Prevention of 7-Ketocholesterol-Induced Overproduction of Reactive Oxygen Species, Mitochondrial Dysfunction and Cell Death with Major Nutrients (Polyphenols, ω3 and ω9 Unsaturated Fatty Acids) of the Mediterranean Diet on N2a Neuronal Cells.


Journal

Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009

Informations de publication

Date de publication:
13 May 2020
Historique:
received: 21 04 2020
revised: 10 05 2020
accepted: 12 05 2020
entrez: 17 5 2020
pubmed: 18 5 2020
medline: 12 2 2021
Statut: epublish

Résumé

The brain, which is a cholesterol-rich organ, can be subject to oxidative stress in a variety of pathophysiological conditions, age-related diseases and some rare pathologies. This can lead to the formation of 7-ketocholesterol (7KC), a toxic derivative of cholesterol mainly produced by auto-oxidation. So, preventing the neuronal toxicity of 7KC is an important issue to avoid brain damage. As there are numerous data in favor of the prevention of neurodegeneration by the Mediterranean diet, this study aimed to evaluate the potential of a series of polyphenols (resveratrol, RSV; quercetin, QCT; and apigenin, API) as well as ω3 and ω9 unsaturated fatty acids (α-linolenic acid, ALA; eicosapentaenoic acid, EPA; docosahexaenoic acid, DHA, and oleic acid, OA) widely present in this diet, to prevent 7KC (50 µM)-induced dysfunction of N2a neuronal cells. When polyphenols and fatty acids were used at non-toxic concentrations (polyphenols: ≤6.25 µM; fatty acids: ≤25 µM) as defined by the fluorescein diacetate assay, they greatly reduce 7KC-induced toxicity. The cytoprotective effects observed with polyphenols and fatty acids were comparable to those of α-tocopherol (400 µM) used as a reference. These polyphenols and fatty acids attenuate the overproduction of reactive oxygen species and the 7KC-induced drop in mitochondrial transmembrane potential (ΔΨm) measured by flow cytometry after dihydroethidium and DiOC

Identifiants

pubmed: 32414101
pii: molecules25102296
doi: 10.3390/molecules25102296
pmc: PMC7287847
pii:
doi:

Substances chimiques

Fatty Acids, Omega-3 0
Ketocholesterols 0
Polyphenols 0
Reactive Oxygen Species 0
7-ketocholesterol O7676FE78M

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Aline Yammine (A)

Team Bio-peroxIL, Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism' EA 7270, University Bourgogne Franche-Comté, Inserm, 21000 Dijon, France.
Bioactive Molecules Research Laboratory, Doctoral School of Sciences and Technologies, Faculty of Sciences, Lebanese University, Fanar, P.O. Box 90656 Jdeidet, Lebanon.

Thomas Nury (T)

Team Bio-peroxIL, Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism' EA 7270, University Bourgogne Franche-Comté, Inserm, 21000 Dijon, France.

Anne Vejux (A)

Team Bio-peroxIL, Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism' EA 7270, University Bourgogne Franche-Comté, Inserm, 21000 Dijon, France.

Norbert Latruffe (N)

Team Bio-peroxIL, Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism' EA 7270, University Bourgogne Franche-Comté, Inserm, 21000 Dijon, France.

Dominique Vervandier-Fasseur (D)

Team OCS, Institute of Molecular Chemistry of University of Burgundy (ICMUB UMR CNRS 6302), University Bourgogne Franche-Comté, 21000 Dijon, France.

Mohammad Samadi (M)

LCPMC-A2, ICPM, Departement of Chemistry, University Lorraine, Metz Technopôle, 57070 Metz, France.

Hélène Greige-Gerges (H)

Bioactive Molecules Research Laboratory, Doctoral School of Sciences and Technologies, Faculty of Sciences, Lebanese University, Fanar, P.O. Box 90656 Jdeidet, Lebanon.

Lizette Auezova (L)

Bioactive Molecules Research Laboratory, Doctoral School of Sciences and Technologies, Faculty of Sciences, Lebanese University, Fanar, P.O. Box 90656 Jdeidet, Lebanon.

Gérard Lizard (G)

Team Bio-peroxIL, Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism' EA 7270, University Bourgogne Franche-Comté, Inserm, 21000 Dijon, France.

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Classifications MeSH