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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| Veröffentlicht in: | Obesity (Silver Spring, Md.) Md.), 2022-10, Vol.30 (10), p.2044-2054 |
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| creator | Wang, Yi Wu, Ping Huang, Yichao Ye, Yi Yang, Xue Sun, Fengjiang Ye, Yi‐Xiang Lai, Yuwei Ouyang, Jing Wu, Linjing Li, Yue Li, Yanqin Zhao, Bin Wang, Yixin Liu, Gang Pan, Xiong‐Fei Chen, Da Pan, An |
| description | 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. |
| doi_str_mv | 10.1002/oby.23517 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2709016301</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2719044505</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3307-d6aeec268cc2b13f8e024b35405f41e57ca859eec9982bb91703f4df36316ecf3</originalsourceid><addsrcrecordid>eNp10D1PwzAQBuAIgUQpDPwDSywwpD3HcRKPtOKjUlEZQILJchy7uE3iYqeq-u9xCWJAYrobnjvdvVF0iWGEAZKxLfejhFCcH0UDzAjEOWFvx799gU-jM-9XAGkGFA-i58nTDIm2QrXZmMo2RqLS2Ea4tXIe7Uz3gZzxa2Q1Wirfic7YVtSoMqJUnfLItGjj1LIVbYd2tlHteXSiRe3VxU8dRq_3dy_Tx3i-eJhNb-exJATyuMqEUjLJCimTEhNdKEjSktAUqE6xorkUBWWBMFYkZclwDkSnlSYZwZmSmgyj637vxtnPbTiNN8ZLVdeiVXbreZIDA5wRwIFe_aEru3XhjYPCDNKUAg3qplfSWe-d0nzjTAhizzHwQ7Y8ZMu_sw123NudqdX-f8gXk_d-4gtWmHqF</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2719044505</pqid></control><display><type>article</type><title>BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women</title><source>Wiley Free Content</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Wang, Yi ; Wu, Ping ; Huang, Yichao ; Ye, Yi ; Yang, Xue ; Sun, Fengjiang ; Ye, Yi‐Xiang ; Lai, Yuwei ; Ouyang, Jing ; Wu, Linjing ; Li, Yue ; Li, Yanqin ; Zhao, Bin ; Wang, Yixin ; Liu, Gang ; Pan, Xiong‐Fei ; Chen, Da ; Pan, An</creator><creatorcontrib>Wang, Yi ; Wu, Ping ; Huang, Yichao ; Ye, Yi ; Yang, Xue ; Sun, Fengjiang ; Ye, Yi‐Xiang ; Lai, Yuwei ; Ouyang, Jing ; Wu, Linjing ; Li, Yue ; Li, Yanqin ; Zhao, Bin ; Wang, Yixin ; Liu, Gang ; Pan, Xiong‐Fei ; Chen, Da ; Pan, An</creatorcontrib><description>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.</description><identifier>ISSN: 1930-7381</identifier><identifier>EISSN: 1930-739X</identifier><identifier>DOI: 10.1002/oby.23517</identifier><language>eng</language><publisher>Silver Spring: Blackwell Publishing Ltd</publisher><subject>Biomarkers ; Body mass index ; Disease ; Genomes ; Gestational diabetes ; Glucose ; Health risk assessment ; Lipids ; Metabolism ; Metabolites ; Obesity ; Plasma ; Pregnancy ; Questionnaires ; Values ; Womens health</subject><ispartof>Obesity (Silver Spring, Md.), 2022-10, Vol.30 (10), p.2044-2054</ispartof><rights>2022 The Obesity Society.</rights><rights>Copyright Blackwell Publishing Ltd. Oct 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3307-d6aeec268cc2b13f8e024b35405f41e57ca859eec9982bb91703f4df36316ecf3</citedby><cites>FETCH-LOGICAL-c3307-d6aeec268cc2b13f8e024b35405f41e57ca859eec9982bb91703f4df36316ecf3</cites><orcidid>0000-0002-9350-9230 ; 0000-0001-6965-9696</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Foby.23517$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Foby.23517$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids></links><search><creatorcontrib>Wang, Yi</creatorcontrib><creatorcontrib>Wu, Ping</creatorcontrib><creatorcontrib>Huang, Yichao</creatorcontrib><creatorcontrib>Ye, Yi</creatorcontrib><creatorcontrib>Yang, Xue</creatorcontrib><creatorcontrib>Sun, Fengjiang</creatorcontrib><creatorcontrib>Ye, Yi‐Xiang</creatorcontrib><creatorcontrib>Lai, Yuwei</creatorcontrib><creatorcontrib>Ouyang, Jing</creatorcontrib><creatorcontrib>Wu, Linjing</creatorcontrib><creatorcontrib>Li, Yue</creatorcontrib><creatorcontrib>Li, Yanqin</creatorcontrib><creatorcontrib>Zhao, Bin</creatorcontrib><creatorcontrib>Wang, Yixin</creatorcontrib><creatorcontrib>Liu, Gang</creatorcontrib><creatorcontrib>Pan, Xiong‐Fei</creatorcontrib><creatorcontrib>Chen, Da</creatorcontrib><creatorcontrib>Pan, An</creatorcontrib><title>BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women</title><title>Obesity (Silver Spring, Md.)</title><description>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.</description><subject>Biomarkers</subject><subject>Body mass index</subject><subject>Disease</subject><subject>Genomes</subject><subject>Gestational diabetes</subject><subject>Glucose</subject><subject>Health risk assessment</subject><subject>Lipids</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Obesity</subject><subject>Plasma</subject><subject>Pregnancy</subject><subject>Questionnaires</subject><subject>Values</subject><subject>Womens health</subject><issn>1930-7381</issn><issn>1930-739X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp10D1PwzAQBuAIgUQpDPwDSywwpD3HcRKPtOKjUlEZQILJchy7uE3iYqeq-u9xCWJAYrobnjvdvVF0iWGEAZKxLfejhFCcH0UDzAjEOWFvx799gU-jM-9XAGkGFA-i58nTDIm2QrXZmMo2RqLS2Ea4tXIe7Uz3gZzxa2Q1Wirfic7YVtSoMqJUnfLItGjj1LIVbYd2tlHteXSiRe3VxU8dRq_3dy_Tx3i-eJhNb-exJATyuMqEUjLJCimTEhNdKEjSktAUqE6xorkUBWWBMFYkZclwDkSnlSYZwZmSmgyj637vxtnPbTiNN8ZLVdeiVXbreZIDA5wRwIFe_aEru3XhjYPCDNKUAg3qplfSWe-d0nzjTAhizzHwQ7Y8ZMu_sw123NudqdX-f8gXk_d-4gtWmHqF</recordid><startdate>202210</startdate><enddate>202210</enddate><creator>Wang, Yi</creator><creator>Wu, Ping</creator><creator>Huang, Yichao</creator><creator>Ye, Yi</creator><creator>Yang, Xue</creator><creator>Sun, Fengjiang</creator><creator>Ye, Yi‐Xiang</creator><creator>Lai, Yuwei</creator><creator>Ouyang, Jing</creator><creator>Wu, Linjing</creator><creator>Li, Yue</creator><creator>Li, Yanqin</creator><creator>Zhao, Bin</creator><creator>Wang, Yixin</creator><creator>Liu, Gang</creator><creator>Pan, Xiong‐Fei</creator><creator>Chen, Da</creator><creator>Pan, An</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9350-9230</orcidid><orcidid>https://orcid.org/0000-0001-6965-9696</orcidid></search><sort><creationdate>202210</creationdate><title>BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women</title><author>Wang, Yi ; Wu, Ping ; Huang, Yichao ; Ye, Yi ; Yang, Xue ; Sun, Fengjiang ; Ye, Yi‐Xiang ; Lai, Yuwei ; Ouyang, Jing ; Wu, Linjing ; Li, Yue ; Li, Yanqin ; Zhao, Bin ; Wang, Yixin ; Liu, Gang ; Pan, Xiong‐Fei ; Chen, Da ; Pan, An</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3307-d6aeec268cc2b13f8e024b35405f41e57ca859eec9982bb91703f4df36316ecf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biomarkers</topic><topic>Body mass index</topic><topic>Disease</topic><topic>Genomes</topic><topic>Gestational diabetes</topic><topic>Glucose</topic><topic>Health risk assessment</topic><topic>Lipids</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Obesity</topic><topic>Plasma</topic><topic>Pregnancy</topic><topic>Questionnaires</topic><topic>Values</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yi</creatorcontrib><creatorcontrib>Wu, Ping</creatorcontrib><creatorcontrib>Huang, Yichao</creatorcontrib><creatorcontrib>Ye, Yi</creatorcontrib><creatorcontrib>Yang, Xue</creatorcontrib><creatorcontrib>Sun, Fengjiang</creatorcontrib><creatorcontrib>Ye, Yi‐Xiang</creatorcontrib><creatorcontrib>Lai, Yuwei</creatorcontrib><creatorcontrib>Ouyang, Jing</creatorcontrib><creatorcontrib>Wu, Linjing</creatorcontrib><creatorcontrib>Li, Yue</creatorcontrib><creatorcontrib>Li, Yanqin</creatorcontrib><creatorcontrib>Zhao, Bin</creatorcontrib><creatorcontrib>Wang, Yixin</creatorcontrib><creatorcontrib>Liu, Gang</creatorcontrib><creatorcontrib>Pan, Xiong‐Fei</creatorcontrib><creatorcontrib>Chen, Da</creatorcontrib><creatorcontrib>Pan, An</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Obesity (Silver Spring, Md.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yi</au><au>Wu, Ping</au><au>Huang, Yichao</au><au>Ye, Yi</au><au>Yang, Xue</au><au>Sun, Fengjiang</au><au>Ye, Yi‐Xiang</au><au>Lai, Yuwei</au><au>Ouyang, Jing</au><au>Wu, Linjing</au><au>Li, Yue</au><au>Li, Yanqin</au><au>Zhao, Bin</au><au>Wang, Yixin</au><au>Liu, Gang</au><au>Pan, Xiong‐Fei</au><au>Chen, Da</au><au>Pan, An</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women</atitle><jtitle>Obesity (Silver Spring, Md.)</jtitle><date>2022-10</date><risdate>2022</risdate><volume>30</volume><issue>10</issue><spage>2044</spage><epage>2054</epage><pages>2044-2054</pages><issn>1930-7381</issn><eissn>1930-739X</eissn><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.</abstract><cop>Silver Spring</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/oby.23517</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-9350-9230</orcidid><orcidid>https://orcid.org/0000-0001-6965-9696</orcidid></addata></record> |
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| ispartof | Obesity (Silver Spring, Md.), 2022-10, Vol.30 (10), p.2044-2054 |
| issn | 1930-7381 1930-739X |
| language | eng |
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| source | Wiley Free Content; Wiley Online Library Journals Frontfile Complete |
| subjects | 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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