Back

Dissecting human fetal cardiac repair using cardioids

Ceci Ginistrelli, L.; Ilmer, T.; Plank, L.; Novatchkova, M.; Krishna, A.; Lazar, E.; Mauron, R.; Geyer, S. H.; Pimpale, L.; Orlova, V. V.; McDole, K.; Weninger, W. J.; Mendjan, S.

2026-07-09 developmental biology
10.64898/2026.06.30.735236 bioRxiv
Show abstract

Human cardiac injury responses are governed by dynamic interacting processes that are difficult to resolve. Unlike adults, fetal mammalian hearts regenerate through coordinated remodeling and proliferation supported by a pro-regenerative immune environment, extracellular matrix (ECM), and immature cardiomyocytes, including trabecular subtypes. Here, we establish a modular human cardioid injury platform to dissect these interactions. We show that anti-inflammatory macrophages selectively migrate to the injury, clear debris, and promote ECM remodeling, whereas inflammatory macrophages suppress cardiomyocyte proliferation. Synergistic FGF2-NRG1 signaling induces trabecular identity and morphology in a hyaluronan-dependent manner, conferring enhanced injury repair, characterized by cytoskeletal remodeling and cardiomyocyte proliferation mediated by YAP and WNT signaling. Exogenous YAP, but not WNT, is sufficient to promote repair in non-trabecular cardioids. These findings uncover coordinated immune-ECM-cardiomyocyte interactions governing human fetal regenerative competence and mechanistically resolve remodeling and proliferative components of cardiac repair. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=162 SRC="FIGDIR/small/735236v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@7ff079org.highwire.dtl.DTLVardef@184d5bdorg.highwire.dtl.DTLVardef@1ec775borg.highwire.dtl.DTLVardef@190008e_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Developmental Cell
196 papers in training set
Top 0.1%
14.7%
2
Cell Stem Cell
62 papers in training set
Top 0.1%
14.7%
3
npj Regenerative Medicine
24 papers in training set
Top 0.1%
9.4%
4
Nature
645 papers in training set
Top 2%
7.1%
5
Nature Communications
5641 papers in training set
Top 28%
5.4%
50% of probability mass above
6
Cell
431 papers in training set
Top 2%
5.3%
7
Nature Cardiovascular Research
33 papers in training set
Top 0.2%
4.7%
8
Development
497 papers in training set
Top 2%
4.2%
9
Cell Reports
1498 papers in training set
Top 11%
3.3%
10
eLife
5828 papers in training set
Top 36%
3.1%
11
Circulation
74 papers in training set
Top 1.0%
3.1%
12
Nature Genetics
286 papers in training set
Top 3%
2.1%
13
Nature Cell Biology
118 papers in training set
Top 2%
1.9%
14
Circulation Research
47 papers in training set
Top 0.8%
1.7%
15
Science
477 papers in training set
Top 6%
1.5%
16
Cardiovascular Research
37 papers in training set
Top 0.8%
1.4%
17
Stem Cell Reports
130 papers in training set
Top 2%
1.1%
18
Science Advances
1243 papers in training set
Top 26%
1.1%
19
EMBO Reports
263 papers in training set
Top 6%
1.0%
20
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 39%
1.0%
21
Nature Neuroscience
252 papers in training set
Top 5%
1.0%
22
iScience
1154 papers in training set
Top 37%
0.8%
23
European Heart Journal
22 papers in training set
Top 1%
0.8%
24
The EMBO Journal
309 papers in training set
Top 8%
0.6%
25
PLOS Biology
486 papers in training set
Top 15%
0.6%
26
JCI Insight
277 papers in training set
Top 9%
0.6%