Evidence map›Paper›PMID 39627404›Full record

ArticleScientific reports2024

Metabolomic and transcriptomic insights into the mechanisms of renal ischemia-reperfusion injury progression.

Wanyi Li, Xiaoqing Liu, Honglin Li, Jiawei Zeng, Yan Chen, Bei Xu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Interplay between ischemia-reperfusion and metabolic reprogramming.Apoptosis : an international journal on programmed cell death · 2026
    Review
  4. Article
  5. 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

6 authors.

Wanyi LiDepartment of Clinical Laboratory, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, Sichuan, China.
Xiaoqing LiuDepartment of Clinical Laboratory, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, Sichuan, China.
Honglin LiDepartment of Clinical Laboratory, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, Sichuan, China.
Jiawei ZengDepartment of Clinical Laboratory, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, Sichuan, China. zjweee@sina.cn.
Yan ChenDepartment of Pharmacy, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, 610000, Sichuan, China. chenyanyaoxuebu@scszlyy.org.cn.
Bei XuDepartment of Clinical Laboratory, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, Sichuan, China. xb1990625@126.com.

Funding

Institution-level Research Project of Mianyang Central Hospital 2022YJ007NHC Key Laboratory of Nuclear Technology Medical Transformation 2022HYX007Project Foundation of Sichuan Provincial Health Commission 19ZD010the General Program of Natural Science Foundation of Sichuan Province 2022NSFSC0814Youth Fund, the National Natural Science Foundation of China 82202616
6 · The paper itself

Abstract

Renal ischemia-reperfusion injury (IRI) is an important cause of acute kidney injury (AKI). However, the pathophysiological changes and mechanisms during IRI-AKI progression remain unclear. This study aims toinvestigate the potential mechanisms in the progression of IRI-AKI by integrating metabolomics and transcriptomics data, providing a reference for the subsequent identification of biomarkers and therapeutic targets. IRI-AKI rat models with 30 min of ischemia and 24-72 h of reperfusion surgery simulating the progression of AKI were established. Compared to the control group underwent sham surgery (NC group), most of the differentially expressed metabolites (DEMs) in IRI-AKI 24 h and IRI-AKI 72 h decreased, mainly including amino acids, organic acids, and carnitines. Additionally, we found that DEMs were mainly enriched in amino acid-related pathways, among which valine, leucine, and isoleucine biosynthesis were dramatically altered in all comparisons. Transcriptomics revealed that differentially expressed genes (DEGs) were primarily involved in amino acid, lipid, and fatty acid metabolism. By integrating metabolomics and transcriptomics, we found valine, leucine, and isoleucine biosynthesis play key roles in IRI-AKI development. Our findings concluded that valine, leucine, and isoleucine pathways are hubs that potentially connect transcriptomes to metabolomes, providing new insights regarding the pathogenesis of IRI-AKI and its potential biomarkers and therapeutic strategies.

Indexed as

Acute Kidney InjuryMetabolomicsReperfusion InjuryTranscriptomeAnimalsBiomarkersDisease Models, AnimalDisease ProgressionGene Expression ProfilingIsoleucineKidneyLeucineMaleMetabolomeRatsRats, Sprague-DawleyBiomarkersIsoleucineLeucineValineAcute kidney injuryIschemia–reperfusion injuryMetabolomicsTranscriptomics

Identifiers

PMID39627404
PMCPMC11615214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.