{"title":"Birthweight predicts unfavorable adolescent immunometabolic trajectories leading to adult atypical depression in the ALSPAC cohort.","authors":"Qizhou Xia, Carine Parent, Guillaume Elgbeili, Irina Pokhvisneva, Patricia Pelufo Silveira","doi":"10.1038/s43856-026-01788-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Lower birthweight, a marker of prenatal adversity, is associated with adverse health outcomes, including psychopathology and immune-metabolic alterations. This study tests whether longitudinal trajectories of chronic immune-metabolic alteration across adolescence, a period of rapid physiological changes, are predicted by birthweight and associated with subsequent depression risk, notably the atypical subtype. We aim to clarify pathways linking prenatal adversity to psychopathology.</p><p><strong>Methods: </strong>We derived a latent immune-metabolic factor at ages 15, 17, and 24 from standardized C-reactive protein and Homeostatic measurement of insulin resistance in participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (N = 3000). We used latent class mixed modeling to identify immune-metabolic trajectory classes. Depression at 24 was measured on the International Classification of Diseases-10 criteria; atypical features were operationalized as the presence of neurovegetative symptoms (e.g. hypersomnia, hyperphagia). Inverse-probability weighting was used to mitigate selection bias.</p><p><strong>Results: </strong>Here we show that a four-class quadratic model best fits the data. Membership in the late-adolescence-peaking trajectory is associated with higher odds of depression at 24 (Weighted-Beta=0.767, p = 0.047, OR = 2.15, 95%CI:1.20-3.88), and, notably, of depression with atypical symptoms (Weighted-Beta=1.25, p = 0.0035, OR = 3.50, 95%CI:1.50-8.11). Birthweight is inversely associated with odds of experiencing an unfavourable late-peak trajectory group (Weighted-Beta = -1.99, robust p = 0.0313, OR = 0.14, 95%CI:0.02-0.84). Sex demonstrates a marginal moderating effect (p = 0.050), with the association between birthweight and late-peak trajectory membership being more pronounced in females.</p><p><strong>Conclusions: </strong>Findings provide longitudinal evidence that prenatal adversity, indexed by lower birthweight, predicts individuals experiencing unfavourable adolescent immune-metabolic trajectories that are associated with adult depression, particularly with atypical features. Results suggest that developmental immune-metabolic trajectories could eventually inform patient clinical stratification and point to late adolescence as a possible intervention window.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":" ","pages":""},"PeriodicalIF":7.4000,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s43856-026-01788-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Lower birthweight, a marker of prenatal adversity, is associated with adverse health outcomes, including psychopathology and immune-metabolic alterations. This study tests whether longitudinal trajectories of chronic immune-metabolic alteration across adolescence, a period of rapid physiological changes, are predicted by birthweight and associated with subsequent depression risk, notably the atypical subtype. We aim to clarify pathways linking prenatal adversity to psychopathology.
Methods: We derived a latent immune-metabolic factor at ages 15, 17, and 24 from standardized C-reactive protein and Homeostatic measurement of insulin resistance in participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (N = 3000). We used latent class mixed modeling to identify immune-metabolic trajectory classes. Depression at 24 was measured on the International Classification of Diseases-10 criteria; atypical features were operationalized as the presence of neurovegetative symptoms (e.g. hypersomnia, hyperphagia). Inverse-probability weighting was used to mitigate selection bias.
Results: Here we show that a four-class quadratic model best fits the data. Membership in the late-adolescence-peaking trajectory is associated with higher odds of depression at 24 (Weighted-Beta=0.767, p = 0.047, OR = 2.15, 95%CI:1.20-3.88), and, notably, of depression with atypical symptoms (Weighted-Beta=1.25, p = 0.0035, OR = 3.50, 95%CI:1.50-8.11). Birthweight is inversely associated with odds of experiencing an unfavourable late-peak trajectory group (Weighted-Beta = -1.99, robust p = 0.0313, OR = 0.14, 95%CI:0.02-0.84). Sex demonstrates a marginal moderating effect (p = 0.050), with the association between birthweight and late-peak trajectory membership being more pronounced in females.
Conclusions: Findings provide longitudinal evidence that prenatal adversity, indexed by lower birthweight, predicts individuals experiencing unfavourable adolescent immune-metabolic trajectories that are associated with adult depression, particularly with atypical features. Results suggest that developmental immune-metabolic trajectories could eventually inform patient clinical stratification and point to late adolescence as a possible intervention window.