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Departments of Clinical Research (M.-P.C., F.-M.C., D.-M.C., J.C.-R.T., Y.-J.L.) and Clinical Laboratory (H.-F.H.), Pingtung Christian Hospital, Pingtung, 90000 Taiwan; and Graduate Institute of Medicine (S.-J.S.), Kaohsiung Medical University, Kaohsiung 80307, Taiwan
Address all correspondence and requests for reprints to: Dr. Yau-Jiunn Lee, Department of Clinical Research, Pingtung Christian Hospital, No. 60 Da-Lien Road, Pingtung 90000, Taiwan. E-mail: t3275{at}ms25.hinet.net.
| Abstract |
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Objectives: In this study we investigated whether plasma visfatin level is altered in patients with type 2 diabetes mellitus (T2DM).
Design and Patients: Plasma visfatin as well as adiponectin and resistin concentrations were measured through ELISA in type 2 diabetic and nondiabetic subjects.
Results: A total of 61 patients with T2DM and 59 sex- and age-matched nondiabetic subjects were studied. Plasma visfatin was found to be elevated in patients with T2DM (31.9 ± 31.7 vs. 15.8 ± 16.7 ng/ml, P = 0.002). In contrast, adiponectin was decreased (4.3 ± 2.5 vs. 30.8 ± 10.3 µg/ml, P < 0.001), whereas plasma resistin level did not differ between the groups. Increasing concentrations of visfatin were independently and significantly associated with T2DM. Multiple logistic regression analysis revealed visfatin as an independent association factor for T2DM, even after full adjustment of known biomarkers. The association between adiponectin and T2DM was no longer significant after adjustments for body mass index or waist to hip ratio. In a multiple linear regression analysis, only waist to hip ratio was independently associated with plasma visfatin level.
Conclusion: Our results indicate that visfatin may play a role in the pathogenesis of T2DM.
| Introduction |
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, and IL-6, that modulate insulin sensitivity and appear to play an important role in the pathogenesis of insulin resistance, diabetes, dyslipidemia, inflammation, and atherosclerosis (2, 3, 4). However, the mechanisms by which fat tissue induces insulin resistance and the role of adipocytokines in the pathogenesis of T2DM have not been well established. Visfatin, also known as pre-B cell colony-enhancing factor, is a cytokine that is highly expressed in visceral fat and was originally isolated as a secreted factor that synergizes with IL-7 and stem cell factors to promote the growth of B cell precursors (5). Visfatin homologs have been identified in carp (6), invertebrate mollusks (7), and bacteria (8) as well as vertebrates, including humans and the mouse (9, 10). It has been postulated to play a role in innate immunity (7). However, the biological activity of visfatin is poorly understood. It is secreted by activated lymphocytes (5), monocytes, and neutrophils (11); stimulates the expression of IL-6 and IL-8 in amniotic cells (12); and prolongs neutrophil survival in clinical sepsis (11). Fukuhara et al. (13) recently found that visfatin expression in visceral fat is increased in obese subjects and that plasma concentrations of visfatin correlated much more strongly with the amount of visceral fat than that of sc adipose tissue. In the KKAy mouse, a model of obesity with T2DM, visfatin expression in visceral adipose tissue and plasma visfatin concentrations increased as obesity developed, whereas visfatin expression in sc fat and liver showed little change. In mice fed with a high-fat diet, visfatin expression in visceral mesenteric fat and plasma visfatin concentrations were higher than those in control animals.
Visfatin exerts insulin-mimetic effects that are dose dependent and quantitatively similar to those of insulin in stimulating muscle and adipocyte glucose transport and in inhibiting hepatocyte glucose production. Intravenous injection of recombinant visfatin in mice decreased plasma glucose in a dose-dependent fashion. In keeping with its insulin-mimetic effects, visfatin was as effective as insulin in reducing hyperglycemia in insulin-deficient diabetic mice. Visfatin was also found to be bound to and activate insulin receptor, causing receptor phosphorylation and the activation of downstream signaling molecules. However, visfatin and insulin did not compete for binding to the insulin receptor, indicating that the two proteins were recognized by different regions of the receptor (13). Thus, visfatin might play a role in glucose homeostasis and dysregulation in biosynthesis or signal transduction and might contribute to the pathogenesis of diabetes. To investigate the role of visfatin in diabetes, we measured plasma visfatin level as well as adiponectin and resistin in a Chinese population with T2DM.
| Subjects and Methods |
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From February 2004 to December 2004, diabetic patients who consecutively visited the Diabetic Clinic of Pingtung Christian Hospital were studied. Subjects without clinical evidence of major diseases were recruited from an unselected population that underwent routine medical check-up and were used as the control group. The definition of a nondiabetic is a subject who has a fasting plasma glucose level lower than 110 mg/dl and has no family history of T2DM. The diagnosis of T2DM was based on the World Health Organization criteria (14). Patients presenting with symptoms suggestive of type 1 diabetes, defined as diabetic ketoacidosis, acute presentation with heavy ketonuria (3+), or continuous requirement of insulin within 1 yr of diagnosis, were excluded (15). Patients who had had a diagnosis of urinary tract infection, urolithiasis, liver cirrhosis, congestive heart failure, macrovascular diseases, overt proteinuria, or other known major diseases were also excluded on the basis of interview, physical examination, and urinalysis. This case-control study was approved by the human research ethics committee of the hospital, and informed consent was obtained from each patient.
All of the study subjects were of Han Chinese origin and all lived in the same region at the time of the study. All of the patients underwent complete physical examination and routine biochemical analyses of blood and urine as well as an assessment of the presence and extent of macrovascular or microvascular complications. Anthropometric parameters measured included body mass index (BMI) and waist to hip ratio (WHR). Waist and hip circumferences were measured to the nearest 0.1 cm at the narrowest point between the lowest rib and the uppermost lateral border of the right iliac crest. The hips were measured at their widest point. Seated blood pressure were taken by a trained nurse with a digital automatic blood pressure monitor (model HEM-907; Omron, Omron, Japan) after the subjects had rested for 5 min.
Plasma biochemical parameters were also measured after overnight fasting including triglycerides, total cholesterol, low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), uric acid, creatinine, and glucose, which were measured by standard commercial methods on a parallel, multichannel analyzer (Hitachi 7170A, Tokyo, Japan) as our previous reports (16, 17). Patients who had smoked within 1 yr of the examination were considered current smokers. Those who had stopped smoking for more than 1 yr before the examination were considered nonsmokers.
Plasma visfatin, resistin, adiponectin, and insulin measurements
All of the blood samples were drawn after overnight fasting and plasma samples were kept at 80 C for subsequent assay. The concentrations of plasma visfatin and resistin were determined by commercial enzyme immunoassay kits (Phoenix Pharmaceuticals, Belmont, CA and Phoenix Pharmaceuticals, respectively). Adiponectin and insulin levels were determined by commercial solid-phase ELISA kits (B-Bridge International, Sunnyvale, CA, and BioSource, Nivelles, Belgium, respectively). The intraassay coefficients of variation were 2.42.7% for visfatin, 2.15.2% for resistin, 3.27.3% for adiponectin, and 3.45.7% for insulin. Samples were measured in duplicate in a single experiment. The homeostasis model assessment of insulin resistance (HOMAIR) was calculated from fasting insulin and glucose by the following equation: HOMAIR = insulin (microunits per milliliter) x glucose (mmol/liter)/22.5 (18).
Statistical methods
The data are shown as the mean ± SD. All of the statistical analyses were performed using the SAS software (release 8.0; SAS Institute, Cary, NC). Baseline characteristics of case and control subjects were compared by Students t test, Wilcoxons rank-sum test, or
2 test. The general linear modeling function analysis was used to control for potential confounders other than age (e.g. gender, BMI, WHR, and smoking status). Because the distributions of plasma visfatin, adiponectin, resistin, insulin, and HOMAIR values were skewed, logarithmically transformed values were used for statistical analysis. As our primary approach, we included plasma visfatin and adiponectin concentrations as continuous independent variables in the multivariable models.
The association of visfatin and adiponectin with diabetes was examined by multivariate logistic regression analysis that contained: 1) visfatin or adiponectin, age, and gender; 2) visfatin or adiponectin, age, gender, BMI, and WHR; 3) visfatin or adiponectin, age, gender, BMI, WHR, and blood pressure; 4) visfatin or adiponectin, age, gender, BMI, WHR, blood pressure, lipid profile, and smoking status. We further divided the distribution of visfatin in pooled data into tertile and used general linear and logistic regression models to estimate the significant trends across increasing tertile and to estimate the odds ratios (ORs) of diabetes in each tertile using the lowest tertile as the reference category. Multivariate adjusted ORs are presented with 95% confidence interval (CI).
Simple and multiple regression analyses were used to examine the association between plasma concentrations of visfatin or adiponectin and the values of other biomarkers. All of the statistical analyses were two sided, and P < 0.05 was considered significant.
| Results |
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| Discussion |
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The biological mechanisms involving visfatin in the pathogenesis of T2DM are not well understood. Visfatin as an adipokine has recently been identified and named as such because of its much greater expression in visceral fat than in sc adipose tissue (13). In keeping with its insulin-mimetic effects, visfatin was as effective as insulin in reducing hyperglycemia in insulin-deficient diabetic mice. Visfatin was also bound to and activated insulin receptors, causing receptor phosphorylation and the activation of the downstream signaling molecules.
Elevated visfatin level in patients with T2DM in this study may suggest the impairment of visfatin signaling in targets tissues or the dysregulation in biosynthesis or in response to hyperglycemia, hyperinsulinemia, or adipocytokines in state of diabetes. These need to be clarified by further studies. Plasma visfatin level was likewise significantly associated with HOMAIR in simple regression analysis but not in multiple regression analysis. Only WHR remained significantly associated with plasma visfatin level. On the other hand, plasma visfatin did not correlate with BMI and other biomarkers, such as blood pressure and lipid profile. This fact is consistent with findings that visfatin is mainly secreted in the visceral fat, not sc, and suggest that the pathogenetic mechanism of visfatin in T2DM is different from that of insulin resistance.
However, the physiological role and pathological implications of visfatin must be considered with some caution. Whereas plasma concentrations are lower than those of insulin, they do not fluctuate with nutritional state and have been suggested to be released from fat cells during lysis rather than being truly secreted (20). These reservations notwithstanding, it will be of great interest to follow future developments regarding both the mechanisms of production and action of visfatin and its possible implication in the pathophysiology of T2DM.
It is becoming clear that adipose tissue is not simply a reservoir for excess nutrients but an active and dynamic organ capable of expressing several cytokines and fat-derived peptides (2). More recently there has been increasing evidence of the association between insulin resistance and subclinical inflammation involving cytokines derived from adipose tissue or adipocytokines (2, 3, 4, 21). Knowledge of how these adipose tissue-derived factors influence metabolic and cardiovascular disease has recently expanded, and growing evidence implicates adipocyte-derived factors as major regulator of insulin resistance (21, 22). Interestingly, visfatin and not adiponectin or resistin levels were associated with T2DM.
Hypoadiponectinemia was reported in patients with obesity and T2DM (23). In the present study, we also observed decreased plasma adiponectin levels in patients with T2DM. As previously reported, plasma adiponectin levels correlated well with WHR, diastolic blood pressure, and fasting glucose levels (19, 24). Although studies observed a significant positive association between adiponectin and insulin sensitivity in nondiabetic subjects after adjusting for BMI or WHR (25), Kim et al. (26) reported that the association between plasma adiponectin and HOMAIR disappear after adjustment for sex, age, BMI, and WHR in patients with T2DM. These facts suggest that the association is largely explained by obesity-related factors that induce hypoadiponectinemia and indicate that adiponectin may not act directly on the pathogenesis of T2DM.
Resistin is identified in adipose tissue by the screening for molecules expressed during adipocyte differentiation and in response to an insulin-sensitizing drug. It has been suggested to play a part in the pathogenesis of insulin resistance and was thought to be a link between obesity and diabetes (27). Its effects on insulin resistance has been extensively investigated in mice (28, 29), whereas in humans its role in insulin resistance, obesity, and T2DM has been controversial (30, 31, 32). Our result shows that plasma resistin level is not different between the controls and type 2 diabetic subjects and supports the hypothesis that resistin may not play a role in the pathogenesis of T2DM.
Some limitations of this study need to be considered. The cross-sectional design limits our ability to infer a causal relationship between increased plasma visfatin level and T2DM. Our analyses are based on single measurements of blood visfatin, which may not reflect the relationship over time. It would be interesting to measure serial changes of plasma visfatin levels in obese, insulin-resistant, or prediabetic subjects to further clarify the role of visfatin in the pathogenesis of T2DM. Moreover, the cases studied in the present study are patients under a disease management program, and all are free of macrovascular and microvascular complications. Whether visfatin is related to plasma insulin or insulin resistance in these subjects is not determined. Further experiments designed to investigate the role of visfatin in association with insulin resistance will help clarify the role of visfatin in T2DM. Also, the blood samples were drawn without stopping the diabetic medication of diabetic patients. Hence, the effects of oral hypoglycemic drugs with plasma visfatin levels also need to be clarified.
In conclusion, our results of elevated visfatin in uncomplicated type 2 diabetic subjects indicate that visfatin may play a role in the pathogenesis of T2DM. However, further experiments need to be done to clarify the role of visfatin.
| Acknowledgments |
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| Footnotes |
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First Published Online October 18, 2005
Abbreviations: BMI, Body mass index; CI, confidence interval; HDL-C, high-density lipoprotein-cholesterol; HOMAIR, homeostasis model assessment of insulin resistance; LDL-C, low-density lipoprotein-cholesterol; OR, odds ratio; T2DM, type 2 diabetes mellitus; WHR, waist to hip ratio.
Received July 5, 2005.
Accepted October 7, 2005.
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