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Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis.
Yuan, Dezhi; Kuan, Tian; Ling, Hu; Wang, Hongkai; Feng, Liping; Zhao, Qiuye; Li, Jinfang; Ran, Jianhua.
Afiliação
  • Yuan D; Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Kuan T; Department of Anatomy, and Laboratory of Neuroscience and Tissue Engineering, Basic Medical College, Chongqing Medical University, Chongqing, China.
  • Ling H; Department of Anatomy, and Laboratory of Neuroscience and Tissue Engineering, Basic Medical College, Chongqing Medical University, Chongqing, China.
  • Wang H; Department of Anatomy, and Laboratory of Neuroscience and Tissue Engineering, Basic Medical College, Chongqing Medical University, Chongqing, China.
  • Feng L; Department of Nephrology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Zhao Q; Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Li J; Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Ran J; Department of Anatomy, and Laboratory of Neuroscience and Tissue Engineering, Basic Medical College, Chongqing Medical University, Chongqing, China.
Ren Fail ; 43(1): 1479-1491, 2021 Dec.
Article em En | MEDLINE | ID: mdl-34723750
ABSTRACT

BACKGROUND:

End-stage renal disease (ESRD) is the final stage during the development of renal failure. Depression is the most common psychiatric disorder in patients with ESRD, which in turn aggravates the progression of renal failure, however, its underlying mechanism remains unclear. This study aimed to reveal the pathogenesis and to discover novel peripheral biomarkers for ESRD patients with depression through metabolomic analysis.

METHODS:

Ultra-high-performance liquid chromatography coupled with mass spectrometry (UPLC-MS) was used to explore changes of serum metabolites among healthy controls, ESRD patients with or without depression. The differential metabolites between groups were subjected to clustering analysis, pathway analysis, receiver operating characteristic (ROC) curve analysis.

RESULTS:

A total of 57 significant serum differential metabolites were identified between ESRD patients with or without depression, which were involved in 19 metabolic pathways, such as energy metabolism, glycerolipid metabolism, and glutamate-centered metabolism. Moreover, the area under the ROC curve of gentisic acid, uric acid, 5-hydroxytryptamine, 2-phosphoglyceric acid, leucyl-phenylalanine, propenyl carnitine, naloxone, pregnenolone, 6-thioxanthene 5'-monophosphate, hydroxyl ansoprazole, zileuton O-glucuronide, cabergoline, PA(342), PG(361), probucol and their combination was greater than 0.90.

CONCLUSIONS:

Inflammation, oxidative stress and energy metabolism abnormalities, glycerolipid metabolism, and glutamate-centered metabolism are associated with the pathogenesis of ESRD with depression, which may be promising targets for therapy. Furthermore, the identified differential metabolites may serve as biomarkers for the diagnosis of ESRD patients with depression.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Depressão / Metabolômica / Falência Renal Crônica Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Depressão / Metabolômica / Falência Renal Crônica Idioma: En Ano de publicação: 2021 Tipo de documento: Article