Evidence map›Paper›PMID 40596241›Full record

ArticleScientific reports2025

Mendelian randomization study revealed a gut microbiota-immune system-kidney junction axis in chronic kidney disease.

Junjie Tan, Zhile Xiong, Shengyou Yu, Wei Lu, Li Yu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. RecombinantFrontiers in immunology · 2026
    Article
  4. Article
  5. Characterization of gut microbiota in patients with diabetic kidney disease.Frontiers in cellular and infection microbiology · 2026
    Article
  6. Review
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

5 authors.

Junjie Tan *Department of Pediatrics, The First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong Province, China.
Zhile Xiong *Institute of Microbiology, Infectious Diseases and Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany.
Shengyou YuDepartment of Pediatrics, The First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong Province, China.
Wei LuDepartment of Pediatrics, The First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong Province, China.
Li YuDepartment of Pediatrics, The First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong Province, China. yuli828@yeah.net.

Funding

Project of Guangdong Medical Science and Technology Research Fund A2022128 and A2024781Self-funded project of Qingyuan Science and Technology Plan 221101187687947
6 · The paper itself

Abstract

The alterations of the gut microbiome and cytokine profiles and an elevated risk has correlated with kidney disease progression. However, the causal relationship between gut microbiota and chronic kidney disease (CKD) or related kidney function, and whether cytokines and immune cells act as mediators, remains unclear. Using genome-wide association studies (GWAS) data for CKD, estimated glomerular filtration rate (eGFR) and UACR (urinary albumin to creatinine) from the CKDGen consortium, microbiome data from the MiBioGen consortium and the Dutch Microbiome Project (DMP), 41 cytokine and 731 immune cell traits were identified from large-scale GWAS summary data. We performed two-sample Mendelian randomization (MR) analysis to analyses the causal relationships between gut microbiome, circulating cytokines, immune cells and CKD, eGFR and UACR. In addition, we investigated whether cytokines and immune cells are the mediating factor in the pathway from gut microbiome to CKD, eGFR and UACR. We demonstrated the causal relationships between 8 gut microbiotas in MiBioGen and 8 gut microbiota and 6 metabolism pathways in DMP with CKD, 7 gut microbiotas in MiBioGen and 7 gut microbiota and 3 metabolism pathways with eGFR and 4 gut microbiotas in MiBioGen and 10 gut microbiota and 3 metabolism pathways in DMP with UACR. Additionally, we identified 25 cytokine and immune cell characteristics associated with CKD, 18 with eGFR and 22 with UACR. Importantly, we identified no cytokine, but several immune cell properties that mediate the effects of microbiome on CKD, eGFR and UACR through mediation MR analysis. For instance, Alistipes indistinctus and Alistipes putredinis affects CKD via CD28 + CD45RA + CD8 + T cell. The mediation effects highlighted the intricate relationship between gut microbiome exposure, immune cell activity, and their combined influence on CKD. This data supports a causal effect of the gut microbiome on CKD, eGFR and UACR and underscores the value of MR in clarifying causal relationships identified in microbiome-wide association studies. Circulating immune cells may act as mediators in the pathway linking gut microbiota to CKD progression.

Indexed as

Gastrointestinal MicrobiomeImmune SystemKidneyMendelian Randomization AnalysisRenal Insufficiency, ChronicCytokinesGenome-Wide Association StudyGlomerular Filtration RateHumansCytokinesCKDeGFRImmune cellsMediator analysisMendelian randomizationMicrobiomeUACR

Identifiers

PMID40596241
PMCPMC12216554

What Socratic holds

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Registered trials

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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 Socratic graph.