BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women

Abstract

Objective The study aimed to identify BMI‐related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods Plasma lipidome, height, and weight were measured in early pregnancy among 1008 women. Pearson correlation analyses and least absolute shrinkage and selection operator regression (LASSO) were performed to identify BMI‐associated lipids. Based on these lipids, a lipid score was created using LASSO, and its association with GDM risk was evaluated by conditional logistic regression. The causal relationships between BMI and lipids were tested by Mendelian randomization analysis with genotyping data. Mediation analysis was conducted to evaluate the mediating effect of lipids on the association of BMI with GDM. Results Of 366 measured lipids, BMI was correlated with 28 lipids, which mainly belong to glycerophospholipids and glycerolipids. A total of 10 lipid species were associated with BMI, and a lipid score was established. A causal relationship between BMI and lysophosphatidylcholine 14:0 was observed. The lipid score was associated with a 1.69‐fold increased risk of GDM per 1‐point increment (95% CI: 1.33‐2.15). Furthermore, BMI‐associated lipids might explain 66.4% of the relationship between BMI and GDM. Conclusions Higher BMI in early pregnancy was associated with altered lipid metabolism that may contribute to the increased risk of GDM.

Metal Exposure during Early Pregnancy and Risk of Gestational Diabetes Mellitus: Mixture Effect and Mediation by Phospholipid Fatty Acids

“…Each case was randomly matched with two controls by age (±3 years) and weeks of gestation (±4 weeks) at the time of biological sample collection. It is noted that the TSBC continued to enroll participants after June 2019 and had 7025 participants (including 509 GDM cases) in total by the end of pregnancy, resulting in a slightly higher incidence of GDM for the entire cohort compared to our present study (7.2 vs 5.6%). The cohort study was approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology.…”

Chewing the fat: How lipidomics is changing our understanding of human health and disease in 2022

“…Due to the elevated risk of mortality with these diseases, there is a need for strategies in its identification, prevention, and treatment within healthcare. In 2022, as evidenced in Figure 5, the bulk of research articles focussed on related diseases: CVD, 232–255 diabetes, 166,233,249,250,256–278 liver disease, 51,279–293 MetS 277,294,295 and obesity 277,295–305 …”

“…Bibliometric analyses of clinical lipidomics publications in 2022 according to separation techniques, detectors, and RPLC columns used …”

“…Bibliometric analyses of clinical lipidomics publications in 2022 using Scopus search terms “lipidomics” AND “clinic*” on 15 th December 2022 …”

The role of lipid dysregulation in gestational diabetes mellitus: Early prediction and postpartum prognosis

“…Similarly, Rahman et al 64 discovered that plasma sphingomyelins (SMs) and phosphatidylcholines (PCs) were negatively correlated with GDM risk in the early trimester. In another study, the plasma lipid profile was measured in the early trimester, and a lipid score consisting of 10 lipid species (mainly glycerophospholipids and glycerolipids) was established, which was linked with increased GDM risk 70 . Dudzik et al 71 found that lysoglycerophospholipids (LPCs) had a close association with the glycemic state of women.…”