{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T08:59:30Z","timestamp":1790240370757,"version":"4.1.0"},"reference-count":42,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:00:00Z","timestamp":1790208000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:00:00Z","timestamp":1790208000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82574206"],"award-info":[{"award-number":["82574206"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82103924"],"award-info":[{"award-number":["82103924"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Projects of Shaanxi Province","doi-asserted-by":"publisher","award":["2025SF\u2010YBXM\u2010227"],"award-info":[{"award-number":["2025SF\u2010YBXM\u2010227"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Projects of Shaanxi Province","doi-asserted-by":"publisher","award":["2024SF2\u2010GJHX\u201020"],"award-info":[{"award-number":["2024SF2\u2010GJHX\u201020"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Diabetes Invest"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>This study aimed to examine the associations of maternal first\u2010trimester atherogenic index of plasma (AIP) with gestational diabetes mellitus (GDM) and birth weight outcomes, and the mediating role of second\u2010trimester blood glucose.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This prospective cohort study included 5,706 pregnant women without pre\u2010existing diabetes or other chronic diseases. AIP was calculated as log\n                      <jats:sub>10<\/jats:sub>\n                      [TG (mg\/dL)\/HDL\u2010C (mg\/dL)] from fasting lipid profiles. Generalized linear models and mediation analysis were used to assess the relationships between AIP and outcomes, and the mediating effects of blood glucose.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Participants had a mean maternal age of 29.3\u2009years, a mean first\u2010trimester AIP of 0.28\u2009\u00b1\u20090.19, GDM prevalence of 20.64%, and mean neonatal birth weight of 3314.05\u2009\u00b1\u2009442.11\u2009g. A 1\u2010unit increase in first\u2010trimester AIP was associated with greater birth weight (\u03b2: 93.12\u2009g, 95% CI: 39.38\u2013146.87), elevated GDM risk (RR: 2.08, 95% CI: 1.52\u20132.85), and higher risk of large\u2010for\u2010gestational\u2010age infants (RR: 1.67, 95% CI: 1.09\u20132.58). A nonlinear association was identified between first\u2010trimester AIP and birth weight, with a 158.95\u2009g (\u03b2: 158.95\u2009g, 95% CI: 90.70\u2013227.20) rise per 1\u2010unit elevation in AIP above 0.14. Fasting plasma glucose (FPG) mediated 28.35% of the association between AIP and birth weight, rising to 60.04% among women with GDM. The third\u2010trimester rise in AIP was significantly smaller in women with GDM.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>First\u2010trimester AIP appears to correlate with GDM and birth weight. Second\u2010trimester FPG mediates this association, particularly in mothers with GDM. These findings support the clinical value of early lipid monitoring in prenatal care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jdi.70452","type":"journal-article","created":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T08:02:45Z","timestamp":1790236965000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Association of atherogenic index of plasma with gestational diabetes mellitus and birth weight outcomes, and the mediating role of blood glucose"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6582-7856","authenticated-orcid":false,"given":"Doudou","family":"Zhao","sequence":"first","affiliation":[{"name":"Translational Medicine Center Northwest Women's and Children's Hospital  Xi'an 710061 China"},{"name":"Department of Health Statistics, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health Fourth Military Medical University  Xi'an 710032 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7549-2243","authenticated-orcid":false,"given":"Yanfang","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Health Statistics, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health Fourth Military Medical University  Xi'an 710032 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nan","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Health Statistics, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health Fourth Military Medical University  Xi'an 710032 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, School of Public Health Xi'an Jiaotong University Health Science Center  Xi'an 710061 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiting","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, School of Public Health Xi'an Jiaotong University Health Science Center  Xi'an 710061 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kangxin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, School of Public Health Xi'an Jiaotong University Health Science Center  Xi'an 710061 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Mi","sequence":"additional","affiliation":[{"name":"Department of Obstetrics Northwest Women's and Children's Hospital  Xi'an 710061 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0470-0066","authenticated-orcid":false,"given":"Lei","family":"Shang","sequence":"additional","affiliation":[{"name":"Department of Health Statistics, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health Fourth Military Medical University  Xi'an 710032 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2644-5812","authenticated-orcid":false,"given":"Pengfei","family":"Qu","sequence":"additional","affiliation":[{"name":"Translational Medicine Center Northwest Women's and Children's Hospital  Xi'an 710061 China"},{"name":"Central Laboratory, Beijing Obstetrics and Gynecology Hospital Capital Medical University  Chaoyang Beijing 100026 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is associated with foetal growth and the risk of a child born large\u2010for\u2010gestational age: A population\u2010based prospective cohort study: Maternal lipid profile in early pregnancy and foetal growth","volume":"18","author":"Adank MC","year":"2020","journal-title":"BMC Med"},{"key":"e_1_2_11_26_1","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1093\/ije\/dyz160","article-title":"Using a two\u2010sample Mendelian randomization design to investigate a possible causal effect of maternal lipid concentrations on offspring birth weight","volume":"48","author":"Hwang LD","year":"2019","journal-title":"Int J Epidemiol"},{"key":"e_1_2_11_27_1","doi-asserted-by":"crossref","first-page":"e3759","DOI":"10.1210\/clinem\/dgac360","article-title":"Maternal lipid metabolism is associated with neonatal adiposity: A longitudinal study","volume":"107","author":"Rojas\u2010Rodriguez R","year":"2022","journal-title":"J Clin Endocrinol 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