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 | |
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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. |
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AbstractList | 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. OBJECTIVEThe study aimed to identify BMI-related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). METHODSPlasma 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. RESULTSOf 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. CONCLUSIONSHigher BMI in early pregnancy was associated with altered lipid metabolism that may contribute to the increased risk of GDM. 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. 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. |
Author | Liu, Gang Ye, Yi‐Xiang Sun, Fengjiang Wang, Yixin Li, Yanqin Pan, An Ouyang, Jing Chen, Da Wu, Linjing Wang, Yi Pan, Xiong‐Fei Ye, Yi Lai, Yuwei Wu, Ping Yang, Xue Li, Yue Zhao, Bin Huang, Yichao |
Author_xml | – sequence: 1 givenname: Yi orcidid: 0000-0001-6965-9696 surname: Wang fullname: Wang, Yi organization: Huazhong University of Science and Technology – sequence: 2 givenname: Ping surname: Wu fullname: Wu, Ping organization: Huazhong University of Science and Technology – sequence: 3 givenname: Yichao surname: Huang fullname: Huang, Yichao organization: Anhui Medical University – sequence: 4 givenname: Yi surname: Ye fullname: Ye, Yi organization: Huazhong University of Science and Technology – sequence: 5 givenname: Xue surname: Yang fullname: Yang, Xue organization: Sichuan University – sequence: 6 givenname: Fengjiang surname: Sun fullname: Sun, Fengjiang organization: Jinan University – sequence: 7 givenname: Yi‐Xiang surname: Ye fullname: Ye, Yi‐Xiang organization: Huazhong University of Science and Technology – sequence: 8 givenname: Yuwei surname: Lai fullname: Lai, Yuwei organization: Huazhong University of Science and Technology – sequence: 9 givenname: Jing surname: Ouyang fullname: Ouyang, Jing organization: Huazhong University of Science and Technology – sequence: 10 givenname: Linjing surname: Wu fullname: Wu, Linjing organization: Huazhong University of Science and Technology – sequence: 11 givenname: Yue surname: Li fullname: Li, Yue organization: Huazhong University of Science and Technology – sequence: 12 givenname: Yanqin surname: Li fullname: Li, Yanqin organization: Shuangliu Maternal and Child Health Hospital – sequence: 13 givenname: Bin surname: Zhao fullname: Zhao, Bin organization: Shuangliu Maternal and Child Health Hospital – sequence: 14 givenname: Yixin surname: Wang fullname: Wang, Yixin organization: Huazhong University of Science and Technology – sequence: 15 givenname: Gang surname: Liu fullname: Liu, Gang organization: Huazhong University of Science and Technology – sequence: 16 givenname: Xiong‐Fei orcidid: 0000-0002-9350-9230 surname: Pan fullname: Pan, Xiong‐Fei email: pxiongfei@scu.edu.cn organization: Shuangliu Maternal and Child Health Hospital – sequence: 17 givenname: Da surname: Chen fullname: Chen, Da email: dachen@jnu.edu.cn organization: Jinan University – sequence: 18 givenname: An surname: Pan fullname: Pan, An organization: Huazhong University of Science and Technology |
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Copyright | 2022 The Obesity Society. Copyright Blackwell Publishing Ltd. Oct 2022 |
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Snippet | 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... Abstract Objective The study aimed to identify BMI‐related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM).... Objective: The study aimed to identify BMI-related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods:... OBJECTIVEThe study aimed to identify BMI-related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). METHODSPlasma... |
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SubjectTerms | Biomarkers Body mass index Disease Genomes Gestational diabetes Glucose Health risk assessment Lipids Metabolism Metabolites Obesity Plasma Pregnancy Questionnaires Values Womens health |
Title | BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women |
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