Correlation of body composition in early pregnancy on gestational diabetes mellitus under different body weights before pregnancy

Body composition and risk of gestational diabetes mellitus: A univariable and multivariable Mendelian randomization study

OBJECTIVE

In this study, we employed a Mendelian randomization (MR) approach to investigate the independent causal associations of six body composition traits with gestational diabetes mellitus (GDM).

METHODS

Genome-wide significant levels (P < 10 × 5-8 ) of single nucleotide polymorphisms associated with body water mass, total protein, whole body fat-free mass, weight, whole body fat mass, and body fat percentage were used as instrumental variables. Data on GDM were obtained from the FinnGen Consortium, and both univariable and multivariable Mendelian randomization were performed. We utilized five different analytical methods including inverse-variance weighted (IVW), MR Egger, weighted median, simple mode, and weighted mode to assess the robustness of the results.

RESULTS

With univariable Mendelian randomization, the risk of GDM increased per 1-standard deviation (SD) increase in weight (ORweight  = 1.297, P = 3.06 × 10-5 ), whole body fat mass (ORwhole body fat mass  = 1.408, P = 1.32 × 10-6 ), and the risk of GDM increased per percent increase in body fat percentage (ORbody fat percentage  = 1.661, P = 1.01 × 10-8 ). Total protein had a protective effect on the risk of GDM (ORtotal protein  = 0.880, P = 0.048). However, there was no significant causal association between increases in body water mass and whole body fat-free mass per SD and the risk of GDM. Causal associations between weight, whole body fat mass, body fat percentage, and total protein with GDM were reduced to null in multivariable Mendelian randomization.

CONCLUSION

The present study furnishes genetic evidence to elucidate the causal relationship between body composition traits and GDM. Additionally, further studies are imperative to establish a causal connection between body composition traits and gestational diabetes mellitus.

Glucose metabolism in gestational diabetes and their relationship with fat mass / muscle mass index

Introduction

During pregnancy, women experience metabolic changes that may induce insulin resistance, which can be traced to the blood glucose levels A number of factors may intervene in the metabolism of glucose in pregnant women; one of them is body composition. This factor is useful for studying metabolic diseases, for which the identification of the fat mass/muscle mass index (FMMMI) considered an especially relevant factor. Owing to their nature, techniques such as bioimpedance have been sparsely used for analysis during pregnancy.

Aim

This study aimed to identify the relationship between fat mass / muscle mass index and glucose metabolism in pregnant women.

Methods

This descriptive cross-sectional study included 231 women between the ages of 18 and 35 years and 24-28 weeks of gestation, who attended a state hospital for regular check-ups and exhibited risk factors for the development of gestational diabetes (GD) according to the Current Practice Guidelines in Primary Care. The participants underwent a physical examination, anthropometric measurements bio impedance were obtained, and oral glucose tolerance curves were constructed. FMMMI was calculated.

Results

The prevalence of gestational diabetes was observed to be 13.4%. Women with a GD diagnosis had a significantly higher FMMMI than in those with no GD (0.746 ± 0.168 vs 0.567 ± 0.167;p < 0.005). The assessment of the FMMMI tertiles revealed that GD prevalence was higher in tertile 3 than in tertiles 1 and 2 (tertile 1: 2.6%; tertile 2: 9.1%; tertile 3: 24%).

Conclusion

FMMMI is associated with glucose tolerance test response in pregnant women and a higher prevalence of GD.