Literature DB >> 31121068

Metabolomics-driven identification of adenosine deaminase as therapeutic target in a mouse model of Parkinson's disease.

Wanqiu Huang1,2, Yazhou Xu2, Yuxin Zhang3, Pei Zhang1,4,5, Qianqian Zhang1,2, Zunjian Zhang1,2, Fengguo Xu1,2.   

Abstract

Neuroinflammation is one of the driving forces of progressive neurodegeneration in Parkinson's disease (PD). The metabolomics approach has been proved highly useful in identifying potential therapeutic targets. Here, to identify inflammation-relevant treatment targets for PD, mass spectrometry-based untargeted metabolomics was applied to characterize metabolic changes in the striatum of mice with double-hit PD induced by lipopolysaccharide plus 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). Seven days after the final MPTP administration, metabolites from the purine metabolism pathway, including adenosine, 1-methyladenosine, adenine, inosine, hypoxanthine, xanthine, xanthosine, and guanosine, were found to be significantly dysregulated. The metabolite-protein interaction network and changes in the concentration ratio of these metabolites indicated that adenosine and adenosine deaminase (ADA; EC 3.5.4.4) were the most promising therapeutic targets and adenosine augmentation might be a rational approach to slow PD progression. These findings were then verified in a subacute MPTP-induced PD mouse model treated with ADA inhibition alone or in conjunction with antagonism of adenosine A2A receptors (A2A R). Behavioral, biochemical, and immunohistochemical analysis demonstrated that ADA inhibition significantly ameliorated the MPTP-mediated motor disabilities, dopamine depletion, and dopaminergic cell death. Significantly enhanced neuroprotective effects were further observed when the ADA inhibitor was utilized in conjunction with an A2A R antagonist. Together, our study indicated for the first time that ADA inhibitors protected against neurodegeneration induced by the neurotoxin MPTP, and ADA inhibitors in combination with A2A R antagonists showed additive antiparkinsonian effects.
© 2019 International Society for Neurochemistry.

Entities:  

Keywords:  Parkinson’s disease; adenosine; adenosine deaminase; mass spectrometry; metabolomics; neuroinflammation

Mesh:

Substances:

Year:  2019        PMID: 31121068     DOI: 10.1111/jnc.14774

Source DB:  PubMed          Journal:  J Neurochem        ISSN: 0022-3042            Impact factor:   5.372


  7 in total

Review 1.  Adenosine deaminase, not immune to a mechanistic rethink in central nervous system disorders?

Authors:  Benjamin Hall; Jonathan G George; Scott P Allen
Journal:  Histol Histopathol       Date:  2021-12-09       Impact factor: 2.303

Review 2.  Metabolomic and Imaging Mass Spectrometric Assays of Labile Brain Metabolites: Critical Importance of Brain Harvest Procedures.

Authors:  Gerald A Dienel
Journal:  Neurochem Res       Date:  2020-09-19       Impact factor: 3.996

3.  Bioengineered models of Parkinson's disease using patient-derived dopaminergic neurons exhibit distinct biological profiles in a 3D microenvironment.

Authors:  Nicholas J Fiore; Yosif M Ganat; Kapil Devkota; Rebecca Batorsky; Ming Lei; Kyongbum Lee; Lenore J Cowen; Gist Croft; Scott A Noggle; Thomas J F Nieland; David L Kaplan
Journal:  Cell Mol Life Sci       Date:  2022-01-19       Impact factor: 9.261

4.  Prevalence and Risk Factors for Malnutrition in Patients With Parkinson's Disease.

Authors:  Tianting Yang; Zhen Zhan; Liang Zhang; Jun Zhu; Yi Liu; Lili Zhang; Jianchao Ge; Ying Zhao; Li Zhang; Jingde Dong
Journal:  Front Neurol       Date:  2020-12-10       Impact factor: 4.003

Review 5.  The Potential of Metabolomics in Biomedical Applications.

Authors:  Vanessa Gonzalez-Covarrubias; Eduardo Martínez-Martínez; Laura Del Bosque-Plata
Journal:  Metabolites       Date:  2022-02-19

Review 6.  Pathophysiological Role of Transient Receptor Potential Mucolipin Channel 1 in Calcium-Mediated Stress-Induced Neurodegenerative Diseases.

Authors:  Giorgio Santoni; Federica Maggi; Consuelo Amantini; Oliviero Marinelli; Massimo Nabissi; Maria Beatrice Morelli
Journal:  Front Physiol       Date:  2020-03-24       Impact factor: 4.566

7.  Insight Into the Metabolomic Characteristics of Post-Transplant Diabetes Mellitus by the Integrated LC-MS and GC-MS Approach- Preliminary Study.

Authors:  Min Wang; Jie Xu; Na Yang; Tianqi Zhang; Huaijun Zhu; Jing Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-01-18       Impact factor: 5.555

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.