Reference : Studying the Parkinson's disease metabolome and exposome in biological samples throug...
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
http://hdl.handle.net/10993/51868
Studying the Parkinson's disease metabolome and exposome in biological samples through different analytical and cheminformatics approaches: a pilot study
English
Talavera Andujar, Begona[University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Environmental Cheminformatics >]
Aurich, Dagny[University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Environmental Cheminformatics >]
Aho, Velma[University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Ecology >]
Singh, Randolph R.[IFREMER (Institut Français de Recherche pour l’Exploitation de la Mer) > Unité Contamination Chimique des Ecosystèmes Marins, Nantes, France]
Cheng, Tiejun[National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA]
Zaslavsky, Leonid[National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA]
Bolton, Evan E.[National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA]
Mollenhauer, Brit[Department of Neurology, University Medical Center Göttingen, Göttingen, Germany > > > ; Paracelsus-Elena-Klinik, Kassel, Germany]
Wilmes, Paul[University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Ecology >]
Schymanski, Emma[University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Environmental Cheminformatics >]
[en] Liquid-Chromatography (LC) ; Non-target high resolution mass spectrometry (NT-HRMS) ; Metabolomics ; Exposomics ; Parkinson’s Disease ; Gut dysbiosis
[en] Parkinson’s disease (PD) is the second most prevalent neurodegenerative disease, with an increasing incidence in recent years due to the ageing population. Genetic mutations alone only explain <10% of PD cases, while environmental factors, including small molecules, may play a significant role in PD. In the present work, 22 plasma (11 PD, 11 control) and 19 feces samples (10 PD, 9 control) were analyzed by non-target high resolution mass spectrometry (NT-HRMS) coupled to two liquid chromatography (LC) methods (reversed phase (RP) and hydrophilic interaction liquid chromatography (HILIC)). A cheminformatics workflow was optimized using open software (MS-DIAL and patRoon) and open databases (all public MSP-formatted spectral libraries for MS-DIAL, PubChemLite for Exposomics and the LITMINEDNEURO list for patRoon). Furthermore, five disease-specific databases and three suspect lists (on PD and related disorders) were developed, using PubChem functionality to identifying relevant unknown chemicals. The results showed that non-target screening with the larger databases generally provided better results compared with smaller suspect lists. However, two suspect screening approaches with patRoon were also good options to study specific chemicals in PD. The combination of chromatographic methods (RP and HILIC) as well as two ionization modes (positive and negative) enhanced the coverage of chemicals in the biological samples. While most metabolomics studies in PD have focused on blood and cerebrospinal fluid, we found a higher number of relevant features in feces, such as alanine betaine or nicotinamide, which can be directly metabolized by gut microbiota. This highlights the potential role of gut dysbiosis in PD development.
Luxembourg Centre for Systems Biomedicine (LCSB): Environmental Cheminformatics (Schymanski Group) ; Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group)
[University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Environmental Cheminformatics >]
