Relationships among resistin,adiponectin,and leptin and microvascular complications in patients with type 2 diabetes mellitus

Abstract

Objective

To investigate the relationships among serum resistin, adiponectin, and leptin and microvascular complications in patients with type 2 diabetes mellitus (T2DM).

Methods

A total of 120 patients with T2DM were divided into non-microangiopathy and microangiopathy groups. Sixty age- and sex-matched healthy subjects were used as a normal control (NC) group. Body height, body mass, waist circumference, and blood pressure were determined, and waist/hip ratio (WHR), body mass index, blood glucose, lipids, resistin, leptin, adiponectin, free fatty acids (FFA), high-sensitivity C-reactive protein (hs-CRP), fasting insulin, hemoglobin A1c, and homeostatic model assessment of insulin resistance (HOMA-IR) were compared among the three groups.

Results

Serum levels of resistin, leptin, FFA, and hs-CRP were significantly higher and levels of adiponectin were significantly lower in patients in the non-microangiopathy (n = 60) and microangiopathy groups (n = 60) compared with the NC group (n = 60). Serum resistin and leptin levels in patients with T2DM were positively correlated with WHR, hs-CRP, FFA, HOMA-IR, and triglycerides, but negatively correlated with high-density lipoprotein-cholesterol (HDL-C). Serum adiponectin levels in patients with T2DM were negatively correlated with WHR, hs-CRP, FFA, HOMA-IR, and triglycerides, but positively correlated with HDL-C.

Conclusion

Serum resistin, adiponectin, and leptin levels correlate with the occurrence of T2DM and microvascular complications.

Keywords

Resistin adiponectin leptin microvasculopathy type-2 diabetes diabetic complication

Introduction

Diabetic microangiopathy (DMAP) is a complication of diabetes involving pathological changes in the microvascular structure and function of tissues and organs, and includes diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy.¹ DMAP may gradually develop into atherosclerosis, hypertension, and peripheral vascular disease. It is therefore important to ensure the early prevention, identification, treatment, and monitoring of DMAP in patients with type 2 diabetes mellitus (T2DM).²

Several cytokines may affect insulin sensitivity and glucose metabolism. Resistin is secreted by adipocytes and leptin is an obesity gene-encoded protein, and both are related to abnormal diabetic metabolism,³ while adiponectin, which is secreted by mature adipocytes, can protect against cardiovascular disease.⁴ We explored the relationships among these three cytokines and the occurrence of microangiopathy in patients with T2DM and insulin resistance.

Materials and methods

Subjects

A total of 120 patients with T2DM treated at The First Affiliated Hospital of Hebei North University between December 2014 and December 2015 were recruited for this study. This research was approved by the Ethics Committee of The First Affiliated Hospital of Hebei North University. All patients agreed to participate by providing written informed consent.

Diabetes was diagnosed⁵ as a fasting plasma glucose (FPG) level >7.0 mmol/L and a 2-hour oral glucose tolerance test blood glucose level ≥11.1 mmol/L.

A diagnosis of DMAP included the following criteria: (1) diabetic nephropathy: urine albumin (µg)/urine creatinine (mg) ≥300 macroalbuminuria, 30–299 microalbuminuria; (2) diabetic retinopathy: nonproliferative retinopathy including phase I (microaneurysm), phase II (hard exudate and hemorrhagic spots), and phase III (cotton wool spot), and proliferative retinopathy including phase IV (retinal neovascularization and vitreous hemorrhage), phase V (fibroplasia), and phase VI (tractional detachment of retina); (3) diabetic neuropathy: peripheral neuropathy symptoms and reduced conduction velocity of motor and sensory nerves.

The exclusion criteria were chronic heart failure, myocardial infarction, acute cerebrovascular disease, severe liver dysfunction, uremia, Cushing’s syndrome, and malignancy.

Groups

The 120 patients were divided evenly into microangiopathy (MAP) and non-MAP groups. Sixty age- and sex-matched healthy subjects were included as the normal control (NC) group. Information regarding the trial was posted on our hospital’s website, allowing people who wanted to participate in the trial to contact us. The healthy subjects were selected from among these people.

Reagents and methods

Blood glucose and lipid kits were obtained from Ningbo Asia-Pacific Biotechnology Ltd. (Ningbo, China). Resistin, leptin, adiponectin, and free fatty acid (FFA) kits were from RapidBio (Richmond, VA, USA). All analyses were carried out according to the manufacturers’ instructions.

Observation indexes

Body height, body mass, waist circumference, and blood pressure were determined and body mass index (BMI) was calculated. Fasting venous blood was collected and centrifuged at 1509.3 × g, and FBG, triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels in the supernatant were measured using an AU5400 automatic biochemical analyzer (Hitachi Medical Corporation, Tokyo, Japan). Fasting insulin (FINS) was measured by radioimmunoassay, and hemoglobin A1c (HbA1c) was determined by colorimetry using appropriate kits (Cusabio, Houston, TX, USA). Serum resistin, leptin, adiponectin, and FFAs were detected by enzyme-linked immunosorbent assays (Cusabio). Homeostatic model assessment of insulin resistance (HOMA-IR) was calculated as = FPG × FINS/22.5.

Statistical analysis

Statistical analyses were carried out using SPSS Statistics for Windows, Version 17.0 (SPSS Inc., Chicago, IL, USA). Measured data were expressed as mean ± standard deviation. Numerical data were compared by χ² tests, variables were compared between groups by analysis of variance, and means were compared by t-tests. We also performed multivariate stepwise regression analysis using resistin, leptin, and adiponectin as dependent variables and BMI, WHR, FPG, FINS, HOMA-IR, and TG as independent variables. The significance level was set as P = 0.05.

Results

Patient characteristics

The patient characteristics are detailed in Table 1. The mean disease-progression times were 10.3 ± 2.4 years (range, 6–13 years) and 11.0 ± 2.1 years (range, 7–14 years) in the non-MAP and MAP groups, respectively.

Table 1.

Comparison of indexes in relation to presence of diabetic microangiopathy in patients with type 2 diabetes mellitus.

Item	NC group	Non-MAP group	MAP group	F	P
Sex (M/F)	34/26	33/27	36/24	3.124	0.360
Age (years)	49.15 ± 4.60	51.21 ± 5.43	50.62 ± 4.61	0.907	0.409
BMI (kg/m²)	24.14 ± 2.68	24.55 ± 2.84	25.98 ± 2.37	2.5923	0.083
WHR	0.75 ± 0.16	0.92 ± 0.07*	0.99 ± 0.05*^,†	26.758	<0.001
SBP (mmHg)	124.55 ± 18.20	126.06 ± 18.57	127.54 ± 19.57	0.122	0.885
DBP (mmHg)	65.37 ± 6.58	66.27 ± 9.54	66.84 ± 9.06	0.147	0.863
FPG (mmol/L)	4.67 ± 0.88	8.02 ± 2.05*	8.81 ± 2.30*	15.275	<0.001
HbA1c (g/L)	5.73 ± 0.18	7.09 ± 1.83*	8.16 ± 1.76*^,†	13.270	<0.001
FINS (mU/L)	0.90 ± 0.25	1.04 ± 0.40*	1.26 ± 0.40*^,†	4.990	0.010
HOMA-IR	0.33 ± 0.24	0.56 ± 0.39*	0.77 ± 0.40*^,†	7.594	0.001
TC (mmol/L)	4.92 ± 1.16	5.33 ± 1.01	5.43 ± 0.95	1.295	0.281
TG (mmol/L)	1.90 ± 1.05	2.45 ± 0.73*	2.86 ± 1.14*^,†	4.582	0.014
HDL-C (mmol/L)	1.25 ± 0.29	1.17 ± 0.38	1.02 ± 0.23*	2.808	0.068
LDL-C (mmol/L)	2.49 ± 0.73	2.54 ± 0.77	2.64 ± 0.76	0.198	0.820
FFA (mmol/L)	1.25 ± 0.48	2.32 ± 0.56*	2.63 ± 0.43*	6.986	<0.001
Hs-CRP (mg/L)	1.53 ± 1.70	3.52 ± 2.19*	4.33 ± 2.76*^,†	7.863	<0.001
Resistin (ng/mL)	1.80 ± 1.33	3.26 ± 1.85*	4.61 ± 2.08*^,†	4.384	<0.001
Leptin (ng/mL)	0.95 ± 0.04	1.83 ± 0.09*	3.10 ± 0.15*^,†	2.103	<0.001
Adiponectin (µg/mL)	5.35 ± 0.14	3.57 ± 0.11*	1.61 ± 0.12*^,†	4.400	<0.001

*P < 0.05 compared with NC group; ^†P < 0.05 compared with non-MAP group.

NC, normal control; MAP, microangiopathy; M, male; F, female; BMI, body mass index; WHR, waist-hip ratio; SBP, systolic blood pressure; DBP, diastolic blood pressure; FPG fasting plasma glucose; HbA1c, hemoglobin A1c; FINS, fasting insulin; HOMA-IR, homeostatic model assessment of insulin resistance; TC, total cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FFA, free fatty acids; Hs-CRP, high-sensitivity C-reactive protein.

General condition and related indexes

The waist-hip ratio (WHR), FPG, HbA1c, FINS, HOMA-IR, TG, FFA, and high-sensitivity C-reactive protein (hs-CRP) levels were all significantly increased in the MAP and non-MAP groups compared with the NC group (P < 0.05), and WHR, FINS, HOMA-IR, HbA1c, and TG levels were all significantly increased in the MAP compared with the non-MAP group (P < 0.05) (Table 1).

Comparison of serum resistin, leptin, and adiponectin levels

Serum resistin and leptin levels were significantly higher in the MAP and non-MAP groups compared with the NC group (P < 0.05), and were significantly higher in the MAP compared with the non-MAP group (P < 0.05). In contrast, serum adiponectin levels were significantly lower in the MAP and non-MAP groups compared with the NC group (P < 0.05), and significantly lower in the MAP compared with the non-MAP group (Table 1).

Correlation analyses of resistin, leptin, and adiponectin levels

Serum resistin and leptin levels were positively correlated with FFA (P = 0.001 and P < 0.001, respectively), hs-CRP (both P < 0.001), WHR (P = 0.036 and P = 0.005, respectively), TG (P = 0.014 and P = 0.011, respectively), and HOMA-IR levels (P = 0.002 and P < 0.001, respectively), and were negatively but not significantly correlated with HDL-C levels. Furthermore, adiponectin levels were negatively correlated with FFA (P = 0.003), hs-CRP (P = 0.002), WHR (P = 0.022), TG (P = 0.009), and HOMA-IR (P < 0.001), and positively but not significantly correlated with HDL-C levels. However, none of the three cytokines were correlated with BMI, TC, LDL-C, systolic blood pressure (SBP), or diastolic blood pressure (DBP). In addition, serum resistin and leptin levels were significantly positively correlated with each other (r = 0.545, P < 0.001), and both were significantly negatively correlated with adiponectin levels (r = −0.429, P < 0.001; r = −0.469, P < 0.001, respectively) (Table 2).

Table 2.

Correlations between serum resistin, leptin, and adiponectin and related indexes in patients with type 2 diabetes mellitus.

Item	Resistin		Adiponectin		Leptin
Item	r	P	r	P	r	P
BMI	0.945	0.211	0.978	0.130	0.854	0.347
WHR	0.217	0.036	0.242	0.022	−0.350	0.005
FINS	0.989	0.096	0.999	0.014	0.944	0.213
HOMA-IR	1.000	0.002	0.551	<0.001	−0.495	<0.001
TC	0.951	0.200	0.903	0.281	0.923	0.250
TG	0.314	0.014	0.335	0.009	−0.340	0.011
HDL-C	−0.981	0.125	0.997	0.074	0.992	0.076
LDL-C	0.977	0.135	0.996	0.054	0.815	0.393
FFA	0.378	0.001	0.351	0.003	−0.402	<0.001
Hs-CRP	0.384	<0.001	0.360	0.002	−0.473	<0.001
Leptin	0.545	<0.001	–	–	−0.469	<0.001
Adiponectin	−0.429	<0.001	–	–	–	–

BMI, body mass index; WHR, waist-hip ratio; FINS, fasting insulin; HOMA-IR, homeostatic model assessment of insulin resistance; TC, total cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FFA, free fatty acids; Hs-CRP, high-sensitivity C-reactive protein.

Multivariate stepwise regression analysis

Multivariate stepwise regression analysis using resistin, leptin, and adiponectin as dependent variables and BMI, WHR, FPG, FINS, HOMA-IR, and TG as independent variables (Tables 3–5) showed that HOMA-IR and WHR had the greatest influences on resistin, leptin, and adiponectin.

Table 3.

Multiple stepwise regression analysis with resistin as the dependent variable.

Variable	B	SE	β	t	P
Constant	−0.194	0.267	–	−22.932	0.028
HOMA-IR	6.495	3.9856	1.017	24.715	0.002
WHR	−0.199	2.687	−0.017	18.031	0.007
FINS	0.836	2.835	1.397	1.302	0.309
TC	0.083	1.962	2.847	0.974	0.673
TG	1.386	2.087	2.496	0.869	0.868
HDL-C	−0.034	1.134	−0.551	−1.004	0.392
LDL-C	0.836	2.947	0.964	1.639	0.205
FFA	0.370	1.838	0.986	1.103	0.397
Hs-CRP	1.349	3.266	2.973	1.559	0.109

SE, standard error; HOMA-IR, homeostatic model assessment of insulin resistance; WHR, waist-hip ratio; FINS, fasting insulin; TC, total cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FFA, free fatty acids; Hs-CRP, high-sensitivity C-reactive protein.

Table 4.

Multiple stepwise regression analysis with leptin as the dependent variable.

Variable	B	SE	β	t	P
Constant	−2.458	3.5216	–	−10.213	0.001
HOMA-IR	7.872	4.2163	1.603	8.264	0.006
WHR	−5.474	1.0114	−0.625	6.324	0.026
FINS	0.003	2.486	0.001	1.422	0.235
TC	1.110	4.826	1.883	0.992	0.076
TG	0.983	5.936	0.919	0.815	0.393
HDL-C	−1.118	3.463	−2.452	1.882	0.081
LDL-C	1.005	3.927	0.998	1.118	0.502
FFA	0.982	2.947	1.093	1.720	0.081
Hs-CRP	0.863	4.973	1.013	1.207	0.106

Table 5.

Multiple stepwise regression analysis with adiponectin as the dependent variable.

Variable	B	SE	β	t	P
Constant	5.916	1.258	–	30.736	0.021
HOMA-IR	−10.643	3.254	−1.252	−18.495	0.034
WHR	3.929	6.215	0.259	50.23	0.001
FINS	0.003	1.342	0.032	0.813	0.793
TC	0.236	1.332	0.553	0.989	0.763
TG	−1.101	2.342	−0.352	1.106	0.542
HDL-C	0.992	3.235	0.298	0.991	0.673
LDL-C	0.454	2.866	1.452	1.118	0.342
FFA	0.429	3.836	2.937	0.996	0.791
Hs-CRP	0.891	3.987	0.873	1.392	0.104

Discussion

Resistin strongly affects insulin and promotes elevated blood glucose, adipocyte proliferation, and obesity.^6,7 Shanker et al.⁵ reported that leptin upregulated expression levels of matrix metalloproteinases 2 and 9 and tissue inhibitor matrix metalloproteinase 1 in endothelial cells and promoted extravascular matrix recombination, resulting in atherosclerosis. Leptin may also affect vascular calcification.^8–10 Adiponectin is negatively correlated with body lipid content and can correct glucose and lipid disorders, reduce inflammation and insulin sensitivity, and inhibit the development of AS.^11–13

We found that serum levels of resistin, leptin, FFA, and hs-CRP were significantly higher in patients with T2DM compared with healthy subjects, and resistin, leptin, and hs-CRP were also significantly higher in the MAP compared with the non-MAP group. In contrast, adiponectin levels were significantly decreased in the non-MAP and MAP groups compared with the NC group, and were significantly lower in the MAP compared with the non-MAP group. These results were consistent with the study of Fang et al.,^14,15 indicating crucial roles for serum resistin, leptin, and adiponectin in the incidence and evolution of DMAP.

Serum resistin and leptin were also positively correlated with FFA, hs-CRP, WHR, TG, and HOMA-IR, while adiponectin was negatively correlated with these same parameters. However, although WHR can affect resistin, leptin, and adiponectin levels, it was not considered as a confounding factor when comparing resistin, leptin, and adiponectin levels among the groups in this study, and this should be accounted for in future studies. In addition, the sample size in the current study was small. Furthermore, the use of fewer variables may produce more confirmative results. We also did not explore the mechanisms responsible for the phenomena observed in this study. These limitations should be addressed in future studies.

In conclusion, WHR, FINS, HOMA-IR, HbA1c, and TG were all significantly increased in patients with T2DM and MAP. Serum resistin and leptin were positively correlated with WHR, hs-CRP, FFA, HOMA-IR, and TG, but negatively correlated with HDL-C, while serum adiponectin was negatively correlated with WHR, hs-CRP, FFA, HOMA-IR, and TG, but positively correlated with HDL-C. Serum resistin was positively correlated with leptin, but negatively correlated with adiponectin. In conclusion, serum resistin, adiponectin, and leptin levels are correlated with the occurrence of T2DM and microvasculopathy complications.

Footnotes

Declaration of conflicting interest

The authors declare that there is no conflict of interest.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

ORCID iD

Yi-Cheng Wang

References

Zhang

Chen

Xie

, et al. Homocysteine activates vascular smooth muscle cells by DNA demethylation of platelet-derived growth factor in endothelial cells. J Mol Cell Cardiol 2012; 53: 487–496.

Stehouwer

CDA.

Microvascular dysfunction and hyperglycemia: A vicious cycle with widespread consequences.

Diabetes 2018; 67: 1729–1741.

Emamalipour

Seidi

Jahanban-Esfahlan

, et al. Implications of resistin in type 2 diabetes mellitus and coronary artery disease: Impairing insulin function and inducing pro-inflammatory cytokines. J Cell Physiol 2019; 234: 21758–21769.

Gruzdeva

Akbasheva

Dyleva

, et al. Adipokine and cytokine profiles of epicardial and subcutaneous adipose tissue in patients with coronary heart disease. Bull Exp Biol Med 2017; 163: 608–611.

World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF consultation. Geneva: World Health Organization, 2006, p.1.

Tan

Adya

Chen

, et al. Metformin decreases angiogenesis via NF-kappaB and Erk1/2/Erk5 pathways by increasing the antiangiogenic thrombospondin-1. Cardiovasc Res 2009; 83: 566–574.

Menzaghi

Bacci

Salvemini

, et al. Serum resistin, cardiovascular disease and all-cause mortality in patients with type 2 diabetes. PLoS One 2014; 8: e64729–e64738.

Pattillo

Bir

Branch

, et al. Dipyridamole reverses peripheral ischemia and induces angiogenesis in the Db/Db diabetic mouse hind-limb model by decreasing oxidative stress. Free Radic Biol Med 2011; 50: 262.

Shanker

Rao

Ravindran

, et al. Relationship of adiponectin and leptin to coronary artery disease, classical cardiovascular risk factors and atherothrombotic biomarkers in the IARS cohort. Thromb Haemost 2012; 108: 769–780.

10.

Noda

Nakao

Zandi

, et al. Retinopathy in a novel model of metabolic syndrome and type 2 diabetes: new insight on the inflammatory paradigm. FASEB J 2014; 28: 2038–2046.

11.

Ouchi

Walsh

Cardiovascular and metabolic regulation by the adiponectin/C1q/tumor necrosis factor-related protein family of proteins.

Circulation 2012; 125: 3066–3068.

12.

Song

Guo

Zhong

, et al. Therapeutic window of globular adiponectin against cerebral ischemia in diabetic mice: the role of dynamic alteration of adiponectin/adiponectin receptor expression. Sci Rep 2015; 5: 17310.

13.

Potenza

Sgarra

Nacci

, et al. Activation of AMPK/SIRT1 axis is required for adiponectin-mediated preconditioning on myocardial ischemia-reperfusion (I/R) injury in rats. PLoS One 2019; 14: e0210654.

14.

Schrover

van der Graaf

Spiering

, et al. The relation between body fat distribution, plasma concentrations of adipokines and the metabolic syndrome in patients with clinically manifest vascular disease. Eur J Prev Cardiol 2018; 25: 1548–1557.

15.

Olivera Santa-Catalina

Redondo

Cantonero

, et al. New insights into adipokines as potential biomarkers for type-2 diabetes mellitus. Curr Med Chem 2017. doi: 10.2174/0929867325666171205162248.