BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women
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...
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Published in | Obesity (Silver Spring, Md.) Vol. 30; no. 10; pp. 2044 - 2054 |
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Main Authors | , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Silver Spring
Blackwell Publishing Ltd
01.10.2022
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | Funding information Fundamental Research Funds for the Central Universities, Grant/Award Number: 2019kfyXKJC052; Guangdong (China) Innovative and Entrepreneurial Research Team Program, Grant/Award Number: 2016ZT06N258; National Natural Science Foundation of China, Grant/Award Numbers: 41977373, 81773517 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1930-7381 1930-739X |
DOI: | 10.1002/oby.23517 |