1.
Visceral Adiposity and Glucoregulatory Peptides are Associated with Susceptibility to Type 2 Diabetes: The TOFI_Asia Study.
Sequeira, IR, Yip, W, Lu, L, Jiang, Y, Murphy, R, Plank, L, Zhang, S, Liu, H, Chuang, CL, Vazhoor-Amarsingh, G, et al
Obesity (Silver Spring, Md.). 2020;(12):2368-2378
Abstract
OBJECTIVE Ethnic differences in fat deposition contribute to type 2 diabetes (T2D). Identification of biomarkers that underpin dysglycemia are needed for better-targeted prevention and treatment. METHODS The cross-sectional thin-on-the-outside-fat-on-the-inside (TOFI)_Asia study investigated adipose depots and clinical biomarkers as predictors of fasting plasma glucose (FPG) and insulin resistance (IR; assessed using the updated homeostatic model assessment of IR) in lean and overweight normo- and dysglycemic Chinese (n = 199) and Caucasian (n = 158) individuals. Multivariate least-angle regression models were used to identify predictors of FPG and IR. RESULTS At similar age and BMI, Chinese individuals had lower body weight but had a greater percentage of total abdominal adipose tissue and a greater percentage of total visceral adipose tissue (VAT) (all P < 0.005). In Chinese individuals, FPG, hemoglobin A1c , fasting insulin, and triglycerides were higher, whereas HDL cholesterol and total and high-molecular-weight adiponectin levels were lower (all P < 0.0001). Raised liver enzyme and peptide concentrations (P < 0.02) were consistent with increased T2D risk. Lean Chinese women (<25 kg/m2 ) had greater total abdominal adipose tissue (kilograms) and VAT (kilograms) than Caucasian women, exhibiting the TOFI profile, with raised FPG (P < 0.001) and IR (P = 0.01). Risk factors for elevated FPG specific to Chinese individuals included male gender, VAT, and triglycerides (R2 = 0.33), and risk factors for IR specific to Chinese individuals included amylin, C-peptide, and glucagon (R2 = 0.49). VAT, amylin, and C-peptide were predictors in Caucasian individuals. CONCLUSIONS VAT contributed to dysglycemia in both ethnicities, particularly in Chinese individuals characterized by the TOFI phenotype, as did the glucoregulatory peptides amylin and C-peptide, providing targets for T2D prevention.
2.
Decreased insulin sensitivity and abnormal glucose metabolism start in preadolescence in low-birth-weight children-Meta-analysis and systematic review.
Xu, Y, Chen, S, Yang, H, Gong, F, Wang, L, Jiang, Y, Yan, C, Zhu, H, Pan, H
Primary care diabetes. 2019;(5):391-398
Abstract
AIMS: Our meta-analysis aimed to analyze glucose and insulin abnormalities in small-for-gestational-age (SGA) or low-birth-weight (LBW) young people. METHODS Our data were collected from several databases, including PubMed, AMED and so on. Cohort studies in English were included. SGA or LBW participants comprised the case group, while non-SGA or non-LBW participants comprised the control group. All subjects were younger than 45 years old. RESULTS Sixteen studies and 10,060 subjects were included in this meta-analysis. The case group showed higher levels of oral glucose tolerance test (OGTT) 2-h glucose (mean difference (MD) = 0.32 mmol/L, 95% confidence interval (CI) 0.13-0.52 mmol/L, P = 0.0009) and fasting and OGTT 2-h insulin than the control group (respectively, MD = 7.47 pmol/L, 95% CI 1.77-13.17 pmol/L, P = 0.01 and MD = 105.55 pmol/L, 95% CI 65.43-145.66 pmol/L, P < 0.00001). In the preadolescence group (maximum age or 95% CI of age ≤10 years old), the OGTT 2-h glucose in the case group had an upward tendency compared to the control group, while the OGTT 2-h insulin in the case group was significantly higher than that in the control group (MD = 118.51 pmol/L, 95% CI 56.80-180.22 pmol/L, P = 0.0002). In the adolescence group (minimum age >10 years old and maximum age≤20 years old or 10 years old<95% CI of age≤20 years old), subjects in the case group showed significantly higher fasting and OGTT 2-h glucose than did the control group (respectively, MD = 0.14 mmol/L, 95% CI 0.04-0.24 mmol/L, P = 0.005 and MD = 0.40 mmol/L, 95% CI 0.08-0.71 mmol/L, P = 0.01). However, fasting and OGTT 2-h insulin in the case group were not significantly different from those in the control group (respectively, MD = 6.56 pmol/L, 95% CI -4.54-17.65 pmol/L, P = 0.25 and MD = 65.89 pmol/L, 95% CI -50.00-181.78 pmol/L, P = 0.27). CONCLUSIONS Decreased insulin sensitivity and abnormal glucose metabolism began early in preadolescence. Furthermore, glucose tolerance was worse in adolescence. LBW or SGA status affects glucose metabolism and insulin sensitivity beginning in preadolescence.
3.
Meta-analysis of prospective studies on the effects of nut consumption on hypertension and type 2 diabetes mellitus.
Guo, K, Zhou, Z, Jiang, Y, Li, W, Li, Y
Journal of diabetes. 2015;(2):202-12
Abstract
BACKGROUND Inconclusive reports have been published on the consumption of nuts and the risk of hypertension and type 2 diabetes mellitus (T2DM). We performed a meta-analysis of prospective studies to assess the effects of nut consumption on hypertension and T2DM risks. METHODS A PUBMED and EMBASE database search was performed. Summary relative risks (SRRs) and 95% confidence intervals (CIs) were calculated using a random-effects model. Q and I2 statistics were used to examine between-study heterogeneity. RESULTS A total of eight articles with nine prospective cohort studies (three hypertension studies and six T2DM studies) were selected. Using random effects models, we found that compared with never/rare consumers of nuts, those consuming >2 servings per week had an 8% lower risk of hypertension (SRR = 0.92, 95% CI: 0.87-0.97, P(heterogeneity) = 0.590, I2 = 0%), while consumption of nuts at one serving per week had similar risk (SRR = 0.97, 95% CI: 0.83-1.13). In addition, nuts consumption was not associated with risk of T2DM (SRRs = 0.98, 95% CI: 0.84-1.15; P(heterogeneity) = 0.008, I2 = 67.7%) on the basis of the highest versus lowest analysis. This null association was also shown in the dose-response analysis. CONCLUSION Findings from this meta-analysis indicate that consumption of nuts (>2 servings/week) may be inversely associated with hypertension risk, but not with T2DM risk.