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Strnad A, Sikorova K, Rapti A, Adam K, Charikiopoulou M, Kocourkova L, Strakova G, Kallianos A, Bouros D, Petrek M. Association of HLA variants and related SNPs with sarcoidosis and its phenotypes in the Greek patients. Gene 2024; 927:148706. [PMID: 38885820 DOI: 10.1016/j.gene.2024.148706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/07/2024] [Accepted: 06/14/2024] [Indexed: 06/20/2024]
Affiliation(s)
- Adam Strnad
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Katerina Sikorova
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Angeliki Rapti
- General Hospital Chest Diseases of Athens "Sotiria", Athens, Greece
| | - Kalliopi Adam
- Department of Immunology and Histocompatibility, Laiko General Hospital, Athens, Greece
| | | | - Lenka Kocourkova
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Gabriela Strakova
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | | | - Demosthenes Bouros
- Medical School, National and Kapodistrian University of Athens First Academic Department of Pneumonology, Interstitial Lung Diseases Unit, Hospital for Diseases of the Chest "Sotiria", Athens, Greece
| | - Martin Petrek
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic.
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Wen R, Xi YJ, Zhang R, Hou SJ, Shi JY, Chen JY, Zhang HY, Qiao J, Feng YQ, Zhang SX. Prescription glucocorticoid medication and iridocyclitis are associated with an increased risk of senile cataract occurrence: a Mendelian randomization study. Aging (Albany NY) 2024; 16:10563-10578. [PMID: 38925660 PMCID: PMC11236313 DOI: 10.18632/aging.205963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 05/06/2024] [Indexed: 06/28/2024]
Abstract
Iridocyclitis and the use of glucocorticoid medication have been widely studied as susceptibility factors for cataracts. However, the causal relationship between them remains unclear. This study aimed to investigate the causal relationship between the development of iridocyclitis and the genetic liability of glucocorticoid medication use on the risk of senile cataracts occurrence by performing Two-sample Mendelian randomization (MR) analyses. Instrumental variables (IVs) significantly associated with exposure factors (P < 5 × 10-8) were identified using published genome-wide association data from the FinnGen database and UK Biobank. Reliability analyses were conducted using five approaches, including inverse-variance weighted (IVW), MR-Egger regression, simple median, weighted median, and weighted mode. A sensitivity analysis using the leave-one-out method was also performed. Genetic susceptibility to glucocorticoid use was associated with an increased risk of developing senile cataracts (OR, 1.10; 95% CI, 1.02-1.17; P < 0.05). Moreover, iridocyclitis was significantly associated with a higher risk of developing senile cataracts (OR, 1.03; 95% CI, 1.01-1.05; P < 0.05). Nonetheless, some heterogeneity in the IVs was observed, but the MR results remained consistent after penalizing for outliers. The estimates were consistent in multivariate analyses by adjusting for body mass index (BMI) and diabetes mellitus type 2 (T2DM). This study provides new insights into the prevention and management of senile cataracts by highlighting the increased risk associated with iridocyclitis and the use of glucocorticoids.
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Affiliation(s)
- Rui Wen
- Department of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
| | - Yu-Jia Xi
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
| | - Ran Zhang
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
| | - Si-Jia Hou
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jin-Yu Shi
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
- Department of Breast Surgery, Fifth Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jin-Yi Chen
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
| | - He-Yi Zhang
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
| | - Jun Qiao
- Department of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
| | - Yi-Qian Feng
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
| | - Sheng-Xiao Zhang
- Department of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi, China
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Sornsamdang G, Shobana J, Chanprapaph K, Chantratita W, Chotewutmontri S, Limtong P, O-Charoen P, Sukasem C. Novel genetic variants of HLA gene associated with Thai Behcet's disease (BD) patients using next generation sequencing technology. Sci Rep 2024; 14:7967. [PMID: 38575661 PMCID: PMC10995258 DOI: 10.1038/s41598-024-58254-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 03/27/2024] [Indexed: 04/06/2024] Open
Abstract
Behçet's disease (BD) manifests as an autoimmune disorder featuring recurrent ulcers and multi-organ involvement, influenced by genetic factors associated with both HLA and non-HLA genes, including TNF-α and ERAP1. The study investigated the susceptible alleles of both Class I and II molecules of the HLA gene in 56 Thai BD patients and 192 healthy controls through next-generation sequencing using a PacBio kit. The study assessed 56 BD patients, primarily females (58.9%), revealing diverse manifestations including ocular (41.1%), vascular (35.7%), skin (55.4%), CNS (5.4%), and GI system (10.7%) involvement. This study found associations between BD and HLA-A*26:01:01 (OR 3.285, 95% CI 1.135-9.504, P-value 0.028), HLA-B*39:01:01 (OR 6.176, 95% CI 1.428-26.712, P-value 0.015), HLA-B*51:01:01 (OR 3.033, 95% CI 1.135-8.103, P-value 0.027), HLA-B*51:01:02 (OR 6.176, 95% CI 1.428-26.712, P-value 0.015), HLA-C*14:02:01 (OR 3.485, 95% CI 1.339-9.065, P-value 0.01), HLA-DRB1*14:54:01 (OR 1.924, 95% CI 1.051-3.522, P-value 0.034), and HLA-DQB1*05:03:01 (OR 3.00, 95% CI 1.323-6.798, P-value 0.008). However, after Bonferroni correction none of these alleles were found to be associated with BD. In haplotype analysis, we found a strong linkage disequilibrium in HLA-B*51:01:01, HLA-C*14:02:01 (P-value 0.0, Pc-value 0.02). Regarding the phenotype, a significant association was found between HLA-DRB1*14:54:01 (OR 11.67, 95% CI 2.86-47.57, P-value 0.001) and BD with ocular involvement, apart from this, no distinct phenotype-HLA association was documented. In summary, our study identifies specific HLA associations in BD. Although limited by a small sample size, we acknowledge the need for further investigation into HLA relationships with CNS, GI, and neurological phenotypes in the Thai population.
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Affiliation(s)
- Gaidganok Sornsamdang
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
| | - John Shobana
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
| | - Kumutnart Chanprapaph
- Division of Dermatology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Wasun Chantratita
- Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Sasithorn Chotewutmontri
- Faculty of Medicine and Public Health, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand
| | - Preeyachat Limtong
- Division of Dermatology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Pichaya O-Charoen
- Division of Allergy, Immunology, and Rheumatology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand.
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand.
- Pharmacogenomics and Precision Medicine, The Preventive Genomics & Family Check-Up Services Center, Bumrungrad International Hospital, Bangkok, Thailand.
- Department of Pharmacology and Therapeutics, MRC Centre for Drug Safety Science, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
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Montero-Martin G, Kichula KM, Misra MK, Vargas LB, Marin WM, Hollenbach JA, Fernández-Viña MA, Elfishawi S, Norman PJ. Exceptional diversity of KIR and HLA class I in Egypt. HLA 2024; 103:e15177. [PMID: 37528739 PMCID: PMC11068459 DOI: 10.1111/tan.15177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/25/2023] [Accepted: 07/14/2023] [Indexed: 08/03/2023]
Abstract
Genetically determined variation of killer cell immunoglobulin like receptors (KIR) and their HLA class I ligands affects multiple aspects of human health. Their extreme diversity is generated through complex interplay of natural selection for pathogen resistance and reproductive health, combined with demographic structure and dispersal. Despite significant importance to multiple health conditions of differential effect across populations, the nature and extent of immunogenetic diversity is under-studied for many geographic regions. Here, we describe the first high-resolution analysis of KIR and HLA class I combinatorial diversity in Northern Africa. Analysis of 125 healthy unrelated individuals from Cairo in Egypt yielded 186 KIR alleles arranged in 146 distinct centromeric and 79 distinct telomeric haplotypes. The most frequent haplotypes observed were KIR-A, encoding two inhibitory receptors specific for HLA-C, two that are specific for HLA-A and -B, and no activating receptors. Together with 141 alleles of HLA class I, 75 of which encode a KIR ligand, we identified a mean of six distinct interacting pairs of inhibitory KIR and HLA allotypes per individual. We additionally characterize 16 KIR alleles newly identified in the study population. Our findings place Egyptians as one of the most highly diverse populations worldwide, with important implications for transplant matching and studies of immune-mediated diseases.
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Affiliation(s)
| | - Katherine M. Kichula
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Maneesh K. Misra
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of Chicago Medicine, Chicago, IL, USA
| | - Luciana B. Vargas
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Wesley M. Marin
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Jill A. Hollenbach
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | | | - Sally Elfishawi
- BMT lab unit, Clinical Pathology Dept., National Cancer Institute, Cairo University, Cairo, Egypt
| | - Paul J. Norman
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, USA
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de Andrade FA, Porto LC, Gomes Ochtrop ML, Bacchiega ABS, de Almeida Neves R, Morette L, Santos G, de Souza AWS, Matos K, Abramino Levy R. HLA Alleles in a Behçet Disease Multiethnic Population With and Without Ophthalmic Manifestations. J Clin Rheumatol 2023; 29:341-346. [PMID: 37748433 DOI: 10.1097/rhu.0000000000002023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
OBJECTIVE The aim of this study was to analyze HLA alleles in patients with Behçet disease (BD) and their correlation with ophthalmic manifestations (OMs) in a multiethnic Brazilian population. METHODS This case-control study compared 72 BD patients with or without OM who underwent a thorough ophthalmologic evaluation, including best-corrected visual acuity, bino-ophthalmoscopy, and HLA analysis, with 144 matched healthy controls. Fluorescein angiography was also performed in the patients with BD and OM. HLA class I (A, B, and C) and II (DRB1, DQB1, and DQA1) typing were performed using PCR-SSO. RESULTS Of 72 patients with BD, 42 (58%) had OM. The HLA-B*51 and -A*26 alleles were more frequent in patients with BD than in controls (23.6% vs 14.6% and 12.5% vs 4.3%, respectively), but could not differentiate OM risk. The HLA alleles of BD patients that differentiated those with and without OM were HLA-B*15 (40.5% vs 20.7%; odds ratio [OR], 2.59; p = 0.0059), HLA-C*02 (33.3% vs 13.4%; OR, 3.20; p = 0.0024), and HLA-DQB1*03 (64.3% vs 45.7%, p = 0.017), whereas HLA-A*03 (0.0% vs 13.3%, p = 0.006) and HLA-DRB1*15 (4.8% vs 19.5%; OR, 0.21; p = 0.0121) were protective against OM. CONCLUSIONS In this study of a Brazilian multiethnic BD population, alleles were similar between groups of BD patients with and without OM. We described HLA-B*15, -C*02, and -DQB1*03 as risk factors and -A*03 and -DRB1*15 as protective factors for OM in BD, which could function as biomarkers for predicting disease phenotypes.
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Affiliation(s)
- Francisco Assis de Andrade
- From the Ophthalmologist, PGCM, Faculdade de Ciências Médica, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Luís Cristóvão Porto
- TIXUS-Technologic Core for Tissue Repair and Histocompatibility, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Manuella Lima Gomes Ochtrop
- Discipline of Rheumatology, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ana Beatriz Santos Bacchiega
- Discipline of Rheumatology, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ricardo de Almeida Neves
- Discipline of Ophthalmology, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Leonardo Morette
- TIXUS-Technologic Core for Tissue Repair and Histocompatibility, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Gilson Santos
- TIXUS-Technologic Core for Tissue Repair and Histocompatibility, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Alexandre Wagner Silva de Souza
- Discipline of Rheumatology, Hospital São Paulo-Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Kimble Matos
- Department of Ophthalmology, Instituto da Visão, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Roger Abramino Levy
- Discipline of Rheumatology, Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
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Khan T, Ledoux IM, Aziz F, Al Ali F, Chin-Smith E, Ata M, Karim MY, Marr N. Associations between HLA class II alleles and IgE sensitization to allergens in the Qatar Biobank cohort. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. GLOBAL 2023; 2:100117. [PMID: 37779520 PMCID: PMC10509938 DOI: 10.1016/j.jacig.2023.100117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 01/16/2023] [Accepted: 02/05/2023] [Indexed: 10/03/2023]
Abstract
Background Allergic disorders are the consequence of IgE sensitization to allergens. Population studies have shown that certain human leukocyte antigen (HLA) alleles are associated with increased or decreased risk of developing allergy. Objective We aimed to characterize the relationship between HLA class II allelic diversity and IgE sensitization in an understudied Arab population. Methods We explored associations between IgE sensitization to 7 allergen mixes and mesquite (comprising 41 food or aeroallergens) and 45 common classical HLA class II alleles in a well-defined cohort of 797 individuals representing the general adult population of Qatari nationals and long-term residents. To do so, we performed HLA calling from whole genome sequencing data at 2-field resolution using 2 independent algorithms. We then applied 3 different regression models to assess either each allergen mix independently, in the context of IgE sensitization to other allergens tested, or polysensitization. Results More than half (n = 447) of the study participants showed IgE sensitization to at least 1 allergen, most of them (n = 400) to aeroallergens (Phadiatop). We identified statistically significant negative and positive associations with 24 HLA class II alleles. These have been reported to confer risk or protection from variety of diseases; however, only a few have previously been associated with allergy in other populations. Conclusions Our study reveals several new risk and protective genetic markers for allergen-specific IgE sensitization. This is a first and essential step toward a better understanding of the origins of allergic diseases in this understudied population.
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Affiliation(s)
- Taushif Khan
- Department of Human Immunology, Sidra Medicine, Doha, Qatar
- Department of Computational Science, The Jackson Laboratory, Farmington, Conn
| | | | - Ferdousey Aziz
- the Department of Pathology, Sidra Medicine, Doha, Qatar
| | - Fatima Al Ali
- Department of Human Immunology, Sidra Medicine, Doha, Qatar
| | | | - Manar Ata
- Department of Human Immunology, Sidra Medicine, Doha, Qatar
| | - Mohammed Yousuf Karim
- the Department of Pathology, Sidra Medicine, Doha, Qatar
- the College of Medicine, Qatar University, Doha, Qatar
| | - Nico Marr
- Department of Human Immunology, Sidra Medicine, Doha, Qatar
- the College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Institute of Translational Immunology, Brandenburg Medical School, Brandenburg an der Havel, Germany
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