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Updated: Jun 14, 2025

Intracoronary Acetylcholine Provocation Testing for Assessment of Coronary Vasomotor Disorders
Published on: August 18, 2016
Characterisation and distribution of human coronary artery innervation
Mert Tokcan1, Jan Federspiel2, Lucas Lauder1,3,4
1Klinik für Innere Medizin III - Kardiologie, Angiologie und Internistische Intensivmedizin, Saarland University Medical Center and Saarland University, Homburg, Germany.
Background:
A detailed understanding of the sympathetic innervation of coronary arteries is relevant to facilitate the development of novel treatment approaches.
Aims:
This study aimed to quantitatively examine periarterial innervation in human epicardial coronary arteries.
Methods:
Coronary arteries with adjacent epicardial adipose tissue were excised along the left main coronary artery (LMCA), left anterior descending artery (LAD), left circumflex artery (LCx), and right coronary artery (RCA) from 28 body donors and examined histologically. Immunofluorescence staining was performed to characterise sympathetic nerve fibres.
Results:
A total of 42,573 nerve fibres surrounding 100 coronary arteries (LMCA: n=21, LAD: n=27, LCx: n=26, RCA: n=26) were analysed. The nerve fibre diameter decreased along the vessel course (median [interquartile range]): (proximal 46 μm [31-73], middle 38 μm [26-58], distal 31 μm [22-46]; p<0.001), with the largest nerve fibre diameter along the LMCA (50 μm [31-81]), followed by the LAD (42 μm [27-72]; p<0.001). The total nerve fibre density was highest along the RCA (123 nerves/cm² [82-194]). Circumferentially, nerve density was higher in the myocardial tissue area of the coronary arteries (132 nerves/cm² [76-225]) than in the epicardial tissue area (101 nerves/cm² [61-173]; p<0.001). The median lumen-nerve distance was smallest around the LMCA (2.2 mm [1.2-4.1]), followed by the LAD (2.5 mm [1.1-4.5]; p=0.005).
Conclusions:
Human coronary arteries are highly innervated with sympathetic nerve fibres, with significant variation in the distribution and density. Understanding these patterns informs pathophysiological understanding and, potentially, the development of catheter-based approaches for cardiac autonomic modulation.
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