Decoding Fibroblast Diversity Associated with the Postnatal Loss of Cardiac Regenerative Capacity.

Parisa Aghagolzadeh, Vincent Rapp, Mohamed Nemir, Felix Mahfoud, Marijke Brink, Thierry Pedrazzini

Abstract read

In one paragraph

Article in International journal of molecular sciences, 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

6 authors.

Parisa AghagolzadehExperimental Cardiology Unit, Division of Cardiology, Department of Cardiovascular Medicine, University of Lausanne Medical School, 1011 Lausanne, Switzerland.

Vincent RappExperimental Cardiology Unit, Division of Cardiology, Department of Cardiovascular Medicine, University of Lausanne Medical School, 1011 Lausanne, Switzerland.ORCID 0000-0002-4755-9106

Mohamed NemirExperimental Cardiology Unit, Division of Cardiology, Department of Cardiovascular Medicine, University of Lausanne Medical School, 1011 Lausanne, Switzerland.

Felix MahfoudTranslational Cardiology, Department of Biomedicine, University of Basel and University Hospital Basel, 4031 Basel, Switzerland.

Marijke BrinkCardiobiology, Department of Biomedicine, University of Basel and University Hospital Basel, 4031 Basel, Switzerland.ORCID 0000-0002-1790-0190

Thierry PedrazziniExperimental Cardiology Unit, Division of Cardiology, Department of Cardiovascular Medicine, University of Lausanne Medical School, 1011 Lausanne, Switzerland.ORCID 0000-0002-7969-8725

Funding

Department of Biomedicine, University Hospital Basel IA 14632Swiss National Science Foundation 310030_204537Swiss National Science Foundation No. 31003A_182322

6 · The paper itself

Abstract

The mammalian heart rapidly loses regenerative capacity after birth and responds to myocardial infarction (MI) with scar formation and development of interstitial fibrosis. Cardiac fibroblasts orchestrate extracellular matrix (ECM) remodeling and cell-cell communication during development and injury; however, how fibroblast heterogeneity and fibroblast communication networks differ between regenerative neonatal and non-regenerative adult hearts remains incompletely defined. We performed scRNA-seq analysis on metabolically active CD45

Indexed as

FibroblastsHeartMyocardiumRegenerationAnimalsAnimals, NewbornExtracellular MatrixMiceMyocardial Infarctioncardiac fibroblastsmyocardial infarction (MI)postnatal cardiac maturationsingle-cell RNA sequencing (scRNA-seq)

Identifiers

PMID41898567

DOI10.3390/ijms27062709

PMCPMC13027323

What OpenQuestion holds

Textmetadata

LicenceCC BY

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 OpenQuestion graph.