Redifferentiated cardiomyocytes retain residual dedifferentiation signatures and are protected against ischaemic injury

Autor: Avraham Shakked, Zachary Petrover, Alla Aharonov, Matteo Ghiringhelli, Kfir-Baruch Umansky, Phong Dang Nguyen, David Kain, Jacob Elkahal, Yalin Divinsky, Shoval Miyara, Gilgi Friedlander, Alon Savidor, Lingling Zhang, Dahlia Perez, Nathaniel Kastan, Daria Lendengolts, Yishai Levin, Jeroen Bakkers, Lior Gepstein, Eldad Tzahor
Rok vydání: 2022
Popis: Cardiomyocyte renewal by dedifferentiation and proliferation has fueled the field of regenerative cardiology in recent years, while the reverse process of redifferentiation remains largely unexplored. Redifferentiation is characterised by the restoration of function that is lost during dedifferentiation and is key to the healing process following injury. Previously, we showed that ERBB2-mediated heart regeneration has these two distinct phases: dedifferentiation, followed by redifferentiation. Here, using temporal RNAseq and proteomics, we survey the landscape of the dedifferentiation-redifferentiation process in the adult mouse heart. We find well characterised dedifferentiation pathways, such as reduced oxphos, increased proliferation and increased EMT-like features, largely return to normal, though elements of residual dedifferentiation remain, even after contractile function is restored. These hearts appeared rejuvenated and showed robust resistance to ischaemic injury. We find that redifferentiation is driven by negative feedback signalling, notably through LATS1/2 Hippo pathway activity. Disabling LATS1/2 in dedifferentiated cardiomyocytes augments dedifferentiation in vitro and prevents redifferentiation in vivo. Taken together, our data reveal the non-trivial nature of redifferentiation, whereby elements of dedifferentiation linger in a surprisingly beneficial manner. This cycle of dedifferentiation-redifferentiation protects against future insult, in what could become a novel prophylactic treatment against ischemic heart disease for at-risk patients.
Databáze: OpenAIRE