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Thireau, J.* ; Farah, C.* ; Molinari, N.* ; Bouilloux, F.* ; Torreilles, L.* ; Winkelmann, J. ; Scholz, S.* ; Richard, S.* ; Dauvilliers, Y.* ; Marmigère, F.*

MEIS1 variant as a determinant of autonomic imbalance in Restless Legs Syndrome.

Sci. Rep. 7:46620 (2017)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
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Restless Legs Syndrome (RLS) is a genetically complex neurological disorder in which overlapping genetic risk factors may contribute to the diversity and heterogeneity of the symptoms. The main goal of the study was to investigate, through analysis of heart rate variability (HRV), whether in RLS patients the MEIS1 polymorphism at risk influences the sympathovagal regulation in different sleep stages. Sixty-four RLS patients with periodic leg movement index above 15 per hour, and 38 controls underwent one night of video-polysomnographic recording. HRV in the frequency- and time- domains was analyzed during nighttime sleep. All RLS patients were genotyped, and homozygotes for rs2300478 in the MEIS1 locus were used for further analysis. Comparison of the sympathovagal pattern of RLS patients to control subjects did not show significant differences after adjustments for confounding factors in frequency-domain analyses, but showed an increased variability during N2 and N3 stages in time-domain analyses in RLS patients. Sorting of RLS patients according to MEIS1 polymorphism reconfirmed the association between MEIS1 and PLMS, and showed a significant increased sympathovagal balance during N3 stage in those homozygotes for the risk allele. RLS patients should be considered differently depending on MEIS1 genotype, some being potentially at risk for cardiovascular disorders.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Heart-rate-variability; Periodic Limb Movements; Blood-pressure Changes; Study-group Irlssg; Cardiovascular-disease; Developing Telencephalon; Diagnostic-criteria; Spectral-analysis; Nervous-system; Ekbom Disease
Sprache englisch
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Zeitschrift Scientific Reports
Quellenangaben Band: 7, Heft: , Seiten: , Artikelnummer: 46620 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-503200-001
PubMed ID 28425489
Scopus ID 85038840156
Erfassungsdatum 2017-07-04