{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T13:30:24Z","timestamp":1789047024896,"version":"build-2803163510"},"reference-count":51,"publisher":"Walter de Gruyter GmbH","issue":"7","license":[{"start":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T00:00:00Z","timestamp":1785888000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,9,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_jpm-2026-0085_abs_001\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To examine the interrelationships between maternal anthropometry, trimester-specific metabolic biomarkers, placental morphometry, and neonatal anthropometric outcomes in a South Asian population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0085_abs_002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this prospective longitudinal cohort (January 2023\u2013December 2024), 250 eligible singleton pregnancies were recruited at &lt;12 weeks\u2019 gestation from a tertiary-care center. Maternal anthropometry, glucose metabolism (OGTT), insulin resistance (HOMA-IR), and lipid profile (TC, LDL-C, HDL-C, triglycerides) were assessed across all trimesters. Placental morphometry was measured immediately postpartum. Neonatal anthropometry was assessed within 24\u201348\u202fh of birth. Associations were analyzed using correlation matrices, regression modelling, and trimester-stratified analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0085_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Despite a relatively lean maternal profile (mean BMI 23.4\u202fkg\/m\n                      <jats:sup>2<\/jats:sup>\n                      ), metabolic abnormalities were highly prevalent (GDM: 30\u201348\u202f%; IR: 72\u201377\u202f%). Lipid parameters showed trimester specific alterations. Gestational weight gain correlated modestly with birthweight (\u03c1=0.226). Placental weight and thickness showed strong associations with birthweight (\u03c1=0.523; \u03c1=0.517) and neonatal fat mass (\u03c1=0.423). First-trimester GDM and IR were associated with increased neonatal length, while second-trimester GDM predicted larger head circumference. Across all trimesters, GDM showed inverse associations with neonatal skinfold thickness. Third-trimester LDL-C, triglycerides, and total cholesterol were the strongest predictors of neonatal adiposity, with minimal influence on skeletal growth.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0085_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Maternal metabolic perturbations exert trimester-specific influences on placental structure and neonatal anthropometry, with late-pregnancy lipids showing the strongest association with neonatal adiposity. Placental morphometry functions as a key mediator of maternal\u2013fetal metabolic interactions. These findings support comprehensive metabolic screening in pregnancy and provide population-specific evidence to guide targeted antenatal interventions in South Asian settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/jpm-2026-0085","type":"journal-article","created":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T02:55:48Z","timestamp":1785812148000},"page":"1134-1146","source":"Crossref","is-referenced-by-count":0,"title":["Maternal anthropometry, trimester-specific metabolic profiles, and placental morphometry as determinants of neonatal growth: a prospective maternal\u2013placental\u2013fetal cohort study"],"prefix":"10.1515","volume":"54","author":[{"given":"Dalia","family":"Rafat","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynaecology , Jawaharlal Nehru Medical College, AMU , Aligarh , UP , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohsina Zahera","family":"Majeedi","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology , Jawaharlal Nehru Medical College, AMU , Aligarh , UP , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tabassum","family":"Nawab","sequence":"additional","affiliation":[{"name":"Department of Community Medicine , Jawaharlal Nehru Medical College, AMU , Aligarh , UP , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamid","family":"Ashraf","sequence":"additional","affiliation":[{"name":"Rajiv Gandhi Centre for Diabetes and Endocrinology , Jawaharlal Nehru Medical College, AMU , Aligarh , UP , India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,8,5]]},"reference":[{"key":"2026091012590223974_j_jpm-2026-0085_ref_001","doi-asserted-by":"crossref","unstructured":"Gluckman, PD, Hanson, MA. 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