Evidence map›Paper›PMID 40775606›Full record

ArticleRenal failure2025

Gut microbiome and peritoneal inflammation: a new perspective on peritoneal dialysis-associated peritonitis.

Penghao Xu, Mengjie Zhang, Shiyan Cui, Lingling Wang, Yanni Li, Yuchen Li, Chen Jiang

Abstract read
In one paragraph

Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Penghao XuDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Mengjie ZhangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shiyan CuiDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Lingling WangDepartment of Biostatistics, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Yanni LiDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yuchen LiDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chen JiangDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGut microbiome disorders and intestinal barrier damage were found in peritonitis. However, the relationship between the gut microbiome and peritoneal dialysis-associated peritonitis (PDAP) remains unknown. This study aimed to investigate the role of the gut microbiome in PDAP and explore its correlation with intra-abdominal inflammation.

methodsWe used a two-fold strategy to investigate the causal relationship between the gut microbiome and PDAP. First, a Mendelian randomization (MR) study was conducted using summarized statistics from genome-wide association studies (GWAS) of the gut microbiome and peritonitis. Additionally, a case-control study with 24 patients from the peritoneal dialysis (PD) and PDAP groups were conducted to validate the role of candidate bacteria in peritonitis, using 16S rRNA sequencing to capture their gut microbiomes.

resultsWe screened four protective and one risky bacteria for peritonitis using MR analysis. The results of MR analysis were validated in the case-control study. We observed a shift in the co-occurrence pattern from the PD group to the PDAP group, suggesting potential destabilization of the gut bacterial network in the PDAP group. Furthermore, analysis of 17 protective and three risky bacteria revealed differential bacteria through LefSe and random forest analyses. Among these, we observed a significant negative correlation between

conclusionGut microbiome dysbiosis in peritoneal dialysis patients is a significant contributing factor to PDAP, with alterations in microbial abundance showing a strong correlation with the severity of intraperitoneal inflammation.

Indexed as

DysbiosisGastrointestinal MicrobiomeKidney Failure, ChronicPeritoneal DialysisPeritonitisAdultAgedCase-Control StudiesFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 16Samplicon sequencingcytokinegut microbiomeMendelian randomizationPeritoneal dialysis-associated peritonitis

Identifiers

PMID40775606
PMCPMC12332992

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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.