Evidence map›Paper›PMID 40055464›Full record

ArticleNature cardiovascular research2025

Genetic tracing and topography of spontaneous and stimulated cardiac regeneration in mice.

Ilaria Secco, Ana Backovic, Mateusz Tomczyk, Antonio Mura, Gang Li, Francesca Bortolotti, Simone Vodret, Matteo Dal Ferro, Elena Chiavacci, Lorena Zentilin and 4 more

Abstract read
In one paragraph

Article in Nature cardiovascular research, 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

14 authors.

Ilaria SeccoSchool of Cardiovascular and Metabolic Medicine & Sciences and British Heart Foundation Centre of Research Excellence, King's College London, London, UK.ORCID http://orcid.org/0000-0002-3920-7565
Ana BackovicInternational Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy.
Mateusz TomczykSchool of Cardiovascular and Metabolic Medicine & Sciences and British Heart Foundation Centre of Research Excellence, King's College London, London, UK.ORCID http://orcid.org/0000-0001-9322-748X
Antonio MuraInternational Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy.
Gang LiSchool of Cardiovascular and Metabolic Medicine & Sciences and British Heart Foundation Centre of Research Excellence, King's College London, London, UK.
Francesca BortolottiInternational Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy.
Simone VodretInternational Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy.
Matteo Dal FerroCardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina, University of Trieste, Trieste, Italy.
Elena ChiavacciSchool of Cardiovascular and Metabolic Medicine & Sciences and British Heart Foundation Centre of Research Excellence, King's College London, London, UK.ORCID http://orcid.org/0000-0003-3924-3635
Lorena ZentilinInternational Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy.
Gianfranco SinagraCardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina, University of Trieste, Trieste, Italy.
Serena ZacchignaInternational Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy.ORCID http://orcid.org/0000-0001-6705-3076
Miguel ManoSchool of Cardiovascular and Metabolic Medicine & Sciences and British Heart Foundation Centre of Research Excellence, King's College London, London, UK.ORCID http://orcid.org/0000-0003-1922-4824
Mauro GiaccaSchool of Cardiovascular and Metabolic Medicine & Sciences and British Heart Foundation Centre of Research Excellence, King's College London, London, UK. mauro.giacca@kcl.ac.uk.ORCID http://orcid.org/0000-0003-2927-7225

Funding

British Heart Foundation (BHF) RG/19/11/34633EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 787971EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101080897EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 874764
6 · The paper itself

Abstract

Despite recent efforts to stimulate endogenous cardiomyocyte proliferation for cardiac regeneration, the lack of reliable in vivo methods for monitoring cardiomyocyte replication has hindered our understanding of its mechanisms. Thymidine analogs, used to label proliferating cells, are unsuitable for long-term cardiac regeneration studies as their DNA incorporation elicits a damage response, leading to their elimination. Here we present CycleTrack, a genetic strategy based on the transcriptional activation of Cre recombinase from a temporally regulated cyclin B2 promoter segment, for permanent labeling of cardiomyocytes passing through the G2/M phase. Using CycleTrack, we visualized cardiomyocyte turnover in neonatal and adult mice under various conditions, including pregnancy, increased ventricular afterload, and myocardial infarction. CycleTrack also provided visual and quantitative evidence of ventricular remuscularization following treatment with pro-regenerative microRNAs. We identify the subendocardium as a key site of mitotic activity and provide a mode of cardiomyocyte division along their short axis. CycleTrack is a powerful tool to monitor cardiomyocyte renewal during regenerative interventions.

Indexed as

Cell ProliferationHeartMyocytes, CardiacRegenerationAnimalsAnimals, NewbornFemaleIntegrasesMaleMiceMice, Inbred C57BLMice, TransgenicMicroRNAsMyocardial InfarctionPregnancyPromoter Regions, GeneticCre recombinaseIntegrasesMicroRNAs

Identifiers

PMID40055464
PMCPMC11994457

What OpenQuestion holds

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LicenceCC BY
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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.