Evidence mapPaperPMID 40347709Full record

ReviewCurrent opinion in cell biology2025

Signals from the extracellular matrix: Region- and sex-specificity in cardiac aging.

Md Faris H Ramli, Brian A Aguado, Jennifer L Young

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 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. Cardio-Vascular Extracellular Matrix: The Unmet Enigma.International journal of molecular sciences · 2026
    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

3 authors.

Md Faris H RamliMechanobiology Institute (MBI), National University of Singapore, 117411, Singapore.
Brian A AguadoShu Chien-Gene Lay Department of Bioengineering, University of California, La Jolla, San Diego, CA, 92093, USA; Sanford Consortium for Regenerative Medicine, La Jolla, CA, 92037, USA; Program in Materials Science and Engineering, University of California, La Jolla, San Diego, CA, 92093, USA.
Jennifer L YoungMechanobiology Institute (MBI), National University of Singapore, 117411, Singapore; Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, 117583, Singapore. Electronic address: biejly@nus.edu.sg.

Funding

Probing sex differences in myocardial fibrosis at multiple length scales using biomaterialsDP2HL173948 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Brian Alberto Aguado · 2023 to 2023
$1.4M
NHLBI NIH HHS DP2 HL173948
6 · The paper itself

Abstract

During aging, the cardiac extracellular matrix (ECM) undergoes gradual remodeling that reduces the heart's ability to function. Specific ECM changes cause alterations in cellular signaling pathways, eliciting maladaptive responses. Here, we provide insight into the current knowledge of how age-specific ECM changes contribute to altered ligand-receptor interactions, dysregulated mechanotransduction, and the propagation of pro-fibrotic signaling cascades that underpin dysfunction. We also highlight regional and sex differences that new biomolecular and bioengineered technologies have recently uncovered. We call for new biomaterial strategies that mimic spatiotemporal and sex-specific ECM alterations to equip researchers with the tools to unravel complex cellular signaling events. We believe this can be achieved through interdisciplinary cooperation amongst researchers spanning matrix biology, biomaterials, spatial omics, and biomedical engineering.

Indexed as

AgingExtracellular MatrixHeartMyocardiumSex CharacteristicsSignal TransductionAnimalsFemaleHumansMaleMechanotransduction, Cellular

Identifiers

PMID40347709
PMCPMC13249581

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.