Sex Differences in the Prevalence of and Risk Factors for Abnormal Glucose Regulation in Adults Aged 50 Years or Older With Normal Fasting Plasma Glucose Levels

The characteristics and risk of obesity central and concomitant impaired fasting glucose: Findings from a cross-sectional study

INTRODUCTION

Obesity is associated with concomitant chronic conditions. An early metabolic consequence of obesity is disruption of glucose and insulin homeostasis. One of the consequences is impaired fasting glucose (IFG). Visceral fat is metabolically more harmful than subcutaneous fat, but few information is available regarding the association between the risk of abnormal glucose in increased waist circumference.

METHODS

This study is based on a cross sectional of 1,381 population-based from Palembang, Indonesia. The eligibility requirements subject were to be older than 18 and consent to taking fasting glucose and lipid profile tests as well as physical exams measuring their body weight, height, blood pressure, abdominal circumference, and waist circumference.

RESULTS

The number of subjects consisting of 798 noncentral obesity with normoglycemia, 376 central obesity with normoglycemia, and 207 central obesity with concomitant IFG. The prevalence central obesity with concomitant IFG was 35.51%. In subjects with central obesity, there were significant differences in proportions based on sex, age, marital status, education, and occupation. In multivariate analysis show that the risk factors that contribute to having a significant association with central obesity with concomitant IFG are sex (female), age (>40 years), blood pressure (hypertension), and HDL-C <50 mg/dL (p<0.001). The analysis also founded that there was a significant difference in the dietary pattern of sweet foods (p = 0.018), sweet drinks (p = 0.002), soft drinks (p = 0.001) and smoking habit (p<0.001) between subjects with obesity central and concomitant IFG compared to subjects with noncentral obesity. The majority of subjects with obesity central and concomitant IFG had consuming these risky foods >6 times/week.

CONCLUSION

The prevalence of central obesity with IFG is quite high. There are significant differences in the characteristics, lipid profile, blood pressure, dietary pattern, and smoking habit of central obesity with concomitant IFG was confirmed in this population-based observational study.

Common risk factors for dental caries and impaired glucose regulation in Guangxi, China

OBJECTIVES

To assess the prevalence of caries and impaired glucose regulation (IGR) and try to investigate their common risk factors among adult residents in Guangxi province.

METHODS

A cross-sectional study was conducted on a sample of 2993 adults from five different areas of Guangxi province. The sociodemographic data, history of personal habits such as diet and physical activities, physical measurements, oral examination results and biochemical laboratory test data were collected to establish a database and prepare a sound research model. Chi-square test and multiple logistic regression were used to analyse the risk factors for dental caries and IGR.

RESULTS

The prevalence rate for caries was 85.9%, and the mean DMFT score was 7.35. In multiple logistic regression, after adjustment, education level, occupation, daily consumption of vegetables, weekly consumption of carbonated beverages and weekly exercise were associated with caries (odds ratio [OR]: 2.10, OR: 1.80, OR: 1.40, OR: 2.45, OR: 2.38). The prevalence of IGR was 33.5%, and after adjustment, results showed that occupation, body mass index, waist circumference, systolic blood pressure, diastolic blood pressure, high-density lipoprotein-C levels and low-density lipoprotein-C levels were significantly associated with IGR (OR: 0.80, OR: 1.70, OR: 1.56, OR: 1.88, OR: 1.60, OR: 1.43, OR: 1.48). The strength of association between caries/IGR and risk factors was a weak association or moderate association.

CONCLUSIONS

We have not found common risk factors between dental caries and IGR. Therefore, further studies are needed to explore these common risk factors to prevent caries and IGR.

Analysis of influencing factors and interaction of body weight and disease outcome in patients with prediabetes

BACKGROUND

The trend of prediabetes progressing to type 2 diabetes mellitus (T2DM) is prominent, and effective intervention can lead to a return to prediabetes. Exploring the factors influencing the outcome of prediabetes is helpful to guide clinical intervention. The weight change in patients with prediabetes has not attracted much attention.

AIM

To explore the interaction between body weight and the factors affecting the progression of prediabetes to T2DM.

METHODS

We performed a retrospective analysis of 236 patients with prediabetes and 50 with normal glucose tolerance (NGT), and collected clinical data and follow-up results of all patients. Based on natural blood glucose outcomes, we classified 66 patients with progression to T2DM into the disease progression (DP) group, and 170 patients without progression to T2DM into the disease outcome (DO) group. We analyzed the factors that influenced prediabetes outcome and the influence of body weight on prediabetes blood glucose outcome by unconditional logistic regression. A general linear model (univariate) was used to analyze the inter-action between body weight and independent influencing factors.

RESULTS

There were 98 cases of impaired fasting glucose (IFG), 90 cases of impaired glucose tolerance (IGT), and 48 cases of coexistent IFG and IGT. The body weight, waist circumference, body mass index, fasting blood glucose, and 2 h plasma glucose of patients with IFG, IGT, and coexistent IFG and IGT were higher than those in patients with NGT (P < 0.05). Logistic regression analysis showed that body weight, glycosylated hemoglobin, uric acid, fasting insulin, and homeostatic model assessment for insulin resistance were independent factors affecting progression of prediabetes to T2DM (P < 0.05). Receiver operating characteristic curve analysis showed that the area under the curve predicted by the above indicators combined was 0.905 [95% confidence interval (CI): 0.863-0.948], which was greater than that predicted by each indicator alone. Logistic regression analysis with baseline body weight as an independent variable showed that compared with body weight 1, the odds ratio (95%CI) of body weight 3 was 1.399 (1.142-2.126) (P = 0.033). There was a multiplicative interaction between body weight and uric acid (β = 1.953, P = 0.005).

CONCLUSION

High body weight in patients with prediabetes is an independent risk factor for progression to T2DM, and the risk of progression is increased when coexisting with high uric acid level.

Epigenetic modification in diabetic kidney disease

Diabetic kidney disease (DKD) is a common microangiopathy in diabetic patients and the main cause of death in diabetic patients. The main manifestations of DKD are proteinuria and decreased renal filtration capacity. The glomerular filtration rate and urinary albumin level are two of the most important hallmarks of the progression of DKD. The classical treatment of DKD is controlling blood glucose and blood pressure. However, the commonly used clinical therapeutic strategies and the existing biomarkers only partially slow the progression of DKD and roughly predict disease progression. Therefore, novel therapeutic methods, targets and biomarkers are urgently needed to meet clinical requirements. In recent years, increasing attention has been given to the role of epigenetic modification in the pathogenesis of DKD. Epigenetic variation mainly includes DNA methylation, histone modification and changes in the noncoding RNA expression profile, which are deeply involved in DKD-related inflammation, oxidative stress, hemodynamics, and the activation of abnormal signaling pathways. Since DKD is reversible at certain disease stages, it is valuable to identify abnormal epigenetic modifications as early diagnosis and treatment targets to prevent the progression of end-stage renal disease (ESRD). Because the current understanding of the epigenetic mechanism of DKD is not comprehensive, the purpose of this review is to summarize the role of epigenetic modification in the occurrence and development of DKD and evaluate the value of epigenetic therapies in DKD.

Identified lncRNAs functional modules and genes in prediabetes with hypertriglyceridemia by weighted gene co-expression network analysis

Background

Hypertriglyceridemia (HTG) is one of the most important comorbidities in abnormal glucose patients. The aim of this study was to identify lncRNAs functional modules and hub genes related to triglyceride (TG) in prediabetes.

Methods

The study included 12 prediabetic patients: 6 participants with HTG and 6 participants with normal triglyceride (NTG). Whole peripheral blood RNA sequencing was performed for these samples to establish a lncRNA library. WGCNA, KEGG pathways analysis and the PPI network were used to construct co‐expression network, to obtain modules related to blood glucose, and to detect key lncRNAs. Meanwhile, GEO database and qRT-PCR were used to validate above key lncRNAs.

Results

We found out that the TCONS_00334653 and PVT1, whose target mRNA are MYC and HIST1H2BM, were downregulating in the prediabetes with HTG. Moreover, both of TCONS_00334653 and PVT1 were validated in the GEO database and qRT-PCR.

Conclusions

Therefore, the TCONS_00334653 and PVT1 were detected the key lncRNAs for the prediabetes with HTG, which might be a potential therapeutic or diagnostic target for the treatment of prediabetes with HTG according to the results of validation in the GEO database, qRT-PCR and ROC curves.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12986-022-00665-5.

Sex Differences in Cardiovascular Consequences of Hypertension, Obesity, and Diabetes: JACC Focus Seminar 4/7

It has long been recognized that there are significant differences between the sexes affecting prevalence, incidence, and severity over a broad range of diseases. Until the early 1990s, the limited research conducted on women's health focused primarily on diseases affecting fertility and reproduction, and women were excluded from most clinical trials. For these reasons, the prevention, diagnosis, and treatment of serious chronic diseases such as cardiovascular disease in women continue to be based primarily on findings in men, and sex-specific clinical guidelines are mostly lacking. Hypertension, obesity, and diabetes, interrelated risk factors for cardiovascular disease, differ by sex in terms of prevalence and adverse effects as well as by genetics and biology. Research is needed to understand sex differences in hypertension, obesity, and diabetes to optimally inform sex-specific prevention, diagnosis, and treatment strategies for women and men. In this way, sex-specific clinical guidelines can be developed where warranted.