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Am J Physiol Heart Circ Physiol 287: H2687-H2696, 2004. First published August 5, 2004; doi:10.1152/ajpheart.00287.2004
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Noninvasive interrogation of microvasculature for signs of endothelial dysfunction in patients with chronic renal failure

Julian Stewart, Adam Kohen, Daniel Brouder, Fahim Rahim, Stephen Adler, Renee Garrick, and Michael S. Goligorsky

Division of Nephrology and Renal Research Institute, Departments of Medicine and Pediatrics, New York Medical College, Valhalla, New York 10595

Submitted 25 March 2004 ; accepted in final form 30 July 2004


    ABSTRACT
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Endothelial cell dysfunction (ECD) has been demonstrated in patients with end-stage renal disease (ESRD) who have cardiovascular disease (CD) or diabetes mellitus (DM). While techniques to examine conduit arteries have been adapted to these patients, evaluation of microvascular function has lagged behind. Therefore, we used laser Doppler flowmetry (LDF) and scanned laser Doppler imaging (LDI) to quantify parameters of the postocclusion reactive hyperemia and thermal hyperemic responses (local heating to 43°C) in ESRD patients (n = 63) and healthy individuals (n = 33). Patients with ESRD were partitioned among those with either CD or DM or both (designated CDorDM, n = 30), patients with both CD and DM (designated CD+DM, n = 12, statistically similar to CDorDM), and patients with neither CD or DM (designated ~CDorDM, n = 33). LDF during thermal hyperemia showed a decrease in the thermal peaks and plateau as well as a delay in plateau compared with control, consistent with ECD. LDF during reactive hyperemia showed a decrease in the pay-back area under the curve, also consistent with ECD. ~CDorDM were heterogeneous: almost 50% contained flow abnormalities similar to CDorDM. There was also a reduction in the number of functional arterioles on LDI images. Fourier analysis of LDF oscillations showed that low-frequency oscillations characterizing endothelial function were impaired in CDorDM and in many ~CDorDM. The data demonstrate that ESRD patients with expected ECD (CDorDM) are characterized by distinct abnormalities in LDF parameters. However, similar abnormalities are found in approximately one-half of ESRD patients without evidence for CD or DM. Postocclusive and thermal interrogation of the microvasculature with laser Doppler-resolved parameters of the microcirculation, followed by Fourier analysis of the very slow oscillations, may provide a valuable adjunct to early noninvasive diagnosis of ECD in ESRD, especially important in a subpopulation of ESRD patients with no known CD or DM, which could be at increased risk of impending clinical manifestations of vasculopathy.

laser Doppler flowmetry; imaging; microcirculation; coronary artery disease; diabetes mellitus


CARDIOVASCULAR COMPLICATIONS have emerged as the most serious life-threatening accompaniment of end-stage renal disease (ESRD) (23). Widespread macrovascular endothelial cell dysfunction (ECD), diagnosed in large conduit vessels as paradoxical vasoconstriction to acetylcholine occurring before angiographic stigmata of atherosclerosis are detectable, is believed to be ultimately responsible for the development of many cardiovascular complications (24, 33, 43). Patients with ESRD are at additional risk for ECD because the uniform and concomitant presence of hyperhomocystenemia, accumulation of asymmetric dimethylarginine, anemia, oxidative stress, and reduction of bioavailable nitric oxide (NO) facilitate the development of endothelial dysfunction and, ultimately, cardiovascular complications in this cohort (9, 10, 23, 32). This explains why investigators worldwide are intensely searching for noninvasive surrogate markers of endothelial dysfunction.

However, ECD is foremost a microvascular disease, and, although macroscopic tests of vascular function such as plethysmographic forearm blood flow measurement have been advocated as tests for detection of endothelial dysfunction in ESRD patients (4, 7), they cannot accurately reflect microvascular function. Similarly, surrogate markers such as plasma levels of plasminogen activator receptor-1, selectins, von Willebrand factor, prostaglandin metabolites, or C-reactive protein are used but remain nonspecific. Although all these tests carry certain informational value, none is capable of reporting directly the status of microcirculation and its regulation. This existing gap in testing microcirculatory profile is being filled by studies using noninvasive laser Doppler flowmetry (LDF), including single point laser Doppler (LDPM) and/or high-resolution laser Doppler perfusion imaging (LDPI) (3, 1214, 1620, 22, 25, 2731, 35).

The surface area of dermal capillaries provides for ~30 m2 of endothelial coverage. Blood flow, usually averaging 10–20 ml·min–1·100 g–1, may vary from 1 to 200 ml·min–1·100 g–1 (5), indicating a remarkable plasticity of regulatory control in this vascular bed. The skin, therefore, is highly vascular and very accessible. However, the key question confronting any study of surrogate tissues including laser Doppler studies of cutaneous microvasculature is does information obtained from cutaneous microcirculation correlate with changes in coronary, renal, or muscle vascular beds, which ultimately produce myocardial infarction, insulin resistance, hypertension, and progression of renal failure? There is positive evidence: it has been demonstrated that cutaneous microvascular dysfunction correlates with blood pressure and insulin resistance (11, 36, 37). Patients with cardiac allograft vasculopathy or with coronary three-vessel disease have been found to exhibit abnormalities of the cutaneous microcirculation (15). Diabetic patients show cutaneous microangiopathy which is more pronounced in those with advanced retinopathy (41). Furthermore, cutaneous microcirculatory responses are blunted in patients with angiographically demonstrated coronary artery disease (38).

These data suggest that the investigation of the cutaneous microcirculation using LDF may adequately mirror the state of microcirculation in other vascular beds including cardiac muscle. Proof of this thesis is missing in patients with ESRD, who are at ~20-fold increased risk of cardiovascular mortality compared with the multiparameter-matched general population (23). We hypothesized that LDF and high-resolution imaging of the cutaneous microvasculature could supply important preclinical information on the state of the microcirculation in ESRD. Therefore, the purpose of this study was to examine the value of laser Doppler methods for functional screening of endothelial dysfunction in patients with ESRD.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Subjects and Experimental Outline

We studied 63 male and female patients between the ages of 18 and 60 yr with renal failure who were attending our dialysis unit. We recruited 33 healthy male and female subjects between the ages of 18 and 60 yr willing to undergo testing and capable of following the study protocol. Control and ESRD groups had matching age, ethnic, and gender distribution. ESRD patients examined had no surgical procedures on the limb used for investigation. Testing was performed immediately before the hemodialysis in 95% of patients or on the day after hemodialysis in 5%. Patients and control subjects were nonsmokers (n = 52) or abstained from smoking (n = 11) for at least 3 h before the testing, had no food intake for at least 2 h prior to testing, and did not take their morning medications. Exclusion criteria were as follows: peripheral vascular disease, psoriasis, peripheral neuropathy, liver failure, neoplastic disease, Cushing syndrome, collagen vascular disease, dermatologic problems, chronic angioedema or lymphedema, uncontrolled hyperthyroidism, chronic substance abuse, or any condition precluding the subject following the protocol. Exclusion criteria for control subjects were the same as for ESRD patients except that renal disease, diabetes, heart failure, and cardiovascular medications were also excluded.

ESRD patients were subgrouped by the presence or absence of previously diagnosed cardiovascular disease (CD) or diabetes mellitus (DM). ESRD patients with both CD and DM were designated CD+DM. ESRD patients with either CD, DM, or both were designated as CDorDM. ESRD patients with neither CD nor DM were designated ~CDorDM. As shown in Table 1, there were no differences in parameters of lipid metabolism, blood pressure, and hematocrit between the subgroups. There was a significant difference (P < 0.05) in LDL between the CD and ~CDorDM group. There was also a significant difference (P < 0.05) in hematocrit between the DM and ~CDorDM group. All patients received epogen and folate supplementation, 16 patients received angiontensin-converting enzyme inhibitors or angiotensin receptor blockers, and 8 patients received statins. The study was approved by the Committee for the Protection of Human Subjects (Institutional Review Board) at New York Medical College, and all examined individuals read and signed an informed consent.


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Table 1. Anthropometric parameters and laboratory data in ESRD patients

 
Protocol

Test began at 9:30 AM in a temperature-controlled room kept at 24°C with a relative humidity of 40%.

All tests were performed while subjects sat in a comfortable armchair. After a 30-min acclimatization period, we measured blood pressure and heart rate, and subjects were acclimated to the laser equipment, monitoring equipment, and environment. The arm selected for investigations was positioned at heart level and gently immobilized using a vacuum pillow containing polyurethane beads, which moulds to the shape of the arm (Germa). Two areas of the volar aspect of the forearm were chosen: one was a 2 x 2-cm2 site for laser Doppler perfusion imaging (LDPI; Perimed PeriScan PIM II; Stockholm, Sweden), with each scan taking approximately 10 s; the second site spaced ~6 cm from the scanning site was used to continuously measure skin blood perfusion using a laser Doppler perfusion monitor (LDPM) with single-point LDF probes (Perimed Periflux System 5000). Continuous LDPM employed coherent laser light at a wavelength of 780 nm, which was sampled at a rate of 32 samples/s. LDF was measured in arbitrary perfusion units (pfu). Sampled LDF was interfaced to a personal computer through an analog-to-digital converter (DATAQ) using PeriSoft data-acquisition software. LDPM data were electronically readjusted such that baseline flow fell on the y-axis for perfusion units and changes in LDF were measured thereafter. A representative experiment is shown in Fig. 1. As shown in Fig. 1, we measured LDPI at baseline. We applied ischemia, measured LDPM during 10-min postocclusion reactive hyperemia (PORH), and remeasured LDPI immediately after the release of ischemia. After a 10-min postischemic period, thermal hyperemia (TH) was performed as detailed below while LDPM was performed throughout.



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Fig. 1. Representative tracing of control postocclusive hyperemia (PORH) and thermal hyperemia (TH). Insets, representative laser Doppler imaging of the microcirculation, showing its nonhomogeneity and the presence of areas of high perfusion. Measurement a, peak hyperemic flow; measurement b, time to peak hyperemic flow; measurement c = area under the curve (AUC); measurement d, first thermal peak; measurement e, thermal nadir; measurement f, second thermal peak; measurement g, time to first thermal peak; measurement h, time to thermal nadir; measurement i, time to second thermal peak; PU, perfusion units. Laser Doppler scanning images obtained at baseline and at the peak of hyperemic response reveal the nonhomogeneity of skin perfusion and the existence of "hot" spots (red color on the pseudocolor images), which represent sites of enhanced perfusion near functioning arterioles.

 
Details of the Method

Postocclusive reactive hyperemia. After the acclimatization period, LDPM and LDPI of the forearm were recorded. An occlusion cuff placed around the upper arm was inflated to a pressure 15 mmHg above the systolic pressure and remained inflated for 4 min. Absence of cutaneous flow was documented by LDF. The PORH response (pay-back response) elicited upon release of arterial occlusion was recorded until full recovery of LDF to the basal level. The payback response was quantitated by the area under the PORH curve with respect to zero baseline. At the peak of payback response, LDPI of the same volar forearm 2 x 2-cm2 area was performed. Data analysis was performed using PeriSoft software (Perimed). We measured peak flow, time to peak flow, and area under the curve (AUC) (Fig. 1).

Thermal hyperemia. Local heating of nonglabrous skin such as the forearm evokes vasodilation that is mediated by neurogenic reflexes and locally produced endothelium-dependent vasodilatory substances (12, 16, 25, 18). The LDPM probe was heated to 43°C over a 2-min period. Laser Doppler flow was measured over the next 30 min to record flow patterns characterized by an initial peak, followed by a nadir, and finally rising to a second peak, which continues as a sustained plateau, as depicted in Fig. 1. Kellogg and colleagues (16) first showed and Minson (25) corroborated that the dilator response to local heating is related to NO, which plays a major role in the sustained cutaneous vasodilation (i.e., the secondary plateau) of prolonged heating. The first peak is blunted by NO synthase inhibitors, but the second peak and plateau are more markedly reduced.

Fourier Analysis

LDPM signals recorded at the baseline and throughout experiments were digitized at 32 Hz. Hamming-windowed fast Fourier transform was performed, and digital power spectra were calculated from the squared amplitude at each frequency. The spectral power within a given band was computed by taking the power in the actual frequency band. Spectral power was partitioned into power bands of very low frequency of 0.0095–0.021 Hz, low frequency of 0.021–0.052 Hz, midrange 0.052- 0.145 and 0.145–0.6 Hz, and high frequency of 0.6–1.6 Hz (21). The total power was also calculated as the sum over all bands and used as a denominator to obtain normalized power in a given band.

Statistical analyses. Data in tables are presented as means ± SD. Graphical results are presented as frequency distributions for control, CDorDM, and ~CDorDM subjects. CDorDM was used rather than the sicker CD+DM group because these were not significantly different (see below) and to achieve a sufficiently large patient group. Multiple {chi}2-tests were used to compare these graphical data. Tabular comparisons between control and ESRD were performed using an unpaired t-test; multiple comparisons between subgroups of ESRD patients were performed using one-way ANOVA followed by the Tukey test. Differences were considered significant at P < 0.05. Regression analysis was performed between body mass index (BMI) or systolic blood pressure (SBP) as well as laboratory data and each measured LDF parameter.


    RESULTS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
The data showed no apparent dependence on the gender and age and therefore were averaged for each group of subjects.

Postocclusive Reactive Hyperemia

Figure 1 demonstrates the nonhomogeneity of perfusion best depicted in the second color inset. This inset shows distinct spots of high perfusion ("hot spots") intermixed with the areas of lower perfusion and stands in contrast to the first inset obtained before ischemia. Hot spots are areas of high Doppler shift (i.e., increased LDF) over sites of entry of cutaneous arterioles. We counted the numbers of hot spots found in a given LDPI scan before and after ischemia and the percent increase in mean perfusion during the scan in the various groups. Mean perfusion within the scanned area was found using the Perimed LDPIwin software (version 2.1). Table 2 shows that there were significantly more hot spots during the postocclusive period. Table 2 also shows that the number of hot spots pre- and postocclusion was uniformly reduced in ESRD patients compared with control subjects regardless of CD or DM status.


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Table 2. Post occlusive reactive hyperemia

 
Turning to LDPM results, whereas the peak hyperemic flow and the posthyperemic flow AUC was not different between the ESRD and control subjects as a whole, the AUC was significantly reduced (P < .005) for CD+DM while the peak hyperemic flow was also decreased (P < 0.01) in this subgroup compared with control. Further observations emerged when data were graphically analyzed as frequency distributions, as shown in Fig. 2. The distribution of the AUC was significantly different for CDorDM compared with control (P = 0.01 by {chi}2-analysis). However, ~CDorDM was not different from either control (P = 0.21 by {chi}2-analysis) or from CDorDM (P = 0.37 by {chi}2-analysis).



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Fig. 2. Frequency distributions for the PORH AUC. This represents the "payback response" to ischemia. Top: distribution for control subjects; middle: distribution for cardiovascular disease (CD) or diabetes mellitus (DM) (CDorDM) patients; bottom: distribution for patients with neither CD or DM (~CDorDM patients). The distribution of CDorDM is different from control. The distribution of ~CDorDM is neither different from control nor different from CDorDM and therefore contains elements of each. pfu, Arbitrary perfusion units.

 
Thermal Hyperemia

There was no significant difference in the first thermal peak (measurement d in Fig. 1) among control and ESRD subgroups. On the other hand, the nadir of thermal hyperemia (measurement e in Fig. 1) was significantly decreased in amplitude for most ESRD subgroups, whereas the second thermal peak was decreased in ESRD patients with either CD or DM, as shown in Table 3. Again, further clarification emerged when data were graphically analyzed as frequency distributions, as shown in Figs. 3 and 4. The distribution of the amplitude of the first thermal peak shown in Fig. 3 was significantly different for CDorDM compared with control (P = 0.02 by {chi}2-analysis). However, ~CDorDM was not different from either control (P = 0.17 by {chi}2-analysis) or from CDorDM (P = 0.32 by {chi}2-analysis). Similarly, the distribution of the amplitude of the second thermal peak shown in Fig. 4 was significantly different for CDorDM compared with control (P = 0.025 by {chi}2-analysis). However, ~CDorDM was not different from either control (P = 0.10 by {chi}2-analysis) or from CDorDM (P = 0.69 by {chi}2-analysis).


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Table 3. Thermal hyperemia

 


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Fig. 3. Frequency distributions for the amplitude of the first thermal peak during thermal hyperemia. Top: distribution for control subjects; middle: distribution for CDorDM patients; bottom: distribution for ~CDorDM patients. The distribution of CDorDM is different from control. The distribution of ~CDorDM is neither different from control nor different from CDorDM and therefore contains elements of each.

 


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Fig. 4. Frequency distributions for the amplitude of the second thermal peak (the plateau height) during thermal hyperemia. Top: distribution for control subjects; middle: distribution for CDorDM patients; bottom: distribution for ~CDorDM patients. The distribution of CDorDM is different from control. The distribution of ~CDorDM is neither different from control nor different from CDorDM and therefore contains elements of each.

 
Times to thermal events were generally delayed in ESRD compared with control (Table 3) including the first thermal peak (measurement g in Fig. 1), nadir (measurement h in Fig. 1), and the second thermal peak values for TH (measurement i in Fig. 1). Time to nadir data are graphically analyzed as frequency distributions in Fig. 5. The distribution was significantly different for CDorDM compared with control (P = 0.02 by {chi}2-analysis). However, ~CDorDM was not different from either control (P = 0.12 by {chi}2-analysis) or from CDorDM (P = 0.34 by {chi}2-analysis).



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Fig. 5. Frequency distributions for the time to the nadir (measurement h in Fig. 1) during TH. Top: distribution for control subjects; middle: distribution for CDorDM patients; bottom: distribution for ~CDorDM patients. The distribution of CDorDM is different from control. The distribution of ~CDorDM is neither different from control nor different from CDorDM and therefore contains elements of each.

 
Hence, whereas clear-cut distinctions existed between CDorDM and control group, patients with ~CDorDM were distributed such that abnormalities in thermal hyperemia appeared in a large fraction of patients leading to frequency distributions sharing features of control and CDorDM groups. Roughly one-half of the otherwise "healthy" ESRD patients displayed the same (endothelial) abnormalities that were detected in the patients with the known CD or DM.

Relation Between Laser Doppler Parameters and Lipid Abnormalities, Blood Pressure, Hematocrit, and Obesity

In an attempt to gain pathophysiological insights into the potential significance of abnormalities in LD parameters, as related to the disturbances in systemic circulation, lipid metabolism, or anemia, we performed regression analyses between each of LDF parameters and results of clinicolaboratory testing at the time of examination. These are shown in Table 4.


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Table 4. Regression analysis summary for LDF subjects

 
Body mass index. BMI directly correlated with the increase in postocclusive perfusion; directly correlated with the amplitude of the nadir in ESRD patients with CAD, and directly correlated to the time to first thermal peak and time to nadir of TH in ESRD patients with diabetes and CD+DM.

Blood pressure. Regression analysis also revealed correlation between SBP and LDF parameters. The increase in postocclusive perfusion was directly related to SBP in ESRD as an entire group and in ~CDorDM patients. There was an inverse relation between SBP and the number of preocclusive functioning arterioles in the entire ESRD group.

Hematocrit. Hematocrit was inversely correlated with the time to the second thermal peak in ESRD patients with CD, but directly correlated with time to the first thermal peak in ~CDorDM patients, and with preocclusion hot spots in CD patients.

Lipids. Cholesterol and LDL levels did not correlate with any LDF parameters. However, HDL directly correlated with preocclusion hot spots in CD patients and inversely correlated with time to second thermal peak in the whole ESRD group and with preocclusion hot spots in the ~CDorDM group. Triglycerides directly correlated with time to postocclusive peak in the CD+DM group.

Fourier Analysis of Frequency Distribution of Laser Doppler Flowmetry

A more discriminating analysis was accomplished by comparing the frequency distribution of oscillations in baseline nonhyperemic laser Doppler blood flow (LDPM) using Fourier transformation (21, 39). A more complex time-dependent analysis during hyperemic stimulation could be interesting but is beyond the scope of present investigation. Results are presented in Table 5. The values in the database represent the average spectral amplitude taken over the 10-min baseline recording period. Most notable differences occurred in the normalized amplitudes in three frequency domains: very low frequency of 0.0095–0.021 Hz, low frequency of 0.021–0.052 Hz, and high frequency of 0.6–1.6 Hz. In the 0.0095- to 0.021-Hz frequency domain, which is dependent on endothelial function (21), the normalized amplitude of oscillations in control subjects differed significantly from the ESRD group as a whole as well as from the CD, DM, and CD+DM subgroups. Although in this very low frequency domain the ESRD patients with ~CDorDM showed no differences in normalized spectral power compared with the control group, once a frequency distribution is performed as in Figs. 25, it is once again clear that approximately one-half of ~CDorDM patients have abnormal endothelial function measured by this index as well. In the 0.021- to 0.052-Hz domain, the controls differed significantly from the whole ESRD group and the subgroup without ~CDorDM. At frequencies of 0.052–0.145 Hz, significant differences from control were apparent in the whole ESRD group as well as the DM group. At frequencies of 0.145–0.6 Hz, the ~CDorDM group differed significantly from both the CD and DM groups. Finally, in the high-frequency oscillations, the 0.6- to 1.6-Hz band, reflective of the vascular wall transmission of the stroke volume (34, 35), controls differed significantly from the total ESRD group and the CD, DM, and CD+DM subgroups, whereas ~CDorDM was not different from controls but did differ significantly from the CD and DM groups.


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Table 5. Fourier analysis results for baseline recordings

 

    DISCUSSION
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Cutaneous blood flow and its recovery after ischemia have recently become employed to assess the microcirculation. PORH has been used as a tool for general assessment of vascular and metabolic reactivity. In conduit arteries, its magnitude is partially NO and prostaglandin dependent, and the time to peak value has been suggested to correlate with coronary microcirculatory dynamics (19, 20, 22). However, in the cutaneous microvasculature, NO dependence is controversial (1). Our data suggest that reactive hyperemia does depend on endothelial function but does not posit any specific biochemical mechanism that could, for example, involve prostaglandins and EDHF as well as NO-dependent responses. Thermal hyperemia has been used as a more specific means to assess endothelial function, allowing the assessment of NO-dependent vasorelaxation reported as the amplitude of the second peak (3, 17, 25). Our study uniquely combined both sets of vasomotor challenges. An additional important feature of our study was that information obtained from a spatially limited Doppler probe (LDPM) was supplemented with the data collected using a high-resolution LDPI, which scans a much larger area of the skin and allows data integration.

The data provide the following important insights into the microcirculation of ESRD: 1) testing local postocclusive and thermal microvascular responses with LDF discloses several parameters, which cocluster with ESRD, CD, and DM; 2) LDF measures of endothelial dysfunction are present in a subset of ESRD patients even in the absence of CD and DM; 3) testing the microcirculation with high-resolution LDPI reveals the functional state of cutaneous arterioles, which tend to display significantly prolonged periods of cessation of blood flow in ESRD patients, thus masquerading as the decreased density of arterioles; and 4) Fourier analysis of the frequency distribution of oscillations in blood flow revealed substantial differences in endothelium-dependent and -independent harmonics, as detailed below.

Perhaps one of the most revealing finding is point 3, which indicates that a significant proportion of ESRD patients without any clinical manifestations of CD or DM still display abnormalities in LDF parameters consistent with endothelial dysfunction. This may be an indication that 1) the observed findings could reflect the state of global endothelial dysfunction and/or 2) the observed abnormalities could be reflective of the state of insulin resistance, which characterizes majority of ESRD patients. Regardless of the ultimate cause, abnormalities seen in otherwise healthy ESRD patients might be viewed as an early sign for impending clinically important cardiovascular disease or diabetes in this subgroup and prompt the consideration of additional therapeutic modalities such as statins and/or N-acetylcysteine (40). The proof of this thesis will require longitudinal analysis of morbidity and its modification by therapeutic intervention, which are currently in progress.

Several studies have already characterized macrovascular blood flow responses in ESRD patients (2, 26), but characterization of the microvascular blood flow has been lacking. Shamim-Uzzaman et al. (38) have compared brachial artery flow-mediated dilatation (FMD) with LDPM in patients with CD and demonstrated no differences in FMD between CD and control subjects, whereas there was a significant prolongation of time to peak responses in CD (17 vs. 9 s), significant decrease in PORH, and a trend toward lower AUC at 5 min in patients with CD. Thus the authors concluded that 1) no strong correlation exists between the LD-derived parameters of cutaneous microcirculatory blood flow and the plethysmographic results from conduit vessels and 2) that LD-derived time to peak of more than 10 s appeared to be the most predictive parameter for the presence of CD in the general population. In our ESRD patients, a distinct picture emerges: patients with the existing CD showed profound abnormalities in the TH response but less striking in the parameters of the PORH response. Because thermal responses are mediated by the axon reflex (first peak) and NO-dependent and -independent mechanisms of vasomotor control (second peak), these findings may implicate sympathetic nervous system and endothelium-dependent vasomotion in the observed abnormalities of LDF parameters in ESRD patients. Indeed, autonomic dysfunction in ESRD, both parasympathetic and sympathetic, as well as endothelial dysfunction have been well documented (6, 34). Taking into consideration previous mechanistic studies (17, 25), our data strongly implicate endothelium- and NO-dependent and -independent vascular control in the observed abnormalities in ESRD patients.

In the present study, high-resolution LDPI revealed, for the first time, the functional state of cutaneous arterioles, which tend to display significantly prolonged periods of closed state and cessation of blood flow associated with an impaired postocclusion recruitment in ESRD patients. The apparent "rarefaction" of functional dermal arterioles in patients with ESRD compared with control population may reduce oxygen delivery to the tissues. Interestingly, somewhat similar findings have been obtained using nail fold capillaroscopy (15) in patients with cardiac allograft vasculopathy: investigators have found reduced red blood cell velocity under resting conditions, loss of postischemic reactive hyperemia, and spontaneous temporary cessation of cutaneous blood flow. Similarly, De Backer et al. (8), using orthogonal polarization spectral imaging of the sublingual microcirculation, reported that the density of vessels and the proportion of perfused vessels are reduced in patients with sepsis. Irving et al. (11) have studied capillary density on the dorsum of a finger and demonstrated that insulin resistance and high blood pressure were associated with lower capillary density and impaired increase in the blood flow after heating. Hypertensive subjects with reduced insulin sensitivity displayed deficient capillary recruitment after arterial occlusion as well as defective acetylcholine-mediated and insulin-mediated vasodilation (36).

To determine the origin of the observed decrease in the apparent arteriolar density in patients with ESRD, we considered the possibility that spontaneous pacemaker-like vasoactivity at the terminal precapillary vascular bed may be impaired. Fourier analysis was employed to resolve the contribution of vascular endothelium to this activity. Oscillations of microvascular blood flow are induced by the heart and respiratory rate, sympathetic tone (higher frequencies), and the intrinsic very-slow-frequency endothelium-dependent pacemaker tone (21, 39). Fourier analysis of the frequency domains in our patient population revealed important hitherto hidden information: endothelium-dependent very-low-frequency oscillations were capable of discriminating between patients without preexisting CD and/or DM from ESRD patients with no clinical manifestations of CD, suggesting that this type of regulation of microvascular perfusion is most profoundly perturbed in the former subgroups of patients.

Another aspect of this study is the search for relation of laser Doppler-determined parameters of blood flow regulation and the levels of lipidemia, anemia, and obesity in ESRD patients. Interestingly, none of these parameters showed correlation with cholesterolemia or levels of LDL, but the level of HDL exhibited a strong correlation with the time of the first thermal peak, the amplitude of the first thermal peak, and the nadir of thermal hyperemia only in patients with diagnosed CD. In patients with CD, correlation existed between the hematocrit and the timing of the second thermal peak. The same group of patients, with or without DM, was characterized by the tight relation between the triglyceridemia and the amplitudes of first and second thermal peaks. BMI correlated with the amplitude of the first thermal peak and with the nadir of thermal hyperemia in patients with CD. These findings further emphasize the importance of controlling anemia, hyperlipidemia, and obesity in vasomotion (1), yet their relation to parameters of LDF seem to be much more complex.

A limitation to our study was the inclusion of cigarette smokers in both ESRD and control groups who were asked to abstain from tobacco use for only 3 h. Cigarette smoking may affect endothelial function. Future studies will employ a longer period of abstention and partitioning of subject groups by tobacco use as a confounding variable.

In conclusion, LDPM and LDPI, followed by Fourier analysis of the very slow oscillations, appear to provide valuable noninvasive tools for diagnosing abnormalities in the regulation of the microcirculation. This technique may be especially valuable for the early detection of ECD and impending CD or DM in ESRD patients with no previously known CD or DM, who are nonetheless at high risk for developing clinical manifestations of vasculopathy and could potentially benefit from a prophylactic therapy with statins, angiotensin-converting enzyme inhibitors, and/or antioxidants (40). The data also demonstrate that the entire cohort of ESRD patients is characterized by distinct abnormalities in LDF parameters. Future studies should also validate LDPM/LDPI as a potentially useful tool for noninvasive assessment of the efficacy of therapeutic interventions designed to reduce microvascular complications in ESRD patients.


    GRANTS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
This study was supported in part by National Institutes of Health Grants DK-54602 and DK-45462 (to M. S. Goligorsky) and HL-66007 (to J. Stewart) and by the Westchester Artificial Kidney Foundation.


    FOOTNOTES
 

Address for reprint requests and other correspondence: J. Stewart, New York Medical College, Center for Pediatric Hypotension, Suite 618, Munger Pavilion, Valhalla, NY 10595 (E-mail: stewart{at}nymc.edu) or M. S. Goligorsky, New York Medical College, Renal Research Institute, BSB, Rm. C-23, Valhalla, NY 10595 (E-mail: Michael_Goligorsky{at}nymc.edu)

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.


    REFERENCES
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 

  1. Abbott K, Glanton C, Trespalacios F, Oliver D, Ortiz M, Agodoa L, Cruess D, and Kimmel P. Body mass index, dialysis modality, and survival: analysis of the Untied States Renal Data System Dialysis Morbidity and Mortality Wave II study. Kidney Int 65: 597–605, 2004.[CrossRef][Web of Science][Medline]
  2. Annuk M, Lind L, Linde T, and Fellstrom B. Impaired endothelim-dependent vasodilation in renal failure in humans. Nephrol Dial Transplant 16: 302–306, 2001.[Abstract/Free Full Text]
  3. Berghoff M, Kathpal M, Kilo S, Hilz MJ, and Freeman R. Vascular and neural mechanisms of ACh-mediated vasodilation in the forearm cutaneous microcirculation. J Appl Physiol 92: 780–788, 2002.[Abstract/Free Full Text]
  4. Calver A, Collier J, and Vallance P. Inhibition and stimulation of nitric oxide in the human forearm vascular bed of patients with insulin-dependent diabetes. J Clin Invest 90: 2448–2454, 1992.
  5. Clough G and Church M. Vascular responses in the skin: an accessible model of inflammation. News Physiol Sci 17: 170–174, 2002.[Abstract/Free Full Text]
  6. Converse RL, Jacobson T, and Toto R. Sympathetic overactivity in patients with chronic renal failure. N Engl J Med 327: 1912–1918, 1992.[Abstract]
  7. Creager M, Cooke JP, Mendelsohn M, Gallagher S, Coleman S, Loscalzo J, and Dzau VJ. Impaired vasodilation of forearm resistance vessels in hypercholesterolemic humans. J Clin Invest 86: 228–234, 1990.[Web of Science][Medline]
  8. De Backer D, Creteur J, Preiser JC, Dubois MJ, and Vincent JL. Microvascular blood flow is altered in patients with sepsis. Am J Respir Crit Care Med 166: 98–104, 2002.[Abstract/Free Full Text]
  9. Dzau VJ, Gibbons GH, Mann M, and Braun-Dullaeus R. Future horizons in cardiovascular molecular therapies. Am J Cardiol 80: 33–39, 1997.
  10. Goligorsky MS. Nephrology forum: Endothelial cell dysfunction: the pivotal role of nitric oxide synthase. Kidney Int 58: 1360–1376, 2000.[CrossRef][Web of Science][Medline]
  11. Irving R, Walker B, and Noon J. Microvascular correlates of blood pressure, plasma glucose, and insulin resistance in health. Cardiovasc Res 53: 271–276, 2002.[Abstract/Free Full Text]
  12. Johnson JM, O'Leary DS, Taylor WF, and Kosiba W. Effect of local warming on forearm reactive hyperaemia. Clin Physiol 6: 337–346, 1986.[Web of Science][Medline]
  13. Johnson JM, Taylor WF, Shepherd AP, and Park MK. Laser-Doppler measurement of skin blood flow: comparison with plethysmography. J Appl Physiol 56: 798–803, 1984.[Abstract/Free Full Text]
  14. Joyner MJ and Dietz NM. Nitric oxide and vasodilation in human limbs. J Appl Physiol 83: 1785–1796, 1997.[Abstract/Free Full Text]
  15. Jung F, Mrowietz C, and Labarrere C. Primary cutaneous microangiopathy in heart recipients. Microvasc Res 62: 154–163, 2001.[CrossRef][Web of Science][Medline]
  16. Kellogg DL Jr, Crandall CG, Liu Y, Charkoudian N, and Johnson JM. Nitric oxide and cutaneous active vasodilation during heat stress in humans. J Appl Physiol 85: 824–829, 1998.[Abstract/Free Full Text]
  17. Kellogg DL Jr, Liu Y, Kosiba IF, and O'Donnell D. Role of nitric oxide in the vascular effects of local warming of the skin in humans. J Appl Physiol 86: 1185–1190, 1999.[Abstract/Free Full Text]
  18. Kellogg DL Jr, Pergola PE, Piest KL, Kosiba WA, Crandall CG, Grossmann M, and Johnson JM. Cutaneous active vasodilation in humans is mediated by cholinergic nerve cotransmission. Circ Res 77: 1222–1228, 1995.[Abstract/Free Full Text]
  19. Kristensen JK and Henriksen O. Excess cumulative blood flow and repayment during reactive hyperemia in human cutaneous tissue. Acta Physiol Scand 108: 1–6, 1980.[Web of Science][Medline]
  20. Kubli S, Waeber B, Dalle-Ave A, and Feihl F. Reproducibility of laser Doppler imaging of skin blood flow as a tool to assess endothelial function. J Cardiovasc Pharmacol 36: 640–648, 2000.[CrossRef][Web of Science][Medline]
  21. Kvernmo H, Stefanovska A, Kirkeboen K, and Kvernebo K. Oscillations in the human cutaneous blood perfusion signal modified by endothelium-dependent and endothelium-independent vasodilators. Microvasc Res 57: 298–309, 1999.[CrossRef][Web of Science][Medline]
  22. Larkin SW and Williams TJ. Evidence for sensory nerve involvement in cutaneous reactive hyperemia in humans. Circ Res 73: 147–154, 1993.[Abstract]
  23. Levey A, Beto J, Coronado B, Eknoyan G, Foley R, Kasiske B, Klag M, Mailloux L, Manske C, Meyer K, Parfrey P, Pfeffer M, Wenger K, Wilson P, and Wright J. Controlling the epidemic of cardiovascular disease in chronic renal disease: what do we know, what do we need to learn, where do we go from here? Am J Kidney Dis 32: 853–906, 1998.[Web of Science][Medline]
  24. Ludmer PL, Selwyn AP, Shook LT, Wayne RR, Mudge GH, Alexander RW, and Ganz P. Paradoxical vasoconstriction induced by acetylcholine in atherosclerotic coronary arteries. N Engl J Med 315: 1046–1051, 1986.[Abstract]
  25. Minson CT, Berry LT, and Joyner MJ. Nitric oxide and neurally mediated regulation of skin blood flow during local heating. J Appl Physiol 91: 1619–1626, 2001.[Abstract/Free Full Text]
  26. Morris ST, McMurray JJ, Rodger RS, and Jardine AG. Impaired endothelium-dependent vasodilation in uraemia. Nephrol Dial Transplant 15: 1194–2000, 2000.[Abstract/Free Full Text]
  27. Ninet J and Fronek A. Cutaneous postocclusive reactive hyperemia monitored by laser doppler flux metering and skin temperature. Microvasc Res 30: 125–132, 1985.[CrossRef][Web of Science][Medline]
  28. Obeid AN, Barnett NJ, Dougherty G, and Ward G. A critical review of laser Doppler flowmetry. J Med Eng Technol 14: 178–181, 1990.[Web of Science][Medline]
  29. Oberg PA. Laser-Doppler flowmetry. Crit Rev Biomed Eng 18: 125–163, 1990.[Web of Science][Medline]
  30. Pergola PE, Kellogg DL, Johnson JM, and Kosiba WA. Reflex control of active cutaneous vasodilation by skin temperature in humans. Am J Physiol Heart Circ Physiol 266: H1979–H1984, 1994.[Abstract/Free Full Text]
  31. Pergola PE, Kellogg DL Jr, Johnson JM, Kosiba WA, and Solomon DE. Role of sympathetic nerves in the vascular effects of local temperature in human forearm skin. Am J Physiol Heart Circ Physiol 265: H785–H792, 1993.[Abstract/Free Full Text]
  32. Quyiumi AA, Dakak N, Andrews N, Husain S, Arora S, Gilligan D, and Panza JA. Nitric oxide activity in the human coronary circulation. Impact of risk factors for coronary athrosclerosis. J Clin Invest 95: 1747–1753, 1995.[Web of Science][Medline]
  33. Reddy KG, Nair R, Sheehan H, and Hodgson J. Evidence that selective endothelial dysfunction may occur in the absence of angiographic or ultrasound atherosclerosis in patients with risk factors for athrosclerosis. J Am Coll Cardiol 23: 833–843, 1994.[Abstract]
  34. Robinson TG and Carr SJ. Cardiovascular autonomic dysfunction in uremia. Kidney Int 62: 1921–1932, 2002.[CrossRef][Web of Science][Medline]
  35. Schabauer AM and Rooke TW. Cutaneous laser Doppler flowmetry: applications and findings. Mayo Clin Proc 69: 564–574, 1994.[Web of Science][Medline]
  36. Serne E, Gans R, and ter Maaten J. Impaired skin capillary recruitment in essential hypertension is caused by both functional and structural capillary rarefaction. Hypertension 38: 238–242, 2001.[Abstract/Free Full Text]
  37. Serne E, Stehouwer C, and ter Maaten J. Microvascular function relates to insulin sensitivity and blood pressure in normal subjects. Circulation 99: 896–902, 1999.[Abstract/Free Full Text]
  38. Shamim-Uizzaman Q, Pfenninger D, and Kehrer C. Altered cutaneous microvascular responses to reactive hyperemia in coronary artery disease: a comparative study with conduit vessel responses. Clin Sci 103: 267–273, 2002.[Web of Science][Medline]
  39. Soderstrom T, Stefanovska A, Veber M, and Swensson H. Involvement of sympathetic nerve activity in skin blood flow oscillations in humans. Am J Physiol Heart Circ Physiol 284: H1638–H1646, 2003.[Abstract/Free Full Text]
  40. Tepel M, van der Giet M, Statz M, Jankowski J, and Zidek W. An antioxidant acetylcysteine reduces cardiovascular events in patients with end-stage renal failure. Circulation 107: 992–995, 2003.[Abstract/Free Full Text]
  41. Tur E, Yosipovitch G, and Bar-On Y. Skin reactive hyperemia in diabetic patients. Diabetes Care 14: 958–962, 1991.[Abstract]
  42. Wong BJ, Wilkins BW, Holowatz LA, and Minson CT. Nitric oxide synthase inhibition does not alter the reactive hyperemic response in the cutaneous circulation. J Appl Physiol 95: 504–510, 2003.[Abstract/Free Full Text]
  43. Zeiher AM, Drexler H, Wollschlager H, and Just H. Modulation of coronary vasomotor tone in humans. Progressive endothelial dysfunction with different early stages of coronary atherosclerosis. Circulation 83: 391–401, 1991.[Abstract/Free Full Text]



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