scholarly journals Serum Osteoprotegerin Is a Potential Biomarker of Insulin Resistance in Chinese Postmenopausal Women with Prediabetes and Type 2 Diabetes

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Peng Duan ◽  
Min Yang ◽  
Meilin Wei ◽  
Jia Liu ◽  
Ping Tu
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Postmenopausal Women ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Glucose Regulation ◽  
Enzyme Linked Immunosorbent Assay ◽  
Potential Biomarker ◽  
Chinese Postmenopausal Women

The aim of this study is to investigate the circulating OPG levels in postmenopausal women with diabetes and prediabetes and explore the relationships between serum OPG and insulin resistance. A total of 271 unrelated Chinese postmenopausal women were recruited in this study. The subjects were divided into type 2 diabetes mellitus (T2DM) group (n=93), impaired glucose regulation (IGR) (n=90), and normal glucose regulation group (NGR) (n=88), according to different glucose regulation categories. Serum OPG levels were measured by enzyme-linked immunosorbent assay. The serum OPG concentration in NGR group, 151.00 ± 45.72 pg/mL, was significantly lower than that in IGR group (169.28 ± 64.91 pg/mL) (p=0.031) and T2DM group (183.20 ± 56.53 pg/mL) (p<0.01), respectively. In multiple linear regression analysis, HOMA-IR, age, 2hPG, AST, ALP, and eGFR were found to be independent predictors of OPG. Increased serum OPG levels (OR = 1.009,p=0.006) may be a risk factor for insulin resistance. The present study suggests that OPG might be implicated in the pathogenesis of diabetes and is a potential biomarker of insulin resistance in subjects with diabetes and prediabetes.

scholarly journals Increased Plasma DPP4 Activity Is Predictive of Prediabetes and Type 2 Diabetes Onset in Chinese Over a Four-Year Period: Result From the China National Diabetes and Metabolic Disorders Study

2014 ◽  
Vol 99 (11) ◽  
pp. E2330-E2334 ◽  
Author(s):  
Tianpeng Zheng ◽  
Yun Gao ◽  
Attit Baskota ◽  
Tao Chen ◽  
Xingwu Ran ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Confidence Interval ◽  
Proportional Hazards ◽  
Chinese Women ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Cox Proportional Hazards ◽  
Dipeptidyl Peptidase 4

Context: The significance of associations between prediabetes, type 2 diabetes, and dipeptidyl peptidase-4 (DPP4) activity in a Chinese population is not clear. Objective: The objective of the study was to determine whether DPP4 activity and active glucagon-like peptide-1 (GLP-1) were predictive of the onset of prediabetes and type 2 diabetes. Design, Setting, and Patients: This was a 4-year follow-up study conducted in Sichuan, China. A total of 474 Chinese women and men aged 18–70 years were studied. Main Outcome Measures: All subjects were divided into 3 groups (normal glucose tolerance, prediabetes, and type 2 diabetes) on the basis of their glucose metabolism status after 4 years. The DPP4 activity, active GLP-1, and glucagon were measured at baseline and 4 years later. Results: The baseline DPP4 activity was significantly higher in subjects who had progressed to prediabetes or type 2 diabetes compared with subjects who remained normoglycemic (P &lt; .01). In a multiple linear regression analysis, baseline DPP4 activity and active GLP-1 were independent predictors of an increase in insulin resistance over a 4-year period (P &lt; .05). Cox proportional hazards models revealed that DPP4 activity independently predicted the risk of developing prediabetes [relative risk 2.77 (95% confidence interval 1.38–5.55), P &lt; .01] and type 2 diabetes [5.10 (95% confidence interval 1.48–17.61), P &lt; .05] after adjustment for confounding risk factors. Conclusions: DPP4 activity is an important predictor of the onset of insulin resistance, prediabetes, and type 2 diabetes in apparently healthy Chinese individuals. This finding may have important implications for understanding the etiology of diabetes.

scholarly journals Plasma Periostin Levels Are Increased in Chinese Subjects with Obesity and Type 2 Diabetes and Are Positively Correlated with Glucose and Lipid Parameters

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Yuanyuan Luo ◽  
Hua Qu ◽  
Hang Wang ◽  
Huili Wei ◽  
Jing Wu ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Multiple Linear Regression Analysis ◽  
Chinese Patients ◽  
Model Assessment ◽  
Related Factors

The purpose of this study is to examine the relations among plasma periostin, glucose and lipid metabolism, insulin resistance and inflammation in Chinese patients with obesity (OB), and type 2 diabetes mellitus (T2DM). Plasma periostin levels in the T2DM group were significantly higher than the NGT group (P<0.01). Patients with both OB and T2DM had the highest periostin levels. Correlation analysis showed that plasma periostin levels were positively correlated with weight, waist circumference (WC), body mass index (BMI), waist-hip ratio (WHR), fasting plasma glucose (FPG), 2 h postchallenge plasma glucose (2 h PG), glycated hemoglobin (HbA1c), triglyceride (TG), total cholesterol (TC), fasting insulin (FINS), homeostasis model assessment of insulin resistance (HOMA-IR), TNF-α, and IL-6 (P<0.05or 0.001) and negatively correlated with high-density lipoprotein cholesterol (HDL-C) (P<0.001). Multiple linear regression analysis showed that TG, TNF-α, and HOMA-IR were independent related factors in influencing the levels of plasma periostin (P<0.001). These results suggested that Chinese patients with obesity and T2DM had significantly higher plasma periostin levels. Plasma periostin levels were strongly associated with plasma TG, chronic inflammation, and insulin resistance.

scholarly journals Association of Plasma Myeloperoxidase Level with Risk of Coronary Artery Disease in Patients with Type 2 Diabetes

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Ping Song ◽  
Jin Xu ◽  
Yongfeng Song ◽  
Shiliang Jiang ◽  
Haitao Yuan ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Logistic Analysis ◽  
Artery Disease

Aims. This study aimed to investigate whether the change of plasma myeloperoxidase (MPO) level would be associated with the incidence of coronary artery disease (CAD) among diabetic patients.Methods. 339 patients with type 2 diabetes mellitus (DM) underwent coronary angiography. Of them, 204 cases had CAD and were assigned to CAD group and 135 cases without CAD were assigned to non-CAD group.Results. Compared to non-CAD group, CAD group had higher level of plasma MPO (p<0.01). Multiple linear regression analysis showed that plasma MPO level was correlated with Gensini score. Multiple logistic analysis showed that the odds ratios for CAD across increasing tertiles of MPO level were 1.191 (0.971–1.547) and 1.488 (1.115–2.228) (p=0.048,p=0.009versus 1st tertile of MPO level, resp.) by adjusting for age, sex, and other conventional risk factors for CAD. The subjects were stratified into nine groups according to tertiles of MPO and HbA1c. The odds ratio for CAD was significantly higher in group with highest levels of MPO and HbA1c (OR = 4.08,p<0.01).Conclusion. Plasma MPO level was positively correlated with the degree of coronary artery stenosis in type 2 diabetic patients, and increasing blood glucose might amplify the association between MPO and CAD.

scholarly journals Association between plasma adipsin level and mild cognitive impairment in Chinese patients with type 2 diabetes: a cross-sectional study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Dan Guo ◽  
Yang Yuan ◽  
Rong Huang ◽  
Sai Tian ◽  
Jiaqi Wang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Large Scale ◽  
Chinese Patients ◽  
Enzyme Linked Immunosorbent Assay

Abstract Background The adipokine adipsin contributes to insulin resistance (IR), inflammation, and obesity, which are all regarded as high-risk factors for mild cognitive impairment (MCI) in patients with type 2 diabetes mellitus. This research aimed to uncover the role of adipsin in Chinese type 2 diabetes mellitus (T2DM) population with early cognitive dysfunction and determine whether adipsin contributes to diabetic MCI caused by IR. Methods In our study, 126 patients with T2DM were enrolled. The Montreal Cognitive Assessment (MoCA) was used to assess cognitive impairment. Demographic data and neuropsychological test results were evaluated. Plasma adipsin level was measured by enzyme-linked immunosorbent assay. Results The MCI group (n = 57) presented higher plasma adipsin levels compared with the healthy controls (p = 0.018). After adjustment for educational attainment, and age, begative correlations were found between plasma adipsin levels and MoCA, Mini Mental State Exam, and Verbal Fluency Test scores(r = − 0.640, p < 0.001; r = − 0.612, p < 0.001; r = − 0.288, p = 0.035; respectively). Correlation analysis demonstrated that adipsin levels were significantly positively correlated with fasting C-peptide; homeostasis model of assessment for insulin resistance (HOMA-IR) (r = 0.368, p < 0.001; r = 0.494, p < 0.001; respectively). Multivariable regression analysis further indicated that high plasma adipsin level was a significant independent determinant of MCI in the Chinese population withT2DM (p = 0.017). Conclusions Elevated plasma adipsin level was associated with MCI in Chinese T2DM patients. Further large-scale studies should be designed to determine whether adipsin is linked to IR-associated susceptibility to early cognitive decline in T2DM patients.

scholarly journals Association of Vitamin D with Type 2 Diabetes in Postmenopausal Females in Saudi Arabia

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Shatha Alharazy ◽  
Eman Alissa ◽  
Mohammed Ardawi ◽  
Susan Lanham-New ◽  
M. Denise Robertson
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Vitamin D ◽  
Saudi Arabia ◽  
Insulin Sensitivity ◽  
Postmenopausal Women ◽  
Cell Activity ◽  
Study Cohort ◽  
Model Assessment

AbstractVitamin D (vitD) deficiency has been suspected as a risk factor for type 2 diabetes mellitus (T2DM). It has been reported that an inverse relationship exists between vitD status and risk of T2DM. The aim of this study was to investigate whether there is an association between vitD status and glycemic profile and other metabolic parameters among postmenopausal women with T2DM (living in Saudi Arabia). A cross-sectional study was conducted at King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia. One thirty six (n = 136) postmenopausal females (age ≥ 50 years) living in Jeddah city, Saudi Arabia, with T2DM were randomly recruited in this study. Anthropometric measures, blood pressure readings and fasting blood samples were obtained fro all study participants. Several biochemical parameters were estimated in fasting serum samples including total 25(OH)D, HbA1c, insulin, glucose, c-peptide and lipid profile. Surrogate markers for insulin resistance were calculated using Homeostasis Model Assessment for insulin resistance and beta cell activity (HOMA-IR, HOMA-β), Quantitative insulin sensitivity check index (QUICK-I) and McAuley's index. VitD deficiency was defined as serum total 25(OH)D level below 20 ng/ml.The Mean (± SD) serum levels of total 25(OH)D were 13.8 ± 8.6 ng/ml with 79% of the study cohort being vitD deficient. Furthermore, serum total 25(OH)D levels were found to be inversely correlated with fasting insulin (r = -0.24, p = 0.029), HOMA-IR (r = -0.24, p = 0.03), and positively correlated with McAuley's index (r = 0.22, p = 0.048) and QUICK-I (r = 0.25, p = 0.024). In conclusion, vitD deficiency is highly prevalent among postmenopausal women with T2DM living in Jeddah, Saudi Arabia. VitD was found to be associated with insulin resistance. Whether vitD supplements are able to improve insulin sensitivity and other parameters in T2DM postmenopausal women should be further investigated.

P5299Epicardial obesity as a significant predictor of leptino and insulin resistance

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Ott ◽  
G A Chumakova
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Linear Regression Analysis ◽  
Clinical Manifestations ◽  
Visceral Obesity ◽  
Soluble Receptors ◽  
Correlation Relationship ◽  
Group 2 ◽  
The Right

Abstract Leptino (LR) and insulin resistance (IR) are significant predictors of atherosclerosis, thrombosis, type 2 diabetes. The effect of epicardial obesity (EO) (as a type of visceral obesity) on the formation of LR and IR is studied. Objective To study the effect of EO on the formation of LR and IR among men with arterial hypertension (AH). Materials and methods The study included 130 men 49.5±4.3 years old, with AH of 1–3 degrees and the absence of clinical manifestations of coronary heart disease and atherosclerosis of other localizations, type 2 diabetes with a BMI of 20–35 kg /m2 and abdominal obesity according to WC ≥94 cm. Patients were divided into two groups depending on the thickness of epicardial adipose tissue (EAT), measured behind the free wall of the right ventricle by echocardiography. Group 1 consisted of 60 patients with epicardial obesity (EAT ≥7 mm), group 2 included 70 patients without epicardial obesity (EAT <7 mm). All subjects assessed indicators of LR and IR: measured levels of serum leptin (SL), soluble receptors for leptin (SLR), free leptin index (FLI), calculated as the ratio SL/SLR (as the only currently existing marker LR); IR was estimated by calculating the HOMA-IR index. IR was diagnosed with the generally accepted HOMA-IR index >2.7. Results When comparing LR indices in the studied groups, higher average values of SL, FLI were observed in the group with EO (EAT ≥7 mm) than in the group without EO (EAT <7 mm): (SL = 32.16 ng/ml (26.7; 37.62) versus SL = 14.92 ng/ml (11.62; 18.22), p=0.01, respectively); (FLI = 1.67 (0.47; 2.87) versus FLI = 0.37 (0.28; 0.46), p=0.01, respectively). Also in the EO group, higher indices of the HOMA-IR index were observed compared with the group without EO: (2.16 (1.62; 2.66) versus 1.35 (1.06; 1.64), p=0,01, respectively). When conducting the correlation analysis between FLI (as a marker of LR) and various obesity indicators (BMI, WC, EO) in the studied groups, a significant positive correlation relationship between FLI and EO was found in both the first and second groups (r=0.67, p=0.01; r=0.62, p=0.01, respectively). The IR index HOMA-IR also significantly positively correlated with EO in the group with a EAT ≥7 mm (r=0.68, p=0.01). BMI and WC did not correlate with FLI, IR in both groups 1 and 2 (p>0.05). In the EO group, 11 patients had IR with a HOMA-IR index >2.7. Using the linear regression analysis, the regression equation was obtained and the value of EO was calculated, from which the IR with HOMA-IR >2.7 started to be determined. This figure was 9.5 mm. Conclusions EO (EAT ≥7 mm) is a significant predictor of LR and IR, unlike the generally accepted criteria for obesity (BMI, WC). A EAT ≥9.5 mm can be a significant predictor of the development of type 2 diabetes, so these patients need additional examinations.

scholarly journals The polycystic ovary syndrome per se is not associated with increased chronic inflammation

2004 ◽  
pp. 525-532 ◽  
Author(s):  
M Mohlig ◽  
J Spranger ◽  
M Osterhoff ◽  
M Ristow ◽  
AF Pfeiffer ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Fat Mass ◽  
Linear Regression Analysis ◽  
Diabetes Risk ◽  
Total Testosterone ◽  
Multivariate Linear Regression Analysis ◽  
Metabolic Alterations ◽  
Markers Of Inflammation

OBJECTIVE: The syndrome of polycystic ovaries (PCOS) is a known risk factor for type 2 diabetes. It is not known, however, whether the increase in diabetes risk is related to endocrine abnormalities associated with PCOS such as hyperandrogenemia, or whether it is a consequence of the anthropometric or metabolic alterations frequently observed in PCOS women. DESIGN: Since markers of inflammation are supposed to predict type 2 diabetes, interleukin-6 (IL-6) and C-reactive protein (CRP) in combination with parameters of obesity, insulin resistance and hyperandrogenism were determined in 57 PCOS women and in 20 age-matched healthy controls. In addition, the C-174G IL-6 promoter polymorphism was analyzed as a determinant in influencing IL-6, obesity, and androgen levels in women. RESULTS: Neither CRP nor IL-6 were significantly elevated in lean or obese PCOS women compared with age-matched lean or obese controls. In PCOS patients, variables of body composition (body mass index (BMI), waist to hip ratio, dual-energy X-ray-absorptiometry fat mass) and of insulin resistance were correlated with IL-6 or CRP, while parameters of hyperandogenism were not. Multivariate linear regression analysis revealed that obesity is the dominant force, thus explaining 18% and 24% of the IL-6 or CRP levels, respectively, in PCOS women. No association of IL-6 or BMI to a certain genotype at C-174G could be demonstrated in 50 PCOS patients. The heterozygous GC genotype, however, was associated with lower androstendione levels. Metformin treatment of 9 obese, insulin-resistant PCOS patients over a period of 6 months caused a significant decrease in body weight, body fat mass and total testosterone, but showed no significant decline in IL-6 or CRP concentrations. CONCLUSIONS: In PCOS women, plasma levels of IL-6 and CRP were not increased when compared with age- and BMI-matched controls. BMI was, however, the parameter most strongly related to IL-6 and CRP in PCOS; thus PCOS-related endocrine abnormalities do not appear to activate inflammatory parameters thereby enhancing the risk of diabetes. In PCOS, the type 2 diabetes risk may, therefore, be confined to those with obesity and/or metabolic alterations rather than affecting all women suffering from the syndrome.

scholarly journals Serum concentrations of asprosin in new-onset type 2 diabetes

2020 ◽  
Author(s):  
Shakiba Naiemian ◽  
Mohsen naeemipour ◽  
Mehdi Zarei ◽  
Ali Gohari ◽  
Mohammad Reza Behroozikhah ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Enzyme Linked Immunosorbent Assay ◽  
Control Group ◽  
Model Assessment ◽  
Serum Concentrations ◽  
Atherosclerotic Risk Factor

Abstract Background: Asprosin, a newly identified adipokine, is pathologically increased in individuals with insulin resistance. However, the available evidence on the association of asprosin and type 2 diabetes mellitus (T2DM) status is still scarce. Therefore, this study aimed to determine the relationship between serum concentrations of asprosin and T2DM status . Methods: This observational study was performed based on 194 adults (97 newly diagnosed T2DM and 97 healthy individuals). Anthropometric and biochemical variables were determined in all participants . Serum concentrations of asprosin were measured using enzyme-linked immunosorbent assay (ELISA). Results: In patients with T2DM, the serum concentrations of asprosin were significantly higher than the healthy controls (4.18 [IQR: 4.4] vs. 3.5 [IQR: 1.85], P< 0.001). The concentrations of asprosin were significantly correlated with body mass index (BMI) and fasting blood glucose (FBG) in healthy subjects and with BMI, FBG, hemoglobin A1c (HbA1c), homeostatic model assessment of insulin resistance (HOMA-IR), and quantitative insulin check index (QUICKI), triacylglycerol (TAG) and total cholesterol/ high-density lipoprotein cholesterol (TC/HDL-C) ratio in the T2DM group. In fully adjusted model, the odds ratio (OR) of T2DM with serum concentrations of asprosin was approximately 1.547 (95% CI 1.293-1.850, P< 0.001) compared to the control group . Multiple stepwise regression analysis indicated that FBG and HOMA-IR were independently associated with asprosin in T2DM. Conclusion : Our findings indicated that serum concentrations of asprosin are increased in patients with T2DM. Also, asprosin is correlated with insulin resistance and TC/HDL-C ratio (atherosclerotic risk factor of cardiovascular diseases) in patients with T2DM.

scholarly journals Gonadotropins and Their Association with the Risk of Prediabetes and Type 2 Diabetes in Middle-Aged Postmenopausal Women

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Anna Stefanska ◽  
Paulina Cembrowska ◽  
Justyna Kubacka ◽  
Magdalena Kuligowska –Prusinska ◽  
Grazyna Sypniewska
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Postmenopausal Women ◽  
Metabolic Disturbances ◽  
Group 4 ◽  
Increased Risk ◽  
Group 1 ◽  
Stimulating Hormone

Recent studies have suggested that a low concentration of follicle-stimulating hormone (FSH) is associated with a higher prevalence of metabolic disturbances in postmenopausal women. In this study, we aim to evaluate the association between FSH, luteinizing hormone (LH), and LH/FSH ratio values and the risk of insulin resistance (HOMA-IR >2.0), prediabetes (IFG), and type 2 diabetes in a 5-year prospective study in postmenopausal women. 114 postmenopausal women were divided into 4 groups: group 1 (baseline and follow-up normoglycemic women), group 2 (normoglycemic women at baseline progressing to IFG), group 3 (women with baseline and follow-up IFG), and group 4 (women with baseline IFG progressing to diabetes). Baseline and follow-up anthropometric measurements and blood collections were performed. Serum/plasma was assayed for glucose, HDL-C, TG, C-reactive protein (CRP), 17beta-estradiol, estrone, insulin, thyroid-stimulating hormone (TSH), FSH, and LH. Homeostatic model assessment of insulin resistance (HOMA-IR) and LH/FSH ratios were calculated. The baseline concentrations of FSH and LH statistically decreased across all four groups (the highest concentrations in group 1 and the lowest in group 4; p<0.001). A logistic regression analysis showed that a 1 SD decrease in the z-score of FSH concentration is associated with a threefold increased risk of IFG and a fivefold increased risk of HOMA-IR of >2.0 and diabetes. The LH concentration had odds ratio (OR) values about two times lower than the FSH concentration. The ORs of the LH/FSH ratio were only significant for IFG. In conclusion, FSH concentration is strongly associated with insulin resistance, prediabetes, and diabetes in postmenopausal women with normal or impaired fasting glucose. LH and the LH/FSH ratio are also related to metabolic disturbances after menopause, yet to a lesser extent.

scholarly journals Plasma C1q/TNF-Related Protein-3 (CTRP-3) and High-Mobility Group Box-1 (HMGB-1) Concentrations in Subjects with Prediabetes and Type 2 Diabetes

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Huili Wei ◽  
Hua Qu ◽  
Hang Wang ◽  
Huacong Deng
Keyword(s):  
Type 2 Diabetes ◽  
Glucose Tolerance ◽  
Linear Regression Analysis ◽  
High Mobility ◽  
Multiple Linear Regression Analysis ◽  
High Mobility Group ◽  
Oral Glucose ◽  
Model Assessment ◽  
Related Protein

Aims. To detect the association of C1q/TNF-related protein-3 (CTRP-3) and high-mobility group box-1 (HMGB-1) in subjects with prediabetes (pre-DM) and newly diagnosed type 2 diabetes (nT2DM).Methods. 224 eligible participants were included. The 75 g oral glucose tolerance test (OGTT) and several clinical parameters of metabolic disorders and cytokines were measured. All participants were divided into three groups: normal glucose tolerance (NGT,n=62), pre-DM (n=111), and nT2DM group (n=56).Results. Plasma CTRP-3 concentrations were significantly lower in subjects with pre-DM and nT2DM than that of the NGT group, while plasma HMGB-1 levels were higher in pre-DM and nT2DM group compared with the NGT group (P<0.05). A multiple linear regression analysis showed both plasma CTRP-3 and HMGB-1 concentrations were independently associated with homeostasis model assessment for insulin resistance (HOMA-IR) and interleukin-6 (IL-6) (P<0.05for all). Further multiple logistical regression analyses revealed that both plasma CTRP-3 and HMGB-1 levels were significantly associated with pre-DM and nT2DM after adjusting for several confounders (P<0.001for all).Conclusions. Circulating CTRP-3 and HMGB-1 concentrations might be promising biomarkers to predict prediabetes and type 2 diabetes.

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