Evidence map›Paper›PMID 39133689›Full record

ArticlePloS one2024

An untargeted comparative metabolomics analysis of infants with and without late-onset breast milk jaundice.

Mingxuan Cui, Qianying Guo, Shilong Zhao, Xinran Liu, Chen Yang, Peng Liu, Linlin Wang

Abstract readComparative Study
In one paragraph

Article in PloS one, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mingxuan CuiDepartment of Clinical Nutrition, Peking University People's Hospital, Beijing, China.
Qianying GuoDepartment of Clinical Nutrition, Peking University People's Hospital, Beijing, China.
Shilong ZhaoDepartment of Clinical Nutrition, Peking University People's Hospital, Beijing, China.
Xinran LiuDepartment of Clinical Nutrition, Peking University People's Hospital, Beijing, China.
Chen YangInstitute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, School of Public Health, Peking University, Beijing, China.
Peng LiuDepartment of Clinical Nutrition, Peking University People's Hospital, Beijing, China.ORCID 0000-0002-8484-6374
Linlin WangInstitute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLate-onset breast milk jaundice (LBMJ) is a common form of hyperbilirubinemia, which can result in serious complications for newborns with persistently high bilirubin levels. The aim of this study was to investigate the differences in fecal metabolites between breastfed infants with and without LBMJ in order to elucidate potential biological mechanisms.

methodsBiological samples were collected from 12 infants with LBMJ and 12 healthy individuals. Ultra-high performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UHPLC-Q-TOF/MS) was utilized for non-targeted determination of fecal metabolites. Principal components analysis (PCA), cluster analysis, and differential metabolite analysis were performed in both positive ion mode and negative ion mode for the two groups. Additionally, the KEGG database was employed to comprehensively analyze the pathways of differential metabolites.

resultsThere were no significant differences in maternal and neonatal demographic characteristics between the two groups (p > 0.05). The results of PCA and cluster heat map analysis in both modes showed that there were significant differences in metabolites between the two groups. Among 751 differential metabolites (DMs) detected in positive ion mode, 720 were up-regulated in the case group while 31 were down-regulated. In negative ion mode, 1891 DMs were detected, including 817 up-regulated metabolites and 1074 down-regulated metabolites in the case group. Analysis of differential metabolic pathways showed that the DMs of the two groups were mainly annotated and enriched in Biotin metabolism, N-Glycan biosynthesis, Taurine and hypotaurine metabolism, Pyrimidine metabolism, and Pentose and glucuronate interconversions.

conclusionSignificant differences exist in fecal metabolites between LBMJ infants and healthy controls. The study of differential metabolic pathways provides insights into the mechanism of LBMJ.

Indexed as

MetabolomicsMilk, HumanBreast FeedingCase-Control StudiesChromatography, High Pressure LiquidFecesFemaleHumansInfantInfant, NewbornMalePrincipal Component AnalysisTandem Mass Spectrometry

Identifiers

PMID39133689
PMCPMC11318923

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