Evidence map›Paper›PMID 42740977›Full record

ArticleFrontiers in endocrinology2026

Combined cord blood metabolomic and clinical signatures discriminate small for gestational age neonates in preeclampsia.

Luhan Zhang, Weibo Huang, Shuyuan Xue, Xiaolan Chi, Gang Guo, Guifeng Ding

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Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Luhan ZhangXinjiang Clinical Research Center for Perinatal Diseases, Urumqi Maternal and Child Health Hospital, Urumqi, China.
Weibo HuangSchool of Medicine, Shihezi University, Shihezi, Xinjiang, China.
Shuyuan XueXinjiang Clinical Research Center for Perinatal Diseases, Urumqi Maternal and Child Health Hospital, Urumqi, China.
Xiaolan ChiXinjiang Clinical Research Center for Perinatal Diseases, Urumqi Maternal and Child Health Hospital, Urumqi, China.
Gang GuoXinjiang Clinical Research Center for Perinatal Diseases, Urumqi Maternal and Child Health Hospital, Urumqi, China.
Guifeng DingXinjiang Clinical Research Center for Perinatal Diseases, Urumqi Maternal and Child Health Hospital, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preeclampsia (PE) subjects the fetus to a hostile intrauterine environment and elevates the risk of small for gestational age (SGA). The link between cord blood metabolic signs and PE exposure is still unclear. This connection may affect fetal growth. Methods: We did untargeted metabolomics profiling of cord blood. This involved 37 pregnancies with preeclampsia (PE) and 48 control pregnancies. We used liquid chromatography-mass spectrometry for the analysis. Researchers examined metabolites that showed differential expression. They also analyzed pathway enrichment. We used Spearman's correlation to assess associations between metabolites and clinical indicators, including birth weight. We created a discriminative model for SGA. It combines metabolic features and clinical variables. Results: In the PE group, 205 metabolites changed significantly. Of these, 82 were upregulated and 123 were downregulated. Caffeine metabolism, lysine biosynthesis, and sulfur metabolism were the top three pathways affected. Among the dysregulated metabolites, 2-oxoadipic acid is important in lysine breakdown. It showed a strong negative link with birth weight ( Conclusions: PE greatly changes the cord blood metabolome. This has a primary impact on caffeine, lysine, and sulfur metabolism. 2-Oxoadipic acid is linked to fetal growth restriction. Combining cord blood metabolic signatures with clinical data makes a strong model. These findings reveal metabolite-level disturbances that may help elucidate the metabolic basis of impaired fetal growth in preeclampsia.

Indexed as

BiomarkersFetal BloodFetal Growth RetardationInfant, Small for Gestational AgeMetabolomeMetabolomicsPre-EclampsiaAdultBirth WeightCase-Control StudiesFemaleGestational AgeHumansInfant, NewbornPregnancyBiomarkers2-Oxoadipic acidcaffeine metabolismenrichment analysismetabolomicspreeclampsiasmall for gestational age infants

Identifiers

PMID42740977
PMCPMC13572225

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.