Gender specific decrease of a set of circulating N-acylphosphatidyl ethanolamines (NAPEs) in the plasma of Parkinson's disease patients.


Journal

Metabolomics : Official journal of the Metabolomic Society
ISSN: 1573-3890
Titre abrégé: Metabolomics
Pays: United States
ID NLM: 101274889

Informations de publication

Date de publication:
03 05 2019
Historique:
received: 17 10 2018
accepted: 25 04 2019
entrez: 5 5 2019
pubmed: 6 5 2019
medline: 2 5 2020
Statut: epublish

Résumé

Current markers of Parkinson's disease (PD) fail to detect the early progression of disease state. Conversely, current omics techniques allow the investigation of hundreds of molecules potentially altered by disease conditions. Based on evidence previously collected by our group in a mouse model of PD, we speculated that a particular set of circulating lipids might be significantly altered by the pathology. The aim of current study was to evaluate the potential of a particular set of N-acyl-phosphatidylethanolamines (NAPEs) as potential non-invasive plasma markers of ongoing neurodegeneration from Parkinson's disease in human subjects. A panel of seven NAPEs were quantified by LC-MS/MS in the plasma of 587 individuals (healthy controls, n = 319; Parkinson's disease, n = 268); Random Forest classification and statistical modeling was applied to compare Parkinson's disease versus controls. All p-values obtained in different tests were corrected for multiplicity by controlling the false discovery rate (FDR). The results indicate that this panel of NAPEs is able to distinguish female PD patients from the corresponding healthy controls. Further to this, the observed downregulation of these NAPEs is in line with the results in plasma of a mouse model of Parkinson's (6-OHDA). In the current study we have shown the downregulation of NAPEs in plasma of PD patients and we thus speculate that these lipids might serve as candidate biomarkers for PD. We also suggest a molecular mechanism, explaining our findings, which involves gut microbiota.

Identifiants

pubmed: 31053995
doi: 10.1007/s11306-019-1536-z
pii: 10.1007/s11306-019-1536-z
pmc: PMC6499742
doi:

Substances chimiques

N-acylphosphatidylethanolamine 0
Phosphatidylethanolamines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

74

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Auteurs

Zeeshan Hamid (Z)

D3Validation, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy.
Scuola Superiore Sant'Anna, via Piazza Martiri della Libertà, 33, 56127, Pisa, Italy.

Abdul Basit (A)

D3Validation, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy.

Silvia Pontis (S)

D3Validation, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy.

Fabrizio Piras (F)

Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.

Francesca Assogna (F)

Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.

Paola Bossù (P)

Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.

Francesco Ernesto Pontieri (FE)

Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University, Via di Grottarossa 1035, 00189, Rome, Italy.

Alessandro Stefani (A)

Department of Medicine of Systems, Tor Vergata University, Viale Oxford 81, 00133, Rome, Italy.

Gianfranco Spalletta (G)

Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.

Pietro Franceschi (P)

Computational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, San Michele all'Adige, TN, Italy.

Angelo Reggiani (A)

D3Validation, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy.

Andrea Armirotti (A)

Analytical Chemistry Lab, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy. andrea.armirotti@iit.it.

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Classifications MeSH