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September 5, 2025Journal of Cellular and Molecular MedicineOpen Access

Integrating Multi‐Omics Data Using Machine Learning to Explore New Therapeutic Targets for Acute Kidney Injury

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Authors

QGQiming GongYWYakun WangFLFahui Liu

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Overview

Bioinformatics analysis reveals ADAMTS1 as a target in acute kidney injury, suggesting new interventions.

Key Points

  • ADAMTS1 significantly regulates the progression of I/R-induced acute kidney injury and may serve as a therapeutic target.
  • Inhibition of ADAMTS1 with troglitazone reduces functional damage in mouse models of renal ischemia-reperfusion injury.
  • A robust diagnostic model for I/R-AKI was developed, improving understanding of the molecular mechanisms involved.
  • Bioinformatics techniques were crucial in identifying key molecular factors and pharmacological agents for renal safeguarding.

Cite This Study

Gong et al. (2025) studied this question.

synapsesocial.com/papers/68c238d2b210217d64778cbfhttps://doi.org/10.1111/jcmm.70801
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Discovery Pipeline for AKI: Molecules, Mechanisms, Models, and Targets2025
  2. 2Diagnostic Biomarkers and Targeted Drug Prediction for Acute Kidney Injury: A Computational Approach2025 · 2 citations
  3. 3Identification of hub genes and enriched pathways in renal ischemia–reperfusion injury via integrative transcriptomic and network analysis2025
  4. 4Emerging Therapeutic Strategies for Renal Ischemia‐Reperfusion Injury in Kidney Transplantation: Progress and Challenges—A Systematic Review2025
  5. 5Bilateral and Unilateral Renal Ischemia‐Reperfusion Injury Model in Rats2025