Obesity and Prediabetes are Jointly Associated with Lipid Abnormalities Among Adolescents: A Cross-Sectional Study

Evaluation of the relationship between oral glucose tolerance test, blood sugar levels and cholesterol levels in prediabetic individuals

Objective

This study aimed to investigate whether there is a difference in lipid levels between prediabetic individuals with one-hour post-Oral Glucose Tolerance Test (OGTT) plasma glucose (PG) values > 155 mg/dl and those with one-hour PG values ≤ 155 mg/dl.

Methods

This retrospective cross sectional study was initiated on August 2020 and concluded on June 2021, and conducted with 229 prediabetic patients who presented to the Diabetes Clinic of the Research Hospital. A correlation analysis was performed to investigate the relationship between OGTT values and serum lipid levels. Additionally, the patients were divided into two groups based on the one-hour post-OGTT PG value of 155 mg/dl, and the presence of any difference in serum lipid levels between the two groups was examined using the Mann-Whitney U test. The SPSS 20 software was used for statistical analysis, and a statistical significance level of P < 0.05 was considered.

Results

Out of the 229 prediabetic patients included in the study, 172 were female. The number of patients with one-hour post-OGTT PG ≤ 155 mg/dl was 86, while those with values > 155 mg/dl were 143. A statistically significant difference was found between the group with one-hour post-OGTT PG > 155 mg/dl and the group with ≤ 155 mg/dl in terms of high-density lipoprotein (HDL-C) and triglyceride (TG) levels. There was a statistically significant negative correlation between one-hour PG and HDL-C.

Conclusion

The evaluation of HDL-C and TG levels is important in prediabetic patients with a one-hour OGTT PG level greater than 155 mg/dL.

Pachyrhizus erosus Inhibits Adipogenesis via the Leptin-PPARγ-FAS Pathway in a High-Fat Diet-Induced Mouse Model

In 2016, obese patients represented 13% of the worldwide adult population, and by 2030, they are projected to make up 34%. Obesity is an incommunicable disease, but it can induce many health problems. The groups consisted of a control, a 65% high-fat group, and a 250 mg/kg P. erosus group. Several biomarkers, such as body weight gain, the presence of TC/LDL/HDL in the serum, the weight of fat tissue, and liver weight/morphology, were investigated to define the anti-obesity mechanisms of P. erosus, and the adipogenesis pathway was studied. P. erosus suppressed body weight gain, decreased TC and LDL, prevented fat tissue weight gain, and prevented liver weight gain by blocking lipid droplet accumulation. P. erosus effectively decreased the up-regulated levels of leptin, significantly controlled both C/EBPα and PPARγ levels, and prevented increased FAS expression levels. We concluded that P. erosus effectively controlled obesity by regulating leptin-C/EBPα-PPARγ and FAS and might be a promising AOM.

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 the Association of Sibship Size and Position in Sibship with Lipid Profile during Adolescence: A Cross-Sectional Study

BACKGROUND

Epidemiologic studies have reported associations of sibship size and position of the child in the sibship with multiple health outcomes, including adiposity and diabetes. However, little is known about sibling effects on lipids. Hence, this study sought to evaluate associations of the number of total, older, and younger siblings with lipid profile among adolescents.

METHODS

In a cross-sectional study among high school students aged 14 to 19 years, lipid levels were measured in capillary blood. Parents reported the number of siblings (total, older, and younger). Geometric means of lipids were calculated, and linear regression was used to estimate the ratio of geometric means (RoGM) and 95% confidence intervals (CI). Analyses were sex stratified.

RESULTS

Of the total study sample (n = 1,584), 758 (47.9%) were boys and 826 (52.1%) were girls, with median age of 16.0 years. Total cholesterol (TC) was lower by 8% (adjusted-RoGM = 0.92, 95% CI: 0.88-0.96) among boys with ≥3 older siblings compared to those with no older siblings. Similarly, boys with ≥3 younger sibling compared to those with no younger siblings had reduced TC by 7% (adjusted-RoGM = 0.93, 0.87-0.99). Moreover, an increased number of total siblings (≥4 vs. 0/1: adjusted-RoGM = 0.80, 0.67-97) and older siblings (≥3 vs. 0: adjusted-RoGM = 0.90, 0.82-0.98) were associated with reduced low-density lipoprotein cholesterol (LDL-C) among boys. Similarly, lower levels of triglycerides (TG) were seen among boys with ≥3 older siblings compared to those with no older siblings (adjusted-RoGM = 0.87, 0.78-0.96). A higher number of younger siblings was associated with increased high-density lipoprotein cholesterol (HDL-C) among boys (≥3 vs. 0: adjusted-RoGM = 1.08, 1.01-1.17). Sibship characteristics were not associated with lipids among girls.

CONCLUSIONS

Increased number of total, older, and younger siblings were associated with favorable lipid profiles among adolescent boys, but not girls. Mechanisms underlying these associations need further investigations.