Evidence map›Paper›PMID 41003842›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

Urinary metabolites associated with the long-term risk for chronic kidney disease incidence and progression in hypertensive patients.

Ziyu Wang, Min Fei, Yue Qi, Zhao Yang, Jiangtao Li, Shusi Ding, Wenlang Zhao, Yunqi Zhang, Na Wang, Pan Zhou and 5 more

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Article in Metabolomics : Official journal of the Metabolomic Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Ziyu Wang *Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Min Fei *The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Health Science Center, Peking University, 100191, Beijing, China.
Yue QiCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Zhao YangCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Jiangtao LiCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Shusi DingBeijing Tiantan Hospital, National Clinical Research Center for Neurological Diseases, Advanced Innovation Center for Human Brain Protection, Capital Medical University, 6 Tiantan Xili, Chongwen District, 100050, Beijing, China.
Wenlang ZhaoCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Yunqi ZhangCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Na WangCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Pan ZhouCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Xuan DengCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Pingping JiaCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Jing XueBeijing Tiantan Hospital, National Clinical Research Center for Neurological Diseases, Advanced Innovation Center for Human Brain Protection, Capital Medical University, 6 Tiantan Xili, Chongwen District, 100050, Beijing, China.
Lemin ZhengThe Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Health Science Center, Peking University, 100191, Beijing, China. zhengl@bjmu.edu.cn.
Jing LiuCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China. jingliu@ccmu.edu.cn.

Funding

Beijing municipal medical research institutes pilot reform project sponsored by Beijing Municipal Health Commission 2021-07Capital Funds for health Improvement and Research CFH 2024-2-1052National High Technology Research and Development Program of China 2020YFA0803700National Key Research and Development Program of China 2022YFC3602501National Natural Science Foundation of China 82073635Natural Science Foundation of Beijing, China L232031
6 · The paper itself

Abstract

backgroundHypertension is a leading risk factor for chronic kidney disease (CKD), yet the metabolic mechanisms linking hypertension to CKD remain unclear. This study aimed to identify metabolites associated with CKD incidence and progression in hypertensive patients using untargeted metabolomics analysis.

methodsA prospective cohort study was conducted to identify metabolites associated with the incidence and progression of CKD in hypertensive patients. Untargeted metabolomic profiling was conducted, and three statistical models-logistic regression, lasso regression, and random forest-were utilized to identify metabolites associated with CKD. Modified Poisson regression was used to assess the associations between metabolites and kidney-related outcomes.

resultsUntargeted metabolomic profiling identified distinct metabolite patterns distinguishing hypertensive patients with CKD from those without. These metabolites were identified across the three statistical models, with 94 showing significance in at least two. Four metabolites-L-theanine, cysteine-s-sulfate, mesaconic acid, and 2-aminoadipic acid-were inversely associated with CKD incidence and progression. L-theanine and cysteine-s-sulfate were both associated with decreased estimated glomerular filtration rate (eGFR) and increased urinary albumin-to-creatinine ratio (UACR). In contrast, mesaconic acid was linked to increased UACR, and 2-aminoadipic acid was associated with decreased eGFR. Patients at higher risk of CKD progression exhibited significantly lower levels of these metabolites.

conclusionL-theanine, cysteine-s-sulfate, mesaconic acid, and 2-aminoadipic acid show an inverse association with CKD incidence and progression in hypertensive patients, suggesting their potential as biomarkers for CKD risk. Further studies are warranted to validate these findings and investigate their therapeutic implications.

Indexed as

HypertensionRenal Insufficiency, ChronicAgedBiomarkersDisease ProgressionFemaleGlomerular Filtration RateHumansIncidenceMaleMetabolomicsMiddle AgedProspective StudiesRisk FactorsBiomarkers2-aminoadipic acidCKDCysteine-s-sulfateeGFRHypertensionl-theanineMesaconic acidMetabolomicsUACR

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.