Evidence map›Paper›PMID 41300756›Full record

ReviewGenes2025

Genomics and Multi-Omics Perspectives on the Pathogenesis of Cardiorenal Syndrome.

Song Peng Ang, Jia Ee Chia, Eunseuk Lee, Madison Laezzo, Riddhi Machchhar, Sakhi Patel, George Davidson, Vikash Jaiswal, Jose Iglesias

Abstract readReview
In one paragraph

Review in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Song Peng AngDivision of Cardiology, Sarver Heart Center, University of Arizona, Tucson, AZ 85724, USA.ORCID 0000-0001-8557-9880
Jia Ee ChiaDepartment of Medicine, Texas Tech University Health Science Center, El Paso, TX 79905, USA.
Eunseuk LeeDepartment of Medicine, Rutgers Health Community Medical Center, Toms River, NJ 08755, USA.ORCID 0009-0004-3761-576X
Madison LaezzoDepartment of Medicine, Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA.
Riddhi MachchharDepartment of Medicine, Ocean University Medical Center, Brick, NJ 08724, USA.ORCID 0000-0002-8744-707X
Sakhi PatelDepartment of Medicine, Ocean University Medical Center, Brick, NJ 08724, USA.
George DavidsonDepartment of Medicine, Rutgers Health Community Medical Center, Toms River, NJ 08755, USA.
Vikash JaiswalDepartment of Cardiovascular Medicine, NorthShore University Health System, Evanston, IL 60201, USA.ORCID 0000-0002-2021-1660
Jose IglesiasDepartment of Medicine, Rutgers Health Community Medical Center, Toms River, NJ 08755, USA.ORCID 0000-0001-7851-0498

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiorenal syndrome (CRS) reflects bidirectional heart-kidney injury whose mechanisms extend far beyond hemodynamics. High-throughput genomics and multi-omics now illuminate the molecular circuits that couple cardiac and renal dysfunction.

methodsWe narratively synthesize animal and human studies leveraging transcriptomics, proteomics, peptidomics, metabolomics, and non-coding RNA profiling to map convergent pathways in CRS and to highlight biomarker and therapeutic implications.

resultsAcross acute and chronic CRS models, omics consistently converge on extracellular matrix (ECM) remodeling and fibrosis (e.g., FN1, POSTN, collagens), immune-inflammatory activation (IL-6 axis, macrophage/complement signatures), renin-angiotensin-aldosterone system hyperactivity, oxidative stress, and metabolic/mitochondrial derangements in both organs. Single-nucleus and bulk transcriptomes reveal tubular dedifferentiation after cardiac arrest-induced AKI and myocardial reprogramming with early CKD, while quantitative renal proteomics in heart failure demonstrates marked upregulation of ACE/Ang II and pro-fibrotic matricellular proteins despite near-normal filtration. Human translational data corroborate these signals: urinary peptidomics detects CRS-specific collagen fragments and protease activity, and circulating FN1/POSTN and selected microRNAs (notably miR-21) show diagnostic potential. Epigenetic and microRNA networks appear to integrate these axes, nominating targets such as anti-miR-21 and anti-fibrotic strategies; pathway-directed repurposing exemplifies dual-organ benefit.

conclusionsGenomics and multi-omics recast CRS as a systems disease driven by intertwined fibrosis, inflammation, neurohormonal and metabolic programs. We propose a translational framework that advances (i) composite biomarker panels combining injury, fibrosis, and regulatory RNAs; (ii) precision, pathway-guided therapies; and (iii) integrated, longitudinal multi-omics of well-phenotyped CRS cohorts to enable prediction and personalized intervention.

Indexed as

Cardio-Renal SyndromeGenomicsAnimalsBiomarkersHumansMetabolomicsMultiomicsProteomicsTranscriptomeBiomarkerscardiorenalchronic kidney diseasegenomicsheart failuremulti-omics

Identifiers

PMID41300756
PMCPMC12652397

What Socratic 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 Socratic graph.