INTRODUCTION: The existence of antibodies to aquaporin-4 (AQP-4-ab) has identified neuromyelitis optica (NMO) and multiple sclerosis (MS) as different diseases. Although HLA-DRB1 alleles contribute to MS risk, recent studies suggest that HLA back-ground differs between patients with NMO or MS in non-Caucasians populations. Our study was aimed to analyze HLA-DRB1 distribution in Caucasians NMO patients. SUBJECTS AND METHODS: We recruited a cohort of 22 NMO patients (73% were AQP-4-ab positive), 228 MS patients and 225 healthy controls from Spain and we genotyped the HLA-DRB1 locus. Then, we performed a pool analysis using reported data from 45 NMO patients (53% were AQP-4-ab positive), 156 MS patients and 310 healthy controls from Caucasian French population. RESULTS: In the Spanish cohort, NMO was associated with increased frequency of DRB1*10 allele compared with MS (odds ratio, OR = 15.1; 95% confidence interval, 95% CI = 3.26-69.84; p = 0.012). In the pooled analysis, by comparison with healthy controls, NMO was associated with increased frequency of DRB1*03 allele (OR = 2.27; 95% CI = 1.44-3.58; p < 0.0008) which was related to AQP-4-ab seropositivity (OR = 2.74; 95% CI = 1.58-4.77; p < 0.0008). By contrast, MS was associated with increased frequency of DRB1*15 allele (OR = 2.09; 95% CI = 1.62-2.68; p < 0.0008) and decreased frequency of DRB1*07 allele (OR = 0.58; 95% CI = 0.44-0.78; p < 0.0008). CONCLUSIONS: Caucasian patients with NMO and MS have a different HLA-DRB1 allelic distribution. DRB1*03 allele seems to contribute to NMO seropositivity. Multicenter collaborative efforts are needed to adequately address the genetic contribution to NMO susceptibility.
INTRODUCTION: The existence of antibodies to aquaporin-4 (AQP-4-ab) has identified neuromyelitis optica (NMO) and multiple sclerosis (MS) as different diseases. Although HLA-DRB1 alleles contribute to MS risk, recent studies suggest that HLA back-ground differs between patients with NMO or MS in non-Caucasians populations. Our study was aimed to analyze HLA-DRB1 distribution in Caucasians NMO patients. SUBJECTS AND METHODS: We recruited a cohort of 22 NMO patients (73% were AQP-4-ab positive), 228 MS patients and 225 healthy controls from Spain and we genotyped the HLA-DRB1 locus. Then, we performed a pool analysis using reported data from 45 NMO patients (53% were AQP-4-ab positive), 156 MS patients and 310 healthy controls from Caucasian French population. RESULTS: In the Spanish cohort, NMO was associated with increased frequency of DRB1*10 allele compared with MS (odds ratio, OR = 15.1; 95% confidence interval, 95% CI = 3.26-69.84; p = 0.012). In the pooled analysis, by comparison with healthy controls, NMO was associated with increased frequency of DRB1*03 allele (OR = 2.27; 95% CI = 1.44-3.58; p < 0.0008) which was related to AQP-4-ab seropositivity (OR = 2.74; 95% CI = 1.58-4.77; p < 0.0008). By contrast, MS was associated with increased frequency of DRB1*15 allele (OR = 2.09; 95% CI = 1.62-2.68; p < 0.0008) and decreased frequency of DRB1*07 allele (OR = 0.58; 95% CI = 0.44-0.78; p < 0.0008). CONCLUSIONS: Caucasian patients with NMO and MS have a different HLA-DRB1 allelic distribution. DRB1*03 allele seems to contribute to NMO seropositivity. Multicenter collaborative efforts are needed to adequately address the genetic contribution to NMO susceptibility.
Authors: Su-Hyun Kim; Maureen A Mealy; Michael Levy; Felix Schmidt; Klemens Ruprecht; Friedemann Paul; Marius Ringelstein; Orhan Aktas; Hans-Peter Hartung; Nasrin Asgari; Jessica Li Tsz-Ching; Sasitorn Siritho; Naraporn Prayoonwiwat; Hyun-June Shin; Jae-Won Hyun; Mira Han; Maria Isabel Leite; Jacqueline Palace; Ho Jin Kim Journal: Neurology Date: 2018-10-26 Impact factor: 9.910
Authors: Inna Tabansky; Akemi J Tanaka; Jiayao Wang; Guanglan Zhang; Irena Dujmovic; Simone Mader; Venkatesh Jeganathan; Tracey DeAngelis; Michael Funaro; Asaff Harel; Mark Messina; Maya Shabbir; Vishaan Nursey; William DeGouvia; Micheline Laurent; Karen Blitz; Peter Jindra; Mark Gudesblatt; Alejandra King; Jelena Drulovic; Edmond Yunis; Vladimir Brusic; Yufeng Shen; Derin B Keskin; Souhel Najjar; Joel N H Stern Journal: Front Immunol Date: 2022-10-04 Impact factor: 8.786
Authors: Arlette L Bruijstens; Yu Yi M Wong; Daniëlle E van Pelt; Pieter J E van der Linden; Geert W Haasnoot; Rogier Q Hintzen; Frans H J Claas; Rinze F Neuteboom; Beatrijs H A Wokke Journal: Neurol Neuroimmunol Neuroinflamm Date: 2020-03-20