Development and validation of a simple and practical model for early detection of diabetic macular edema in patients with type 2 diabetes mellitus using easily accessible systemic variables.

OBJECTIVE: Diabetic macular edema (DME) is the leading cause of visual impairment in patients with diabetes mellitus (DM). The goal of early detection has not yet achieved due to a lack of fast and convenient methods. Therefore, we aim to develop and validate a prediction model to identify DME in patients with type 2 diabetes mellitus (T2DM) using easily accessible systemic variables, which can be applied to an ophthalmologist-independent scenario. METHODS: In this four-center, observational study, a total of 1994 T2DM patients who underwent routine diabetic retinopathy screening were enrolled, and their information on ophthalmic and systemic conditions was collected. Forward stepwise multivariable logistic regression was performed to identify risk factors of DME. Machine learning and MLR (multivariable logistic regression) were both used to establish prediction models. The prediction models were trained with 1300 patients and prospectively validated with 104 patients from Guangdong Provincial People's Hospital (GDPH). A total of 175 patients from Zhujiang Hospital (ZJH), 115 patients from the First Affiliated Hospital of Kunming Medical University (FAHKMU), and 100 patients from People's Hospital of JiangMen (PHJM) were used as external validation sets. Area under the receiver operating characteristic curve (AUC), accuracy (ACC), sensitivity, and specificity were used to evaluate the performance in DME prediction. RESULTS: The risk of DME was significantly associated with duration of DM, diastolic blood pressure, hematocrit, glycosylated hemoglobin, and urine albumin-to-creatinine ratio stage. The MLR model using these five risk factors was selected as the final prediction model due to its better performance than the machine learning models using all variables. The AUC, ACC, sensitivity, and specificity were 0.80, 0.69, 0.80, and 0.67 in the internal validation, and 0.82, 0.54, 1.00, and 0.48 in prospective validation, respectively. In external validation, the AUC, ACC, sensitivity and specificity were 0.84, 0.68, 0.90 and 0.60 in ZJH, 0.89, 0.77, 1.00 and 0.72 in FAHKMU, and 0.80, 0.67, 0.75, and 0.65 in PHJM, respectively. CONCLUSION: The MLR model is a simple, rapid, and reliable tool for early detection of DME in individuals with T2DM without the needs of specialized ophthalmologic examinations.

Body Roundness Index Is a Superior Obesity Index in Predicting Diabetes Risk Among Hypertensive Patients: A Prospective Cohort Study in China.

Objective: Individuals with both hypertension and diabetes have been confirmed to significantly increase the risk of cardiovascular disease morbidity and mortality compared with those with only hypertension or diabetes. This study aimed to evaluate the potential of different anthropometric indices for predicting diabetes risk among hypertensive patients. Methods: The study group consisted of 6,990 hypertensive adults without diabetes who were recruited in China. Demographic and clinical assessment, physical examinations, laboratory tests, and anthropometric measurements, including body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and novel indices (ABSI, AVI, BAI, BRI, CI, WWI, and WHHR), were performed at baseline and during the (median) 3-year follow-up. Cox regression analyses were conducted to estimate effects from these indices for the onset of diabetes. Receiver operator characteristic (ROC) analyses were conducted to assess the predictive capacities of the anthropometric indices and determine the optimal cut-points. Results: A total of 816 (11.7%) developed diabetes during our prospective study. Multivariate Cox regression analyses revealed weight, WC, WHR, WHtR, BAI, BRI, and WWI as the independent risk factor for diabetes among hypertensive patients, regardless of whether it was treated as a continuous or categorical variable (P < 0.05). Further Cox analyses combining BMI and different central obesity indices showed that elevated WC, WHR, WHtR, AVI, BRI, CI, regardless of the general obesity status, were found to be each independently associated with increased diabetes risk (P < 0.05). Dynamic increases of BRI < 5.24 to BRI ≥ 5.24 were associated with increased risk (HR = 1.29; 95% CI, 1.02, 1.64), and its reversal was associated with reduced risk (HR = 1.56; 95% CI, 1.23, 1.98) compared with the others (HR = 1.95; 95% CI, 1.63, 2.32). ROC analysis indicated that the areas under the ROC curves (AUC) of the anthropometric indices ranged from 0.531 to 0.63, with BRI (cut-off value = 4.62) and WHtR having the largest area. Conclusions: Based on this novel study, BRI was the most superior predictor and independent determinant for diabetes onset among the hypertensive population. Hypertensive patients with BRI > 4.62, regardless of general obesity status, were at high risk of diabetes. Thus, the prompt screening and diagnosis of diabetes should be carried out among these patients for timely integrated intervention.

Association of Anthropometric Indices With the Development of Diabetes Among Hypertensive Patients in China: A Cohort Study.

Background: Patients with comorbidity of hypertension and diabetes are associated with higher morbidity and mortality of cardiovascular disease than those with hypertension or diabetes alone. The present study aimed to identify anthropometric risk factors for diabetes among hypertensive patients who were included in a retrospective cohort study. Methods: Hypertensive adults without diabetes were recruited in China. Demographic, clinical, biochemical, and anthropometric indices were collected at baseline and during the follow-up. Anthropometric measures included BMI, waist circumference, waist-to-height ratio (WHtR), and waist-to-hip ratio, and several novel indices. To estimate the effect of baseline and dynamic changes of each anthropometric index on risk of new-onset diabetes (defined as self-reported physician-diagnosed diabetes and/or use of hypoglycemic medication, or new-onset FPG≥7.0 mmol/L during follow-up), Cox regression models were used. Results: A total of 3852 hypertensive patients were studied, of whom 1167 developed diabetes during follow-up. Multivariate Cox regression analyses showed that there was a graded increased risk of incident diabetes with successively increasing anthropometric indices mentioned above (all P<0.05). Regardless of the baseline general obesity status, elevated WHtR was both related to higher risk of diabetes; the HRs (95%CI) of baseline BMI<24 kg/m2 & WHtR≥0.5 group and BMI≥24 kg/m2 & WHtR≥0.5 group were 1.34 (1.05, 1.72), 1.85 (1.48, 2.31), respectively. Moreover, the dynamic changes of WHtR could sensitively reflect diabetes risk. Diabetes risk significantly increased when patients with baseline WHtR<0.5 progressed to WHtR≥0.5 during the follow-up (HR=1.63; 95%CI, 1.11, 2.40). There was also a decreasing trend towards the risk of incident diabetes when baseline abnormal WHtR reversed to normal at follow-up (HR=1.93; 95%CI, 1.36, 2.72) compared with those whose WHtR remained abnormal at follow-up (HR=2.04; 95%CI, 1.54, 2.71). Conclusions: Central obesity is an independent and modifiable risk factor for the development of diabetes among hypertensive patients. Measuring indices of central obesity in addition to BMI in clinics could provide incremental benefits in the discrimination of diabetes among Chinese hypertensive patients. Dynamic changes of WHtR could sensitively reflect changes in the risk of diabetes. Therefore, long-term monitoring of hypertensive patients using non-invasive anthropometric measures and timely lifestyle intervention could effectively reduce the development of diabetes.

Serum LBP Is Associated with Insulin Resistance in Women with PCOS.

INTRODUCTION: Lipopolysaccharide-binding protein (LBP) is closely associated with many metabolic disorders. However, no study has been done to explore the relationship between LBP and polycystic ovary syndrome (PCOS). The objective of this study was to investigate whether the serum LBP level is elevated and associated with insulin resistance (IR) in PCOS. PARTICIPANTS AND DESIGN: In this cross-sectional study, 117 PCOS patients and 121 age-matched controls were recruited. Hyperinsulinemic-euglycemic clamp was performed with an expression of M value for insulin sensitivity. Fasting serum samples were collected to detect LBP, lipids, insulin, sex hormones and high sensitive C reactive protein (hs-CRP). Pearson's correlation and multiple linear regression was used to analyze the associations between M value and LBP level. SETTINGS: The study was performed in a clinical research center. RESULTS: Compared with controls, PCOS subjects had a significantly higher LBP concentration (33.03±14.59 vs. 24.35±10.31 µg/ml, p<0.001), and lower M value (8.21±3.06 vs. 12.31±1.72 mg/min/kg, p<0.001). Both in lean and overweight/obese individuals, serum LBP level was higher in PCOS subjects than that in controls. M value was negatively correlated with body mass index (BMI), fasting serum insulin, triglycerides, low-density lipoprotein cholesterol (LDL-c), free testosterone, high sensitive C reactive protein (hs-CRP) and LBP, whereas positively correlated with high-density lipoprotein cholesterol (HDL-c) and sex hormone binding globulin (SHBG). Serum LBP level was associated with M value after adjusting for BMI, fasting serum insulin, SHBG, as well as hs-CRP. CONCLUSION: Serum LBP level significantly is elevated in PCOS, and is independently associated with IR in PCOS.

Lipopolysaccharide-binding protein cannot independently predict type 2 diabetes mellitus: A nested case-control study.

BACKGROUND: Cross-sectional studies have reported a close association between serum lipopolysaccharide-binding protein (LBP) and many metabolic disorders. However, no longitudinal study has explored the relationship between LBP and type 2 diabetes mellitus (T2DM). The aim of the present study was to investigate the association between serum LBP levels and the risk of developing T2DM. METHODS: A 5-year nested case-control study of 3510 individuals was performed as part of the Environment, Inflammation and Metabolic Diseases Study (EIMDS). Clinical data were collected at baseline. Serum levels of LBP and other biochemical factors, such as insulin and high-sensitivity C-reactive protein, were detected 5 years later. Subjects were diagnosed as having T2DM on the basis of results of an oral glucose tolerance test (OGTT) and 1998 World Health Organization criteria. Controls were randomly selected to match cases according to age, gender, and body mass index (BMI) in a 1:1 ratio. Odds ratios (OR) for T2DM were calculated using conditional logistic regression analysis. RESULTS: Over a 5-year follow-up period, 255 subjects developed T2DM. There was no significant difference in serum LBP levels between the T2DM and control groups at baseline (19.78 ± 6.40 versus 20.53 ± 6.99 µg/mL; P = 0.207). Subjects were divided into three groups based on tertiles of LBP concentrations (n = 170 in each group; T1 = 1.31-17.16 µg/mL LBP; T2 = 17.21-22.37 µg/mL LBP; T3 = 22.49-40.08 µg/mL LBP). There was no significant association between the risk of developing T2DM and any of the LBP tertiles in either a simple model or after adjusting for general status and biochemical factors. CONCLUSION: After matching for gender, age, and BMI, LBP does not improve prediction of the development of T2DM independently.

Impaired adipogenesis in adipose tissue associated with hepatic lipid deposition induced by chronic inflammation in mice with chew diet.

AIMS: Chronic inflammation might be associated with hepatic lipid deposition independent of overnutrition. However, the mechanism is not fully understood. In this study, we investigate if impaired adipogenesis in adipose tissue is associated with hepatic lipid deposition induced by chronic inflammation in mice with chew diet. MAIN METHODS: Casein injection in C57BL/6J mice was given every other day to induce chronic inflammation. All mice were sacrificed after 18weeks of injections. The serum, liver and adipose tissue were collected for analysis. Real-time polymerase chain reaction and western blotting were used to examine the gene and protein expressions of molecules involved in hepatic lipid metabolism and adipose adipogenesis. KEY FINDINGS: Casein injection elevated serum levels of insulin, free fatty acid (FFA) and proinflammatory factors. The gene expression of proinflammatory factors of adipose tissue and the liver also increased in the casein group as compared with the control group. Chronic inflammation up-regulated the hepatic expression of fatty acid translocase (CD36) and down-regulated microsomal triacylglycerol transfer protein (MTP), carnitine palmitoyltransferase 1a (CPT1a) and acyl-coenzyme a oxidase 1 (ACOX1). Meanwhile, chronic inflammation not only diminished the size of adipocytes, but also down-regulated the expression of peroxisome proliferator-activated receptor γ (PPARγ) and CCAAT/enhancer binding proteinα (C/EBPα), both indicating an impaired adipogenesis. SIGNIFICANCE: Besides disturbed lipid metabolism in the liver per se, impaired adipogenesis in the adipose tissue might also be associated with hepatic lipid deposition induced by chronic inflammation in mice with chew diet.

Comparison of the hypoglycemic effect of acarbose monotherapy in patients with type 2 diabetes mellitus consuming an Eastern or Western diet: a systematic meta-analysis.

BACKGROUND: Because of its mechanism of action, the starch content of a diet might alter the hypoglycemic effect of acarbose. OBJECTIVE: We aimed to determine whether differences in this hypoglycemic effect existed between individuals consuming Eastern and Western diets with significantly different starch contents, a systematic meta-analysis of studies comparing acarbose with placebo or other hypoglycemic agents in patients with type 2 diabetes mellitus (T2DM) was performed. METHODS: Records were retrieved from the Cochrane clinical controlled trials, MEDLINE, EMBASE, Wanfang, Chinese Technical Periodicals, and ongoing trials databases, and full texts and reference lists were screened. Because no study has directly compared patients consuming different types of diet, fixed- and random-effect models were used to indirectly compare the hypoglycemic effect of acarbose monotherapy with that of placebo and/or comparator drugs in patients with T2DM consuming an Eastern (Eastern Asia) or Western (including Europe and North America) diet. RESULTS: A total of 46 studies were included in the meta-analysis. The results revealed that, compared with placebo, hemoglobin A1c (HbA1c) levels were reduced to a significantly greater extent (1.02%) in the Eastern diet (mean [SD], 1.54% [2.00%]) than in the Western diet (mean [SD], 0.52% [1.20%]) P < 0.00001). The ability of acarbose to reduce HbA1c levels in the Eastern (P = 0.20) and Western (P = 0.10) diet groups was similar to that of sulfonylureas, and HbA1c levels were reduced significantly more (0.39%; P < 0.00001) in the Eastern than in the Western diet group. The ability of acarbose to reduce HbA1c levels was similar to those of metformin and nateglinide/repaglinide, but a comparison of its efficacy with different diets was difficult because of the inclusion of few studies in these categories. Analysis of all included studies revealed that acarbose achieved a greater absolute reduction of HbA1c levels in the Eastern diet (mean [SD], 1.26% [1.20%]) than in the Western diet (mean [SD], 0.62% [1.28%]; P < 0.00001) group. However, the poor quality of Eastern diet trials may have affected the outcomes of the meta-analysis. CONCLUSION: The hypoglycemic effect of acarbose is superior in patients with T2DM consuming an Eastern diet than in those consuming a Western diet and is similar to that of sulfonylureas, metformin, and glinide drugs.

Associations of the PTEN -9C>G polymorphism with insulin sensitivity and central obesity in Chinese.

BACKGROUND: Phosphatase and tensin homolog on chromosome 10 gene (PTEN) is known as a tumor-suppressor gene. Previous studies demonstrated that PTEN dysfunction affects the function of insulin. However, investigations of PTEN single nucleotide polymorphisms (SNPs) and IR-related disease associations are limited. The aim of the present study was to investigate whether its polymorphism could be involved in the risk of metabolic syndrome (MetS). METHODS: The genotype frequency of PTEN -9C>G polymorphism was determined by using a Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) method in 530 subjects with MetS and 202 healthy control subjects of the Han Ethnic Chinese population in a case-control analysis. RESULTS: The PTEN -9C>G polymorphism was not associated with MetS or its hyperglycemia, hypertension and hypertriglyceridemia components. In the control individuals aged <60 years or ≥60 years, the CG genotype individuals had lower insulin sensitivity than CC individuals (P<0.05). In the <60-year-old MetS group and normal glucose tolerance (NGT) subgroup, the CG individuals had lower insulin sensitivity and higher waist circumference (WC) and waist-height-ratio (WHtR) than CC individuals (P<0.05). Multiple linear regression analysis showed that the PTEN polymorphism (P=0.001) contributed independently to 4.2% (adjusted R(2)) of insulin sensitivity variance (estimated by Matsuda ISI), while age (P=0.004), gender (P=0.000) and the PTEN polymorphism (P=0.032) contributed independently to 5.6% (adjusted R(2)) of WHtR variance. CONCLUSIONS: The CG genotype of PTEN -9C>G polymorphism was not associated with MetS and some of its components as well. However, it may not only decrease insulin sensitivity in the healthy control and MetS in pre-elderly or NGT subjects, but may also increase the risk of central obesity among these MetS individuals.