Evidence map›Paper›PMID 40491434›Full record

ArticleFrontiers in cellular and infection microbiology2025

Fecal 16S rRNA sequencing and metabolomics reveal abnormal metabolism activity in preterm infants with different gestational ages.

Ling Liu, Liang Guo, Jincheng Dai, Xiangsheng Cai, Benqing Wu

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In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. 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

5 authors.

Ling Liu *Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Liang Guo *Department of Neonatology, Guangming District People's Hospital, Shenzhen, China.
Jincheng DaiDepartment of Pediatrics, Guangming District People's Hospital, Shenzhen, China.
Xiangsheng CaiClinical Laboratory, Guangzhou Eleventh People's Hospital, Guangzhou Carde and Talent Health Management Center, Guangzhou, China.
Benqing WuDepartment of Neonatology, Guangming District People's Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to conduct a comprehensive analysis of the differences in gut microbiota and metabolomics in preterm infants stratified by gestational age. Methods: Fresh fecal samples were collected from neonates within the first 3 days after birth. The gut microbiota composition and the changes in specific taxa abundance were analyzed using 16S rRNA sequencing. Metabolomic profiling was performed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Participants were categorized into four groups based on gestational age at birth: PreA group (34-36 weeks), PreB group (32-33 weeks), PreC group (28-31 weeks), and control group (37-42 weeks). Metabolic pathways were identified through metabolomics analysis, referencing the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Results: Notably, Principal Coordinates Analysis (PCoA) showed clear separation among samples from all groups, with significant differences noted in the PreC group when compared with the other three. We found a strong association between Conclusion: Significant differences were observed in the fecal microbiome and metabolome between preterm and full-term infants, particularly in those born before 32 weeks of gestation. These findings suggested that the gut microbial system in preterm infants undergone progressive maturation, approaching a "healthy" state characteristic of full-term infants as gestational age increases.

Indexed as

BacteriaFecesGastrointestinal MicrobiomeGestational AgeInfant, PrematureMetabolomicsRNA, Ribosomal, 16SChromatography, LiquidDNA, BacterialFemaleHumansInfant, NewbornMaleMetabolic Networks and PathwaysMetabolomeSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16Sgut microbiotaintestinal metabolitesmicrobial diversitypreterm infantspyrimidine metabolism

Identifiers

PMID40491434
PMCPMC12146292

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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.