Evidence map›Paper›PMID 41497580›Full record

ArticlebioRxiv : the preprint server for biology2025

AI-based Predictive Signaling Pathway Profiling in Cardiac Fibrosis Suggests a Novel Combinatorial Treatment Strategy.

Bo Yang, Jie Chen, Qiongjie Mi, Jiuzhou Huo, Ningxin Gao, Xinhua Lin, Jeffery D Molkentin, Qinghang Meng

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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.

Bo YangCenter for Organoid and Regeneration Medicine, Greater Bay Area Institute of Precision Medicine (Guangzhou); School of Life Sciences, Fudan University, China.
Jie ChenCenter for Organoid and Regeneration Medicine, Greater Bay Area Institute of Precision Medicine (Guangzhou); School of Life Sciences, Fudan University, China.
Qiongjie MiCenter for Organoid and Regeneration Medicine, Greater Bay Area Institute of Precision Medicine (Guangzhou); School of Life Sciences, Fudan University, China.
Jiuzhou HuoDivision of Molecular Cardiovascular Biology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.ORCID 0000-0003-3242-568X
Ningxin GaoCenter for Organoid and Regeneration Medicine, Greater Bay Area Institute of Precision Medicine (Guangzhou); School of Life Sciences, Fudan University, China.
Xinhua LinCenter for Organoid and Regeneration Medicine, Greater Bay Area Institute of Precision Medicine (Guangzhou); School of Life Sciences, Fudan University, China.ORCID 0000-0002-1063-749X
Jeffery D MolkentinDivision of Molecular Cardiovascular Biology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.ORCID 0000-0002-3558-6529
Qinghang MengCenter for Organoid and Regeneration Medicine, Greater Bay Area Institute of Precision Medicine (Guangzhou); School of Life Sciences, Fudan University, China.ORCID 0000-0002-2253-1641

Funding

Cardiac Fibroblasts in Postnatal Development and Adult Injury ResponseR01HL142217 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI Jeffery D Molkentin, Katherine E Yutzey · 2018 to 2026
$5.9M
Dissecting the role of the cardiac fibroblast in hypertrophy.R01HL160765 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI MOLKENTIN, JEFFERY D · 2022 to 2025
$2.4M
Innate immune response signaling in cardiac injury healingR01HL156852 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI MOLKENTIN, JEFFERY D · 2022 to 2025
$2.4M
NHLBI NIH HHS R01 HL142217NHLBI NIH HHS R01 HL156852NHLBI NIH HHS R01 HL160765
6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) remains the leading cause of global mortality, with myocardial fibrosis characterized by excessive extracellular matrix (ECM) deposition representing a common endpoint associated with progressive cardiac dysfunction. While studies in animal models of heart disease suggest that preventing or reducing fibrosis can antagonize negative ventricular remodeling, current therapeutic strategies remain clinically limited and ineffective, in part due to an incomplete understanding of the multifactorial nature of the fibrotic process. Methods and Results: We employed artificial intelligence (AI) trained from 6,528 cardiac fibrosis publications over the past decade, which suggested 10 nodal signaling pathways underlying the fibrotic process. Single-cell RNA sequencing was used to quantify pathway activities across mouse models and clinical samples encompassing acute and chronic cardiac injury. Dynamic enrichment analysis revealed 2 critical pathways involved in acute myocardial infarction (MI) injury driven temporally-regulated fibrosis whereby Janus kinase - Signal transducer and activator of transcription (JAK-STAT) signaling peaked early (day 7) while transforming growth factor-β (TGF-β) pathway activity peaked mid-phase (day 14). With more chronically-driven fibrosis, JAK-STAT signaling again emerged, which this time was persistently active during chronic transverse aortic constriction (TAC) injury. Experimentally, single-cell analysis identified a pathogenic myofibroblast subpopulation characterized by high JAK-STAT signaling and ECM secretion capacity. Fibroblast-specific Conclusion: Here we employed the wealth of past signaling pathway data underlying cardiac fibrosis to train an AI model, which suggested an optimized approach of inhibiting 2 nodal signaling pathways but with differential timing as a more effective therapeutic strategy that reduces pathologic cardiac fibrosis without negatively impacting compensatory fibrotic activity with acute MI injury. The therapeutic approach involves altering the timing of JAK-STAT signaling blockade with ruxolitinib (RUX) in combination with delayed and temporary TGF-β signaling inhibition post MI injury with pirfenidone (PFD).

Identifiers

PMID41497580
PMCPMC12767632

What Socratic 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 Socratic graph.