Literature DB >> 28320165

HLA genotype as a marker of multiple sclerosis prognosis: A pilot study.

Andreas P Lysandropoulos1, Nicolas Mavroudakis2, Massimo Pandolfo2, Kaoutar El Hafsi2, Wim van Hecke3, Anke Maertens3, Thibo Billiet3, Annemie Ribbens3.   

Abstract

OBJECTIVE: The identification of a biomarker with prognostic value is an unmet need in multiple sclerosis (MS). The objective of this study was to investigate a possible association of HLA genotype with disease status and progression in MS, based on comprehensive and sensitive clinical and magnetic resonance imaging (MRI) parameters to measure disease effects.
METHOD: A total of 118 MS patients (79 females, 39 males) underwent HLA typing. Patient MS status was assessed at two time points in a 2-year interval, based on clinical scores (including EDSS, MSSS, T25FW, 9-HPT, SDMT, BVMT, CVLT-II) and MRI evaluations. Quantitative brain MRI values were obtained for whole brain atrophy, FLAIR lesion volume change and number of new lesions using MSmetrix. Predefined HLA patient groups were compared as of disease status and progression. Global assessment was achieved by an overall t-statistic and assessment per measurement by a Welch test and/or Mann Whitney U test. The effects of multiple covariates, including age, gender and disease duration as well as scan parameters, were also evaluated using a regression analysis.
RESULTS: The HLA-A*02 allele was associated with better outcomes in terms of MSSS, EDSS and new lesion count (Welch test p-value<0.05). The HLA-B*07 and HLA-B*44 alleles showed a global negative effect on disease status, although none of the measurements reached significance (p-value<0.05). Results for the HLA-DRB1*15, HLA-DQB1*06 and HLA-B*08 alleles were inconclusive. The influence of the confounding variables on the statistical analysis was limited.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical score; HLA genotype; Magnetic resonance imaging; Multiple sclerosis; Prognostic

Mesh:

Substances:

Year:  2017        PMID: 28320165     DOI: 10.1016/j.jns.2017.02.019

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  4 in total

Review 1.  Genotype and Phenotype in Multiple Sclerosis-Potential for Disease Course Prediction?

Authors:  Vilija G Jokubaitis; Yuan Zhou; Helmut Butzkueven; Bruce V Taylor
Journal:  Curr Treat Options Neurol       Date:  2018-04-24       Impact factor: 3.598

2.  Relation Between the Novel Marker Monocyte to High-Density Lipoprotein Cholesterol Ratio and Severity in Multiple Sclerosis.

Authors:  Ersin Kasım Ulusoy; Ömer Faruk Bolattürk; Mehmet Fatih Göl
Journal:  Ann Indian Acad Neurol       Date:  2020-06-10       Impact factor: 1.383

3.  Spatial analyzes of HLA data in Rio Grande do Sul, south Brazil: genetic structure and possible correlation with autoimmune diseases.

Authors:  Juliano André Boquett; Marcelo Zagonel-Oliveira; Luis Fernando Jobim; Mariana Jobim; Luiz Gonzaga; Maurício Roberto Veronez; Nelson Jurandi Rosa Fagundes; Lavínia Schüler-Faccini
Journal:  Int J Health Geogr       Date:  2018-09-14       Impact factor: 3.918

Review 4.  Epstein-Barr Virus and Multiple Sclerosis.

Authors:  Gunnar Houen; Nicole Hartwig Trier; Jette Lautrup Frederiksen
Journal:  Front Immunol       Date:  2020-12-17       Impact factor: 7.561

  4 in total

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