{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T21:07:24Z","timestamp":1790802444399,"version":"4.1.0"},"reference-count":42,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T00:00:00Z","timestamp":1738022400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006769","name":"Russian Science Foundation","doi-asserted-by":"publisher","award":["24-64-00006"],"award-info":[{"award-number":["24-64-00006"]}],"id":[{"id":"10.13039\/501100006769","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>The prevalence of fetal macrosomia is steadily increasing worldwide, reaching up to 20%. Fetal macrosomia complicates pregnancy and delivery. Current prediction strategies are inaccurate, and most patients with fetal macrosomia go into labor with an \u201cunknown status\u201d. The aim of this study was to develop a system for predicting fetal macrosomia based on the lipid profiles of pregnant women\u2019s blood serum. In total, 110 patients were included in this study: 30 patients had gestational diabetes mellitus (GDM) and 80 did not. During the observation, blood samples were collected at three time points: in the first trimester (11\u201313 weeks of pregnancy), in the second trimester (24\u201326 weeks), and in the third trimester (30\u201332 weeks). Lipids were detected by flow injection analysis with mass spectrometry. Lipid profiles of pregnant women were discriminated by orthogonal projection on latent structure discriminant analysis (OPLS-DA) in all three trimesters. The developed OPLS-DA models allowed for the prediction of the occurrence of fetal macrosomia during pregnancy. Three sets of models were developed: models independent of GDM status with a sensitivity of 0.85 and specificity of 0.91, models for patients with positive GDM status with a sensitivity of 0.91 and specificity of 0.96, and models for patients with negative GDM status with a sensitivity of 0.93 and specificity of 0.92. Phosphatidylcholines and sphingomyelins were the most important discriminative features. These lipid groups probably play an important role in the pathogenesis of fetal macrosomia and may serve as laboratory markers of this pregnancy complication.<\/jats:p>","DOI":"10.3390\/ijms26031149","type":"journal-article","created":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T10:44:30Z","timestamp":1738061070000},"page":"1149","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Early Prediction of Fetal Macrosomia Through Maternal Lipid Profiles"],"prefix":"10.3390","volume":"26","author":[{"given":"Vitaliy","family":"Chagovets","sequence":"first","affiliation":[{"name":"National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natalia","family":"Frankevich","sequence":"additional","affiliation":[{"name":"National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6650-5915","authenticated-orcid":false,"given":"Natalia","family":"Starodubtseva","sequence":"additional","affiliation":[{"name":"National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia"},{"name":"Moscow Center for Advanced Studies, 123592 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alisa","family":"Tokareva","sequence":"additional","affiliation":[{"name":"National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elena","family":"Derbentseva","sequence":"additional","affiliation":[{"name":"National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergey","family":"Yuryev","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Siberian State Medical University, 634050 Tomsk, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anastasia","family":"Kutzenko","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Siberian State Medical University, 634050 Tomsk, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gennady","family":"Sukhikh","sequence":"additional","affiliation":[{"name":"National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia"},{"name":"Department of Obstetrics, Gynecology, Perinatology and Reproductology, Institute of Professional Education, Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov, First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), 119991 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vladimir","family":"Frankevich","sequence":"additional","affiliation":[{"name":"National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia"},{"name":"Laboratory of Translational Medicine, Siberian State Medical University, 634050 Tomsk, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1111\/jhn.12999","article-title":"Overweight, obesity and excessive weight gain in pregnancy as risk factors for adverse pregnancy outcomes: A narrative review","volume":"35","author":"Pearce","year":"2022","journal-title":"J. Hum. Nutr. 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