ORIGINAL RESEARCH article
Front. Physiol.
Sec. Medical Physics and Imaging
Volume 16 - 2025 | doi: 10.3389/fphys.2025.1569699
This article is part of the Research TopicMulti-Modality Based AI in Biomedical Physics for Disease Diagnosis and TreatmentView all 3 articles
18F-DOPA uptake illustration acts as an indicator for renal sympathetic activity
Provisionally accepted- 1Department of Cardiology, First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
- 2Department of Nuclear Medicine, First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
- 3Nanjing Medical University, Nanjing, Jiangsu Province, China
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Renal denervation (RDN) has emerged as a promising therapeutic approach for hypertension, particularly in patients with refractory hypertension. However, non-invasive measurement of the degree of renal nerve ablation has still been a challenge. This study aims to develop a novel method for assessing the efficacy of RDN. Based on 18F-DOPA micro PET-CT imaging, we demonstrate that bilateral RDN significantly reduces 18F-DOPA uptake in the kidneys of spontaneously hypertensive rats (SHRs) with normal renal function. A similar trend was observed in Wistar Kyoto rats (WKYs). Meanwhile, the effectiveness of RDN was further validated through blood pressure (BP) monitoring, western blot analysis of sympathetic nerve markers, and immunohistochemistry of nerves. In conclusion, our data suggest that 18F-DOPA PET-CT imaging is parallel with the sympathetic nerve activity of kidney which provides valuable insights for in vivo evaluating the efficacy of RDN and may serve as a critical tool for clinically assessing its therapeutic outcomes. The underlying molecular mechanisms responsible for the observed reduction in renal 18F-DOPA uptake in SHRs following RDN warrant further investigation.
Keywords: Hypertension, sympathetic nerve, renal denervation, Positron emission tomography-computed tomography, L-Dopa
Received: 01 Feb 2025; Accepted: 10 Oct 2025.
Copyright: © 2025 Wu, Shi, Huang, Tian, Hou, Kong, Sheng, Zhang, Tang and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Tao Zhang, zhangtaocjh@njmu.edu.cn
Lijun Tang, tanglijun@njmu.edu.cn
Wei Sun, weisun7919@njmu.edu.cn
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