Evidence map›Paper›PMID 34146658›Full record

ArticleCellular signalling2021

Cardiac fibrosis: Pathobiology and therapeutic targets.

Michael P Czubryt, Taben M Hale

Abstract read
In one paragraph

Article in Cellular signalling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Collagen Prolyl 4-Hydroxylase: An Emerging Key Player in Cardiac Fibrosis.Journal of cardiovascular translational research · 2026
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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

2 authors.

Michael P CzubrytInstitute of Cardiovascular Sciences, St Boniface Hospital Albrechtsen Research Centre and Department of Physiology and Pathophysiology, University of Manitoba, Winnipeg, Manitoba, Canada.
Taben M HaleDepartment of Basic Medical Sciences, University of Arizona College of Medicine, Phoenix, AZ, USA. Electronic address: tabenh@arizona.edu.

Funding

Identifying a Pathogenic Fibroblast Subpopulation to Target for Protection Against Cardiac FibrosisR56HL141165 · NHLBI · UNIVERSITY OF ARIZONA · PI HALE, TABEN M. · 2018 to 2018
$393k
CIHR PJT-162422NHLBI NIH HHS R56 HL141165
6 · The paper itself

Abstract

Cardiac fibrosis is characteristic of the end stage in nearly all forms of heart disease. Accumulation of extracellular matrix in the myocardium leads to increased risk of arrhythmia and impaired cardiac function, and ultimately progression to heart failure. Despite the critical need to slow or reverse development of cardiac fibrosis to maintain cardiac function, there are no approved therapies that directly target the extracellular matrix. Research into the underlying causes and therapeutic targets has been hampered, in part, by the lack of a clear marker for cardiac fibroblasts - the cells responsible for regulating extracellular matrix turnover. Lineage tracing studies as well as single-cell RNA sequencing studies have provided new insights into cardiac fibroblast origins and heterogeneity. Moreover, a greater understanding of pathways governing fibroblast activation during ischemic and non-ischemic cardiac remodeling and their communication with other inflammatory and cardiac cells may lead to novel therapeutic targets to slow or reverse fibrotic remodeling. The special issue of Cellular Signaling entitled "Cardiac Fibrosis: Pathobiology and Therapeutic Targets" is comprised of review articles in which these topics, as well as important open questions for future investigation, are discussed.

Indexed as

FibroblastsMyocardiumExtracellular MatrixFibrosisHeartHumansFibroblastFibrosisHeart diseaseInflammationMyofibroblast

Identifiers

PMID34146658
PMCPMC8355135

What OpenQuestion holds

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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 OpenQuestion graph.