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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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2
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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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3
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Sterenborg RBTM, Steinbrenner I, Li Y, Bujnis MN, Naito T, Marouli E, Galesloot TE, Babajide O, Andreasen L, Astrup A, Åsvold BO, Bandinelli S, Beekman M, Beilby JP, Bork-Jensen J, Boutin T, Brody JA, Brown SJ, Brumpton B, Campbell PJ, Cappola AR, Ceresini G, Chaker L, Chasman DI, Concas MP, Coutinho de Almeida R, Cross SM, Cucca F, Deary IJ, Kjaergaard AD, Echouffo Tcheugui JB, Ellervik C, Eriksson JG, Ferrucci L, Freudenberg J, Fuchsberger C, Gieger C, Giulianini F, Gögele M, Graham SE, Grarup N, Gunjača I, Hansen T, Harding BN, Harris SE, Haunsø S, Hayward C, Hui J, Ittermann T, Jukema JW, Kajantie E, Kanters JK, Kårhus LL, Kiemeney LALM, Kloppenburg M, Kühnel B, Lahti J, Langenberg C, Lapauw B, Leese G, Li S, Liewald DCM, Linneberg A, Lominchar JVT, Luan J, Martin NG, Matana A, Meima ME, Meitinger T, Meulenbelt I, Mitchell BD, Møllehave LT, Mora S, Naitza S, Nauck M, Netea-Maier RT, Noordam R, Nursyifa C, Okada Y, Onano S, Papadopoulou A, Palmer CNA, Pattaro C, Pedersen O, Peters A, Pietzner M, Polašek O, Pramstaller PP, Psaty BM, Punda A, Ray D, Redmond P, Richards JB, Ridker PM, Russ TC, Ryan KA, Olesen MS, Schultheiss UT, Selvin E, Siddiqui MK, Sidore C, Slagboom PE, Sørensen TIA, Soto-Pedre E, Spector TD, Spedicati B, Srinivasan S, Starr JM, Stott DJ, Tanaka T, Torlak V, Trompet S, Tuhkanen J, Uitterlinden AG, van den Akker EB, van den Eynde T, van der Klauw MM, van Heemst D, Verroken C, Visser WE, Vojinovic D, Völzke H, Waldenberger M, Walsh JP, Wareham NJ, Weiss S, Willer CJ, Wilson SG, Wolffenbuttel BHR, Wouters HJCM, Wright MJ, Yang Q, Zemunik T, Zhou W, Zhu G, Zöllner S, Smit JWA, Peeters RP, Köttgen A, Teumer A, Medici M. Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications. Nat Commun 2024; 15:888. [PMID: 38291025 PMCID: PMC10828500 DOI: 10.1038/s41467-024-44701-9] [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: 03/07/2023] [Accepted: 12/29/2023] [Indexed: 02/01/2024] Open
Abstract
To date only a fraction of the genetic footprint of thyroid function has been clarified. We report a genome-wide association study meta-analysis of thyroid function in up to 271,040 individuals of European ancestry, including reference range thyrotropin (TSH), free thyroxine (FT4), free and total triiodothyronine (T3), proxies for metabolism (T3/FT4 ratio) as well as dichotomized high and low TSH levels. We revealed 259 independent significant associations for TSH (61% novel), 85 for FT4 (67% novel), and 62 novel signals for the T3 related traits. The loci explained 14.1%, 6.0%, 9.5% and 1.1% of the total variation in TSH, FT4, total T3 and free T3 concentrations, respectively. Genetic correlations indicate that TSH associated loci reflect the thyroid function determined by free T3, whereas the FT4 associations represent the thyroid hormone metabolism. Polygenic risk score and Mendelian randomization analyses showed the effects of genetically determined variation in thyroid function on various clinical outcomes, including cardiovascular risk factors and diseases, autoimmune diseases, and cancer. In conclusion, our results improve the understanding of thyroid hormone physiology and highlight the pleiotropic effects of thyroid function on various diseases.
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Affiliation(s)
- Rosalie B T M Sterenborg
- Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, Nijmegen, The Netherlands
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Inga Steinbrenner
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Yong Li
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | | | - Tatsuhiko Naito
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Eirini Marouli
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
- Digital Environment Research Institute, Queen Mary University of London, London, UK
| | - Tessel E Galesloot
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Oladapo Babajide
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Laura Andreasen
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Arne Astrup
- Department of Obesity and Nutritional Sciences, The Novo Nordisk Foundation, Hellerup, Denmark
| | - Bjørn Olav Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | | | - Marian Beekman
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - John P Beilby
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, 6009, Australia
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thibaud Boutin
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Suzanne J Brown
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, 7600, Norway
| | - Purdey J Campbell
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
| | - Anne R Cappola
- Division of Endocrinology, Diabetes, and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
| | - Graziano Ceresini
- Oncological Endocrinology, University of Parma, Parma, Italy
- Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Layal Chaker
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, USA
| | - Maria Pina Concas
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
| | - Rodrigo Coutinho de Almeida
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Simone M Cross
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, 09042, Monserrato (CA), Italy
- Università di Sassari, Dipartimento di Scienze Biomediche, V.le San Pietro, 07100, Sassari (SS), Italy
| | - Ian J Deary
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, EH8 9JZ, Edinburgh, United Kingdom
| | - Alisa Devedzic Kjaergaard
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Palle Juul-Jensens Blvd. 11, Entrance A, 8200, Aarhus, Denmark
| | - Justin B Echouffo Tcheugui
- Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Christina Ellervik
- Harvard Medical School, Boston, USA
- Faculty of Medical Science, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Laboratory Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Clinical Biochemistry, Zealand University Hospital, Køge, Denmark
| | - Johan G Eriksson
- Department of General Practice and Primary health Care, University of Helsinki, Helsinki, Finland
- National University Singapore, Yong Loo Lin School of Medicine, Department of Obstetrics and Gynecology, Singapore, Singapore
| | - Luigi Ferrucci
- Longitudinal Study Section, National Institute on Aging, Baltimore, MD, USA
| | | | - Christian Fuchsberger
- Institute for Biomedicine (affiliated with the University of Lübeck), Eurac Research, Bolzano, Italy
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, USA
| | - Martin Gögele
- Institute for Biomedicine (affiliated with the University of Lübeck), Eurac Research, Bolzano, Italy
| | - Sarah E Graham
- Department of Internal Medicine, Cardiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ivana Gunjača
- Department of Medical Biology, University of Split, School of Medicine, Split, Croatia
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Barbara N Harding
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Barcelona Institute for Global Health, Barcelona, Spain
| | - Sarah E Harris
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, EH8 9JZ, Edinburgh, United Kingdom
| | - Stig Haunsø
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Jennie Hui
- Pathwest Laboratory Medicine WA, Nedlands, WA, 6009, Australia
- School of Population and Global Health, The University of Western Australia, Crawley, WA, 6009, Australia
| | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Netherlands Heart Institute, Utrecht, the Netherlands
| | - Eero Kajantie
- Finnish Institute for Health and Welfare, Population Health Unit, Helsinki and Oulu, Oulu, Finland
- Clinical Medicine Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jørgen K Kanters
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center of Physiological Research, University of California San Francisco, San Francisco, USA
| | - Line L Kårhus
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Lambertus A L M Kiemeney
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Margreet Kloppenburg
- Departments of Rheumatology and Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Brigitte Kühnel
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
- Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
| | - Bruno Lapauw
- Department of Endocrinology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
| | | | - Shuo Li
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - David C M Liewald
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, EH8 9JZ, Edinburgh, United Kingdom
| | - Allan Linneberg
- Center of Physiological Research, University of California San Francisco, San Francisco, USA
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jesus V T Lominchar
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | | | - Antonela Matana
- Department of Medical Biology, University of Split, School of Medicine, Split, Croatia
| | - Marcel E Meima
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Thomas Meitinger
- Institute for Human Genetics, Technical University of Munich, Munich, Germany
| | - Ingrid Meulenbelt
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Braxton D Mitchell
- University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition, Baltimore, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, 21201, USA
| | - Line T Møllehave
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Samia Mora
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, USA
| | - Silvia Naitza
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, 09042, Monserrato (CA), Italy
| | - Matthias Nauck
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Romana T Netea-Maier
- Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Casia Nursyifa
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Japan
| | - Stefano Onano
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, 09042, Monserrato (CA), Italy
| | - Areti Papadopoulou
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Colin N A Palmer
- Division of Population Health Genomics, School of Medicine, University of Dundee, DD19SY, Dundee, UK
| | - Cristian Pattaro
- Institute for Biomedicine (affiliated with the University of Lübeck), Eurac Research, Bolzano, Italy
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Metabolic Research, Herlev-Gentofte University Hospital, Copenhagen, Denmark
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Maik Pietzner
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
- Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
| | - Ozren Polašek
- Department of Public Health, University of Split, School of Medicine, Split, Croatia
- Algebra University College, Zagreb, Croatia
| | - Peter P Pramstaller
- Institute for Biomedicine (affiliated with the University of Lübeck), Eurac Research, Bolzano, Italy
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Departments of Epidemiology and Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Ante Punda
- Department of Nuclear Medicine, University Hospital Split, Split, Croatia
| | - Debashree Ray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Paul Redmond
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, EH8 9JZ, Edinburgh, United Kingdom
| | - J Brent Richards
- Lady Davis Institute, Jewish General Hospital, Montreal, Quebec, H3T 1E2, Canada
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, USA
| | - Tom C Russ
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, EH8 9JZ, Edinburgh, United Kingdom
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom
| | - Kathleen A Ryan
- University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition, Baltimore, USA
| | - Morten Salling Olesen
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV - Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Moneeza K Siddiqui
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, 09042, Monserrato (CA), Italy
| | - P Eline Slagboom
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Enrique Soto-Pedre
- Division of Population Health Genomics, School of Medicine, University of Dundee, DD19SY, Dundee, UK
| | - Tim D Spector
- The Department of Twin Research & Genetic Epidemiology, King's College London, St Thomas' Campus, Lambeth Palace Road, London, SE1 7EH, UK
| | - Beatrice Spedicati
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Sundararajan Srinivasan
- Division of Population Health Genomics, School of Medicine, University of Dundee, DD19SY, Dundee, UK
| | - John M Starr
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Toshiko Tanaka
- Longitudinal Study Section, National Institute on Aging, Baltimore, MD, USA
| | - Vesela Torlak
- Department of Nuclear Medicine, University Hospital Split, Split, Croatia
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Johanna Tuhkanen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Erik B van den Akker
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, The Netherlands
- Department of Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, The Netherlands
| | - Tibbert van den Eynde
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
| | - Melanie M van der Klauw
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Charlotte Verroken
- Department of Endocrinology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium
| | - W Edward Visser
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Dina Vojinovic
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - John P Walsh
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
- Medical School, The University of Western Australia, Crawley, WA, 6009, Australia
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Stefan Weiss
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Cristen J Willer
- Department of Internal Medicine, Cardiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Scott G Wilson
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, 6009, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
- The Department of Twin Research & Genetic Epidemiology, King's College London, St Thomas' Campus, Lambeth Palace Road, London, SE1 7EH, UK
| | - Bruce H R Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Hanneke J C M Wouters
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Qiong Yang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Tatijana Zemunik
- Department of Medical Biology, University of Split, School of Medicine, Split, Croatia
- Department of Nuclear Medicine, University Hospital Split, Split, Croatia
| | - Wei Zhou
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Sebastian Zöllner
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Johannes W A Smit
- Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Robin P Peeters
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
- CIBSS - Centre for Integrative Biological Signalling Studies, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany.
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland.
| | - Marco Medici
- Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, Nijmegen, The Netherlands.
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
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Joseph J, Mathew J, Alexander J. Scaffold Proteins in Autoimmune Disorders. Curr Rheumatol Rev 2024; 20:14-26. [PMID: 37670692 DOI: 10.2174/1573397119666230904151024] [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: 04/03/2023] [Revised: 06/26/2023] [Accepted: 08/10/2023] [Indexed: 09/07/2023]
Abstract
Cells transmit information to the external environment and within themselves through signaling molecules that modulate cellular activities. Aberrant cell signaling disturbs cellular homeostasis causing a number of different diseases, including autoimmunity. Scaffold proteins, as the name suggests, serve as the anchor for binding and stabilizing signaling proteins at a particular locale, allowing both intra and intercellular signal amplification and effective signal transmission. Scaffold proteins play a critical role in the functioning of tight junctions present at the intersection of two cells. In addition, they also participate in cleavage formation during cytokinesis, and in the organization of neural synapses, and modulate receptor management outcomes. In autoimmune settings such as lupus, scaffold proteins can lower the cell activation threshold resulting in uncontrolled signaling and hyperactivity. Scaffold proteins, through their binding domains, mediate protein- protein interaction and play numerous roles in cellular communication and homeostasis. This review presents an overview of scaffold proteins, their influence on the different signaling pathways, and their role in the pathogenesis of autoimmune and auto inflammatory diseases. Since these proteins participate in many roles and interact with several other signaling pathways, it is necessary to gain a thorough understanding of these proteins and their nuances to facilitate effective target identification and therapeutic design for the treatment of autoimmune disorders.
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Affiliation(s)
- Josna Joseph
- Department of Clinical Immunology & Rheumatology, CMC Vellore, Tamil Nadu, India
| | - John Mathew
- Department of Clinical Immunology & Rheumatology, CMC Vellore, Tamil Nadu, India
| | - Jessy Alexander
- Department of Medicine, Jacobs School of Medicine & Biomedical Sciences, University of Buffalo, New York, USA
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Carman LE, Samulevich ML, Aneskievich BJ. Repressive Control of Keratinocyte Cytoplasmic Inflammatory Signaling. Int J Mol Sci 2023; 24:11943. [PMID: 37569318 PMCID: PMC10419196 DOI: 10.3390/ijms241511943] [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: 06/23/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 08/13/2023] Open
Abstract
The overactivity of keratinocyte cytoplasmic signaling contributes to several cutaneous inflammatory and immune pathologies. An important emerging complement to proteins responsible for this overactivity is signal repression brought about by several proteins and protein complexes with the native role of limiting inflammation. The signaling repression by these proteins distinguishes them from transmembrane receptors, kinases, and inflammasomes, which drive inflammation. For these proteins, defects or deficiencies, whether naturally arising or in experimentally engineered skin inflammation models, have clearly linked them to maintaining keratinocytes in a non-activated state or returning cells to a post-inflamed state after a signaling event. Thus, together, these proteins help to resolve acute inflammatory responses or limit the development of chronic cutaneous inflammatory disease. We present here an integrated set of demonstrated or potentially inflammation-repressive proteins or protein complexes (linear ubiquitin chain assembly complex [LUBAC], cylindromatosis lysine 63 deubiquitinase [CYLD], tumor necrosis factor alpha-induced protein 3-interacting protein 1 [TNIP1], A20, and OTULIN) for a comprehensive view of cytoplasmic signaling highlighting protein players repressing inflammation as the needed counterpoints to signal activators and amplifiers. Ebb and flow of players on both sides of this inflammation equation would be of physiological advantage to allow acute response to damage or pathogens and yet guard against chronic inflammatory disease. Further investigation of the players responsible for repressing cytoplasmic signaling would be foundational to developing new chemical-entity pharmacologics to stabilize or enhance their function when clinical intervention is needed to restore balance.
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Affiliation(s)
- Liam E. Carman
- Graduate Program in Pharmacology & Toxicology, University of Connecticut, Storrs, CT 06269-3092, USA; (L.E.C.); (M.L.S.)
| | - Michael L. Samulevich
- Graduate Program in Pharmacology & Toxicology, University of Connecticut, Storrs, CT 06269-3092, USA; (L.E.C.); (M.L.S.)
| | - Brian J. Aneskievich
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Connecticut, Storrs, CT 06269-3092, USA
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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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Zhou J, Rasmussen NL, Olsvik HL, Akimov V, Hu Z, Evjen G, Kaeser-Pebernard S, Sankar DS, Roubaty C, Verlhac P, van de Beck N, Reggiori F, Abudu YP, Blagoev B, Lamark T, Johansen T, Dengjel J. TBK1 phosphorylation activates LIR-dependent degradation of the inflammation repressor TNIP1. J Cell Biol 2022; 222:213785. [PMID: 36574265 PMCID: PMC9797988 DOI: 10.1083/jcb.202108144] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 06/24/2022] [Accepted: 08/17/2022] [Indexed: 12/28/2022] Open
Abstract
Limitation of excessive inflammation due to selective degradation of pro-inflammatory proteins is one of the cytoprotective functions attributed to autophagy. In the current study, we highlight that selective autophagy also plays a vital role in promoting the establishment of a robust inflammatory response. Under inflammatory conditions, here TLR3-activation by poly(I:C) treatment, the inflammation repressor TNIP1 (TNFAIP3 interacting protein 1) is phosphorylated by Tank-binding kinase 1 (TBK1) activating an LIR motif that leads to the selective autophagy-dependent degradation of TNIP1, supporting the expression of pro-inflammatory genes and proteins. This selective autophagy efficiently reduces TNIP1 protein levels early (0-4 h) upon poly(I:C) treatment to allow efficient initiation of the inflammatory response. At 6 h, TNIP1 levels are restored due to increased transcription avoiding sustained inflammation. Thus, similarly as in cancer, autophagy may play a dual role in controlling inflammation depending on the exact state and timing of the inflammatory response.
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Affiliation(s)
- Jianwen Zhou
- https://ror.org/022fs9h90Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Nikoline Lander Rasmussen
- Autophagy Research Group, Department of Medical Biology, University of Tromsø—The Arctic University of Norway, Tromsø, Norway
| | - Hallvard Lauritz Olsvik
- Autophagy Research Group, Department of Medical Biology, University of Tromsø—The Arctic University of Norway, Tromsø, Norway
| | - Vyacheslav Akimov
- https://ror.org/03yrrjy16Department of Biochemistry and Molecular Biology, Center for Experimental BioInformatics, University of Southern Denmark, Odense, Denmark
| | - Zehan Hu
- https://ror.org/022fs9h90Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Gry Evjen
- Autophagy Research Group, Department of Medical Biology, University of Tromsø—The Arctic University of Norway, Tromsø, Norway
| | | | | | - Carole Roubaty
- https://ror.org/022fs9h90Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Pauline Verlhac
- https://ror.org/03cv38k47Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Nicole van de Beck
- https://ror.org/03cv38k47Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Fulvio Reggiori
- https://ror.org/03cv38k47Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, Netherlands,https://ror.org/01aj84f44Department of Biomedicine, Aarhus University, Aarhus, Denmark,https://ror.org/01aj84f44Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Aarhus, Denmark
| | - Yakubu Princely Abudu
- Autophagy Research Group, Department of Medical Biology, University of Tromsø—The Arctic University of Norway, Tromsø, Norway
| | - Blagoy Blagoev
- https://ror.org/03yrrjy16Department of Biochemistry and Molecular Biology, Center for Experimental BioInformatics, University of Southern Denmark, Odense, Denmark
| | - Trond Lamark
- Autophagy Research Group, Department of Medical Biology, University of Tromsø—The Arctic University of Norway, Tromsø, Norway
| | - Terje Johansen
- Autophagy Research Group, Department of Medical Biology, University of Tromsø—The Arctic University of Norway, Tromsø, Norway,Terje Johansen:
| | - Jörn Dengjel
- https://ror.org/022fs9h90Department of Biology, University of Fribourg, Fribourg, Switzerland,Correspondence to Jörn Dengjel:
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Krylov MY, Erdes SF, Konovalova NV, Varlamov DA. Polymorphism rs10499194 of the TNFA1P3 gene is not associated with a predisposition to ankylosing spondylitis in the Russian cohort of patients. RHEUMATOLOGY SCIENCE AND PRACTICE 2022. [DOI: 10.47360/1995-4484-2022-624-629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Background. Recently, numerous studies have shown that TNFAIP3 gene polymorphisms have been associated with susceptibility to certain autoimmune inflammatory diseases, including systemic lupus erythematosus, scleroderma, rheumatoid arthritis and psoriasis. However, the results of studies devoted to the study of associations between TNFAIP3 gene polymorphisms and the risk of ankylosing spondylitis (AS) are ambiguous and few.The aim of the study was to study the possible association of hs10499194 polymorphism of the TNFAIP3 gene with a predisposition to AS and its clinical phenotypes.Material and methods. The rs10499194 S/T polymorphism of the TNFA1P3 gene was studied in two hundred patients with AS (130 men and 70 women). All patients were diagnosed with AS, according to the modified New York criteria, 1984 and high activity of the disease. Demographic and clinical-serological characteristics were studied in all patients. The average age of patients was 39.4±12.6 years; the average duration of the disease was 15.0±10.6 years. Out of 200 patients, 175 (87.5%) were seropositive for HLA-B27 antigen. Extra axial arthritis was detected in 125 (62.5%) patients, 148 (74.0%) had enthesitis, 137 (68.5%) had coxitis. The polymorphism rs10499194 of the TNFAIP3 gene was studied using an allelespecific polymerase chain reaction in real time (PCR-RV) using the Synthol kit.Results. The analysis of the frequencies of genotypes and alleles did not show significant differences with the control group. Stratification by sex, age, and clinical manifestations showed an association of the CT genotype with an increased risk of AS among men (OR=2.24; p=0.010), the TT genotype and the T allele with a high risk of predisposition to the development of extra axillary peripheral arthritis (OR=3.94; p=0.019 and OR=1.64; p=0.027 respectively). The BASDAI index was statistically significantly higher in carriers of the TT genotype compared to the CT genotype (p=0.002).Conclusion. The present study confirmed the association of the genetic polymorphism rs10499194 of the TNFAIP3 gene with AS. Stratification by gender and clinical manifestations showed an association of the CT genotype with an increased risk of AS among men, the TT genotype and the T allele with a high risk of predisposition to the development of extra axillary peripheral arthritis and a high BASDAI index in carriers of the TT genotype.
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Affiliation(s)
| | - Sh. F. Erdes
- V.A. Nasonova Research Institute of Rheumatology
| | | | - D. A. Varlamov
- All-Russian Research Institute of Agricultural Biotechnology
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Ortíz-Fernández L, Martín J, Alarcón-Riquelme ME. A Summary on the Genetics of Systemic Lupus Erythematosus, Rheumatoid Arthritis, Systemic Sclerosis, and Sjögren's Syndrome. Clin Rev Allergy Immunol 2022; 64:392-411. [PMID: 35749015 DOI: 10.1007/s12016-022-08951-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2022] [Indexed: 11/03/2022]
Abstract
Systemic lupus erythematosus, systemic sclerosis, rheumatoid arthritis, and Sjögren's syndrome are four major autoimmune rheumatic diseases characterized by the presence of autoantibodies, caused by a dysregulation of the immune system that leads to a wide variety of clinical manifestations. These conditions present complex etiologies strongly influenced by multiple environmental and genetic factors. The human leukocyte antigen (HLA) region was the first locus identified to be associated and still represents the strongest susceptibility factor for each of these conditions, particularly the HLA class II genes, including DQA1, DQB1, and DRB1, but class I genes have also been associated. Over the last two decades, the genetic component of these disorders has been extensively investigated and hundreds of non-HLA risk genetic variants have been uncovered. Furthermore, it is widely accepted that autoimmune rheumatic diseases share molecular disease pathways, such as the interferon (IFN) type I pathways, which are reflected in a common genetic background. Some examples of well-known pleiotropic loci for autoimmune rheumatic diseases are the HLA region, DNASEL13, TNIP1, and IRF5, among others. The identification of the causal molecular mechanisms behind the genetic associations is still a challenge. However, recent advances have been achieved through mouse models and functional studies of the loci. Here, we provide an updated overview of the genetic architecture underlying these four autoimmune rheumatic diseases, with a special focus on the HLA region.
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Affiliation(s)
- Lourdes Ortíz-Fernández
- Institute of Parasitology and Biomedicine López-Neyra, CSIC, Parque Tecnológico de La Salud, 18016, Granada, Spain
| | - Javier Martín
- Institute of Parasitology and Biomedicine López-Neyra, CSIC, Parque Tecnológico de La Salud, 18016, Granada, Spain
| | - Marta E Alarcón-Riquelme
- GENYO. Center for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Av de la Ilustración 114, Parque Tecnológico de La Salud, 18016, Granada, Spain. .,Institute for Environmental Medicine, Karolinska Institutet, 171 77, Solna, Sweden.
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10
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Zou X, Wang R, Yang Z, Wang Q, Fu W, Huo Z, Ge F, Zhong R, Jiang Y, Li J, Xiong S, Hong W, Liang W. Family Socioeconomic Position and Lung Cancer Risk: A Meta-Analysis and a Mendelian Randomization Study. Front Public Health 2022; 10:780538. [PMID: 35734761 PMCID: PMC9207765 DOI: 10.3389/fpubh.2022.780538] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundFamily socioeconomic position (SEP) in childhood is an important factor to predict some chronic diseases. However, the association between family SEP in childhood and the risk of lung cancer is not clear.MethodsA systematic search was performed to explore their relationship. We selected education level, socioeconomic positions of parents and childhood housing conditions to represent an individual family SEP. Hazard ratios (HRs) of lung cancer specific-mortality were synthesized using a random effects model. Two-sample Mendelian randomization (MR) was carried out with summary data from published genome-wide association studies of SEP to assess the possible causal relationship of SEP and risk of lung cancer.ResultsThrough meta-analysis of 13 studies, we observed that to compared with the better SEP, the poorer SEP in the childhood was associated with the increased lung cancer risk in the adulthood (HR: 1.25, 95% CI: 1.10 to 1.43). In addition, the dose-response analysis revealed a positive correlation between the poorer SEP and increased lung cancer risk. Same conclusion was reached in MR [(education level) OR 0.50, 95% CI: 0.39 to 0.63; P < 0.001].ConclusionThis study indicates that poor family socioeconomic position in childhood is causally correlated with lung cancer risk in adulthood.Systematic Review Registrationidentifier: 159082.
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Affiliation(s)
- Xusen Zou
- South China University of Technology, School of Public Administration, Guangzhou, China
| | - Runchen Wang
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Zhao Yang
- Peking University First Hospital, Beijing, China
| | - Qixia Wang
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Wenhai Fu
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- First Clinical School, Guangzhou Medical University, Guangzhou, China
| | - Zhenyu Huo
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Fan Ge
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- First Clinical School, Guangzhou Medical University, Guangzhou, China
| | - Ran Zhong
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yu Jiang
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Jiangfu Li
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shan Xiong
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wen Hong
- South China University of Technology, School of Public Administration, Guangzhou, China
- Wen Hong
| | - Wenhua Liang
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- *Correspondence: Wenhua Liang
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11
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Zhang X, Huo C, Liu Y, Su R, Zhao Y, Li Y. Mechanism and Disease Association With a Ubiquitin Conjugating E2 Enzyme: UBE2L3. Front Immunol 2022; 13:793610. [PMID: 35265070 PMCID: PMC8899012 DOI: 10.3389/fimmu.2022.793610] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 01/24/2022] [Indexed: 12/12/2022] Open
Abstract
Ubiquitin conjugating enzyme E2 is an important component of the post-translational protein ubiquitination pathway, which mediates the transfer of activated ubiquitin to substrate proteins. UBE2L3, also called UBcH7, is one of many E2 ubiquitin conjugating enzymes that participate in the ubiquitination of many substrate proteins and regulate many signaling pathways, such as the NF-κB, GSK3β/p65, and DSB repair pathways. Studies on UBE2L3 have found that it has an abnormal expression in many diseases, mainly immune diseases, tumors and Parkinson’s disease. It can also promote the occurrence and development of these diseases. Resultantly, UBE2L3 may become an important target for some diseases. Herein, we review the structure of UBE2L3, and its mechanism in diseases, as well as diseases related to UBE2L3 and discuss the related challenges.
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Affiliation(s)
- Xiaoxia Zhang
- Department of Ophthalmology, Lanzhou University Second Hospital, Lanzhou, China.,Key Laboratory of the Digestive System Tumors of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
| | - Chengdong Huo
- Department of Ophthalmology, Lanzhou University Second Hospital, Lanzhou, China.,Key Laboratory of the Digestive System Tumors of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
| | - Yating Liu
- Key Laboratory of the Digestive System Tumors of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
| | - Ruiliang Su
- Key Laboratory of the Digestive System Tumors of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
| | - Yang Zhao
- Key Laboratory of the Digestive System Tumors of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
| | - Yumin Li
- Key Laboratory of the Digestive System Tumors of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
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12
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Azhdari S, Saghi M, Alani B, Zare Rafie M, Kenarangi T, Nasrollahzadeh Sabet M, Pakzad B, Ghorashi T, Gholami M, Soosanabadi M. Assessment of the association between TNIP1 polymorphism with clinical features and risk of systemic lupus erythematosus. Lupus 2022; 31:903-909. [PMID: 35475371 DOI: 10.1177/09612033221094706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Over the past decades, TNIP1 has been identified as a strong risk locus in multiple genome-wide association studies (GWAS), spanning multiple populations and various autoimmune diseases. TNIP1 is a polyubiquitin-binding protein that works as a physiological inhibitor of NF-κB and maintains immune homeostasis. Some studies have confirmed that TNIP1 is downregulated in autoimmune diseases such as rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). In the current study, for the first time, we evaluated the possible association between rs6889239 polymorphism in the TNIP1 gene with the risk and clinical characteristics of RA and SLE in the Iranian population. METHOD In this case-control study, 115 patients with RA, 115 patients with SLE, and 115 unrelated healthy subjects were enrolled to estimate rs6889239 genotypes with real-time PCR high resolution melting (HRM) method. RESULTS Our results demonstrated considerable associations between CC genotype and C allele of rs6889239 with augmented risk of SLE (OR for CC genotype= 2.23; 95%CI [1.175-4.307], OR for C allele= 1.84; 95%CI [1.254-2.720]). However, there was an insignificant association between genotypes and allele frequencies of rs6889239 with the occurrence risk of RA in the population under study (p > 0.05). Additionally, stratification analysis specified that the C allele in rs6889239 was linked with the incidence of renal involvement in SLE patients and lower age of onset in the RA group (p < 0.05). CONCLUSION These findings propose a significant association between TNIP1 polymorphism and higher risk of SLE and some clinical characteristics of RA and SLE.
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Affiliation(s)
- Sara Azhdari
- Department of Anatomy and Embryology, School of Medicine, 394237Bam University of Medical Sciences, Bam, Iran
| | - Mostafa Saghi
- School of Medicine, 162996AJA University of Medical Science, Tehran, Iran.,Fetal Health Research Center, Hope Generation Foundation, Tehran, Iran
| | - Behrang Alani
- Department of Applied Cell Sciences, Faculty of Medicine, 48462Kashan University of Medical Sciences, Kashan, Iran
| | - Maryam Zare Rafie
- Fetal Health Research Center, Hope Generation Foundation, Tehran, Iran.,School of Medicine, 48539Zanjan University of Medical Sciences, Zanjan, Iran
| | - Taiebe Kenarangi
- Student Research Committee, Faculty of Statistics, 48533University of Social Welfare and Rehabilitation Science, Tehran, Iran
| | | | - Bahram Pakzad
- Division of Rheumatology, Department of Internal Medicine, School of Medicine, 108867Isfahan University of Medical Science, Isfahan, Iran
| | - Tahereh Ghorashi
- Department of Medical Genetics, 154203Semnan University of Medical Sciences, Semnan, Iran
| | - Milad Gholami
- Department of Biochemistry and Genetics, School of Medicine, 48412Arak University of Medical Sciences, Arak, Iran
| | - Mohsen Soosanabadi
- Department of Medical Genetics, 154203Semnan University of Medical Sciences, Semnan, Iran
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13
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Abstract
Rho guanosine triphosphatase (GTPases), as molecular switches, have been identified to be dysregulated and involved in the pathogenesis of various rheumatic diseases, mainly including rheumatoid arthritis, osteoarthritis, systemic sclerosis, and systemic lupus erythematosus. Downstream pathways involving multiple types of cells, such as fibroblasts, chondrocytes, synoviocytes, and immunocytes are mediated by activated Rho GTPases to promote pathogenesis. Targeted therapy via inhibitors of Rho GTPases has been implicated in the treatment of rheumatic diseases, demonstrating promising effects. In this review, the effects of Rho GTPases in the pathogenesis of rheumatic diseases are summarized, and the Rho GTPase-mediated pathways are elucidated. Therapeutic strategies using Rho GTPase inhibitors in rheumatic diseases are also discussed to provide insights for further exploration of targeted therapy in preclinical studies and clinical practice. Future directions on studies of Rho GTPases in rheumatic diseases based on current understandings are provided.
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Affiliation(s)
- Ruijie Zeng
- Department of Gastroenterology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou 510080, China
- Shantou University Medical College, Shantou 515041, China
| | - Zewei Zhuo
- Department of Gastroenterology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou 510080, China
- School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, China
| | - Yujun Luo
- Department of Gastroenterology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou 510080, China
| | - Weihong Sha
- Department of Gastroenterology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou 510080, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
- School of Medicine, South China University of Technology, Guangzhou 510006, China
- Corresponding author
| | - Hao Chen
- Department of Gastroenterology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou 510080, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
- School of Medicine, South China University of Technology, Guangzhou 510006, China
- Corresponding author
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14
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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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15
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Pu W, Zhang R, Ma Y, Liu Q, Jiang S, Liu J, Zhao Y, Tu W, Guo G, Zuo X, Wang Q, Chen Y, Wu W, Zhou X, Distler JHW, Reveille JD, Zou H, Jin L, Mayes MD, Wang J. Genetic associations of non-MHC susceptibility loci with systemic sclerosis in a Han Chinese population. J Invest Dermatol 2021; 142:2039-2042.e7. [PMID: 34919939 DOI: 10.1016/j.jid.2021.11.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 11/16/2021] [Accepted: 11/30/2021] [Indexed: 10/19/2022]
Affiliation(s)
- Weilin Pu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and 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
| | - Rui Zhang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and Human Phenome Institute, Fudan University, Shanghai, China; Institute for Six-sector Economy, Fudan University, Shanghai, 200433, China
| | - Yanyun Ma
- Institute for Six-sector Economy, Fudan University, Shanghai, 200433, 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
| | - Qingmei Liu
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China; MOE Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Shuai Jiang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and Human Phenome Institute, Fudan University, Shanghai, China; Department of Rheumatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jing Liu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and 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
| | - Wenzhen Tu
- Division of Rheumatology, Shanghai TCM-integrated Hospital, Shanghai, China
| | - Gang Guo
- Department of Rheumatology, Yiling Hospital, Shijiazhuang, China
| | - Xiaoxia Zuo
- Department of Rheumatology, Xiangya Hospital, Central South University
| | - Qingwen Wang
- Rheumatology and Immunology Department, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yuanyuan Chen
- Division of Rheumatology, Shanghai TCM-integrated Hospital, Shanghai, China
| | - Wenyu Wu
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China; Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
| | - Xiaodong Zhou
- Division of Rheumatology and Clinical Immunogenetics, the University of Texas-McGovern Medical School, Houston, TX, USA
| | - Jörg H W Distler
- Department of Internal Medicine 3 and Institute for Clinical Immunology, University of Erlangen, Nuremberg, Germany
| | - John D Reveille
- Division of Rheumatology and Clinical Immunogenetics, the University of Texas-McGovern Medical School, Houston, TX, USA
| | - Hejian Zou
- Department of Rheumatology, Huashan Hospital, Fudan University, Shanghai, China; Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and 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; Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China
| | - Maureen D Mayes
- Division of Rheumatology and Clinical Immunogenetics, the University of Texas-McGovern Medical School, Houston, TX, USA
| | - Jiucun Wang
- Department of Dermatology, Huashan Hospital, 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; Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China; Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China.
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16
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Douillard V, Castelli EC, Mack SJ, Hollenbach JA, Gourraud PA, Vince N, Limou S. Approaching Genetics Through the MHC Lens: Tools and Methods for HLA Research. Front Genet 2021; 12:774916. [PMID: 34925459 PMCID: PMC8677840 DOI: 10.3389/fgene.2021.774916] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/08/2021] [Indexed: 01/11/2023] Open
Abstract
The current SARS-CoV-2 pandemic era launched an immediate and broad response of the research community with studies both about the virus and host genetics. Research in genetics investigated HLA association with COVID-19 based on in silico, population, and individual data. However, they were conducted with variable scale and success; convincing results were mostly obtained with broader whole-genome association studies. Here, we propose a technical review of HLA analysis, including basic HLA knowledge as well as available tools and advice. We notably describe recent algorithms to infer and call HLA genotypes from GWAS SNPs and NGS data, respectively, which opens the possibility to investigate HLA from large datasets without a specific initial focus on this region. We thus hope this overview will empower geneticists who were unfamiliar with HLA to run MHC-focused analyses following the footsteps of the Covid-19|HLA & Immunogenetics Consortium.
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Affiliation(s)
- Venceslas Douillard
- Centre de Recherche en Transplantation et Immunologie, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Université de Nantes, Nantes, France
| | | | - Steven J. Mack
- Division of Allergy, Immunology and Bone Marrow Transplantation, Department of Pediatrics, School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Jill A. Hollenbach
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Pierre-Antoine Gourraud
- Centre de Recherche en Transplantation et Immunologie, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Université de Nantes, Nantes, France
| | - Nicolas Vince
- Centre de Recherche en Transplantation et Immunologie, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Université de Nantes, Nantes, France
| | - Sophie Limou
- Centre de Recherche en Transplantation et Immunologie, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, Université de Nantes, Nantes, France
- Ecole Centrale de Nantes, Department of Computer Sciences and Mathematics in Biology, Nantes, France
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17
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Hinchcliff M, Garcia-Milian R, Di Donato S, Dill K, Bundschuh E, Galdo FD. Cellular and Molecular Diversity in Scleroderma. Semin Immunol 2021; 58:101648. [PMID: 35940960 DOI: 10.1016/j.smim.2022.101648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
With the increasing armamentarium of high-throughput tools available at manageable cost, it is attractive and informative to determine the molecular underpinnings of patient heterogeneity in systemic sclerosis (SSc). Given the highly variable clinical outcomes of patients labelled with the same diagnosis, unravelling the cellular and molecular basis of disease heterogeneity will be crucial to predicting disease risk, stratifying management and ultimately informing a patient-centered precision medicine approach. Herein, we summarise the findings of the past several years in the fields of genomics, transcriptomics, and proteomics that contribute to unraveling the cellular and molecular heterogeneity of SSc. Expansion of these findings and their routine integration with quantitative analysis of histopathology and imaging studies into clinical care promise to inform a scientifically driven patient-centred personalized medicine approach to SSc in the near future.
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Affiliation(s)
- Monique Hinchcliff
- Yale School of Medicine, Department of Internal Medicine, Section of Rheumatology, Allergy & Immunology, USA.
| | | | - Stefano Di Donato
- Raynaud's and Scleroderma Programme, Leeds Institute of Rheumatic and Musculoskeletal Medicine and NIHR Biomedical Research Centre, University of Leeds, UK
| | | | - Elizabeth Bundschuh
- Yale School of Medicine, Department of Internal Medicine, Section of Rheumatology, Allergy & Immunology, USA
| | - Francesco Del Galdo
- Raynaud's and Scleroderma Programme, Leeds Institute of Rheumatic and Musculoskeletal Medicine and NIHR Biomedical Research Centre, University of Leeds, UK.
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18
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Evaluation of keratin 1 gene expression and its single nucleotide polymorphism (rs14024) in systemic sclerosis patients. GENE REPORTS 2021. [DOI: 10.1016/j.genrep.2021.101404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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19
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CCL3L3-null status is associated with susceptibility to systemic lupus erythematosus. Sci Rep 2021; 11:19172. [PMID: 34580371 PMCID: PMC8476559 DOI: 10.1038/s41598-021-98531-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/30/2021] [Indexed: 11/08/2022] Open
Abstract
The correlation between copy number variation (CNV) and the susceptibility to systemic lupus erythematosus (SLE) has been reported for various immunity-related genes. However, the contribution of CNVs to SLE susceptibility awaits more investigation. To evaluate the copy numbers in immunity-related genes such as TNFAIP3, TNIP1, IL12B, TBX21 (T-bet), TLR7, C4A, C4B, CCL3L1, and CCL3L3, the modified real competitive polymerase chain reaction (mrcPCR) assay was employed, and the association between the copy numbers and SLE susceptibility was analyzed in 334 SLE patients and 338 controls. CCL3L3-null status was significantly associated with SLE susceptibility (OR > 18, P < 0.0001), which remained significant by Bonferroni's correction (corrected P = 0.0007). However, the significant association between C4B low-copy status and SLE susceptibility (OR = 1.6051, P = 0.0331) became non-significant by Bonferroni's correction (corrected P = 0.3938). Except for these results, no other significant association between SLE susceptibility and copy number status in other genes was observed. The CCL3L3-null status may be a significant factor for SLE susceptibility.
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20
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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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21
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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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22
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Bellocchi C, Ying J, Goldmuntz EA, Keyes-Elstein L, Varga J, Hinchcliff ME, Lyons MA, McSweeney P, Furst DE, Nash R, Crofford LJ, Welch B, Goldin JG, Pinckney A, Mayes MD, Sullivan KM, Assassi S. Large-Scale Characterization of Systemic Sclerosis Serum Protein Profile: Comparison to Peripheral Blood Cell Transcriptome and Correlations With Skin/Lung Fibrosis. Arthritis Rheumatol 2021; 73:660-670. [PMID: 33131208 DOI: 10.1002/art.41570] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 10/27/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To provide a large-scale assessment of serum protein dysregulation in diffuse cutaneous systemic sclerosis (dcSSc) and to investigate serum protein correlates of SSc fibrotic features. METHODS We investigated serum protein profiles of 66 participants with dcSSc at baseline who were enrolled in the Scleroderma: Cyclophosphamide or Transplant Trial and 66 age- and sex-matched healthy control subjects. A panel of 230 proteins, including several cytokines and chemokines, was investigated. Whole blood gene expression profiling in concomitantly collected samples was performed. RESULTS Among the participants with dcSSc, the mean disease duration was 2.3 years. All had interstitial lung disease (ILD), and none were being treated with immunosuppressive agents at baseline. Ninety proteins were differentially expressed in participants with dcSSc compared to healthy control subjects. Similar to previous global skin transcript results, hepatic fibrosis, granulocyte and agranulocyte adhesion, and diapedesis were the top overrepresented pathways. Eighteen proteins correlated with the modified Rodnan skin thickness score (MRSS). Soluble epidermal growth factor receptor was significantly down-regulated in dcSSc and showed the strongest negative correlation with the MRSS, being predictive of the score's course over time, whereas α1 -antichymotrypsin was significantly up-regulated in dcSSc and showed the strongest positive correlation with the MRSS. Furthermore, higher levels of cancer antigen 15-3 correlated with more severe ILD, based on findings of reduced forced vital capacity and higher scores of disease activity on high-resolution computed tomography. Only 14 genes showed significant differential expression in the same direction in serum protein and whole blood RNA gene expression analyses. CONCLUSION Diffuse cutaneous SSc has a distinct serum protein profile with prominent dysregulation of proteins related to fibrosis and immune cell adhesion/diapedesis. The differential expression for most serum proteins in SSc is likely to originate outside the peripheral blood cells.
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Affiliation(s)
- Chiara Bellocchi
- The University of Texas Health Science Center at Houston and McGovern Medical School, Houston, and Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
| | - Jun Ying
- The University of Texas Health Science Center at Houston and McGovern Medical School, Houston
| | - Ellen A Goldmuntz
- National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland
| | | | - John Varga
- Northwestern University, Chicago, Illinois
| | | | - Marka A Lyons
- The University of Texas Health Science Center at Houston and McGovern Medical School, Houston
| | | | - Daniel E Furst
- University of California Los Angeles, University of Washington, Seattle, and University of Florence, Florence, Italy
| | | | | | - Beverly Welch
- National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland
| | | | | | - Maureen D Mayes
- The University of Texas Health Science Center at Houston and McGovern Medical School, Houston
| | | | - Shervin Assassi
- The University of Texas Health Science Center at Houston and McGovern Medical School, Houston
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23
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Yamashita K, Kawasaki A, Matsushita T, Furukawa H, Kondo Y, Okiyama N, Nagaoka S, Shimada K, Sugii S, Katayama M, Hirohata S, Okamoto A, Chiba N, Suematsu E, Setoguchi K, Migita K, Sumida T, Tohma S, Hamaguchi Y, Hasegawa M, Sato S, Kawaguchi Y, Takehara K, Tsuchiya N. Association of functional (GA)n microsatellite polymorphism in the FLI1 gene with susceptibility to human systemic sclerosis. Rheumatology (Oxford) 2021; 59:3553-3562. [PMID: 32696043 DOI: 10.1093/rheumatology/keaa306] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 04/08/2020] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE Susceptibility genes that can account for characteristic features of SSc such as fibrosis, vasculopathy and autoimmunity remain to be determined. In mice, deficiency of Friend leukaemia integration 1 transcription factor (Fli1) causes SSc-like disease with these features. The human FLI1 gene contains (GA)n microsatellite, which has been shown to be associated with expression level. Because microsatellite polymorphisms are difficult to capture by genome-wide association studies, we directly genotyped FLI1 (GA)n microsatellite and examined its association with SSc. METHODS Genomic DNA from 639 Japanese SSc patients and 851 healthy controls was genotyped for (GA)n microsatellite using the fragment assay. The cut-off repeat number for susceptibility to SSc was determined by receiver operating characteristics (ROC) analysis. Association with susceptibility and clinical characteristics was examined using logistic regression analysis. FLI1 mRNA levels were determined using quantitative RT-PCR. RESULTS Based on the ROC analysis, (GA)n alleles with ≥22 repeats were collectively defined as L alleles and alleles with ≤21 repeats as S alleles. (GA)n L alleles were significantly associated with susceptibility to SSc (P = 5.0e-04, odds ratio 1.34, additive model). Significant association was observed both in diffuse cutaneous and limited cutaneous SSc. Among the SSc, (GA)n L alleles were significantly enriched in the patients with a modified Rodnan total skin thickness score ≥10 compared with those with a score <10. FLI1 mRNA levels were significantly decreased in healthy controls carrying (GA)n L alleles as compared with non-carriers. CONCLUSION Extended repeat alleles of FLI1 (GA)n microsatellite may be associated with lower FLI1 mRNA levels and susceptibility to human SSc.
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Affiliation(s)
- Keita Yamashita
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.,Doctoral Program in Biomedical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.,Department of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Aya Kawasaki
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.,Doctoral Program in Biomedical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | | | - Hiroshi Furukawa
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.,Doctoral Program in Biomedical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.,Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara Hospital, Sagamihara, Japan.,Department of Rheumatology, National Hospital Organization Tokyo National Hospital, Kiyose, Japan
| | - Yuya Kondo
- Department of Internal Medicine, University of Tsukuba, Tsukuba, Japan
| | - Naoko Okiyama
- Department of Dermatology, University of Tsukuba, Tsukuba, Japan
| | - Shouhei Nagaoka
- Department of Rheumatology, Yokohama Minami Kyosai Hospital, Yokohama, Japan
| | - Kota Shimada
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara Hospital, Sagamihara, Japan.,Department of Rheumatology, Tokyo Metropolitan Tama Medical Center, Fuchu, Japan
| | - Shoji Sugii
- Department of Rheumatology, Tokyo Metropolitan Tama Medical Center, Fuchu, Japan
| | - Masao Katayama
- Department of Internal Medicine, National Hospital Organization Nagoya Medical Center, Nagoya, Japan
| | - Shunsei Hirohata
- Department of Rheumatology and Infectious Diseases, Kitasato University School of Medicine, Sagamihara, Japan
| | - Akira Okamoto
- Department of Rheumatology, National Hospital Organization Himeji Medical Center, Himeji, Japan
| | - Noriyuki Chiba
- Department of Rheumatology, National Hospital Organization Morioka Medical Center, Morioka, Japan
| | - Eiichi Suematsu
- Department of Internal Medicine and Rheumatology, Clinical Research Institute, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Keigo Setoguchi
- Allergy and Immunological Diseases, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Kiyoshi Migita
- Department of Rheumatology, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Takayuki Sumida
- Department of Internal Medicine, University of Tsukuba, Tsukuba, Japan
| | - Shigeto Tohma
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara Hospital, Sagamihara, Japan.,Department of Rheumatology, National Hospital Organization Tokyo National Hospital, Kiyose, Japan
| | | | - Minoru Hasegawa
- Department of Dermatology, University of Fukui, Fukui, Japan
| | - Shinichi Sato
- Department of Dermatology, University of Tokyo, Tokyo, Japan
| | - Yasushi Kawaguchi
- Department of Rheumatology, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | | | - Naoyuki Tsuchiya
- Molecular and Genetic Epidemiology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.,Doctoral Program in Biomedical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
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Krylov MY, Ananieva LP, Guseva IA. Relating Interferon Regulatory Factor 5 Rs2004640 Gene Polymorphism To Increased Risk Of Systemic Sclerosis In The Patients: Russian Federation Cohort. RUSSIAN OPEN MEDICAL JOURNAL 2020. [DOI: 10.15275/rusomj.2020.0410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Background ― A number of studies confirmed a crucial role of type 1 interferon in pathophysiology of connective tissue diseases. Interferon regulatory factors (IRF) coordinate an expression of type 1 interferon, while interferon regulatory factor 5 (IRF5) gene was recently identified as causing predisposition to systemic lupus erythematosus and Sjögren syndrome. The objective of our study was to identify possible association of IRF5 rs2004640 (G/T) single nucleotide polymorphism with systemic sclerosis (SSc). Material and Methods―The study involved 236 individuals, including 105 patients with SSc diagnosis and 131 control individuals from Moscow region. The latter were healthy, unrelated to each other, their genders and ages were matched to those of SSc patients. Allele-specific real-time polymerase chain reaction (PCR) was used to study IFR5 rs2004640 polymorphism. Results ― We detected significantly higher percentage of IRF5 T-allele carriers in all patients (59.5%), those with diffuse cutaneous SSc (67.3%), patients with interstitial lung lesions (62.3%), and those with positive titers of anti-topoisomerase I antibodies (66.3%), compared with control group (46.2%). The odds ratios (OR) were: 1.71 (р=0.00), 2.40 (р=0.0004), 1.93 (р=0.002), and 2.30 (р=0.0008), correspondingly. Conclusion ― The replacement of nucleotide G by T in the IRF5 rs2004640 gene polymorphism was associated with a predisposition to SSc. Our data implied an existence of a novel SSc pathogenetic pathway associated with important role of type 1 interferon in pathophysiology of connective tissue diseases.
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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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26
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The Anti-Inflammatory Protein TNIP1 Is Intrinsically Disordered with Structural Flexibility Contributed by Its AHD1-UBAN Domain. Biomolecules 2020; 10:biom10111531. [PMID: 33182596 PMCID: PMC7697625 DOI: 10.3390/biom10111531] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/04/2020] [Accepted: 11/05/2020] [Indexed: 01/02/2023] Open
Abstract
TNFAIP3 interacting protein 1 (TNIP1) interacts with numerous non-related cellular, viral, and bacterial proteins. TNIP1 is also linked with multiple chronic inflammatory disorders on the gene and protein levels, through numerous single-nucleotide polymorphisms and reduced protein amounts. Despite the importance of TNIP1 function, there is limited investigation as to how its conformation may impact its apparent multiple roles. Hub proteins like TNIP1 are often intrinsically disordered proteins. Our initial in silico assessments suggested TNIP1 is natively unstructured, featuring numerous potentials intrinsically disordered regions, including the ABIN homology domain 1-ubiquitin binding domain in ABIN proteins and NEMO (AHD1-UBAN) domain associated with its anti-inflammatory function. Using multiple biophysical approaches, we demonstrate the structural flexibility of full-length TNIP1 and the AHD1-UBAN domain. We present evidence the AHD1-UBAN domain exists primarily as a pre-molten globule with limited secondary structure in solution. Data presented here suggest the previously described coiled-coil conformation of the crystallized UBAN-only region may represent just one of possibly multiple states for the AHD1-UBAN domain in solution. These data also characterize the AHD1-UBAN domain in solution as mostly monomeric with potential to undergo oligomerization under specific environmental conditions (e.g., binding partner availability, pH-dependence). This proposed intrinsic disorder across TNIP1 and within the AHD1-UBAN region is likely to impact TNIP1 function and interaction with its multiple partners.
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27
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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: 0] [Impact Index Per Article: 0] [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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Ishikawa Y, Terao C. Genetics of systemic sclerosis. JOURNAL OF SCLERODERMA AND RELATED DISORDERS 2020; 5:192-201. [PMID: 35382527 PMCID: PMC8922623 DOI: 10.1177/2397198320913695] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 02/23/2020] [Indexed: 01/05/2024]
Abstract
Systemic sclerosis is an autoimmune disease characterized by generalized fibrosis in connective tissues and internal organs as consequences of microvascular dysfunction and immune dysfunctions, which leads to premature death in affected individuals. The etiology of systemic sclerosis is complex and poorly understood, but as with most autoimmune diseases, it is widely accepted that both environmental and genetic factors contribute to disease risk. During the last decade, the number of genetic markers convincingly associated with systemic sclerosis has exponentially increased. In this article, we briefly mention the genetic components of systemic sclerosis. Then, we review the classical and novel genetic associations with systemic sclerosis, analyzing the firmest and replicated signals within non-human leukocyte antigen genes, identified by both candidate gene approach and genome-wide association studies. We also provide an insight into the future perspectives that will shed more light into the complex genetic background of the disease. Despite the remarkable advance of systemic sclerosis genetics during the last decade, the use of the new genetic technologies such as next-generation sequencing, as well as the deep phenotyping of the study cohorts, to fully characterize the genetic component of this disease is imperative to identify causal variants, which leads to more targeted and effective treatment of systemic sclerosis.
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Affiliation(s)
- Yuki Ishikawa
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
- Laboratory for Statistical and Translational Genetics, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- Department of Applied Genetics, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
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Albalawi AM, Al-Barry MA. Genetic variations in autoimmune genes and VKH disease. Int Ophthalmol 2020; 40:3175-3186. [PMID: 32974831 DOI: 10.1007/s10792-020-01407-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 04/28/2020] [Indexed: 02/02/2023]
Abstract
PURPOSE Vogt-Koyanagi-Harada (VKH) disease is a rare autoimmune disease. The autoimmune response in VKH disease is against the melanin-producing cells; therefore, in affected individuals melanocyte-containing organs manifest disease symptoms including eyes, ears, skin and nervous system. VKH is a multifactorial disease, and the precise cause of the VKH disease is unknown. Studies have suggested that both environmental and genetic factors are responsible for the VKH disease. In this review, the authors have collected all the available literature on the genetics of VKH to their knowledge and discussed the role of genetic variants in causing VKH disease. METHODS An extensive literature search was performed in order to review all the published studies regarding VKH clinical phenotyping and genetic variants in VKH disease. Medline, PubMed, Cochrane library, and Scopus was searched using combination of keywords. RESULTS It was found that variants in HLA genes, IL-12b, TNFSF4, and miR-20-5p genes are significantly associated with VKH; however, variants in genes ATG10, TNIP1 and CLEC16A did not achieve significant genome-wide association threshold. Moreover, polymorphisms in TNIP1 and CLEC16A play a protective role against VKH. CONCLUSION The authors conclude that increased sample size and a more homogeneous VKH patient population may reveal a significant association of variants in ATG10, TNIP1 and CLEC16A genes with VKH disease.
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Affiliation(s)
- Alia M Albalawi
- Department of Biology, College of Science, King AbdulAziz University Jeddah, Jeddah, Saudi Arabia.,Center for Genetics and Inherited Diseases, Taibah University Almadinah Almunawwarah, Medina, Saudi Arabia
| | - Maan A Al-Barry
- Department of Ophthalmology, College of Medicine, Taibah University Almadinah Almunawwarah, Medina, Saudi Arabia.
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30
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Li T, Ortiz-Fernández L, Andrés-León E, Ciudad L, Javierre BM, López-Isac E, Guillén-Del-Castillo A, Simeón-Aznar CP, Ballestar E, Martin J. Epigenomics and transcriptomics of systemic sclerosis CD4+ T cells reveal long-range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci. Genome Med 2020; 12:81. [PMID: 32977850 PMCID: PMC7519528 DOI: 10.1186/s13073-020-00779-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 09/08/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Systemic sclerosis (SSc) is a genetically complex autoimmune disease mediated by the interplay between genetic and epigenetic factors in a multitude of immune cells, with CD4+ T lymphocytes as one of the principle drivers of pathogenesis. METHODS DNA samples exacted from CD4+ T cells of 48 SSc patients and 16 healthy controls were hybridized on MethylationEPIC BeadChip array. In parallel, gene expression was interrogated by hybridizing total RNA on Clariom™ S array. Downstream bioinformatics analyses were performed to identify correlating differentially methylated CpG positions (DMPs) and differentially expressed genes (DEGs), which were then confirmed utilizing previously published promoter capture Hi-C (PCHi-C) data. RESULTS We identified 9112 and 3929 DMPs and DEGs, respectively. These DMPs and DEGs are enriched in functional categories related to inflammation and T cell biology. Furthermore, correlation analysis identified 17,500 possible DMP-DEG interaction pairs within a window of 5 Mb, and utilizing PCHi-C data, we observed that 212 CD4+ T cell-specific pairs of DMP-DEG also formed part of three-dimensional promoter-enhancer networks, potentially involving CTCF. Finally, combining PCHi-C data with SSc GWAS data, we identified four important SSc-associated susceptibility loci, TNIP1 (rs3792783), GSDMB (rs9303277), IL12RB1 (rs2305743), and CSK (rs1378942), that could potentially interact with DMP-DEG pairs cg17239269-ANXA6, cg19458020-CCR7, cg10808810-JUND, and cg11062629-ULK3, respectively. CONCLUSION Our study unveils a potential link between genetic, epigenetic, and transcriptional deregulation in CD4+ T cells of SSc patients, providing a novel integrated view of molecular components driving SSc pathogenesis.
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Affiliation(s)
- Tianlu Li
- Epigenetics and Immune Disease Group, Josep Carreras Research Institute (IJC), 08916, Badalona, Barcelona, Spain
| | - Lourdes Ortiz-Fernández
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Granada, Spain
| | - Eduardo Andrés-León
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Granada, Spain
| | - Laura Ciudad
- Epigenetics and Immune Disease Group, Josep Carreras Research Institute (IJC), 08916, Badalona, Barcelona, Spain
| | - Biola M Javierre
- 3D Chromatin Organization, Josep Carreras Research Institute (IJC), 08916, Badalona, Barcelona, Spain
| | - Elena López-Isac
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Granada, Spain
| | - Alfredo Guillén-Del-Castillo
- Unit of Systemic Autoimmunity Diseases, Department of Internal Medicine, Vall d'Hebron Hospital, Barcelona, Spain
| | - Carmen Pilar Simeón-Aznar
- Unit of Systemic Autoimmunity Diseases, Department of Internal Medicine, Vall d'Hebron Hospital, Barcelona, Spain
| | - Esteban Ballestar
- Epigenetics and Immune Disease Group, Josep Carreras Research Institute (IJC), 08916, Badalona, Barcelona, Spain.
| | - Javier Martin
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Granada, Spain.
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31
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Xu C, Dolby GA, Drake KK, Esque TC, Kusumi K. Immune and sex-biased gene expression in the threatened Mojave desert tortoise, Gopherus agassizii. PLoS One 2020; 15:e0238202. [PMID: 32846428 PMCID: PMC7449761 DOI: 10.1371/journal.pone.0238202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 08/11/2020] [Indexed: 11/18/2022] Open
Abstract
The immune system of ectotherms, particularly non-avian reptiles, remains poorly characterized regarding the genes involved in immune function, and their function in wild populations. We used RNA-Seq to explore the systemic response of Mojave desert tortoise (Gopherus agassizii) gene expression to three levels of Mycoplasma infection to better understand the host response to this bacterial pathogen. We found over an order of magnitude more genes differentially expressed between male and female tortoises (1,037 genes) than differentially expressed among immune groups (40 genes). There were 8 genes differentially expressed among both variables that can be considered sex-biased immune genes in this tortoise. Among experimental immune groups we find enriched GO biological processes for cysteine catabolism, regulation of type 1 interferon production, and regulation of cytokine production involved in immune response. Sex-biased transcription involves iron ion transport, iron ion homeostasis, and regulation of interferon-beta production to be enriched. More detailed work is needed to assess the seasonal response of the candidate genes found here. How seasonal fluctuation of testosterone and corticosterone modulate the immunosuppression of males and their susceptibility to Mycoplasma infection also warrants further investigation, as well as the importance of iron in the immune function and sex-biased differences of this species. Finally, future transcriptional studies should avoid drawing blood from tortoises via subcarapacial venipuncture as the variable aspiration of lymphatic fluid will confound the differential expression of genes.
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Affiliation(s)
- Cindy Xu
- School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
| | - Greer A. Dolby
- School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
- Center for Mechanisms of Evolution, Biodesign Institute, Arizona State University, Tempe, Arizona, United States of America
| | - K. Kristina Drake
- Western Ecological Research Center, U.S. Geological Survey, Henderson, Nevada, United States of America
| | - Todd C. Esque
- Western Ecological Research Center, U.S. Geological Survey, Henderson, Nevada, United States of America
| | - Kenro Kusumi
- School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
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The Pathogenesis of Systemic Sclerosis: An Understanding Based on a Common Pathologic Cascade across Multiple Organs and Additional Organ-Specific Pathologies. J Clin Med 2020; 9:jcm9092687. [PMID: 32825112 PMCID: PMC7565034 DOI: 10.3390/jcm9092687] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 02/08/2023] Open
Abstract
Systemic sclerosis (SSc) is a multisystem autoimmune and vascular disease resulting in fibrosis of various organs with unknown etiology. Accumulating evidence suggests that a common pathologic cascade across multiple organs and additional organ-specific pathologies underpin SSc development. The common pathologic cascade starts with vascular injury due to autoimmune attacks and unknown environmental factors. After that, dysregulated angiogenesis and defective vasculogenesis promote vascular structural abnormalities, such as capillary loss and arteriolar stenosis, while aberrantly activated endothelial cells facilitate the infiltration of circulating immune cells into perivascular areas of various organs. Arteriolar stenosis directly causes pulmonary arterial hypertension, scleroderma renal crisis and digital ulcers. Chronic inflammation persistently activates interstitial fibroblasts, leading to the irreversible fibrosis of multiple organs. The common pathologic cascade interacts with a variety of modifying factors in each organ, such as keratinocytes and adipocytes in the skin, esophageal stratified squamous epithelia and myenteric nerve system in gastrointestinal tract, vasospasm of arterioles in the heart and kidney, and microaspiration of gastric content in the lung. To better understand SSc pathogenesis and develop new disease-modifying therapies, it is quite important to understand the complex pathogenesis of SSc from the two distinct perspectives, namely the common pathologic cascade and additional organ-specific pathologies.
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Peng H, Wu X, Wen Y, Li C, Lin J, Li J, Xiong S, Zhong R, Liang H, Cheng B, Liu J, He J, Liang W. Association between systemic sclerosis and risk of lung cancer: results from a pool of cohort studies and Mendelian randomization analysis. Autoimmun Rev 2020; 19:102633. [PMID: 32801043 DOI: 10.1016/j.autrev.2020.102633] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 04/13/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Population-based cohort studies have indicated that systemic sclerosis (SSc) may be associated with an increased risk of lung cancer. However, there are few studies that comprehensively investigate their correlation and the causal effect remains unknown. METHODS A systematic search of PubMed, Web of Science, Cochrane Library and Embase from the inception dates to December 1, 2019 was carried out. Meta-analysis was performed to calculate odds ratio (OR) and corresponding 95% confidence interval (CI) using random-effects models. Subgroup analyses were performed regarding gender. Two-sample Mendelian randomization (MR) was carried out with summary data from published genome-wide association studies of SSc (Neale Lab, 3871 individuals; UK Biobank, 463,315 individuals) and lung cancer (International Lung Cancer Consortium, 27,209 individuals; UK Biobank, 508,977 individuals). Study-specific estimates were summarized using inverse variance-weighted, weighted median, and MR-Egger method. RESULTS Through meta-analysis of 10 population-based cohort studies involving 12,218 patients, we observed a significantly increased risk of lung cancer among patients with SSc (OR 2.80, 95% CI 1.55-5.03). In accordance with subgroup analysis, male patients (OR 4.11, 95% CI 1.92-8.79) had a 1.5-fold higher lung cancer risk compared with female patients (OR 2.73, 95% CI 1.41-5.27). However, using a score of 11 SSc-related single nucleotide polymorphisms (p < 5*10-8) as instrumental variables, the MR study did not support a causality between SSc and lung cancer (OR 1.001, 95% CI 0.929-1.100, p = 0.800). Specifically, subgroup MR analyses indicated that SSc was not associated with increased risks of non-small-cell lung cancer (OR 1.000, 95% CI 0.999-1.000, p = 0.974), including lung adenocarcinoma (OR 0.996, 95% CI 0.906-1.094, p = 0.927), squamous cell lung carcinoma (OR 1.034, 95% CI 0.937-1.140, p = 0.507), nor small-cell lung cancer (OR 1.000, 95% CI 0.999-1.000, p = 0.837). CONCLUSIONS This study indicated an increased risk of lung cancer among patients with SSc by meta-analysis, whereas the MR study did not support a causality between the two diseases. Further studies are warranted to investigate the factors underlying the attribution of SSc to lung cancer risk.
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Affiliation(s)
- Haoxin Peng
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Nanshan School, Guangzhou Medical University, Jingxiu Road, Panyu District, Guangzhou 511436, China
| | - Xiangrong Wu
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Nanshan School, Guangzhou Medical University, Jingxiu Road, Panyu District, Guangzhou 511436, China
| | - Yaokai Wen
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Nanshan School, Guangzhou Medical University, Jingxiu Road, Panyu District, Guangzhou 511436, China
| | - Caichen Li
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jinsheng Lin
- Nanshan School, Guangzhou Medical University, Jingxiu Road, Panyu District, Guangzhou 511436, China
| | - Jianfu Li
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shan Xiong
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ran Zhong
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hengrui Liang
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bo Cheng
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jun Liu
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jianxing He
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Wenhua Liang
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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Gong HB, Gao ST, Pu XM, Kang XJ, Wu XJ. Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: a meta-analysis of case-control studies. BMC MEDICAL GENETICS 2020; 21:103. [PMID: 32398022 PMCID: PMC7216328 DOI: 10.1186/s12881-020-01041-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 04/30/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND To date, the fundamental pathophysiology underlying the occurrence and progression of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. Here, we intended to conduct a survey on the association between TNFAIP3 and TNIP1 gene polymorphisms and psoriasis risk. METHODS A comprehensive search of four online databases-China National Knowledge Infrastructure (CNKI), PubMed, Embase, and Cochrane Library was undertaken up to August 25, 2019. We chose allele genetic model to deal with the original data. Newcastle-Ottawa scale (NOS) was used to evaluate the risk bias of each study. The RevMan 5.3 software was used to calculate the combined odds ratio and 95% confidence interval. RESULTS In total, we included 13 case-control studies consist of 13,908 psoriasis patients and 20,051 controls in this work. Our results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random-effect model (G vs. T, OR = 1.19, 95% CI: 1.09-1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed-effect model (A vs. G, OR = 1.69, 95% CI:1.58-1.80, P < 0.00001). CONCLUSIONS Our findings indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.
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Affiliation(s)
- Hai-Bo Gong
- Department of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, 91 Tianchi Road, Tianshan District, Urumqi, 830001, Xinjiang, China
| | - Shu-Tao Gao
- Department of Spine Surgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China
| | - Xiong-Ming Pu
- Department of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, 91 Tianchi Road, Tianshan District, Urumqi, 830001, Xinjiang, China.
| | - Xiao-Jing Kang
- Department of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, 91 Tianchi Road, Tianshan District, Urumqi, 830001, Xinjiang, China.
| | - Xiu-Juan Wu
- Department of Dermatology, Shanghai Xuhui Central Hospital, Shanghai, 200031, China.
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35
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Pasula S, Tessneer KL, Fu Y, Gopalakrishnan J, Pelikan RC, Kelly JA, Wiley GB, Wiley MM, Gaffney PM. Role of Systemic Lupus Erythematosus Risk Variants With Opposing Functional Effects as a Driver of Hypomorphic Expression of TNIP1 and Other Genes Within a Three-Dimensional Chromatin Network. Arthritis Rheumatol 2020; 72:780-790. [PMID: 31804013 PMCID: PMC7188567 DOI: 10.1002/art.41188] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 12/03/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Genetic variants in the region of tumor necrosis factor-induced protein 3-interacting protein 1 (TNIP1) are associated with autoimmune disease and reduced TNIP1 gene expression. The aim of this study was to define the functional genetic mechanisms driving TNIP1 hypomorphic expression imparted by the systemic lupus erythematosus-associated TNIP1 H1 risk haplotype. METHODS Dual luciferase expression and electrophoretic mobility shift assays were used to evaluate the allelic effects of 11 risk variants on enhancer function and nuclear protein binding in immune cell line models (Epstein-Barr virus [EBV]-transformed human B cells, Jurkat cells, and THP-1 cells), left in a resting state or stimulated with phorbol 12-myristate 13-acetate/ionomycin. HiChIP was used to define the regulatory 3-dimensional (3-D) chromatin network of the TNIP1 haplotype by detecting in situ long-range DNA contacts associated with H3K27ac-marked chromatin in EBV B cells. Then, quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to determine the expression of genes within the 3-D chromatin network. RESULTS Bioinformatics analyses of 50 single-nucleotide polymorphisms on the TNIP1 H1 risk haplotype identified 11 non-protein-coding variants with a high likelihood of influencing TNIP1 gene expression. Eight variants in EBV B cells, 5 in THP-1 cells, and 2 in Jurkat cells exhibited various allelic effects on enhancer activation, resulting in a cumulative suppressive effect on TNIP1 expression (net effect of risk variants -7.14 fold, -6.80 fold, and -2.44 fold, respectively; n > 3). Specifically, in EBV B cells, only 2 variants (rs10057690 and rs13180950) exhibited allele-specific loss of both enhancer activity and nuclear protein binding (each P < 0.01 relative to nonrisk alleles). In contrast, the rs10036748 risk allele reduced binding affinities of the transcriptional repressors basic helix-loop-helix family member 40/differentially expressed in chondrocytes 1 (bHLHe40/DEC1) (P < 0.05 relative to nonrisk alleles) and CREB-1 (P not significant) in EBV B cells, resulting in a gain of enhancer activity (P < 0.05). HiChIP and qRT-PCR analyses revealed that overall transcriptional repression of the TNIP1 haplotype extended to the neighboring genes DCTN4 and GMA2, both of which also showed decreased expression in the presence of the TNIP1 risk haplotype (P < 0.001 and P < 0.01, respectively, relative to the nonrisk haplotype); notably, it was found that these genes share a 3-D chromatin network. CONCLUSION Hypomorphic TNIP1 expression results from the combined concordant and opposing effects of multiple risk variants carried on the TNIP1 risk haplotype, with the strongest regulatory effect in B lymphoid lineage cells. Furthermore, the TNIP1 risk haplotype effect extends to neighboring genes within a shared chromatin network.
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Affiliation(s)
- Satish Pasula
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Kandice L. Tessneer
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Yao Fu
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Jaanam Gopalakrishnan
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Richard C. Pelikan
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Jennifer A. Kelly
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Graham B. Wiley
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Mandi M. Wiley
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Patrick M. Gaffney
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
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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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Enhanced Wound Healing- and Inflammasome-Associated Gene Expression in TNFAIP3-Interacting Protein 1- (TNIP1-) Deficient HaCaT Keratinocytes Parallels Reduced Reepithelialization. Mediators Inflamm 2020; 2020:5919150. [PMID: 32377162 PMCID: PMC7191359 DOI: 10.1155/2020/5919150] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 03/04/2020] [Accepted: 03/31/2020] [Indexed: 01/06/2023] Open
Abstract
TNIP1 protein is a widely expressed, cytoplasmic inhibitor of inflammatory signaling initiated by membrane receptors such as TLRs which recognize pathogen-associated and damage-associated molecular patterns (PAMPs and DAMPs). Keratinocyte TNIP1 deficiency sensitizes cells to PAMPs and DAMPs promoting hyperresponsive expression and secretion of cytokine markers (e.g., IL-8 and IL-6) relevant to cases of chronic inflammation, like psoriasis, where TNIP1 deficiency has been reported. Here, we examined the impact of TNIP1 deficiency on gene expression and cellular responses (migration and viability) relevant to acute inflammation as typically occurs in wound healing. Using siRNA-mediated TNIP1 expression knockdown in cultured HaCaT keratinocytes, we investigated TNIP1 deficiency effects on signaling downstream of TLR3 agonism with low-concentration poly (I:C), a representative PAMP/DAMP. The combination of TNIP1 knockdown and PAMP/DAMP signaling disrupted expression of specific keratinocyte differentiation markers (e.g., transglutaminase 1 and involucrin). These same conditions promoted synergistically increased expression of wound-associated markers (e.g., S100A8, TGFβ, and CCN2) suggesting potential benefit of increased inflammatory response from reduced TNIP1 protein. Unexpectedly, poly (I:C) challenge of TNIP1-deficient cells restricted reepithelialization and reduced cell viability. In these cells, there was not only increased expression for genes associated with inflammasome assembly (e.g., ASC, procaspase 1) but also for A20, a TNIP1 partner protein that represses cell-death signaling. Despite this possibly compensatory increase in A20 mRNA, there was a decrease in phospho-A20 protein, the form necessary for quenching inflammation. Hyperresponsiveness to poly (I:C) in TNIP1-deficient keratinocytes was in part mediated through p38 and JNK pathways. Taken together, we conclude that TNIP1 deficiency promotes enhanced expression of factors associated with promoting wound healing. However, the coupled, increased potential priming of the inflammasome and reduced compensatory activity of A20 has a net negative effect on overall cell recovery potential manifested by poor reepithelialization and viability. These findings suggest a previously unrecognized role for TNIP1 protein in limiting inflammation during successful progression through early wound healing stages.
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38
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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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Lei Q, Gu H, Li L, Wu T, Xie W, Li M, Zhao N. TNIP1-mediated TNF-α/NF-κB signalling cascade sustains glioma cell proliferation. J Cell Mol Med 2019; 24:530-538. [PMID: 31691497 PMCID: PMC6933386 DOI: 10.1111/jcmm.14760] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 09/16/2019] [Accepted: 10/09/2019] [Indexed: 12/16/2022] Open
Abstract
As a malignant tumour of the central nervous system, glioma exhibits high incidence and poor prognosis. Although TNIP1 and the TNF‐α/NF‐κB axis play key roles in immune diseases and inflammatory responses, their relationship and role in glioma remain unknown. Here, we revealed high levels of TNIP1 and TNF‐α/NF‐κB in glioma tissue. Glioma cell proliferation was activated with TNF‐α treatment and showed extreme sensitivity to the TNF receptor antagonist. Furthermore, loss of TNIP1 disbanded the A20 complex responsible for IκB degradation and NF‐κB nucleus translocation, and consequently erased TNFα‐induced glioma cell proliferation. Thus, our investigation uncovered a vital function of the TNIP1‐mediated TNF‐α/NF‐κB axis in glioma cell proliferation and provides novel insight into glioma pathology and diagnosis.
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Affiliation(s)
- Qingchun Lei
- Neurosurgery Department, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.,Pu'er City People's Hospital, Pu'er, China
| | - Huan Gu
- Biochemistry and Molecular Biology Laboratory, School of Life Sciences, Yunnan University, Kunming, China
| | - Lei Li
- Neurosurgery Department, The Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Tingting Wu
- Neurosurgery Department, The Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Wentao Xie
- Neurosurgery Department, The Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Meizhang Li
- Biochemistry and Molecular Biology Laboratory, School of Life Sciences, Yunnan University, Kunming, China
| | - Ninghui Zhao
- Neurosurgery Department, The Second Affiliated Hospital of Kunming Medical University, Kunming, China
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López-Isac E, Acosta-Herrera M, Kerick M, Assassi S, Satpathy AT, Granja J, Mumbach MR, Beretta L, Simeón CP, Carreira P, Ortego-Centeno N, Castellvi I, Bossini-Castillo L, Carmona FD, Orozco G, Hunzelmann N, Distler JHW, Franke A, Lunardi C, Moroncini G, Gabrielli A, de Vries-Bouwstra J, Wijmenga C, Koeleman BPC, Nordin A, Padyukov L, Hoffmann-Vold AM, Lie B, Proudman S, Stevens W, Nikpour M, Vyse T, Herrick AL, Worthington J, Denton CP, Allanore Y, Brown MA, Radstake TRDJ, Fonseca C, Chang HY, Mayes MD, Martin J. GWAS for systemic sclerosis identifies multiple risk loci and highlights fibrotic and vasculopathy pathways. Nat Commun 2019; 10:4955. [PMID: 31672989 PMCID: PMC6823490 DOI: 10.1038/s41467-019-12760-y] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 09/30/2019] [Indexed: 12/12/2022] Open
Abstract
Systemic sclerosis (SSc) is an autoimmune disease that shows one of the highest mortality rates among rheumatic diseases. We perform a large genome-wide association study (GWAS), and meta-analysis with previous GWASs, in 26,679 individuals and identify 27 independent genome-wide associated signals, including 13 new risk loci. The novel associations nearly double the number of genome-wide hits reported for SSc thus far. We define 95% credible sets of less than 5 likely causal variants in 12 loci. Additionally, we identify specific SSc subtype-associated signals. Functional analysis of high-priority variants shows the potential function of SSc signals, with the identification of 43 robust target genes through HiChIP. Our results point towards molecular pathways potentially involved in vasculopathy and fibrosis, two main hallmarks in SSc, and highlight the spectrum of critical cell types for the disease. This work supports a better understanding of the genetic basis of SSc and provides directions for future functional experiments.
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Affiliation(s)
- Elena López-Isac
- Institute of Parasitology and Biomedicine López-Neyra, IPBLN-CSIC, Granada, Spain.
| | | | - Martin Kerick
- Institute of Parasitology and Biomedicine López-Neyra, IPBLN-CSIC, Granada, Spain
| | - Shervin Assassi
- The University of Texas Health Science Center-Houston, Houston, USA
| | - Ansuman T Satpathy
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Jeffrey Granja
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Maxwell R Mumbach
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Lorenzo Beretta
- Referral Center for Systemic Autoimmune Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy
| | - Carmen P Simeón
- Department of Internal Medicine, Valle de Hebrón Hospital, Barcelona, Spain
| | - Patricia Carreira
- Department of Rheumatology, 12 de Octubre University Hospital, Madrid, Spain
| | | | - Ivan Castellvi
- Department of Rheumatology, Santa Creu i Sant Pau University Hospital, Barcelona, Spain
| | | | - F David Carmona
- Department of Genetics and Institute of Biotechnology, University of Granada, Granada, Spain
| | - Gisela Orozco
- 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, Oxford Road, Manchester, UK
| | | | - Jörg H W Distler
- Department of Internal Medicine 3, Institute for Clinical Immunology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Claudio Lunardi
- Department of Medicine, Università degli Studi di Verona, Verona, Italy
| | - Gianluca Moroncini
- Clinica Medica, Department of Clinical and Molecular Science, Università Politecnica delle Marche and Ospedali Riuniti, Ancona, Italy
| | - Armando Gabrielli
- Clinica Medica, Department of Clinical and Molecular Science, Università Politecnica delle Marche and Ospedali Riuniti, Ancona, Italy
| | | | - Cisca Wijmenga
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | | | - Annika Nordin
- Division of Rheumatology, Department of Medicine, Karolinska University Hospital, Karolinska Institute, Stockholm, Sweden
| | - Leonid Padyukov
- Division of Rheumatology, Department of Medicine, Karolinska University Hospital, Karolinska Institute, Stockholm, Sweden
| | | | - Benedicte Lie
- Department of Medical Genetics, and the Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Susanna Proudman
- Royal Adelaide Hospital and University of Adelaide, Adelaide, SA, Australia
| | | | - Mandana Nikpour
- The University of Melbourne at St. Vincent's Hospital, Melbourne, VIC, Australia
| | - Timothy Vyse
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Ariane L Herrick
- Centre for Musculoskeletal Research, The University of Manchester, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester, UK
| | - Jane Worthington
- 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, Oxford Road, Manchester, UK
| | - Christopher P Denton
- Centre for Rheumatology, Royal Free and University College Medical School, London, United Kingdom
| | - Yannick Allanore
- Department of Rheumatology A, Cochin Hospital, INSERM U1016, Paris Descartes University, Paris, France
| | - Matthew A Brown
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Timothy R D J Radstake
- Department of Rheumatology & Clinical Immunology, Laboratory of Translational Immunology, department of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Carmen Fonseca
- Centre for Rheumatology, Royal Free and University College Medical School, London, United Kingdom
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Maureen D Mayes
- The University of Texas Health Science Center-Houston, Houston, USA
| | - Javier Martin
- Institute of Parasitology and Biomedicine López-Neyra, IPBLN-CSIC, Granada, Spain.
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Lambert NC. Nonendocrine mechanisms of sex bias in rheumatic diseases. Nat Rev Rheumatol 2019; 15:673-686. [PMID: 31597952 DOI: 10.1038/s41584-019-0307-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2019] [Indexed: 12/22/2022]
Abstract
Rheumatic diseases affect a wide range of individuals of all ages, but the most common diseases occur more frequently in women than in men, at ratios of up to ten women to one man. Despite a growing number of studies on sex bias in rheumatic diseases, sex-specific health care is limited and sex specificity is not systematically integrated into treatment regimens. Women and men differ in three major biological points: the number of X chromosomes per cell, the type and quantities of sex hormones present and the ability to be pregnant, all of which have immunological consequences. Could a greater understanding of these differences lead to a new era of personalized sex-specific medicine? This Review focuses on the main genetic and epigenetic mechanisms that have been put forward to explain sex bias in rheumatic diseases, including X chromosome inactivation, sex chromosome aneuploidy and microchimerism. The influence of sex hormones is not discussed in detail in this Review, as it has been well described elsewhere. Understanding the sex-specific factors that contribute to the initiation and progression of rheumatic diseases will enable progress to be made in the diagnosis, treatment and management of all patients with these conditions.
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Affiliation(s)
- Nathalie C Lambert
- INSERM UMRs 1097 Arthrites Autoimmunes, Aix Marseille Université, Marseille, France.
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Abstract
Systemic sclerosis (SSc) is a severe autoimmune disease that is characterized by vascular abnormalities, immunological alterations and fibrosis of the skin and internal organs. The results of genetic studies in patients with SSc have revealed statistically significant genetic associations with disease manifestations and progression. Nevertheless, genetic susceptibility to SSc is moderate, and the functional consequences of genetic associations remain only partially characterized. A current hypothesis is that, in genetically susceptible individuals, epigenetic modifications constitute the driving force for disease initiation. As epigenetic alterations can occur years before fibrosis appears, these changes could represent a potential link between inflammation and tissue fibrosis. Epigenetics is a fast-growing discipline, and a considerable number of important epigenetic studies in SSc have been published in the past few years that span histone post-translational modifications, DNA methylation, microRNAs and long non-coding RNAs. This Review describes the latest insights into genetic and epigenetic contributions to the pathogenesis of SSc and aims to provide an improved understanding of the molecular pathways that link inflammation and fibrosis. This knowledge will be of paramount importance for the development of medicines that are effective in treating or even reversing tissue fibrosis.
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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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TNFAIP3 genetic polymorphisms reduce ankylosing spondylitis risk in Eastern Chinese Han population. Sci Rep 2019; 9:10209. [PMID: 31308453 PMCID: PMC6629655 DOI: 10.1038/s41598-019-46647-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 06/28/2019] [Indexed: 02/06/2023] Open
Abstract
This study was conducted to clarify the associations of tumor necrosis factor-α induced protein 3 (TNFAIP3) and TNFAIP3-interacting protein 1 (TNIP1) genetic polymorphisms with ankylosing spondylitis (AS) susceptibility. Five single nucleotide polymorphisms (SNPs) in TNFAIP3 gene and four in TNIP1 gene were genotyped in 667 AS patients and 667 matched healthy controls. Genotypes and haplotype analysis were conducted by using SPSS 23.0 and Haploview 4.2 software. The T allele and CT genotype in TNFAIP3 rs10499194 were significantly associated with a reduced AS risk (T allele vs. C allele, OR = 0.619, 95% CI = 0.430–0.889, P = 0.009; CT vs. CC, OR = 0.603, 95% CI = 0.416–0.875, P = 0.007). However, no association remained significant after Bonferroni correction. The rs13207033A- rs10499194T haplotype of TNFAIP3 conferred a protective effect on AS susceptibility. Stratification analyses suggested that rs10499194 polymorphism decreased the risk of AS in the male subgroup, subgroup aged ≥ 29, HLA-B27 positive subgroup as well as the subgroups of BASFI < 4 and BASDAI < 4 (all P < 0.05). Furthermore, the functional annotation suggested a potential function of rs10499194 mutation. Our results demonstrated that TNFAIP3 rs10499194 polymorphism may be associated with a reduced risk of AS.
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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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Skaug B, Assassi S. Type I interferon dysregulation in Systemic Sclerosis. Cytokine 2019; 132:154635. [PMID: 30685202 DOI: 10.1016/j.cyto.2018.12.018] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 11/28/2018] [Accepted: 12/20/2018] [Indexed: 12/12/2022]
Abstract
Systemic Sclerosis (Scleroderma, SSc) is a multifaceted disease characterized by autoimmunity, vasculopathy, and fibrosis affecting the skin and internal organs. Despite advances in the understanding and treatment of SSc in recent years, SSc continues to cause reduced quality of life and premature mortality. Type I interferons (IFNs), a family of cytokines with essential roles in the immune response to microbial infection, play a pathogenic role in certain autoimmune diseases (reviewed elsewhere in this edition). Polymorphisms in interferon-regulatory factors confer an increased risk of SSc, and IFN excess is evident in the blood and skin of a large percentage of SSc patients. Here we describe the evidence of Type I IFN dysregulation in SSc, revealed predominately by genetics and gene expression profiling. We also discuss evidence regarding mechanisms by which Type I IFN might contribute to SSc pathogenesis, mechanisms driving excess Type I IFN production in SSc, and the potential roles of Type I IFNs as biomarkers and therapeutic targets in SSc.
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Affiliation(s)
- Brian Skaug
- The University of Texas Health Science Center in Houston, Division of Rheumatology, 6431 Fannin, MSB 5.262, Houston, TX 77030, United States
| | - Shervin Assassi
- The University of Texas Health Science Center in Houston, Division of Rheumatology, 6431 Fannin, MSB 5.262, Houston, TX 77030, United States.
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Clinical Implication and the Hereditary Factors of NM23 in Hepatocellular Carcinoma Based on Bioinformatics Analysis and Genome-Wide Association Study. JOURNAL OF ONCOLOGY 2018; 2018:6594169. [PMID: 30662464 PMCID: PMC6312618 DOI: 10.1155/2018/6594169] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 11/08/2018] [Accepted: 11/27/2018] [Indexed: 12/13/2022]
Abstract
NM23 expression is closely associated with hepatocellular carcinoma (HCC) recurrence, but the hereditary factors influencing NM23 levels are unknown. Using public database, the diagnostic value of NM23 in HCC was investigated. A total of 424 hepatitis B virus- (HBV-) related HCC patients were enrolled to perform a genome–wide association study for identifying candidate variants associated with NM23 expression level. Additionally, a logistic regression model, haplotypes, and survival analysis were performed in the subsequent analysis. We identified high NM23 expression levels that have a diagnostic accuracy in HCC tissues and had a poor recurrence-free survival in HBV-related HCC patients. Variants near Psoriasis susceptibility 1 candidate 1 (PSORS1C1) and StAR related lipid transdomain containing 3 (STARD3) are associated with NM23 expression. The PSORS1C1 haplotype TGCACA and the STARD3 haplotype GG have favorable cumulative effects on NM23 expression. Further, variants in PSORS1C1 were associated with either overall survival (rs556285588, rs3095301, and rs3131003) only or overall survival and recurrence-free survival (rs560052000 and rs541820233) both in HCC patients. Our findings suggested that variants at the PSORS1C1 and STARD3 loci play an important role in NM23 regulation. Moreover, variants in PSORS1C1 are potential biomarkers for the prediction of postoperative clinical outcomes in HBV-related HCC patients. Thus, variants in PSORS1C1 and STARD3 are associated with NM23 expression and clinical outcomes of HBV-related HCC patients, which may be regarded as potential biomarkers for this disease.
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Belbasis L, Dosis V, Evangelou E. Elucidating the environmental risk factors for rheumatic diseases: An umbrella review of meta-analyses. Int J Rheum Dis 2018; 21:1514-1524. [PMID: 30146746 DOI: 10.1111/1756-185x.13356] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 06/20/2018] [Indexed: 12/13/2022]
Abstract
AIMS Although rheumatic diseases constitute a leading cause of disability, the environmental risk factors for these diseases are not clarified. In the present study, we aim to systematically appraise the epidemiological credibility of the environmental risk factors for rheumatic diseases. METHODS We systematically searched PubMed to capture meta-analyses of observational studies on environmental risk factors for the most prevalent rheumatic diseases. For each association, we estimated the summary effect size estimate, the 95% confidence and prediction intervals, and the I2 metric. We further examined the presence of small-study effects and excess significance bias. RESULTS Overall, we identified 30 eligible papers describing 42 associations. Thirty-three associations were statistically significant at P < 0.05, whereas 13 of them were statistically significant at P < 1 × 10-6 . Thirty-two associations had large or very large between-study heterogeneity. In 12 associations, evidence of small-study effects and/or excess significance bias was found. Six risk factors (nine associations) presented convincing or highly suggestive evidence of association: smoking and pack-years of smoking for rheumatoid arthritis; BMI (per 5 kg/m2 increase) for gout and hip osteoarthritis; alcohol consumption for gout; BMI (overweight vs lean, obese vs lean), knee injury and participation in heavy work for knee osteoarthritis. CONCLUSION Our umbrella review indicated that a narrow range of risk factors has been examined for rheumatic diseases. Current evidence strongly supports that smoking, obesity, alcohol consumption, knee injury, and work activities are associated with risk for at least one rheumatic disease.
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Affiliation(s)
- Lazaros Belbasis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Vasilios Dosis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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Long Y, Chen W, Du Q, Zuo X, Zhu H. Ubiquitination in Scleroderma Fibrosis and Its Treatment. Front Immunol 2018; 9:2383. [PMID: 30386338 PMCID: PMC6199354 DOI: 10.3389/fimmu.2018.02383] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 09/25/2018] [Indexed: 12/11/2022] Open
Abstract
Scleroderma (systemic sclerosis, SSc) is a highly heterogeneous rheumatic disease, and uncontrolled fibrosis in visceral organs is the major cause of death in patients. The transforming growth factor-β (TGF-β) and WNT/β-catenin signaling pathways, along with signal transducer and activator of transcription 3 (STAT3), play crucial roles in this fibrotic process. Currently, no therapy is available that effectively arrests or reverses the progression of fibrosis in patients with SSc. Ubiquitination is an important post-translational modification that controls many critical cellular functions. Dysregulated ubiquitination events have been observed in patients with systemic lupus erythematosus, rheumatoid arthritis and fibrotic diseases. Inhibitors targeting the ubiquitination pathway have considerable potential for the treatment of rheumatic diseases. However, very few studies have examined the role and mechanism of ubiquitination in patients with SSc. In this review, we will summarize the molecular mechanisms of ubiquitination in patients with SSc and explore the potential targets for treatment.
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Affiliation(s)
- Ying Long
- Department of Rheumatology, Xiangya Hospital, Central South University, Changsha, China
| | - Weilin Chen
- Department of Rheumatology, Xiangya Hospital, Central South University, Changsha, China
| | - Qian Du
- Department of Rheumatology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoxia Zuo
- Department of Rheumatology, Xiangya Hospital, Central South University, Changsha, China
| | - Honglin Zhu
- Department of Rheumatology, Xiangya Hospital, Central South University, Changsha, China
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Shamilov R, Aneskievich BJ. TNIP1 in Autoimmune Diseases: Regulation of Toll-like Receptor Signaling. J Immunol Res 2018; 2018:3491269. [PMID: 30402506 PMCID: PMC6192141 DOI: 10.1155/2018/3491269] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 09/17/2018] [Indexed: 02/08/2023] Open
Abstract
TNIP1 protein is increasingly being recognized as a key repressor of inflammatory signaling and a potential factor in multiple autoimmune diseases. In addition to earlier foundational reports of TNIP1 SNPs in human autoimmune diseases and TNIP1 protein-protein interaction with receptor regulating proteins, more recent studies have identified new potential interaction partners and signaling pathways likely modulated by TNIP1. Subdomains within the TNIP1 protein as well as how they interact with ubiquitin have not only been mapped but inflammatory cell- and tissue-specific consequences subsequent to their defective function are being recognized and related to human disease states such as lupus, scleroderma, and psoriasis. In this review, we emphasize receptor signaling complexes and regulation of cytoplasmic signaling steps downstream of TLR given their association with some of the same autoimmune diseases where TNIP1 has been implicated. TNIP1 dysfunction or deficiency may predispose healthy cells to the inflammatory response to otherwise innocuous TLR ligand exposure. The recognition of the anti-inflammatory roles of TNIP1 and improved integrated understanding of its physical and functional association with other signaling pathway proteins may position TNIP1 as a candidate target for the design and/or testing of next-generation anti-inflammatory therapeutics.
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Affiliation(s)
- Rambon Shamilov
- Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269-3092, USA
- Graduate Program in Pharmacology & Toxicology, University of Connecticut, Storrs, CT 06269-3092, USA
| | - Brian J. Aneskievich
- Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269-3092, USA
- Stem Cell Institute, University of Connecticut, Storrs, CT 06269-3092, USA
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