[The association between visceral adipose thickness and gestational diabetes mellitus in the first trimester].

Objective: To investigate the association between visceral adipose tissue (VAT) thickness in early pregnancy and the risk of gestational diabetes mellitus (GDM). Methods: Based on the Qingdao Women and Children Health Cohort, pregnant women in the first trimester (11-13+6 weeks of gestation) were enrolled in this cohort study between May 2019 and October 2022. The VAT was measured in first trimester and determined as the distance from the inner margin of the rectus abdominis muscle to the anterior wall of the great artery using multi-functional color ultrasound. The 75 g oral glucose tolerance test (OGTT) results were followed up at 24-28 weeks and the participants were divided into GDM group and non-GDM group. The pregnant women were divided into 4 groups according to the VAT quartile. Log-binomial model and linear regression model were used to analyze the association between VAT and GDM/blood glucose. Results: A total of 3 686 pregnant women were included in this study, the mean age of participants was (30.56±4.05) years and 722 were diagnosed with GDM, with an incidence of 19.6%. The log-binomial regression model results showed that compared with VAT thickness Q1 (VAT<14.70 mm), the GDM risk in Q3 (21.65≤VAT≤29.69 mm) and Q4 (VAT ≥29.70 mm) increased by 34% [RR(95%CI): 1.34 (1.08-1.67)], and 61% [RR(95%CI): 1.61 (1.30-2.00)], respectively. Among women with gestational age<35 years old, compared with VAT thickness Q1, the risk of GDM increased by 42% in Q3 [RR(95%CI): 1.42 (1.22-1.65)] and 70% [RR(95%CI): 1.70 (1.46-1.98)] in Q4, whereas no associations were found in women with gestational age ≥35 years old (P>0.05). The association between VAT and GDM risk was only found in pregnant women with pre-pregnancy BMI <24.0 kg/m2, and the GDM risk increased by 57% [RR(95%CI): 1.57 (1.22-2.04)] in Q3 and 65% [RR(95%CI): 1.65 (1.24-2.19)] in Q4 compare with Q1. The results of multiple linear regression analysis showed that VAT was positively correlated with fasting blood glucose, 1-hour blood glucose after 75 g OGTT and 2-hours blood glucose after 75 g OGTT (all Pfor trend<0.001). Conclusion: High VAT thickness in early pregnancy is an independent risk factor for GDM, and the GDM risk increases with the raising of VAT depth.

Analyzing gene expression profiles in dilated cardiomyopathy via bioinformatics methods

Dilated cardiomyopathy (DCM) is characterized by ventricular dilatation, and it is a common cause of heart failure and cardiac transplantation. This study aimed to explore potential DCM-related genes and their underlying regulatory mechanism using methods of bioinformatics. The gene expression profiles of GSE3586 were downloaded from Gene Expression Omnibus database, including 15 normal samples and 13 DCM samples. The differentially expressed genes (DEGs) were identified between normal and DCM samples using Limma package in R language. Pathway enrichment analysis of DEGs was then performed. Meanwhile, the potential transcription factors (TFs) and microRNAs (miRNAs) of these DEGs were predicted based on their binding sequences. In addition, DEGs were mapped to the cMap database to find the potential small molecule drugs. A total of 4777 genes were identified as DEGs by comparing gene expression profiles between DCM and control samples. DEGs were significantly enriched in 26 pathways, such as lymphocyte TarBase pathway and androgen receptor signaling pathway. Furthermore, potential TFs (SP1, LEF1, and NFAT) were identified, as well as potential miRNAs (miR-9, miR-200 family, and miR-30 family). Additionally, small molecules like isoflupredone and trihexyphenidyl were found to be potential therapeutic drugs for DCM. The identified DEGs (PRSS12 and FOXG1), potential TFs, as well as potential miRNAs, might be involved in DCM.