Kévin Mouzat

Dr. Kévin Mouzat

The Neuroscience Institute of Montpellier, Inserm UMR1051, University of Montpellier, 34091 Montpellier, CHU Nimes, 30029 Nimes, France

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Kévin MouzatKévin Mouzat
Kévin Mouzat
ACAleksandra Chudinova
Aleksandra Chudinova
APAnne Polge
Anne Polge
JKJovana Kantar
Jovana Kantar
William CamuWilliam Camu
William Camu
SLSerge Lumbroso
Serge Lumbroso
Liver X Receptors (LXR) alpha and beta are two members of nuclear receptor superfamily documented as endogenous cholesterol sensors. Following conversion of cholesterol in oxysterol, both LXR isoforms detect intracellular concentrations and act as transcription factors to promote expression of target genes. Among their numerous physiological roles, they act as central cholesterol-lowering factors. In the central nervous system (CNS), cholesterol has been shown to be an essential determinant of brain function, particularly as a major constituent of myelin and membranes. In the brain, LXRs act as cholesterol central regulators, and, beyond this metabolic function, LXRs have additional roles such as providing neuroprotective effects and lowering neuroinflammation. In many neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS), Alzheimer’s disease (AD), and multiple sclerosis (MS), dysregulations of cholesterol and oxysterol have been reported. In this paper, we propose to focus on recent advances in the knowledge of the LXRs roles on brain cholesterol and oxysterol homeostasis, neuroinflammation, neuroprotection, and their putative involvement in neurodegenerative disorders. We will discuss their potential use as candidates for both molecular diagnosis and as promising pharmacological targets in the treatment of ALS, AD, or MS patients.

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EBEmilien Bernard
Emilien Bernard
APAntoine Pegat
Antoine Pegat
JSJuliette Svahn
Juliette Svahn
FBFrançoise Bouhour
Françoise Bouhour
Pascal LeblancPascal Leblanc
Pascal Leblanc
Kévin MouzatKévin Mouzat
Kévin Mouzat
Mutations in the copper zinc superoxide dismutase 1 (SOD1) gene are the second most frequent cause of familial amyotrophic lateral sclerosis (ALS). Nearly 200 mutations of this gene have been described so far. We report all SOD1 pathogenic variants identified in patients followed in the single ALS center of Lyon, France, between 2010 and 2020. Twelve patients from 11 unrelated families are described, including two families with the not yet described H81Y and D126N mutations. Splice site mutations were detected in two families. We discuss implications concerning genetic screening of SOD1 gene in familial and sporadic ALS.

10 August 2016 in Cellular and Molecular Life Sciences
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Kévin MouzatKévin Mouzat
Kévin Mouzat
Cédric RaoulCédric Raoul
Cédric Raoul
APAnne Polge
Anne Polge
JKJovana Kantar
Jovana Kantar
WCWilliam Camu
William Camu
SLSerge Lumbroso
Serge Lumbroso

Verified
Journal Article
Open access
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LBLéa Bedja-Iacona
Léa Bedja-Iacona
AFArthur Forget
Arthur Forget
CBChloé Boisseau
Chloé Boisseau
SMSylviane Marouillat
Sylviane Marouillat
ACAleksandra Chudinova
Aleksandra Chudinova
Patrick Vourc'hPatrick Vourc'h
Patrick Vourc'h
Genetic testing in amyotrophic lateral sclerosis (ALS) often reveals variants of uncertain significance (VUS), which are frequently omitted from diagnostic reports or reported with limited clinical interpretation. To address this gap, we developed a rapid functional assessment pipeline in collaboration with FILSLAN, the French ALS care network, combining in vitro and in vivo neurogenetic assays. We illustrate this approach through the reclassification of the SOD1 p.Val120Leu variant, identified in an ALS patient, as pathogenic. Functional studies demonstrated that this variant leads to cytoplasmic aggregation, reduced neurite outgrowth, and abnormal motor behavior in zebrafish. These results support the systematic use of functional assays to clarify the pathogenicity of uncertain variants, thereby improving diagnostic accuracy, preventing misdiagnosis, and enabling timely therapeutic interventions in ALS.