Evidence map›Paper›PMID 40148878›Full record

ArticleBiology direct2025

Identification of druggable targets in acute kidney injury by proteome- and transcriptome-wide Mendelian randomization and bioinformatics analysis.

Jiachen Liu, Dianjie Zeng, Yinhuai Wang, Fei Deng, Shuiqing Wu, Zebin Deng

Abstract read
In one paragraph

Article in Biology direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Mechanism-centered target discovery across glomerulonephritis phenotypes: an integrative multi-omics study.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. 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.

Jiachen Liu *Department of Urology, The Second Xiangya Hospital at Central South University, Changsha, 410011, Hunan, China.
Dianjie Zeng *Department of Urology, The Second Xiangya Hospital at Central South University, Changsha, 410011, Hunan, China.
Yinhuai WangDepartment of Urology, The Second Xiangya Hospital at Central South University, Changsha, 410011, Hunan, China.
Fei DengDepartment of Urology, The Second Xiangya Hospital at Central South University, Changsha, 410011, Hunan, China.
Shuiqing WuDepartment of Urology, The Second Xiangya Hospital at Central South University, Changsha, 410011, Hunan, China. wushuiqing@csu.edu.cn.
Zebin DengDepartment of Urology, The Second Xiangya Hospital at Central South University, Changsha, 410011, Hunan, China. zebindeng@csu.edu.cn.

Funding

Natural Science Foundation of Hunan Province, China 2023JJ40861
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) remains a critical condition with limited therapeutic options, predominantly managed by renal replacement therapy. The challenge of developing targeted treatments persists.

methodsWe integrated genetic data related to druggable proteins and gene expression with AKI genome-wide association study (GWAS) findings. Based on multi-omics Mendelian randomization (MR), we identified the potential causal influence of 5,883 unique proteins and genes on AKI. We also performed using reverse MR and external cohort-based analysis to verify the robustness of this causal relationship. Expression patterns of these targets were examined using bulk transcriptome and single-cell transcriptome data. In addition, drug repurposing analyses were conducted to explore the potential of existing medications. We also constructed a molecular interaction network to explore the interplay between identified targets and known drugs.

resultsGenetically predicted levels of seven proteins and twelve genes were associated with an increased risk of AKI. Of these, six targets (NCF1, TNFRSF1B, APEH, ACADSB, ADD1, and FAM3B) were prioritized based on robust evidence and validated in independent cohorts. Reverse MR showed a one-way causal relationship of targets. These targets are predominantly expressed in proximal tubular cells, endothelial cells, collecting duct-principal cells, and immune cells within both AKI-affected and normal tissues. Several promising drug repurposing opportunities were identified, such as telmisartan-NCF1, calcitriol-ACADSB, and ethinyl estradiol-ACADSB. The molecular interaction mapping and pathway integration analysis provided further insights, suggesting potential strategies for combinatorial therapies.

conclusionsThis extensive investigation identified several promising therapeutic targets for AKI and highlighted opportunities for drug repurposing. These findings offer valuable insights that could shape future research and the development of targeted treatments.

Indexed as

Acute Kidney InjuryComputational BiologyProteomeTranscriptomeAnimalsDisease Models, AnimalHumansMendelian Randomization AnalysisMiceSingle-Cell AnalysisProteomeAcute kidney injuryBioinformaticsDrug repositioningMendelian randomizationProteomicsTranscriptomics

Identifiers

PMID40148878
PMCPMC11951703

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.