Evidence map›Paper›PMID 40272147›Full record

ArticlemSystems2025

Gut microbiome and metabolome profiles in renal allograft rejection from multiomics integration.

Xing Dai, Yu Cao, Lin Li, Yue-Xin Gao, Jian-Xi Wang, Yao-Juan Liu, Ting-Ting Ma, Jian-Ming Zheng, Pan-Pan Zhan, Zhong-Yang Shen

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Xing DaiFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Yu CaoDepartment of Kidney Transplantation, Tianjin First Central Hospital, Tianjin, China.
Lin LiOrgan Transplantation Research Center, Tianjin First Central Hospital, Tianjin, China.
Yue-Xin GaoFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Jian-Xi WangOrgan Transplantation Research Center, Tianjin First Central Hospital, Tianjin, China.
Yao-Juan LiuOrgan Transplantation Research Center, Tianjin First Central Hospital, Tianjin, China.
Ting-Ting MaBiological Sample Resource Sharing Center, Tianjin First Central Hospital, Tianjin, China.
Jian-Ming ZhengDepartment of Kidney Transplantation, Tianjin First Central Hospital, Tianjin, China.
Pan-Pan ZhanOrgan Transplantation Research Center, Tianjin First Central Hospital, Tianjin, China.ORCID 0000-0001-6273-6062
Zhong-Yang ShenOrgan Transplantation Research Center, Tianjin First Central Hospital, Tianjin, China.ORCID 0009-0000-2212-4539

Funding

Institute of Transplantation Medicine NanKai University NKTM2023005National Major Science and Technology Projects of China 82127808National Natural Science Foundation of China 81921004National Natural Science Foundation of China 82241219
6 · The paper itself

Abstract

The gut microbiome and metabolome play crucial roles in renal allograft rejection progression. Integrated multiomics analyses may provide a comprehensive understanding of specific underlying mechanisms, which remain elusive. This study aimed to identify new approaches for clinical renal allograft rejection diagnosis and treatment. Thirty-five patients were divided into three groups: the rejection ( IMPORTANCE: This study aimed to screen new markers for non-invasive diagnosis by the gut microbiome and metabolome analysis, providing new insights into rejection mechanisms and identifying new approaches for clinical renal allograft rejection diagnosis.

Indexed as

Gastrointestinal MicrobiomeGraft RejectionKidney TransplantationMetabolomeAdultFecesFemaleHumansMaleMetabolomicsMiddle AgedMultiomicsgut microbiomekidney transplantationmetabolomeprediction modelrejection

Identifiers

PMID40272147
PMCPMC12090775

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.