Abstract
Remodeling of injured sympathetic nerves on the heart after myocardial infarction (MI) contributes to adverse outcomes such as sudden arrhythmic death, yet the underlying structural mechanisms are poorly understood. We sought to examine microstructural changes on the heart after MI and to directly link these changes with electrical dysfunction. We developed a high-resolution pipeline for anatomically precise alignment of electrical maps with structural myofiber and nerve-fiber maps created by customized computer vision algorithms. Using this integrative approach in a mouse model, we identified distinct structure-function correlates to objectively delineate the infarct border zone, a known source of arrhythmias after MI. During tyramine-induced sympathetic nerve activation, we demonstrated regional patterns of altered electrical conduction aligned directly with altered neuroeffector junction distribution, pointing to potential neural substrates for cardiac arrhythmia. This study establishes a synergistic framework for examining structure-function relationships after MI with microscopic precision that has potential to advance understanding of arrhythmogenic mechanisms.
Original language | English (US) |
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Article number | e153913 |
Journal | JCI Insight |
Volume | 7 |
Issue number | 3 |
DOIs | |
State | Published - Feb 8 2022 |
Funding
We are grateful to Crystal Ripplinger and her research group for advice on optical mapping techniques, Wesley Campbell and his research group for guidance on our supplemental light penetration experiments, and Chris O’Shea and Davor Pavlovic for their assistance with the use of ElectroMap software. Additionally, we thank Olujimi Ajijola for his thorough review of and helpful suggestions for the manuscript. CZ was supported by T32 HL007895 from National Heart, Lung, and Blood Institute, NIH, and Health and Human and Human Services. This work was supported by a NIH Stimulating Peripheral Activity to Relieve Conditions (SPARC) award (OT2OD023848 to CCF and KS).
ASJC Scopus subject areas
- General Medicine