Identification of novel serum metabolic signatures to predict chronic kidney disease among Chinese elders using UPLC-Orbitrap-MS-Reference-Cited by-同舟云学术

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Identification of novel serum metabolic signatures to predict chronic kidney disease among Chinese elders using UPLC-Orbitrap-MS

Published:2024-03 Issue:3 Volume:28 Page:100036
ISSN:1279-7707
Container-title:The Journal of nutrition, health and aging
language:en
Short-container-title:The Journal of nutrition, health and aging

Author:

Liu Yan,Sun Mingyao,Sun Jianqin,Lin Fan,Xu Danfeng,Chen Yanqiu,Song Wei,Li Qifei,Jiang Yuanrong,Gu Jie,Li Shengqi^ORCID,Gu Lili,Zhu Xinyao,Fang Jiaxin,Chen Min,Chen Wei^ORCID

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference23 articles.

1. 2018 USRDS annual data report: epidemiology of kidney disease in the United States;United States Renal Data System,2018

2. Prevalence of chronic kidney disease in China: a cross-sectional survey;Zhang;Lancet,2012

4. 2019 USRDS annual data report: epidemiology of kidney disease in the United States;United States Renal Data System,2019

5. Chronic kidney disease;Drawz;Ann Intern Med,2015

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1. Metabolomic and Physiological Effects of a Cardiorenal Protective Diet Intervention in African American Adults with Chronic Kidney Disease;Metabolites;2024-05-25

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