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Exploring the Association of HLA Genetic Risk Burden on Thalamic and Hippocampal Atrophy in Multiple Sclerosis Patients
Multiple sclerosis (MS) is a complex disease of the central nervous system for which human leukocyte antigen (HLA) alleles are major contributors to susceptibility. Several investigations have focused on the relationship between HLA and clinical parameters, while few studies have evaluated its corre...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690825/ https://www.ncbi.nlm.nih.gov/pubmed/36421810 http://dx.doi.org/10.3390/genes13112136 |
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author | Santoro, Silvia Clarelli, Ferdinando Preziosa, Paolo Storelli, Loredana Cannizzaro, Miryam Mascia, Elisabetta Esposito, Federica Rocca, Maria Assunta Filippi, Massimo |
author_facet | Santoro, Silvia Clarelli, Ferdinando Preziosa, Paolo Storelli, Loredana Cannizzaro, Miryam Mascia, Elisabetta Esposito, Federica Rocca, Maria Assunta Filippi, Massimo |
author_sort | Santoro, Silvia |
collection | PubMed |
description | Multiple sclerosis (MS) is a complex disease of the central nervous system for which human leukocyte antigen (HLA) alleles are major contributors to susceptibility. Several investigations have focused on the relationship between HLA and clinical parameters, while few studies have evaluated its correlation with brain magnetic resonance imaging (MRI) measures. We investigated the association between the HLA genetic burden (HLAGB), originating from the most updated HLA alleles associated with MS, and neuroimaging endophenotypes, with a specific focus on brain atrophy metrics. A monocentric Italian cohort of 334 MS patients with imputed HLA alleles and cross-sectional volumetric measures of white matter (WM), gray matter (GM), hippocampus, thalamus and T2-hyperintense lesions was investigated. Linear regression models with covariate adjustment were fitted for each metric. We detected no effect of HLAGB on WM and GM volumes. Interestingly, we found a marginal correlation between higher HLAGB and lower hippocampal volume (β = −0.142, p = 0.063) and a nominal association between higher HLAGB and lower thalamic volume (β = −0.299, p = 0.047). No association was found with T2 lesion volumes. The putative impact of higher HLAGB on hippocampus and thalamus suggests, if replicated in independent cohorts, a possible cumulative contribution of HLA risk loci on brain volumetric traits linked to clinical deficits in MS. |
format | Online Article Text |
id | pubmed-9690825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96908252022-11-25 Exploring the Association of HLA Genetic Risk Burden on Thalamic and Hippocampal Atrophy in Multiple Sclerosis Patients Santoro, Silvia Clarelli, Ferdinando Preziosa, Paolo Storelli, Loredana Cannizzaro, Miryam Mascia, Elisabetta Esposito, Federica Rocca, Maria Assunta Filippi, Massimo Genes (Basel) Article Multiple sclerosis (MS) is a complex disease of the central nervous system for which human leukocyte antigen (HLA) alleles are major contributors to susceptibility. Several investigations have focused on the relationship between HLA and clinical parameters, while few studies have evaluated its correlation with brain magnetic resonance imaging (MRI) measures. We investigated the association between the HLA genetic burden (HLAGB), originating from the most updated HLA alleles associated with MS, and neuroimaging endophenotypes, with a specific focus on brain atrophy metrics. A monocentric Italian cohort of 334 MS patients with imputed HLA alleles and cross-sectional volumetric measures of white matter (WM), gray matter (GM), hippocampus, thalamus and T2-hyperintense lesions was investigated. Linear regression models with covariate adjustment were fitted for each metric. We detected no effect of HLAGB on WM and GM volumes. Interestingly, we found a marginal correlation between higher HLAGB and lower hippocampal volume (β = −0.142, p = 0.063) and a nominal association between higher HLAGB and lower thalamic volume (β = −0.299, p = 0.047). No association was found with T2 lesion volumes. The putative impact of higher HLAGB on hippocampus and thalamus suggests, if replicated in independent cohorts, a possible cumulative contribution of HLA risk loci on brain volumetric traits linked to clinical deficits in MS. MDPI 2022-11-17 /pmc/articles/PMC9690825/ /pubmed/36421810 http://dx.doi.org/10.3390/genes13112136 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Santoro, Silvia Clarelli, Ferdinando Preziosa, Paolo Storelli, Loredana Cannizzaro, Miryam Mascia, Elisabetta Esposito, Federica Rocca, Maria Assunta Filippi, Massimo Exploring the Association of HLA Genetic Risk Burden on Thalamic and Hippocampal Atrophy in Multiple Sclerosis Patients |
title | Exploring the Association of HLA Genetic Risk Burden on Thalamic and Hippocampal Atrophy in Multiple Sclerosis Patients |
title_full | Exploring the Association of HLA Genetic Risk Burden on Thalamic and Hippocampal Atrophy in Multiple Sclerosis Patients |
title_fullStr | Exploring the Association of HLA Genetic Risk Burden on Thalamic and Hippocampal Atrophy in Multiple Sclerosis Patients |
title_full_unstemmed | Exploring the Association of HLA Genetic Risk Burden on Thalamic and Hippocampal Atrophy in Multiple Sclerosis Patients |
title_short | Exploring the Association of HLA Genetic Risk Burden on Thalamic and Hippocampal Atrophy in Multiple Sclerosis Patients |
title_sort | exploring the association of hla genetic risk burden on thalamic and hippocampal atrophy in multiple sclerosis patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690825/ https://www.ncbi.nlm.nih.gov/pubmed/36421810 http://dx.doi.org/10.3390/genes13112136 |
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