Literature DB >> 31666195

Circulating amino acid signature in older people with Parkinson's disease: A metabolic complement to the EXosomes in PArkiNson Disease (EXPAND) study.

Anna Picca1, Riccardo Calvani1, Giovanni Landi2, Federico Marini3, Alessandra Biancolillo4, Jacopo Gervasoni1, Silvia Persichilli1, Aniello Primiano2, Andrea Urbani1, Maurizio Bossola5, Anna Rita Bentivoglio6, Matteo Cesari7, Francesco Landi1, Roberto Bernabei8, Emanuele Marzetti9, Maria Rita Lo Monaco2.   

Abstract

BACKGROUND AND AIM: Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder in old age. Neurotoxicity of dopaminergic neurons triggered by aggregation of misfolded α-synuclein is a major pathogenic trait of PD. However, growing evidence indicates that peripheral processes, including metabolic changes, may precede and contribute to neurodegeneration. The present study was undertaken to identify a metabolic signature of PD through the quantification of serum amino acids and derivatives. PARTICIPANTS AND METHODS: Twenty older adults with PD (11 men and 9 women; mean age 73.1 ± 10.2 years) and 30 age-matched controls (14 men and 16 women; mean age 74.6 ± 4.3 years) were enrolled. A panel of 37 serum amino acids and derivatives was assessed by ultra-performance liquid chromatography/mass spectrometry. Partial least squares - discriminant analysis (PLS-DA) followed by double cross-validation was used to characterize the relationship between amino acid profiles and PD.
RESULTS: The optimal complexity of the PLS-DA model was found to be three latent variables. The proportion of correct classifications was 99.3 ± 2.5% for participants with PD and 94.7 ± 3.0% for non-PD controls. Higher levels of β-amino butyric acid, cystine, ornithine, phosphoethanolamine, and proline defined the circulating amino acid profile of older people with PD. Controls were characterized by higher concentrations of 3-methyl-histidine, citrulline, and serine.
CONCLUSION: Our findings indicate the existence of a distinct metabotype in older persons with PD. Future studies will have to establish whether changes in amino acid metabolism are involved in the pathogenesis of PD. This knowledge may be harnessed to identify novel disease biomarkers as well as new targets for interventions.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  Biomarkers; Metabolic markers; Metabolomics; Metabotype; Multivariate analysis; Personalized medicine

Mesh:

Substances:

Year:  2019        PMID: 31666195     DOI: 10.1016/j.exger.2019.110766

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  16 in total

1.  A novel multi-marker discovery approach identifies new serum biomarkers for Parkinson's disease in older people: an EXosomes in PArkiNson Disease (EXPAND) ancillary study.

Authors:  Riccardo Calvani; Anna Picca; Giovanni Landi; Federico Marini; Alessandra Biancolillo; Hélio José Coelho-Junior; Jacopo Gervasoni; Silvia Persichilli; Aniello Primiano; Annalaura Arcidiacono; Andrea Urbani; Maurizio Bossola; Anna Rita Bentivoglio; Matteo Cesari; Roberto Bernabei; Maria Rita Lo Monaco; Emanuele Marzetti
Journal:  Geroscience       Date:  2020-05-26       Impact factor: 7.713

Review 2.  Efficacy and safety of pramipexole in Parkinson's disease with anxiety or depression: a meta-analysis of randomized clinical trials.

Authors:  Niu Ji; Pin Meng; Bingchao Xu; Xinyu Zhou
Journal:  Am J Transl Res       Date:  2022-03-15       Impact factor: 4.060

Review 3.  Review of Metabolomics-Based Biomarker Research for Parkinson's Disease.

Authors:  Xin Li; Xiaoying Fan; Hongtian Yang; Yufeng Liu
Journal:  Mol Neurobiol       Date:  2021-11-26       Impact factor: 5.590

4.  Protein Deimination Signatures in Plasma and Plasma-EVs and Protein Deimination in the Brain Vasculature in a Rat Model of Pre-Motor Parkinson's Disease.

Authors:  Marco Sancandi; Pinar Uysal-Onganer; Igor Kraev; Audrey Mercer; Sigrun Lange
Journal:  Int J Mol Sci       Date:  2020-04-15       Impact factor: 5.923

5.  Mitochondrial Signatures in Circulating Extracellular Vesicles of Older Adults with Parkinson's Disease: Results from the EXosomes in PArkiNson's Disease (EXPAND) Study.

Authors:  Anna Picca; Flora Guerra; Riccardo Calvani; Federico Marini; Alessandra Biancolillo; Giovanni Landi; Raffaella Beli; Francesco Landi; Roberto Bernabei; Anna Rita Bentivoglio; Maria Rita Lo Monaco; Cecilia Bucci; Emanuele Marzetti
Journal:  J Clin Med       Date:  2020-02-12       Impact factor: 4.241

Review 6.  Extracellular Vesicles and Damage-Associated Molecular Patterns: A Pandora's Box in Health and Disease.

Authors:  Anna Picca; Flora Guerra; Riccardo Calvani; Hélio José Coelho-Júnior; Francesco Landi; Roberto Bernabei; Roberta Romano; Cecilia Bucci; Emanuele Marzetti
Journal:  Front Immunol       Date:  2020-11-16       Impact factor: 7.561

7.  Comprehensive metabolic profiling of Parkinson's disease by liquid chromatography-mass spectrometry.

Authors:  Yaping Shao; Tianbai Li; Zheyi Liu; Xiaolin Wang; Xiaojiao Xu; Song Li; Guowang Xu; Weidong Le
Journal:  Mol Neurodegener       Date:  2021-01-23       Impact factor: 14.195

Review 8.  The Potential of Metabolomics in Biomedical Applications.

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

9.  Metabolomics Fingerprint Induced by the Intranigral Inoculation of Exogenous Human Alpha-Synuclein Oligomers in a Rat Model of Parkinson's Disease.

Authors:  Federica Murgia; Luigi Atzori; Ezio Carboni; Maria Laura Santoru; Aran Hendren; Augusta Pisanu; Pierluigi Caboni; Laura Boi; Giuliana Fusco; Anna R Carta
Journal:  Int J Mol Sci       Date:  2020-09-14       Impact factor: 5.923

10.  Plasma metabolites changes in male heroin addicts during acute and protracted withdrawal.

Authors:  Yong Zhou; Zhenrong Xie; Zunyue Zhang; Jiqing Yang; Minghui Chen; Fengrong Chen; Yuru Ma; Cheng Chen; Qingyan Peng; Lei Zou; Jianyuan Gao; Yu Xu; Yiqun Kuang; Mei Zhu; Dingyun You; Juehua Yu; Kunhua Wang
Journal:  Aging (Albany NY)       Date:  2021-07-19       Impact factor: 5.682

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