Irisin as a multi-target renoprotective mediator in chronic kidney disease: from molecular mechanisms to therapeutic

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Shubhdeep Singh Bandral1, Sapna Ahuja1, Thakur Gurjeet Singh1

  • 1Chitkara College of Pharmacy, Chitkara University, Rajpura 140401, Punjab, India.

Abstract

Insights

Irisin, a myokine, shows potential in treating chronic kidney disease (CKD) by targeting multiple pathways. Further research is needed to overcome challenges for its clinical use as a biomarker or therapy.

Area of Science:

  • Nephrology
  • Endocrinology
  • Molecular Biology

Background:

  • Chronic kidney disease (CKD) affects 9-13% of the global population, driven by inflammation, oxidative stress, endothelial dysfunction, and fibrosis.
  • Despite current therapies like SGLT2 inhibitors, significant residual risk remains, highlighting the need for novel multi-target strategies.

Purpose of the Study:

  • To review the molecular pathways in CKD progression.
  • To evaluate irisin, a myokine from FNDC5, as a potential multi-target renoprotective mediator for CKD.

Main Methods:

  • A narrative literature review was conducted using PubMed, Scopus, and Google Scholar.
  • Search terms included "irisin," "FNDC5," "chronic kidney disease," and related mechanistic pathways.
  • Literature was selected based on relevance to CKD pathophysiology and irisin biology.

Main Results:

  • Irisin demonstrates pleiotropic protective effects in CKD by suppressing inflammation (NF-κB, NLRP3 inflammasome) and oxidative stress (Nrf2/HO-1 pathway).
  • It improves endothelial function (AMPK/eNOS) and attenuates fibrosis (TGF-β/Smad), while promoting autophagy and modulating the gut-kidney axis.
  • Observational studies show an inverse association between irisin levels and CKD severity, but causality is not established.

Conclusions:

  • Preclinical and observational data suggest irisin's potential as a CKD biomarker and therapeutic candidate.
  • Translational application is speculative due to challenges including receptor characterization, peptide stability, and dosing uncertainty.

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