ArticleNature cardiovascular research2026
Mechanical unloading promotes adult cardiomyocyte proliferation through epicardial NRG1-ERBB4 signaling.
Article in Nature cardiovascular research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
19 authors.
Funding
Abstract
In mammals, the postnatal increase in cardiac workload coincides with the loss of cardiomyocyte proliferative capacity, rendering adult cardiomyocytes permanently post-mitotic. Whether reducing load can restore regenerative potential in the adult heart remains unknown. Here we use a heterotopic heart transplantation model, in which the donor heart is vascularized but nonpumping, to show that mechanical unloading induces adult cardiomyocyte proliferation, revealed by Ki67-based and MADM (mosaic analysis with double markers) lineage tracing. Applying heterotopic transplantation to infarcted hearts to achieve mechanical unloading similarly promoted regeneration within peri-infarct regions. Single-nucleus RNA sequencing of unloaded hearts identified enhanced epicardial-cardiomyocyte communication via the NRG1-ERBB4-STAT3 axis. Epicardial Nrg1 deletion blocked STAT3 activation and cardiomyocyte proliferation. CUT&Tag revealed STAT3 directly upregulates H6pd in cardiomyocytes, boosting pentose phosphate pathway activity to supply nucleotides and reducing equivalents for proliferation. These findings delineate a mechanotransductive pathway linking epicardial signals to cardiomyocyte cell-cycle re-entry, providing a framework for leveraging unloading to promote cardiac regeneration.
Indexed as
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Registered trials
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.