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High-resolution structure-function mapping of intact hearts reveals altered sympathetic control of infarct border zones
Ching Zhu, … , Charless C. Fowlkes, Kalyanam Shivkumar
Ching Zhu, … , Charless C. Fowlkes, Kalyanam Shivkumar
Published February 8, 2022
Citation Information: JCI Insight. 2022;7(3):e153913. https://doi.org/10.1172/jci.insight.153913.
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Resource and Technical Advance Cardiology

High-resolution structure-function mapping of intact hearts reveals altered sympathetic control of infarct border zones

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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.

Authors

Ching Zhu, Pradeep S. Rajendran, Peter Hanna, Igor R. Efimov, Guy Salama, Charless C. Fowlkes, Kalyanam Shivkumar

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Figure 1

Optical mapping and tissue clearing pipeline to align electrical and structural maps.

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Optical mapping and tissue clearing pipeline to align electrical and str...
(A) Schematic of optical mapping, clearing, imaging, and automated feature tracing steps in the alignment pipeline. (B and C) Bright-field image taken simultaneously with optical action potential map showing activation in sinus rhythm. (D) Maximum intensity projection (MIP) image of tyrosine hydroxylase–positive (TH-positive) nerve fibers on the ventral surface of the same heart after IHC, tissue clearing, and confocal imaging. (E and F) High-magnification images of the boxed region in D, with TH staining alongside nerve-fiber tracing by computer vision, color-coded by fiber diameter. (G and H) Venous bifurcations (magenta points) on MIP confocal shell image of a cleared heart alongside bright-field image of same heart were used as fiducial anchors for alignment. (I) Automated global nerve-fiber tracing aligned with bright-field image allows spatial correlation with optical action potential data. Scale bars: 1 mm (B–D and G–I); 100 μm (E and F).

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