Evidence map›Paper›PMID 39715172›Full record

ArticlePloS one2024

Unveiling the intricate interplay: Exploring biological bridges between renal ischemia-reperfusion injury and T cell-mediated immune rejection in kidney transplantation.

Xinyi Xia, Xinrui Fan, Shan Jiang, Yuhan Liao, Yang Sun

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Xinyi XiaDepartment of Cardiology, Union Hospital, Huazhong University of Science and Technology and Key Laboratory of Biological Targeted Therapy of the Ministry of Education, Tongji Medical College, Wuhan, China.ORCID 0009-0004-3671-3800
Xinrui FanFaculty of Psychology, Sleep and NeuroImaging Center, Southwest University, Chongqing, China.
Shan JiangDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuhan LiaoDepartment of Cardiology, Union Hospital, Huazhong University of Science and Technology and Key Laboratory of Biological Targeted Therapy of the Ministry of Education, Tongji Medical College, Wuhan, China.
Yang SunDepartment of Medical Records Management and Statistics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0009-0004-0493-4588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the link between ischemia-reperfusion injury (IRI) and T cell-mediated rejection (TCMR) in kidney transplantation (KT) is well known, the mechanism remains unclear. We investigated essential genes and biological processes involved in interactions between IRI and TCMR.

methodsRenal IRI and TCMR datasets were obtained from the Gene Expression Omnibus database. IRI and TCMR co-expression networks were built using weighted gene co-expression network analysis, and essential modules were identified to acquire shared genes and conduct functional enrichment analysis. Shared genes were used for TCMR consensus clustering, differentially expressed genes (DEGs) were identified, and gene set enrichment analysis (GSEA) was conducted. Three machine learning algorithms screened for hub genes, which underwent miRNA prediction and transcription factor analysis. Hub gene expression was verified, and survival analysis was performed using Kaplan-Meier curves.

resultsIRI and TCMR shared 84 genes. Functional enrichment analysis revealed that inflammation played a significant role. Based on shared genes, TCMR was divided into two clusters. GSEA revealed that graft rejection-related pathways varied between the two clusters. TCMR hub genes, guanylate-binding protein 1 (GBP1) and CD69, showed increased expression. Decreased survival rates were found in patients who had undergone KT and had high GBP1 and CD69 levels.

conclusionsThe study demonstrates that renal IRI has a potential role in renal TCMR and the pathogenic pathways are potentially inflammation-related.

Indexed as

Graft RejectionKidney TransplantationReperfusion InjuryT-LymphocytesAntigens, CDAntigens, Differentiation, T-LymphocyteCD69 AntigensGene Expression ProfilingGene Regulatory NetworksHumansKidneyLectins, C-TypeMicroRNAsAntigens, CDAntigens, Differentiation, T-LymphocyteCD69 AntigensLectins, C-TypeMicroRNAs

Identifiers

PMID39715172
PMCPMC11666032

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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.