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Publication Detail
Metabolite and lipoprotein profiles reveal sex-related oxidative stress imbalance in de novo drug-naive Parkinson's disease patients
  • Publication Type:
    Journal article
  • Authors:
    Meoni G, Tenori L, Schade S, Licari C, Pirazzini C, Bacalini MG, Garagnani P, Turano P, Molin AD, Bartoletti-Stella A, Gabellini A, Adarmes-Gómez AD, Scaglione CLM, Nardini C, Rosaria C, Boninsegna C, Sala C, Giuliani C, Tejera-Parrado C, Macias D, Buiza-Rueda D, Williams D, Zago E, Provini F, Magrinelli F, Mignani F, Ravaioli F, Valzania F, Sixel-Döring F, Mengozzi G, Calandra-Buonaura G, Dimitri GM, Fabbri G, Houlden H, Huertas I, Doykov I, Hällqvist J, Rodríguez JFM, Jylhävä J, Bhatia KP, Mills K, Baldelli L, Xumerle L, Sambati L, Milazzo M, Broli M, Maturo MG, Periñán-Tocino MT, Carriòn-Claro M, Bonilla-Toribio M, Delledonne M, Labrador-Espinosa MA, Pedersen NL, Mir P, De Massis P, Cortelli P, Guaraldi P, Liò P, Gómez-Garre P, Clayton R, Escuela-Martin R, Ortega RV, Capellari S, Hägg S, Schreglmann SR, De Luca S, Spasov S, Nassetti SA, Macrì S, Azevedo T, Heywood W, Trenkwalder C, Franceschi C, Mollenhauer B, Luchinat C
  • Publisher:
    Springer Science and Business Media LLC
  • Publication date:
  • Journal:
    npj Parkinson's Disease
  • Volume:
  • Article number:
  • Status:
  • Language:
  • Keywords:
    Diagnostic markers, Parkinson's disease, Predictive markers
  • Notes:
    This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Parkinson’s disease (PD) is the neurological disorder showing the greatest rise in prevalence from 1990 to 2016. Despite clinical definition criteria and a tremendous effort to develop objective biomarkers, precise diagnosis of PD is still unavailable at early stage. In recent years, an increasing number of studies have used omic methods to unveil the molecular basis of PD, providing a detailed characterization of potentially pathological alterations in various biological specimens. Metabolomics could provide useful insights to deepen our knowledge of PD aetiopathogenesis, to identify signatures that distinguish groups of patients and uncover responsive biomarkers of PD that may be significant in early detection and in tracking the disease progression and drug treatment efficacy. The present work is the first large metabolomic study based on nuclear magnetic resonance (NMR) with an independent validation cohort aiming at the serum characterization of de novo drug-naive PD patients. Here, NMR is applied to sera from large training and independent validation cohorts of German subjects. Multivariate and univariate approaches are used to infer metabolic differences that characterize the metabolite and the lipoprotein profiles of newly diagnosed de novo drug-naive PD patients also in relation to the biological sex of the subjects in the study, evidencing a more pronounced fingerprint of the pathology in male patients. The presence of a validation cohort allowed us to confirm altered levels of acetone and cholesterol in male PD patients. By comparing the metabolites and lipoproteins levels among de novo drug-naive PD patients, age- and sex-matched healthy controls, and a group of advanced PD patients, we detected several descriptors of stronger oxidative stress.
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Clinical and Movement Neurosciences
UCL GOS Institute of Child Health
Genetics & Genomic Medicine Dept
Department of Neuromuscular Diseases
Clinical and Movement Neurosciences
Genetics & Genomic Medicine Dept
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