Back

Coaxially Electrospun Myocardial dECM-based Nanofibrous Scaffolds Demonstrate Enhanced Cardiomyocyte Adhesion and Function

Rajapakse, D. N.; Ali, K. M.; Khodadadi, M.; Proctor, B. T.; Upadhyay, T.; Zha, D.; Cook, S. H.; Gluck, J. M.

2025-09-07 bioengineering
10.1101/2025.09.02.673432 bioRxiv
Show abstract

Abstract textLimited regenerative capability of mature cardiomyocytes (CMs) makes myocardial repair more challenging, requiring effective and viable alternatives to conventional heart transplants. Cardiac tissue engineering is a substitutionary approach combining cells, scaffolds, and growth factors to develop functional heart tissues in vitro. Induced pluripotent stem cells (iPSCs) represent a significant advancement in cardiac regenerative medicine, offering a continuous supply of CMs, however, the limited understanding of their microenvironment hinders translational research. Decellularized extracellular matrix (dECM) derived from myocardium is a highly promising natural scaffold for CTE, given its tissue-specific composition, mechanical properties, and biochemical cues that promote cellular regeneration. This study investigates myocardial dECM-based fibrous scaffolds for iPSC-derived CM use. Coaxially electrospun nanofibers comprising a polyurethane core and a blend of polycaprolactone and myocardial dECM as the sheath were optimized. Morphological analysis confirms the resemblance of the nanofibers to fibrillar collagen in the native dECM. ATR-FTIR and immunostaining results confirm the presence of dECM which enhanced their hydrophilicity and enzymatic degradation. Biocompatibility results show higher phenotypic retention of iPSC-CMs due to microenvironments enriched with native proteins. On the contrary, the scaffolds without myocardial proteins exhibit higher dedifferentiation of iPSC-CMs, proving that ECM proteins provide a suitable microenvironment for iPSC-CMs. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=128 SRC="FIGDIR/small/673432v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@31a497org.highwire.dtl.DTLVardef@12cee05org.highwire.dtl.DTLVardef@beca77org.highwire.dtl.DTLVardef@1de5337_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.