Literature DB >> 25271123

LC-MS-based urinary metabolite signatures in idiopathic Parkinson's disease.

Hemi Luan1, Liang-Feng Liu, Nan Meng, Zhi Tang, Ka-Kit Chua, Lei-Lei Chen, Ju-Xian Song, Vincent C T Mok, Li-Xia Xie, Min Li, Zongwei Cai.   

Abstract

Increasing evidence has shown that abnormal metabolic phenotypes in body fluids reflect the pathogenesis and pathophysiology of Parkinson's disease (PD). These body fluids include urine; however, the relationship between, specifically, urinary metabolic phenotypes and PD is not fully understood. In this study, urinary metabolites from a total of 401 clinical urine samples collected from 106 idiopathic PD patients and 104 normal control subjects were profiled by using high-performance liquid chromatography coupled to high-resolution mass spectrometry. Our study revealed significant correlation between clinical phenotype and urinary metabolite profile. Metabolic profiles of idiopathic PD patients differed significantly and consistently from normal controls, with related metabolic pathway variations observed in steroidogenesis, fatty acid beta-oxidation, histidine metabolism, phenylalanine metabolism, tryptophan metabolism, nucleotide metabolism, and tyrosine metabolism. In the fruit fly Drosophila melanogaster, the alteration of the kynurenine pathway in tryptophan metabolism corresponded with pathogenic changes in the alpha-synuclein overexpressed Drosophila model of PD. The results suggest that LC-MS-based urinary metabolomic profiling can reveal the metabolite signatures and related variations in metabolic pathways that characterize PD. Consistent PD-related changes across species may provide the basis for understanding metabolic regulation of PD at the molecular level.

Entities:  

Keywords:  drosophila; idiopathic Parkinson’s disease; metabolic phenotype; metabolite signatures; urinary metabolomics

Mesh:

Substances:

Year:  2014        PMID: 25271123     DOI: 10.1021/pr500807t

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  36 in total

1.  A novel malic acid-enhanced method for the analysis of 5-methyl-2'-deoxycytidine, 5-hydroxymethyl-2'-deoxycytidine, 5-methylcytidine and 5-hydroxymethylcytidine in human urine using hydrophilic interaction liquid chromatography-tandem mass spectrometry.

Authors:  Cheng Guo; Cong Xie; Qin Chen; Xiaoji Cao; Mengzhe Guo; Shu Zheng; Yinsheng Wang
Journal:  Anal Chim Acta       Date:  2018-07-03       Impact factor: 6.558

Review 2.  Methods for studying the metabolic basis of Drosophila development.

Authors:  Hongde Li; Jason M Tennessen
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2017-05-26       Impact factor: 5.814

3.  Metabolomic biomarkers as strong correlates of Parkinson disease progression.

Authors:  Peter A LeWitt; Jia Li; Mei Lu; Lining Guo; Peggy Auinger
Journal:  Neurology       Date:  2017-02-08       Impact factor: 9.910

Review 4.  Molecular Probes, Chemosensors, and Nanosensors for Optical Detection of Biorelevant Molecules and Ions in Aqueous Media and Biofluids.

Authors:  Joana Krämer; Rui Kang; Laura M Grimm; Luisa De Cola; Pierre Picchetti; Frank Biedermann
Journal:  Chem Rev       Date:  2022-01-07       Impact factor: 60.622

5.  Metabolic changes may precede proteostatic dysfunction in a Drosophila model of amyloid beta peptide toxicity.

Authors:  Stanislav Ott; Anastasia Vishnivetskaya; Anders Malmendal; Damian C Crowther
Journal:  Neurobiol Aging       Date:  2016-02-11       Impact factor: 4.673

Review 6.  Urinary Biomarkers of Brain Diseases.

Authors:  Manxia An; Youhe Gao
Journal:  Genomics Proteomics Bioinformatics       Date:  2016-01-02       Impact factor: 7.691

7.  Association between Oxidative DNA Damage and Risk of Colorectal Cancer: Sensitive Determination of Urinary 8-Hydroxy-2'-deoxyguanosine by UPLC-MS/MS Analysis.

Authors:  Cheng Guo; Xiaofen Li; Rong Wang; Jiekai Yu; Minfeng Ye; Lingna Mao; Suzhan Zhang; Shu Zheng
Journal:  Sci Rep       Date:  2016-09-02       Impact factor: 4.379

Review 8.  Metabolomics for the masses: The future of metabolomics in a personalized world.

Authors:  Drupad K Trivedi; Katherine A Hollywood; Royston Goodacre
Journal:  New Horiz Transl Med       Date:  2017-03

Review 9.  Pursuing Multiple Biomarkers for Early Idiopathic Parkinson's Disease Diagnosis.

Authors:  Yareth Gopar-Cuevas; Ana P Duarte-Jurado; Rosa N Diaz-Perez; Odila Saucedo-Cardenas; Maria J Loera-Arias; Roberto Montes-de-Oca-Luna; Humberto Rodriguez-Rocha; Aracely Garcia-Garcia
Journal:  Mol Neurobiol       Date:  2021-08-05       Impact factor: 5.590

10.  Comprehensive urinary metabolomic profiling and identification of potential noninvasive marker for idiopathic Parkinson's disease.

Authors:  Hemi Luan; Liang-Feng Liu; Zhi Tang; Manwen Zhang; Ka-Kit Chua; Ju-Xian Song; Vincent C T Mok; Min Li; Zongwei Cai
Journal:  Sci Rep       Date:  2015-09-14       Impact factor: 4.379

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