Leptin Aggravates Thoracic Aortic Dissection Through Impairment of Energy Metabolism in Nrip2 <sup>+</sup> Smooth Muscle Cells

Obesity is a significant risk factor for thoracic aortic dissection (TAD), as supported by UK Biobank data showing obese individuals have a higher risk of TAD. The study investigates leptin, a hormone elevated in obesity, and finds that hyperleptinemia is common in TAD patients, suggesting its role in disease pathogenesis. Using leptin-knockout mice, it is demonstrated that exogenous leptin exacerbates TAD by promoting phenotypic transitions in vascular smooth muscle cells (VSMCs). These adverse effects are reversible with pharmacologic leptin blockade, indicating potential therapeutic benefits. Single-cell RNA sequencing reveals a novel smooth muscle cells (SMC) cluster, Nrip2<sup>+</sup>, in the aorta, with a distinct contractile gene profile. Increased Nrip2<sup>+</sup> VSMCs are linked to enhanced mitochondrial energy metabolism. Elevated Nrip2<sup>+</sup> VSMCs inhibit the leptin-induced transition from a contractile to a synthetic phenotype, reducing TAD incidence. The findings suggest that high blood leptin levels contribute to the increased TAD risk in obese individuals by suppressing Nrip2<sup>+</sup> SMCs, leading to abnormal mitochondrial metabolism and VSMC phenotypic transitions. Thus, targeting leptin to boost Nrip2<sup>+</sup> VSMC metabolic activity is a promising strategy for TAD prevention and treatment.

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Publication Details

Journal
Advanced Science
Published
2025-07-16
DOI
https://doi.org/10.1002/advs.202502027
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81

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article

Leptin Aggravates Thoracic Aortic Dissection Through Impairment of Energy Metabolism in Nrip2 + Smooth Muscle Cells

Zhiyong Lin, Jianing Gao, Zhihuang Qiu, Keyuan Chen et al.
1 citations
Advanced Science
Single-cell and spatial transcriptomics
0.81
article

Leptin Aggravates Thoracic Aortic Dissection Through Impairment of Energy Metabolism in Nrip2 + Smooth Muscle Cells

Zhiyong Lin, Jianing Gao, Zhihuang Qiu, Keyuan Chen, Fang Lü, Wuqing Huang, Junfeng Wu, Jie Chen, Qi Zhang, Ling Chen, Yang Xi, Yuling Zhang, Meifang Wu, Lemin Zheng, Liangwan Chen, Qiuyu Huang, Yujie Zhu, Yue Shen, Huanhuan Cao
article en
1 citations

Abstract

Obesity is a significant risk factor for thoracic aortic dissection (TAD), as supported by UK Biobank data showing obese individuals have a higher risk of TAD. The study investigates leptin, a hormone elevated in obesity, and finds that hyperleptinemia is common in TAD patients, suggesting its role in disease pathogenesis. Using leptin-knockout mice, it is demonstrated that exogenous leptin exacerbates TAD by promoting phenotypic transitions in vascular smooth muscle cells (VSMCs). These adverse effects are reversible with pharmacologic leptin blockade, indicating potential therapeutic benefits. Single-cell RNA sequencing reveals a novel smooth muscle cells (SMC) cluster, Nrip2<sup>+</sup>, in the aorta, with a distinct contractile gene profile. Increased Nrip2<sup>+</sup> VSMCs are linked to enhanced mitochondrial energy metabolism. Elevated Nrip2<sup>+</sup> VSMCs inhibit the leptin-induced transition from a contractile to a synthetic phenotype, reducing TAD incidence. The findings suggest that high blood leptin levels contribute to the increased TAD risk in obese individuals by suppressing Nrip2<sup>+</sup> SMCs, leading to abnormal mitochondrial metabolism and VSMC phenotypic transitions. Thus, targeting leptin to boost Nrip2<sup>+</sup> VSMC metabolic activity is a promising strategy for TAD prevention and treatment.

Advanced ScienceVol. 12(38)
Fujian Medical University (CN), Emory University (US), Peking University (CN), Woodruff Health Sciences Center (US), Education Department of Fujian Province (CN), Chinese Institute for Brain Research (CN), Fujian Provincial Hospital (CN), Union Hospital (CN), Putian University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 26%
Single-cell and spatial transcriptomics
0.81
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