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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
J Am Coll Cardiol. Author manuscript; available in PMC 2010 June 9.
Published in final edited form as:
PMCID: PMC2722783
NIHMSID: NIHMS129829

ABNORMAL SKELETAL MUSCLE CAPILLARY RECRUITMENT DURING EXERCISE IN PATIENTS WITH TYPE 2 DIABETES MELLITUS AND MICROVASCULAR COMPLICATIONS

Lisa Womack, M.S.,* Dawn Peters, Ph.D., Eugene J. Barrett, M.D. Ph.D.,* Sanjiv Kaul, M.D., F.A.C.C., Wendie Price, R.N.,* and Jonathan R. Lindner, M.D., F.A.C.C.

Abstract

Objectives

We sought to determine whether skeletal muscle capillary recruitment is impaired in type 2 diabetes mellitus (DM) with and without microvascular complications (MC).

Background

Insulin and exercise each stimulate recruitment of skeletal muscle capillaries. Insulin-mediated recruitment is impaired in insulin-resistant humans and animals, but exercise-mediated recruitment has not been studied.

Methods

We studied 20 control subjects, 22 with DM, and 8 with DM+MC. Under fasting conditions, contrast-enhanced ultrasound perfusion imaging of the forearm flexor muscles was performed to evaluate capillary blood flow (CBF) and blood volume (CBV) at rest and during low-or high-intensity contractile exercise (25% and 80% maximal handgrip). Rheologic parameters of erythrocyte deformability and plasma viscosity were measured.

Results

Muscle capillary responses to exercise were similar between the control and DM groups, but were reduced (p<0.05) in those with DM+MC. The DM+MC group had a ≈50% reduction in capillary recruitment, and a ≈60–70% reduction in CBF during both low- and high-intensity exercise compared to the control group. These abnormalities were independent of disease duration. Patients with DM+MC were more insulin resistant than DM patients, and had an elevated whole blood viscosity which correlated with plasma glucose (p=0.001) and C-reactive protein (CRP) (p=0.003).

Conclusions

Capillary recruitment during low- and high-intensity exercise is normal in uncomplicated type 2 DM but is impaired in those with microvascular complications. Abnormalities in capillary recruitment may be related to abnormal hemorheology, although larger trials are needed to establish this relation.

Keywords: Diabetes mellitus, Contrast ultrasound, Microvascular dysfunction, muscle perfusion, microbubbles

There is increasing evidence that abnormal skeletal muscle capillary responses in insulin-resistant patients contributes to impaired glucose metabolism and perhaps microvascular complications of type 2 diabetes mellitus (DM). In normal healthy individuals, physiologic hyperinsulinemia produced by a carbohydrate-rich meal or by a euglycemic clamp stimulates a rapid expansion of skeletal muscle capillary blood volume (CBV) (13). Insulin-mediated capillary recruitment is largely NO-dependent (46). This response is thought to augment glucose uptake by increasing the permeability-surface area product, thereby increasing glucose and insulin access to muscle interstitium. In insulin-resistant patients and animals, CBV and capillary blood flow do not increase normally in response to insulin, which may contribute to abnormal glucose homeostasis (710).

There has been increasing interest in whether capillary responses to exercise, which are not entirely NO-dependent (1114), are also abnormal in type 2 DM. Patients with type 2 DM have been shown to have lower total oxygen consumption and total body glucose uptake during submaximal exercise compared to healthy subjects (15). There is evidence in humans that these metabolic defects may be secondary, at least in part, to impaired microvascular flow responses (15,16). Under hyperinsulinemic conditions, exercise-mediated augmentation of total skeletal total muscle blood flow is blunted in insulin-resistant patients (16). However, in animal models of advanced DM, changes in flow and CBV in response to muscle contraction appear to be similar to that in healthy controls (17). It is not clear whether inconsistency of these results is related to species, differences in disease manifestation for single gene-targeted animal models of DM, or differences in exercise intensity. With regard to the latter, regulatory mechanisms of muscle blood flow and the relative contribution of capillary recruitment varies according to the intensity of contractile exercise (2,18).

The aim of this study was to use contrast ultrasound perfusion imaging to determine whether augmentation in CBV or capillary flow in skeletal muscle is impaired during low- or high-intensity exercise in patients with DM. We also tested whether abnormalities in skeletal muscle capillary responses would be more severe in patients with microvascular complications of DM, and also whether perturbations in blood rheology, which can influence capillary flow independent of arteriolar vasoregulatory tone (19,20), contribute to flow impairment.

METHODS

Study Population

The study was approved by the institutional Human Investigation Committee. Twenty healthy adult patients and 30 obese (BMI >30 kg/m2) patients with type-2 DM were studied. Eight of the patients with DM were identified as having microvascular complications defined as proteinuria (>30 µg/mg creatinine) on a spot urine collection within 1 week of the study, or diagnosis of neuropathy made by a neurologist based on summed clinical data (21). Subjects with angina, congestive heart failure, claudication, peripheral vascular disease, an ankle brachial index (ABI) ≤0.9, or uncontrolled hypertension (>150/90 mm Hg) were excluded. Other exclusion criteria for control subjects included a history of hypertension, dyslipidemia, body weight >10% over ideal, and first-degree relative with diabetes.

Study Design

At an initial screening visit, the maximal force generated on a calibrated handgrip ergometer was determined for the subject’s dominant arm using the average of 3 attempts. Urine samples were collected for protein measurement. Three days prior to the study visit, angiotensin converting enzyme inhibitors, angiotensin receptor blockers, and metformin were discontinued. Subjects were admitted to the General Clinical Research Center the evening prior to study and fasted overnight. The following morning, blood was drawn for measurement of lipid subfraction analysis by ultracentrifugation, glucose, hemoglobin A1c, and plasma insulin, C-reactive protein (CRP), blood viscosity, and erythrocyte deformability. The insulin and glucose data were used to calculate homeostatic model assessment (HOMA) index of insulin sensitivity calculated by: (I·G)/405 where I is fasting plasma insulin (µU/mL) and G is fasting plasma glucose (mg/mL). Brachial artery blood flow and skeletal muscle perfusion in the proximal forearm by CEU were measured at baseline, then during both low- and high-intensity exercise. For low-intensity exercise, subjects performed 1 s handgrip exercise at 25% of their pre-determined maximal force value every 5 seconds for 2 min. Handgrip frequency was then reduced to every 20 seconds and brachial artery blood flow and skeletal muscle perfusion were measured within 3 min. After a 20 min rest period the imaging studies were repeated with 80% maximal force value every 5 seconds for 2 min, then every 20 seconds thereafter at which time brachial artery blood flow and skeletal muscle perfusion measurements were repeated.

Brachial artery blood flow

Ultrasound of the brachial artery 5 cm above the antecubital fossa was performed with a linear-array transducer (L7-4 transducer, HDI-5000CV, Philips Ultrasound). Brachial artery diameter and centerline averaged peak velocity at the same vessel location measured with pulsed-wave spectral Doppler and angle correction software. Brachial artery blood flow was measured by the product of the cross sectional area and time-averaged peak velocity.

Contrast-enhanced Ultrasound

Harmonic power-Doppler imaging (HDI-5000cv, Philips Ultrasound) was performed at a transmission frequency of 3.7 MHz with a linear-array transducer at a mechanical index of 1.1- 1.2 and a pulse repetition frequency of 2.5 kHz. The deep forearm flexor muscles were imaged in the trans-axial plane one-third of the distance from the antecubital fossa to the wrist. Lipid-shelled octafluoropropane microbubbles (Definity, Bristol-Myers Squibb Medical Imaging) were infused intravenously at a rate of 0.12–0.16 mL/min. Intermittent imaging was performed using an internal timer and images were acquired at incremental pulsing intervals (PI) from 1 to 15 s. Video intensity (VI) was measured from a region-of-interest placed over the flexor digitorum profundus and flexor pollicus longus muscles. Averaged frames obtained at a PI of 1 s were digitally subtracted from averaged frames at longer PIs in order to eliminate signal from the majority of non-capillary vessels with a mean erythrocyte velocity >2.4 cm/s (22). Time versus VI data were fit to the function: y = A(1 – e−βt), where y is VI at time t; A is the plateau VI reflecting relative capillary blood volume, and β is the rate constant reflecting the capillary erythrocyte velocity (22,23).

Blood Rheologic Parameters

Erythrocyte deformability and whole blood viscosity, two rheologic factors that strongly influence vascular resistance at the capillary level (19,20), were measured from fasting blood samples. For erythrocyte deformability, 25 µl of citrated whole blood was placed in 5 ml of polyvinylpyrrolidone (5%) in phosphate-buffered saline. A laser-assisted optical rotational cell analyzer (LORCA, Mechatronics) was used to measure the erythrocyte elongation index (ratio of short- to long-axis dimension) at 37°C and a shear stress of 30 Pa. Whole blood viscosity at 37°C was measured with a rotational viscometer (EW-98936-00, Cole-Parmer) at a shear rate of 7.35 s−1.

Statistical Methods

Data were analyzed on SAS (version 9.1). Clinical characteristics were analyzed by the Fisher exact test or Chi-square analysis for frequency or percentage variables; one-way ANOVA for normally distributed variables with post-hoc testing of individual comparisons with paired t-test, or by the Wilcoxon rank-sum test for medians. Bonferroni correction was applied for these multiple comparisons. Pearson’s correlation coefficients and linear regression were used for assessing associations between pairs of continuous variables. Differences in perfusion data between groups and between conditions were analyzed using the mixed model approach to repeated measures incorporating baseline perfusion as a covariate. The covariates triglycerides, viscosity, and CRP were added one at a time, to the mixed models. The Tukey-Kramer adjustment for multiple comparisons was used for follow-up comparisons between diagnostic groups.

RESULTS

Clinical Characteristics

The baseline clinical characteristics for the three study groups are presented in Table 1. Body mass index, HgbA1c, and plasma insulin levels were higher in the two DM patient groups compared with healthy control individuals. All DM patients with microvascular complications had proteinuria as a complication criteria (median [intequartile range]: 474 [631] vs. 7 [11] µg/mg creatinine for DM+MC and DM cohorts, respectively; p=0.0001) while 75% also had a diagnosis of neuropathy. These patients tended to have a longer duration of disease, elevated serum triglycerides, and more severe insulin resistance reflected by the median HOMA index than other groups. Erythrocyte deformability was similar between cohorts (Figure 1A), but mean blood viscosity was significantly elevated in DM+MC patients compared to the control group (Figure 1B). Blood viscosity correlated modestly with both plasma glucose and C-reactive peptide (Figure 1C and 1D) but not with serum triglycerides (p=0.51) or any other plasma lipid measurement.

Figure 1
Blood Rheology Data
TABLE 1
Clinical Characteristics and Laboratory Data

Exercise Performance and Brachial Blood Flow

Maximal handgrip force did not vary significantly between groups (median force of 26, 22 and 24 kg for control, DM and DM+MC subjects respectively). There was a small (6%) but not statistically significant increase in HR between baseline and maximal exercise measured in approximately two-thirds of patients which was not different between groups. Brachial artery blood flow (Figure 2) was similar between groups at baseline and during low- and high-intensity periodic handgrip exercise (25% and 80% maximal force). In all groups, brachial artery blood significantly increased over baseline only at the highest exercise intensity (80% maximal force).

Figure 2
Brachial Artery Blood Flow at Rest and During Exercise

Skeletal Muscle Perfusion

Illustrated in Figure 3 are background-subtracted CEU images from the proximal forearm flexor muscles and corresponding pulsing interval versus VI data at rest and during low- and high-intensity exercise in a control subject. During low-intensity periodic handgrip exercise, skeletal muscle blood flow (the product of the A and β values) increased due largely to an increase in CBV (A-value or plateau intensity), consistent with microvascular recruitment as the dominant vascular response. Further increases in blood flow during higher-intensity exercise were secondary to a further increase in CBV with an additional increase in capillary erythrocyte velocity (β-value). Figure 4 illustrates data from a DM+MC patient whereby blood flow in response to incremental exercise did not increase as much as in the control patient largely because of a blunted CBV (A-value) response.

Figure 3
Contrast-enhanced Ultrasound in a Control Subject
Figure 4
Contrast-enhanced Ultrasound in a Patient with Diabetes and Microvascular Complications

Data from all healthy control subjects showed a stepwise increase in skeletal muscle capillary blood flow with incremental levels of exercise (Figure 5A). Similar to previous observations (2), exercise-mediated changes in muscle capillary blood flow surpassed the corresponding changes in brachial artery blood flow (Figure 2), suggesting some redistribution of brachial artery flow within the limb during exercise. Capillary blood flow responses to exercise in patients with uncomplicated DM were not significantly different (p=0.52) from control subjects (Figure 5A). Flow responses were, however, impaired in DM+MC patients during both low- and high-intensity exercise (p<.001), the degree of which was similar for the two levels of exercise (p=0.59 for interaction between cohort and exercise level). Abnormal blood flow during exercise in the DM+MC group was attributable in part to a blunted CBV response (Figure 5B), suggesting an impairment in exercise-mediated capillary recruitment. Differences in capillary blood velocity between the control and DM+MC group were small and did not reach statistical significance (Figure 5C). Capillary recruitment in response to exercise, expressed as a percent change CBV from baseline was impaired in DM+MC patients versus healthy control subjects (p=0.02) (Figure 6). The degree of impairment was similar for low- and high-intensity exercise (p=0.91 for interaction of exercise level and cohort). Because of differences in baseline clinical variables, analysis was also performed with a two cohort comparison (DM and DM+MC). This analysis revealed a significant impairment in flow augmentation (p=0.03) and a borderline impairment in CBV augmentation (p=0.06) during both low- and high-intensity exercise in the DM+MC compared to DM patients, which was not influenced by the level of exercise.

Figure 5
Forearm Flexor Muscle Perfusion at Rest and During Exercise
Figure 6
Change in Capillary Blood Volume (CBV) During Exercise

Variables Associated with Capillary Response

Abnormal capillary responses to exercise in patients within the DM+MC were independent of disease duration. Although triglyceride, viscosity, and CRP values were significantly elevated in the DM+MC group and correlated with changes in CBV, none of these factors provided additional predictive information about capillary recruitment in response to exercise once baseline CBV, exercise level and cohort were accounted for in the model. Differences in the change in CBV between the DM+MC patients and healthy controls remained significant after adjusting for these factors suggesting that the differences in CBV response between groups were not due simply to any of these laboratory variables alone. Although there was a modest correlation between glucose levels and change in CBV (p=0.04 and p=0.07 for 25% and 80% exercise, respectively), adjustment for glucose levels in the model was not possible because of little overlap in glucose levels between the diagnostic groups. Neither history of hypertension nor systolic blood pressure at the time of perfusion imaging correlated with changes in CBV. For the two cohort comparison (DM and DM+MC) incorporation of age, CRP and serum viscosity in the model improved the overall p-value for comparison of flow response and CBV response, although the impact of each of these covariates in the model did not reach significance except for the influence of age on CBV.

DISCUSSION

The main findings of this study were that skeletal muscle capillary responses to periodic contractile exercise are preserved in subjects with well-controlled uncomplicated type-2 DM but are impaired in those with microvascular complications. In particular, changes in CBV were abnormal in those with microvascular complications, reflecting an underlying abnormality in microvascular recruitment during exercise. The degree of vascular impairment was similar for different degrees of exercise intensity.

Both insulin and skeletal muscle contractile exercise increase flow and insulin transport in skeletal muscle. There is accumulating evidence that abnormal flow responses may not just be a consequence of DM, but may also play a role in abnormal glucose storage and utilization. This idea originated from early studies where insulin was shown to increase limb blood flow in a dose-dependent fashion (24,25). Inhibitors of nitric oxide synthase (NOS) block this response (4,5). These agents also block insulin-mediated limb glucose uptake, supporting the notion that limb blood flow and glucose storage are coupled (6), although NO can also augment glucose uptake by increasing glucose transporter (GLUT-4) translocation (25). Vascular responses at the muscle capillary level have been examined with CEU imaging as well as other techniques such as capillary xanthine oxidase activity and microdialysis measurement of the capillary permeability-surface area product (3,8,17,22,26). These techniques have independently confirmed that hyperinsulinemia triggers a rapid increase in CBV. Capillary recruitment appears to be the dominant effect at the capillary level since microvascular blood velocity changes little with insulin (8,22). Changes in capillary recruitment are also NO-dependent (6) and are impaired in diabetic animals and obese insulin-resistant subjects (79).

The current study examined microvascular responses to contractile exercise in order to test whether there is a global impairment in capillary response in patients with DM. Skeletal muscle capillary perfusion during exercise in diabetic states has become a topic of focus because of its influence on exercise tolerance and glucose metabolism. Exercise has been shown to augment insulin-mediated glucose uptake, at least partially through an increase in muscle flow (16,27). The ability to distinguish changes in CBV and capillary erythrocyte velocity during muscle contraction was important because of the uncoupling of limb arterial inflow and muscle microvascular perfusion during exercise (2). For example in the current study exercise-mediated increases in microvascular flow in control subjects were out of proportion to changes in brachial artery inflow. More importantly, despite similar brachial artery blood flow responses between the study groups, microvascular perfusion was found to be markedly abnormal in patients with DM+MC.

In patients with DM who did not have microvascular complications, capillary flow responses to exercise were essentially normal. This was not an entirely unexpected result since skeletal muscle capillary blood flow responses to electrically-stimulated contraction are also normal in Zucker diabetic fatty rats despite an impairment in insulin-mediated capillary recruitment (17). Differences in microvascular response to exercise and hyperinsulinemia are likely due to different regulatory mechanisms. Skeletal muscle flow during exercise is complex and involves multiple biochemical pathways and hydrodynamic forces that have been the subject of comprehensive reviews (28). Whereas NO is requisite for normal insulin-mediated capillary recruitment, it does not participate in exercise-mediated microvascular recruitment and contributes only a minor role to exercise-mediated glucose uptake in a flow-independent fashion, possibly through transporter function (11,13).

Patients with microvascular complications of DM, all of whom had proteinuria as a qualifying criteria, responded to exercise in a different fashion than those with uncomplicated disease. In these patients capillary recruitment to contractile exercise was abnormal. The pathophysiologic basis for this finding is still undefined. We believe that a functional abnormality is more likely than morphologic capillary rarefaction since capillary recruitment was significantly impaired even at low-intensity (25%) contractile exercise before maximal CBV was reached. Although capillary responses were abnormal in the DM+MC group, brachial artery flow responses were normal. This finding implicates the distal microcirculation and possibly the inability to redistribute flow to muscle capillary beds from other limb tissues or non-nutritive pathways as the primary source of the defect.

The limited number of subjects did not allow for complex multivariate models to study all of the covariates that could possibly influence flow reserve. However, it was noted that patients with DM+MC were characterized by poorer control of plasma glucose and a greater degree of insulin resistance. Glucose levels correlated with blood viscosity which was highest in the DM+MC group. Blood viscosity is a critical determinant of flow at the capillary level and has been associated with the degree of insulin resistance and with diabetic complications (3032), including proteinuria which was a common criteria for all DM+MC patients in this trial (33). The pathophysiologic basis is probably multifactorial. The simple addition of D-glucose to blood or protein glycosylation does not appear to affect viscosity (34). Instead, it is more likely due to protein dysregulation associated with a heightened inflammatory state (35,36). This notion is supported by the relation we found between viscosity and CRP. As an alternative hypothesis, elevated CRP may have contributed to abnormal capillary responses through its actions to decrease endothelial NO synthase activity (37). Although there was a correlation between viscosity and flow parameters during exercise, our model suggested that none of these variables added significant predictive information to group identity. These data suggest that differences in capillary response between groups could not be explained solely on the basis of these factors but also that statistical power was likely limited by study size.

There are several other limitations of the study. The causal link between flow impairment and microvascular complications has not been proven and could probably only be achieved only by a large prospective study where the value of perfusion response is investigated in terms of predicting future complications. Defining the temporal relationship between perfusion abnormalities and complications is probably best suited to studies using controlled animal models of disease. Exercise perfusion was assessed only under fasting conditions. However, positron emission tomography studies have demonstrated that exercise-mediated augmentation in total blood flow is blunted in insulin-resistant subjects when exercise is performed under hyperinsulinemic conditions (16). We also did not estimate forearm muscle mass relative to other limb tissues which may have influenced flow responses.

In summary, we have demonstrated that capillary recruitment during low and high intensity exercise is impaired in patients with DM that have established microvascular complications of disease. Although our data suggest that rheologic abnormalities that are associated with the degree of insulin resistance may be responsible for these abnormalities, larger trials will be needed in order to control for the numerous clinical variables inherent in studying the diabetic population.

ACKNOWLEDGEMENTS

The authors would like to recognize Dr. Arthur Weltman and Judy Weltman for their contributions to study design.

Supported by NIH grants R01-HL-074443, R01-HL-078610 and R01-DK-063508 to Dr. Lindner; R01-DK-57878 to Dr. Barrett; and RR-00847 to the University of Virginia General Clinical Research Center from the National Institutes of Health, Bethesda, Maryland.

ABBREVIATIONS AND ACRONYMS

ABI
Ankle-brachial index
BMI
body mass index
CBV
capillary blood volume
CEU
contrast-enhanced ultrasound
CRP
C-reactive protein
DM
diabetes mellitus
DM+MC
diabetes mellitus with microvascular complications
HOMA
homeostatic model assessment
NO
nitric oxide
VI
videointensity

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Disclosures: The ultrasound contrast agent used in this study was provided by a material grant from Bristol Myers Squibb Medical Imaging.

REFERENCES

1. Bonnadonna RC, Saccomani MP, Del Prato S, et al. Role of tissue-specific blood flow and tissue recruitment in insulin-mediated glucose uptake of human skeletal muscle. Circulation. 1998;98:234–241. [PubMed]
2. Vincent M, Clerk LH, Lindner JR, et al. Mixed meal and light exercise each recruit capillaries in healthy humans. Am J Physiol. 2006;290:E1191–E1197. [PubMed]
3. Coggins MP, Lindner J, Rattigan S, et al. Physiologic hyperinsulinemia enhances human skeletal muscle perfusion by capillary recruitment. Diabetes. 2001;50:2682–2690. [PubMed]
4. Scherrer U, Randin D, Vollenweider P, Vollenweider L, Nicod P. Nitric oxide release accounts for insulin’s vascular effects in humans. J Clin Invest. 1994;94:2511–2515. [PMC free article] [PubMed]
5. Steinberg HO, Brechtel G, Johnson A, Fineberg N, Baron AD. Insulin-mediated skeletal muscle vasodilation is nitric oxide dependent. A novel action of insulin to increase nitric oxide release. J Clin Invest. 1994;94:1172–1179. [PMC free article] [PubMed]
6. Vincent MA, Barrett EJ, Lindner JR, Clark MG, Rattigan S. Inhibiting NOS blocks microvascular recruitment and blunts muscle glucose uptake in response to insulin. Am J Physiol Endocrinol Metab. 2003;285:E123–E129. [PubMed]
7. Clerk LH, Vincent MA, Barrett EJ, Lankford MF, Lindner JR. Skeletal muscle microvascular responses to insulin are abnormal in late-stage diabetes and are restored by angiotensin converting enzyme inhibition. Am J Physiol Endocrinol Metab. 2007;293:E1804–E1809. [PubMed]
8. Wallis MG, Wheatley CM, Rattigan S, Barrett EJ, Clark ADH, Clark MG. Insulin-mediated hemodynamic changes are impaired in muscle of Zucker obese rats. Diabetes. 2002;51:3492–3498. [PubMed]
9. Clerk LH, Vincent MA, Jahn L, Liu Z, Lindner JR, Barrett EJ. Obesity blunts insulin-mediated microvascular recruitment in human forearm skeletal muscle. Diabetes. 2006;55:1436–1442. [PubMed]
10. Laakso M, Edelman SV, Brechtel G, Baron AD. Decreased effect of insulin to stimulate skeletal muscle blood flow in obese man. A novel mechanism for insulin resistance. J Clin Invest. 1990;85:1844–1852. [PMC free article] [PubMed]
11. Bradley SJ, Kingwell BA, McConell GK. Nitric oxide synthase inhibition reduces leg glucose uptake but not blood flow during dynamic exercise in humans. Diabetes. 1999;48:1815–1821. [PubMed]
12. Ekeland U, Bjornberg J, Grande PO, Albert U, Mellander S. Myogenic vascular regulation in skeletal muscle in vivo is not dependent of endothelium-derive nitric oxide. Acta Physiol Scand. 1992;144:199–207. [PubMed]
13. Inyard A, Clerk LH, Vincentr MA, Barrett EJ. Contraction stimulates nitric oxide-independent microvascular recruitment and increases muscle insulin uptake. Diabetes. 2007;56:2194–2200. [PubMed]
14. Ross RM, Wadley RD, Clark MG, Rattigan S, McConell GK. Local nitric oxide synthase inhibition reduces skeletal muscle glucose uptake but not capillary blood flow during in situ muscle contraction in rats. Diabetes. 2007;56:2885–2892. [PubMed]
15. Bauer TA, Levi M, Reusch JEB, Regensteiner JG. Skeletal muscle deogygenation after the onset of moderate exercise suggests slowed microvascular blood flow kinetics in type 2 diabetes. Diabetes Care. 2007;30:2880–2885. [PubMed]
16. Hällsten K, Yki-Järvinen H, Peltoniemi P, et al. Insulin- and exercise-stimulated skeletal muscle blood flow and glucose uptake in obese men. Obes Res. 2003;11:257–265. [PubMed]
17. Wheatley CM, Rattigan S, Richards SM, Barrett EJ, Clark MG. Skeletal muscle contraction stimulates capillary recruitment and glucose uptake in insulin-resistant obese Zucker rats. Am J Physiol Endocrinol Metab. 2004;287:E804–E809. [PubMed]
18. Damon DH, Dulin BR. Evidence that capillary perfusion heterogeneity is not controlled in striated muscle. Am J Physiol Heart Circ Physiol. 1985;249:H386–H392. [PubMed]
19. Parthasarathi K, Lipowsky HH. Capillary recruitment in response to tissue hypoxia and its dependence on red blood cell deformability. Am J Physiol Heart Circ Physiol. 1999;277:H2145–H2157. [PubMed]
20. Pries AR, Secomb TW, Gaehtgens P. Biophysical aspects of blood flow in the microvasculature. Cardiovasc Res. 1996;32:654–667. [PubMed]
21. Boulton AJM, Vinik AI, Arezzo JC, et al. Diabetic neuropathies. A statement from the American Diabetes Association. Diabetes Care. 2005;28:956–962. [PubMed]
22. Dawson D, Vincent MA, Barrett EJ, et al. Vascular recruitment in skeletal muscle during exercise and hyperinsulinemia assessed by contrast ultrasound. Am J Physiol Endocrinol Metab. 2002;282:E714–E720. [PubMed]
23. Wei K, Jayaweera AR, Firoozan S, Linka A, Skyba DM, Kaul S. Quantification of myocardial blood flow with ultrasound-induced destruction of microbubbles administered as a constant venous infusion. Circulation. 1998;97:473–483. [PubMed]
24. Baron A. Hemodynamic actions of insulin. Am J Physiol Endocrinol Metab. 1994;267:E187–E202. [PubMed]
25. Roberts CK, Barnard RJ, Scheck SH, Balon TW. Exercise-stimulated glucose transport in skeletal muscle is nitric oxide dependent. Am J Physiol Endocrinol Metab. 1997;273:E220–E225. [PubMed]
26. Gudbjörnsdóttir, Sjöstrand M, Strindberg L, Lönnroth P. Decreased muscle capillary permeability surface area in type 2 diabetic subjects. J Clin Endocrinol. 2005;90:1078–1082. [PubMed]
27. DeFronzo RA, Ferrannini E, Sato Y, Felig P, Wahren J. Syngergistic interaction between exercise and insulin an peripheral glucose uptake. J Clin Invest. 1981;68:1468–1474. [PMC free article] [PubMed]
28. Delp MD, Laughlin MH. Regulation of skeletal muscle perfusion during exercise. Acta Physiol Scand. 1998;162:411–419. [PubMed]
29. Clifford PS, Hellsten Y. Vasodilatory mechanisms in contracting skeletal muscle. J Appl Physiol. 2004;97:393–403. [PubMed]
30. Cinar Y, Senyol AM, Duman K. Blood viscosity and blood pressure: role of temperature and hyperglycemia. Am J Hypertens. 2001;14:433–438. [PubMed]
31. Hoieggen A, Fossum E, Moan A, Enger E, Kjeldsen SE. Whole-blood viscosity and the insulin-resistant syndrome. J Hypertens. 1998;16:203–210. [PubMed]
32. McMillan DE. The effect of diabetes on blood flow properties. Diabetes. 1983;32 Suppl 2:56–63. [PubMed]
33. Simpson LO, Shand BI, Olds RJ. A reappraisal of the influence of blood rheology on glomerular filtration and its role in the pathogenesis of diabetic nephropathy. J Diabet Complications. 1987;1:137–144. [PubMed]
34. Bühler I, Walter R, Reinhart WH. Influence of D- and L-glucose on erythrocytes and blood viscosity. Eur J Clin Invest. 2001;31:79–85. [PubMed]
35. McMillan DE. Disturbance of serum viscosity in diabetes mellitus. J Clin Invest. 1974;53:1071–1079. [PMC free article] [PubMed]
36. Vestra MD, Mussap M, Gallina P, et al. Acute-phase markers of inflammation and glomerular structure in patients with type 2 diabetes. J Am Soc Nephrol. 2005;16:78–82. [PubMed]
37. Mineo C, Gormley AK, Yuhanna IS, et al. FcγRIIB mediates C-reactive protein inhibition of endothelial NO synthase. Circ Res. 2005;97:1124–1131. [PubMed]