Evidence map›Paper›PMID 42746483›Full record

ArticleFrontiers in microbiology2026

The association between neonatal respiratory distress syndrome and gut microbiota dysbiosis: evidence from metagenomics.

Faqun Liu, Jinghua Luo, Lihua Feng, Yanan Xia, Xiangxiang Chen, Yunping Xu, Yang Liu

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Faqun LiuDepartment of Pediatrics, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Jinghua LuoDepartment of Pediatrics, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Lihua FengDepartment of Pediatrics, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yanan XiaDepartment of Pediatrics, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Xiangxiang ChenDepartment of Pediatrics, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yunping XuDepartment of Pediatrics, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yang LiuDepartment of Pediatrics, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Neonatal respiratory distress syndrome (NRDS) is a common and life-threatening respiratory disorder that affects newborns, significantly impacting their health and survival rates. In recent years, the potential role of the gut-lung axis in NRDS has garnered increasing attention; however, the specific mechanisms involved remain unclear. This study aimed to investigate the association between NRDS and gut microbial composition and functional profiles using shotgun metagenomic sequencing. Methods: This case-control study recruited 25 infants diagnosed with NRDS and 15 healthy newborns, all aged between 2 and 6 days. Fecal samples were collected from all participants for subsequent metagenomic sequencing and bioinformatics analysis. Results: There was no significant difference in α-diversity between the NRDS group and the control (CON) group ( Conclusion: NRDS was associated with differences in gut microbial composition and shotgun-metagenomic functional profiles. These preliminary findings characterize group-level microbial differences but do not establish whether the observed alterations preceded or resulted from NRDS. Longitudinal studies are required to clarify their temporal relationship and clinical relevance.

Indexed as

gut-lung axisgut microbiotametagenomicsneonatal respiratory distress syndromepreterm neonates

Identifiers

PMID42746483
PMCPMC13576262

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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.