Literature DB >> 35276331

Kidney and plasma metabolomics provide insights into the molecular mechanisms of urate nephropathy in a mouse model of hyperuricemia.

Hailong Li1, Hui Zhang1, Fei Yan2, Yuwei He2, Aichang Ji2, Zhen Liu2, Maichao Li2, Xiaopeng Ji2, Changgui Li3.   

Abstract

Hyperuricemia (HUA) is closely associated with kidney damage and kidney diseases in humans; however, the underlying mechanisms of HUA-induced kidney diseases remain unknown. In the present study, we examined the kidney and plasma metabolic profiles in a HUA mouse model constructed by knocking out (Ko) the urate oxidase (Uox) gene. The Uox-Ko mice were characterized by an increase in uric acid, glycine, 3'-adenosine monophosphate, citrate, N-acetyl-l-glutamate, l-kynurenine, 5-hydroxyindoleacetate, xanthurenic acid, cortisol, and (-)-prostaglandin e2 together with a decrease of inosine in the kidneys. These altered metabolites confirmed disturbances of purine metabolism, amino acid biosynthesis, tryptophan metabolism, and neuroactive ligand-receptor interaction in Uox-Ko mice. Betaine and biotin were related to kidney function and identified as the potential plasma metabolic biomarker for predicting urate nephropathy (UN). Taken together, these results revealed the underlying pathogenic mechanisms of UN. Investigating these pathways might provide novel targets for the therapeutic intervention of UN and can potentially lead to new treatment strategies.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Hyperuricemia; Metabolite biomarkers; Metabolomics; Urate nephropathy; Uricase oxidase

Mesh:

Substances:

Year:  2022        PMID: 35276331     DOI: 10.1016/j.bbadis.2022.166374

Source DB:  PubMed          Journal:  Biochim Biophys Acta Mol Basis Dis        ISSN: 0925-4439            Impact factor:   5.187


  3 in total

1.  Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics.

Authors:  Nankun Qin; Ming Qin; Wenjun Shi; Lingbo Kong; Liting Wang; Guang Xu; Yuying Guo; Jiayu Zhang; Qun Ma
Journal:  Sci Rep       Date:  2022-08-17       Impact factor: 4.996

2.  Changes in aging-induced kidney dysfunction in mice based on a metabolomics analysis.

Authors:  Danli Jiao; Li Qi; Li Hu; Dan Hu; Xiao Li; Guona Li; Zheying Li; Shimin Liu; Chen Zhao; Huangan Wu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-08       Impact factor: 6.055

Review 3.  Research progress of risk factors and early diagnostic biomarkers of gout-induced renal injury.

Authors:  Sheng Wang; Liyun Zhang; Dongsheng Hao; Lei Wang; Jiaxi Liu; Qing Niu; Liangyu Mi; Xinyue Peng; Jinfang Gao
Journal:  Front Immunol       Date:  2022-09-20       Impact factor: 8.786

  3 in total

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