Identification of serum metabolic markers in non-obese hypertensive patients using non-targeted metabolomics
The future of hypertension management lies in distinguishing disease subtypes for precise control. The underlying drivers and pathology of non-obese hypertension (J-HTN) remain unclear. There is a lack of biomarkers for the early identification of J-HTN. The aim of this study was to identify circulating metabolomic profiles that facilitate the early detection of J-HTN patients, thereby providing valuable insights for more targeted and precision-based therapies. A non-targeted metabolomics approach was used to quantify serum metabolites in 120 patients with newly diagnosed hypertension, and to determine the metabolomic characteristics of J-HTN and two types of obese hypertension (fat-dominant and muscle-dominant). 4 metabolites unique to J-HTN were identified, with lysophosphatidylcholine 22:6 (LysoPC(22:6/0:0)) standing out as the marker showing the most pronounced difference. Using the serum metabolome alone, we were able to distinguish J-HTN from other hypertensive patients. In a secondary validation with an independent cohort of 60 medically treated J-HTN patients, 3 metabolites, including LysoPC(22:6/0:0), remained significantly altered. The serum metabolic profiles identified in this study enable the early detection of J-HTN, with LysoPC(22:6/0:0) emerging as a highly promising biomarker. This metabolite may also correlate with the clinical efficacy of J-HTN treatments.
Authors
- Jia Liang Lu
- Hongjun Zhu (ORCID: https://orcid.org/0000-0003-0106-4754)
- Xu Chen
- Yilin Jiang (ORCID: https://orcid.org/0000-0002-0381-2974)
- Yifan Xu (ORCID: https://orcid.org/0009-0003-4239-2145)
- Qing Li (ORCID: https://orcid.org/0000-0002-6071-473X)
Institutions
- Wuxi Taihu Hospital (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1038/s41598-025-02162-0
- Citations
- 2
- Primary Topic
- Diet and metabolism studies
- Type
- article
- Field-Weighted Citation Impact
- 2.33
Funders
- Government of Jiangsu Province