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Zhang H, Zhang Z, Fan K, Chen H, Guo Y, Mo X. Decoding the genetic landscape of juvenile dermatomyositis: insights from phosphorylation-associated single nucleotide polymorphisms. Immunogenetics 2024:10.1007/s00251-024-01350-y. [PMID: 39085621 DOI: 10.1007/s00251-024-01350-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/24/2024] [Indexed: 08/02/2024]
Abstract
Genome-wide association studies (GWASs) have identified genetic susceptibility loci associated with juvenile dermatomyositis (JDM). Single nucleotide polymorphisms related to phosphorylation (phosSNPs) are critical nonsynonymous mutations exerting substantial influence on gene expression regulation. The aim of this study was to identify JDM susceptibility genes in the GWAS loci by the use of phosSNPs. We explored quantitative trait loci (QTLs) among the phosSNPs associated with JDM using data from eQTL (bulk tissues and single-cell) and pQTL studies. For gene expression and protein levels significantly influenced by JDM-associated phosSNPs, we assessed their associations with JDM through MR analyses. Additionally, we conducted differential expression gene analyses, incorporating single-cell transcriptomic profiling of 6 JDM cases and 11 juvenile controls (99,396 cells). We identified 31 phosSNPs situated in the 6p21 locus that were associated with JDM. Half of these phosSNPs showed effects on gene expression in various cells and circulating protein levels. In MR analyses, we established associations between the expression levels of pivotal JDM-associated genes, including MICB, C4A, HLA-DRB1, HLA-DRB5, and PSMB9, in skin, muscle, or blood cells and circulating levels of C4A, with JDM. Utilizing single-cell eQTL data, we identified a total of 276 association signals across 14 distinct immune cell types for 28 phosSNPs. Further insights were gained through single-cell differential expression analysis, revealing differential expression of PSMB9, HLA-A, HLA-B, HLA-C, HLA-DPB1, HLA-DQA1, HLA-DQB1, and HLA-DRB1 in immune cells. The present study pinpointed phosSNPs within susceptibility genes for JDM and unraveled the intricate relationships among these SNPs, gene expression levels, and JDM.
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Affiliation(s)
- Huan Zhang
- Department of Epidemiology, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Zhentao Zhang
- Department of Epidemiology, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Center for Genetic Epidemiology and Genomics, MOE Key Laboratory of Geriatric Diseases and Immunology, School of Public Health, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou, Jiangsu, 215123, People's Republic of China
| | - Kedi Fan
- Department of Epidemiology, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Center for Genetic Epidemiology and Genomics, MOE Key Laboratory of Geriatric Diseases and Immunology, School of Public Health, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou, Jiangsu, 215123, People's Republic of China
| | - Hongru Chen
- Department of Rheumatology, the First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu, 215000, People's Republic of China
| | - Yufan Guo
- Department of Rheumatology, the First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu, 215000, People's Republic of China.
| | - Xingbo Mo
- Department of Epidemiology, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
- Center for Genetic Epidemiology and Genomics, MOE Key Laboratory of Geriatric Diseases and Immunology, School of Public Health, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou, Jiangsu, 215123, People's Republic of China.
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Gumkowska-Sroka O, Kotyla K, Kotyla P. Immunogenetics of Systemic Sclerosis. Genes (Basel) 2024; 15:586. [PMID: 38790215 PMCID: PMC11121022 DOI: 10.3390/genes15050586] [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: 04/07/2024] [Revised: 04/27/2024] [Accepted: 04/29/2024] [Indexed: 05/26/2024] Open
Abstract
Systemic sclerosis (SSc) is a rare autoimmune connective tissue disorder characterized by massive fibrosis, vascular damage, and immune imbalance. Advances in rheumatology and immunology over the past two decades have led to a redefinition of systemic sclerosis, shifting from its initial perception as primarily a "hyperfibrotic" state towards a recognition of systemic sclerosis as an immune-mediated disease. Consequently, the search for genetic markers has transitioned from focusing on fibrotic mechanisms to exploring immune regulatory pathways. Immunogenetics, an emerging field at the intersection of immunology, molecular biology, and genetics has provided valuable insights into inherited factors that influence immunity. Data from genetic studies conducted thus far indicate that alterations in genetic messages can significantly impact disease risk and progression. While certain genetic variations may confer protective effects, others may exacerbate disease susceptibility. This paper presents a comprehensive review of the most relevant genetic changes that influence both the risk and course of systemic sclerosis. Special emphasis is placed on factors regulating the immune response, recognizing their pivotal role in the pathogenesis of the disease.
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Affiliation(s)
| | | | - Przemysław Kotyla
- Department of Rheumatology and Clinical Immunology, Medical University of Silesia, Voivodeship Hospital No. 5, 41-200 Sosnowiec, Poland; (O.G.-S.); (K.K.)
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3
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Padoan B, Casar C, Krause J, Schultheiss C, Baumdick ME, Niehrs A, Zecher BF, Pujantell M, Yuki Y, Martin M, Remmerswaal EBM, Dekker T, van der Bom-Baylon ND, Noble JA, Carrington M, Bemelman FJ, van Lier RAW, Binder M, Gagliani N, Bunders MJ, Altfeld M. NKp44/HLA-DP-dependent regulation of CD8 effector T cells by NK cells. Cell Rep 2024; 43:114089. [PMID: 38615318 DOI: 10.1016/j.celrep.2024.114089] [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: 10/30/2023] [Revised: 03/03/2024] [Accepted: 03/26/2024] [Indexed: 04/16/2024] Open
Abstract
Although natural killer (NK) cells are recognized for their modulation of immune responses, the mechanisms by which human NK cells mediate immune regulation are unclear. Here, we report that expression of human leukocyte antigen (HLA)-DP, a ligand for the activating NK cell receptor NKp44, is significantly upregulated on CD8+ effector T cells, in particular in human cytomegalovirus (HCMV)+ individuals. HLA-DP+ CD8+ T cells expressing NKp44-binding HLA-DP antigens activate NKp44+ NK cells, while HLA-DP+ CD8+ T cells not expressing NKp44-binding HLA-DP antigens do not. In line with this, frequencies of HLA-DP+ CD8+ T cells are increased in individuals not encoding for NKp44-binding HLA-DP haplotypes, and contain hyper-expanded CD8+ T cell clones, compared to individuals expressing NKp44-binding HLA-DP molecules. These findings identify a molecular interaction facilitating the HLA-DP haplotype-specific editing of HLA-DP+ CD8+ T cell effector populations by NKp44+ NK cells and preventing the generation of hyper-expanded T cell clones, which have been suggested to have increased potential for autoimmunity.
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Affiliation(s)
- Benedetta Padoan
- Research Department Virus Immunology, Leibniz Institute of Virology, 20251 Hamburg, Germany
| | - Christian Casar
- Bioinformatics Core, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Jenny Krause
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Center for Immunology, University of Minnesota, Minneapolis, MN, USA
| | - Christoph Schultheiss
- Division of Medical Oncology, University Hospital Basel, 4031 Basel, Switzerland; Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University and University Hospital Basel, 4031 Basel, Switzerland
| | - Martin E Baumdick
- Research Department Virus Immunology, Leibniz Institute of Virology, 20251 Hamburg, Germany; III. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Annika Niehrs
- Research Department Virus Immunology, Leibniz Institute of Virology, 20251 Hamburg, Germany
| | - Britta F Zecher
- Research Department Virus Immunology, Leibniz Institute of Virology, 20251 Hamburg, Germany; I. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Maria Pujantell
- Research Department Virus Immunology, Leibniz Institute of Virology, 20251 Hamburg, Germany
| | - Yuko Yuki
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA; Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Maureen Martin
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA; Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ester B M Remmerswaal
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Tamara Dekker
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Nelly D van der Bom-Baylon
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Janelle A Noble
- Department of Pediatrics UCSF, Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA; Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA
| | - Frederike J Bemelman
- Renal Transplant Unit, Division of Internal Medicine, Academic Medical Centre, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Mascha Binder
- Division of Medical Oncology, University Hospital Basel, 4031 Basel, Switzerland; Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University and University Hospital Basel, 4031 Basel, Switzerland
| | - Nicola Gagliani
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany
| | - Madeleine J Bunders
- Research Department Virus Immunology, Leibniz Institute of Virology, 20251 Hamburg, Germany; III. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany
| | - Marcus Altfeld
- Research Department Virus Immunology, Leibniz Institute of Virology, 20251 Hamburg, Germany; Hamburg Center for Translational Immunology (HCTI), Hamburg, Germany.
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Goldmann K, Spiliopoulou A, Iakovliev A, Plant D, Nair N, Cubuk C, McKeigue P, Barnes MR, Barton A, Pitzalis C, Lewis MJ. Expression quantitative trait loci analysis in rheumatoid arthritis identifies tissue specific variants associated with severity and outcome. Ann Rheum Dis 2024; 83:288-299. [PMID: 37979960 PMCID: PMC10894812 DOI: 10.1136/ard-2023-224540] [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: 06/05/2023] [Accepted: 10/20/2023] [Indexed: 11/20/2023]
Abstract
OBJECTIVE Genome-wide association studies have successfully identified more than 100 loci associated with susceptibility to rheumatoid arthritis (RA). However, our understanding of the functional effects of genetic variants in causing RA and their effects on disease severity and response to treatment remains limited. METHODS In this study, we conducted expression quantitative trait locus (eQTL) analysis to dissect the link between genetic variants and gene expression comparing the disease tissue against blood using RNA-Sequencing of synovial biopsies (n=85) and blood samples (n=51) from treatment-naïve patients with RA from the Pathobiology of Early Arthritis Cohort. RESULTS This identified 898 eQTL genes in synovium and genes loci in blood, with 232 genes in common to both synovium and blood, although notably many eQTL were tissue specific. Examining the HLA region, we uncovered a specific eQTL at HLA-DPB2 with the critical triad of single-nucleotide polymorphisms (SNPs) rs3128921 driving synovial HLA-DPB2 expression, and both rs3128921 and HLA-DPB2 gene expression correlating with clinical severity and increasing probability of the lympho-myeloid pathotype. CONCLUSIONS This analysis highlights the need to explore functional consequences of genetic associations in disease tissue. HLA-DPB2 SNP rs3128921 could potentially be used to stratify patients to more aggressive treatment immediately at diagnosis.
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Affiliation(s)
- Katriona Goldmann
- Centre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Athina Spiliopoulou
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Andrii Iakovliev
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Darren Plant
- Centre for Genetics and Genomics Versus Arthritis, University of Manchester Centre for Musculoskeletal Research, Manchester, UK
| | - Nisha Nair
- Centre for Genetics and Genomics Versus Arthritis, University of Manchester Centre for Musculoskeletal Research, Manchester, UK
| | - Cankut Cubuk
- Centre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Paul McKeigue
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Michael R Barnes
- Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Anne Barton
- Centre for Genetics and Genomics Versus Arthritis, University of Manchester Centre for Musculoskeletal Research, Manchester, UK
| | - Costantino Pitzalis
- Centre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Myles J Lewis
- Centre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
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5
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Ishikawa Y, Tanaka N, Asano Y, Kodera M, Shirai Y, Akahoshi M, Hasegawa M, Matsushita T, Saito K, Motegi SI, Yoshifuji H, Yoshizaki A, Kohmoto T, Takagi K, Oka A, Kanda M, Tanaka Y, Ito Y, Nakano K, Kasamatsu H, Utsunomiya A, Sekiguchi A, Niiro H, Jinnin M, Makino K, Makino T, Ihn H, Yamamoto M, Suzuki C, Takahashi H, Nishida E, Morita A, Yamamoto T, Fujimoto M, Kondo Y, Goto D, Sumida T, Ayuzawa N, Yanagida H, Horita T, Atsumi T, Endo H, Shima Y, Kumanogoh A, Hirata J, Otomo N, Suetsugu H, Koike Y, Tomizuka K, Yoshino S, Liu X, Ito S, Hikino K, Suzuki A, Momozawa Y, Ikegawa S, Tanaka Y, Ishikawa O, Takehara K, Torii T, Sato S, Okada Y, Mimori T, Matsuda F, Matsuda K, Amariuta T, Imoto I, Matsuo K, Kuwana M, Kawaguchi Y, Ohmura K, Terao C. GWAS for systemic sclerosis identifies six novel susceptibility loci including one in the Fcγ receptor region. Nat Commun 2024; 15:319. [PMID: 38296975 PMCID: PMC10830486 DOI: 10.1038/s41467-023-44541-z] [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: 03/20/2023] [Accepted: 12/18/2023] [Indexed: 02/02/2024] Open
Abstract
Here we report the largest Asian genome-wide association study (GWAS) for systemic sclerosis performed to date, based on data from Japanese subjects and comprising of 1428 cases and 112,599 controls. The lead SNP is in the FCGR/FCRL region, which shows a penetrating association in the Asian population, while a complete linkage disequilibrium SNP, rs10917688, is found in a cis-regulatory element for IRF8. IRF8 is also a significant locus in European GWAS for systemic sclerosis, but rs10917688 only shows an association in the presence of the risk allele of IRF8 in the Japanese population. Further analysis shows that rs10917688 is marked with H3K4me1 in primary B cells. A meta-analysis with a European GWAS detects 30 additional significant loci. Polygenic risk scores constructed with the effect sizes of the meta-analysis suggest the potential portability of genetic associations beyond populations. Prioritizing the top 5% of SNPs of IRF8 binding sites in B cells improves the fitting of the polygenic risk scores, underscoring the roles of B cells and IRF8 in the development of systemic sclerosis. The results also suggest that systemic sclerosis shares a common genetic architecture across populations.
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Affiliation(s)
- Yuki Ishikawa
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan
| | - Nao Tanaka
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan
- Department of Rheumatology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yoshihide Asano
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Dermatology, The University of Tokyo, Tokyo, Japan
| | - Masanari Kodera
- Department of Dermatology, Chukyo Hospital, Japan Community Health Care Organization, Nagoya, Japan
| | - Yuichiro Shirai
- Department of Allergy and Rheumatology, Nippon Medical School Graduate School of Medicine, Tokyo, Japan
| | - Mitsuteru Akahoshi
- Department of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
- Department of Rheumatology, Saga University Hospital, Saga, Japan
| | - Minoru Hasegawa
- Faculty of Medical Sciences, Department of Dermatology, University of Fukui, Fukui, Japan
| | - Takashi Matsushita
- Department of Dermatology, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Kazuyoshi Saito
- The First Department of Internal Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
| | - Sei-Ichiro Motegi
- Department of Dermatology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hajime Yoshifuji
- Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ayumi Yoshizaki
- Department of Dermatology, The University of Tokyo, Tokyo, Japan
| | - Tomohiro Kohmoto
- Aichi Cancer Center Research Institute, Division of Molecular Genetics, Nagoya, Japan
| | - Kae Takagi
- Tokyo Women's Medical University, Adachi Medical Center, Tokyo, Japan
| | - Akira Oka
- Department of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Miho Kanda
- Department of Dermatology, Chukyo Hospital, Japan Community Health Care Organization, Nagoya, Japan
| | - Yoshihito Tanaka
- Department of Dermatology, Chukyo Hospital, Japan Community Health Care Organization, Nagoya, Japan
| | - Yumi Ito
- Department of Dermatology, Chukyo Hospital, Japan Community Health Care Organization, Nagoya, Japan
| | - Kazuhisa Nakano
- The First Department of Internal Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
| | - Hiroshi Kasamatsu
- Faculty of Medical Sciences, Department of Dermatology, University of Fukui, Fukui, Japan
| | - Akira Utsunomiya
- Faculty of Medical Sciences, Department of Dermatology, University of Fukui, Fukui, Japan
| | - Akiko Sekiguchi
- Department of Dermatology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hiroaki Niiro
- Department of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Masatoshi Jinnin
- Department of Dermatology, Wakayama Medical University Graduate School of Medicine, Wakayama, Japan
| | - Katsunari Makino
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Takamitsu Makino
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Hironobu Ihn
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Motohisa Yamamoto
- Department of Rheumatology and Allergy, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Chisako Suzuki
- Department of Rheumatology and Clinical Immunology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Hiroki Takahashi
- Department of Rheumatology and Clinical Immunology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Emi Nishida
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
- Department of Dermatology, Okazaki City Hospital, Okazaki, Japan
| | - Akimichi Morita
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Toshiyuki Yamamoto
- Department of Dermatology, Fukushima Medical University, School of Medicine, Fukushima, Japan
| | - Manabu Fujimoto
- Department of Dermatology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yuya Kondo
- Department of Rheumatology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Daisuke Goto
- Department of Rheumatology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Takayuki Sumida
- Department of Rheumatology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Naho Ayuzawa
- Department of Clinical Immunology, National Hospital Organization, Utano National Hospital, Kyoto, Japan
| | - Hidetoshi Yanagida
- Department of Clinical Immunology, National Hospital Organization, Utano National Hospital, Kyoto, Japan
| | - Tetsuya Horita
- Faculty of Medicine and Graduate School of Medicine, Department of Rheumatology, Endocrinology and Nephrology, Hokkaido University, Sapporo, Japan
| | - Tatsuya Atsumi
- Faculty of Medicine and Graduate School of Medicine, Department of Rheumatology, Endocrinology and Nephrology, Hokkaido University, Sapporo, Japan
| | - Hirahito Endo
- Omori Medical Center, Toho University, Rheumatic Disease Center, Tokyo, Japan
| | - Yoshihito Shima
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Jun Hirata
- Immunology Frontier Center, Osaka University, Statistical Immunology, Osaka, Japan
| | - Nao Otomo
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan
| | - Hiroyuki Suetsugu
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan
| | - Yoshinao Koike
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan
| | - Kohei Tomizuka
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan
| | - Soichiro Yoshino
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan
| | - Xiaoxi Liu
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan
| | - Shuji Ito
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan
| | - Keiko Hikino
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Pharmacogenomics, Yokohama, Japan
| | - Akari Suzuki
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Autoimmune Diseases, Yokohama, Japan
| | - Yukihide Momozawa
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Genotyping Development, Yokohama, Japan
| | - Shiro Ikegawa
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Bone and Joint Diseases, Yokohama, Japan
| | - Yoshiya Tanaka
- The First Department of Internal Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
| | - Osamu Ishikawa
- Department of Dermatology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Kazuhiko Takehara
- Department of Dermatology, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | | | - Shinichi Sato
- Department of Dermatology, The University of Tokyo, Tokyo, Japan
| | - Yukinori Okada
- Immunology Frontier Center, Osaka University, Statistical Immunology, Osaka, Japan
| | - Tsuneyo Mimori
- Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Ijinkai Takeada General Hospital, Kyoto, Japan
| | - Fumihiko Matsuda
- Graduate School of Medicine, Kyoto University, Center for Genomic Medicine, Kyoto, Japan
| | - Koichi Matsuda
- Institute of Medical Science, The University of Tokyo, Laboratory of Genome Technology, Human Genome Center, Tokyo, Japan
- Department of Computational Biology and Medical Sciences, Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Tiffany Amariuta
- Center for Data Sciences, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Graduate School of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Issei Imoto
- Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Keitaro Matsuo
- Aichi Cancer Center Research Institute, Division of Cancer Epidemiology and Prevention, Nagoya, Japan
| | - Masataka Kuwana
- Department of Allergy and Rheumatology, Nippon Medical School Graduate School of Medicine, Tokyo, Japan
| | - Yasushi Kawaguchi
- Tokyo Women's Medical University, Division of Rheumatology, Department of Internal Medicine, Tokyo, Japan
| | - Koichiro Ohmura
- Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Chikashi Terao
- RIKEN Center for Integrative Medical Sciences, The Laboratory for Statistical and Translational Genetics, Yokohama, Japan.
- Shizuoka General Hospital, The Clinical Research Center, Shizuoka, Japan.
- The Department of Applied Genetics, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan.
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6
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Machhua S, Sharma SK, Kumar Y, Singh S, Aggarwal R, Anand S, Kumar M, Singh H, Minz RW. Human leukocyte antigen association in systemic sclerosis patients: our experience at a tertiary care center in North India. Front Immunol 2023; 14:1179514. [PMID: 37781395 PMCID: PMC10533912 DOI: 10.3389/fimmu.2023.1179514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 06/26/2023] [Indexed: 10/03/2023] Open
Abstract
Introduction Systemic sclerosis (SSc) is a chronic multisystem autoimmune rheumatic disease of unknown etiology. Several studies have established that SSc is triggered by a dynamic interplay between genetic factors and environmental stimuli. In the present study, we aimed to study the association of human leukocyte antigen (HLA) with familial and non-familial SSc patients [limited cutaneous SSc (lcSSc) and diffuse cutaneous SSc (dcSSc)] from North India. Methods The HLA-A, B, DRB1, and DQB1 genotyping of 150 (70 lcSSc and 80 dcSSc) adult-onset SSc patients and 150 age-gender-matched healthy controls were performed with sequence-specific oligonucleotide (SSO) typing kits using the luminex platform. HLA typing for HLA class I (A, B, and C) and II (DRB1, DQB1, and DPB1) in five North Indian families consisting of parent-child/sibling pairs affected with SSc or overlap syndrome was performed by Next Generation Sequencing (NGS) with Illumina MiniSeq. Rseults Among the non-familial SSc patients, HLA- DRB1*11 (P = 0.001, OR: 2.38, P c = 0.01) was identified as a risk allele, and DRB1*12 (P = .0001, OR: 0.00, P c = 0.001) as a protective allele. There was no statistical association found with HLA-DQB1*. Also, no significant association was observed between HLA antigens and different clinical subsets (lcSSc and dcSSc) of SSc. Two cases of familial SSc patients had the DRB1*11 allele. The DRB1*12 allele was absent in all the familial SSc patients. Discussion HLA DRB1*11 (risk allele) and DRB1*12 (protective allele) were found to be strongly associated with non-familial SSc patients and partially explain the disease's familial clustering, supporting the susceptible genetic background theory for SSc development. The study also indicates the HLA allele as a common genetic risk factor in distinct autoimmune diseases contributing to overlap syndrome or polyautoimmunity.
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Affiliation(s)
- Sanghamitra Machhua
- Department of Immunopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Shefali Khanna Sharma
- Department of Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Yashwant Kumar
- Department of Immunopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Surjit Singh
- Allergy Immunology Unit, Department of Pediatrics, Advanced Pediatrics Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Ritu Aggarwal
- Department of Immunopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Shashi Anand
- Department of Immunopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Manoj Kumar
- Department of Immunopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Heera Singh
- Department of Immunopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Ranjana Walker Minz
- Department of Immunopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
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7
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Harsini S, Rezaei N. Autoimmune diseases. Clin Immunol 2023. [DOI: 10.1016/b978-0-12-818006-8.00001-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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8
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Louthrenoo W, Kasitanon N, Wongthanee A, Okudaira Y, Takeuchi M, Nakajima F, Habata M, Masuya A, Noguchi H, Inoko H, Takeuchi F. Association of HLA-DRB1*15:02:01, DQB1*05:01:24 and DPB1*13:01:01 in Thai patients with systemic sclerosis. HLA 2022; 100:563-581. [PMID: 36054790 DOI: 10.1111/tan.14793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 08/07/2022] [Accepted: 08/26/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION HLA studies in patients with systemic sclerosis (SSc) have shown variable results. This study aimed to examine the association of HLA class I and II risk alleles in Thai SSc patients, and clarify the contribution of risk HLA alleles to the pathogenesis and clinical manifestations. METHODS Blood samples from 92 SSc patients and 135 healthy controls (HCs) were collected. Eleven loci of the HLA class I (HLA-A, B, and C) and class II (HLA-DR, DP, and DQ) genes were determined by a 3-field (6-digit) analysis using the Next Generation DNA Sequencing (NGS) method. Anti-topoisomerase-I antibodies (ATA) and anti-centromere antibodies (ACA) were identified by ELISA methods. RESULTS Allele frequencies (AFs) of HLA-DRB1*15:02:01, DRB5*01:02:01, DQB1*05:01:24, DPB1*13:01:01, and DQA1*01:01:01 were increased significantly in the whole SSc and SSc patients with positive ATA, but with negative ACA (SSc/ATA+/ACA-). Of these, DPB1*13:01:01 was the most susceptible allele. The DRB1*15:02:01, DQB1:05:01:24, and DPB1*13:01:01 alleles were estimated to locate on the unique haplotype, and haplotype frequency was estimated to be significantly higher than those in the HCs (p=0.002). The linkage analysis of DRB1*15/16 revealed that most of the DRB1*15:02:01 alleles were linked to DRB5*01:02:01 or DRB5*01:08:01N. The linkage of DRB1*16:02:01 to DRB5*01:01:01 was observed frequently. The associations of risk alleles with several SSc clinical features were observed. CONCLUSION HLA-DRB1*15:02:01, DRB5*01:02:01, DQB1*05:01:24, and DPB1*13:01:01 on the unique haplotype were associated with the pathogenesis and clinical features of SSc in Thai patients. The linkage of DRB1*15:02:01 to DRB5*01:08:01N was observed commonly in northern Thai patients. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Worawit Louthrenoo
- Division of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nuntana Kasitanon
- Division of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Antika Wongthanee
- Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Yuko Okudaira
- GenoDive Pharma Inc., Naka-cho Honatugi, Kanagawa, Japan
| | - Masumi Takeuchi
- Graduate School of Human Development and Environment, Kobe University, Kobe, Japan
| | | | - Miwa Habata
- GenoDive Pharma Inc., Naka-cho Honatugi, Kanagawa, Japan
| | - Anri Masuya
- GenoDive Pharma Inc., Naka-cho Honatugi, Kanagawa, Japan
| | - Hiroshi Noguchi
- School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
| | | | - Fujio Takeuchi
- School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
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Ng SA, Low AHL. Systemic sclerosis in Asians: Are there racial differences? JOURNAL OF SCLERODERMA AND RELATED DISORDERS 2022; 7:98-109. [PMID: 35585950 PMCID: PMC9109507 DOI: 10.1177/23971983221074749] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 12/28/2021] [Indexed: 10/08/2023]
Abstract
Systemic sclerosis is a multisystemic autoimmune disease characterized by vasculopathy and fibrosis. Racial factors exert a significant influence on the epidemiology, clinical manifestations, antibody profile, mortality and genetic factors in systemic sclerosis. In this review, we examined Asian systemic sclerosis cohorts reported in Asia and multi-racial cohort studies to evaluate the disease characteristics and outcomes of systemic sclerosis in Asians. Asian patients have distinct genetic susceptibility to systemic sclerosis, younger age of systemic sclerosis onset, higher frequency of diffuse skin involvement, different autoantibody profiles such as higher frequency of anti-Scl70 and anti-U1-RNP antibodies, and more severe clinical phenotype. There was a suggestion of poorer survival among Asians that may be contributed by more severe disease, socioeconomic factors and differences in healthcare systems. Recognizing the influence of racial differences in systemic sclerosis disease course is important as it has implications for appropriate treatment, monitoring and prognostication.
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Affiliation(s)
- Sue-Ann Ng
- Department of Rheumatology and
Immunology, Singapore General Hospital, Singapore
- Duke-National University of Singapore,
Singapore
| | - Andrea Hsiu Ling Low
- Department of Rheumatology and
Immunology, Singapore General Hospital, Singapore
- Duke-National University of Singapore,
Singapore
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10
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The Immunogenetics of Systemic Sclerosis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1367:259-298. [DOI: 10.1007/978-3-030-92616-8_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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11
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Simon D, Balogh P, Erdő-Bonyár S, Böröcz K, Minier T, Czirják L, Berki T. Increased Frequency of Activated Switched Memory B Cells and Its Association With the Presence of Pulmonary Fibrosis in Diffuse Cutaneous Systemic Sclerosis Patients. Front Immunol 2021; 12:686483. [PMID: 34276673 PMCID: PMC8278062 DOI: 10.3389/fimmu.2021.686483] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 06/11/2021] [Indexed: 11/22/2022] Open
Abstract
Disease-associated, high-affinity pathological autoantibody production is a well-described consequence of immune dysregulation affecting B cells in systemic sclerosis (SSc), including the distribution of B-cell subsets. We have previously shown that the increased relative frequency of CD19+CD27+IgD- switched memory B cells is associated with the severe form of SSc. This study sought to analyze memory B cell subsets using an extended range of markers for further subdivision based on CD19, IgD, CD27, CD38 and CD95 phenotype, to define relationship between the alterations of memory B cell subsets and the clinical features of SSc. Peripheral blood samples were obtained from 21 SSc patients, including 14 diffuse (dcSSc) and 7 limited (lcSSc) cutaneous SSc patients, with disease duration of 2.7 ( ± 1.6) years. After purification of CD19+ B cells, multiparametric flow cytometry was performed and the frequencies of CD19+IgD-CD27-CD38+ double negative (DN) 1, CD19+IgDloCD27+CD38+ unswitched, CD19+IgD-CD27+CD38+CD95- resting switched and CD19+IgD-CD27+CD38-CD95+ activated switched memory (ASM) B cells were determined, and correlated with clinical features of SSc. The dcSSc patients had a higher frequency of ASM B cells (p = 0.028) compared to lcSSc patients. The percentage of ASM B cells was elevated in anti-Scl-70 (anti-topoisomerase I) antibody positive patients compared to negative patients (p = 0.016). Additionally, the frequency of ASM B cells was also increased in patients with pulmonary fibrosis (p = 0.003) suggesting that patients with severe form of SSc have higher ASM B cell ratios. Furthermore, the ratio of DN1 B cells was decreased (p = 0.029), while the level of anti-citrate synthase IgG natural autoantibody was elevated (p = 0.028) in patients with active disease. Our observations on the increase of ASM B cells in dcSSc and in patients with pulmonary fibrosis may point to the association of this alteration with the severe form of the disease. Functionally the correlation of ASM B cells as effector memory-plasma cell precursors with anti-topoisomerase I antibody positivity could reflect their contribution to pathological autoantibody production, whereas the decrease of memory precursor DN B cells and the increase of anti-citrate synthase IgG autoantibody may have potential significance in the assessment of disease activity.
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Affiliation(s)
- Diána Simon
- Department of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary
| | - Péter Balogh
- Department of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary
| | - Szabina Erdő-Bonyár
- Department of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary
| | - Katalin Böröcz
- Department of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary
| | - Tünde Minier
- Department of Rheumatology and Immunology, Clinical Center, University of Pécs Medical School, Pécs, Hungary
| | - László Czirják
- Department of Rheumatology and Immunology, Clinical Center, University of Pécs Medical School, Pécs, Hungary
| | - Tímea Berki
- Department of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary
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12
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Ota Y, Kuwana M. Updates on genetics in systemic sclerosis. Inflamm Regen 2021; 41:17. [PMID: 34130729 PMCID: PMC8204536 DOI: 10.1186/s41232-021-00167-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/24/2021] [Indexed: 12/15/2022] Open
Abstract
Systemic sclerosis (SSc) is a complex disease, in which an interaction of genetic and environmental factors plays an important role in its development and pathogenesis. A number of genetic studies, including candidate gene analysis and genome-wide association study, have found that the associated genetic variants are mainly localized in noncoding regions in the expression quantitative trait locus and influence corresponding gene expression. The gene variants identified as a risk for SSc susceptibility include those associated with innate immunity, adaptive immune response, and cell death, while there are only few SSc-associated genes involved in the fibrotic process or vascular homeostasis. Human leukocyte antigen class II genes are associated with SSc-related autoantibodies rather than SSc itself. Since the pathways between the associated genotype and phenotype are still poorly understood, further investigations using multi-omics technologies are necessary to characterize the complex molecular architecture of SSc, identify biomarkers useful to predict future outcomes and treatment responses, and discover effective drug targets.
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Affiliation(s)
- Yuko Ota
- Department of Allergy and Rheumatology, Nippon Medical School Graduate School of Medicine, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603-8582, Japan
| | - Masataka Kuwana
- Department of Allergy and Rheumatology, Nippon Medical School Graduate School of Medicine, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603-8582, Japan.
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13
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Abstract
PURPOSE OF REVIEW To review susceptibility genes and how they could integrate in systemic sclerosis (SSc) pathophysiology providing insight and perspectives for innovative therapies. RECENT FINDINGS SSc is a rare disease characterized by vasculopathy, dysregulated immunity and fibrosis. Genome-Wide association studies and ImmunoChip studies performed in recent years revealed associated genetic variants mainly localized in noncoding regions and mostly affecting the immune system of SSc patients. Gene variants were described in innate immunity (IRF5, IRF7 and TLR2), T and B cells activation (CD247, TNFAIP3, STAT4 and BLK) and NF-κB pathway (TNFAIP3 and TNIP1) confirming previous biological data. In addition to impacting immune response, CSK, DDX6, DNASE1L3 and GSDMA/B could also act in the vascular and fibrotic components of SSc. SUMMARY Although genetic studies highlighted the dysregulated immune response in SSc, future research must focus on a deeper characterization of these variants with determination of their functional effects. Moreover, the role of these genes or others on specific vasculopathy and fibrosis would provide insight. Establishment of polygenic score or integrated genome approaches could identify new targets specific of SSc clinical features. This will allow physicians to propose new therapies to SSc patients.
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Poppenberg KE, Tutino VM, Tarbell E, Jarvis JN. Broadening our understanding of genetic risk for scleroderma/systemic sclerosis by querying the chromatin architecture surrounding the risk haplotypes. BMC Med Genomics 2021; 14:114. [PMID: 33894768 PMCID: PMC8066847 DOI: 10.1186/s12920-021-00964-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 04/14/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Genetic variants in the human leukocyte antigen (HLA) locus contribute to the risk for developing scleroderma/systemic sclerosis (SSc). However, there are other replicated loci that also contribute to genetic risk for SSc, and it is unknown whether genetic risk in these non-HLA loci acts primarily on the vasculature, immune system, fibroblasts, or other relevant cell types. We used the Cistrome database to investigate the epigenetic landscapes surrounding 11 replicated SSc associated loci to determine whether SNPs in these loci may affect regulatory elements and whether they are likely to impact a specific cell type. METHODS We mapped 11 replicated SNPs to haplotypes and sought to determine whether there was significant enrichment for H3K27ac and H3K4me1 marks, epigenetic signatures of enhancer function, on these haplotypes. We queried pathologically relevant cell types: B cells, endothelial cells, fibroblasts, monocytes, and T cells. We then identified the topologically associated domains (TADs) that encompass the SSc risk haplotypes in primary T cells to identify the full range of genes that may be influenced by SSc causal SNPs. We used gene ontology analyses of the genes within the TADs to gain insight into immunologic functions that might be affected by SSc causal SNPs. RESULTS The SSc-associated haplotypes were enriched (p value < 0.01) for H3K4me1/H3K27ac marks in monocytes. Enrichment of one of the two histone marks was found in B cells, fibroblasts, and T cells. No enrichment was identified in endothelial cells. Ontological analyses of genes within the TADs encompassing the risk haplotypes showed enrichment for regulation of transcription, protein binding, activation of T lymphocytes, and proliferation of immune cells. CONCLUSIONS The 11 non-HLA SSc risk haplotypes queried are highly enriched for H3K4me1/H3K27ac-marked regulatory elements in a broad range of immune cells and fibroblasts. Furthermore, in immune cells, the risk haplotypes belong to larger chromatin structures encompassing genes that regulate a wide array of immune processes associated with SSc pathogenesis. Though importance of the vasculature in the pathobiology of SSc is widely accepted, we were unable to find evidence for genetic influences on endothelial cell function in these regions.
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Affiliation(s)
- Kerry E. Poppenberg
- Canon Stroke and Vascular Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY USA
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY USA
| | - Vincent M. Tutino
- Canon Stroke and Vascular Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY USA
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY USA
- Department of Pathology and Anatomical Sciences, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY USA
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY USA
| | - Evan Tarbell
- Quantitative Systems Pharmacology, Enhanced Pharmacodynamics, LLC, Buffalo, NY USA
| | - James N. Jarvis
- Quantitative Systems Pharmacology, Enhanced Pharmacodynamics, LLC, Buffalo, NY USA
- Genetics, Genomics, and Bioinformatics Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY USA
- Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY USA
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15
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Arayasongsak U, Naka I, Ohashi J, Patarapotikul J, Nuchnoi P, Kalambaheti T, Sa-Ngasang A, Chanama S, Chaorattanakawee S. Genetic association study of interferon lambda 3, CD27, and human leukocyte antigen-DPB1 with dengue severity in Thailand. BMC Infect Dis 2020; 20:948. [PMID: 33308178 PMCID: PMC7731073 DOI: 10.1186/s12879-020-05636-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 11/19/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Dengue patients develop different disease severity ranging from mild (dengue fever [DF]) to severe forms (dengue hemorrhagic fever [DHF] and the fatal dengue shock syndrome [DSS]). Host genetics are considered to be one factor responsible for the severity of dengue outcomes. To identify genes associated with dengue severity that have not been studied yet, we performed genetic association analyses of interferon lambda 3 (IFNL3), CD27, and human leukocyte antigen-DPB1 (HLA-DPB1) genes in Thai dengue patients. METHODS A case-control association study was performed in 877 children (age ≤ 15 years) with dengue infection (DF, n = 386; DHF, n = 416; DSS, n = 75). A candidate single nucleotide polymorphism of each of IFNL3, CD27, and HLA-DPB1 was selected to be analyzed. Genotyping was performed by TaqMan real-time PCR assay, and the association with dengue severity was examined. RESULTS The rs9277534 variant of HLA-DPB1 was weakly associated with DHF. The genotype GG and G allele conferred protection against DHF (p = 0.04, odds ratio 0.74 for GG genotype, p = 0.03, odds ratio 0.79 for G allele). The association became borderline significant after adjusting for confounders (p = 0.05, odds ratio 0.82). No association was detected for IFNL3 or CD27. CONCLUSIONS The present study demonstrated the weak association of the rs9277534 variant of HLA-DPB1 with protection against DHF. This variant is in the 3' untranslated region and affects HLA-DPB1 surface protein expression. Our finding suggests that HLA-DPB1 may be involved in DHF pathogenesis.
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Affiliation(s)
- Unchana Arayasongsak
- Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Ratchawithi Road, Bangkok, 10400, Thailand
| | - Izumi Naka
- Laboratory of Human Genome Diversity, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Jun Ohashi
- Laboratory of Human Genome Diversity, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Jintana Patarapotikul
- Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Ratchawithi Road, Bangkok, 10400, Thailand
| | - Pornlada Nuchnoi
- Department of Clinical Microscopy, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand
| | - Thareerat Kalambaheti
- Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Ratchawithi Road, Bangkok, 10400, Thailand
| | - Areerat Sa-Ngasang
- National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand
| | - Sumalee Chanama
- National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand
| | - Suwanna Chaorattanakawee
- Department of Parasitology and Entomology, Faculty of Public Health, Mahidol University, Ratchawithi Road, Bangkok, 10400, Thailand.
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Mehta BK, Espinoza ME, Hinchcliff M, Whitfield ML. Molecular "omic" signatures in systemic sclerosis. Eur J Rheumatol 2020; 7:S173-S180. [PMID: 33164732 DOI: 10.5152/eurjrheum.2020.19192] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 03/05/2020] [Indexed: 01/15/2023] Open
Abstract
Systemic sclerosis (SSc) is a connective tissue disorder characterized by immunologic, vascular, and extracellular matrix abnormalities. Variation in the proportion and/or timing of activation in the deregulated molecular pathways that underlie SSc may explain the observed clinical heterogeneity in terms of disease phenotype and treatment response. In recent years, SSc research has generated massive amounts of "omics" level data. In this review, we discuss the body of "omics" level work in SSc and how each layer provides unique insight to our understanding of SSc. We posit that effective integration of genomic, transcriptomic, metagenomic, and epigenomic data is an important step toward precision medicine and is vital to the identification of effective therapeutic options for patients with SSc.
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Affiliation(s)
- Bhaven K Mehta
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Monica E Espinoza
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Monique Hinchcliff
- Department of Rheumatology, Allergy & Immunology, Yale School of Medicine, New Haven, CT, USA
| | - Michael L Whitfield
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.,Department of Biomedical Data Science, Dartmouth College, Hanover, NH, USA
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Pu W, Wu W, Liu Q, Ma Y, Tu W, Zuo X, Guo G, Jiang S, Zhao Y, Zuo X, Wang Q, Yang L, Xiao R, Chu H, Wang L, Sun L, Cui J, Yu L, Li H, Li Y, Shi Y, Zhang J, Zhang H, Liang M, Chen D, Ding Y, Chen X, Chen Y, Zhang R, Zhao H, Li Y, Qi Q, Bai P, Zhao L, Reveille JD, Mayes MD, Jin L, Lee EB, Zhang X, Xu J, Zhang Z, Zhou X, Zou H, Wang J. Exome-Wide Association Analysis Suggests LRP2BP as a Susceptibility Gene for Endothelial Injury in Systemic Sclerosis in the Han Chinese Population. J Invest Dermatol 2020; 141:1254-1263.e6. [PMID: 33069728 DOI: 10.1016/j.jid.2020.07.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 07/13/2020] [Accepted: 07/24/2020] [Indexed: 11/18/2022]
Abstract
Genetic factors play a key role in the pathogenesis of autoimmune diseases, whereas the disease-causing variants remain largely unknown. Herein, we performed an exome-wide association study of systemic sclerosis in a Han Chinese population. In the discovery stage, 527 patients with systemic sclerosis and 5,024 controls were recruited and genotyped. In the validation study, an independent sample set of 479 patients and 1,096 controls were examined. In total, we found that four independent signals reached genome-wide significance. Among them, rs7574865 (Pcombined = 3.87 × 10-12) located within signal transducer and activator of transcription 4 gene was identified previously using samples of European ancestry. Additionally, another signal including three SNPs in linkage disequilibrium might be unreported susceptibility loci located in the epidermis differentiation complex region. Furthermore, two SNPs located within exon 3 of IGHM (rs45471499, Pcombined = 1.15 × 10-9) and upstream of LRP2BP (rs4317244, Pcombined = 4.17 × 10-8) were found. Moreover, rs4317244 was identified as an expression quantitative trait locus for LRP2BP that regulates tight junctions, cell cycle, and apoptosis in endothelial cell lines. Collectively, our results revealed three signals associated with systemic sclerosis in Han Chinese and suggested the importance of LRP2BP in systemic sclerosis pathogenesis. Given the limited sample size and discrepancies between previous results and our study, further studies in multiethnic populations are required for verification.
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Affiliation(s)
- Weilin Pu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China; Human Phenome Institute, Fudan University, Shanghai, China
| | - Wenyu Wu
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qingmei Liu
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanyun Ma
- Human Phenome Institute, Fudan University, Shanghai, China; Six-sector Industrial Research Institute, Fudan University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Wenzhen Tu
- Division of Rheumatology, Shanghai TCM-integrated Hospital, Shanghai, China
| | - Xianbo Zuo
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
| | - Gang Guo
- Department of Rheumatology, Yiling Hospital, Shijiazhuang, China
| | - Shuai Jiang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China; Human Phenome Institute, Fudan University, Shanghai, China; Department of Rheumatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yinhuan Zhao
- Division of Rheumatology, Shanghai TCM-integrated Hospital, Shanghai, China
| | - Xiaoxia Zuo
- Department of Rheumatology, Xiangya Hospital, Central South University, Changsha, China
| | - Qingwen Wang
- Rheumatology and Immunology Department, Peking University Shenzhen Hospital, Shenzhen, China
| | - Li Yang
- Department of Rheumatology, The Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Rong Xiao
- Department of Dermatology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Haiyan Chu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Lei Wang
- Division of Rheumatology, Shanghai TCM-integrated Hospital, Shanghai, China
| | - Liangdan Sun
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
| | - Jimin Cui
- Department of Rheumatology, Yiling Hospital, Shijiazhuang, China
| | - Ling Yu
- Division of Rheumatology, Shanghai TCM-integrated Hospital, Shanghai, China
| | - Huiyun Li
- Department of Rheumatology, Yiling Hospital, Shijiazhuang, China
| | - Yisha Li
- Department of Rheumatology, Xiangya Hospital, Central South University, Changsha, China
| | - Yaqian Shi
- Department of Dermatology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Jiaqian Zhang
- Division of Rheumatology, Shanghai TCM-integrated Hospital, Shanghai, China
| | - Haishun Zhang
- Department of Rheumatology, Yiling Hospital, Shijiazhuang, China
| | - Minrui Liang
- Department of Rheumatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Dongdong Chen
- Division of Rheumatology, Shanghai TCM-integrated Hospital, Shanghai, China
| | - Yue Ding
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Xiangxiang Chen
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Yuanyuan Chen
- Division of Rheumatology, Shanghai TCM-integrated Hospital, Shanghai, China
| | - Rui Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Han Zhao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Yuan Li
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Qing Qi
- Department of Dermatology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Department of Dermatology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Peng Bai
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Liang Zhao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - John D Reveille
- Division of Rheumatology and Clinical Immunogenetics, the University of Texas-McGovern Medical School, Houston, Texas, USA
| | - Maureen D Mayes
- Division of Rheumatology and Clinical Immunogenetics, the University of Texas-McGovern Medical School, Houston, Texas, USA
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China; Human Phenome Institute, Fudan University, Shanghai, China; Research Unit of dissecting the population genetics and developing new technologies for treatment and prevention of skin phenotypes and dermatological diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China
| | - Eun Bong Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Xuejun Zhang
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
| | - Jinhua Xu
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zheng Zhang
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaodong Zhou
- Division of Rheumatology and Clinical Immunogenetics, the University of Texas-McGovern Medical School, Houston, Texas, USA
| | - Hejian Zou
- Department of Rheumatology, Huashan Hospital, Fudan University, Shanghai, China; Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China; Human Phenome Institute, Fudan University, Shanghai, China; Research Unit of dissecting the population genetics and developing new technologies for treatment and prevention of skin phenotypes and dermatological diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China; Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China.
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18
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Chairta P, Psarelis S, Michailidou K, Demetriou C, Symeonidou S, Nicolaou P, Christodoulou K. Genetic Susceptibility to Systemic Sclerosis in the Greek-Cypriot Population: A Pilot Study. Genet Test Mol Biomarkers 2020; 24:309-317. [PMID: 32315557 PMCID: PMC7232649 DOI: 10.1089/gtmb.2019.0255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Systemic Sclerosis (SSc), also known as scleroderma, is an autoimmune rheumatic disease, which is clinically subdivided into two major subgroups; limited (lcSSc) and diffuse cutaneous scleroderma (dcSSc). Even though the SSc etiologies remains unclear, some HLA and non-HLA genetic variants have been associated with the disease. Aim: This study was designed to evaluate the associations between several HLA-related genetic variants and SSc in the Greek-Cypriot population. Methods: Forty-one SSc patients and 164 controls were genotyped at 18 selected single nucleotide polymorphisms (SNPs) using restriction fragment length polymorphism analyses, Sanger sequencing, and a multiplex SNaPshot minisequencing assay. Logistic regression analysis under the log-additive model was used to evaluate all possible associations between these SNPs and SSc; nominal statistical significance was assumed at p < 0.05. Results: Associations of SSc with SNPs rs3117230, rs3128930, and rs3128965 within the HLA-DPB1 and HLA-DPB2 regions were observed in the Greek-Cypriot population at the level of p < 0.05. However, none of these associations survived a Bonferroni correction. The direction of the effect is consistent with the direction reported in previous studies. In addition, allele frequencies of the majority of the selected SNPs in the Greek-Cypriot population are similar to those reported in the European population. Conclusion: This study initiates the genetic investigation of SSc in the Greek-Cypriot population, a relatively small newly investigated population. Further investigation with a larger sample size and/or additional SSc susceptibility loci may confirm the association of some of these variants with SSc in the Greek-Cypriot population that could potentially be used for predictive testing.
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Affiliation(s)
- Paraskevi Chairta
- Neurogenetics Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.,Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Savvas Psarelis
- Rheumatology Department, Nicosia General Hospital, Nicosia, Cyprus.,Medical School, University of Cyprus, Nicosia, Cyprus
| | - Kyriaki Michailidou
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.,Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | | | - Sofia Symeonidou
- Rheumatology Department, Nicosia General Hospital, Nicosia, Cyprus
| | - Paschalis Nicolaou
- Neurogenetics Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.,Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Kyproula Christodoulou
- Neurogenetics Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.,Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
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19
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Takagi K, Kawamoto M, Higuchi T, Tochimoto A, Harigai M, Kawaguchi Y. Single nucleotide polymorphisms of the
HIF1A
gene are associated with susceptibility to pulmonary arterial hypertension in systemic sclerosis and contribute to SSc‐PAH disease severity. Int J Rheum Dis 2020; 23:674-680. [DOI: 10.1111/1756-185x.13822] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 02/07/2020] [Accepted: 02/19/2020] [Indexed: 01/02/2023]
Affiliation(s)
- Kae Takagi
- Department of Medicine Tokyo Women's Medical University Medical Center East Tokyo Japan
- Department of Rheumatology Tokyo Women's Medical University School of Medicine Tokyo Japan
| | - Manabu Kawamoto
- Department of Rheumatology Tokyo Women's Medical University School of Medicine Tokyo Japan
| | - Tomoaki Higuchi
- Department of Rheumatology Tokyo Women's Medical University School of Medicine Tokyo Japan
| | - Akiko Tochimoto
- Department of Rheumatology Tokyo Women's Medical University School of Medicine Tokyo Japan
| | - Masayoshi Harigai
- Department of Rheumatology Tokyo Women's Medical University School of Medicine Tokyo Japan
| | - Yasushi Kawaguchi
- Department of Rheumatology Tokyo Women's Medical University School of Medicine Tokyo Japan
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20
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Nihtyanova SI, Denton CP. Pathogenesis of systemic sclerosis associated interstitial lung disease. JOURNAL OF SCLERODERMA AND RELATED DISORDERS 2020; 5:6-16. [PMID: 35382227 PMCID: PMC8922569 DOI: 10.1177/2397198320903867] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 12/24/2019] [Indexed: 12/12/2022]
Abstract
Systemic sclerosis is an autoimmune disease leading to vasculopathy and fibrosis
of skin and internal organs. Despite likely shared pathogenic mechanisms, the
patterns of skin and lung fibrosis differ. Pathogenesis of interstitial lung
disease, a major cause of death in systemic sclerosis, reflects the intrinsic
disease pathobiology and is associated with distinct clinical phenotypes and
laboratory characteristics. The commonest histological pattern of systemic
sclerosis–interstitial lung disease is non-specific interstitial pneumonia.
Systemic sclerosis–interstitial lung disease pathogenesis involves multiple
components, including susceptibility and triggering factors, which could be
genetic or environmental. The process is amplified likely through ongoing
inflammation and the link between inflammatory activity and fibrosis with IL6
emerging as a key mediator. The disease is driven by epithelial injury,
reflected by markers in the serum, such as surfactant proteins and KL-6. In
addition, mediators that are produced by epithelial cells and that regulate
inflammatory cell trafficking may be important, especially CCL2. Other factors,
such as CXCL4 and CCL18, point towards immune-mediated damage or injury
response. Monocytes and alternatively activated macrophages appear to be
important. Transforming growth factor beta appears central to pathogenesis and
regulates epithelial repair and fibroblast activation. Understanding
pathogenesis may help to unravel the stages of systemic sclerosis–interstitial
lung disease, risks of progression and determinants of outcome. With this
article, we set out to review the multiple factors, including genetic,
environmental, cellular and molecular, that may be involved in the pathogenesis
of systemic sclerosis–interstitial lung disease and the mechanisms leading to
sustained fibrosis. We propose a model for the pathogenesis of systemic
sclerosis–interstitial lung disease, based on the available literature.
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Affiliation(s)
- Svetlana I Nihtyanova
- Centre for Rheumatology and Connective Tissue Diseases, University College London, London, UK
| | - Christopher P Denton
- Centre for Rheumatology and Connective Tissue Diseases, University College London, London, UK
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21
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Towards a Better Classification and Novel Therapies Based on the Genetics of Systemic Sclerosis. Curr Rheumatol Rep 2019; 21:44. [PMID: 31304568 DOI: 10.1007/s11926-019-0845-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE OF THE REVIEW Nowadays, important advances have occurred in our understanding of the pathogenesis of systemic sclerosis (SSc), which is a rare immune-mediated inflammatory disease (IMID) characterized by vascular damage, immune imbalance, and fibrosis. Its etiology remains unknown; nevertheless, both environmental and genetic factors play a major role in the disease. This review will focus on the main advances made in the field of genetics of SSc. RECENT FINDINGS The assessment of how interindividual genetic variability affects disease onset and progression has enhanced our knowledge of disease biology, and this will eventually translate in the development of new diagnostic and therapeutic tools, which is the final goal of personalized medicine. We will provide an overview of the most relevant achievements in the genetics of SSc, its shared genetics among IMIDs with special attention on drug repurposing, current challenges for the functional characterization of risk variants, and future directions.
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22
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Ma WT, Gao F, Gu K, Chen DK. The Role of Monocytes and Macrophages in Autoimmune Diseases: A Comprehensive Review. Front Immunol 2019; 10:1140. [PMID: 31178867 PMCID: PMC6543461 DOI: 10.3389/fimmu.2019.01140] [Citation(s) in RCA: 183] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 05/07/2019] [Indexed: 12/19/2022] Open
Abstract
Monocytes (Mo) and macrophages (Mϕ) are key components of the innate immune system and are involved in regulation of the initiation, development, and resolution of many inflammatory disorders. In addition, these cells also play important immunoregulatory and tissue-repairing roles to decrease immune reactions and promote tissue regeneration. Several lines of evidence have suggested a causal link between the presence or activation of these cells and the development of autoimmune diseases. In addition, Mo or Mϕ infiltration in diseased tissues is a hallmark of several autoimmune diseases. However, the detailed contributions of these cells, whether they actually initiate disease or perpetuate disease progression, and whether their phenotype and functional alteration are merely epiphenomena are still unclear in many autoimmune diseases. Additionally, little is known about their heterogeneous populations in different autoimmune diseases. Elucidating the relevance of Mo and Mϕ in autoimmune diseases and the associated mechanisms could lead to the identification of more effective therapeutic strategies in the future.
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Affiliation(s)
- Wen-Tao Ma
- Veterinary Immunology Laboratory, College of Veterinary Medicine, Northwest A&F University, Yangling, China.,School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Fei Gao
- Veterinary Immunology Laboratory, College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Kui Gu
- Veterinary Immunology Laboratory, College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - De-Kun Chen
- Veterinary Immunology Laboratory, College of Veterinary Medicine, Northwest A&F University, Yangling, China
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23
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Kang EH, Go DJ, Mimori T, Lee SJ, Kwon HM, Park JW, Park MH, Song EY, Ha YJ, Lee EY, Lee YJ, Lee EB, Song YW. Novel susceptibility alleles in HLA region for myositis and myositis specific autoantibodies in Korean patients. Semin Arthritis Rheum 2019; 49:283-287. [PMID: 30952422 DOI: 10.1016/j.semarthrit.2019.03.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 02/20/2019] [Accepted: 03/04/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVES HLA genes are a major genetic risk factor for myositis and myositis specific antibodies (MSAs), exhibiting unique HLA backgrounds for myositis in different ethnic groups. This is the first large scale Korean study to genotype the HLA-DRB1 and -DPB1 alleles and to examine their association with myositis and MSAs. METHODS HLA-DRB1 and HLA-DPB1 alleles and MSAs were examined in 179 patients with dermatomyositis (DM, n = 129) or polymyositis (PM, n = 50) and healthy controls (n = 800 for HLA-DRB1, n = 548 for HLA-DPB1). Associations between individual HLA alleles and myositis/MSA were examined. Bonferroni correction was applied for multiple testing comparing patients and controls. RESULTS A total of 33 HLA-DRB1 and 24 HLA-DPB1 alleles were genotyped in patients and controls. MSAs were found in 67.0% of patients. Anti-MDA5 (26.8%) and anti-aminoacyl-tRNA synthetase antibodies (15.6%) were most common, followed by anti-Mi2 (9.5%) and anti-TIF1γ antibodies (8.9%). HLA-DRB1*12:02 and HLA-DRB1*14:03 were associated with DM and PM, respectively. HLA-DRB1*12:02 was associated with anti-MDA5, HLA-DRB1*08:03 with anti-ARS, HLA-DRB1*14:03 with anti-SRP, and HLA-DRB1*07:01 with anti-Mi2 antibodies. Although HLA-DRB1*13:01 was associated with anti-TIF1γ antibodies, the frequency of HLA-DRB1*13:01 was rare. HLA-DPB1*02:01 was negatively associated with myositis and PM while HLA-DPB1*17:01 was associated with anti-Mi2 positive DM. CONCLUSIONS Unique immunogenetic background was observed for Korean patients with myositis. Novel myositis susceptibility alleles, HLA-DRB1*12:02 and HLA-DRB1*14:03, were identified, together with MSA-associated HLA alleles unique to Korean patients with myositis.
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Affiliation(s)
- Eun Ha Kang
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Dong Jin Go
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 28 Yongun-dong, Chongno-gu, Seoul 110-744, South Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, College of Medicine, Seoul National University, Seoul, South Korea
| | - Tsuneyo Mimori
- Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Sang Jin Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 28 Yongun-dong, Chongno-gu, Seoul 110-744, South Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, College of Medicine, Seoul National University, Seoul, South Korea
| | - Hyun Mi Kwon
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 28 Yongun-dong, Chongno-gu, Seoul 110-744, South Korea
| | - Jun Won Park
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 28 Yongun-dong, Chongno-gu, Seoul 110-744, South Korea
| | - Myoung Hee Park
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Eun Young Song
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul, South Korea
| | - You-Jung Ha
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Eun Young Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 28 Yongun-dong, Chongno-gu, Seoul 110-744, South Korea
| | - Yun Jong Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Eun Bong Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 28 Yongun-dong, Chongno-gu, Seoul 110-744, South Korea
| | - Yeong Wook Song
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 28 Yongun-dong, Chongno-gu, Seoul 110-744, South Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, College of Medicine, Seoul National University, Seoul, South Korea.
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24
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González-Serna D, López-Isac E, Yilmaz N, Gharibdoost F, Jamshidi A, Kavosi H, Poursani S, Farsad F, Direskeneli H, Saruhan-Direskeneli G, Vargas S, Sawalha AH, Brown MA, Yavuz S, Mahmoudi M, Martin J. Analysis of the genetic component of systemic sclerosis in Iranian and Turkish populations through a genome-wide association study. Rheumatology (Oxford) 2019; 58:289-298. [PMID: 30247649 DOI: 10.1093/rheumatology/key281] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Indexed: 12/13/2022] Open
Abstract
Objectives SSc is an autoimmune disease characterized by alteration of the immune response, vasculopathy and fibrosis. Most genetic studies on SSc have been performed in European-ancestry populations. The aim of this study was to analyse the genetic component of SSc in Middle Eastern patients from Iran and Turkey through a genome-wide association study. Methods This study analysed data from a total of 834 patients diagnosed with SSc and 1455 healthy controls from Iran and Turkey. DNA was genotyped using high-throughput genotyping platforms. The data generated were imputed using the Michigan Imputation Server, and the Haplotype Reference Consortium as a reference panel. A meta-analysis combining both case-control sets was conducted by the inverse variance method. Results The highest peak of association belonged to the HLA region in both the Iranian and Turkish populations. Strong and independent associations between the classical alleles HLA-DRB1*11: 04 [P = 2.10 × 10-24, odds ratio (OR) = 3.14] and DPB1*13: 01 (P = 5.37 × 10-14, OR = 5.75) and SSc were observed in the Iranian population. HLA-DRB1*11: 04 (P = 4.90 × 10-11, OR = 2.93) was the only independent signal associated in the Turkish cohort. An omnibus test yielded HLA-DRB1 58 and HLA-DPB1 76 as relevant amino acid positions for this disease. Concerning the meta-analysis, we also identified two associations close to the genome-wide significance level outside the HLA region, corresponding to IRF5-TNPO3 rs17424921-C (P = 1.34 × 10-7, OR = 1.68) and NFKB1 rs4648133-C (P = 3.11 × 10-7, OR = 1.47). Conclusion We identified significant associations in the HLA region and suggestive associations in IRF5-TNPO3 and NFKB1 loci in Iranian and Turkish patients affected by SSc through a genome-wide association study and an extensive HLA analysis.
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Affiliation(s)
- David González-Serna
- Cell Biology and Immunology Department, Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, Spain
| | - Elena López-Isac
- Cell Biology and Immunology Department, Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, Spain
| | - Neslihan Yilmaz
- Department of Rheumatology, Istanbul Bilim University, Istanbul, Turkey
| | - Farhad Gharibdoost
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmadreza Jamshidi
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hoda Kavosi
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Shiva Poursani
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Faraneh Farsad
- Department of Rheumatology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | | | - Sofia Vargas
- Cell Biology and Immunology Department, Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, Spain
| | - Amr H Sawalha
- Division of Rheumatology, Department of Internal Medicine, Ann Arbor MI, USA
- Department of Computational Medicine and Bioinformatics, The Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor MI, USA
| | - Matthew A Brown
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, Queensland, Australia
| | - Sule Yavuz
- Department of Rheumatology, Istanbul Bilim University, Istanbul, Turkey
| | - Mahdi Mahmoudi
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Javier Martin
- Cell Biology and Immunology Department, Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, Spain
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25
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Zhou X, Li H, Guo S, Wang J, Shi C, Espitia M, Guo X, Wang Q, Liu M, Assassi S, Reveille JD, Mayes MD. Associations of Multiple NOTCH4 Exonic Variants with Systemic Sclerosis. J Rheumatol 2018; 46:184-189. [PMID: 30442821 DOI: 10.3899/jrheum.180094] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/08/2018] [Indexed: 01/02/2023]
Abstract
OBJECTIVE Findings from previous genome-wide association studies indicated an association of the NOTCH4 gene with systemic sclerosis (SSc). This is a followup study to fine-map exonic variants of NOTCH4 in SSc. METHODS All exons of NOTCH4 were sequenced and analyzed in a total of 1006 patients with SSc and 1004 controls of US white ancestry with the Ion Torrent system. Identified SSc-associated variants were confirmed with Sanger sequencing, and then examined in a Chinese Han cohort consisting of 576 patients with SSc and 574 controls. The NOTCH4 variants were analyzed for association with SSc as a whole and with SSc clinical and autoantibody subtypes with and without the influence of specific HLA-class II alleles that had been previously identified as major genetic factors in SSc. RESULTS A total of 12 SSc-associated and SSc subtype-associated exonic variants of NOTCH4 were identified in the US cohort. Three of them are nonsynonymous single-nucleotide polymorphisms and 1 is a CTG tandem repeat that encodes for a poly-leucine, all of which are located in the NOTCH4 extracellular domain (NECD). Conditional logistic regression analysis on SSc-associated HLA-class II alleles indicated an independent association of the NOTCH4 variants with SSc autoantibody subtypes. Analysis of the Chinese cohort supported a genetic contribution of NOTCH4 to SSc and its subtypes. CONCLUSION Multiple NOTCH4 exonic variants were associated with SSc and/or SSc subtypes. Several of these variants encode nonsynonymous sequence changes occurring in the NECD, which implicates a potentially functional effect of NOTCH4.
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Affiliation(s)
- Xiaodong Zhou
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China. .,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School.
| | - Hongye Li
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - Shicheng Guo
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - Jiucun Wang
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - Chunhua Shi
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - Maribel Espitia
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - Xinjian Guo
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - Qingwen Wang
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - Mengyuan Liu
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - Shervin Assassi
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - John D Reveille
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
| | - Maureen D Mayes
- From the Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health, Houston, Texas, USA; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai; Department of Rheumatology, Jiangxi People's Hospital, Nanchang; Department of Rheumatology, Peking University-Shenzhen Hospital, Shenzhen; Life Sciences College, Hubei University, Wuhan, China.,X. Zhou, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; H. Li, MD, PhD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; S. Guo, PhD, Human Genetics Center, Division of Biostatistics, The University of Texas School of Public Health; J. Wang, PhD, State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University; C. Shi, MD, Department of Rheumatology, Jiangxi People's Hospital; M. Espitia, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; X. Guo, BS, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; Q. Wang, MD, PhD, Department of Rheumatology, Peking University-Shenzhen Hospital; M. Liu, PhD, Life Sciences College, Hubei University; S. Assassi, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; J.D. Reveille, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School; M.D. Mayes, MD, Division of Rheumatology, Department of Internal Medicine, University of Texas McGovern Medical School
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26
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Rezaei R, Aslani S, Dashti N, Jamshidi A, Gharibdoost F, Mahmoudi M. Genetic implications in the pathogenesis of systemic sclerosis. Int J Rheum Dis 2018; 21:1478-1486. [DOI: 10.1111/1756-185x.13344] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Ramazan Rezaei
- Rheumatology Research Center Tehran University of Medical Sciences Tehran Iran
- Department of Immunology School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran
| | - Saeed Aslani
- Rheumatology Research Center Tehran University of Medical Sciences Tehran Iran
| | - Navid Dashti
- Rheumatology Research Center Tehran University of Medical Sciences Tehran Iran
- Department of Immunology School of Medicine Tehran University of Medical Sciences Tehran Iran
| | - Ahmadreza Jamshidi
- Rheumatology Research Center Tehran University of Medical Sciences Tehran Iran
| | - Farhad Gharibdoost
- Rheumatology Research Center Tehran University of Medical Sciences Tehran Iran
| | - Mahdi Mahmoudi
- Rheumatology Research Center Tehran University of Medical Sciences Tehran Iran
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27
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Yao YF, Zhou YY, Qi Y, Zhao Q, Xu HL. Identification of eight new MHC-DPB1 alleles in the Tibetan macaques (Macaca thibetana). HLA 2018; 92:190-192. [PMID: 29790301 DOI: 10.1111/tan.13257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Revised: 02/24/2018] [Accepted: 03/06/2018] [Indexed: 11/29/2022]
Abstract
We report here the identification of eight new Math-DPB1 alleles in the Tibetan macaques.
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Affiliation(s)
- Y F Yao
- College of Life Science, Sichuan Agricultural University, Ya'an, China.,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Y Y Zhou
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Y Qi
- College of Life Science, Sichuan Agricultural University, Ya'an, China
| | - Q Zhao
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - H L Xu
- College of Life Science, Sichuan Agricultural University, Ya'an, China
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28
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Yao YF, Zhou YY, Xu HL. First identification of the MHC-DPB2 alleles in the rhesus macaques (Macaca mulatta). HLA 2018; 92:188-190. [PMID: 29790277 DOI: 10.1111/tan.13255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 02/22/2018] [Accepted: 03/06/2018] [Indexed: 11/26/2022]
Abstract
We report here the identification of three MHC-DPB2 alleles in the rhesus macaques (Macaca mulatta).
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Affiliation(s)
- Y F Yao
- College of Life Science, Sichuan Agricultural University, Ya'an, China.,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Y Y Zhou
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - H L Xu
- College of Life Science, Sichuan Agricultural University, Ya'an, China
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29
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Oral rigidity and xerostomia in a 46-year-old man. J Am Dent Assoc 2018; 149:214-219. [DOI: 10.1016/j.adaj.2017.12.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Revised: 11/26/2017] [Accepted: 12/20/2017] [Indexed: 11/18/2022]
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30
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Genetic predictors of systemic sclerosis-associated interstitial lung disease: a review of recent literature. Eur J Hum Genet 2018; 26:765-777. [PMID: 29476163 DOI: 10.1038/s41431-018-0104-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 11/15/2017] [Accepted: 01/09/2018] [Indexed: 02/06/2023] Open
Abstract
The interplay between genetic and environmental factors is likely involved in the pathogenesis of systemic sclerosis (SSc). Interstitial lung disease associated in the context of SSc (SSc-ILD) is associated with significant morbidity, and is the leading cause of death in SSc. The spectrum of SSc-ILD severity is wide, ranging from patients with only limited and inherently stable pulmonary involvement, to those with extensive and progressive pulmonary fibrosis. In order to provide accurate prognostic information for patients, and to initiate appropriate monitoring and treatment regimens, the ability to identify patients at risk of developing severe ILD early in the disease course is crucial. Identification of genetic variants involved in disease pathogenesis can not only potentially provide diagnostic/prognostic markers, but can also highlight dysregulated molecular pathways for therapeutic targeting. A number of genetic associations have been established for susceptibility to SSc, but far fewer studies have investigated genetic susceptibility to SSc-ILD specifically. In this review we present a summary of the studies assessing genetic associations with SSc-ILD.
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31
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Genome-Wide DNA Methylation Analysis in Systemic Sclerosis Reveals Hypomethylation of IFN-Associated Genes in CD4 + and CD8 + T Cells. J Invest Dermatol 2017; 138:1069-1077. [PMID: 29248544 DOI: 10.1016/j.jid.2017.12.003] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 12/05/2017] [Accepted: 12/05/2017] [Indexed: 01/03/2023]
Abstract
Epigenetic modifications, including DNA methylation, play an important role in the pathogenesis of autoimmune diseases. In this study, we characterized the DNA methylome in primary T cells of patients with systemic sclerosis. Genome-wide DNA methylation assays of CD4+ and CD8+ T cells from 24 systemic sclerosis patients and 24 matched controls were conducted and differentially methylated regions were validated. In the discovery stage, we found that hypomethylation of genes involved in the type I IFN signaling pathway was significantly enriched in both CD4+ (P = 7.59 × 10-6) and CD8+ (P = 2.10 × 10-8) differentially methylated regions. In the validation stage, we confirmed these changes for five type I IFN-associated genes. In addition, protein levels of both type I IFN-α (P < 0.0001) and β (P = 0.002) were significantly elevated in the sera of systemic sclerosis patients. Moreover, significant associations between type I IFN-α/β protein levels with the DNA methylation status as well as the expression profiles of these IFN-associated genes were confirmed. In conclusion, the type I IFN pathway is dysfunctional at the epigenetic level in systemic sclerosis patients, indicating that hypomethylation and upregulation of type I IFN-associated genes might be critical in systemic sclerosis pathogenesis.
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32
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Ma WT, Chang C, Gershwin ME, Lian ZX. Development of autoantibodies precedes clinical manifestations of autoimmune diseases: A comprehensive review. J Autoimmun 2017; 83:95-112. [PMID: 28739356 DOI: 10.1016/j.jaut.2017.07.003] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 06/30/2017] [Accepted: 07/01/2017] [Indexed: 12/21/2022]
Abstract
The etiology of autoimmune diseases is due to a combination of genetic predisposition and environmental factors that alter the expression of immune regulatory genes through various mechanisms including epigenetics. Both humoral and cellular elements of the adaptive immune system play a role in the pathogenesis of autoimmune diseases and the presence of autoantibodies have been detected in most but not all autoimmune diseases before the appearance of clinical symptoms. In some cases, the presence or levels of these autoantibodies portends not only the risk of developing a corresponding autoimmune disease, but occasionally the severity as well. This observation is intriguing because it suggests that we can, to some degree, predict who may or may not develop autoimmune diseases. However, the role of autoantibodies in the pathogenesis of autoimmune diseases, whether they actually affect disease progression or are merely an epiphenomenon is still not completely clear in many autoimmune diseases. Because of these gaps in our knowledge, the ability to accurately predict a future autoimmune disease can only be considered a relative risk factor. Importantly, it raises the critical question of defining other events that may drive a patient from a preclinical to a clinical phase of disease.
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Affiliation(s)
- Wen-Tao Ma
- Chronic Disease Laboratory, Institutes for Life Sciences and School of Medicine, South China University of Technology, Guangzhou 510006, China; Liver Immunology Laboratory, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China; College of Veterinary Medicine, Northwest Agriculture and Forestry University, Yangling 712100, China
| | - Christopher Chang
- Division of Rheumatology, Allergy and Clinical Immunology, University of California at Davis, Davis, CA, USA
| | - M Eric Gershwin
- Division of Rheumatology, Allergy and Clinical Immunology, University of California at Davis, Davis, CA, USA.
| | - Zhe-Xiong Lian
- Chronic Disease Laboratory, Institutes for Life Sciences and School of Medicine, South China University of Technology, Guangzhou 510006, China; Liver Immunology Laboratory, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China; Innovation Center for Cell Signaling Network, Hefei National Laboratory for Physical Sciences at Microscale, Hefei, Anhui, China.
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Tsou PS, Sawalha AH. Unfolding the pathogenesis of scleroderma through genomics and epigenomics. J Autoimmun 2017; 83:73-94. [PMID: 28526340 DOI: 10.1016/j.jaut.2017.05.004] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Accepted: 05/09/2017] [Indexed: 12/12/2022]
Abstract
With unknown etiology, scleroderma (SSc) is a multifaceted disease characterized by immune activation, vascular complications, and excessive fibrosis in internal organs. Genetic studies, including candidate gene association studies, genome-wide association studies, and whole-exome sequencing have supported the notion that while genetic susceptibility to SSc appears to be modest, SSc patients are genetically predisposed to this disease. The strongest genetic association for SSc lies within the MHC region, with loci in HLA-DRB1, HLA-DQB1, HLA-DPB1, and HLA-DOA1 being the most replicated. The non-HLA genes associated with SSc are involved in various functions, with the most robust associations including genes for B and T cell activation and innate immunity. Other pathways include genes involved in extracellular matrix deposition, cytokines, and autophagy. Among these genes, IRF5, STAT4, and CD247 were replicated most frequently while SNPs rs35677470 in DNASE1L3, rs5029939 in TNFAIP3, and rs7574685 in STAT4 have the strongest associations with SSc. In addition to genetic predisposition, it became clear that environmental factors and epigenetic influences also contribute to the development of SSc. Epigenetics, which refers to studies that focus on heritable phenotypes resulting from changes in chromatin structure without affecting the DNA sequence, is one of the most rapidly expanding fields in biomedical research. Indeed extensive epigenetic changes have been described in SSc. Alteration in enzymes and mediators involved in DNA methylation and histone modification, as well as dysregulated non-coding RNA levels all contribute to fibrosis, immune dysregulation, and impaired angiogenesis in this disease. Genes that are affected by epigenetic dysregulation include ones involved in autoimmunity, T cell function and regulation, TGFβ pathway, Wnt pathway, extracellular matrix, and transcription factors governing fibrosis and angiogenesis. In this review, we provide a comprehensive overview of the current findings of SSc genetic susceptibility, followed by an extensive description and a systematic review of epigenetic research that has been carried out to date in SSc. We also summarize the therapeutic potential of drugs that affect epigenetic mechanisms, and outline the future prospective of genomics and epigenomics research in SSc.
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Affiliation(s)
- Pei-Suen Tsou
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Amr H Sawalha
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
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RXRB Is an MHC-Encoded Susceptibility Gene Associated with Anti-Topoisomerase I Antibody-Positive Systemic Sclerosis. J Invest Dermatol 2017; 137:1878-1886. [PMID: 28506627 DOI: 10.1016/j.jid.2017.04.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 04/14/2017] [Accepted: 04/23/2017] [Indexed: 01/03/2023]
Abstract
Systemic sclerosis is a systemic autoimmune and connective tissue disorder associated with the human leukocyte antigen locus. However, the functional relationship between human leukocyte antigen gene(s) and disease development remains unknown. To elucidate major histocompatibility complex-linked systemic sclerosis genetics, we performed genotyping of major histocompatibility complex-borne microsatellites and HLA-DPB1 alleles using DNA obtained from 318 anti-topoisomerase I antibody-positive patients and 561 healthy controls, all of Japanese descent. Those results revealed two major histocompatibility complex haplotypes associated with systemic sclerosis. Exome sequencing and targeted analysis of these risk haplotypes identified rs17847931 in RXRB as a susceptibility variant (P = 1.3 × 10-15; odds ratio [OR] = 9.4) with amino acid substitution p.V95A on the risk haplotype harboring HLA-DPB1∗13:01. No identical variant in the other haplotype including DPB1*09:01 was observed, though that haplotype also showed a significant association (P = 8.5 × 10-22; OR = 4.3) with systemic sclerosis. Furthermore, the number of risk factors was shown to be a predominant factor, as individuals with two factors had elevated risk (P = 6.7 × 10-13; OR = 30.2). We concluded that RXRB may be involved in antifibrotic activity in skin and chromatin remodeling.
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Terao C, Kawaguchi T, Dieude P, Varga J, Kuwana M, Hudson M, Kawaguchi Y, Matucci-Cerinic M, Ohmura K, Riemekasten G, Kawasaki A, Airo P, Horita T, Oka A, Hachulla E, Yoshifuji H, Caramaschi P, Hunzelmann N, Baron M, Atsumi T, Hassoun P, Torii T, Takahashi M, Tabara Y, Shimizu M, Tochimoto A, Ayuzawa N, Yanagida H, Furukawa H, Tohma S, Hasegawa M, Fujimoto M, Ishikawa O, Yamamoto T, Goto D, Asano Y, Jinnin M, Endo H, Takahashi H, Takehara K, Sato S, Ihn H, Raychaudhuri S, Liao K, Gregersen P, Tsuchiya N, Riccieri V, Melchers I, Valentini G, Cauvet A, Martinez M, Mimori T, Matsuda F, Allanore Y. Transethnic meta-analysis identifies GSDMA and PRDM1 as susceptibility genes to systemic sclerosis. Ann Rheum Dis 2017; 76:1150-1158. [PMID: 28314753 DOI: 10.1136/annrheumdis-2016-210645] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 01/08/2017] [Accepted: 02/21/2017] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Systemic sclerosis (SSc) is an autoimmune disease characterised by skin and systemic fibrosis culminating in organ damage. Previous genetic studies including genome-wide association studies (GWAS) have identified 12 susceptibility loci satisfying genome-wide significance. Transethnic meta-analyses have successfully expanded the list of susceptibility genes and deepened biological insights for other autoimmune diseases. METHODS We performed transethnic meta-analysis of GWAS in the Japanese and European populations, followed by a two-staged replication study comprising a total of 4436 cases and 14 751 controls. Associations between significant single nuclear polymorphisms (SNPs) and neighbouring genes were evaluated. Enrichment analysis of H3K4Me3, a representative histone mark for active promoter was conducted with an expanded list of SSc susceptibility genes. RESULTS We identified two significant SNP in two loci, GSDMA and PRDM1, both of which are related to immune functions and associated with other autoimmune diseases (p=1.4×10-10 and 6.6×10-10, respectively). GSDMA also showed a significant association with limited cutaneous SSc. We also replicated the associations of previously reported loci including a non-GWAS locus, TNFAIP3. PRDM1 encodes BLIMP1, a transcription factor regulating T-cell proliferation and plasma cell differentiation. The top SNP in GSDMA was a missense variant and correlated with gene expression of neighbouring genes, and this could explain the association in this locus. We found different human leukocyte antigen (HLA) association patterns between the two populations. Enrichment analysis suggested the importance of CD4-naïve primary T cell. CONCLUSIONS GSDMA and PRDM1 are associated with SSc. These findings provide enhanced insight into the genetic and biological basis of SSc.
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Affiliation(s)
- Chikashi Terao
- Department of Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Center for the Promotion of Interdisciplinary Education and Research, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
| | - Takahisa Kawaguchi
- Department of Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Philippe Dieude
- Rheumatology Bichat Hospital, Paris 7 University, Paris, France
| | - John Varga
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Masataka Kuwana
- Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Marie Hudson
- Jewish General Hospital and Lady Davis Research Institute, Montreal, Quebec, Canada
| | - Yasushi Kawaguchi
- Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan
| | - Marco Matucci-Cerinic
- Division of Rheumatology AOUC, Department of Experimental and Clinical Medicine, Department of Medical & Geriatrics Medicine, University of Florence, Firenze, Italy
| | - Koichiro Ohmura
- Department of Rheumatology and Clinical Immunology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Gabriela Riemekasten
- Clinic for Rheumatology, University of Lübeck, Lübeck, Germany.,German Lung Center Borstel, Leibniz Institute, Germany
| | - Aya Kawasaki
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Paolo Airo
- Rheumatology Unit, Spedali Civili, Brescia, Italy
| | - Tetsuya Horita
- Division of Rheumatology, Endocrinology and Nephrology, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Akira Oka
- The Institute of Medical Science, Tokai University, Isehara, Japan
| | - Eric Hachulla
- Internal Medicine Department, FHU Immune-Mediated Inflammatory Diseases and Targeted Therapies, Lille University, Lille, France
| | - Hajime Yoshifuji
- Department of Rheumatology and Clinical Immunology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Paola Caramaschi
- Rheumatology Department, University of Verona, Azienda Ospedaliera Universitaria Integrata, Italy
| | | | - Murray Baron
- Jewish General Hospital and Lady Davis Research Institute, Montreal, Quebec, Canada
| | - Tatsuya Atsumi
- Division of Rheumatology, Endocrinology and Nephrology, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Paul Hassoun
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Meiko Takahashi
- Department of Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yasuharu Tabara
- Department of Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masakazu Shimizu
- Department of Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Akiko Tochimoto
- Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan
| | - Naho Ayuzawa
- Department of Rheumatology, National Hospital Organization, Utano National Hospital, Kyoto, Japan
| | - Hidetoshi Yanagida
- Department of Rheumatology, National Hospital Organization, Utano National Hospital, Kyoto, Japan
| | - Hiroshi Furukawa
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.,Clinical Research Center for Allergy and Rheumatology, Sagamihara Hospital, National Hospital Organization, Sagamihara, Japan
| | - Shigeto Tohma
- Clinical Research Center for Allergy and Rheumatology, Sagamihara Hospital, National Hospital Organization, Sagamihara, Japan
| | - Minoru Hasegawa
- Division of Medicine, Faculty of Medical Sciences, Department of Dermatology, University of Fukui, Fukui, Japan
| | - Manabu Fujimoto
- Department of Dermatology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Osamu Ishikawa
- Department of Dermatology, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Toshiyuki Yamamoto
- Department of Dermatology, Fukushima Medical University, Fukushima, Japan
| | - Daisuke Goto
- Department of Internal Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Yoshihide Asano
- Department of Dermatology, University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Masatoshi Jinnin
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Hirahito Endo
- Division of Rheumatology, Department of Internal Medicine, School of Medicine, Toho University, Tokyo, Japan
| | - Hiroki Takahashi
- Department of Rheumatology and Clinical Immunology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan
| | - Kazuhiko Takehara
- Department of Dermatology, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan
| | - Shinichi Sato
- Department of Dermatology, University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Hironobu Ihn
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Soumya Raychaudhuri
- Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.,Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Katherine Liao
- Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Peter Gregersen
- Robert S. Boas Center for Genomics and Human Genetics, The Feinstein Institute for Medical Research, Manhasset, New York, USA
| | - Naoyuki Tsuchiya
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | | | | | - Gabriele Valentini
- Department of Clinical and Experimental Medicine, Rheumatology Section, Second University of Naples, Naples, Italy
| | - Anne Cauvet
- INSERM U1016/UMR 8104, Cochin Institute, Paris Descartes University, Paris, France
| | - Maria Martinez
- INSERM U1220-IRSD-Batiment B Purpan Hospital Toulouse, Paris, France
| | - Tsuneyo Mimori
- Department of Rheumatology and Clinical Immunology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Fumihiko Matsuda
- Department of Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yannick Allanore
- Rheumatology A Department, INSERM U1016/UMR 8104, Cochin Institute, Paris Descartes University, Paris, France
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Zuo X, Zhang L, Luo H, Li Y, Zhu H. Systematic approach to understanding the pathogenesis of systemic sclerosis. Clin Genet 2017; 92:365-371. [PMID: 27918067 DOI: 10.1111/cge.12946] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 11/24/2016] [Accepted: 11/27/2016] [Indexed: 12/13/2022]
Affiliation(s)
- Xiaoxia Zuo
- Department of Rheumatology, Xiangya Hospital; Central South University; Changsha People's Republic of China
| | - Lihua Zhang
- Department of Rheumatology, Xiangya Hospital; Central South University; Changsha People's Republic of China
| | - Hui Luo
- Department of Rheumatology, Xiangya Hospital; Central South University; Changsha People's Republic of China
| | - Yisha Li
- Department of Rheumatology, Xiangya Hospital; Central South University; Changsha People's Republic of China
| | - Honglin Zhu
- Department of Rheumatology, Xiangya Hospital; Central South University; Changsha People's Republic of China
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37
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Ben-Avraham D, Karasik D, Verghese J, Lunetta KL, Smith JA, Eicher JD, Vered R, Deelen J, Arnold AM, Buchman AS, Tanaka T, Faul JD, Nethander M, Fornage M, Adams HH, Matteini AM, Callisaya ML, Smith AV, Yu L, De Jager PL, Evans DA, Gudnason V, Hofman A, Pattie A, Corley J, Launer LJ, Knopman DS, Parimi N, Turner ST, Bandinelli S, Beekman M, Gutman D, Sharvit L, Mooijaart SP, Liewald DC, Houwing-Duistermaat JJ, Ohlsson C, Moed M, Verlinden VJ, Mellström D, van der Geest JN, Karlsson M, Hernandez D, McWhirter R, Liu Y, Thomson R, Tranah GJ, Uitterlinden AG, Weir DR, Zhao W, Starr JM, Johnson AD, Ikram MA, Bennett DA, Cummings SR, Deary IJ, Harris TB, Kardia SLR, Mosley TH, Srikanth VK, Windham BG, Newman AB, Walston JD, Davies G, Evans DS, Slagboom EP, Ferrucci L, Kiel DP, Murabito JM, Atzmon G. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY) 2017; 9:209-246. [PMID: 28077804 PMCID: PMC5310665 DOI: 10.18632/aging.101151] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Accepted: 12/26/2016] [Indexed: 01/08/2023]
Abstract
Emerging evidence suggests that the basis for variation in late-life mobility is attributable, in part, to genetic factors, which may become increasingly important with age. Our objective was to systematically assess the contribution of genetic variation to gait speed in older individuals. We conducted a meta-analysis of gait speed GWASs in 31,478 older adults from 17 cohorts of the CHARGE consortium, and validated our results in 2,588 older adults from 4 independent studies. We followed our initial discoveries with network and eQTL analysis of candidate signals in tissues. The meta-analysis resulted in a list of 536 suggestive genome wide significant SNPs in or near 69 genes. Further interrogation with Pathway Analysis placed gait speed as a polygenic complex trait in five major networks. Subsequent eQTL analysis revealed several SNPs significantly associated with the expression of PRSS16, WDSUB1 and PTPRT, which in addition to the meta-analysis and pathway suggested that genetic effects on gait speed may occur through synaptic function and neuronal development pathways. No genome-wide significant signals for gait speed were identified from this moderately large sample of older adults, suggesting that more refined physical function phenotypes will be needed to identify the genetic basis of gait speed in aging.
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Affiliation(s)
- Dan Ben-Avraham
- Department of Medicine and Genetics Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - David Karasik
- Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02131, USA
- Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, Israel
| | - Joe Verghese
- Integrated Divisions of Cognitive & Motor Aging (Neurology) and Geriatrics (Medicine), Montefiore-Einstein Center for the Aging Brain, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Kathryn L. Lunetta
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - John D. Eicher
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
- Population Sciences Branch, National Heart Lung and Blood Institute, Framingham, MA 01702, USA
| | - Rotem Vered
- Psychology Department, University of Haifa, Haifa, Israel
| | - Joris Deelen
- Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
- Max Planck Institute for Biology of Ageing, Köln, Germany
| | - Alice M. Arnold
- Department of Biostatistics, University of Washington, Seattle, WA 98115, USA
| | - Aron S. Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60614, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore MD 21224, USA
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Maria Nethander
- Bioinformatics Core Facility, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Myriam Fornage
- The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Hieab H. Adams
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
| | - Amy M. Matteini
- Division of Geriatric Medicine, Johns Hopkins Medical Institutes, Baltimore, MD 21224, USA
| | - Michele L. Callisaya
- Medicine, Peninsula Health, Peninsula Clinical School, Central Clinical School, Frankston, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Albert V. Smith
- Icelandic Heart Association, Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60614, USA
| | - Philip L. De Jager
- Broad Institute of Harvard and MIT, Cambridge, Harvard Medical School, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Denis A. Evans
- Rush Institute for Healthy Aging and Department of Internal Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Alison Pattie
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Janie Corley
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Neeta Parimi
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Stephen T. Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Marian Beekman
- Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Danielle Gutman
- Department of Human Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
| | - Lital Sharvit
- Department of Human Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
| | - Simon P. Mooijaart
- Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherland
| | - David C. Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Jeanine J. Houwing-Duistermaat
- Genetical Statistics, Leiden University Medical Center, Leiden, Netherland. Department of Statistics, University of Leeds, Leeds, UK
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska, Academy, University of Gothenburg, Gothenburg, Sweden
| | - Matthijs Moed
- Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Dan Mellström
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska, Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Magnus Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD 20892, USA
| | - Rebekah McWhirter
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC 27109, USA
| | - Russell Thomson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- School of Computing, Engineering and Mathematics, University of Western Sydney, Sydney, Australia
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Andre G. Uitterlinden
- Department of Internal Medicine, Erasmus MC, and Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Andrew D. Johnson
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
- Population Sciences Branch, National Heart Lung and Blood Institute, Framingham, MA 01702, USA
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
| | - David A. Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60614, USA
| | - Steven R. Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Ian J. Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Thomas H. Mosley
- University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Velandai K. Srikanth
- Medicine, Peninsula Health, Peninsula Clinical School, Central Clinical School, Frankston, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | | | - Ann B. Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Jeremy D. Walston
- Division of Geriatric Medicine, Johns Hopkins Medical Institutes, Baltimore, MD 21224, USA
| | - Gail Davies
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Eline P. Slagboom
- Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore MD 21224, USA
| | - Douglas P. Kiel
- Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02131, USA
- Broad Institute of Harvard and MIT, Boston, MA 02131, USA
| | - Joanne M. Murabito
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Gil Atzmon
- Department of Medicine and Genetics Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Department of Human Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
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38
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Genetic architecture differences between pediatric and adult-onset inflammatory bowel diseases in the Polish population. Sci Rep 2016; 6:39831. [PMID: 28008999 PMCID: PMC5180213 DOI: 10.1038/srep39831] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 11/29/2016] [Indexed: 12/15/2022] Open
Abstract
Most inflammatory bowel diseases (IBDs) are classic complex disorders represented by common alleles. Here we aimed to define the genetic architecture of pediatric and adult-onset IBDs for the Polish population. A total of 1495 patients were recruited, including 761 patients with Crohn’s disease (CD; 424 pediatric), 734 patients with ulcerative colitis (UC; 390 pediatric), and 934 healthy controls. Allelotyping employed a pooled-DNA genome-wide association study (GWAS) and was validated by individual genotyping. Whole exome sequencing (WES) was performed on 44 IBD patients diagnosed before 6 years of age, 45 patients diagnosed after 40 years of age, and 18 healthy controls. Altogether, out of 88 selected SNPs, 31 SNPs were replicated for association with IBD. A novel BRD2 (rs1049526) association reached significance of P = 5.2 × 10−11 and odds ratio (OR) = 2.43. Twenty SNPs were shared between pediatric and adult patients; 1 and 7 were unique to adult-onset and pediatric-onset IBD, respectively. WES identified numerous rare and potentially deleterious variants in IBD-associated or innate immunity-associated genes. Deleterious alleles in both groups were over-represented among rare variants in affected children. Our GWAS revealed differences in the polygenic architecture of pediatric- and adult-onset IBD. A significant accumulation of rare and deleterious variants in affected children suggests a contribution by yet unexplained genetic components.
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39
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Multiple genes, especially immune-regulating genes, contribute to disease susceptibility in systemic sclerosis. Curr Opin Rheumatol 2016; 28:595-605. [DOI: 10.1097/bor.0000000000000334] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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40
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Chairta P, Nicolaou P, Christodoulou K. Genomic and genetic studies of systemic sclerosis: A systematic review. Hum Immunol 2016; 78:153-165. [PMID: 27984087 DOI: 10.1016/j.humimm.2016.10.017] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 10/27/2016] [Accepted: 10/27/2016] [Indexed: 12/12/2022]
Abstract
Systemic sclerosis is an autoimmune rheumatic disease characterised by fibrosis, vasculopathy and inflammation. The exact aetiology of SSc remains unknown but evidences show that various genetic factors may be involved. This review aimed to assess HLA alleles/non-HLA polymorphisms, microsatellites and chromosomal abnormalities that have thus far been associated with SSc. PubMed, Embase and Scopus databases were searched up to July 29, 2015 using a combination of search-terms. Articles retrieved were evaluated based on set exclusion and inclusion criteria. A total of 150 publications passed the filters. HLA and non-HLA studies showed that particular alleles in the HLA-DRB1, HLA-DQB1, HLA-DQA1, HLA-DPB1 genes and variants in STAT4, IRF5 and CD247 are frequently associated with SSc. Non-HLA genes analysis was performed using the PANTHER and STRING10 databases. PANTHER classification revealed that inflammation mediated by chemokine and cytokine, interleukin and integrin signalling pathways are among the common extracted pathways associated with SSc. STRING10 analysis showed that NFKB1, CSF3R, STAT4, IFNG, PRL and ILs are the main "hubs" of interaction network of the non-HLA genes associated with SSc. This study gathers data of valid genetic factors associated with SSc and discusses the possible interactions of implicated molecules.
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Affiliation(s)
- Paraskevi Chairta
- Neurogenetics Department, The Cyprus Institute of Neurology and Genetics, Nicosia 2370, Cyprus; Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia 2370, Cyprus
| | - Paschalis Nicolaou
- Neurogenetics Department, The Cyprus Institute of Neurology and Genetics, Nicosia 2370, Cyprus; Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia 2370, Cyprus
| | - Kyproula Christodoulou
- Neurogenetics Department, The Cyprus Institute of Neurology and Genetics, Nicosia 2370, Cyprus; Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia 2370, Cyprus.
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41
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Lee JS, Park JK, Kim HJ, Lee HK, Song YW, Lee EB. Negatively-charged amino acids at the peptide-binding pocket of HLA-DPB1 alleles are associated with susceptibility to anti-topoisomerase I-positive systemic sclerosis. Hum Immunol 2016; 77:550-4. [PMID: 27208855 DOI: 10.1016/j.humimm.2016.05.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 04/19/2016] [Accepted: 05/17/2016] [Indexed: 01/07/2023]
Abstract
We investigated shared characteristics of amino acid sequences in the at risk HLA-DPB1 alleles in systemic sclerosis (SSc). Amino acid sequences and their structural features of HLA-DP molecules in 127 Korean SSc patients and 548 healthy Korean controls were analyzed with a focus on known HLA-DP binding motifs. The binding grooves containing more negatively-charged triplets (NCT) had higher odds ratios of anti-topoisomerase I antibody (ATA)-positive SSc. In particular, the co-existence of a NCT at position 82-85 and more than one additional NCT were critical for increased risk of ATA-positive SSc. Molecular dynamic simulations showed that the model peptide with positive charge from topoisomerase I fits more closely into HLA-DP alleles possessing more NCTs. ATA-positive SSc patients share NCTs at the peptide-binding groove of HLA-DPB1 molecules.
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Affiliation(s)
- Jeong Seok Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jin Kyun Park
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | | | - Hyung Ki Lee
- Dong-A Pharmaceutical Co, Seoul, Republic of Korea
| | - Yeong Wook Song
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Eun Bong Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
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42
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Zhang CE, Li Y, Wang ZX, Gao JP, Zhang XG, Zuo XB, Sheng YJ, Chen G, Sun LD, Zhang XJ, Xu JH, Yang S. Variation at HLA-DPB1 is associated with dermatomyositis in Chinese population. J Dermatol 2016; 43:1307-1313. [PMID: 27153935 DOI: 10.1111/1346-8138.13397] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2015] [Accepted: 02/27/2016] [Indexed: 12/15/2022]
Abstract
Dermatomyositis (DM) is a polygenic disorder characterized by inflammation of skeletal muscle and skin. To date, the exact etiopathogenesis of DM remains elusive. To explore the genetic basis of DM, we conducted genome-wide genotyping analysis of 127 patients and 1566 healthy controls by Illumina Human OmniZhongHua-8 BeadChips in the Chinese Han population. We investigated whether the three SNP (rs7750458, rs9501251 and rs9500928) at 6p21.32 in the HLA-DPB1 gene were significantly associated with DM (P < 5 × 10-8 ) and identified two susceptibility loci at 7q34 (PIP, rs9986765, P = 7.45 × 10-7 , odds ratio [OR] = 2.71) and 10q24.2 (CPN1, rs3750716, P = 9.04 × 10-7 , OR = 4.39) with suggestive evidence. We imputed 6674 classical human leukocyte antigen (HLA) alleles, amino acids and SNP from the discovery dataset, and stepwise analysis revealed that HLA-DPB1*17 in class II HLA genes were significantly associated with DM susceptibility. This study represents the first genome-wide association study (GWAS) of DM in the Chinese Han population. For the first time, HLA-DPB1 was found to be associated with DM in this population. Moreover, we identified two novel suggestive susceptibility loci (PIP and CPN1) and confirmed four previously reported genes (DMB, DQA1, DQB1 and DRB1) having potential associations with DM in the Chinese Han population. Our GWAS results in this population should provide important information regarding the genetic etiopathogenesis of DM and facilitate the development of new therapies for the treatment of DM and the prevention of DM progression.
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Affiliation(s)
- Chang-E Zhang
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Department of Dermatology, Zhengzhou Children's Hospital, Henan, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China
| | - Yang Li
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China
| | - Zai-Xing Wang
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China
| | - Jin-Ping Gao
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China
| | - Xiao-Guang Zhang
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China
| | - Xian-Bo Zuo
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China
| | - Yu-Jun Sheng
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China
| | - Gang Chen
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China
| | - Liang-Dan Sun
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China
| | - Xue-Jun Zhang
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China.,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China.,Department of Dermatology, No. 2 Hospital, Anhui Medical University, Hefei, China.,Department of Dermatology, Institutes of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jin-Hua Xu
- State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China. .,Department of Dermatology, Institutes of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
| | - Sen Yang
- Institute of Dermatology, Department of Dermatology and Venerology, No. 1 Hospital, Anhui Medical University, Hefei, China. .,Collaborative Innovation Center of Complex and Severe Skin Disease, Anhui Medical University, Hefei, China. .,State Key Lab Incubation of Dermatology, Ministry of Science and Technology, Hefei, China. .,Department of Dermatology, No. 2 Hospital, Anhui Medical University, Hefei, China.
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43
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Murdaca G, Contatore M, Gulli R, Mandich P, Puppo F. Genetic factors and systemic sclerosis. Autoimmun Rev 2016; 15:427-32. [DOI: 10.1016/j.autrev.2016.01.016] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Accepted: 01/22/2016] [Indexed: 12/12/2022]
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44
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Abstract
Rheumatology was first recognized as a distinct clinical specialty in Korea just 35 years ago. Young professors who were trained in rheumatology in the USA and afterwards returned to Korea contributed substantially to advances in rheumatology clinical practice, educational programmes and research activities. They also established the Korean Rheumatism Association, later renamed the Korean College of Rheumatology. These young rheumatologists had a major role not only in raising the level of clinical and scientific activities, but also in promoting academic exchanges around the Asia-Pacific region, the USA and Europe. Subsequently, Korea's rapid economic growth and high education level enabled rheumatology to advance rapidly. Today, continued efforts are required to raise the standard of clinical and basic research, to optimize clinical practice with regard to new biologic agents, to exploit personalized and targeted therapies for the rheumatic diseases, and to meet the medical demands of Korea's ageing society.
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Affiliation(s)
- Ho-Youn Kim
- Departments of Rheumatology, Catholic University of Korea and Konkuk University Medical Center, 120-1 Neungdong-ro, Hwayang-dong, Guangjin-gu, Seoul 143-729, Korea
| | - Yeong-Wook Song
- Department of Internal Medicine &Department of Molecular Medicine and Biopharmaceutical Sciences, Medical Research Center, Graduate School of Convergence Science &Technology and College of Medicine, Seoul National University, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea
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45
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Misra DP, Chowdhury AC, Phatak S, Agarwal V. Scleroderma: Not an orphan disease any more. World J Rheumatol 2015; 5:131-141. [DOI: 10.5499/wjr.v5.i3.131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 05/24/2015] [Accepted: 07/14/2015] [Indexed: 02/06/2023] Open
Abstract
Scleroderma (or systemic sclerosis) is a rare disease associated with significant morbidity and mortality. Although previously thought to have a uniformly poor prognosis, the outlook has changed in recent years. We review recent insights into the pathogenesis, clinical features, assessment and management of scleroderma.
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46
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Bossini-Castillo L, López-Isac E, Martín J. Immunogenetics of systemic sclerosis: Defining heritability, functional variants and shared-autoimmunity pathways. J Autoimmun 2015. [PMID: 26212856 DOI: 10.1016/j.jaut.2015.07.005] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Systemic sclerosis (SSc) is a clinically heterogeneous connective tissue disorder of complex etiology. The development of large-scale genetic studies, such as genome-wide association studies (GWASs) or the Immunochip platform, has achieved remarkable progress in the knowledge of the genetic background of SSc. Herein, we provide an updated picture SSc genetic factors, offering an insight into their role in pathogenic mechanisms that characterize the disease. We review the most recent findings in the HLA region and the well-established non-HLA loci. Up to 18 non-HLA risk factors fulfilled the selected criteria and they were classified according to their role in the innate or adaptive immune response, in apoptosis, autophagy or fibrosis. Additionally, SSc heritability has remained as a controversial question since twin studies provided low SSc heritability estimates. However, we have recalculated the lower bond of narrow sense SSc heritability using GWAS data. Remarkably, our results suggest a greater influence of genetics on SSc than previously reported. Furthermore, we also offer a functional classification of SSc-associated SNPs and their proxies, based on annotated data, to provide clues for the identification of causal variants in these loci. Finally, we explore the genetic overlap between SSc and other autoimmune diseases (ADs). The vast majority of SSc risk loci are shared with at least one additional AD, being the overlap between SSc and systemic lupus erythematous the largest. Nevertheless, we found that an important portion of SSc risk factors are also common to rheumatoid arthritis or primary biliary cirrhosis. Considering all these evidences, we are confident that future research will be successful in understanding the relevant altered pathways in SSc and in identifying new biomarkers and therapeutic targets for the disease.
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Affiliation(s)
- Lara Bossini-Castillo
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Parque Tecnológico de La Salud (PTS), Granada, Spain.
| | - Elena López-Isac
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Parque Tecnológico de La Salud (PTS), Granada, Spain
| | - Javier Martín
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Parque Tecnológico de La Salud (PTS), Granada, Spain.
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47
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Pattanaik D, Brown M, Postlethwaite BC, Postlethwaite AE. Pathogenesis of Systemic Sclerosis. Front Immunol 2015; 6:272. [PMID: 26106387 PMCID: PMC4459100 DOI: 10.3389/fimmu.2015.00272] [Citation(s) in RCA: 253] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2014] [Accepted: 05/16/2015] [Indexed: 01/04/2023] Open
Abstract
Systemic scleroderma (SSc) is one of the most complex systemic autoimmune diseases. It targets the vasculature, connective tissue-producing cells (namely fibroblasts/myofibroblasts), and components of the innate and adaptive immune systems. Clinical and pathologic manifestations of SSc are the result of: (1) innate/adaptive immune system abnormalities leading to production of autoantibodies and cell-mediated autoimmunity, (2) microvascular endothelial cell/small vessel fibroproliferative vasculopathy, and (3) fibroblast dysfunction generating excessive accumulation of collagen and other matrix components in skin and internal organs. All three of these processes interact and affect each other. The disease is heterogeneous in its clinical presentation that likely reflects different genetic or triggering factor (i.e., infection or environmental toxin) influences on the immune system, vasculature, and connective tissue cells. The roles played by other ubiquitous molecular entities (such as lysophospholipids, endocannabinoids, and their diverse receptors and vitamin D) in influencing the immune system, vasculature, and connective tissue cells are just beginning to be realized and studied and may provide insights into new therapeutic approaches to treat SSc.
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Affiliation(s)
- Debendra Pattanaik
- Department of Medicine, Division of Connective Tissue Diseases, The University of Tennessee Health Science Center , Memphis, TN , USA ; Department of Veterans Affairs Medical Center , Memphis, TN , USA
| | - Monica Brown
- Section of Pediatric Rheumatology, Department of Pediatrics, The University of Tennessee Health Science Center , Memphis, TN , USA
| | - Bradley C Postlethwaite
- Department of Medicine, Division of Connective Tissue Diseases, The University of Tennessee Health Science Center , Memphis, TN , USA
| | - Arnold E Postlethwaite
- Department of Medicine, Division of Connective Tissue Diseases, The University of Tennessee Health Science Center , Memphis, TN , USA ; Department of Veterans Affairs Medical Center , Memphis, TN , USA
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48
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Genetics of systemic sclerosis. Semin Immunopathol 2015; 37:443-51. [DOI: 10.1007/s00281-015-0499-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 05/07/2015] [Indexed: 12/19/2022]
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49
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Wu Z, Wu Q, Xu J, Chen S, Sun F, Li P, Bai Y, Zheng W, Chen H, Zhang F, Li Y. HLA-DPB1 variant rs3117242 is associated with anti-neutrophil cytoplasmic antibody-associated vasculitides in a Han Chinese population. Int J Rheum Dis 2015; 20:1009-1015. [PMID: 26014903 DOI: 10.1111/1756-185x.12561] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Ziyan Wu
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Qingjun Wu
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Juanjuan Xu
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Si Chen
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Fei Sun
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Ping Li
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Yina Bai
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Wenjie Zheng
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Hua Chen
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Fengchun Zhang
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
| | - Yongzhe Li
- Department of Rheumatology and Clinical Immunology; Peking Union Medical College Hospital; Chinese Academy of Medical Sciences and Peking Union Medical College; Key Laboratory of Rheumatology and Clinical Immunology; Ministry of Education; Beijing China
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50
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Wang J, Yi L, Guo X, Liu M, Li H, Zou H, Gu Y, Tu W, Guo G, Yang L, Lai S, He D, Zhou X. Association of the IRF5 SNP rs2004640 with systemic sclerosis in Han Chinese. Int J Immunopathol Pharmacol 2015; 27:635-8. [PMID: 25572744 DOI: 10.1177/039463201402700420] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Systemic sclerosis (SSc) is a complex disease involving multiple genetic factors. An association of the IRF5 polymorphism with SSc was reported in Caucasian populations of Europe and North America, as well as in Japanese populations. The present study aimed to examine whether the SSc-associated SNP rs2004640 of IRF5 gene confer susceptibility to SSc and clinical features of SSc in a Han Chinese population. A Han Chinese cohort consisting of 424 SSc patients and 502 healthy controls were examined in the study. TaqMan assays were carried out to examine the SNP. Exact p-values were obtained (Fishers test) from 2x2 tables of allele counts and disease status. SSc patients of Han Chinese showed increased homozygous TT genotype of the rs2004640 (p = 0.027, odds ratio (OR) = 1.4, CI =1.03-1.93), which was significantly associated with pulmonary fibrosis of SSc and ATA-positive SSc of Han Chinese. The lcSSc and ACA-positive SSc of Han Chinese appeared also in association with the increased T allele frequency. However, the Chinese dcSSc did not show any association with the rs2004640. The results were consistent with previous reports in other ethnic populations in supporting the notion that polymorphisms of IRF5 may play an important role in susceptibility to SSc.
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Affiliation(s)
- J Wang
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - L Yi
- Division of Rheumatology and Clinical Immunogenetics, University of Texas Medical School at Houston, TX , USA
| | - X Guo
- Division of Rheumatology and Clinical Immunogenetics, University of Texas Medical School at Houston, TX , USA
| | - M Liu
- Division of Rheumatology and Clinical Immunogenetics, University of Texas Medical School at Houston, TX , USA
| | - H Li
- Division of Rheumatology and Clinical Immunogenetics, University of Texas Medical School at Houston, TX , USA
| | - H Zou
- Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
| | - Y Gu
- Gansu Provincial Hospital, Lanzhou, China
| | - W Tu
- Shanghai Traditional Chinese Medicine-Integrated Hospital, Shanghai, China
| | - G Guo
- Yiling Hospital, Shijiazhuang, China
| | - L Yang
- Teaching Hospital of Chengdu University of TCM, Chengdu, China
| | - S Lai
- Baylor College of Medicine and Houston VA Hospital, Houston, USA
| | - D He
- Institute of Arthritis Research, Shanghai Academy of Chinese Medical Sciences, Shanghai Guanghua Integrative Medicine Hospital, Shanghai, China
| | - X Zhou
- Division of Rheumatology and Clinical Immunogenetics, University of Texas Medical School at Houston, TX , USA
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