Evidence map›Paper›PMID 41461744›Full record

ArticleScientific reports2025

Gut microbiome and metabolite signatures for predicting acute kidney transplant rejection: a prospective study.

Hyunjeong Cho, Hoonsik Nam, Hyo-Eun Kim, Ji Eun Kim, Ji In Park, Jina Park, Yong Chul Kim, Jung Pyo Lee, Dong Ki Kim, Kwon Wook Joo and 4 more

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
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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

14 authors.

Hyunjeong Cho *Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Republic of Korea.
Hoonsik Nam *Natural Products Research Institute, College of Pharmacy, Seoul National University, Seoul, Republic of Korea.
Hyo-Eun KimDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea.
Ji Eun KimDepartment of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Ji In ParkDepartment of Medicine, Kangwon National University School of Medicine, Kangwon National University Hospital, Chuncheon, Republic of Korea.
Jina ParkBiomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
Yong Chul KimTransplantation Center, Seoul National University, Seoul, Republic of Korea.
Jung Pyo LeeDepartment of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Kwon Wook JooDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Yon Su KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Bong-Soo KimDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea.
Sunghyouk Park *Natural Products Research Institute, College of Pharmacy, Seoul National University, Seoul, Republic of Korea. psh@snu.ac.kr.
Hajeong Lee *Transplantation Center, Seoul National University, Seoul, Republic of Korea. mdhjlee9@snu.ac.kr.

Funding

by National Research Foundation grants funded by the Korean government 2022R1A2C2011190National Research Foundation grants funded by the Korean government 2018R1A3B1052328National Research Foundation grants funded by the Korean government 2021R1I1A1A01060190
6 · The paper itself

Abstract

Acute rejection (AR) remains a significant challenge in kidney transplantation (KT) despite advances in immunosuppressive treatment. Recognizing the critical influence of the gut microbiome on modulating host immunity, we investigated the association between gut dysbiosis and AR in KT recipients. A total of 97 patients with KT were prospectively enrolled from two centers, and their samples were collected at multiple time points, such as pre-transplant (n = 97), three months (n = 66), and twelve months (n = 37) post-transplant. Microbial profiling was performed using 16S rRNA sequencing and fecal metabolomics was done via nuclear magnetic resonance spectroscopy. Thirty-three patients developed AR after KT, exhibiting reduced bacterial richness and diversity compared with KT recipients without AR. In addition, these patients had increased Escherichia-Shigella and decreased Phascolarctobacterium abundance. Pathway analysis identified 47 enriched pathways in AR patients, notably those involved in lipopolysaccharide biosynthesis and short-chain fatty acid metabolism. Consistent results were obtained from stool metabolomics, showing reduced propionate and lactate concentrations compared with patients without AR. Finally, combining pre-KT bacterial and fecal metabolite features with clinical parameters significantly improved AR prediction accuracy. Our results suggest that integrating clinical, microbial, and metabolomic data may provide a more holistic patient care regimen across both pre- and post-transplant phases.

Indexed as

Gastrointestinal MicrobiomeGraft RejectionKidney TransplantationMetabolomeAdultDysbiosisFecesFemaleHumansMaleMetabolomicsMiddle AgedProspective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16SAcute rejectionGut microbiomeKidney transplantation

Identifiers

PMID41461744
PMCPMC12748614

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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 OpenQuestion graph.