Membrane Remodeling of Human-Engineered Cardiac Tissue by Chronic Electric Stimulation.
Alberto Sesena RubfiaroNavin J PrajapatiLia PaolinoLihua LouDaniel CotayoPopular PandeyMohammad ShaverJoshua D HutchesonArvind AgarwalJin HePublished in: ACS biomaterials science & engineering (2023)
Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) show immature features, but these are improved by integration into 3D cardiac constructs. In addition, it has been demonstrated that physical manipulations such as electrical stimulation (ES) are highly effective in improving the maturation of human-engineered cardiac tissue (hECT) derived from hiPSC-CMs. Here, we continuously applied an ES in capacitive coupling configuration, which is below the pacing threshold, to millimeter-sized hECTs for 1-2 weeks. Meanwhile, the structural and functional developments of the hECTs were monitored and measured using an array of assays. Of particular note, a nanoscale imaging technique, scanning ion conductance microscopy (SICM), has been used to directly image membrane remodeling of CMs at different locations on the tissue surface. Periodic crest/valley patterns with a distance close to the sarcomere length appeared on the membrane of CMs near the edge of the tissue after ES, suggesting the enhanced transverse tubulation network. The SICM observation is also supported by the fluorescence images of the transverse tubulation network and α-actinin. Correspondingly, essential cardiac functions such as calcium handling and contraction force generation were improved. Our study provides evidence that chronic subthreshold ES can still improve the structural and functional developments of hECTs.
Keyphrases
- endothelial cells
- high resolution
- left ventricular
- induced pluripotent stem cells
- high glucose
- single molecule
- pluripotent stem cells
- deep learning
- spinal cord injury
- optical coherence tomography
- mental health
- heart failure
- high speed
- atomic force microscopy
- convolutional neural network
- mass spectrometry
- diabetic rats
- network analysis