Evidence map›Paper›PMID 42491139›Full record

ReviewAmerican journal of translational research2026

The dual role of ion channels in diabetic kidney disease: a translational paradigm for biomarkers and target discovery - reviews and prospects.

Xiaojing Xiong, Bao Yan, Bi Ke, Chen Wang, Xiuyuan Feng, Hua Yan, Wenfeng Wang, Guang Xu

Abstract readReview
In one paragraph

Review in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xiaojing XiongDepartment of Cardiology, Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology Wuhan, Hubei, China.
Bao YanDepartment of Cardiology, Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology Wuhan, Hubei, China.
Bi KeDepartment of Cardiology, Ezhou Central Hospital Ezhou, Hubei, China.
Chen WangDepartment of Cardiology, Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology Wuhan, Hubei, China.
Xiuyuan FengDepartment of Cardiology, Ezhou Central Hospital Ezhou, Hubei, China.
Hua YanDepartment of Cardiology, Ezhou Central Hospital Ezhou, Hubei, China.
Wenfeng WangDepartment of Cardiology, Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology Wuhan, Hubei, China.
Guang XuDepartment of Cardiology, Ezhou Central Hospital Ezhou, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical heterogeneity of diabetic kidney disease (DKD) poses a major challenge to current treatment strategies. This review proposes a novel translational paradigm: viewing ion channels as dual-function entities that serve both as pathogenic mediators and as rich sources of clinically actionable biomarkers. We systematically elucidate how hyperglycemia, oxidative stress, and inflammation disrupt sodium, calcium, potassium, and chloride channel networks through interconnected pathways such as AMP-activated protein kinase (AMPK)/mammalian target of rapamycin (mTOR), NLR family pyrin domain containing 3 (NLRP3), and PIEZO1. These disruptions not only drive renal injury but also generate a cascade of detectable molecular signals - from genomic variations and epigenetic changes to circulating protein fragments and exosomal non-coding RNAs. We review these multi-level biomarker sources and their detection platforms, including cutting-edge, minimally invasive technologies such as urinary cell-free DNA (cfDNA) methylation profiling and artificial intelligence (AI)-driven multi-omics integration. Crucially, we detail how these "channelopathy fingerprints" can be translated into clinical tools for molecular endotyping, predicting and monitoring treatment responses to established (sodium-glucose cotransporter 2 (SGLT2) inhibitors, finerenone) and emerging (transient receptor potential canonical 6 (TRPC6) inhibitors) therapies, and optimizing clinical trial designs through biomarker-driven enrichment strategies. Finally, we propose a phased, multi-stakeholder roadmap from biomarker discovery to clinical integration, aiming to shift DKD management from a "one-size-fits-all" approach to individualized precision therapy.

Indexed as

artificial intelligenceDiabetic kidney diseaseion channels biomarkersprecision medicineSGLT2single-cell omicsTRP channels

Identifiers

PMID42491139
PMCPMC13376016

What OpenQuestion holds

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Registered trials

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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.