Assessment of renal autoregulation - 《American Journal of Physiology》美国生理学杂志干细胞之家



免疫细胞治疗专区	欢迎关注干细胞微信公众号

12 3 4 5 6 7 8 9 10 ... 26 下一页

返回列表

查看: 345297\|回复: 259	go Assessment of renal autoregulation [复制链接]

轻羽

新手上路

Rank: 1

积分: 0
威望: 0
包包: 0

楼主

发表于 2009-4-22 09:42 |只看该作者 |倒序浏览 |打印

作者：William A. Cupples and Branko Braam作者单位：1 Centre for Biomedical Research, Department of Biology, University of Victoria, Victoria, British Columbia; and 2 Departments of Medicine and Physiology, University of Alberta, Edmonton, Alberta, Canada 6 U# x: b; W6 u/ L1 l" a
   4 i+ M  c2 q. `7 C4 q
   3 P/ O2 i/ s4 I, d
      6 K( A. H5 x' Y6 J6 k; \; u% F* d


         / G# _9 d( h0 G# G( `+ y$ J% S' d

         - ^4 j4 k( x' n9 F6 {/ `& c
                  ; i1 s4 i3 o7 Y/ o! ?! J: u



      【摘要】
   The kidney displays highly efficient autoregulation so that under steady-state conditions renal blood flow (RBF) is independent of blood pressure over a wide range of pressure. Autoregulation occurs in the preglomerular microcirculation and is mediated by two, perhaps three, mechanisms. The faster myogenic mechanism and the slower tubuloglomerular feedback contribute both directly and interactively to autoregulation of RBF and of glomerular capillary pressure. Multiple experiments have been used to study autoregulation and can be considered as variants of two basic designs. The first measures RBF after multiple stepwise changes in renal perfusion pressure to assess how a biological condition or experimental maneuver affects the overall pressure-flow relationship. The second uses time-series analysis to better understand the operation of multiple controllers operating in parallel on the same vascular smooth muscle. There are conceptual and experimental limitations to all current experimental designs so that no one design adequately describes autoregulation. In particular, it is clear that the efficiency of autoregulation varies with time and that most current techniques do not adequately address this issue. Also, the time-varying and nonadditive interaction between the myogenic mechanism and tubuloglomerular feedback underscores the difficulty of dissecting their contributions to autoregulation. We consider the modulation of autoregulation by nitric oxide and use it to illustrate the necessity for multiple experimental designs, often applied iteratively. 2 l; Z' j0 \& W0 I/ ]' [" F
      【关键词】 renal blood flow myogenic mechanism tubuloglomerular feedback interaction
   MOST IF NOT ALL VASCULAR BEDS display active stabilization of their blood flow when blood pressure fluctuates. This process can be demonstrated in an isolated preparation perfused with a defined medium, thus precluding any central neural or hormonal input. It is termed autoregulation because the entire process of sensation, transduction, and actuation occurs within the organ or tissue in question. The kidney displays highly efficient autoregulation so that under steady-state conditions, renal blood flow (RBF) is independent of blood pressure over a wide range of pressure. In many organs, flow is regulated and autoregulated to satisfy the metabolic needs of the parenchyma. In the kidney, however, the situation is reversed; parenchymal metabolic work is a function of RBF. More specifically, it depends on glomerular filtration rate (GFR) and thus the amount of sodium that is to be reabsorbed. This concordance of RBF and metabolic rate makes putative metabolic mechanisms of autoregulation unlikely. Two different rationales have been proposed for the importance of autoregulation: regulation of body salt content and fluid balance on the one hand and preservation of glomerular structure on the other., `; z4 y; t! [- {. k; w' S2 a
. W2 S3 b2 K2 d
The purpose of this review is to summarize the available knowledge of autoregulation. It is specifically written for the nonexpert because it has been our experience that the implications and limitations of data acquired from different experimental designs often are not fully appreciated even by the nephrology and renal physiology community. We provide a summary of the mechanisms of renal autoregulation and then discuss in some detail the experimental designs used to provide information about these mechanisms. Finally, we consider the role of nitric oxide (NO) in autoregulation and use its elucidation to illustrate the necessity for multiple experimental designs, often applied iteratively.

Why is Autoregulation Important?+ f2 Z2 c9 c; N: p% ~

RBF is extraordinarily large (2% of body mass receives 25% of cardiac output) to sustain filtration at the glomerulus. The importance of autoregulation is that RBF is driven by blood pressure, which varies continuously and extensively in rats and other mammals (e.g., 2, 60, 62, 79, 114, 205), including humans (e.g., 54, 126 ). The fact that RBF is substantially stabilized, as illustrated by the blood pressure and RBF traces shown in Fig. 1, indicates pressure-dependent adjustment of renal vascular conductance. We are all familiar with Ohm's law: P = Q x R (the pressure drop equals the product of flow and resistance). However, in autoregulation studies, pressure is both the input variable and the one that is manipulated; we feel it is more suitable to express the relationship as Q = P x G (flow is the product of driving pressure and conductance) ( 108, 147 ).
2 i  }* M6 W# k/ @  Y- S
Fig. 1. Blood pressure ( top ) and renal blood flow ( bottom 1 Hz) fluctuation in blood pressure is transmitted into renal blood flow while the prominent slow fluctuations of blood pressure are not.
+ o# k) M  u5 B! X
The importance of autoregulation is variably assigned to a role in regulation of body salt content and fluid balance, or to preservation of glomerular structure. The first perception arises from the understanding that final urine production is the outcome of three flow-dependent processes, i.e., filtration, reabsorption, and secretion, all highly regulated ( 218 ), and from the recognition that regulation of sodium excretion is a, perhaps the, primary function of the kidney. This formulation recognizes that RBF is the input flow to glomerular filtration and that stabilization of RBF contributes strongly to stabilization of GFR and tubular function. If, as is normally the case, fractional excretion of sodium is , h5 j: K4 w4 r/ C
- E; S1 m, {' p: f6 P2 i
Those who consider that the primary role of autoregulation is to preserve glomerular structure do so based on the recognition that the cardiovascular system is primarily mechanical, and that when a mechanical system consistently breaks in the same place one should suspect a mechanical cause ( 149 ). The glomerulus is a high-pressure capillary bed and thus prone to physical injury. Transmission of systemic hypertension to the glomerulus is widely recognized to cause structural damage to glomeruli ( 4, 11, 50, 60 ) and hypertension-induced renal disease begins with a characteristic glomerular injury that occurs in the first capillary loop ( 57, 72, 105 ). In addition, there is a strong association between progression of hypertensive renal disease and constitutive ( 105 ) or relative failure of renal autoregulation ( 11, 60, 85, 94, 183 ). Several recent studies of consomic and congenic strains based on the Fawn-hooded hypertensive rat have shown that failure of autoregulation is linked to the Rf-1 quantitative trait locus that was previously shown to predict development of proteinuria and renal failure in these rats ( 120, 199, 200, 201, 202 ). These findings make a very strong case for a renal-protective role of autoregulation.( e! y, j, s7 @2 |$ P

It should be remembered, however, that the structure of autoregulation, with conductance changes occurring primarily in the afferent arteriole, ensures that stabilization of RBF must also stabilize glomerular capillary pressure and vice versa. Readers wishing to consider this issue in more depth are referred to the recent review by Loutzenhiser et al. ( 123 ).

How and Where Is RBF Regulated?
) X3 ^  M4 j0 I& R2 p- N
Conceptually, one can consider the regulators of RBF in three classes. The first class consists of systemic mechanisms, both neural and hormonal, that transfer information from the rest of the organism to the kidney. These include the endocrine renin-angiotensin system, efferent sympathetic nerve activity, vasopressin, and the family of natriuretic peptides (ANP, BNP, CNP). Although these systems can have profound effects on RBF, their actions are not directionally consistent with autoregulation; nor are they consistent with its autonomous operation. The second class consists of paracrine mechanisms including the intrarenal renin-angiotensin system, NO, endothelin, and eicosanoids that transfer information from one part of the kidney to another. These agonists can profoundly affect RBF ( 139 ) but are ruled out as mediators by the same directional argument or by the rapid kinetics of myogenic autoregulation that effectively preclude all but electromechanical coupling of pressure to contraction ( 121 ). Blood pressure alone (or more correctly renal perfusion pressure) forms the third class of RBF regulators." E+ Q  H% Z# t3 C1 i. T" ^5 h4 j

Since all the arterial segments of the preglomerular circulation and the postglomerular efferent arteriole are vasoactive, it was necessary to identify the sites at which regulators of RBF and autoregulation adjust renal vascular conductance. Early studies showed that RBF and GFR are autoregulated largely in parallel, indicating a preglomerular site ( 56, 171, 174 ). The distributing arteries of the rat kidney are optimized as conductance vessels to transmit the maximum amount of blood with the minimum energy loss ( 222 ), consistent with regulation of conductance in the downstream resistance vessels. Studies using a variety of approaches demonstrated that the afferent arteriole is the primary site at which RBF is regulated and autoregulated. Segmental diameters have been measured in intact kidneys by vascular casting ( 182 ), in the hydronephrotic kidney both in vivo ( 181 ) and in vitro ( 73 ), in the isolated perfused juxtamedullary nephron preparation ( 23, 24, 71, 83, 165, 184 ), and in isolated, perfused afferent arterioles ( 86 ). In addition, perfusion pressure in the various segments has been measured in vivo ( 74 ), and pressure gradients ( 24 ) and perfusate flow ( 184 ) have been measured in the isolated, perfused juxtamedullary nephron preparation. Collectively, these studies have provided irrefutable evidence that autoregulation occurs primarily in the afferent arteriole and to some extent in the interlobular artery, the next upstream segment ( 74, 182 ). None of these studies has provided evidence consistent with pressure-dependent vasoactivity in the efferent arteriole ( 71, 73, 181 ).
2 r: \* `4 [2 z8 r. e& g
At Least Two Mechanisms Mediate Renal Autoregulation9 O: D1 s. C5 _4 a$ x& P& r' X

Thus far we have spoken of autoregulation as though it were a mechanism, but autoregulation is in fact a phenomenon that, in the kidney, is mediated by at least two mechanisms. Studies of RBF dynamics and kinetics consistently show a fast myogenic mechanism and the slower TGF mechanism. There is also increasing evidence that interactions between the two, combined perhaps with a third very slow mechanism, contribute to the overall effectiveness of autoregulation./ _( l6 c: T% G- n* ~, M
/ k, H9 \% f0 n0 ~3 P
Myogenic mechanism. The hydronephrotic kidney, which lacks tubules and thus TGF, shows only one autoregulatory mechanism and its afferent arterioles display graded vasoconstriction when perfusion pressure is elevated in a stepwise fashion ( 73 ). The kinetics and dynamics of this system in vitro are consistent with those of the faster autoregulatory system in vivo ( 38, 121 ). Because it is independent of tubules and because its operating frequency is independent of perfusate flow, this mechanism is presumed to be myogenic, that is to reside entirely within the vascular smooth muscle. Studies of blood flow dynamics indicate that other vascular beds also show a fast, presumably myogenic, autoregulatory mechanism.
* H# f; r# W& h3 X. ]0 E
The myogenic mechanism senses a variable related to transmural pressure (presumably wall tension or hoop stress) rather than a variable related to blood flow as it can be demonstrated in isolated afferent arterioles perfused in the absence of flow ( 86 ). The signal appears to be transduced through the membrane potential of vascular smooth muscle cells which exhibit graded depolarization when perfusion pressure is increased ( 69, 70, 122, 176 ). This depolarization spans the voltage range in which L-type calcium channels are activated ( 122 ). Certainly calcium entry is necessary ( 143 ) but not sufficient ( 177 ) to initiate myogenic constriction, indicating the presence of intracellular regulatory elements.

The key enzymes that govern tone of smooth muscle are myosin light chain kinase and myosin light chain phosphatase for contraction and relaxation, respectively. The details of the function and regulation of these enzymes are beyond the scope of this article and the reader's attention is drawn to several excellent recent reviews ( 177 - 179 ). What is relevant here is that constrictor and dilator pathways are independently regulated ( Fig. 2 ). Myosin light chain kinase is activated by calcium-calmodulin and phosphorylates myosin light chain, leading to enhanced ATPase activity of the myosin which, in turn, increases actin-myosin cross-bridge cycling. Myosin light chain phosphatase appears to be constitutively active and is regulated by an inhibitory phosphorylation mediated by rho-kinase. Inhibition of rho-kinase paralyzes renal autoregulation ( 137, 172 ) and perhaps all vasoactivity ( 172 ), suggesting that regulation of myosin light chain phosphatase plays an important role in determination of renal vascular tone (e.g., Refs. 26, 137, 172 ). The important point is that contraction and relaxation of smooth muscle are both active processes that are mediated and regulated separately, whether activated by perfusion pressure or by agonists.

Fig. 2. Diagram illustrating the major sites of regulation of force generation in vascular smooth muscle. Entry (and removal) of calcium are subject to regulation. Calcium-calmodulin (CaCam), in turn, is a major regulator of the activity of myosin light chain kinase (MLCK) and thus of the rate at which myosin is phosphorylated, denoted by -P. Additional regulatory inputs are sketched as "multiple kinases." Myosin dephosphorylation depends on the activity of myosin light chain phosphatase (MLCP), which itself is subject to an inhibitory phosphorylation by Rho kinase. Myosin phosphorylation and thus force generation depend on the ratio of MLCK and MLCP. Modified from Ref. 178.
# |: x2 v9 p' h& C
An immediate implication of the different routes to contraction and relaxation is that their kinetics need not be identical and, indeed, the kinetics of constriction and dilatation in the afferent arteriole differ considerably ( 121; reviewed in Ref. 123 ). The delay from the start of a pressure transient to the start of constriction is 0.3 s, much shorter than had been considered possible ( 177 ), whereas the delay to dilatation is 1 s. The rapid onset of constriction means that the system can respond to systolic pressure. Recently, Loutzenhiser et al. ( 121 ) have shown that the system responds to individual pressure spikes of 0.3 s, the shortest duration they were able to generate. Thus steady-state myogenic tone is likely to emerge from the difference in the delays with repeated constrictor responses occurring within the time of a single dilator delay. Figure 3 illustrates this, showing equivalent afferent arteriolar constriction whether peak pressure is delivered as a steady-state or as a 2-Hz pulse train.
. |# K. m& f3 O* S6 f! ^
Fig. 3. Response of afferent arteriolar diameter to perturbation of perfusion pressure in the isolated, perfused hydronephrotic kidney. On the left, a 60-mmHg pressure step within the autoregulatory range caused marked and sustained afferent vasoconstriction. On the right, the 2-Hz pulse train with 50% duty cycle, over the same 60-mmHg range, caused equal and also sustained afferent vasoconstriction. Since the peak pressure in both cases was similar whereas the average pressure differed by 30 mmHg, and since increasing pressure causes a graded constriction of afferent arterioles, it is clear that the myogenic mechanism was responding to peak, or systolic, pressure. From Ref. 121.
8 _7 F3 P2 Z2 w- S  Z
TGF. There are several detailed reviews on the TGF system ( 19, 168, 198, 215 ), so a brief discussion of the system will suffice here. In each nephron the distal tubule loops back and makes intimate contact with the vascular pole of its own glomerulus, in particular with its afferent arteriole. In the evolutionary sense, this appears to be a robust design feature of glomerular nephrons since it is present in the pronephric kidneys of elasmobranchs ( 107 ), the mesonephric kidney of amphibians ( 150 ), and the metanephric kidneys of birds and mammals ( 6, 43 ). It provides an obvious and unique route for passing information about tubular fluid composition in the distal nephron to the afferent arteriole to regulate GFR. TGF has a sensor ([Cl - ] at the macula densa), effector (altered preglomerular conductance), and direction (increased early distal delivery and transport reduces conductance) that are all consistent with autoregulation. It should be noted that there remains some uncertainty as to which specific component of tubular fluid is sensed at the macula densa. A recent study ( 101 ) and the accompanying commentary ( 13 ) highlight the potential for changes in luminal osmolality to contribute to signaling at the macula densa. Presumably changes in osmolality modulate Cl - signaling, although current understanding is limited. There is strong evidence that the downstream constrictor signal of TGF is adenosine (reviewed in Ref. 68 ), although ATP has also been implicated ( 141 ). Parenthetically, this provides metabolic stabilization to the kidney because reducing RBF inevitably reduces tubular work.% `1 [$ d+ c; x4 e) [' ?( \& @

TGF is routinely studied by interrupting proximal tubular flow and perfusing the loop of Henle at varied flows. One measures either nephron GFR or a related variable such as stop-flow pressure (proximal tubular pressure once it has risen enough to stop filtration) ( 219 ), which is a reasonable surrogate measurement for glomerular capillary pressure ( 9, 20 ). Stop-flow pressure and preglomerular conductance are highest when flow through the loop of Henle is zero. Increased loop perfusion reduces stop-flow pressure by reducing preglomerular conductance. The primary site of action of TGF is the afferent arteriole, although there is some evidence for involvement of the efferent arteriole ( 14, 44, 82, 158 ). Under most conditions, TGF has a limited dynamic range and can account for less than half of autoregulatory conductance change ( 41 ). In response to sustained reduction of renal perfusion pressure, TGF resets to operate at the new pressure and reduced tubular flow ( 170 ), an action that appears to involve ANG II ( 36, 75, 180 ).

Alternatively, TGF can be assessed in closed loop mode with small perturbations of proximal tubular flow around control levels and early proximal flow assessed as a surrogate of single-nephron GFR ( 34, 186 ). These studies have shown that TGF provides substantial stabilization of early proximal flow that adjusts to changes in volume status ( 186 ); it also adjusts to sustained alterations of proximal reabsorption ( 189, 191 ) by a mechanism that involves nitric oxide synthase (NOS) at the macula densa ( 45, 187 ), but apparently not ANG II ( 45 ). Model-based interpretation of such data suggests that TGF may be a less efficient regulator of glomerular capillary pressure than of GFR ( 190 ). Both the blood pressure-dependent and the proximal flow-dependent changes in TGF are consistent with a role in autoregulation.3 M: K5 d0 O, O
# t- k3 S1 o( W, r" |1 R
The hydronephrotic kidney displays effective autoregulation both in vivo and in vitro ( 73, 181 ). In contrast, kidneys of Fawn-hooded hypertensive rats show strongly impaired myogenic responses ( 204 ) and autoregulation ( 203 ), despite normal or even enhanced TGF responses ( 206 ). These data suggest that TGF is neither necessary nor sufficient for effective autoregulation and that the myogenic mechanism is both necessary and sufficient. However, many reports from a number of laboratories employing a variety of experimental designs have made it abundantly clear that TGF contributes significantly to autoregulation of RBF and GFR. In amphibians ( 150 ) and mammals ( 24, 214, 221 ), TGF regulates RBF. Many laboratories have shown that TGF accounts for some part of autoregulation in mammals ( 21, 36, 41, 87, 92, 131, 138, 208, 219 ). Assessments of RBF dynamics routinely show a TGF signature although it has proven difficult, for technical reasons (see Limitations of Transfer Functions ), to determine the contribution of TGF to autoregulation using time-series analysis. Experiments assessing the response of RBF to pressure steps have attempted to quantify the contribution of TGF to autoregulation under various experimental conditions ( 36, 88, 89, 134 ). Estimates of the TGF contribution are widely scattered, ranging from 20 to 50% of complete autoregulation, with the remainder divided between the myogenic mechanism and a putative third mechanism ( 88, 89 ). Three issues need to be resolved before we can assess quantitatively the contribution of different mechanisms to autoregulation: 1 ) the involvement of the renin-angiotensin system; 2 ) the implications of the TGF-mediated, vascular interaction among adjacent nephrons; 3 ) the known interaction between myogenic and TGF mechanisms, and perhaps a third mechanism.

Putative third mechanism. Two other vascular mechanisms have been observed that are intrinsic to the renal circulation. One is an autonomous oscillator with a natural frequency of 0.7 Hz. This oscillator is seen occasionally in normotensive rats, more commonly after nonselective inhibition of NOS (e.g., Ref. 210 ), and routinely in stroke-prone spontaneously hypertensive rats ( 2 ) and after intrarenal ETB blockade ( 173 ). It does not appear to contribute significantly to autoregulation, and its origin and role, if any, are unclear at the present time.  I* j0 c' o! d0 k4 r
6 y5 x7 I' L" M5 m; A
In several reports Just and colleagues ( 87 - 89 ) have suggested the presence of a third autoregulatory system that is considerably slower than TGF in both dogs and rats. The dynamics of such a mechanism appear to be consistent with the reversed-phase oscillation of RBF induced by very slow sinusoidal forcing of blood pressure ( 135 ). To date, little is understood about it mechanistically and one must consider that it appears to operate in a frequency range (* G5 {, ^2 e2 }+ B
/ b4 W" f% i6 r; D' I
Involvement of the renin-angiotensin system. Another important consideration is that the TGF response and renin secretion share the same sensor. When loop flow and salt delivery are low, afferent arteriolar conductance is increased and renin secretion is stimulated ( 118, 175 ). ANG II is formed, acts at multiple sites, and is degraded within the kidney ( 160 ). This suggests that the relevant actions of ANG II are largely paracrine in nature although its endocrine role must also be considered. Due to the high convective fluxes within the kidney and to the very high metabolic clearance of ANG II by the kidney ( 160 ), paracrine effects of ANG II are likely to display rapid on- and off-kinetics. On the other hand, endocrine actions of ANG II can be expected to have a slower off-response than on-response because of the asymmetry in renin kinetics, rapid secretion and accumulation in the extracellular fluid coupled with a half-life on the order of 15-30 min ( 96 ). Recent findings indicate that proximal tubular reabsorption and local ANG II concentration can under some conditions operate in an opposite fashion to the systemic renin-angiotensin system: salt loading is accompanied by enhanced proximal tubular reabsorption and is still under strong influence of ANG II ( 188 ).

ANG II acts on at least four sites within the TGF circuit. It acts directly as a vasoconstrictor on both afferent and efferent arterioles. Although mesangial cells in vitro are contractile (e.g., Ref. 129 ), it is unlikely that they play a significant role in autoregulation because they express -smooth muscle actin only in vitro ( 49, 51, 97 ); this isoform is a marker of the contractile phenotype in smooth muscles ( 67 ). ANG II is a major regulator of reabsorption from the proximal tubule, thus altering the signal that reaches the macula densa ( 119 ). Importantly, it is also a strong modulator of the magnitude of the TGF response; this effect occurs at the afferent arteriole and is apparent in the absence of ANG II-dependent vasoconstriction ( 17, 155, 156 ). Thus modulation by ANG II of both myogenic ( 99 ) and TGF-mediated ( 130, 140 ) autoregulation is at least conceptually independent of its vasoconstrictor effect. The separation of GFR and RBF at low perfusion pressures (GFR is autoregulated to lower pressure than is RBF) results from ANG II-mediated efferent constriction combined with autoregulatory afferent vasodilatation ( 66, 161 ).% N  ?1 d& p! `& j

Interactions in Autoregulation' k$ q1 N' s& `, m% p
# c# a  g% g. L! l
TGF-mediated vascular interactions between nephrons. In a modeling study, we showed that TGF, acting in individual nephrons, could account for autoregulation of glomerular blood flow, but only over a narrow pressure range of 30 mmHg ( 41 ). This result could be achieved only if a faster, presumably myogenic, mechanism had removed all compliance from the renal arterial circulation, allowing TGF to operate on a constant basal preglomerular conductance. Thus it became clear that TGF, operating in a single nephron, could account for only a portion of the autoregulatory plateau. At that time, it was not appreciated that there is a TGF-mediated, vascular interaction (i.e., cross talk) among nephrons whose afferent arterioles arise from the same interlobular artery ( 93 ). This interaction is constructive and therefore has the potential to increase the contribution of TGF to autoregulation ( 27, 76, 93 ). The signal propagates rapidly between afferent arterioles and is thus presumed to involve depolarization and electrotonic transmission, as does propagation of KCl-induced constriction in the afferent arteriole ( 207 ). For this reason, and because vascular smooth muscle cells, which are electrically continuous with the endothelium ( 104, 185 ), exhibit graded, pressure-dependent depolarization, one might expect the radius of interaction to increase with perfusion pressure.! k/ p! ^# e4 h; H

One implication of this interaction is immediately apparent. Even today, it is often assumed that TGF in each nephron operates independently of all other nephrons. Clearly, this assumption is untenable, and we should be thinking of a unit of autoregulation that is larger than an individual nephron and its arterioles (the "nephrovascular unit"). We should consider that the size of this unit probably varies with blood pressure and with the ambient influences of modulators such as ANG II, which can significantly enhance conducted (remote) responses, at least in the mesenteric circulation ( 64 ).+ z% G4 m/ @+ b8 J

In a technical tour de force, Casellas et al. ( 25 ) demonstrated the anatomic foundation for such interactions, showing that average interglomerular spacing is similar to length constants measured in the renal microcirculation ( 207 ). Although the difficulty of working with the renal microcirculation in intact kidneys has limited exploration of the implications of the TGF-mediated, vascular interaction ( 164 ), the study of conducted responses and their implications is an active area of research in more accessible vascular beds (e.g., Refs. 46, 48, 64, 65, 106 ). Recently, there has been significant progress in an understanding of both the mechanisms of and the consequences for vascular regulation of conducted responses. In particular, there is strong potential for smoothing in both spatial and temporal dimensions ( 47 ).

Interaction between myogenic and TGF mechanisms. Understanding the interactions between TGF and the myogenic mechanism is of major importance. Both operate on the afferent arteriole, and the TGF sensor is downstream of all other components of both control mechanisms. Both have been demonstrated to induce vasoconstriction in response to a blood pressure increase and vasodilatation in response to a blood pressure decrease. Schnermann and Briggs ( 167 ) showed that the dynamic range of TGF increases with renal perfusion pressure and that autoregulation of glomerular capillary pressure is strongly dependent on flow through the loop of Henle. This finding is strong evidence for an interaction between TGF and the myogenic mechanism. It is transparently obvious from these and other data (e.g., Refs. 131, 184, 208 ) that the two mechanisms interact and that the interaction is constructive. What is much less obvious is how the constructive interaction occurs. If the two mechanisms operated independently, then one would expect their outputs to collide and thus impair autoregulation (i.e., a destructive interaction). Feldberg et al. ( 52 ) concluded that it is difficult to construct a model in which both negative feedback controllers operate on the same actuator and generate a constructive interaction., J& u9 ?0 e8 V" r

Perhaps the first question is what is the benefit of having two separate autoregulatory mechanisms in the kidney? As shown in a variety of systems, including various motor control tasks, two or more systems operating in parallel with appropriate parameters can provide both high gain and stability (e.g., Refs. 133, 144 ). There is strong evidence from the motor control literature that multiple control mechanisms with different kinetics and operating together can provide optimal regulation in conditions where the input signal can display a wide range of amplitudes and frequencies ( 53, 133, 144 ). In such cases, the faster mechanism may be ballistic, with negative feedback being provided by the slow mechanism, or both may be negative feedback mechanisms. The relative contribution of the two mechanisms to any given input perturbation is variable and depends on the input amplitude and its rate of change. Along these lines, it has been suggested that the myogenic mechanism is a predicting or ballistic system with negative feedback being provided by the slower TGF mechanism ( 53 ). The TGF mechanism is a negative feedback control system that regulates distal delivery, although it is less obvious that the myogenic mechanism acts as a negative feedback system to regulate RBF., X, X3 @( D0 b* f
# q% z4 M+ t0 v: z1 J
Interacting control systems commonly generate nonadditive behavior. Technically, such processes are considered to be nonlinear and/or nonstationary. A process is linear if the input and output remain proportional within the range of input perturbations that is used. Similarly, a process is stationary if it is stable over time; for a control mechanism, this means that the same input perturbation always induces the same output response. In a series of studies, Chon, Marsh, and Holstein-Rathlou separately and jointly have addressed the interaction using newly developed analytic techniques to extract information from time-series data. They have shown the presence of a high-order, nonlinear interaction between the two systems ( 28 - 30, 32, 78 ) that is particularly apparent in hypertensive rats ( 220, 227 ); the implications of this finding with respect to hypertension are not yet clear. While these methods demonstrated the presence of a nonlinear interaction, they have been less successful in providing physical insight into its origin and consequences. In addition, there is a caveat that needs to be considered. To date, all studies of interactions between the two mechanisms have used rats, and it is not clear how far these findings can be generalized. In rats, one routinely sees low coherence between blood pressure and RBF at frequencies
6 ~" J5 S" v* O; W# O
Recently, Chon and colleagues ( 157, 224, 225 ) have taken a different approach. Recognizing that stochastic events or other nonstationary behavior would previously have been characterized as nonlinearities, his laboratory has concentrated on developing techniques to extract information about the time-varying behavior of autoregulation. The resulting time-varying coherence and transfer functions have shown that TGF often contributes intermittently to autoregulation. Not only do these methods identify a dynamic complexity, they also provide physical insight into its origins.
1 ?' S4 o' o1 B& ]. }' X
Several proposals have been put forward to explain the function of the TGF-myogenic interaction. One early proposal was that the myogenic mechanism dithered TGF ( 221; to dither a control system is to add jitter and thus minimize error due to internal stickiness). This can be a useful strategy, although in the present case tubular compliance and transport kinetics act as a low-pass filter to prevent the relatively high-frequency oscillations generated by the myogenic mechanism from reaching the macula densa ( 112, 162 ). A second proposal was that TGF, acting in the most distal segment of the afferent arteriole, altered upstream resistance and thus upstream pressure, provoking an ascending myogenic response ( 132 ). A test of this idea using a dynamic model suggested that the system requirements were unlikely to be encountered under physiological conditions ( 52 ). Current thinking is that TGF modulates the myogenic mechanism so that, for instance, myogenic vasoconstriction is enhanced when TGF is activated ( 208 ). Such modulation has been identified in a variety of experimental designs ( 88, 172, 208 ). Figure 4 illustrates one such experiment, in which the response of afferent arteriolar diameter to a step increase in perfusion pressure was measured with TGF intact and interrupted. Interrupting TGF not only removed the late constrictor response but also truncated the early response, consistent with modulation by TGF of the myogenic mechanism. Evidence of modulation has also been extracted from pressure-flow data using sophisticated time-series analysis ( 32, 157 ). Interestingly, the modulation appears to involve NO generated at the macula densa ( 88, 172 ). Aspects of these interactions are discussed in some detail elsewhere ( 37 ).
! z7 o/ `- g9 r- z( A) j
Fig. 4. Results obtained in the isolated, blood-perfused juxtamedullary nephron preparation. A pressure step from 100 to 140 mmHg was imposed, and the response of afferent arteriolar diameter (AAD) was tracked until the resulting constriction was complete. TGF-intact ( ) and -independent ( ) kinetic responses are shown. A 13 s. The same analysis revealed a modulation of the initial response ( A 24 s. B 68 s when TGF was intact and was completely abrogated when TGF was interrupted. * P
' `4 \( T: P5 g/ b0 X$ a
General Considerations When Renal Autoregulation Is Assessed

To this point, we have seen that mechanistically renal autoregulation is remarkably complex. Consequently, methodological considerations play an important part in the choice and interpretation of experimental designs. For any analysis, be it static or dynamic, considerable processing or reduction of the data occurs to extract important features. In all cases, one should be able to visually examine the original data and predict what the finished analysis will look like.1 s: V/ d$ I/ V( J* k( G
9 \8 L, u1 A0 q" C$ c8 d5 k
When assessing autoregulation, one can measure the response to altered perfusion pressure of RBF, GFR, diameters of arteriolar segments, or glomerular capillary pressure. Because pressure-dependent conductance changes occur in the preglomerular circulation, it is generally held that measurement of any one of the four variables produces similar information. That being so, technical issues play a major role in experimental design. The diameters of relevant vascular segments are accessible only in reduced preparations such as the hydronephrotic kidney or the isolated, perfused juxtamedullary nephron preparation and are of course nonlinearly related to conductance and RBF. Similarly, glomerular capillary pressure can be assessed only by micropuncture and only by a limited number of laboratories. The advent of blood flowmeters that were reliable, accurate, and gave essentially instantaneous measurement led to routine choice of RBF as the most robust and rapid measurement. Nevertheless, one should always be aware that there are situations in which GFR or glomerular capillary pressure is the more appropriate variable to measure.! s3 p5 h* u  B5 {0 T
" t! e, }$ G. X7 q- c
To assess autoregulation, one needs an adequate range of renal perfusion pressure, both within and below the "autoregulatory range" in which RBF is independent of blood pressure. Renal perfusion pressure can be increased above control levels by one or more of several means. Use of an extracorporeal reservoir and direct pump perfusion of the kidney has been productive (e.g., Ref. 174 ) but has fallen out of favor due to the extensive manipulation required and the recognition that autoregulation is often susceptible to such manipulation. The problem was recognized 50 years ago ( 55 ), has been described in a number of important vascular beds including hindlimb, liver, and intestine ( 55, 109 ), and may involve activation of a blood component that is cleared by the lungs ( 55, 172 ). This susceptibility in no way precludes protocols involving extracorporeal circuits or intra-arterial hardware. It does mean that such studies must be internally controlled and should not be compared quantitatively with studies that use less invasive protocols. This constraint applies to both in vivo studies and to blood-perfused in vitro preparations.
0 u$ \8 |! S4 K# g& ^- O
Commonly, bilateral carotid occlusion is used to unload the baroreflexes. Concern has been expressed about the potential effects on autoregulation of changing sympathetic activity within an experiment. In rats, pressor amounts of phenylephrine have little or no effect on RBF ( 100 ) or on RBF dynamics ( 172 ) while acute renal denervation has little effect on steady-state autoregulation ( 35 ) or on RBF dynamics ( 1, 92, 125 ). In dogs, infusion of norepinephrine has little effect on steady-state autoregulation ( 128, 136 ), although the lower limit of autoregulation may be shifted right during bilateral carotid occlusion ( 151 ). Another approach is to mechanically increase total peripheral resistance by partial occlusion of major vascular beds, usually the distal aorta and splanchnic beds. This approach can be used alone or combined with infusion throughout the experiment of a cocktail containing pressor concentrations of phenylephrine, vasopressin, and ANG II ( 159 ). While these approaches avoid the problems associated with carotid occlusion, they have their own problems. For example, it is possible to induce hypoxia in the gut with deleterious effects on the organism. Equally, ANG II is known to increase the gain of both autoregulatory mechanisms ( 99, 156 ) and to affect the range of blood pressure in which they are effective ( 36, 75, 180 ). In Brown Norway rats, although not other strains, pressor amounts of vasopressin impair myogenic autoregulation ( 211 ). This is noteworthy because the Brown Norway rat is the source of the rat genome and is often used to construct consomic and congenic strains (e.g., Ref. 120 ).

Common experimental designs: implications and limitations.

ASSESSMENT OF AUTOREGULATION: PRESSURE LADDERS. In the classic experiment illustrated in Fig. 5, blood pressure is first raised and RBF allowed to stabilize at a new steady state. Blood pressure is then reduced in steps by progressive tightening of a clamp on the renal artery (in large mammals) or on the suprarenal aorta (in rodents). At each step, RBF is allowed to stabilize at a new steady state and then recorded. The resulting pressure-flow curve defines steady-state autoregulation. This procedure is commonly called a "pressure ramp," but is referred to here as a "pressure ladder" to differentiate it from a ramp in which pressure is varied continuously. The pressure-flow relationship is interpreted in terms of the efficiency of autoregulation and the lower and upper limits of autoregulation that define the operating range. The range is the pressure region in which RBF is largely independent of renal perfusion pressure and typically spans from 75 (dogs) or 85 mmHg (rats, but somewhat dependent 160 mmHg. Efficiency is simply the slope (% RBF/% pressure), or gain, within the autoregulatory range. This approach is only valid when baseline and experimental RBF levels are similar or, more commonly, when the data are normalized to the RBF at some reference pressure (typically 100 mmHg). To the extent that the autoregulatory range is discrete, the lower and upper limits are those pressures beyond which autoregulation fails because maximum/minimum achievable conductance has been reached. In practice, the upper limit is rarely approached unless pump perfusion is used. The derived parameters define 1 ) the effectiveness of autoregulation within the autoregulatory range and 2 ) the actual autoregulatory range itself.
8 K! O5 A& I- j6 s
Fig. 5. Experiment in which left renal perfusion pressure was regulated by a servo-controlled clamp on the aorta between the left and right renal arteries. The top trace is renal perfusion pressure (RPP), and the bottom trace is the resulting renal blood flow (RBF). RPP was first reduced in steps of 1 min and 10 to 65 mmHg. It was then held at 105 mmHg for 30 min, after which 10-, 20-, and 30-mmHg upward and downward steps were randomly imposed for 1 min each and with a 3-min interval before each step. Inset : pressure-flow relationships constructed from the sequential pressure reduction (solid line) and from the random pressure steps (dashed line).
; a: Y4 ~7 ?3 R
Large mammals demonstrate a fairly discrete autoregulatory range, and the lower limit is often assessed as the intersection of two lines describing the data within and below the autoregulatory range. This procedure is not reliable when small mammals are used because the autoregulatory range is less discrete. In addition, rat studies typically have fewer and more widely spaced data points, resulting in considerably less certainty about the location of the lower limit. Turkstra et al. ( 196 ) derived a formal procedure to determine the lower limit of autoregulation. They fitted their pressure-flow data to a logistic equation. The shoulder of this curve is determined as the point at which the third derivative equals zero and is defined to be the lower limit. Although the data are fitted to one of several equations that could have been chosen, the determination of the lower limit is robust. Pires et al. ( 153 ) assessed the pressure-flow relationship in conscious rats that had been subjected to chronic sinoaortic denervation to increase fluctuation of blood pressure and compared the ability of several sigmoidal equations to fit their data. However, they then defined the lower limit as the pressure at which RBF had declined 5% below its value at the plateau, a procedure that lacks theoretical underpinning.

In a series of studies, Bidani, Griffin, and colleagues ( 2, 10, 11, 12, 59, 60, 61, 62, 65 ) have demonstrated beyond question that the efficiency of autoregulation assessed using this pressure ladder approach predicts the rate of progression of hypertensive renal disease. Recently, autoregulatory efficiency has been genetically linked to the Rf-1 quantitative trait locus in Fawn-hooded rats that predicts proteinuria and renal failure ( 120, 199 - 202 ). Thus the experiment possesses important predictive power. Nevertheless, three significant limitations are immediately apparent." L' F. l2 t6 @7 k; [( ~

First, because it assesses the steady-state response, it neglects the information about mechanism that is provided in the time course of a control system. Some information concerning the mechanisms of autoregulation can be inferred by use of agents known to specifically affect one component of autoregulation, e.g., furosemide, which effectively blocks the TGF mechanism ( 168, 217 ). Recently, a note of caution has been introduced by the demonstration that loop diuretics can also inhibit myogenic responsiveness directly ( 212 ) and, in general, the selectivity of inhibitors tends to decline with time. Second, it assesses only pressure-induced dilatation. Some laboratories that use in vitro preparations such as the hydronephrotic kidney employ an ascending pressure sequence which assesses only constrictor responses so that the same limitation applies. Third, to be useful the experiment must include pressures that are below the autoregulatory range and thereby within the range in which renin secretion is extremely sensitive to blood pressure ( 98 ). This results in ANG II-dependent hysteresis between the pressure-flow curve obtained during pressure reduction and the reciprocal curve obtained during pressure restoration ( 36, 180 ).

One variant of the basic design is to hold renal perfusion pressure at a control level of 100 mmHg; periodically, blood pressure is altered up or down by a variable amount and for a short time, then restored to the holding pressure (shown in Fig. 5 ). This experiment assesses autoregulatory dilatation for pressures below the holding pressure and autoregulatory constriction for pressures above the holding pressure. Furthermore, it does not truly mitigate the problem of hysteresis ( 53 ).; H3 a8 q( _; ^9 N) R/ I2 ~

ASSESSMENT OF AUTOREGULATION: PRESSURE RAMPS. A somewhat different approach was taken by Flemming et al. ( 53 ), who began with the observation that, in frequency terms, a step is a more complex signal than a ramp and has substantially more high-frequency content. Consequently, a ramp, in which blood pressure is changed continuously and smoothly, allows much better isolation of slow and fast inputs. This is relevant because TGF responds preferentially to inputs slower than 0.1 Hz ( 112, 162 ). By using ramps that varied over an eightfold range of velocity, this study demonstrated rate-dependent differences in the efficiency of autoregulation. The faster ramps provided rates of pressure change that would be expected to stimulate both TGF and myogenic mechanisms; these ramps provoked stronger autoregulatory responses than did the slower ramps, whose frequencies more closely approximated that of TGF. It is thus a reasonable inference that the myogenic mechanism responds preferentially to faster inputs. Furthermore, it is reasonable to conclude that the relative contribution of the two autoregulatory mechanisms varies with the shape of the input signal; this, of course, contains implications for attempts to partition the contributions of the two mechanisms. Finally, these results show that the down-up hysteresis is present in any experiment, whether steady state or dynamic, in which renal perfusion pressure has been below the critical level for long enough to engage renin secretion ( 53 ). Recall that changing ambient ANG II concentration can affect autoregulation in a number of ways, some of which are predictable ( 36, 99 ) and others that are less well understood ( 18, 188, 197 ).) o$ z6 q4 N* Z) H
* J  W$ S/ M. _9 O2 a) M$ ~4 K1 o
ASSESSMENT OF AUTOREGULATION: KINETICS. This experiment is designed to extract the kinetics of autoregulation and to partition the contribution of each mechanism to the whole and has been used both in vivo and in vitro. One analyzes the response of RBF to either a single pressure step or to repetitions of the same step. There are several technical and conceptual issues that always need to be considered in this experiment. First, to reliably assess kinetics, one needs a pressure step that is effectively instantaneous. This requirement can be met using properly designed in vitro systems (e.g., Ref. 121 ), but this is difficult to achieve under in vivo conditions. When a suprarenal aortic clamp is used to adjust renal perfusion pressure, as is usually the case, a large pressure drop across the clamp is required to generate a rapid change in renal perfusion pressure. It is rare that this can be achieved while maintaining renal perfusion pressure within the autoregulatory range. In addition, compliance in the systemic circulation limits the rate of pressure change. Another consideration is that to reliably step between two perfusion pressures, one needs a feedback control circuit to drive the aortic occluder. The requirement for stability limits the gain that can be used and demands a low-pass filter in the control circuit at a frequency below that of heart rate ( 36 ). Therefore, most in vivo experiments are probably not adequate to properly characterize rapid events that occur within the first 2-3 s after a pressure change. Second, a high signal-to-noise ratio is required to extract delays and rates of constriction and relaxation from the fitted data. This can be achieved by using large individual steps (e.g., 80 mmHg) ( 121 ) or smaller, repeated steps with coherent averaging. The former gives confidence in the signal-to-noise ratio but obscures known and suspected pressure-dependent changes in dynamics ( 38 ). We are not aware of in vitro studies that have employed coherent averaging of small steps at multiple pressures.

Analysis of the response of afferent arteriolar diameter ( 121 ) or of RBF ( 36, 87 - 89, 134 ) to such a step change in renal perfusion pressure is greatly facilitated by monotonic responses. However, under some conditions the myogenic system in particular shows more complex kinetics that are difficult to interpret. This is much more of an issue when isoflurane ( 134 ) rather than either halothane ( 36 ) or pentobarbital sodium is used ( 87, 88, 89 ). Blood pressure and RBF dynamics assessed under isoflurane anesthesia more closely reflect those of the conscious state, suggesting that the older anesthetics interfere with autoregulation ( 116 ). Information about other anesthetic regimes such as ketamine-xylazine mixtures is lacking.
$ r* k% s6 M* d6 H/ p
A conceptual issue with this experiment also needs to be considered. Partitioning the contribution of the different autoregulatory mechanisms is valid only if they are additive and independent. That is, if the two mechanisms interact in such a way that either one affects the contribution of the other, then assessing the contribution of either may well be misleading. We have seen above that the myogenic and TGF mechanisms interact in a nonlinear fashion, indicating that they are not additive. Moreover, as shown initially by Walker et al. ( 208 ) and subsequently explored by others ( 88, 172 ), TGF modulates the contribution of the myogenic mechanism. Thus interpretation of these experiments, and of equivalent experiments using frequency domain analysis, is by no means straightforward.: P  Y; b8 a% a8 ^

ASSESSMENT OF AUTOREGULATORY DYNAMICS. Visual inspection of blood pressure and RBF traces reveals both similarities and differences (e.g., Fig. 1 ). Both blood pressure and RBF show characteristic periodic (oscillating) components at heart rate, at respiratory rate, and at longer time scales that arise largely from sympathetic vasomotor activity. While these and other components are visible in raw data, they can be more concisely and informatively represented in power spectra (or periodograms) which display the variance in a signal as a function of frequency. If a signal varies (oscillates) at a particular rate, then it will have a large variance component (spectral power) at that frequency. Thus prominent features in one representation are also notable in the other. Technically, one can map from one representation to the other so that oscillations in a time series appear as discrete peaks in the corresponding power spectrum. Figure 6 shows the power spectrum of the blood pressure record illustrated in Fig. 1. Periodic events, notably heart rate and respiration, and its harmonics in this mechanically ventilated rat, appear as individual peaks in a power spectrum. In rats most blood pressure spectral power between 0.01 and 1 Hz arises from sympathetic vasomotor traffic ( 166, 213 ). The neural contribution to blood pressure variance occurs at somewhat higher frequencies in mice ( 91 ), and at lower frequencies in larger mammals. Lower frequency spectral power is dominated by aperiodic fluctuation that often results from individual or intermittent events and from circadian rhythms.1 t3 ^  ?+ u0 W: S0 c9 j& K5 P

Fig. 6. Power spectrum of the blood pressure (BP) record shown in Fig. 1. The power spectrum shown is the average of spectra of 7 overlapping segments (50% overlap) encompassing the entire pressure record. In this animal, which was treated with atropine and mechanically ventilated, periodic events (respiration and heartbeat) are evident as discreet peaks. Respiration produced the strong peak at 1 Hz and its harmonics at 2 and 3 Hz. Heart rate produced the strong peak at 8 Hz. In addition, there is considerable power at frequencies : u/ [( G" @: ^. l: ~3 o4 s

Our interest is in the relationship between pressure and flow, not simply in their individual representations. In particular, we wish to understand the processes that are initiated by fluctuations in blood pressure and alter renal vascular conductance to stabilize RBF and glomerular capillary pressure. Conceptually, these processes can be exposed and characterized as the transfer function that operates on input to generate output. While blood pressure is always the input variable, either RBF or vascular conductance (or resistance) can be considered as the system's output. In our discipline, pressure-flow transfer functions are used more commonly because pressure and flow are independent measurements. However, pressure-conductance transfer functions are useful in some circumstances (e.g., Refs. 1, 80, 117 ). Interpretation of pressure-conductance transfer functions is discussed in some detail in those papers.4 g" x/ `# s/ P( I& A3 k
( C) [; c  R! ^/ ]! Y% m
Figure 7 illustrates the information needed to assess RBF dynamics. Results from two groups of isoflurane anesthetized rats are plotted; the first (Wistar rats) display effective autoregulation mediated by both mechanisms; the second (Fawn-hooded hypertensive rats) display gravely impaired autoregulation. It is helpful to read these graphs from right to left, that is, from high-frequency (fast) events to low-frequency (slow) events. Figure 7 A depicts the blood pressure power spectra resulting from spontaneous fluctuation of blood pressure. The amount and pattern of pressure fluctuation can vary significantly depending on the experimental model employed, whether the animal is anesthetized, and the type of anesthetic used ( 1, 40 ). Spontaneous blood pressure fluctuation is sufficient to drive autoregulation in the kidney and in other vascular beds (e.g., Refs. 1, 3, 40, 116, 152, 169, 223 ). However, for technical reasons blood pressure is usually forced; that is, one adds fluctuation in a range of frequencies that is wide enough to span the region of interest ( 78, 95 ). Such "broadband" forcing ensures that all relevant input frequencies are equally represented and that the relevant control loops are opened. Comparison of the pressure spectra in Figs. 7 A and 8 A shows the effect of forcing on both the scale and the distribution in frequency of pressure fluctuation. Blood pressure has been successfully forced using a variety of techniques including atrial fibrillation ( 42, 163 ), paced breathing ( 142 ), and computer-driven devices such as a bellows connected to the distal aorta ( 80 ) and a suprarenal aortic clamp ( 213 ).

Fig. 7. Presentation of RBF dynamics. The figure shows results obtained from Wistar rats that autoregulate effectively and from Fawn-hooded hypertensive rats that have grossly impaired autoregulation. A : spontaneous blood pressure power spectra. The Wistar rats show a strong peak at 0.2 Hz, presumably reflecting baroreflex dysfunction. B : squared coherence between blood pressure and RBF. In the Wistar rats, peak coherence occurs at 0.3-0.6 Hz, consistent with pressure-passive dynamics in this region of the spectrum, and coherence is reduced at frequencies below 0.2 and 0.04 Hz, consistent with operation of autoregulation. In contrast, the Fawn-hooded hypertensive rats display essentially unity coherence below 0.1 Hz, consistent with pressure-passive dynamics in a region of the spectrum where autoregulation is normally active. They show somewhat reduced coherence above 0.1 Hz, presumably because the reduced pressure power in this region results in a lower signal-to-noise ratio. C 0.2 Hz in both strains. In the Fawn-hooded hypertensive rats, gain declines almost monotonically toward 0 dB as frequency decreases, consistent with pressure-passive behavior of the renal circulation over the entire range of frequencies examined. In contrast, the Wistar rats show a discrete reduction of gain below 0.2 Hz and a local maximum in gain between 0.04 and 0.05 Hz. D : admittance phase spectra that complement the gain spectra. Thus the Wistar rats display a strong positive phase peak coincident with the gain reduction below 0.2 Hz and another phase peak at 0.03 Hz, while the Fawn-hooded rats show an almost flat phase spectrum. Interestingly, the signature of an autonomous oscillator, a phase transition from negative to positive and associated local maximum in gain, can be seen in the transfer function of the Wistar rats at 0.7 Hz. The physiological role, if any, of this oscillator is unclear. The Fawn-hooded hypertensive rats were a gift from Dr. A. P. Provoost, Erasmus University, Rotterdam, The Netherlands.
6 V, z* g2 b+ e: N8 R$ L4 w8 Q, S
Fig. 8. Effect of the calcium channel blocker nifedipine on RBF dynamics. In this experiment, blood pressure was forced by a computer-driven suprarenal aortic clamp. In 5 Wistar rats, a control record was acquired (RPP = 104 ± 2 mmHg, RBF = 5.6 ± 1.4 ml/min), following which nifedipine was infused intravenously (10 µg/kg plus 15 µg·kg -1 ·min -1 ) and caused modest changes in renal hemodynamics (RPP = 98 ± 3 mmHg, RBF = 6.3 ± 1.4 ml/min). Blood pressure power spectra ( A ) and squared coherences ( B ) were similar in the 2 periods. Gain reduction by the myogenic mechanism ( C ) was substantially impaired during nifedipine infusion ( P   m2 w8 f# s( Q6 t- m+ m' s

Coherence (technically, squared coherence) is shown in Fig. 7 B and is analogous to correlation. Coherence can vary from 0 to 1; a coherence of 1 indicates that fluctuations of RBF can be completely predicted from fluctuations of blood pressure, while a coherence of 0 indicates that blood pressure fluctuations do not predict RBF fluctuations. When coherence between two variables is low, three possible explanations must be considered. First, the two variables may be unrelated: obviously in this case there is no further analysis to be done. Second, low coherence may result when a linear and stationary input-output relationship is contaminated by measurement noise. This does not originate in the analysis but is instead a measurement problem that limits the ability of a transfer function, or any other analysis, to capture the underlying processes. Third, the two variables may be related, but with significant nonlinearities or nonstationarities in the relationship. In this case, caution is required in interpreting the transfer function and the interpretation must involve careful inspection of the original data to ensure that the transfer function has correctly captured the dynamics of the system being tested. Under conditions of spontaneous pressure fluctuation as in Fig. 7, coherence declines below 0.2 Hz and again below 0.04 Hz; when pressure is forced, as shown in Fig. 8, only the decline below 0.04 Hz remains. Note that in both cases coherence is 0.5 at frequencies below 0.01 Hz. It is generally considered that coherence , A6 z# a+ G  h  [  G
3 z% Q' V" q0 w
Comparison of the two records in Fig. 7 aids in interpreting these patterns. In the Wistar rats, coherence is high at frequencies faster than 0.1 Hz and declines at slower frequencies. The Fawn-hooded rats, which show a different blood pressure power spectrum, display high coherence at low frequencies and lower coherence at frequencies faster than 0.1 Hz. The low coherence above 0.1 Hz in Fawn-hooded rats results from the lack of blood pressure spectral power at these frequencies and consequent low signal-to-noise ratio. The high coherence shown by these rats at frequencies below 0.1 Hz reflects the close relationship between blood pressure and RBF fluctuations that results from the absence of autoregulation. In contrast, the Wistar rats have higher pressure spectral power above 0.1 Hz and consequently higher signal-to-noise ratio, and thus coherence, at these frequencies. The two reductions of coherence in the Wistar rats coincide with the operating frequencies of the myogenic and TGF mechanisms and are interpreted to reflect increased complexity of RBF dynamics that results from the operation of these mechanisms.2 R! L& G! T8 P1 O

Figure 7, C and D, shows the transfer function, admittance gain and phase, respectively. Admittance is the dynamic equivalent to the steady-state variable conductance. As a dynamic response goes to steady state, admittance goes to conductance. As in steady-state experiments, interpretation is complicated by differences in the level of RBF, so admittance gain is typically normalized to conductance calculated over the duration of the data examined. Conductance is used for this purpose rather than the zero frequency point of the admittance spectrum because the latter is the point in the gain spectrum which typically has the lowest coherence, and of which one is least confident. Gain may be presented on a linear scale or on a log scale in decibels to highlight the operation of both mechanisms. A gain of 1 (0 dB) indicates that a pressure fluctuation is transmitted directly into flow; gain 0 dB means that pressure fluctuations are actually amplified into flow fluctuations; gain " l% k2 ]8 H! p

The phase spectrum shows the temporal relationship between the pressure and flow signals; a zero phase angle means that pressure and flow fluctuations are simultaneous. Consequently, pressure-passive behavior of the circulation results in a phase angle that is slightly positive and close to zero radians, as seen above 0.3 Hz in the Wistar rats and at all frequencies from 1 to 0.01 Hz in Fawn-hooded rats. (Note, however, that the term pressure-passive says nothing about the underlying vascular tone and implies only that the autoregulatory mechanisms are not actively adjusting admittance in response to transient pressure changes.) The Wistar rats show positive phase peaks at frequencies where gain reduction is maximal (0.1-0.2 and 0.03 Hz). This pattern of gain reduction associated with a positive phase peak is diagnostic of an autoregulatory mechanism and arises because operation of the mechanism results in truncation of pressure-induced RBF fluctuations in the frequency band within which it operates. In contrast, the Fawn-hooded rats show gain, phase, and coherence spectra that are consistent with pressure-passive RBF dynamics (i.e., no autoregulation).

The mechanism that generates the autoregulatory signature at 0.1-0.2 Hz has been identified in the hydronephrotic kidney in vitro ( 38 ), indicating that it is confine
      【参考文献】
Abu-Amarah I, Ajikobi DO, Bachelard H, Cupples WA, Salevsky FC. Responses of mesenteric and renal blood flow dynamics to acute denervation in anesthetized rats. Am J Physiol Regul Integr Comp Physiol 275: R1543-R1552, 1998.  c# P# W3 ]2 Z* s
" u! l# o! `! Q) @; S
4 X& l4 R3 H8 D3 v, g* c1 _
+ k) b1 X2 g: o8 b6 L" A
Abu-Amarah I, Bidani AK, Hacioglu R, Williamson GA, Griffin KA. Differential effects of salt on renal hemodynamics and potential pressure transmission in stroke-prone and stroke-resistant spontaneously hypertensive rats. Am J Physiol Renal Physiol 289: F305-F313, 2005." V8 d8 j8 ~" s+ K8 p# S7 P3 ^3 J) Y

; u% T4 L4 C1 E8 v/ l" Z
Ajikobi DO, Novak P, Salevsky FC, Cupples WA. Pharmacological modulation of spontaneous renal blood flow dynamics. Can J Physiol Pharmacol 74: 964-972, 1996." k( ?8 a% W: r9 Y5 h

6 q) @0 j2 @9 }1 J- e$ @  G
# r9 J7 @. n# a7 u2 w$ `' G# \
Anderson S, Rennke HG, Brenner BM. Therapeutic advantage of converting enzyme inhibitors in arresting progressive renal disease associated with systemic hypertension in the rat. J Clin Invest 77: 1993-2000, 1986.5 I( K$ G* s4 j* Q* `6 ^

7 @4 l8 M5 B, |; J/ Z5 j- G

Bachmann S, Mundel P. Nitric oxide in the kidney: synthesis, localization, and function. Am J Kidney Dis 24: 112-129, 1994.! @9 C2 c) x; a* s8 v: `
: K; [8 R2 T' r$ w  c, E
# ]( P. O2 j1 M- x

Barajas L, Mueller J. The innervation of the juxtaglomerular apparatus and surrounding tubules: a quantitative study by serial section electron microscopy. J Ultr Res 43: 107-132, 1973.

: j& J+ x8 Z' Y# k9 Z/ p

Baumann JE, Persson PB, Ehmke H, Nafz B, Kirchheim HR. Role of endothelium-derived relaxing factor in renal autoregulation in conscious dogs. Am J Physiol Renal Fluid Electrolyte Physiol 263: F208-F213, 1992.% u% Z3 I$ n' t! s4 h
- u; q8 \" e5 N. J& Z- a2 @. g4 W0 x
9 s9 o$ A" \$ V! W- g
+ l9 h; C, Z! q8 ~. O( w1 o
Beierwaltes WH, Sigmon DH, Carretero OA. Endothelium modulates renal blood flow but not autoregulation. Am J Physiol Renal Fluid Electrolyte Physiol 262: F943-F949, 1992.  {- [  P. Q' N+ ^) ^- R/ b& y
+ A- o' T& [% ^$ D/ b

3 ?4 L) Y# w3 t. L% y- Z
Bell PD, Reddington M, Ploth DW, Navar LG. Tubuloglomerular feedback-mediated decreases in glomerular pressure in Munich-Wistar rats. Am J Physiol Renal Fluid Electrolyte Physiol 251: F877-F880, 1986." E  \, i/ S! B; y& B% M  j7 E

Bidani AK, Hacioglu R, Abu-Amarah I, Williamson GA, Loutzenhiser R, Griffin KA. "Step" vs "dynamic" autoregulation: implications for susceptibility to hypertensive injury. Am J Physiol Renal Physiol 285: F113-F120, 2003.* v- b3 H* Q+ Y3 j
# L* G7 b& W, t" p

% u& g  T: b: W. M/ z4 \
Bidani AK, Mitchell KD, Schwartz MM, Navar LG, Lewis EJ. Absence of glomerular injury or nephron loss in a normotensive rat remnant kidney model. Kidney Int 38: 28-38, 1990.

Bidani AK, Schwartz MM, Lewis EJ. Renal autoregulation and vulnerability to hypertensive injury in remnant kidney. Am J Physiol Renal Fluid Electrolyte Physiol 252: F1003-F1010, 1987.

  x  q; b! p' x
Blantz RC. Making sense of the sensor: mysteries of the macula densa. Kidney Int 70: 828-830, 2006.
; L  N) q/ l. t6 K9 K+ V# W' v
' c% g/ U+ _, ~  f6 |
& j4 L( {4 S/ |/ x
Blantz RC, Steiner RW, Tucker BJ. The efferent limb of the tubuloglomerular feedback system. Federation Proc 40: 104-108, 1981.9 I, d" d; J, t! ~5 \

, N. _& w) t. J5 J! r! o2 i7 g3 @

Braam B. Renal endothelial and macula densa NOS: integrated response to changes in extracellular fluid volume. Am J Physiol Regul Integr Comp Physiol 276: R1551-R1561, 1999.5 l& R6 V  j& y: Z( [8 l$ g2 D) v! B* u

% {; `: G/ ^9 O! r  K- ?
Braam B, Koomans HA. Reabsorption of nitro- L -arginine infused into the late proximal tubule participates in modulation of TGF responsiveness. Kidney Int 47: 1252-1257, 1995.
( y+ P! }" b3 q* j) g
% |3 }% `$ y! Q

Braam B, Koomans HA. Nitric oxide antagonizes the actions of angiotensin II to enhance tubuloglomerular feedback responsiveness. Kidney Int 48: 1406-1411, 1995.

Braam B, Koomans HA. Dogmas and surprises about the renin-angiotensin system and sodium reabsorption. Nephrol Dial Transplant 21: 3048-3051, 2006.# S, ]8 a* U  a

. b3 b! Y4 p3 f

Braam B, Mitchell KD, Koomans HA, Navar LG. Relevance of the tubuloglomerular feedback mechanism in pathophysiology. J Am Soc Nephrol 4: 1257-1274, 1993., ~6 y/ h; @, X* e$ ~; J) F# |" v3 G

; j" W* Z! v) x; o$ W+ T, h$ x$ F
9 X% v# C3 F* \5 b, y5 _1 Q7 g0 o
Briggs JP. Effect of loop of Henle flow rate on glomerular capillary pressure. Ren Physiol 7: 311-320, 1984.6 G6 C9 ^" y8 K8 X- ]5 s' N
. W( V0 q! w' f1 k& D0 T; L9 i
7 p; D  i0 i2 S$ J6 n
3 R3 `+ ?; ?' c* j: a7 i/ B
Briggs JP, Schnermann J. The tubuloglomerular feedback mechanism: functional and biochemical aspects. Annu Rev Physiol 49: 251-273, 1987.  g* d; K0 g' b

Brown R, Ollerstam A, Persson AE. Neuronal nitric oxide synthase inhibition sensitizes the tubuloglomerular feedback mechanism after volume expansion. Kidney Int 265:1349-1356, 2004.

4 _" q9 z( v& K$ s* N
Carmines PK, Inscho EW, Gensure RC. Arterial pressure effects on preglomerular microvasculature of juxtamedullary nephrons. Am J Physiol Renal Fluid Electrolyte Physiol 258: F94-F102, 1990.- V4 W) d% R/ Y9 K1 h' {0 y0 L
; h% p; i1 d6 G% X2 y
. e; t7 `% B% y* n% P- i, \7 l9 ^' B3 F

Casellas D, Moore LC. Autoregulation of intravascular pressure in preglomerular juxtamedullary vessels. Am J Physiol Renal Fluid Electrolyte Physiol 264: F315-F321, 1993.1 {. J5 e! [. [% `6 ?2 s

$ j0 a' U$ K. t# z* i
/ v* j( v. G+ n5 Q& _- M6 k+ `- p5 @( R
Casellas D, Dupont M, Bouriquet N, Moore LC, Artuso A, Mimran A. Anatomic pairing of afferent arterioles and renin cell distribution in rat kidneys. Am J Physiol Renal Fluid Electrolyte Physiol 267: F931-F936, 1994.

% w, F$ C6 Q& s* b5 g+ u* b2 s9 V
Cavarape A, Endlich N, Assaloni R, Bartoli E, Steinhausen M, Parekh N, Endlich K. Rho-kinase inhibition blunts renal vasoconstriction induced by distinct signaling pathways in vivo. J Am Soc Nephrol 14: 37-45, 2003.' {. O  w2 b# [0 e1 u, I

# v8 @; g' j8 l$ |1 T) X( C% P
. l; n0 N  |2 H$ P3 k4 n
Chen YM, Yip KP, Marsh DJ, Holstein-Rathlou NH. Magnitude of TGF-initiated nephron-nephron interactions is increased in SHR. Am J Physiol Renal Fluid Electrolyte Physiol 269: F198-F204, 1995.
  s% I; W( l2 G/ T" b

Chon KH, Chen YM, Holstein-Rathlou NH, Marsh DJ, Marmarelis VZ. On the efficacy of linear system analysis of renal autoregulation in rats. IEEE Trans Biomed Eng 40: 8-20, 1993.

3 G* w! R8 C+ u* [: C7 _! v
$ {; O( K( p6 x  T# M+ ^" ~4 T
Chon KH, Chen YM, Holstein-Rathlou NH, Marmarelis VZ. Nonlinear system analysis of renal autoregulation in normotensive and hypertensive rats. IEEE Trans Biomed Eng 45: 342-353, 1998.
4 L8 W8 V4 ~4 i* m- t' A# C7 [" [. r
8 t9 O0 {% }$ C$ ]6 f' q. {" ?8 {

Chon KH, Chen YM, Marmarelis VZ, Marsh DJ, Holstein-Rathlou NH. Detection of interactions between the myogenic and TGF mechanisms using nonlinear analysis. Am J Physiol Renal Fluid Electrolyte Physiol 267: F160-F173, 1994.

; A& K: l- n% P
Chon KH, Kanters JK, Cohen RJ, Holstein-Rathlou NH. Detection of chaotic determinism in time series from randomly forced maps. Physica D 99: 471-486, 1997.  T3 J- i- O( h/ v# H6 d% s% e) M

  ]) ~" J2 l# }8 r, |

Chon KH, Raghavan R, Chen YM, Marsh DJ, Yip KP. Interactions of TGF-dependent and myogenic oscillations in tubular pressure. Am J Physiol Renal Physiol 288: F298-F307, 2005.0 F- S. B9 v6 n; F
; w5 q& Y4 J8 S1 m

2 V  z& L1 T! N2 d$ t* r. E) g* s
Chou CL, Marsh DJ. Role of proximal convoluted tubule in pressure diuresis in the rat. Am J Physiol Renal Fluid Electrolyte Physiol 251: F283-F289, 1986.  d: T; i: t# l( w

0 u; K* Q  R* L( J
Chou CL, Marsh DJ. Time course of proximal tubule response to acute arterial hypertension in the rat. Am J Physiol Renal Fluid Electrolyte Physiol 254: F601-F607, 1988.

Corradi A, Arendshorst WJ. Rat renal hemodynamics during venous compression: roles of nerves and prostaglandins. Am J Physiol Renal Fluid Electrolyte Physiol 248: F810-F820, 1985.

3 Y- c) @! v) R3 N6 x7 G
Cupples WA. Angiotensin II conditions the slow component of autoregulation of renal blood flow. Am J Physiol Renal Fluid Electrolyte Physiol 264: F515-F522, 1993.+ l# @0 C3 c, ]" D5 }- B

Cupples WA. Interactions contributing to kidney blood flow autoregulation. Curr Opin Nephrol Hypertens 16: 39-45, 2007.. N1 `$ [. f7 }3 W* K2 R' U

/ k" l; R- B0 V, x' `3 Q1 _

Cupples WA, Loutzenhiser RD. Dynamic autoregulation in the in vitro perfused hydronephrotic rat kidney. Am J Physiol Renal Physiol 275: F126-F130, 1998.
. Z4 }& S8 [) S$ K9 n( X

( j' S( G5 X! o5 \
Cupples WA, Ajikobi DO, Wang X. Kidney-specific responses of myogenic autoregulation to inhibition of nitric oxide synthase. In: Membrane Transport and Renal Physiology. IMA Volumes in Mathematics and its Applications, edited by Layton HE and Weinstein AM. New York: Springer, 2002, vol. 129, p. 293-310.

+ W( a9 |6 X& c$ y0 x3 |2 a
Cupples WA, Novak P, Novak V, Salevsky FC. Spontaneous blood pressure fluctuations and renal blood flow dynamics. Am J Physiol Renal Fluid Electrolyte Physiol 270: F82-F89, 1996.
, m5 I8 r* j2 ?

% ?6 M. `3 l8 o5 h
Cupples WA, Wexler AS, Marsh DJ. Model of TGF-proximal tubule interactions in renal autoregulation. Am J Physiol Renal Fluid Electrolyte Physiol 259: F715-F726, 1990.

& h, ?8 l' r) V& [- i: Z, z

Daniels FH, Arendshorst WJ, Roberds RG. Tubuloglomerular feedback and autoregulation in spontaneously hypertensive rats. Am J Physiol Renal Fluid Electrolyte Physiol 258: F1479-F1489, 1990.
  ^5 A( v  V* t
$ t( i( g, j. u$ ?$ G/ R$ L

Dantzler WH. Significance of comparative studies for renal physiology. Am J Physiol Renal Fluid Electrolyte Physiol 238: F437-F444, 1980.$ p6 o/ t! l' H9 `$ u4 G! g+ g2 r

2 i3 b9 |' T, O" V+ X* a

Davis JM. Role of the efferent arteriole in tubuloglomerular feedback. Kidney Int Suppl 32: S71-S73, 1991.

+ L$ L4 `# |( ^8 n

Deng A, Hammes JS, Thomson SC. Hemodynamics of early tubuloglomerular feedback resetting during reduced proximal reabsorption. Kidney Int 62: 2136-2143, 2002.4 {4 r$ J* Q2 G& ^2 P

de With MC, Haug SJ, van der Heiden EPAB, Segal SS. Ischemia-reperfusion impairs ascending vasodilation in feed arteries of hamster skeletal muscle. Microcirculation 12: 551-561, 2005.

* ]8 J8 n% z; m5 a# h
% |/ P0 V, L0 m* S1 r
Diep HK, Vigmond EJ, Segal SS, Welsh DG. Defining electrical communication in skeletal muscle resistance arteries: a computational approach. J Physiol 568: 267-281, 2005.1 M  c. O# B2 g$ a1 h; x- N

# ]6 h& U5 G' r! V' Z. g: ^1 _
Dora KA, Xia J, Duling BR. Endothelial cell signaling during conducted vasomotor responses. Am J Physiol Heart Circ Physiol 285: H119-H126, 2003.+ T& n0 W" S7 |3 i! n" [! `

Drenckhahn D, Schnittler H, Nobiling R, Kriz W. Ultrastructural organization of contractile proteins in rat glomerular mesangial cells. Am J Pathol 137: 1343-1351, 1990.; ?% F( A- g, V4 ?& a
: f, Y5 ^3 l# X5 b3 g9 l! n7 g
+ a2 O# a  f1 m
+ s+ Q  y* g4 h; q
Dworkin LD, Feiner HD. Glomerular injury in uninephrectomized spontaneously hypertensive rats. A consequence of glomerular capillary hypertension. J Clin Invest 77: 797-809, 1986.

- b8 z6 b1 W  a1 I8 ]" D

Elger M, Drenckhahn D, Nobiling R, Mundel P, Kriz W. Cultured rat mesangial cells contain smooth muscle -actin not found in vivo. Am J Pathol 142: 497-509, 1993.2 g  A1 L* I. J- B9 f
( ^, `! M6 D/ I6 c- @+ i
. \3 V5 H: r" z  K4 B' ~0 s4 I

Feldberg R, Colding-Jorgensen M, Holstein-Rathlou NH. Analysis of interaction between TGF and the myogenic response in renal blood flow autoregulation. Am J Physiol Renal Fluid Electrolyte Physiol 269: F581-F593, 1995.
; m0 x7 Q/ S2 {7 V
9 t6 F, }7 d, z- B5 U( i! r
9 E3 [9 O8 {% E/ Y% N! r4 M
Flemming B, Arenz N, Seeliger E, Wronski T, Steer K, Persson PB. Time-dependent autoregulation of renal blood flow in conscious rats. J Am Soc Nephrol 12: 2253-2262, 2001.
& T$ P% q. b3 {/ ?1 D0 T7 P

" ^; T/ r3 z( _. x6 B% O: r
Floras JS, Hassan MO, Jones JV, Osikowska BA, Sever PS, Sleight P. Factors influencing blood pressure and heart rate variability in hypertensive humans. Hypertension 11: 273-281, 1988.
9 K5 l% y/ o$ w5 H
) K; r7 V! b2 b5 X- @

Folkow B. A critical study of some methods used in investigations on the blood circulation. Acta Physiol Scand 27: 118-129, 1952.

Forster RP, Maes JP. Effect of experimental neurogenic hypertension on renal blood flow and glomerular filtration rates in intact denervated kidneys of unanesthetized rabbits with adrenal glands demedullated. Am J Physiol 150: 534-540, 1950.. e6 F' }5 Q7 h+ R2 |) T
1 k# E! Y! U! p! E
: ^- i6 n8 s4 u5 b% @# }

Glassock RJ, Cohen AH, Adler SG. Primary glomerular diseases. In: Brenner and Rector's The Kidney (5th ed.), edited by Brenner BM. Philadelphia, PA: Saunders, 1997.# j9 }- p+ l+ Y
0 x- v" D6 }# ]; |. W: J2 H
3 S1 t6 m) H7 Y
8 s% b: B1 k! R& J, L; j
Gouedard O, Blanc J, Gaudet E, Ponchon P, Elghozi JL. Contribution of the renin-angiotensin system to short-term blood pressure variability during blockade of nitric oxide synthesis in the rat. Br J Pharmacol 119: 1085-1092, 1996.
2 Q% A2 ~0 b# ~2 y9 G7 T- `
$ _  x$ j  O3 ]  ]  c: g' i; ?
& \  n- q9 n: Z6 |
Griffin KA, Hacioglu R, Abu-Amarah I, Loutzenhiser R, Williamson GA, Bidani AK. Effects of calcium channel blockers on "dynamic" and "steady-state step" renal autoregulation. Am J Physiol Renal Physiol 286: F1136-F1143, 2004.* K0 _: \: P3 i8 O

Griffin KA, Picken M, Bakris GL, Bidani AK. Comparative effects of selective T- and L-type calcium channel blockers in the remnant kidney model. Hypertension 37: 1268-1272, 2001.2 m- Y: j7 g3 {3 E* D- |
8 J; n7 I" o6 j/ K
& e! |, m& F. u1 _) O  A" d

Griffin KA, Picken MM, Bidani AK. Deleterious effects of calcium channel blockade on pressure transmission and glomerular injury in rat remnant kidneys. J Clin Invest 96: 793-800, 1995.
* q- \, p. ^, v8 l8 X
7 t( @2 J/ l! A4 K2 E4 s% u
( D4 c' n8 W8 a; _8 J3 z/ h
Griffin KA, Picken MM, Bidani AK. Blood pressure lability and glomerulosclerosis after normotensive 5/6 renal mass reduction in the rat. Kidney Int 65: 209-218, 2004.

1 X( T/ L2 j- @0 K

Griffin KA, Picken M, Giobbie-Hurder A, Bidani AK. Low protein diet mediated renoprotection in remnant kidneys: renal autoregulatory versus hypertrophic mechanisms. Kidney Int 63: 607-616, 2003.) q5 z, x, @( A
- l0 j: I8 i8 V! A8 w
0 P# }; r% v  e3 F2 B
! I* m9 U( e' i
Gustafsson F, Holstein-Rathlou NH. Angiotensin II modulates conducted vasoconstriction to norepinephrine and local electrical stimulation in rat mesenteric arterioles. Cardiovasc Res 44: 176-184, 1999.3 m- B' C1 e; h+ H# E# N3 T* a
7 o/ Y- l* \5 E( a
4 X4 H  d/ S( ~. _6 X. z- c$ C/ s  k# b
$ {0 c: J6 \8 ~# M* Y
Gustafsson F, Andreasen D, Salomonsson M, Jensen BL, Holstein-Rathlou N. Conducted vasoconstriction in rat mesenteric arterioles: role for dihydropyridine-insensitive Ca 2  channels. Am J Physiol Heart Circ Physiol 280: H582-H590, 2001.) n4 D* k' W' ~0 {/ H, i( y

6 x* B( m4 x% Z) m: b0 j
Hall JE, Guyton AC, Cowley AW Jr. Dissociation of renal blood flow and filtration rate autoregulation by renin depletion. Am J Physiol Renal Fluid Electrolyte Physiol 232: F215-F221, 1977.
. d, P* h, m! f. a

Halayko AJ, Rector E, Stephens NL. Characterization of molecular determinants of smooth muscle cell heterogeneity. Can J Physiol Phamacol 75: 917-929, 1997.$ A/ N8 @  f: s% A& p( w; A: C
& Y+ z- [+ M( D6 v) J
  A; U- [, H3 w

Hansen PB, Schnermann J. Vasoconstrictor and vasodilator effects of adenosine in the kidney. Am J Physiol Renal Physiol 285: F590-F599, 2003.
& ^2 C% F3 E3 O: O

Harder DR. Pressure-dependent membrane depolarization in cat middle cerebral artery. Circ Res 55: 197-202, 1984.9 y+ i0 O- c& d; I4 Q

  I& P* R+ O( H" K  b
, i% y$ N7 R8 A- v, ]) J5 a
Harder DR, Gilbert R, Lombard JH. Vascular muscle cell depolarization and activation in renal arteries on elevation of transmural pressure. Am J Physiol Renal Fluid Electrolyte Physiol 253: F778-F781, 1987.% s+ K! j! s* l$ q; M

, t' e; q4 |$ N) G5 w& `+ ^4 q

Harrison-Bernard LM, Navar LG, Cook AK. Renal cortical and medullary microvascular blood flow autoregulation in rat. Kidney Int 50: S23-S29, 1996.' B- g. Z( U, W, l6 y( P% K5 Q

5 `. ]- P; o! f3 V' n' B$ e5 K
, T% H0 [; I9 r6 `
Harvey JM, Howie AJ, Lee SJ, Newbold KM, Adu D, Michael J, Beevers DG. Renal biopsy findings in hypertensive patients with proteinuria. Lancet 340: 1435-1436, 1992.

* V4 ?1 I" {% Q% U6 _7 u
3 x4 N- |& h' c, A0 y) t
Hayashi K, Epstein M, Loutzenhiser R. Pressure-induced vasoconstriction of renal microvessels in normotensive and hypertensive rats: studies in the isolated perfused hydronephrotic kidney. Circ Res 65: 1475-1484, 1989.

6 [3 t) N  E, y; |& y0 h

Heyeraas KJ, Aukland K. Interlobular arterial resistance: influence of renal arterial pressure and angiotensin II. Kidney Int 31: 1291-1298, 1987.
$ D4 [0 ?6 J3 r$ j4 g" ]
3 q+ `; E# |) F# I7 }5 E
  |- {+ D( ~# S8 ^$ z9 n0 Z8 C6 ~
Holm L, Morsing P, Casellas D, Persson AEG. Resetting of the pressure range for blood flow autoregulation in the rat kidney. Acta Physiol Scand 138: 395-401, 1990.

7 S( ?! V1 Q0 f. C( |
Holstein-Rathlou NH. Synchronization of proximal tubular pressure oscillations: evidence for interaction between nephrons. Pflügers Arch 408: 438-443, 1987.5 [9 A# s  {; Z7 ~* o) }2 S

Holstein-Rathlou NH, Marsh DJ. A dynamic model of the tubuloglomerular feedback mechanism. Am J Physiol Renal Fluid Electrolyte Physiol 258: F1448-F1459, 1990.7 z& O/ A) |2 X5 `
5 q0 V6 [2 ^0 x
' ?  v0 _' t, o* e
7 ~! w4 R" `$ e! q
Holstein-Rathlou NH, Marsh DJ. Renal blood flow and arterial pressure fluctuations: a case study in nonlinear dynamics. Physiol Rev 74: 637-681, 1994.
8 N) h. g, z- t: u
" `* I4 Z$ C; D/ A: [% @) z7 I! `: H
" H6 S* ~- Y2 z# L$ |/ c
Holstein-Rathlou NH, He JC, Wagner AJ, Marsh DJ. Patterns of blood pressure variability in normotensive and hypertensive rats. Am J Physiol Regul Integr Comp Physiol 269: R1230-R1239, 1995.
: r/ E, z1 b6 x6 K

Holstein-Rathlou NH, Wagner AJ, Marsh DJ. Tubuloglomerular feedback dynamics and renal blood flow autoregulation in rats. Am J Physiol Renal Fluid Electrolyte Physiol 260: F53-F68, 1991.

Ichihara A, Navar LG. Neuronal NOS contributes to biphasic autoregulatory response during enhanced TGF activity. Am J Physiol Renal Physiol 277: F113-F120, 1999.8 ?' j/ m% X6 U, Y1 s8 |
0 n0 `0 t" @3 z3 v3 W& j

Ichikawa I. Direct analysis of the effector mechanism of the tubulo-glomerular feedback system. Am J Physiol Renal Fluid Electrolyte Physiol 243: F447-F455, 1982.% r. N" v: h8 R# v" v+ r8 p/ l
: _+ s, b: f" |: E5 d; `

* `* `- z+ @. A4 \$ D
Imig JD, Gebremedhin D, Harder DR, Roman RJ. Modulation of vascular tone in renal microcirculation by erythrocytes: role of EDRF. Am J Physiol Heart Circ Physiol 264: H190-H195, 1993.7 Q9 K* c7 M. @5 w3 N- A7 C

+ c# N4 E+ U( P, M2 z  ^
9 @3 |$ u) `8 @0 M6 R5 {* Z# y- v
Ito S, Ren Y. Evidence for the role of nitric oxide in macula densa control of glomerular hemodynamics. J Clin Invest 92: 1093-1098, 1993.4 X4 V! C8 u$ H1 h2 h
5 \/ i9 ^& y" J& N
) t7 V) D. m. _' I
1 F+ C& t7 z4 p+ J, R; D
Iversen BM, Amann K, Kvam FI, Wang XM, Ofstad J. Increased glomerular capillary pressure and size mediate glomerulosclerosis in SHR juxtamedullary cortex. Am J Physiol Renal Physiol 274: F365-F373, 1998.

Juncos LA, Garvin J, Carretero OA, Ito S. Flow modulates myogenic responses in isolated microperfused rabbit afferent arterioles via endothelium-derived nitric oxide. J Clin Invest 95: 2741-2748, 1995.5 q4 @$ r- l* i0 I) ~
! N+ _- d' a, N4 B
1 J3 V' W9 f4 M* a; t/ Y4 i/ D& y
: O. @* s2 ]1 C8 R8 Q2 e
Just A, Arendshorst WJ. Dynamics and contribution of mechanisms mediating renal blood flow autoregulation. Am J Physiol Regul Integr Comp Physiol 285: R619-R631, 2003.3 u1 e3 D% F7 B# Z+ P6 A( Q

! M1 a) g% f3 l
& {0 R" {0 [8 t3 O1 a' R% t6 v) M* c! }
Just A, Arendshorst WJ. Nitric oxide blunts myogenic autoregulation in rat renal but not skeletal muscle circulation via tubuloglomerular feedback. J Physiol 569: 959-974, 2005.
4 Q0 _2 m8 a6 E/ R, Y

Just A, Ehmke H, Toktomambetova L, Kirchheim HR. Dynamic characteristics and underlying mechanisms of renal blood flow autoregulation in the conscious dog. Am J Physiol Renal Physiol 280: F1062-F1071, 2001.6 Q: E  E: ]9 i2 E0 |
# m* z: l' k1 E7 S

0 F- X8 F8 S& w, F! k
Just A, Ehmke H, Wittmann U, Kirchheim HR. Tonic and phasic influences of nitric oxide on renal blood flow autoregulation in conscious dogs. Am J Physiol Renal Physiol 276: F442-F449, 1999.0 v$ `: b3 z  O' ]
& P: |* a$ S  y* T( k8 ~; \6 a

Just A, Faulhaber J, Ehmke H. Autonomic cardiovascular control in conscious mice. Am J Physiol Regul Integr Comp Physiol 279: R2214-R2221, 2000.; K4 w/ F  j, G5 I

" n% k( i; k0 A' V' L

Just A, Wittmann U, Ehmke H, Kirchheim HR. Autoregulation of renal blood flow in the conscious dog and the contribution of the tubuloglomerular feedback. J Physiol 506: 275-290, 1998.; a- ^* X& i) ~! K$ m

1 }- j" h& \$ J1 X1 a* Q
Kallskog O, Marsh DJ. TGF-initiated vascular interactions between adjacent nephrons in the rat kidney. Am J Physiol Renal Fluid Electrolyte Physiol 259: F60-F64, 1990.
9 A9 {' ^5 z8 _/ O( _
' B3 x5 R6 z1 ^; D2 w
- E$ b7 I( R2 }! u' d; z' y
Karlsen FM, Andersen CB, Leyssac PP, Holstein-Rathlou NH. Dynamic autoregulation and renal injury in Dahl rats. Hypertension 30: 975-983, 1997.
/ y7 ~3 _* s$ [- h6 K! y9 G

# z6 z4 t, O5 ^1 z8 O0 n
Kawada T, Sugimachi M, Sato T, Miyano H, Shishido T, Miyashita H, Yoshimura R, Takaki H, Alexander J Jr, Sunagawa K. Closed-loop identification of carotid sinus baroreflex open-loop transfer characteristics in rabbits. Am J Physiol Heart Circ Physiol 273: H1024-H1031, 1997.

Kim S, Iwao H, Nakamura N, Ikemoto F, Yamamoto K. Fate of circulating renin in conscious rats. Am J Physiol Endocrinol Metab 252: E136-E146, 1987.

: }- C( k; t% Q# x9 Q% w

Kimura K, Nagai R, Sakai T, Aikawa M, Kuro Kobayashi N, Shirato I, Inagami T, Oshi M, Suzuki N, Oba S, Mise N, Tojo A, Hirata Y, Goto A, Yazaki Y, Omata M. Diversity and variability of smooth muscle phenotypes of renal arterioles as revealed by myosin isoform expression. Kidney Int 48: 372-382, 1995.

6 q8 b2 V% c4 Y3 B8 p4 [- g

Kirchheim HR, Ehmke H, Hackenthal E, Loewe W, Persson P. Autoregulation of renal blood flow, glomerular filtration rate and renin release in conscious dogs. Pflügers Arch 410: 441-449, 1987.
' T8 y9 F. t% C/ @0 X' t8 i: K
' A1 m# N! X6 n4 l; G9 C6 V! j6 H
; X, b( u7 s: y3 M
Kirton CA, Loutzenhiser R. Alterations in basal protein kinase C activity modulate renal afferent arteriolar myogenic reactivity. Am J Physiol Heart Circ Physiol 275: H467-H475, 1998.
2 R2 m6 A7 ~( Z# c2 H! O" R3 ]  q
4 J) ?4 U1 H' m6 O0 @
( i" r' V6 P* u( @7 P# O# Z0 X
Kobrin I, Pegram BL, Frohlich ED. Acute pressure increase and intrarenal hemodynamics in conscious WKY and SHR rats. Am J Physiol Heart Circ Physiol 249: H1114-H1118, 1985.

- S* O) j: E0 R9 ?/ x5 X4 t
2 x1 s5 c. j# l$ @6 n1 U+ U$ ^
Komlosi P, Fintha A, Bell PD. Unraveling the relationship between macula densa cell volume and luminal solute concentration/osmolality. Kidney Int 70: 865-871, 2006.
5 b' V! V. I7 m$ c5 f

& N+ B; U9 U3 x4 ~$ F: Q
Kramp RA, Fourmanoir P, Ladriere L, Joly E, Gerbaux C, El Hajjam A, Caron N. Effects of Ca 2  channel activity on renal hemodynamics during acute attenuation of NO synthesis in the rat. Am J Physiol Renal Physiol 278: F561-F569, 2000.

, D9 p5 W. F/ z& z
Kramp R, Fourmanoir P, Caron N. Endothelin resets renal blood flow autoregulatory efficiency during acute blockade of NO in the rat. Am J Physiol Renal Physiol 281: F1132-F1140, 2001.) N' \% M0 s3 J$ D; R1 }% `

5 b" f8 _0 Z/ d; {5 K
Kriz W, Bachmann S. Pre- and postglomerular arterioles of the kidney. J Cardiovasc Pharmacol 7: S24-S30, 1985.0 g0 L5 D9 ]& a8 Q$ w. [

$ h7 p. C1 f8 D( }: S

Kriz W, Hosser H, Haehnel B, Simons JL, Provoost AP. Development of vascular pole-associated glomerulosclerosis in the fawn-hooded rat. J Am Soc Nephrol 9: 381-396, 1998.- W  ]- i! C' E( B8 ^6 U

Kurjiaka DT, Bender SB, Nye DD, Wiehler WB, Welsh DG. Hypertension attenuates cell-to-cell communication in hamster retractor muscle feed arteries. Am J Physiol Heart Circ Physiol 288: H861-H870, 2005.* e$ X# ]' }" `' P

2 j5 Q" Y  Q; m. M7 w# L
: l# j6 }. i* k( E5 N" X3 L
Lacy ER, Reale E. The presence of a juxtaglomerular apparatus in elasmobranch fish. Anat Embryol 182: 249-262, 1990./ z" I0 o. E  C) t9 i0 Q1 W6 s

! C7 V$ L2 {4 c0 \- h% H; s

Lautt WW. Resistance or conductance for expression of arterial vascular tone. Microvasc Res 37: 230-236, 1989.
' r( N  \4 j# T( R0 I

Lautt WW, Plaa GL. Hemodynamic effects of CCl4 in the intact liver of the cat. Can J Physiol Pharmacol 52: 727-735, 1974.% G4 |" [; L* a* T$ ^( z7 V% Q
2 K' m1 [5 m* K; H7 t

Layton AT, Moore LC, Layton HE. Multistability in tubuloglomerular feedback and spectral complexity in spontaneously hypertensive rats. Am J Physiol Renal Physiol 291: F79-F97, 2006.
: L1 Z; ~% V$ ~% a. O
% c1 Q! ~" T( [' q* F; e6 N

Layton HE, Pitman EB, Moore LC. Spectral properties of the tubuloglomerular feedback system. Am J Physiol Renal Physiol 273: F635-F649, 1997.
- {7 I0 s% s# S  M
6 I' z5 B5 O# ~7 A% _
5 d2 z$ K; v# r. m9 f8 }
Layton HE, Pitman EB, Moore LC. Nonlinear filter properties of the thick ascending limb. Am J Physiol Renal Physiol 273: F625-F634, 1997.
  e$ F& a2 \- S. [2 _+ R$ O! L

Layton HE, Pitman EB, Moore LC. Limit-cycle oscillations and tubuloglomerular feedback regulation of distal sodium delivery. Am J Physiol Renal Physiol 278: F287-F301, 2000.

' j; S3 e. e- E
9 J+ |- c$ u( p- v; }4 s
Lemmer B, Mattes A, Bohm M, Ganten D. Circadian blood pressure variation in transgenic hypertensive rats. Hypertension 22: 97-101, 1993.
% o6 ~8 _/ U; l" s" [( c* F
& P# t% w: }" ^

Leong PKK, Yang LE, Holstein-Rathlou NH, McDonough AA. Angiotensin II clamp prevents the second step in renal apical NHE3 internalization during acute hypertension. Am J Physiol Renal Physiol 283: F1142-F1150, 2002.! a5 U9 U/ L+ {2 G0 p0 f1 b, w: z

. e9 @. R* q' {. p

Lessard A, Salevsky FC, Bachelard H, Cupples WA. Incommensurate frequencies of major vascular regulatory mechanisms. Can J Physiol Pharmacol 77: 293-299, 1999.  [& T/ l2 o2 C2 a& K4 E- h, t

) j' t7 I- B1 h$ U4 h* ]" W

Letienne R, Barrès C, Cerutti C, Julien C. Short-term haemodynamic variability in the conscious areflexic rat. J Physiol 506: 263-274, 1998.7 d$ v# f4 x( E* f5 P

Leyssac PP. Changes in single nephron renin release are mediated by tubular fluid flow rate. Kidney Int 30: 332-339, 1986.) l% e1 L) Y+ b* l- c! a7 {( z# i5 j
# F+ N& E1 |6 R

* ^1 s' N* ?" J; [; G5 x
Liu FY, Cogan MG. Angiotensin II stimulates early proximal bicarbonate reabsorption by decreasing cyclic adenosine monophosphate. J Clin Invest 84: 83-91, 1989.) n3 o8 ~9 d0 {4 @# i- ^  Q8 Z

1 L' C+ D) A: R8 Y
$ Z; ~; G! a$ A; H9 ~
López B, Ryan RP, Moreno C, Sarkis A, Lazar J, Provoost AP, Jacob HJ, Roman RJ. Identification of a QTL on chromosome 1 for impaired autoregulation of RBF in fawn-hooded hypertensive rats. Am J Physiol Renal Physiol 290: F1213-F1221, 2006.9 A, [0 \: H$ e; H' B

3 U2 \7 q/ u5 `' z/ W: ~4 f- U5 `
( v3 _# B! e+ T$ w
Loutzenhiser R, Bidani A, Chilton L. Renal myogenic response: kinetic attributes and physiological role. Circ Res 90: 1316-1324, 2002.

Loutzenhiser R, Chilton L, Trottier G. Membrane potential measurements in renal afferent and efferent arterioles: actions of angiotensin II. Am J Physiol Renal Physiol 273: F307-F314, 1997.

) t2 y9 h" X& n6 N  v7 n

Loutzenhiser R, Griffin K, Williamson G, Bidani A. Renal autoregulation: mew perspectives regarding the protective and regulatory roles of the underlying mechanisms. Am J Physiol Regul Integr Comp Physiol 290: R1153-R1167, 2006.
5 U( D& B" a3 C8 D
9 o) N: w5 @3 H/ s% T4 J4 o
9 ^2 D2 a3 k  X- I- n0 C
Majid DSA, Navar LG. Suppression of blood flow autoregulation plateau during nitric oxide blockade in canine kidney. Am J Physiol Renal Fluid Electrolyte Physiol 262: F40-F46, 1992.

Malpas SC, Evans RG, Head GA, Lukoshkova EV. Contribution of renal nerves to renal blood flow variability during hemorrhage. Am J Physiol Regul Integr Comp Physiol 274: R1283-R1294, 1998.3 H# _/ \, |0 r+ D- p

5 q# p+ S; P: t. ]9 \8 S
Mancia G, Ferrari A, Gregorini L, Parati G, Pomidossi G, Bertinieri G, Grassi G, Di Rienzo M, Pedotti A, Zanchetti A. Blood pressure and heart rate variabilities in normotensive and hypertensive human beings. Circ Res 53: 96-104, 1983.2 G# z, t# D1 c1 E8 s( s
! o; B5 V! V& m7 j7 ?

8 K8 |" C( @4 Q( r
Marsh DJ, Osborn JL, Cowley AW Jr. 1/f Fluctuations in arterial pressure and regulation of renal blood flow in dogs. Am J Physiol Renal Fluid Electrolyte Physiol 258: F1394-F1400, 1990.

McNay JL, Kishimoto T. Association between autoregulation and pressure dependency of renal vascular responsiveness in dogs. Circ Res 24: 599-605, 1969.
+ N& x6 @2 Q" x( k

Mene P, Simonson MS, Dunn MJ. Physiology of the mesangial cell. Physiol Rev 69: 1347-1424, 1989.8 J. I5 C0 k! W' ?

Mitchell KD, Navar LG. Enhanced tubuloglomerular feedback during peritubular infusions of angiotensins I and II. Am J Physiol Renal Fluid Electrolyte Physiol 255: F383-F390, 1988.

Moore LC, Casellas D. Tubuloglomerular feedback dependence of autoregulation in rat juxtamedullary afferent arterioles. Kidney Int 37: 1402-1408, 1990./ U& f4 `& Y( f# C) c, c* B5 F
8 h, _  p& W! F2 N" b9 g

Moore LC, Rich A, Casellas D. Ascending myogenic autoregulation: interactions between tubuloglomerular feedback and myogenic mechanisms. Bull Math Biol 56: 391-410, 1994.

% e$ M% x; k: {& p; s7 p
Murphy JT, Kwan HC, MacKay WA, Wong YC. Physiological basis of cerebellar dysmetria. Can J Neurol Sci 2: 279-284, 1975.

Naguib RE, Contant C, Cupples WA. Atrial natriuretic factor, angiotensin II, and the slow component of renal autoregulation. Can J Physiol Pharmacol 72: 1132-1137, 1994.* `( X3 x& ~# L1 b, d

# d' u7 U$ y7 U7 K) s. E3 z
1 x/ r" K. f  }8 s+ i: D4 P9 G
Nafz B, Ehmke H, Wagner CD, Kirchheim HR, Persson PB. Blood pressure variability and urine flow in the conscious dog. Am J Physiol Renal Physiol 274: F680-F686, 1998.3 ?& P% r! u! @0 a4 P

( r. i) Y; R% Y! a
Nahmod VE, Lanari A. Abolition of autoregulation of renal blood flow by acetylcholine. Am J Physiol 207: 123-127, 1964.

* `! ?* K- A& v& p! D; m1 c+ p7 a
Nakamura A, Hayashi K, Ozawa Y, Fujiwara K, Okubo K, Kanda T, Wakino S, Saruta T. Vessel- and vasoconstrictor-dependent role of Rho/Rho-kinase in renal microvascular tone. J Vasc Res 40: 244-251, 2003.
0 S! _6 h4 k1 T% M) l. L- u- x/ K
' g, B5 Q/ ~5 \) M  Q$ r9 e& f5 F

Navar LG. Renal autoregulation: perspectives from whole kidney and single nephron studies. Am J Physiol Renal Fluid Electrolyte Physiol 234: F357-F370, 1978.! z$ X* O/ {6 }3 I1 n
/ Z, B. i5 h1 _: ~0 \3 Y0 n8 j

Navar LG. Integrating multiple paracrine regulators of renal microvascular dynamics. Am J Physiol Renal Physiol 274: F433-F444, 1998.4 i2 R& Q" |6 `. P$ B8 J
0 J6 N# C) M" L- e
- H2 a; J/ J. @/ B* @3 N
! A$ F7 ^8 r- \1 F. A; i% }) `
Navar LG, Mitchell KD. Contribution of the tubuloglomerular feedback mechanism to sodium homeostasis and interaction with the renin-angiotensin system. Acta Physiol Scand Suppl 591: 66-73, 1990.

4 S# V$ A5 n# L- R5 j0 @1 c
! J4 F: `& K& M2 D( k
Nishiyama A, Jackson KE, Majid DSA, Rahman M, Navar LG. Renal interstitial fluid ATP responses to arterial pressure and tubuloglomerular feedback activation during calcium channel blockade. Am J Physiol Heart Circ Physiol 290: H772-H777, 2006./ {+ U, n# R. M+ P
7 ~& X! }  b0 |

; m& v  w5 m) M5 j
Novak V, Novak P, de Champlain J, LeBlanc AR, Martin R, Nadeau R. Influence of respiration on heart rate and blood pressure fluctuations. J Appl Physiol 74: 617-626, 1993.

$ E# {# v, A2 P/ H: Q# `- Y

Ogawa N, Yokota S, Ono H. Different interaction of bepridil and diltiazem with BAY K 8644 in the abolition of autoregulation of renal blood flow. J Cardiovasc Pharmacol 11: 147-150, 1988., g7 L/ N* R4 y5 H# d" b% J/ A* S
& m0 k( M% T% q4 \& H& j/ `

% t- @5 [% ]6 B
Oguztoreli MN, Stein RB. The effects of multiple reflex pathways on the oscillations in neuro-muscular systems. J Math Biol 3: 87-101, 1976." @1 E7 e4 }0 R) m4 H6 ~- L$ O
" j. w5 A4 P$ K# i/ A

Oldson DR, Moore LC, Layton HE. Effect of sustained flow perturbations on stability and compensation of tubuloglomerular feedback. Am J Physiol Renal Physiol 285: F972-F989, 2003.! w) Q+ ?4 M8 Q- i
0 y6 t- ]9 z6 W5 g7 Z

O'Leary DD, Lin DC, Hughson RL. Determination of baroreflex gain using autoregressive moving-average analysis during spontaneous breathing. Clin Physiol 19: 369-377, 1999.
# r  `6 S1 P9 Y! l- O% \/ `

- g1 p' H0 B2 e, k! X- U4 Y# \
O'Leary DS. Regional vascular resistance vs. conductance: which index for baroreflex responses? Am J Physiol Heart Circ Physiol 260: H632-H637, 1991.

0 }- S1 |+ T" B' @# I' b
3 q. O4 i; z* U9 o- D! D( i$ U8 e
Ollerstam A, Pittner J, Persson AEG, Thorup C. Increased blood pressure in rats after long-term inhibition of the neuronal isoform of nitric oxide synthase. J Clin Invest 99: 2212-2218, 1997.  m7 z( V& a$ R: G  D; l/ i5 F
8 [8 S0 r; z" J" \  v

; U  x  x$ d" B- T
O'Rourke M. Mechanical principles in arterial disease. Hypertension 26: 2-9, 1995.7 N( R' f5 E# u) D  x/ x. s

! ^7 w' p& x+ ]0 f

Persson BE, Marsh DJ. GFR regulation and flow-dependent electrophysiology of early distal tubule in Amphiuma. Am J Physiol Renal Fluid Electrolyte Physiol 253: F263-F268, 1987.. W" f  T! ]; A+ g! X

+ U! h0 p$ ~3 \' z3 Y5 }, x

Persson PB, Ehmke H, Nafz B, Kirchheim HR. Sympathetic modulation of renal autoregulation by carotid occlusion in conscious dogs. Am J Physiol Renal Fluid Electrolyte Physiol 258: F364-F370, 1990.# z" v) d' ?. B# ?

/ F6 o7 p1 [. ^; N. J7 l; b
; m4 O3 K1 i( Z5 K
Pires SLS, Barrès C, Sassard J, Julien C. Renal blood flow dynamics and arterial pressure lability in the conscious rat. Hypertension 38: 147-152, 2001.

) }( ~' O9 M2 s$ z# a8 \/ R* T

Pires SLS, Julien C, Chapuis B, Sassard J, Barrès C. Spontaneous renal blood flow autoregulation curves in conscious sinoaortic baroreceptor-denervated rats. Am J Physiol Renal Physiol 282: F51-F58, 2002.  [. G" |0 T1 ^* ]( D
% |2 {0 [$ \' B" j2 w6 p0 L

Pitman EB, Zaritski RM, Kesseler KJ, Moore LC, Layton HE. Feedback-mediated dynamics in two coupled nephrons. Bull Math Biol 66: 1463-1492, 2004.* L: q3 U$ l7 ]+ p/ I& M

; T% ^4 ^  }$ z! {- K6 `

Ploth DW, Roy RN. Renal and tubuloglomerular feedback effects of [Sar 1,Ala 8 ]angiotensin II in the rat. Am J Physiol Renal Fluid Electrolyte Physiol 242: F149-F157, 1982.
5 h& W$ w5 n7 }$ ]

8 @  {! @* Y. l- J9 J& @$ j
Ploth DW, Rudulph J, LaGrange R, Navar LG. Tubuloglomerular feedback and single nephron function after converting enzyme inhibition in the rat. J Clin Invest 64: 1325-1335, 1979.
9 N4 S  t4 h* H1 X1 ~- I

1 u: Y! I( {2 Q' b* n3 f
Raghavan R, Chen X, Yip KP, Marsh DJ, Chon KH. Interactions between TGF-dependent and myogenic oscillations in tubular pressure and whole kidney blood flow in both SDR and SHR. Am J Physiol Renal Physiol 290: F720-F732, 2006.
! s$ b0 b: r  D, ]
4 Q8 ~6 b7 o9 w* `9 L

Ren Y, Garvin JL, Carretero OA. Efferent arteriole tubuloglomerular feedback in the renal nephron. Kidney Int 59: 222-229, 2001.
" X  Y, i5 {+ u6 p: D. \* c( n

Roman RJ, Cowley AW Jr. Characterization of a new model for the study of pressure-natriuresis in the rat. Am J Physiol Renal Fluid Electrolyte Physiol 248: F190-F198, 1985.

  M( }" ^# y* `0 E' R( ]; ^
% B$ ~/ }+ O4 C/ Q) l4 U
Rosivall L, Narkates AJ, Oparil S, Navar LG. De novo intrarenal formation of angiotensin II during control and enhanced renin secretion. Am J Physiol Renal Fluid Electrolyte Physiol 252: F1118-F1123, 1987.
% U) {, ]) q2 K& A# r
+ |6 j. l1 x% }. z1 b( O

Rosivall L, Youngblood P, Navar LG. Renal autoregulatory efficiency during angiotensin-converting enzyme inhibition in dogs on a low sodium diet. Ren Physiol 9: 18-28, 1986.; [0 b3 C7 u4 F7 f% ?6 Q

& ?" t1 @. [; J) j

Sakai T, Craig DA, Wexler AS, Marsh DJ. Fluid waves in renal tubules. Biophys J 50: 805-813, 1986.

# K# ~1 @! r) t" l3 v9 Q- L
( \/ j4 r: H* i) J7 j" J
Sakai T, Hallman E, Marsh DJ. Frequency domain analysis of renal autoregulation in the rat. Am J Physiol Renal Fluid Electrolyte Physiol 250: F364-F373, 1986., y( `% V! t, O
9 i  l" Q. N8 ?: L

* H+ E7 S- m& E; ^. _" d1 G' o' ~
Salomonsson M, Gustafsson F, Andreasen D, Jensen BL, Holstein-Rathlou NH. Local electric stimulation causes conducted calcium response in rat interlobular arteries. Am J Physiol Renal Physiol 283: F473-F480, 2002.
2 e, e9 w/ n# ?
% u6 S6 ]* a% \, }/ e

Sanchez-Ferrer CF, Roman RJ, Harder DR. Pressure-dependent contraction of rat juxtamedullary afferent arterioles. Circ Res 64: 790-798, 1989.

3 d, r6 l4 P) @) x0 A

Scheuer DA, Bishop VS. Effect of vasopressin on baroreflex control of lumbar sympathetic nerve activity and hindquarter resistance. Am J Physiol Heart Circ Physiol 270: H1963-H1971, 1996.. Y& ]1 v+ {3 }% Z/ @
( a7 N. W* |. i: ]( ?/ c' f
6 n7 R. _& H2 j8 |, m% h+ N( o
) \% s5 d: k" i- K' K: o6 ]& H
Schnermann J, Briggs JP. Interaction between loop of Henle flow and arterial pressure as determinants of glomerular pressure. Am J Physiol Renal Fluid Electrolyte Physiol 256: F421-F429, 1989.
  K: `6 \' E2 P4 }8 N0 m
8 ~" R6 j- z5 H5 H9 \" X+ c

Schnermann J, Traynor T, Yang T, Arend L, Huang YG, Smart A, Briggs JP. Tubuloglomerular feedback: new concepts and developments. Kidney Int Suppl 67: S40-S45, 1998.3 d# v/ n" p/ ~2 ]2 g

/ S. i* x$ ]* a4 M6 F

Schondorf R, Stein R, Roberts R, Benoit J, Cupples W. Dynamic cerebral autoregulation is preserved in neurally mediated syncope. J Appl Physiol 91: 2493-2502, 2001.
' i6 `: B4 `( S( L9 O2 g! x+ b; Z' b( K

Selen G, Persson AEG. Effects of reduced renal artery pressure on feedback control of glomerular filtration. Am J Physiol Renal Fluid Electrolyte Physiol 244: F342-F348, 1983.

6 y' q6 ^2 T2 V  A. i- J
Selkurt EE. The relation of renal blood flow to effective arterial pressure in the intact kidney of the dog. Am J Physiol 147: 537-549, 1946.

1 o  q+ ?) p- i5 `. G4 s
! v$ |6 W) w$ N- I) u+ H4 p4 \, ]: I
Shi Y, Wang X, Chon KH, Cupples WA. Tubuloglomerular feedback-dependent modulation of renal myogenic autoregulation by nitric oxide. Am J Physiol Regul Integr Comp Physiol 290: R982-R991, 2006.: P- S$ m' O( [/ Z4 _- X( Y

* ]3 q0 f# l" F8 L0 g) l  w
Shi Y, Lau C, Cupples WA. Interactive modulation of renal autoregulation by endothelin and nitric oxide acting through ET-B receptors. Am J Physiol Regul Integr Comp Physiol 292: R354-R361, 2007.

  ]9 t  V1 L3 m% y6 I
Shipley RE, Study RS. Changes in renal blood flow, extraction of inulin, glomerular filtration rate, tissue pressure and urine flow with acute alterations of renal artery blood pressure. Am J Physiol 167: 676-688, 1951./ F' {* g1 i2 a, }: ?
; p- [" a, v) Z: K8 v5 I: I3 R

( G$ v: o3 p( `9 `1 G* X& |
Skøtt O, Briggs JP. Direct demonstration of macula densa-mediated renin secretion. Science 237: 1618-1620, 1987." k+ Q6 L5 z' `, ^% b5 f
( w  _* H6 j% j: ?

Smeda JS, Daniel EE. Elevations in arterial pressure induce the formation of spontaneous action potentials and alter neurotransmission in canine ileum arteries. Circ Res 62: 1104-1110, 1988.  G- s* F* j) H
" U' \5 }1 K5 S  B# [1 b& Y) u
5 n5 a0 `3 B$ P3 z, ~- g, W
5 q4 V' E2 ], J8 o7 }
Somlyo AP, Somlyo AV. Flash photolysis studies of excitation-contraction coupling, regulation, and contraction in smooth muscle. Annu Rev Physiol 52: 857-874, 1990.

% X9 d: \% A5 q/ P5 _
$ G0 s# E0 m4 p1 X* v3 E( t* C0 k( `
Somlyo AP, Somlyo AV. Signal transduction and regulation in smooth muscle. Nature 372: 231-236, 1994.

/ I7 T- n$ |$ e* N6 w' q- a& U

Somlyo AP, Somlyo AV. Ca 2  sensitivity of smooth muscle and nonmuscle myosin II: modulated by G proteins, kinases, and myosin phosphatase. Physiol Rev 83: 1325-1358, 2003.4 q# A, q9 F6 W0 [: p; u5 X# u
4 Y* ~9 u, f) U6 J

Sorensen CM, Leyssac PP, Skøtt O, Holstein-Rathlou NH. Role of the renin-angiotensin system in regulation and autoregulation of renal blood flow. Am J Physiol Regul Integr Comp Physiol 279: R1017-R1024, 2000.
2 U" Q1 [8 ~. G# F5 n

Steinhausen M, Blum M, Fleming JT, Holz FG, Parekh N, Wiegman DL. Visualization of renal autoregulation in the split hydronephrotic kidney of rats. Kidney Int 35: 1151-1160, 1989.- D/ Y9 R: m2 [

" L" N" ?( S8 M& E8 H" A+ K
Suwa N, Niwa T, Fukasawa H, Sasaki Y. Estimation of intravascular blood pressure gradient by mathematical analysis of arterial casts. Tohoku J Exp Med 79: 168-198, 1963.- `) D% X: j7 e; v: c0 L2 u% g

Takenaka T, Forster H, Demicheli A, Epstein M. Impaired myogenic responsiveness of renal microvessels in Dahl salt-sensitive rats. Circ Res 71: 471-480, 1992.
3 A& N; n6 f. ]/ A
$ A* |8 m  ]; Q- a) M0 ]

Takenaka T, Harrison-Bernard LM, Inscho EW, Carmines PK, Navar LG. Autoregulation of afferent arteriolar blood flow in juxtamedullary nephrons. Am J Physiol Renal Fluid Electrolyte Physiol 267: F879-F887, 1994.

6 n8 v5 i6 n0 J1 }5 ]% x7 ~" U
8 E$ H2 Y+ D1 M! ?3 C
Taugner R, Kirchheim H, Forssmann WG. Myoendothelial contacts in glomerular arterioles and in renal interlobular arteries of rat, mouse and Tupaia belangeri. Cell Tiss Res 235: 319-325, 1984.
* o" T. a0 _" T0 h& c! L5 w# u

Thomson SC, Blantz RC. Homeostatic efficiency of tubuloglomerular feedback in hydropenia, euvolemia, and acute volume expansion. Am J Physiol Renal Fluid Electrolyte Physiol 264: F930-F936, 1993.
# `; w) N' _" y

Thomson SC, Bachmann S, Bostanjoglo M, Ecelbarger CA, Peterson OW, Schwartz D, Bao D, Blantz RC. Temporal adjustment of the juxtaglomerular apparatus during sustained inhibition of proximal reabsorption. J Clin Invest 104: 1149-1158, 1999.
, g/ T/ M  V/ n( ~2 D

1 K5 K: v; A3 E* X2 f4 s" t
Thomson SC, Deng A, Wead L, Richter K, Blantz RC, Vallon V. An unexpected role for angiotensin II in the link between dietary salt and proximal reabsorption. J Clin Invest 116: 1110-1116, 2006.; r% u) m0 j' d( A
0 W9 d9 T* w: _
3 G; }! S- @3 y/ k

Thomson SC, Blantz RC, Vallon V. Increased tubular flow induces resetting of tubuloglomerular feedback in euvolemic rats. Am J Physiol Renal Fluid Electrolyte Physiol 270: F461-F468, 1996." q* z% M) z+ B# I* x

Thomson SC, Vallon V, Blantz RC. Asymmetry of tubuloglomerular feedback effector mechanism with respect to ambient tubular flow. Am J Physiol Renal Fluid Electrolyte Physiol 271: F1123-F1130, 1996.4 W0 V+ J- l' z; @' C: E
* y0 c  X/ P" b$ z

: r& [, d! U  H5 \4 x; M
Thomson SC, Vallon V, Blantz RC. Reduced proximal reabsorption resets tubuloglomerular feedback in euvolemic rats. Am J Physiol Regul Integr Comp Physiol 273: R1414-R1420, 1997.% v/ d- v0 x% w3 d. N- ?$ T
* v/ y+ H# O# i
1 Q- a+ h4 O% d

Thorup C, Sundler F, Ekblad E, Persson AEG. Resetting of the tubuloglomerular feedback mechanism by blockade of NO-synthase. Acta Physiol Scand 148: 359-360, 1993.

+ [* z: O5 f' w! j4 q" s/ h

Thorup C, Persson AEG. Inhibition of locally produced nitric oxide resets tubuloglomerular feedback mechanism. Am J Physiol Renal Fluid Electrolyte Physiol 267: F606-F611, 1994.
  i5 Y9 q' i: m; u
  v3 H' g* s8 e- C: b- d( {

Thorup C, Persson AEG. Macula densa derived nitric oxide in regulation of glomerular capillary pressure. Kidney Int 49: 430-436, 1996.

- f$ j. g3 D( `& O' K

Turkstra E, Braam B, Koomans HA. Nitric oxide release as an essential mitigating step in tubuloglomerular feedback: observations during intrarenal nitric oxide clamp. J Am Soc Nephrol 9: 1596-1603, 1998.
7 K* e! J5 T; q6 |; y
5 b# Y/ j" [$ ~9 ]: y  {- J; o4 l8 j
0 `! R- ^0 d+ a! @$ I. x, ?
Turkstra E, Braam B, Koomans HA. Impaired renal blood flow autoregulation in two-kidney, one-clip hypertensive rats is caused by enhanced activity of nitric oxide. J Am Soc Nephrol 11: 847-855, 2000.1 A& W/ H  S# r7 I
  r* e- {: \, {7 \5 y9 e4 }
( [8 s/ B$ X7 M$ H  f
: T3 V7 ~/ O3 r7 j/ J; Y5 Q7 J
Turkstra E, Braam B, Koomans HA. Normal TGF responsiveness during chronic treatment with angiotensin-converting enzyme inhibition: role of AT 1 receptors. Hypertension 36: 818-823, 2000." ^+ q0 p) l: d7 ^5 K' t' O
: }& b* f) y$ ?: Q

Vallon V. Tubuloglomerular feedback and the control of glomerular filtration rate. News Physiol Sci 18: 169-174, 2003.) ~; {' w8 h  g" m/ f( x

4 o: N  G) T0 x6 b

Van Dijk SJ, Specht PA, Lazar J, Jacob HJ, Provoost AP. Renal damage susceptibility and autoregulation in RF-1 and RF-5 congenic rats. Nephron Exp Nephrol 101: e59-e66, 2005.: R, q3 |- j5 [- \( T6 G

Van Dijk SJ, Specht PA, Lutz MM, Lazar J, Jacob HJ, Provoost AP. Interaction between Rf-1 and Rf-4 quantitative trait loci increases susceptibility to renal damage in double congenic rats. Kidney Int 68: 2462-2472, 2005.

6 S* M) U/ i. O9 L: w2 m
/ R- S1 f' r; G5 N: X# H
Van Dijk SJ, Specht PA, Lazar J, Jacob HJ, Provoost AP. Absence of an interaction between the Rf-1 and Rf-5 QTLs influencing susceptibility to renal damage in rats. Nephron Exp Nephrol 104: e96-e102, 2006.% C5 z' g- T4 o1 @. I) n. b$ j
5 Z' T1 `! V6 S" i3 a/ @
. P: _5 J& a' u' J& x# D

Van Dijk SJ, Specht PAC, Lazar J, Jacob HJ, Provoost AP. Synergistic QTL interactions between Rf-1 and Rf-3 increase renal damage susceptibility in double congenic rats. Kidney Int 69: 1369-1376, 2006./ e: a) Y/ T0 c+ |- e9 ]
, b7 @! A) [4 @. q7 m1 k/ s

" {7 a% \' I  T) r
van Dokkum RPE, Alonso-Galicia M, Provoost AP, Jacob HJ, Roman RJ. Impaired autoregulation of renal blood flow in the fawn-hooded rat. Am J Physiol Regul Integr Comp Physiol 276: R189-R196, 1999.+ E5 x3 T$ v  E# t9 b
- u( D  e  t( T3 v
# c; h) c( ]1 t5 ~& b& T

van Dokkum RPE, Sun CW, Provoost AP, Jacob HJ, Roman RJ. Altered renal hemodynamics and impaired myogenic responses in the fawn-hooded rat. Am J Physiol Regul Integr Comp Physiol 276: R855-R863, 1999.! X: y* u8 D# s9 b5 A

( E: d6 P1 |& V8 B# S
van Vliet BN, Hu L, Scott T, Chafe L, Montani JP. Cardiac hypertrophy and telemetered blood pressure 6 wk after baroreceptor denervation in normotensive rats. Am J Physiol Regul Integr Comp Physiol 271: R1759-R1769, 1996.

7 |  v% v  ?) ^" g: C
5 Y& s) J( R8 x% b" q
Verseput GH, Braam B, Provoost AP, Koomans HA. Tubuloglomerular feedback and prolonged ACE-inhibitor treatment in the hypertensive fawn-hooded rat. Nephrol Dial Transplant 13: 893-899, 1998.
% \3 \) S! u# ]0 h

0 s. m& S: |- ~
Wagner AJ, Holstein-Rathlou NH, Marsh DJ. Internephron coupling by conducted vasomotor responses in normotensive and spontaneously hypertensive rats. Am J Physiol Renal Physiol 272: F372-F379, 1997.

, j4 h0 q- B3 Q+ u% Y1 j: R/ g

Walker M III, Harrison-Bernard LM, Cook AK, Navar LG. Dynamic interaction between myogenic and TGF mechanisms in afferent arteriolar blood flow autoregulation. Am J Physiol Renal Physiol 279: F858-F865, 2000.) k' f3 N8 N& h( Z6 k

Wang H, Siu K, Ju K, Moore LC, Chon KH. Identification of transient renal autoregulatory mechanisms using time-frequency spectral techniques. IEEE Trans Biomed Eng 52: 1033-1039, 2005.
# n  z. y; H( `. j7 A0 V3 Y% f1 U
- d* L  V# K* W7 m$ \
) H" |* w! v$ @1 r! ~$ E
Wang X, Cupples WA. Interaction between nitric oxide and renal myogenic autoregulation in normotensive and hypertensive rats. Can J Physiol Pharmacol 79: 238-245, 2001.1 B% M3 K7 H) r$ R2 N/ A8 |3 J

  P, L* C, p& g, N3 S0 K9 E
* X& p# n' I, l$ J  D* Y! o
Wang X, Ajikobi DO, Salevsky FC, Cupples WA. Impaired myogenic autoregulation in kidneys of Brown Norway rats. Am J Physiol Renal Physiol 278: F962-F969, 2000.- |. k. t* }6 E" y& j/ K; a' g. r
: B, e- |% E, s" Z8 t+ I. x  ?: y
/ j- e% U5 j# Q" E; X
$ g; n! j6 X* Q! m" I  u
Wang X, Breaks J, Loutzenhiser K, Loutzenhiser R. Effects of inhibition of the Na /K /2Cl - cotransporter on myogenic and angiotensin II responses of the rat afferent arteriole. Am J Physiol Renal Physiol. In press./ W6 }( s& [. S! B7 e; S3 L
  S: N! e3 [, y7 B& j8 w
8 H" T6 u& Z7 V! W& l# i+ A

Wang X, Salevsky FC, Cupples WA. Nitric oxide, atrial natriuretic factor, and dynamic renal autoregulation. Can J Physiol Pharmacol 77: 777-786, 1999./ h9 ?+ K3 v7 M& ~# h0 [  }+ N. I
0 m; m4 ?3 K2 u' z) x

Wilcox CS. Regulation of renal blood flow by plasma chloride. J Clin Invest 71: 726-735, 1983.- P6 u+ F; f( ^/ x4 G9 _
# d1 A$ s0 U; k7 D8 c3 \9 f/ H! c% [; }: T

Wilcox CS. Redox regulation of the afferent arteriole and tubuloglomerular feedback. Acta Physiol Scand 179: 217-223, 2003.

; n, [& B% g7 V: f0 `
1 U6 e( \  o! f
Wilcox CS, Welch WJ, Murad F, Gross SS, Taylor G, Levi R, Schmidt HH. Nitric oxide synthase in macula densa regulates glomerular capillary pressure. Proc Natl Acad Sci USA 89: 11993-11997, 1992.

8 A* e* F9 W  v- e
, Y: T  @, \, C' Z5 e  |+ [5 Q
Woods LL, DeYoung DR, Smith BE. Regulation of renal hemodynamics after protein feeding: effects of loop diuretics. Am J Physiol Renal Fluid Electrolyte Physiol 261: F815-F823, 1991.$ [7 p! Q+ c" |$ B, F' p( ^

Wright FS. Flow-dependent transport processes: filtration, absorption, secretion. Am J Physiol Renal Fluid Electrolyte Physiol 243: F1-F11, 1982.% g- E" H0 {- x6 T
% U$ y3 h5 J' Y5 n- u1 |
9 v' ^) y' }' s+ L' K7 _8 g3 g

Wright FS, Briggs JP. Feedback control of glomerular blood flow, pressure, and filtration rate. Physiol Rev 59: 958-1006, 1979.4 m+ ^8 I8 ^. V: ^0 M7 P8 s

Yip KP, Holstein-Rathlou NH, Marsh DJ. Chaos in blood flow control in genetic and renovascular hypertensive rats. Am J Physiol Renal Fluid Electrolyte Physiol 261: F400-F408, 1991.

" |8 _9 m: }# o# B$ Q2 q- H
Yip KP, Holstein-Rathlou NH, Marsh DJ. Mechanisms of temporal variation in single-nephron blood flow in rats. Am J Physiol Renal Fluid Electrolyte Physiol 264: F427-F434, 1993.

' d2 A4 W8 q# d- X8 E, G. @
7 j5 x6 N# H) B" V. n
Zamir M, Phipps S. Morphometric analysis of the distributing vessels of the kidney. Can J Physiol Pharmacol 65: 2433-2440, 1987.

! y- l. ]' C* U# h: K6 n% A2 Y
. P% j( x; l6 U4 a, P! l
Zhang R, Zuckerman JH, Giller CA, Levine BD. Transfer function analysis of dynamic cerebral autoregulation in humans. Am J Physiol Heart Circ Physiol 274: H233-H241, 1998.

  s8 I& K; ?/ V* t% v" G

Zhao H, Lu S, Zou R, Ju K, Chon KH. Estimation of time-varying coherence function using time-varying transfer functions. Ann Biomed Eng 33: 1582-1594, 2005.+ v$ [# t7 z& i  Q) r

( |2 ~0 Y( T: V' C6 c: K

Zhong Y, Cupples WA, Moore LC, Chon KH. Analysis of renal autoregulatory dynamics using time-varying transfer and coherence functions. FASEB J 18: abstract 205.9 [CD-ROM].

Zou R, Chon KH. Robust algorithm for estimation of time-varying transfer functions. IEEE Trans Biomed Eng 51: 219-228, 2004.
2 N, W; |- S6 d

- ~  I- D6 ]4 c
Zou R, Cupples WA, Yip KP, Holstein-Rathlou NH, Chon KH. Time-varying properties of renal autoregulatory mechanisms. IEEE Trans Biomed Eng 49: 1112-1120, 2002.

收藏0 分享0 顶0 踩0