1
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Wang Q, Kim T, Martínez-Bonet M, Aguiar VRC, Sim S, Cui J, Sparks JA, Chen X, Todd M, Wauford B, Marion MC, Langefeld CD, Weirauch MT, Gutierrez-Arcelus M, Nigrovic PA. High-throughput identification of functional regulatory SNPs in systemic lupus erythematosus. Nat Commun 2024; 15:6804. [PMID: 39122710 PMCID: PMC11315931 DOI: 10.1038/s41467-024-50710-5] [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: 08/14/2023] [Accepted: 07/17/2024] [Indexed: 08/12/2024] Open
Abstract
Genome-wide association studies implicate multiple loci in risk for systemic lupus erythematosus (SLE), but few contain exonic variants, rendering systematic identification of non-coding variants essential to decoding SLE genetics. We utilized SNP-seq and bioinformatic enrichment to interrogate 2180 single-nucleotide polymorphisms (SNPs) from 87 SLE risk loci for potential binding of transcription factors and related proteins from B cells. 52 SNPs that passed initial screening were tested by electrophoretic mobility shift and luciferase reporter assays. To validate the approach, we studied rs2297550 in detail, finding that the risk allele enhanced binding to the transcription factor Ikaros (encoded by IKZF1), thereby modulating expression of IKBKE. Correspondingly, primary cells from genotyped healthy donors bearing the risk allele expressed higher levels of the interferon / NF-κB regulator IKKε. Together, these findings define a set of likely functional non-coding lupus risk variants and identify a regulatory pathway involving rs2297550, Ikaros, and IKKε implicated by human genetics in risk for SLE.
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Affiliation(s)
- Qiang Wang
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Taehyeung Kim
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marta Martínez-Bonet
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Laboratory of Immune-regulation, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Vitor R C Aguiar
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sangwan Sim
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jing Cui
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeffrey A Sparks
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Xiaoting Chen
- Center of Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Marc Todd
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brian Wauford
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Miranda C Marion
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Matthew T Weirauch
- Center of Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Divisions of Human Genetics, Biomedical Informatics, and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Maria Gutierrez-Arcelus
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Peter A Nigrovic
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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2
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Chen M, Zhang Y, Shi W, Song X, Yang Y, Hou G, Ding H, Chen S, Yang W, Shen N, Cui Y, Zuo X, Tang Y. SPATS2L is a positive feedback regulator of the type I interferon signaling pathway and plays a vital role in lupus. Acta Biochim Biophys Sin (Shanghai) 2024. [PMID: 39099414 DOI: 10.3724/abbs.2024132] [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: 08/06/2024] Open
Abstract
Through genome-wide association studies (GWAS) and integrated expression quantitative trait locus (eQTL) analyses, numerous susceptibility genes ("eGenes", whose expressions are significantly associated with common variants) associated with systemic lupus erythematosus (SLE) have been identified. Notably, a subset of these eGenes is correlated with disease activity. However, the precise mechanisms through which these genes contribute to the initiation and progression of the disease remain to be fully elucidated. In this investigation, we initially identify SPATS2L as an SLE eGene correlated with disease activity. eSignaling and transcriptomic analyses suggest its involvement in the type I interferon (IFN) pathway. We observe a significant increase in SPATS2L expression following type I IFN stimulation, and the expression levels are dependent on both the concentration and duration of stimulation. Furthermore, through dual-luciferase reporter assays, western blot analysis, and imaging flow cytometry, we confirm that SPATS2L positively modulates the type I IFN pathway, acting as a positive feedback regulator. Notably, siRNA-mediated intervention targeting SPATS2L, an interferon-inducible gene, in peripheral blood mononuclear cells (PBMCs) from patients with SLE reverses the activation of the interferon pathway. In conclusion, our research highlights the pivotal role of SPATS2L as a positive-feedback regulatory molecule within the type I IFN pathway. Our findings suggest that SPATS2L plays a critical role in the onset and progression of SLE and may serve as a promising target for disease activity assessment and intervention strategies.
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Affiliation(s)
- Mengke Chen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200001, China
| | - Yutong Zhang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200001, China
| | - Weiwen Shi
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200001, China
| | - Xuejiao Song
- Department of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yue Yang
- Department of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China
- Department of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, China
| | - Guojun Hou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200001, China
| | - Huihua Ding
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200001, China
| | - Sheng Chen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200001, China
| | - Wanling Yang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong 999077, China
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200001, China
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200032, China
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati OH 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati OH 45229, USA
| | - Yong Cui
- Department of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Xianbo Zuo
- Department of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China
- Department of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yuanjia Tang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200001, China
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3
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Zwick D, Vo MT, Shim YJ, Reijonen H, Do JS. BACH2: The Future of Induced T-Regulatory Cell Therapies. Cells 2024; 13:891. [PMID: 38891024 PMCID: PMC11172166 DOI: 10.3390/cells13110891] [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: 04/16/2024] [Revised: 05/17/2024] [Accepted: 05/20/2024] [Indexed: 06/20/2024] Open
Abstract
BACH2 (BTB Domain and CNC Homolog 2) is a transcription factor that serves as a central regulator of immune cell differentiation and function, particularly in T and B lymphocytes. A picture is emerging that BACH2 may function as a master regulator of cell fate that is exquisitely sensitive to cell activation status. In particular, BACH2 plays a key role in stabilizing the phenotype and suppressive function of transforming growth factor-beta (TGF-β)-derived human forkhead box protein P3 (FOXP3)+ inducible regulatory T cells (iTregs), a cell type that holds great clinical potential as a cell therapeutic for diverse inflammatory conditions. As such, BACH2 potentially could be targeted to overcome the instability of the iTreg phenotype and suppressive function that has hampered their clinical application. In this review, we focus on the role of BACH2 in T cell fate and iTreg function and stability. We suggest approaches to modulate BACH2 function that may lead to more stable and efficacious Treg cell therapies.
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Affiliation(s)
- Daniel Zwick
- Frederick National Laboratory, Frederick, MD 21701, USA
| | - Mai Tram Vo
- School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Young Jun Shim
- Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA;
| | - Helena Reijonen
- Department of Immunology and Theranostics, City of Hope, Duarte, CA 91010, USA;
| | - Jeong-su Do
- Department of Immunology and Theranostics, City of Hope, Duarte, CA 91010, USA;
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4
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Mok CC. Polygenic risk score: the potential role in the management of systemic lupus erythematosus. RMD Open 2024; 10:e004156. [PMID: 38702063 DOI: 10.1136/rmdopen-2024-004156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 02/21/2024] [Indexed: 05/06/2024] Open
Affiliation(s)
- Chi Chiu Mok
- Department of Medicine and Geriatrics, Tuen Mun Hospital, New Territories, Hong Kong
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Chen YJ, Hsiao TH, Lin YC, Jeng WJ, Mao CL, Wei CY, Hsieh YC, Huang CJ, Pan MH, Chen IC, Lin CH, Chen YM, Yang HI. Polygenic Risk Score Predicts Earlier-Onset Adult Systemic Lupus Erythematosus and First-Year Renal Diseases in a Taiwanese Cohort. RMD Open 2024; 10:e003293. [PMID: 38637112 PMCID: PMC11146410 DOI: 10.1136/rmdopen-2023-003293] [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: 05/07/2023] [Accepted: 01/26/2024] [Indexed: 04/20/2024] Open
Abstract
OBJECTIVES This study aimed to develop a predictive model using polygenic risk score (PRS) to forecast renal outcomes for adult systemic lupus erythematosus (SLE) in a Taiwanese population. METHODS Patients with SLE (n=2782) and matched non-SLE controls (n=11 128) were genotyped using Genome-Wide TWB 2.0 single-nucleotide polymorphism (SNP) array. PRS models (C+T, LDpred2, Lassosum, PRSice-2, PRS-continuous shrinkage (CS)) were constructed for predicting SLE susceptibility. Logistic regression was assessed for C+T-based PRS association with renal involvement in patients with SLE. RESULTS In the training set, C+T-based SLE-PRS, only incorporating 27 SNPs, outperformed other models with area under the curve (AUC) values of 0.629, surpassing Lassosum (AUC=0.621), PRSice-2 (AUC=0.615), LDpred2 (AUC=0.609) and PRS-CS (AUC=0.602). Additionally, C+T-based SLE-PRS demonstrated consistent predictive capacity in the testing set (AUC=0.620). Individuals in the highest quartile exhibited earlier SLE onset (39.06 vs 44.22 years, p<0.01), higher Systemic Lupus Erythematosus Disease Activity Index scores (3.00 vs 2.37, p=0.04), elevated risks of renal involvement within the first year of SLE diagnosis, including WHO class III-IV lupus nephritis (OR 2.36, 95% CI 1.47 to 3.80, p<0.01), estimated glomerular filtration rate <60 mL/min/1.73m2 (OR 1.49, 95% CI 1.18 to 1.89, p<0.01) and urine protein-to-creatinine ratio >150 mg/day (OR 2.07, 95% CI 1.49 to 2.89, p<0.01), along with increased seropositivity risks, compared with those in the lowest quartile. Furthermore, among patients with SLE with onset before 50 years, the highest PRS quartile was significantly associated with more serious renal diseases within the first year of SLE diagnosis. CONCLUSIONS PRS of SLE is associated with earlier onset, renal involvement within the first year of SLE diagnosis and seropositivity in Taiwanese patients. Integrating PRS with clinical decision-making may enhance lupus nephritis screening and early treatment to improve renal outcomes in patients with SLE.
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Affiliation(s)
- Yen-Ju Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Tzu-Hung Hsiao
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
- Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung, Taiwan
| | - Ying-Cheng Lin
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wen-Juei Jeng
- Division of Hepatogastroenterology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chien-Lin Mao
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chia-Yi Wei
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yi-Chung Hsieh
- Division of Hepatogastroenterology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chih-Jen Huang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Mei-Hung Pan
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - I-Chieh Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Ching-Heng Lin
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
- Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan
- Institute of Public Health and Community Medicine Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yi-Ming Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Hwai-I Yang
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Biomedical Translation Research Center, Academia Sinica, Taipei, Taiwan
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6
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Nigrovic PA, Wang Q, Kim T, Martinez-Bonet M, Aguiar VRC, Sim S, Cui J, Sparks JA, Chen X, Todd M, Wauford B, Marion MC, Langefeld CD, Weirauch MT, Gutierrez-Arcelus M. High-throughput identification of functional regulatory SNPs in systemic lupus erythematosus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.08.16.553538. [PMID: 37645953 PMCID: PMC10462027 DOI: 10.1101/2023.08.16.553538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Genome-wide association studies implicate multiple loci in risk for systemic lupus erythematosus (SLE), but few contain exonic variants, rendering systematic identification of non-coding variants essential to decoding SLE genetics. We utilized SNP-seq and bioinformatic enrichment to interrogate 2180 single-nucleotide polymorphisms (SNPs) from 87 SLE risk loci for potential binding of transcription factors and related proteins from B cells. 52 SNPs that passed initial screening were tested by electrophoretic mobility shift and luciferase reporter assays. To validate the approach, we studied rs2297550 in detail, finding that the risk allele enhanced binding to the transcription factor Ikaros (IKZF1), thereby modulating expression of IKBKE. Correspondingly, primary cells from genotyped healthy donors bearing the risk allele expressed higher levels of the interferon / NF-κB regulator IKKϵ. Together, these findings define a set of likely functional non-coding lupus risk variants and identify a new regulatory pathway involving rs2297550, Ikaros, and IKKϵ implicated by human genetics in risk for SLE.
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7
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Fu Y, Kelly JA, Gopalakrishnan J, Pelikan RC, Tessneer KL, Pasula S, Grundahl K, Murphy DA, Gaffney PM. Massively parallel reporter assay confirms regulatory potential of hQTLs and reveals important variants in lupus and other autoimmune diseases. HGG ADVANCES 2024; 5:100279. [PMID: 38389303 PMCID: PMC10943488 DOI: 10.1016/j.xhgg.2024.100279] [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: 09/08/2023] [Revised: 02/15/2024] [Accepted: 02/18/2024] [Indexed: 02/24/2024] Open
Abstract
We designed a massively parallel reporter assay (MPRA) in an Epstein-Barr virus transformed B cell line to directly characterize the potential for histone post-translational modifications, i.e., histone quantitative trait loci (hQTLs), expression QTLs (eQTLs), and variants on systemic lupus erythematosus (SLE) and autoimmune (AI) disease risk haplotypes to modulate regulatory activity in an allele-dependent manner. Our study demonstrates that hQTLs, as a group, are more likely to modulate regulatory activity in an MPRA compared with other variant classes tested, including a set of eQTLs previously shown to interact with hQTLs and tested AI risk variants. In addition, we nominate 17 variants (including 11 previously unreported) as putative causal variants for SLE and another 14 for various other AI diseases, prioritizing these variants for future functional studies in primary and immortalized B cells. Thus, we uncover important insights into the mechanistic relationships among genotype, epigenetics, and gene expression in SLE and AI disease phenotypes.
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Affiliation(s)
- Yao Fu
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Jennifer A Kelly
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Jaanam Gopalakrishnan
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA; Neuro-Immune Regulome Unit, National Eye Institute, National Institute of Health, Bethesda, MD 20892, USA
| | - Richard C Pelikan
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Kandice L Tessneer
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Satish Pasula
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Kiely Grundahl
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - David A Murphy
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Patrick M Gaffney
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.
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8
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Zhang Y, Morris R, Brown GJ, Lorenzo AMD, Meng X, Kershaw NJ, Kiridena P, Burgio G, Gross S, Cappello JY, Shen Q, Wang H, Turnbull C, Lea-Henry T, Stanley M, Yu Z, Ballard FD, Chuah A, Lee JC, Hatch AM, Enders A, Masters SL, Headley AP, Trnka P, Mallon D, Fletcher JT, Walters GD, Šestan M, Jelušić M, Cook MC, Athanasopoulos V, Fulcher DA, Babon JJ, Vinuesa CG, Ellyard JI. Rare SH2B3 coding variants in lupus patients impair B cell tolerance and predispose to autoimmunity. J Exp Med 2024; 221:e20221080. [PMID: 38417019 PMCID: PMC10901239 DOI: 10.1084/jem.20221080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 03/14/2023] [Accepted: 01/17/2024] [Indexed: 03/01/2024] Open
Abstract
Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease with a clear genetic component. While most SLE patients carry rare gene variants in lupus risk genes, little is known about their contribution to disease pathogenesis. Amongst them, SH2B3-a negative regulator of cytokine and growth factor receptor signaling-harbors rare coding variants in over 5% of SLE patients. Here, we show that unlike the variant found exclusively in healthy controls, SH2B3 rare variants found in lupus patients are predominantly hypomorphic alleles, failing to suppress IFNGR signaling via JAK2-STAT1. The generation of two mouse lines carrying patients' variants revealed that SH2B3 is important in limiting the number of immature and transitional B cells. Furthermore, hypomorphic SH2B3 was shown to impair the negative selection of immature/transitional self-reactive B cells and accelerate autoimmunity in sensitized mice, at least in part due to increased IL-4R signaling and BAFF-R expression. This work identifies a previously unappreciated role for SH2B3 in human B cell tolerance and lupus risk.
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Affiliation(s)
- Yaoyuan Zhang
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Rhiannon Morris
- Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, Australia
| | - Grant J. Brown
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Ayla May D. Lorenzo
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Xiangpeng Meng
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Nadia J. Kershaw
- Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, Australia
| | - Pamudika Kiridena
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Gaétan Burgio
- Division of Genome Sciences and Cancer, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Simon Gross
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Jean Y. Cappello
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Qian Shen
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Francis Crick Institute, London, UK
| | - Hao Wang
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Francis Crick Institute, London, UK
| | - Cynthia Turnbull
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Tom Lea-Henry
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- The Canberra Hospital, Garran, Australia
| | - Maurice Stanley
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Zhijia Yu
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Fiona D. Ballard
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Aaron Chuah
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - James C. Lee
- Francis Crick Institute, London, UK
- Department of Gastroenterology, Division of Medicine, Institute for Liver and Digestive Health, University College London, London, UK
| | - Ann-Maree Hatch
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- The Canberra Hospital, Garran, Australia
| | - Anselm Enders
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Seth L. Masters
- Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, Australia
| | | | - Peter Trnka
- Queensland Children’s Hospital, South Brisbane, Australia
| | | | | | | | - Mario Šestan
- Department of Pediatrics, University of Zagreb School of Medicine, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Marija Jelušić
- Department of Pediatrics, University of Zagreb School of Medicine, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Matthew C. Cook
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- The Canberra Hospital, Garran, Australia
- Cambridge Institute for Therapeutic Immunology and Infectious Diseases, University of Cambridge, Cambridge, UK
| | - Vicki Athanasopoulos
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - David A. Fulcher
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
| | - Jeffrey J. Babon
- Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, Australia
| | - Carola G. Vinuesa
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Francis Crick Institute, London, UK
| | - Julia I. Ellyard
- Division of Immunology and Infectious Diseases, John Curtin School of Medical Research, The Australian National University, Acton, Australia
- Centre for Personalised Immunology, John Curtin School of Medical Research, The Australian National University, Acton, Australia
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9
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Timmins IR, Dudbridge F. Bayesian approach to assessing population differences in genetic risk of disease with application to prostate cancer. PLoS Genet 2024; 20:e1011212. [PMID: 38630784 PMCID: PMC11023298 DOI: 10.1371/journal.pgen.1011212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/07/2024] [Indexed: 04/19/2024] Open
Abstract
Population differences in risk of disease are common, but the potential genetic basis for these differences is not well understood. A standard approach is to compare genetic risk across populations by testing for mean differences in polygenic scores, but existing studies that use this approach do not account for statistical noise in effect estimates (i.e., the GWAS betas) that arise due to the finite sample size of GWAS training data. Here, we show using Bayesian polygenic score methods that the level of uncertainty in estimates of genetic risk differences across populations is highly dependent on the GWAS training sample size, the polygenicity (number of causal variants), and genetic distance (FST) between the populations considered. We derive a Wald test for formally assessing the difference in genetic risk across populations, which we show to have calibrated type 1 error rates under a simplified assumption that all SNPs are independent, which we achieve in practise using linkage disequilibrium (LD) pruning. We further provide closed-form expressions for assessing the uncertainty in estimates of relative genetic risk across populations under the special case of an infinitesimal genetic architecture. We suggest that for many complex traits and diseases, particularly those with more polygenic architectures, current GWAS sample sizes are insufficient to detect moderate differences in genetic risk across populations, though more substantial differences in relative genetic risk (relative risk > 1.5) can be detected. We show that conventional approaches that do not account for sampling error from the training sample, such as using a simple t-test, have very high type 1 error rates. When applying our approach to prostate cancer, we demonstrate a higher genetic risk in African Ancestry men, with lower risk in men of European followed by East Asian ancestry.
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Affiliation(s)
- Iain R. Timmins
- Department of Population Health Sciences, University of Leicester, Leicester, United Kingdom
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Statistical Innovation, AstraZeneca, Cambridge, United Kingdom
| | | | - Frank Dudbridge
- Department of Population Health Sciences, University of Leicester, Leicester, United Kingdom
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10
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Zhang Y, Hou G, Shen N. Non-coding DNA variants for risk in lupus. Best Pract Res Clin Rheumatol 2024:101937. [PMID: 38429183 DOI: 10.1016/j.berh.2024.101937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/08/2024] [Accepted: 02/12/2024] [Indexed: 03/03/2024]
Abstract
Systemic Lupus Erythematosus (SLE) is a multifactorial autoimmune disease that arises from a dynamic interplay between genetics and environmental triggers. The advent of sophisticated genomics technology has catalyzed a shift in our understanding of disease etiology, spotlighting the pivotal role of non-coding DNA variants in SLE pathogenesis. In this review, we present a comprehensive examination of the non-coding variants associated with SLE, shedding light on their role in influencing disease risk and progression. We discuss the latest methodological advancements that have been instrumental in the identification and functional characterization of these genomic elements, with a special focus on the transformative power of CRISPR-based gene-editing technologies. Additionally, the review probes into the therapeutic opportunities that arise from modulating non-coding regions associated with SLE. Through an exploration of the complex network of non-coding DNA, this review aspires to decode the genetic puzzle of SLE and set the stage for groundbreaking gene-based therapeutic interventions and the advancement of precision medicine strategies tailored to SLE management.
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Affiliation(s)
- Yutong Zhang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Guojun Hou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China.
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11
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Yang LQ, Qin Z, Fu L, Xu WD. Relationship between CD274 gene polymorphism and systemic lupus erythematosus risk in a Chinese Han population. Int J Rheum Dis 2024; 27:e15026. [PMID: 38287556 DOI: 10.1111/1756-185x.15026] [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: 06/07/2023] [Revised: 11/29/2023] [Accepted: 12/21/2023] [Indexed: 01/31/2024]
Abstract
OBJECTIVE Relationship between surface antigen differentiation cluster 274 (CD274) gene polymorphism and systemic lupus erythematosus (SLE) risk is limited. This study aims to discuss whether in a Chinese Han population, CD274 gene polymorphisms may relate to SLE susceptibility. METHODS Three hundred and ten SLE patients and 390 healthy controls were included in this case-control study. Using the Kompetitive Allele-Specific PCR (KASP) approach, five single nucleotide polymorphisms (SNPs), including rs2890658, rs4143815, rs822339, rs2282055, and rs2297137, were genotyped for CD274 gene polymorphisms. Correlation between the polymorphisms and clinical, laboratory features in SLE patients were discussed. RESULTS Frequency of C allele was substantially lower in SLE patients than in healthy controls (p = .015), and CC genotype was significantly negatively related to developing SLE at locus rs4143815 (p = .013). At locus rs822339, frequency of GA genotype was higher than that of the healthy controls (p = .006). At locus rs2282055, frequency of GG genotype was lower than that of healthy controls (p = .024). According to subgroup analysis, the CD274 gene polymorphisms rs2890658, rs4143815, rs822339, rs2282055, and rs2297137 were partly linked to some clinical symptoms of SLE patients, such as Complement 4 (C4), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR). CONCLUSION CD274 gene polymorphisms may be susceptible to SLE in the Chinese Han people.
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Affiliation(s)
- Lu-Qi Yang
- Department of Evidence-Based Medicine, Southwest Medical University, Luzhou, Sichuan, China
| | - Zhen Qin
- Department of Rheumatology and Immunology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Lu Fu
- Laboratory Animal Center, Southwest Medical University, Luzhou, Sichuan, China
| | - Wang-Dong Xu
- Department of Evidence-Based Medicine, Southwest Medical University, Luzhou, Sichuan, China
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12
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Xie W, Jiang H, Chen Y, Zhang H, Song Y, Yu Z, Gu H, Xu H, Han S, Li S, Liu N, Han S. Association between systemic lupus erythematosus and inflammatory bowel disease in European and East Asian populations: a two-sample Mendelian randomization study. Front Immunol 2023; 14:1199896. [PMID: 38022503 PMCID: PMC10654968 DOI: 10.3389/fimmu.2023.1199896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Background Previous studies have shown a coexistence phenomenon between systemic lupus erythematosus (SLE) and inflammatory bowel disease (IBD), but the causal relationship between them is still unclear. Therefore, we conducted a two-sample Mendelian randomization (MR) analysis using publicly available summary statistics data to evaluate whether there was a causal relationship between the two diseases. Methods Summary statistics for SLE and IBD were downloaded from the Open Genome-Wide Association Study and the International Inflammatory Bowel Disease Genetics Consortium. European and East Asian populations were included in this MR work. We adopted a series of methods to select instrumental variables that are closely related to SLE and IBD. To make the conclusion more reliable, we applied a variety of different analysis methods, among which the inverse variance-weighted (IVW) method was the main method. In addition, heterogeneity, pleiotropy, and sensitivity were assessed to make the conclusions more convincing. Results In the European population, a negative causal relationship was observed between SLE and overall IBD (OR = 0.94; 95% CI = 0.90, 0.98; P < 0.004) and ulcerative colitis (UC) (OR = 0.93; 95% CI = 0.88, 0.98; P = 0.006). After removing outliers with Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), the results remained consistent with IVW. However, there was no causal relationship between SLE and Crohn's disease. In the East Asian population, no causal relationship was found between SLE and IBD. Conclusion Our results found that genetic susceptibility to SLE was associated with lower overall IBD risk and UC risk in European populations. In contrast, no association between SLE and IBD was found in East Asian populations. This work might enrich the previous research results, and it may provide some references for research in the future.
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Affiliation(s)
- Weidong Xie
- Department of The Gastrointestinal Surgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Haojie Jiang
- Department of The Gastrointestinal Surgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yao Chen
- Department of Medical Oncology, Sir Run Run Shaw Hospital, School of Medicine, Graduate School, Zhejiang University, Hangzhou, China
| | | | - Yaoyu Song
- Wenzhou Medical University, Wenzhou, China
| | - Zhaojie Yu
- Wenzhou Medical University, Wenzhou, China
| | - Huayan Gu
- Department of Breast Surgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Hongkai Xu
- Department of The Gastrointestinal Surgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Saiyi Han
- The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou people’s Hospital, Quzhou, China
| | - Sen Li
- School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Naxin Liu
- Department of The Gastrointestinal Surgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Shaoliang Han
- Department of The Gastrointestinal Surgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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13
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Sun Q, Rowland B, Wang W, Miller-Fleming TW, Cox N, Graff M, Faucon A, Shuey MM, Blue EE, Auer P, Li Y, Sankaran VG, Reiner AP, Raffield LM. Genetic examination of hematological parameters in SARS-CoV-2 infection and COVID-19. Blood Cells Mol Dis 2023; 103:102782. [PMID: 37558590 PMCID: PMC10507673 DOI: 10.1016/j.bcmd.2023.102782] [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: 07/13/2023] [Accepted: 07/18/2023] [Indexed: 08/11/2023]
Abstract
People hospitalized with COVID-19 often exhibit altered hematological traits associated with disease prognosis (e.g., lower lymphocyte and platelet counts). We investigated whether inter-individual variability in baseline hematological traits influences risk of acute SARS-CoV-2 infection or progression to severe COVID-19. We report inconsistent associations between blood cell traits with incident SARS-CoV-2 infection and severe COVID-19 in UK Biobank and the Vanderbilt University Medical Center Synthetic Derivative (VUMC SD). Since genetically determined blood cell measures better represent cell abundance across the lifecourse, we also assessed the shared genetic architecture of baseline blood cell traits on COVID-19 related outcomes by Mendelian randomization (MR) analyses. We found significant relationships between COVID-19 severity and mean sphered cell volume after adjusting for multiple testing. However, MR results differed significantly across different freezes of COVID-19 summary statistics and genetic correlation between these traits was modest (0.1), decreasing our confidence in these results. We observed overlapping genetic association signals between other hematological and COVID-19 traits at specific loci such as MAPT and TYK2. In conclusion, we did not find convincing evidence of relationships between the genetic architecture of blood cell traits and either SARS-CoV-2 infection or COVID-19 hospitalization, though we do see evidence of shared signals at specific loci.
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Affiliation(s)
- Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Bryce Rowland
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Wanjiang Wang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Tyne W Miller-Fleming
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Nancy Cox
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Misa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Annika Faucon
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Megan M Shuey
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Elizabeth E Blue
- Department of Medicine, Division of Medical Genetics, University of Washington, Brotman Baty Institute for Precision Medicine, Seattle, WA, United States
| | - Paul Auer
- Division of Biostatistics, Institute for Health and Equity, Cancer Center, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
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Garrett-Sinha LA. An update on the roles of transcription factor Ets1 in autoimmune diseases. WIREs Mech Dis 2023; 15:e1627. [PMID: 37565573 PMCID: PMC10842644 DOI: 10.1002/wsbm.1627] [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: 05/11/2023] [Revised: 07/19/2023] [Accepted: 07/20/2023] [Indexed: 08/12/2023]
Abstract
Transcription factors are crucial to regulate gene expression in immune cells and in other cell types. In lymphocytes, there are a large number of different transcription factors that are known to contribute to cell differentiation and the balance between quiescence and activation. One such transcription factor is E26 oncogene homolog 1 (Ets1). Ets1 expression is high in quiescent B and T lymphocytes and its levels are decreased upon activation. The human ETS1 gene has been identified as a susceptibility locus for many autoimmune and inflammatory diseases. In accord with this, gene knockout of Ets1 in mice leads to development of a lupus-like autoimmune disease, with enhanced activation and differentiation of both B cells and T cells. Prior reviews have summarized functional roles for Ets1 based on studies of Ets1 knockout mice. In recent years, numerous additional studies have been published that further validate ETS1 as a susceptibility locus for human diseases where immune dysregulation plays a causative role. In this update, new information that further links Ets1 to human autoimmune diseases is organized and collated to serve as a resource. This update also describes recent studies that seek to understand molecularly how Ets1 regulates immune cell activation, either using human cells and tissues or mouse models. This resource is expected to be useful to investigators seeking to understand how Ets1 may regulate the human immune response, particularly in terms of its roles in autoimmunity and inflammation. This article is categorized under: Immune System Diseases > Genetics/Genomics/Epigenetics Immune System Diseases > Molecular and Cellular Physiology.
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Affiliation(s)
- Lee Ann Garrett-Sinha
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, New York, USA
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15
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Li W, Zhang H, Ren A, Fan W, Qin Q, Zhao L, Ma R, Peng Q, Luo S. Systemic lupus erythematosus is associated with lower risk of hepatitis B virus infection: A multivariable Mendelian randomization study in East Asian population. J Med Virol 2023; 95:e29226. [PMID: 37997467 DOI: 10.1002/jmv.29226] [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: 07/03/2023] [Revised: 10/04/2023] [Accepted: 10/31/2023] [Indexed: 11/25/2023]
Abstract
The relationship between systemic lupus erythematosus (SLE) and hepatitis B virus (HBV) infection is still unclear. We conducted a two-sample Mendelian randomization (MR) analysis using summary statistics from genome-wide association studies for SLE and HBV infection in individuals of East Asian ancestry. The inverse-variance weighted (IVW) method, weighted median (WM) method, and MR-Egger method were used to estimate the causal effect of SLE on HBV infection. Additionally, we performed a multivariable MR analysis adjusting for the effects of body mass index and rheumatoid arthritis. This MR study included a total of 225 106 individuals of East Asian ancestry, comprising 5616 cases and 219 490 controls. The IVW method (OR: 0.79, p = 3.34E-08) and the WM method (OR: 0.79, p = 9.09E-06) revealed a causal relationship between genetically predicted SLE and a low risk of HBV infection. The multivariable MR analysis still suggested a low risk of HBV infection associated with SLE (OR: 0.83, p = 2.89E-06). Our MR analysis supports a causal relationship between SLE and a low risk of HBV infection in individuals of East Asian ancestry.
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Affiliation(s)
- Wei Li
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Zhang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ao Ren
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wei Fan
- Department of Hepatobiliary Surgery, Chongqing Sixth People's Hospital, Chongqing, China
| | - Qiong Qin
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ling Zhao
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ruidong Ma
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qiufeng Peng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shiqiao Luo
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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16
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Pandey R, Bakay M, Hakonarson H. SOCS-JAK-STAT inhibitors and SOCS mimetics as treatment options for autoimmune uveitis, psoriasis, lupus, and autoimmune encephalitis. Front Immunol 2023; 14:1271102. [PMID: 38022642 PMCID: PMC10643230 DOI: 10.3389/fimmu.2023.1271102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/02/2023] [Indexed: 12/01/2023] Open
Abstract
Autoimmune diseases arise from atypical immune responses that attack self-tissue epitopes, and their development is intricately connected to the disruption of the JAK-STAT signaling pathway, where SOCS proteins play crucial roles. Conditions such as autoimmune uveitis, psoriasis, lupus, and autoimmune encephalitis exhibit immune system dysfunctions associated with JAK-STAT signaling dysregulation. Emerging therapeutic strategies utilize JAK-STAT inhibitors and SOCS mimetics to modulate immune responses and alleviate autoimmune manifestations. Although more research and clinical studies are required to assess their effectiveness, safety profiles, and potential for personalized therapeutic approaches in autoimmune conditions, JAK-STAT inhibitors and SOCS mimetics show promise as potential treatment options. This review explores the action, effectiveness, safety profiles, and future prospects of JAK inhibitors and SOCS mimetics as therapeutic agents for psoriasis, autoimmune uveitis, systemic lupus erythematosus, and autoimmune encephalitis. The findings underscore the importance of investigating these targeted therapies to advance treatment options for individuals suffering from autoimmune diseases.
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Affiliation(s)
- Rahul Pandey
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Marina Bakay
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Pediatrics, The University of Pennsylvania School of Medicine, Philadelphia, PA, United States
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Hedenstedt A, Reid S, Sayadi A, Eloranta ML, Skoglund E, Bolin K, Frodlund M, Lerang K, Jönsen A, Rantapää-Dahlqvist S, Bengtsson AA, Rudin A, Molberg Ø, Sjöwall C, Sandling JK, Leonard D. B cell polygenic risk scores associate with anti-dsDNA antibodies and nephritis in systemic lupus erythematosus. Lupus Sci Med 2023; 10:e000926. [PMID: 37844960 PMCID: PMC10582984 DOI: 10.1136/lupus-2023-000926] [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: 08/09/2023] [Indexed: 10/18/2023]
Abstract
OBJECTIVE B cell function and autoantibodies are important in SLE pathogenesis. In this work, we aimed to investigate the impact of cumulative SLE B cell genetics on SLE subphenotype and autoantibody profile. METHODS Female patients with SLE (n=1248) and healthy controls (n=400) were genotyped using Illumina's Global Screening Array. Two polygenic risk scores (PRSs), one representing B cell genes and the other B cell activation genes, were calculated for each individual using risk loci for SLE in genes assigned to B cell-related pathways according to the Kyoto Encyclopedia of Genes and Genomes, Gene Ontology and Reactome Databases. RESULTS Double-stranded DNA (dsDNA) antibodies were more prevalent among patients with a high compared with a low SLE B cell PRS (OR 1.47 (1.07 to 2.01), p=0.018), and effect sizes were augmented in patients with human leucocyte antigen (HLA) risk haplotypes HLA-DRB1*03:01 and HLA-DRB1*15:01 (DRB1*03/15 -/- (OR 0.99 (0.56 to 1.77), p=0.98; DRB1*03/15 +/- or -/+ (OR 1.64 (1.06 to 2.54), p=0.028; and DRB1*03/15 +/+ (OR 4.47 (1.21 to 16.47), p=0.024). Further, a high compared with a low B cell PRS was associated with low complement levels in DRB1*03/15 +/+ patients (OR 3.92 (1.22 to 12.64), p=0.022). The prevalence of lupus nephritis (LN) was higher in patients with a B cell activation PRS above the third quartile compared with patients below (OR 1.32 (1.00 to 1.74), p=0.048). CONCLUSIONS High genetic burden related to B cell function is associated with dsDNA antibody development and LN. Assessing B cell PRSs may be important in order to determine immunological pathways influencing SLE and to predict clinical phenotype.
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Affiliation(s)
- Anna Hedenstedt
- Rheumatology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Sarah Reid
- Rheumatology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ahmed Sayadi
- Rheumatology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Maija-Leena Eloranta
- Rheumatology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Elisabeth Skoglund
- Rheumatology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Karin Bolin
- Rheumatology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Martina Frodlund
- Department of Biomedical and Clinical Sciences, Division of Inflammation and Infection/Rheumatology, Linköping University, Linkoping, Sweden
| | - Karoline Lerang
- Department of Rheumatology, Oslo University Hospital, Oslo, Norway
| | - Andreas Jönsen
- Rheumatology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | | | - Anders A Bengtsson
- Rheumatology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Anna Rudin
- Department of Rheumatology and Inflammation Research, University of Gothenburg Sahlgrenska Academy, Gothenburg, Sweden
| | - Øyvind Molberg
- Department of Rheumatology, Oslo University Hospital, Oslo, Norway
| | - Christopher Sjöwall
- Department of Biomedical and Clinical Sciences, Division of Inflammation and Infection/Rheumatology, Linköping University, Linkoping, Sweden
| | - Johanna K Sandling
- Rheumatology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Dag Leonard
- Rheumatology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
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Fazel-Najafabadi M, Looger LL, Reddy-Rallabandi H, Nath SK. A multilayered post-GWAS analysis pipeline defines functional variants and target genes for systemic lupus erythematosus (SLE). MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.07.23288295. [PMID: 37066327 PMCID: PMC10104240 DOI: 10.1101/2023.04.07.23288295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Objectives Systemic lupus erythematosus (SLE), an autoimmune disease with incompletely understood etiology, has a strong genetic component. Although genome-wide association studies (GWAS) have revealed multiple SLE susceptibility loci and associated single nucleotide polymorphisms (SNPs), the precise causal variants, target genes, cell types, tissues, and mechanisms of action remain largely unknown. Methods Here, we report a comprehensive post-GWAS analysis using extensive bioinformatics, molecular modeling, and integrative functional genomic and epigenomic analyses to optimize fine-mapping. We compile and cross-reference immune cell-specific expression quantitative trait loci ( cis - and trans -eQTLs) with promoter-capture Hi-C, allele-specific chromatin accessibility, and massively parallel reporter assay data to define predisposing variants and target genes. We experimentally validate a predicted locus using CRISPR/Cas9 genome editing, qPCR, and Western blot. Results Anchoring on 452 index SNPs, we selected 9,931 high-linkage disequilibrium (r 2 >0.8) SNPs and defined 182 independent non-HLA SLE loci. 3,746 SNPs from 143 loci were identified as regulating 564 unique genes. Target genes are enriched in lupus-related tissues and associated with other autoimmune diseases. Of these, 329 SNPs (106 loci) showed significant allele-specific chromatin accessibility and/or enhancer activity, indicating regulatory potential. Using CRISPR/Cas9, we validated rs57668933 as a functional variant regulating multiple targets, including SLE risk gene ELF1 , in B-cells. Conclusion We demonstrate and validate post-GWAS strategies for utilizing multi-dimensional data to prioritize likely causal variants with cognate gene targets underlying SLE pathogenesis. Our results provide a catalog of significantly SLE-associated SNPs and loci, target genes, and likely biochemical mechanisms, to guide experimental characterization.
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Liang X, Livingstone S, Griffin J. Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models. ENTROPY (BASEL, SWITZERLAND) 2023; 25:1310. [PMID: 37761609 PMCID: PMC10528396 DOI: 10.3390/e25091310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/30/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023]
Abstract
Developing an efficient computational scheme for high-dimensional Bayesian variable selection in generalised linear models and survival models has always been a challenging problem due to the absence of closed-form solutions to the marginal likelihood. The Reversible Jump Markov Chain Monte Carlo (RJMCMC) approach can be employed to jointly sample models and coefficients, but the effective design of the trans-dimensional jumps of RJMCMC can be challenging, making it hard to implement. Alternatively, the marginal likelihood can be derived conditional on latent variables using a data-augmentation scheme (e.g., Pólya-gamma data augmentation for logistic regression) or using other estimation methods. However, suitable data-augmentation schemes are not available for every generalised linear model and survival model, and estimating the marginal likelihood using a Laplace approximation or a correlated pseudo-marginal method can be computationally expensive. In this paper, three main contributions are presented. Firstly, we present an extended Point-wise implementation of Adaptive Random Neighbourhood Informed proposal (PARNI) to efficiently sample models directly from the marginal posterior distributions of generalised linear models and survival models. Secondly, in light of the recently proposed approximate Laplace approximation, we describe an efficient and accurate estimation method for marginal likelihood that involves adaptive parameters. Additionally, we describe a new method to adapt the algorithmic tuning parameters of the PARNI proposal by replacing Rao-Blackwellised estimates with the combination of a warm-start estimate and the ergodic average. We present numerous numerical results from simulated data and eight high-dimensional genetic mapping data-sets to showcase the efficiency of the novel PARNI proposal compared with the baseline add-delete-swap proposal.
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Affiliation(s)
- Xitong Liang
- Department of Statistical Science, University College London, London WC1E 6BT, UK; (S.L.); (J.G.)
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Trier NH, Houen G. Antibody Cross-Reactivity in Auto-Immune Diseases. Int J Mol Sci 2023; 24:13609. [PMID: 37686415 PMCID: PMC10487534 DOI: 10.3390/ijms241713609] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/25/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023] Open
Abstract
Autoimmunity is defined by the presence of antibodies and/or T cells directed against self-components. Although of unknown etiology, autoimmunity commonly is associated with environmental factors such as infections, which have been reported to increase the risk of developing autoimmune diseases. Occasionally, similarities between infectious non-self and self-tissue antigens may contribute to immunological cross-reactivity in autoimmune diseases. These reactions may be interpreted as molecular mimicry, which describes cross-reactivity between foreign pathogens and self-antigens that have been reported to cause tissue damage and to contribute to the development of autoimmunity. By focusing on the nature of antibodies, cross-reactivity in general, and antibody-antigen interactions, this review aims to characterize the nature of potential cross-reactive immune reactions between infectious non-self and self-tissue antigens which may be associated with autoimmunity but may not actually be the cause of disease onset.
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Affiliation(s)
- Nicole Hartwig Trier
- Department of Neurology, Rigshospitalet Glostrup, Valdemar Hansens Vej 1-23, 2600 Glostrup, Denmark
| | - Gunnar Houen
- Department of Neurology, Rigshospitalet Glostrup, Valdemar Hansens Vej 1-23, 2600 Glostrup, Denmark
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark
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21
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Barnado A, Wheless L, Camai A, Green S, Han B, Katta A, Denny JC, Sawalha AH. Phenotype Risk Score but Not Genetic Risk Score Aids in Identifying Individuals With Systemic Lupus Erythematosus in the Electronic Health Record. Arthritis Rheumatol 2023; 75:1532-1541. [PMID: 37096581 PMCID: PMC10501317 DOI: 10.1002/art.42544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/23/2023] [Accepted: 04/17/2023] [Indexed: 04/26/2023]
Abstract
OBJECTIVE Systemic lupus erythematosus (SLE) poses diagnostic challenges. We undertook this study to evaluate the utility of a phenotype risk score (PheRS) and a genetic risk score (GRS) to identify SLE individuals in a real-world setting. METHODS Using a de-identified electronic health record (EHR) database with an associated DNA biobank, we identified 789 SLE cases and 2,261 controls with available MEGAEX genotyping. A PheRS for SLE was developed using billing codes that captured American College of Rheumatology SLE criteria. We developed a GRS with 58 SLE risk single-nucleotide polymorphisms (SNPs). RESULTS SLE cases had a significantly higher PheRS (mean ± SD 7.7 ± 8.0 versus 0.8 ± 2.0 in controls; P < 0.001) and GRS (mean ± SD 12.2 ± 2.3 versus 11.0 ± 2.0 in controls; P < 0.001). Black individuals with SLE had a higher PheRS compared to White individuals (mean ± SD 10.0 ± 10.1 versus 7.1 ± 7.2, respectively; P = 0.002) but a lower GRS (mean ± SD 9.0 ± 1.4 versus 12.3 ± 1.7, respectively; P < 0.001). Models predicting SLE that used only the PheRS had an area under the curve (AUC) of 0.87. Adding the GRS to the PheRS resulted in a minimal difference with an AUC of 0.89. On chart review, controls with the highest PheRS and GRS had undiagnosed SLE. CONCLUSION We developed a SLE PheRS to identify established and undiagnosed SLE individuals. A SLE GRS using known risk SNPs did not add value beyond the PheRS and was of limited utility in Black individuals with SLE. More work is needed to understand the genetic risks of SLE in diverse populations.
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Affiliation(s)
- April Barnado
- Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Lee Wheless
- Department of Dermatology, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN
| | - Alex Camai
- Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Sarah Green
- Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Bryan Han
- Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Anish Katta
- Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Joshua C. Denny
- All of Us Research Program, National Institutes of Health, Bethesda, MD
| | - Amr H. Sawalha
- Departments of Pediatrics, Medicine, and Immunology & Lupus Center of Excellence, University of Pittsburgh School of Medicine, Pittsburgh, PA
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22
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Vinuesa CG, Shen N, Ware T. Genetics of SLE: mechanistic insights from monogenic disease and disease-associated variants. Nat Rev Nephrol 2023; 19:558-572. [PMID: 37438615 DOI: 10.1038/s41581-023-00732-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 07/14/2023]
Abstract
The past few years have provided important insights into the genetic architecture of systemic autoimmunity through aggregation of findings from genome-wide association studies (GWAS) and whole-exome or whole-genome sequencing studies. In the prototypic systemic autoimmune disease systemic lupus erythematosus (SLE), monogenic disease accounts for a small fraction of cases but has been instrumental in the elucidation of disease mechanisms. Defects in the clearance or digestion of extracellular or intracellular DNA or RNA lead to increased sensing of nucleic acids, which can break B cell tolerance and induce the production of type I interferons leading to tissue damage. Current data suggest that multiple GWAS SLE risk alleles act in concert with rare functional variants to promote SLE development. Moreover, introduction of orthologous variant alleles into mice has revealed that pathogenic X-linked dominant and recessive SLE can be caused by novel variants in TLR7 and SAT1, respectively. Such bespoke models of disease help to unravel pathogenic pathways and can be used to test targeted therapies. Cell type-specific expression data revealed that most GWAS SLE risk genes are highly expressed in age-associated B cells (ABCs), which supports the view that ABCs produce lupus autoantibodies and contribute to end-organ damage by persisting in inflamed tissues, including the kidneys. ABCs have thus emerged as key targets of promising precision therapeutics.
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Affiliation(s)
- Carola G Vinuesa
- The Francis Crick Institute, London, UK.
- University College London, London, UK.
- China Australia Centre for Personalized Immunology (CACPI), Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China.
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
- Center for Autoimmune Genomics and Aetiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Paediatrics, University of Cincinnati, Cincinnati, OH, USA
| | - Thuvaraka Ware
- The Francis Crick Institute, London, UK
- University College London, London, UK
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23
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Fu Y, Kelly JA, Gopalakrishnan J, Pelikan RC, Tessneer KL, Pasula S, Grundahl K, Murphy DA, Gaffney PM. Massively Parallel Reporter Assay Confirms Regulatory Potential of hQTLs and Reveals Important Variants in Lupus and Other Autoimmune Diseases. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.17.553722. [PMID: 37645944 PMCID: PMC10462090 DOI: 10.1101/2023.08.17.553722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Objective To systematically characterize the potential for histone post-translational modifications, i.e., histone quantitative trait loci (hQTLs), expression QTLs (eQTLs), and variants on systemic lupus erythematosus (SLE) and autoimmune (AI) disease risk haplotypes to modulate gene expression in an allele dependent manner. Methods We designed a massively parallel reporter assay (MPRA) containing ~32K variants and transfected it into an Epstein-Barr virus transformed B cell line generated from an SLE case. Results Our study expands our understanding of hQTLs, illustrating that epigenetic QTLs are more likely to contribute to functional mechanisms than eQTLs and other variant types, and a large proportion of hQTLs overlap transcription start sites (TSS) of noncoding RNAs. In addition, we nominate 17 variants (including 11 novel) as putative causal variants for SLE and another 14 for various other AI diseases, prioritizing these variants for future functional studies primary and immortalized B cells. Conclusion We uncover important insights into the mechanistic relationships between genotype, epigenetics, gene expression, and SLE and AI disease phenotypes.
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Affiliation(s)
- Yao Fu
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Jennifer A Kelly
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Jaanam Gopalakrishnan
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
- Neuro-Immune Regulome Unit, National Eye Institute, National Institute of Health, Bethesda, MD, 20892, USA
| | - Richard C Pelikan
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Kandice L Tessneer
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Satish Pasula
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Kiely Grundahl
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - David A Murphy
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
| | - Patrick M Gaffney
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA
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24
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Gan T, Qu S, Zhang H, Zhou X. Modulation of the immunity and inflammation by autophagy. MedComm (Beijing) 2023; 4:e311. [PMID: 37405276 PMCID: PMC10315166 DOI: 10.1002/mco2.311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 05/12/2023] [Accepted: 05/26/2023] [Indexed: 07/06/2023] Open
Abstract
Autophagy, a highly conserved cellular self-degradation pathway, has emerged with novel roles in the realms of immunity and inflammation. Genome-wide association studies have unveiled a correlation between genetic variations in autophagy-related genes and heightened susceptibility to autoimmune and inflammatory diseases. Subsequently, substantial progress has been made in unraveling the intricate involvement of autophagy in immunity and inflammation through functional studies. The autophagy pathway plays a crucial role in both innate and adaptive immunity, encompassing various key functions such as pathogen clearance, antigen processing and presentation, cytokine production, and lymphocyte differentiation and survival. Recent research has identified novel approaches in which the autophagy pathway and its associated proteins modulate the immune response, including noncanonical autophagy. This review provides an overview of the latest advancements in understanding the regulation of immunity and inflammation through autophagy. It summarizes the genetic associations between variants in autophagy-related genes and a range of autoimmune and inflammatory diseases, while also examining studies utilizing transgenic animal models to uncover the in vivo functions of autophagy. Furthermore, the review delves into the mechanisms by which autophagy dysregulation contributes to the development of three common autoimmune and inflammatory diseases and highlights the potential for autophagy-targeted therapies.
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Affiliation(s)
- Ting Gan
- Renal DivisionPeking University First HospitalBeijingChina
- Peking University Institute of NephrologyBeijingChina
- Key Laboratory of Renal DiseaseMinistry of Health of ChinaBeijingChina
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University)Ministry of EducationBeijingChina
| | - Shu Qu
- Renal DivisionPeking University First HospitalBeijingChina
- Peking University Institute of NephrologyBeijingChina
- Key Laboratory of Renal DiseaseMinistry of Health of ChinaBeijingChina
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University)Ministry of EducationBeijingChina
| | - Hong Zhang
- Renal DivisionPeking University First HospitalBeijingChina
- Peking University Institute of NephrologyBeijingChina
- Key Laboratory of Renal DiseaseMinistry of Health of ChinaBeijingChina
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University)Ministry of EducationBeijingChina
| | - Xu‐jie Zhou
- Renal DivisionPeking University First HospitalBeijingChina
- Peking University Institute of NephrologyBeijingChina
- Key Laboratory of Renal DiseaseMinistry of Health of ChinaBeijingChina
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University)Ministry of EducationBeijingChina
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25
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Guga S, Wang Y, Graham DC, Vyse TJ. A review of genetic risk in systemic lupus erythematosus. Expert Rev Clin Immunol 2023; 19:1247-1258. [PMID: 37496418 DOI: 10.1080/1744666x.2023.2240959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 05/10/2023] [Indexed: 07/28/2023]
Abstract
INTRODUCTION Systemic Lupus Erythematosus (SLE) is a complex multisystem autoimmune disease with a wide range of signs and symptoms in affected individuals. The utilization of genome-wide association study (GWAS) technology has led to an explosion in the number of genetic risk factors mapped for autoimmune diseases, including SLE. AREAS COVERED In this review, we summarize the more recent genetic risk loci mapped in SLE, which bring the total number of loci mapped to approximately 200. We review prioritization analyses of the associated variants and experimental validation of the putative causal variants. This includes the implementation of new bioinformatic techniques to align genomic and functional data and the use of transcriptomics with single-cell RNA-sequencing, CRISPR genome editing, and Massive Parallel Reporter Assays to analyze non-coding regulatory genetics. EXPERT OPINION Despite progress in identifying more genetic risk loci and variant-gene pairs for SLE, understanding its pathogenesis and applying findings clinically remains challenging. The polygenic risk score (PRS) has been used as an application of SLE genetics, but with limited performance in non-EUR populations. In the next few years, advancements in proteomics, post-translational modification estimation, and whole-genome sequencing will enhance disease understanding.
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Affiliation(s)
- Suri Guga
- Department of Medical & Molecular Genetics, King's College London, London, UK
| | - Yuxuan Wang
- Department of Medical & Molecular Genetics, King's College London, London, UK
| | | | - Timothy J Vyse
- Department of Medical & Molecular Genetics, King's College London, London, UK
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26
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Karino K, Kono M, Atsumi T, Kanda M. Reply. Arthritis Rheumatol 2023; 75:1294-1296. [PMID: 36637799 DOI: 10.1002/art.42443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 01/04/2023] [Indexed: 01/14/2023]
Affiliation(s)
- Kohei Karino
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Michihito Kono
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Tatsuya Atsumi
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Masatoshi Kanda
- Department of Rheumatology and Clinical Immunology, Sapporo Medical University, Sapporo, Japan
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27
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Yazdanpanah N, Rezaei A, Ziaee V, Rezaei N. Study of NLRP3 Single Nucleotide Polymorphisms in Juvenile Systemic Lupus Erythematosus (JSLE). Immunol Invest 2023:1-18. [PMID: 37262326 DOI: 10.1080/08820139.2023.2215280] [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: 06/03/2023]
Abstract
Juvenile systemic lupus erythematosus (JSLE) is a multifaceted multifactorial disorder with an unclear etiopathogenesis. Environmental factors, genetic factors, and dysregulated and defective immune system responses are known to have a role in JSLE etiopathogenesis. NLRP3 inflammasome, as an important contributor to immune-mediated inflammatory responses, is assumed to be involved in JSLE etiopathogenesis. To determine whether the NLRP3 genetic variants are altered in patients with JSLE. Fifty-three patients diagnosed with JSLE and 56 healthy sex-matched controls were studied. NLRP3 (C/G rs10754558, C/T rs3806265, C/T rs4612666, A/C rs35829419) gene polymorphisms were evaluated using a TaqMan single-nucleotide polymorphism assay. C allele at position rs3806265 was detected in higher frequencies in patients than in the control group (37.74% vs 23.21%, P-value = .028). At the genotype level at the same position, CT has a significantly higher frequency in patients than the healthy subjects (75.47% vs 46.43%, P-value = .003). The NLRP3 rs3806265 CT genotype was detected at a higher frequency in patients with JSLE than in the healthy control group.
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Affiliation(s)
- Niloufar Yazdanpanah
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Students' Scientific Research Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Arezou Rezaei
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Ziaee
- Children's Medical Center, Pediatrics Center of Excellence, Tehran, Iran
- Department of Pediatrics, Tehran University of Medical Sciences, Tehran, Iran
- Pediatric Rheumatology Research Group, Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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28
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Touil H, Mounts K, De Jager PL. Differential impact of environmental factors on systemic and localized autoimmunity. Front Immunol 2023; 14:1147447. [PMID: 37283765 PMCID: PMC10239830 DOI: 10.3389/fimmu.2023.1147447] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 05/08/2023] [Indexed: 06/08/2023] Open
Abstract
The influence of environmental factors on the development of autoimmune disease is being broadly investigated to better understand the multifactorial nature of autoimmune pathogenesis and to identify potential areas of intervention. Areas of particular interest include the influence of lifestyle, nutrition, and vitamin deficiencies on autoimmunity and chronic inflammation. In this review, we discuss how particular lifestyles and dietary patterns may contribute to or modulate autoimmunity. We explored this concept through a spectrum of several autoimmune diseases including Multiple Sclerosis (MS), Systemic Lupus Erythematosus (SLE) and Alopecia Areata (AA) affecting the central nervous system, whole body, and the hair follicles, respectively. A clear commonality between the autoimmune conditions of interest here is low Vitamin D, a well-researched hormone in the context of autoimmunity with pleiotropic immunomodulatory and anti-inflammatory effects. While low levels are often correlated with disease activity and progression in MS and AA, the relationship is less clear in SLE. Despite strong associations with autoimmunity, we lack conclusive evidence which elucidates its role in contributing to pathogenesis or simply as a result of chronic inflammation. In a similar vein, other vitamins impacting the development and course of these diseases are explored in this review, and overall diet and lifestyle. Recent work exploring the effects of dietary interventions on MS showed that a balanced diet was linked to improvement in clinical parameters, comorbid conditions, and overall quality of life for patients. In patients with MS, SLE and AA, certain diets and supplements are linked to lower incidence and improved symptoms. Conversely, obesity during adolescence was linked with higher incidence of MS while in SLE it was associated with organ damage. Autoimmunity is thought to emerge from the complex interplay between environmental factors and genetic background. Although the scope of this review focuses on environmental factors, it is imperative to elaborate the interaction between genetic susceptibility and environment due to the multifactorial origin of these disease. Here, we offer a comprehensive review about the influence of recent environmental and lifestyle factors on these autoimmune diseases and potential translation into therapeutic interventions.
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Affiliation(s)
- Hanane Touil
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, United States
| | - Kristin Mounts
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, United States
| | - Philip Lawrence De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, United States
- Columbia Multiple Sclerosis Center, Department of Neurology, Columbia University Irving Medical Center, New York, NY, United States
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Pandey R, Bakay M, Hakonarson H. CLEC16A-An Emerging Master Regulator of Autoimmunity and Neurodegeneration. Int J Mol Sci 2023; 24:ijms24098224. [PMID: 37175930 PMCID: PMC10179542 DOI: 10.3390/ijms24098224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
CLEC16A is emerging as an important genetic risk factor for several autoimmune disorders and for Parkinson disease (PD), opening new avenues for translational research and therapeutic development. While the exact role of CLEC16A in health and disease is still being elucidated, the gene plays a critical role in the regulation of autophagy, mitophagy, endocytosis, intracellular trafficking, immune function, and in biological processes such as insulin secretion and others that are important to cellular homeostasis. As shown in both human and animal modeling studies, CLEC16A hypofunction predisposes to both autoinflammatory phenotype and neurodegeneration. While the two are clearly related, further functional studies are needed to fully understand the mechanisms involved for optimized therapeutic interventions. Based on recent data, mitophagy-inducing drugs may be warranted, and such therapy should be tested in clinical trials as these drugs would tackle the underlying pathogenic mechanism (s) and could treat or prevent symptoms of autoimmunity and neurodegeneration in individuals with CLEC16A risk variants. Accordingly, interventions directed at reversing the dysregulated mitophagy and the consequences of loss of function of CLEC16A without activating other detrimental cellular pathways could present an effective therapy. This review presents the emerging role of CLEC16A in health and disease and provides an update on the disease processes that are attributed to variants located in the CLEC16A gene, which are responsible for autoimmune disorders and neurodegeneration with emphasis on how this information is being translated into practical and effective applications in the clinic.
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Affiliation(s)
- Rahul Pandey
- Center for Applied Genomics, Children's Hospital of Philadelphia, Abramson Research Center, 3615 Civic Center Boulevard, Philadelphia, PA 19104-4318, USA
| | - Marina Bakay
- Center for Applied Genomics, Children's Hospital of Philadelphia, Abramson Research Center, 3615 Civic Center Boulevard, Philadelphia, PA 19104-4318, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Abramson Research Center, 3615 Civic Center Boulevard, Philadelphia, PA 19104-4318, USA
- Department of Pediatrics, The University of Pennsylvania School of Medicine, Philadelphia, PA 19104-4318, USA
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Hui-Yuen J, Jiang K, Malkiel S, Eberhard BA, Walters H, Diamond B, Jarvis J. B lymphocytes in treatment-naive paediatric patients with lupus are epigenetically distinct from healthy children. Lupus Sci Med 2023; 10:10/1/e000921. [PMID: 37202122 DOI: 10.1136/lupus-2023-000921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/04/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND SLE is likely triggered by gene-environment interactions. We have shown that most SLE-associated haplotypes encompass genomic regions enriched for epigenetic marks associated with enhancer function in lymphocytes, suggesting genetic risk is exerted through altered gene regulation. Data remain scarce on how epigenetic variance contributes to disease risk in paediatric SLE (pSLE). We aim to identify differences in epigenetically regulated chromatin architecture in treatment-naive patients with pSLE compared with healthy children. METHODS Using the assay for transposase-accessible chromatin with sequencing (ATACseq), we surveyed open chromatin in 10 treatment-naive patients with pSLE, with at least moderate disease severity, and 5 healthy children. We investigated whether regions of open chromatin unique to patients with pSLE demonstrate enrichment for specific transcriptional regulators, using standard computational approaches to identify unique peaks and a false discovery rate of <0.05. Further analyses for histone modification enrichment and variant calling were performed using bioinformatics packages in R and Linux. RESULTS We identified 30 139 differentially accessible regions (DAR) unique to pSLE B cells; 64.3% are more accessible in pSLE than healthy children. Many DAR are found in distal, intergenic regions and enriched for enhancer histone marks (p=0.027). B cells from adult patients with SLE contain more regions of inaccessible chromatin than those in pSLE. In pSLE B cells, 65.2% of the DAR are located within or near known SLE haplotypes. Further analysis revealed enrichment of transcription factor binding motifs within these DAR that may regulate genes involved in pro-inflammatory responses and cellular adhesion. CONCLUSIONS We demonstrate an epigenetically distinct profile in pSLE B cells when compared with healthy children and adults with lupus, indicating that pSLE B cells are predisposed for disease onset/development. Increased chromatin accessibility in non-coding genomic regions controlling activation of inflammation suggest that transcriptional dysregulation by regulatory elements controlling B cell activation plays an important role in pSLE pathogenesis.
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Affiliation(s)
- Joyce Hui-Yuen
- Pediatric Rheumatology, Northwell Health, Lake Success, New York, USA
- Pediatrics, Hofstra Northwell School of Medicine at Hofstra University, Hempstead, New York, USA
- Center for Autoimmune, Musculoskeletal, and Hematopoietic Diseases Research, The Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Kaiyu Jiang
- Pediatrics, University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York, USA
| | - Susan Malkiel
- Center for Autoimmune, Musculoskeletal, and Hematopoietic Diseases Research, The Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Barbara Anne Eberhard
- Pediatric Rheumatology, Northwell Health, Lake Success, New York, USA
- Pediatrics, Hofstra Northwell School of Medicine at Hofstra University, Hempstead, New York, USA
| | - Heather Walters
- Pediatric Rheumatology, Northwell Health, Lake Success, New York, USA
- Pediatrics, Hofstra Northwell School of Medicine at Hofstra University, Hempstead, New York, USA
| | - Betty Diamond
- Center for Autoimmune, Musculoskeletal, and Hematopoietic Diseases Research, The Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - James Jarvis
- Pediatrics, University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York, USA
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Owen KA, Bell KA, Price A, Bachali P, Ainsworth H, Marion MC, Howard TD, Langefeld CD, Shen N, Yazdany J, Dall'era M, Grammer AC, Lipsky PE. Molecular pathways identified from single nucleotide polymorphisms demonstrate mechanistic differences in systemic lupus erythematosus patients of Asian and European ancestry. Sci Rep 2023; 13:5339. [PMID: 37005464 PMCID: PMC10067935 DOI: 10.1038/s41598-023-32569-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 03/29/2023] [Indexed: 04/04/2023] Open
Abstract
Systemic lupus erythematosus (SLE) is a multi-organ autoimmune disorder with a prominent genetic component. Individuals of Asian-Ancestry (AsA) disproportionately experience more severe SLE compared to individuals of European-Ancestry (EA), including increased renal involvement and tissue damage. However, the mechanisms underlying elevated severity in the AsA population remain unclear. Here, we utilized available gene expression data and genotype data based on all non-HLA SNP associations in EA and AsA SLE patients detected using the Immunochip genotyping array. We identified 2778 ancestry-specific and 327 trans-ancestry SLE-risk polymorphisms. Genetic associations were examined using connectivity mapping and gene signatures based on predicted biological pathways and were used to interrogate gene expression datasets. SLE-associated pathways in AsA patients included elevated oxidative stress, altered metabolism and mitochondrial dysfunction, whereas SLE-associated pathways in EA patients included a robust interferon response (type I and II) related to enhanced cytosolic nucleic acid sensing and signaling. An independent dataset derived from summary genome-wide association data in an AsA cohort was interrogated and identified similar molecular pathways. Finally, gene expression data from AsA SLE patients corroborated the molecular pathways predicted by SNP associations. Identifying ancestry-related molecular pathways predicted by genetic SLE risk may help to disentangle the population differences in clinical severity that impact AsA and EA individuals with SLE.
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Affiliation(s)
- Katherine A Owen
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA.
| | - Kristy A Bell
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
| | - Andrew Price
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
| | - Prathyusha Bachali
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
| | - Hannah Ainsworth
- Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Miranda C Marion
- Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Timothy D Howard
- Department of Biochemistry, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinoos Yazdany
- University of California San Francisco, San Francisco, CA, 94117, USA
| | - Maria Dall'era
- University of California San Francisco, San Francisco, CA, 94117, USA
| | - Amrie C Grammer
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
| | - Peter E Lipsky
- AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA, 22902, USA
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Sun X, Liu Z, Li Z, Zeng Z, Peng W, Zhu J, Zhao J, Zhu C, Zeng C, Stearrett N, Crandall KA, Bachali P, Grammer AC, Lipsky PE. Abnormalities in intron retention characterize patients with systemic lupus erythematosus. Sci Rep 2023; 13:5141. [PMID: 36991079 PMCID: PMC10060252 DOI: 10.1038/s41598-023-31890-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 03/20/2023] [Indexed: 03/31/2023] Open
Abstract
Regulation of intron retention (IR), a form of alternative splicing, is a newly recognized checkpoint in gene expression. Since there are numerous abnormalities in gene expression in the prototypic autoimmune disease systemic lupus erythematosus (SLE), we sought to determine whether IR was intact in patients with this disease. We, therefore, studied global gene expression and IR patterns of lymphocytes in SLE patients. We analyzed RNA-seq data from peripheral blood T cell samples from 14 patients suffering from systemic lupus erythematosus (SLE) and 4 healthy controls and a second, independent data set of RNA-seq data from B cells from16 SLE patients and 4 healthy controls. We identified intron retention levels from 26,372 well annotated genes as well as differential gene expression and tested for differences between cases and controls using unbiased hierarchical clustering and principal component analysis. We followed with gene-disease enrichment analysis and gene-ontology enrichment analysis. Finally, we then tested for significant differences in intron retention between cases and controls both globally and with respect to specific genes. Overall decreased IR was found in T cells from one cohort and B cells from another cohort of patients with SLE and was associated with increased expression of numerous genes, including those encoding spliceosome components. Different introns within the same gene displayed both up- and down-regulated retention profiles indicating a complex regulatory mechanism. These results indicate that decreased IR in immune cells is characteristic of patients with active SLE and may contribute to the abnormal expression of specific genes in this autoimmune disease.
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Affiliation(s)
- Xiaoqian Sun
- Computer Science Department, George Washington University, Washington, DC, 20052, USA
| | - Zhichao Liu
- Physics Department, George Washington University, Washington, DC, 20052, USA
| | - Zongzhu Li
- Physics Department, George Washington University, Washington, DC, 20052, USA
| | - Zhouhao Zeng
- Physics Department, George Washington University, Washington, DC, 20052, USA
| | - Weiqun Peng
- Physics Department, George Washington University, Washington, DC, 20052, USA
| | - Jun Zhu
- Mokobio Biotechnology R&D Center, 1445 Research Blvd, Suite 150, Rockville, MD, 20850, USA
| | - Joel Zhao
- Walt Whitman High School, Bethesda, MD, 20817, USA
| | | | - Chen Zeng
- Physics Department, George Washington University, Washington, DC, 20052, USA.
| | - Nathaniel Stearrett
- Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC, 20052, USA
| | - Keith A Crandall
- Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC, 20052, USA.
| | - Prathyusha Bachali
- RILITE Research Institute and AMPEL BioSolutions, 250 W Main St, Ste 300, Charlottesville, VA, 22902, USA
| | - Amrie C Grammer
- RILITE Research Institute and AMPEL BioSolutions, 250 W Main St, Ste 300, Charlottesville, VA, 22902, USA
| | - Peter E Lipsky
- RILITE Research Institute and AMPEL BioSolutions, 250 W Main St, Ste 300, Charlottesville, VA, 22902, USA.
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Karino K, Kono M, Takeyama S, Kudo Y, Kanda M, Abe N, Aso K, Fujieda Y, Kato M, Oku K, Amengual O, Atsumi T. Inhibitor of NF-κB Kinase Subunit ε Contributes to Neuropsychiatric Manifestations in Lupus-Prone Mice Through Microglial Activation. Arthritis Rheumatol 2023; 75:411-423. [PMID: 36098515 DOI: 10.1002/art.42352] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 07/25/2022] [Accepted: 09/08/2022] [Indexed: 01/26/2023]
Abstract
OBJECTIVE Systemic lupus erythematosus (SLE) is a systemic autoimmune disease characterized by multiorgan dysfunction. Neuropsychiatric SLE (NPSLE) occurs in 30-40% of lupus patients and is the most severe presentation of SLE, frequently resulting in limitation of daily life. Recent studies have shown that microglia, tissue-resident macrophages in the central nervous system, are involved in the pathogenesis of NPSLE. This study was undertaken to explore new therapeutic targets for NPSLE focusing on microglia. METHODS RNA sequencing of microglia in MRL/lpr, lupus-prone mice, as well as that of microglia cultured in vitro with cytokines were performed. A candidate gene, which could be a therapeutic target for NPSLE, was identified, and its role in microglial activation and phagocytosis was investigated using specific inhibitors and small interfering RNA. The effect of intracerebroventricular administration of the inhibitor on the behavioral abnormalities of MRL/lpr was also evaluated. RESULTS Transcriptome analysis revealed the up-regulation of Ikbke, which encodes the inhibitor of NF-κB kinase subunit ɛ (IKBKε) in both microglia from MRL/lpr mice and cytokine-stimulated microglia in vitro. Intracerebroventricular administration of an IKBKε inhibitor ameliorated cognitive function and suppressed microglial activation in MRL/lpr mice. Mechanistically, IKBKε inhibition reduced glycolysis, which dampened microglial activation and phagocytosis. CONCLUSION These findings suggest that IKBKε plays a vital role in the pathogenesis of NPSLE via microglial activation, and it could serve as a therapeutic target for NPSLE.
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Affiliation(s)
- Kohei Karino
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Michihito Kono
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Shuhei Takeyama
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Yuki Kudo
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Masatoshi Kanda
- Department of Rheumatology and Clinical Immunology, Sapporo Medical University, Sapporo, Japan
| | - Nobuya Abe
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Kuniyuki Aso
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Yuichiro Fujieda
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Masaru Kato
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Kenji Oku
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan, and Department of Rheumatology and Infectious Diseases, School of Medicine, Kitasato University, Sagamihara, Japan
| | - Olga Amengual
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Tatsuya Atsumi
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
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Cuda CM. I Kappa B-Kliev-ε That the Inhibitor of NF-κB Kinase Subunit ε (IKBKε) May Hold the Key to Treating NPSLE! Arthritis Rheumatol 2023; 75:349-351. [PMID: 36161541 PMCID: PMC9998332 DOI: 10.1002/art.42371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/17/2022] [Accepted: 09/22/2022] [Indexed: 01/26/2023]
Affiliation(s)
- Carla M Cuda
- Division of Rheumatology, Department of Medicine, Feinberg School of Medicine, Northwestern University
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35
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Han Y, Byun J, Zhu C, Sun R, Roh JY, Cordell HJ, Lee HS, Shaw VR, Kang SW, Razjouyan J, Cooley MA, Hassan MM, Siminovitch KA, Folseraas T, Ellinghaus D, Bergquist A, Rushbrook SM, Franke A, Karlsen TH, Lazaridis KN, McGlynn KA, Roberts LR, Amos CI. Multitrait genome-wide analyses identify new susceptibility loci and candidate drugs to primary sclerosing cholangitis. Nat Commun 2023; 14:1069. [PMID: 36828809 PMCID: PMC9958016 DOI: 10.1038/s41467-023-36678-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 02/10/2023] [Indexed: 02/26/2023] Open
Abstract
Primary sclerosing cholangitis (PSC) is a rare autoimmune bile duct disease that is strongly associated with immune-mediated disorders. In this study, we implemented multitrait joint analyses to genome-wide association summary statistics of PSC and numerous clinical and epidemiological traits to estimate the genetic contribution of each trait and genetic correlations between traits and to identify new lead PSC risk-associated loci. We identified seven new loci that have not been previously reported and one new independent lead variant in the previously reported locus. Functional annotation and fine-mapping nominated several potential susceptibility genes such as MANBA and IRF5. Network-based in silico drug efficacy screening provided candidate agents for further study of pharmacological effect in PSC.
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Affiliation(s)
- Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Catherine Zhu
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Ryan Sun
- Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Julia Y Roh
- Department of Pharmacy, Ochsner Health, New Orleans, LA, USA
| | - Heather J Cordell
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Hyun-Sung Lee
- David J. Sugarbaker Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Vikram R Shaw
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Sung Wook Kang
- David J. Sugarbaker Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Javad Razjouyan
- VA HSR&D, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Big Data Scientist Training Enhancement Program (BD-STEP), VA Office of Research and Development, Washington, DC, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- VA Quality Scholars Coordinating Center, IQuESt, Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | - Matthew A Cooley
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN, USA
| | - Manal M Hassan
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katherine A Siminovitch
- Departments of Medicine, Immunology and Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Mount Sinai Hospital, Lunenfeld-Tanenbaum Research Institute and Toronto General Research Institute, Toronto, Ontario, Canada
| | - Trine Folseraas
- Norwegian PSC Research Center, Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Annika Bergquist
- Department of Medicine Huddinge, Unit of Gastroenterology and Rheumatology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Simon M Rushbrook
- Department of Gastroenterology, Norfolk and Norwich University Hospital, Norwich, United Kingdom
- Norwich Medical School, University of East Anglia, Norfolk, United Kingdom
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Tom H Karlsen
- Oslo University Hospital Rikshospitalet and University of Oslo, Oslo, Norway
| | - Konstantinos N Lazaridis
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Katherine A McGlynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Lewis R Roberts
- Oslo University Hospital Rikshospitalet and University of Oslo, Oslo, Norway
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
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36
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Cui J, Malspeis S, Choi MY, Lu B, Sparks JA, Yoshida K, Costenbader KH. Risk prediction models for incident systemic lupus erythematosus among women in the Nurses' health study cohorts using genetics, family history, and lifestyle and environmental factors. Semin Arthritis Rheum 2023; 58:152143. [PMID: 36481507 PMCID: PMC9840676 DOI: 10.1016/j.semarthrit.2022.152143] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 10/28/2022] [Accepted: 11/21/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Systemic lupus erythematosus (SLE) is a severe multisystem autoimmune disease that predominantly affects women. Its etiology is complex and multifactorial, with several known genetic and environmental risk factors, but accurate risk prediction models are still lacking. We developed SLE risk prediction models, incorporating known genetic, lifestyle and environmental risk factors, and family history. METHODS We performed a nested case-control study within the Nurses' Health Study cohorts (NHS). NHS began in 1976 and enrolled 121,700 registered female nurses ages 30-55 from 11 U.S. states; NHSII began in 1989 and enrolled 116,430 registered female nurses ages 25-42 from 14 U.S. states. Participants were asked about lifestyle, reproductive and environmental exposures, as well as medical information, on biennial questionnaires. Incident SLE cases were self-reported and validated by medical record review (Updated 1997 American College of Rheumatology classification criteria). Those with banked blood samples for genotyping (∼25% of each cohort), were selected and matched by age (± 4 years) and race/ethnicity to women who had donated a blood sample but did not develop SLE. Lifestyle and reproductive variables, including smoking, alcohol use, body mass index, sleep, socioeconomic status, U.S. region, menarche age, oral contraceptive use, menopausal status/postmenopausal hormone use, and family history of SLE or rheumatoid arthritis (RA) were assessed through the questionnaire prior to SLE diagnosis questionnaire cycle (or matched index date). Genome-wide genotyping results were used to calculate a SLE weighted genetic risk score (wGRS) using 86 published single nucleotide polymorphisms (SNPs) and 10 classical HLA alleles associated with SLE. We compared four sequential multivariable logistic regression models of SLE risk prediction, each calculating the area under the receiver operating characteristic curve (AUC): 1) SLE wGRS, 2) SLE/RA family history, 3) lifestyle, environmental and reproductive factors and 4) combining model 1-3 factors. Models were internally validated using a bootstrapped estimate of optimism of the AUC. We also examined similar sequential models to predict anti-dsDNA positive SLE risk. RESULTS We identified and matched 138 women who developed incident SLE to 1136 women who did not. Models 1-4 yielded AUCs 0.63 (95%CI 0.58-0.68), 0.64 (95%CI 0.59-0.68), 0.71(95% CI 0.66-0.75), and 0.76 (95% CI 0.72-0.81). Model 4 based on genetics, family history and eight lifestyle and environmental factors had best discrimination, with an optimism-corrected AUC 0.75. AUCs for similar models predicting anti-dsDNA positive SLE risk, were 0.60, 0.63, 0.81 and 0.82, with optimism corrected AUC of 0.79 for model 4. CONCLUSION A final model including SLE weighted genetic risk score, family history and eight lifestyle and environmental SLE risk factors accurately classified future SLE risk with optimism corrected AUC of 0.75. To our knowledge, this is the first SLE prediction model based on known risk factors. It might be feasibly employed in at-risk populations as genetic data are increasingly available and the risk factors easily assessed. The NHS cohorts include few non-White women and mean age at incident SLE was early 50s, calling for further research in younger and more diverse cohorts.
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Affiliation(s)
- Jing Cui
- Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Susan Malspeis
- Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - May Y Choi
- Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Medicine, Division of Rheumatology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Bing Lu
- Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeffrey A Sparks
- Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kazuki Yoshida
- Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Karen H Costenbader
- Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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37
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Sakai M, Takao K, Mizuno M, Ando H, Kawashima Y, Kato T, Kubota S, Hirose T, Hirota T, Horikawa Y, Yabe D. Two cases of systemic lupus erythematosus (SLE) after administration of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine. Mod Rheumatol Case Rep 2023:rxad008. [PMID: 36715089 DOI: 10.1093/mrcr/rxad008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/06/2023] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
Although there is great demand for increased COVID-19 vaccination worldwide, rare side effects of the vaccines in susceptible individuals are attracting attention. We recently treated two patients who developed SLE after administration of a SARS-CoV-2 vaccine from Pfizer-BioNTech or Moderna. While causal relationships between vaccination and adverse events are difficult to discern due to both confounding and masking factors, our findings suggest that attention to possible adjuvant-related autoimmune diseases in certain individuals receiving SARS-CoV-2 vaccines is appropriate.
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Affiliation(s)
- Mayu Sakai
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Ken Takao
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Masami Mizuno
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Hironori Ando
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yui Kawashima
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Takehiro Kato
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Saki Kubota
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
- Yutaka Seino Distinguished Center for Diabetes Research, Kansai Electric Power Medical Research Institute, Kyoto, Japan
| | - Tokuyuki Hirose
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Takuo Hirota
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yukio Horikawa
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Daisuke Yabe
- Department of Diabetes, Endocrinology and Metabolism/Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
- Yutaka Seino Distinguished Center for Diabetes Research, Kansai Electric Power Medical Research Institute, Kyoto, Japan
- Center for One Medicine Innovative Translational Research, Gifu University Institute for Advanced Study, Gifu, Japan
- Center for Healthcare Information Technology, Tokai National Higher Education and Research System, Nagoya, Japan
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38
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Tian R, Yuan L, Huang Y, Zhang R, Lyu H, Xiao S, Guo D, Ali DW, Michalak M, Chen XZ, Zhou C, Tang J. Perturbed autophagy intervenes systemic lupus erythematosus by active ingredients of traditional Chinese medicine. Front Pharmacol 2023; 13:1053602. [PMID: 36733375 PMCID: PMC9887156 DOI: 10.3389/fphar.2022.1053602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/05/2022] [Indexed: 01/19/2023] Open
Abstract
Systemic lupus erythematosus (SLE) is a common multisystem, multiorgan heterozygous autoimmune disease. The main pathological features of the disease are autoantibody production and immune complex deposition. Autophagy is an important mechanism to maintain cell homeostasis. Autophagy functional abnormalities lead to the accumulation of apoptosis and induce the autoantibodies that result in immune disorders. Therefore, improving autophagy may alleviate the development of SLE. For SLE, glucocorticoids or immunosuppressive agents are commonly used in clinical treatment, but long-term use of these drugs causes serious side effects in humans. Immunosuppressive agents are expensive. Traditional Chinese medicines (TCMs) are widely used for immune diseases due to their low toxicity and few side effects. Many recent studies found that TCM and its active ingredients affected the pathological development of SLE by regulating autophagy. This article explains how autophagy interferes with immune system homeostasis and participates in the occurrence and development of SLE. It also summarizes several studies on TCM-regulated autophagy intervention in SLE to generate new ideas for basic research, the development of novel medications, and the clinical treatment of SLE.
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Affiliation(s)
- Rui Tian
- National “111’’ Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education and Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China,Membrane Protein Disease Research Group, Department of Physiology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada,College of Biological Science and Technology, Hubei MinZu University, Enshi, China
| | - Lin Yuan
- Hubei Provincial Key Laboratory of Occurrence and Intervention of Rheumatic Diseases, Enshi, China
| | - Yuan Huang
- National “111’’ Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education and Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Rui Zhang
- National “111’’ Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education and Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Hao Lyu
- National “111’’ Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education and Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Shuai Xiao
- National “111’’ Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education and Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Dong Guo
- National “111’’ Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education and Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Declan William Ali
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Marek Michalak
- Department of Biochemistry, University of Alberta, Edmonton, AB, Canada
| | - Xing-Zhen Chen
- Membrane Protein Disease Research Group, Department of Physiology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada,*Correspondence: Xing-Zhen Chen, ; Cefan Zhou, ; Jingfeng Tang,
| | - Cefan Zhou
- National “111’’ Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education and Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China,*Correspondence: Xing-Zhen Chen, ; Cefan Zhou, ; Jingfeng Tang,
| | - Jingfeng Tang
- National “111’’ Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education and Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China,Lead Contact, Wuhan, China,*Correspondence: Xing-Zhen Chen, ; Cefan Zhou, ; Jingfeng Tang,
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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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Wu CY, Fan WL, Yang HY, Chu PS, Liao PC, Chen LC, Yao TC, Yeh KW, Ou LS, Lin SJ, Lee WI, Huang JL. Contribution of genetic variants associated with primary immunodeficiencies to childhood-onset systemic lupus erythematous. J Allergy Clin Immunol 2022; 151:1123-1131. [PMID: 36586539 DOI: 10.1016/j.jaci.2022.12.807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/30/2022] [Accepted: 12/06/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND A dysregulated immune response is a hallmark of autoimmune disorders. Evidence suggests that systemic autoimmune diseases and primary immunodeficiency disorders (PIDs) may be similar diseases with different clinical phenotypes. OBJECTIVE This study aimed to investigate the burden of PID-associated genetic variants in patients with childhood-onset systemic lupus erythematosus (cSLE). METHODS We enrolled 118 cSLE patients regularly followed at Chang Gung Memorial Hospital. Targeted next-generation sequencing identified PID genetic variants in patients versus 1475 unrelated healthy individuals, which were further filtered by allelic frequency and various functional scores. Customized immune assays tested the functions of the identified variants. RESULTS On filtration, 36 patients (30.5%) harbored rare variants in PID-associated genes predicted to be damaging. One homozygous TREX1 (c.294dupA) mutation and 4 heterozygous variants with possible dominant PID traits, including BCL11B (c.G1040T), NFKB1 (c.T695G), and NFKB2 (c.G1210A, c.G1651A), were discovered. With recessive traits, variants were found across all PID types; one fifth involved phagocyte number or function defects. Predicted pathogenic PID variants were more predominant in those with a family history of lupus, regardless of infection susceptibility. Moreover, mutation loads were greater among cSLE patients than controls despite sex or age at disease onset. While greater mutation loads were observed among cSLE patients with peripubertal disease onset, no significant differences in sex or phenotype were noted among cSLE patients. CONCLUSION cSLE is mostly not monogenic. Gene-specific analysis and mutation load investigations suggested that rare and predicted damaging variants in PID-related genes can potentially contribute to cSLE susceptibility.
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Affiliation(s)
- Chao-Yi Wu
- Department of Pediatrics, Division of Allergy, Asthma, and Rheumatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wen-Lang Fan
- Department of Medical Research, Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Huang-Yu Yang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Pi-Shuang Chu
- Department of Pediatrics, Division of Allergy, Asthma, and Rheumatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Pei-Chun Liao
- Department of Pediatrics, Division of Allergy, Asthma, and Rheumatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Li-Chen Chen
- College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Pediatrics, New Taipei Municipal TuCheng Hospital, New Taipei City, Taiwan
| | - Tsung-Chieh Yao
- Department of Pediatrics, Division of Allergy, Asthma, and Rheumatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Wei Yeh
- Department of Pediatrics, Division of Allergy, Asthma, and Rheumatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Liang-Shiou Ou
- Department of Pediatrics, Division of Allergy, Asthma, and Rheumatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Syh-Jae Lin
- Department of Pediatrics, Division of Allergy, Asthma, and Rheumatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wen-I Lee
- Department of Pediatrics, Division of Allergy, Asthma, and Rheumatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
| | - Jing-Long Huang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Pediatrics, New Taipei Municipal TuCheng Hospital, New Taipei City, Taiwan.
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Xu L, Zhao J, Sun Q, Xu X, Wang L, Liu T, Wu Y, Zhu J, Geng L, Deng Y, Awgulewitsch A, Kamen DL, Oates JC, Raj P, Wakeland EK, Scofield RH, Guthridge JM, James JA, Hahn BH, McCurdy DK, Wang F, Zhang M, Tan W, Gilkeson GS, Tsao BP. Loss-of-function variants in SAT1 cause X-linked childhood-onset systemic lupus erythematosus. Ann Rheum Dis 2022; 81:1712-1721. [PMID: 35977808 PMCID: PMC10394691 DOI: 10.1136/ard-2022-222795] [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: 05/13/2022] [Accepted: 07/28/2022] [Indexed: 11/03/2022]
Abstract
OBJECTIVES Families that contain multiple siblings affected with childhood onset of systemic lupus erythematosus (SLE) likely have strong genetic predispositions. We performed whole exome sequencing (WES) to identify familial rare risk variants and to assess their effects in lupus. METHODS Sanger sequencing validated the two ultra-rare, predicted pathogenic risk variants discovered by WES and identified additional variants in 562 additional patients with SLE. Effects of a splice site variant and a frameshift variant were assessed using a Minigene assay and CRISPR/Cas9-mediated knock-in (KI) mice, respectively. RESULTS The two familial ultra-rare, predicted loss-of-function (LOF) SAT1 variants exhibited X-linked recessive Mendelian inheritance in two unrelated African-American families. Each LOF variant was transmitted from the heterozygous unaffected mother to her two sons with childhood-onset SLE. The p.Asp40Tyr variant affected a splice donor site causing deleterious transcripts. The young hemizygous male and homozygous female Sat1 p.Glu92Leufs*6 KI mice spontaneously developed splenomegaly, enlarged glomeruli with leucocyte infiltration, proteinuria and elevated expression of type I interferon-inducible genes. SAT1 is highly expressed in neutrophils and encodes spermidine/spermine-N1-acetyltransferase 1 (SSAT1), a rate-limiting enzyme in polyamine catabolism. Young male KI mice exhibited neutrophil defects and decreased proportions of Foxp3 +CD4+ T-cell subsets. Circulating neutrophil counts and proportions of Foxp3 +CD4+ T cells correlated with decreased plasma levels of spermine in treatment-naive, incipient SLE patients. CONCLUSIONS We identified two novel SAT1 LOF variants, showed the ability of the frameshift variant to confer murine lupus, highlighted the pathogenic role of dysregulated polyamine catabolism and identified SAT1 LOF variants as new monogenic causes for SLE.
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Affiliation(s)
- Lingxiao Xu
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
- Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China
| | - Jian Zhao
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Qing Sun
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Xue Xu
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Lei Wang
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Ting Liu
- Department of Rheumatology and Immunology, Wuxi People's Hospital, Wuxi, Jiangsu, People's Republic of China
| | - Yunjuan Wu
- Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China
| | - Jingfeng Zhu
- Department of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China
| | - Linyu Geng
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Yun Deng
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Alexander Awgulewitsch
- Department of Regenerative Medicine and Cell Biology, Transgenic and Gene Function Core, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Diane L Kamen
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Jim C Oates
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
- Ralph H. Johnson VA Medical Center, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Prithvi Raj
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Edward K Wakeland
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - R Hal Scofield
- Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- US Department of Veterans Affairs Medical Center, Oklahoma City, OK, USA
| | - Joel M Guthridge
- Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Judith A James
- Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Bevra H Hahn
- Division of Rheumatology, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Deborah K McCurdy
- Division of Allergy, Immunology, and Rheumatology, Department of Pediatrics, University of California Los Angeles, Los Angeles, CA, USA
| | - Fang Wang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China
| | - Miaojia Zhang
- Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China
| | - Wenfeng Tan
- Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China
| | - Gary S Gilkeson
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
- Ralph H. Johnson VA Medical Center, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Betty P Tsao
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
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Xie T, Dong J, Zhou X, Tang D, Li D, Chen J, Chen Y, Xu H, Xue W, Liu D, Hong X, Tang F, Yin L, Dai Y. Proteomics analysis of lysine crotonylation and 2-hydroxyisobutyrylation reveals significant features of systemic lupus erythematosus. Clin Rheumatol 2022; 41:3851-3858. [PMID: 35941338 PMCID: PMC9652266 DOI: 10.1007/s10067-022-06254-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/14/2022] [Accepted: 06/15/2022] [Indexed: 11/28/2022]
Abstract
INTRODUCTION/OBJECTIVES To seek significant features of systemic lupus erythematosus (SLE) by utilizing bioinformatics analysis. METHOD Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to quantify lysine crotonylation (Kcr) and lysine 2-hydroxyisobutyrylation (Khib) in peripheral blood mononuclear cells (PBMCs) of systemic lupus erythematosus (SLE) patients and normal controls. RESULTS Seventy-six differentially modified proteins (DMPs) dually modified by Kcr and Khib were identified between SLE patients and healthy people. GO enrichment analysis prompted significant enrichment of seventy-six DMPs in MHC class II protein complex binding and leukocyte migration. KEGG pathways were enriched in antigen processing and presentation pathway and leukocyte transendothelial migration pathway. Six DMPs (CLTC, HSPA1B, HSPA8, HSP90AB1, HSPD1, and PDIA3) were identified in antigen processing and presentation pathway, of which HSPA8 was the core protein. Significant changes of Kcr and Khib in HSPA8 may increase ATP hydrolysis and promote antigen binding to MHC II molecule. In leukocyte transendothelial migration pathway, 7 DMPs (ACTN1, ACTN4, EZR, MSN, RAC1, RHOA, and VCL) were identified. MSN was the protein with the most modification sites in this pathway. In amino terminal ferm region of MSN, Kcr and Khib expression change may lead to the adhesion between leukocytes and endothelial cells, which was an important step of leukocyte migration. CONCLUSION Kcr and Khib may promote the antigen presentation and jointly regulate the tissue damage mediated by leukocyte migration in SLE patients, which may play key roles in the pathogenesis of SLE probably. Key Points • Antigen processing and presentation and leukocyte transendothelial migration may play key roles in the pathogenesis of SLE.
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Affiliation(s)
- Ting Xie
- Institute of Nephrology and Blood Purification, the First Affiliated Hospital of Jinan University, Guangzhou, 510632, Guangdong, China
| | - Jingjing Dong
- Institute of Nephrology and Blood Purification, the First Affiliated Hospital of Jinan University, Guangzhou, 510632, Guangdong, China
- Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China
| | - Xianqing Zhou
- Department of Pathology, Guangxi Key Laboratory of Metabolic Diseases Research, No.924 Hospital of PLA Joint Logistic Support Force, Guilin, 541002, Guangxi, China
| | - Donge Tang
- Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China
| | - Dandan Li
- Institute of Nephrology and Blood Purification, the First Affiliated Hospital of Jinan University, Guangzhou, 510632, Guangdong, China
| | - Jiejing Chen
- Department of Pathology, Guangxi Key Laboratory of Metabolic Diseases Research, No.924 Hospital of PLA Joint Logistic Support Force, Guilin, 541002, Guangxi, China
| | - Yumei Chen
- Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China
| | - Huixuan Xu
- Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China
| | - Wen Xue
- Department of Pathology, Guangxi Key Laboratory of Metabolic Diseases Research, No.924 Hospital of PLA Joint Logistic Support Force, Guilin, 541002, Guangxi, China
| | - Dongzhou Liu
- Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China
| | - Xiaoping Hong
- Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China
| | - Fang Tang
- Department of Pathology, Guangxi Key Laboratory of Metabolic Diseases Research, No.924 Hospital of PLA Joint Logistic Support Force, Guilin, 541002, Guangxi, China.
| | - Lianghong Yin
- Institute of Nephrology and Blood Purification, the First Affiliated Hospital of Jinan University, Guangzhou, 510632, Guangdong, China.
| | - Yong Dai
- Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China.
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Immunogenetic Profiling of SLE and LN among Jordanian Patients. J Pers Med 2022; 12:jpm12121955. [PMID: 36556176 PMCID: PMC9782219 DOI: 10.3390/jpm12121955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/17/2022] [Accepted: 11/22/2022] [Indexed: 11/29/2022] Open
Abstract
Systemic Lupus Erythematosus (SLE) is a prolonged inflammatory autoimmune disease, which is characterized by a high titer of serological autoantibodies. Interactions between environmental and genetic factors play a crucial role in the pathogenesis of SLE. Human Leukocyte Antigen (HLA) genes, namely HLA-class II genes, are one of the main candidate genes that increase susceptibility to SLE. The aim of this study was to investigate, for the first time, the association of HLA-DRB1 and HLA-DQB1 genes among Jordanian patients diagnosed with SLE and Lupus Nephritis (LN) using the Polymerase Chain Reaction-Sequence-Specific Primer (PCR-SSP) technique. This study showed that SLE is positively associated with DRB1*0301, DRB1*1101, DRB1*1102 and HLA-DQB1*0601. Furthermore, HLA-DRB1*0301, DRB1*1101, HLA-DRB1*1501 and HLA-DQB1*0601 were found to be linked to SLE patients with LN. In addition, haplotypes HLA-DRB1*0301/DQB1*0201 and HLA-DRB1*1501/DQB1*0601 were found to be linked to SLE and LN. Our findings may serve as possible predictive markers for early screening for LN risk in SLE patients. In light of these results, the role of HLA gene polymorphisms may help in understanding the clinical course, prognosis of the disease and developing better treatment strategies for SLE patients. In addition, it may help in early diagnosis, prevention, intervention and management of the disease.
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Kain J, Owen KA, Marion MC, Langefeld CD, Grammer AC, Lipsky PE. Mendelian randomization and pathway analysis demonstrate shared genetic associations between lupus and coronary artery disease. Cell Rep Med 2022; 3:100805. [PMID: 36334592 PMCID: PMC9729823 DOI: 10.1016/j.xcrm.2022.100805] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 07/08/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022]
Abstract
Coronary artery disease (CAD) is a leading cause of death in patients with systemic lupus erythematosus (SLE). Despite clinical evidence supporting an association between SLE and CAD, pleiotropy-adjusted genetic association studies are limited and focus on only a few common risk loci. Here, we identify a net positive causal estimate of SLE-associated non-HLA SNPs on CAD by traditional Mendelian randomization (MR) approaches. Pathway analysis using SNP-to-gene mapping followed by unsupervised clustering based on protein-protein interactions (PPIs) identifies biological networks composed of positive and negative causal sets of genes. In addition, we confirm the casual effects of specific SNP-to-gene modules on CAD using only SNP mapping to each PPI-defined functional gene set as instrumental variables. This PPI-based MR approach elucidates various molecular pathways with causal implications between SLE and CAD and identifies biological pathways likely causative of both pathologies, revealing known and novel therapeutic interventions for managing CAD in SLE.
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Affiliation(s)
- Jessica Kain
- AMPEL BioSolutions, LLC, Charlottesville, VA, USA; The RILITE Research Institute, Charlottesville, VA, USA
| | - Katherine A Owen
- AMPEL BioSolutions, LLC, Charlottesville, VA, USA; The RILITE Research Institute, Charlottesville, VA, USA.
| | - Miranda C Marion
- Department of Biostatistics and Data Science, and Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, and Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Amrie C Grammer
- AMPEL BioSolutions, LLC, Charlottesville, VA, USA; The RILITE Research Institute, Charlottesville, VA, USA
| | - Peter E Lipsky
- AMPEL BioSolutions, LLC, Charlottesville, VA, USA; The RILITE Research Institute, Charlottesville, VA, USA
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Wang Y, Guga S, Wu K, Khaw Z, Tzoumkas K, Tombleson P, Comeau ME, Langefeld CD, Cunninghame Graham DS, Morris DL, Vyse TJ. COVID-19 and systemic lupus erythematosus genetics: A balance between autoimmune disease risk and protection against infection. PLoS Genet 2022; 18:e1010253. [PMID: 36327221 PMCID: PMC9632821 DOI: 10.1371/journal.pgen.1010253] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 09/18/2022] [Indexed: 11/06/2022] Open
Abstract
Genome wide association studies show there is a genetic component to severe COVID-19. We find evidence that the genome-wide genetic association signal with severe COVID-19 is correlated with that of systemic lupus erythematosus (SLE), having formally tested this using genetic correlation analysis by LD score regression. To identify the shared associated loci and gain insight into the shared genetic effects, using summary level data we performed meta-analyses, a local genetic correlation analysis and fine-mapping using stepwise regression and functional annotation. This identified multiple loci shared between the two traits, some of which exert opposing effects. The locus with most evidence of shared association is TYK2, a gene critical to the type I interferon pathway, where the local genetic correlation is negative. Another shared locus is CLEC1A, where the direction of effects is aligned, that encodes a lectin involved in cell signaling, and the anti-fungal immune response. Our analyses suggest that several loci with reciprocal effects between the two traits have a role in the defense response pathway, adding to the evidence that SLE risk alleles are protective against infection. We observed a correlation between the genetic associations with severe COVID-19 and those with systemic lupus erythematosus (SLE, Lupus), and aimed to discover which genetic loci were shared by these diseases and what biological processes were involved. This resulted in the discovery of several genetic loci, some of which had alleles that were risk for both diseases and some of which were risk for severe COVID-19 yet protective for SLE. The locus with most evidence of shared association (TYK2) is involved in interferon production, a process that is important in response to viral infection and known to be dysregulated in SLE patients. Other shared associated loci contained genes also involved in the defense response and the immune system signaling. These results add to the growing evidence that there are alleles in the human genome that provide protection against viral infection yet are risk for autoimmune disease.
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Affiliation(s)
- Yuxuan Wang
- Department of Medical & Molecular Genetics, King’s College London, London, United Kingdom
| | - Suri Guga
- Department of Medical & Molecular Genetics, King’s College London, London, United Kingdom
| | - Kejia Wu
- Department of Medical & Molecular Genetics, King’s College London, London, United Kingdom
| | - Zoe Khaw
- Department of Medical & Molecular Genetics, King’s College London, London, United Kingdom
| | - Konstantinos Tzoumkas
- Department of Medical & Molecular Genetics, King’s College London, London, United Kingdom
| | - Phil Tombleson
- NIHR GSTFT/KCL Biomedical Research Centre, London, United Kingdom
| | - Mary E. Comeau
- Department of Biostatistics and Data Science and Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science and Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | | | - David L. Morris
- Department of Medical & Molecular Genetics, King’s College London, London, United Kingdom
- * E-mail:
| | - Timothy J. Vyse
- Department of Medical & Molecular Genetics, King’s College London, London, United Kingdom
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Lee J, Lee J, Jeon S, Lee J, Jang I, Yang JO, Park S, Lee B, Choi J, Choi BO, Gee HY, Oh J, Jang IJ, Lee S, Baek D, Koh Y, Yoon SS, Kim YJ, Chae JH, Park WY, Bhak JH, Choi M. A database of 5305 healthy Korean individuals reveals genetic and clinical implications for an East Asian population. Exp Mol Med 2022; 54:1862-1871. [PMID: 36323850 PMCID: PMC9628380 DOI: 10.1038/s12276-022-00871-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/21/2022] [Accepted: 08/08/2022] [Indexed: 11/29/2022] Open
Abstract
Despite substantial advances in disease genetics, studies to date have largely focused on individuals of European descent. This limits further discoveries of novel functional genetic variants in other ethnic groups. To alleviate the paucity of East Asian population genome resources, we established the Korean Variant Archive 2 (KOVA 2), which is composed of 1896 whole-genome sequences and 3409 whole-exome sequences from healthy individuals of Korean ethnicity. This is the largest genome database from the ethnic Korean population to date, surpassing the 1909 Korean individuals deposited in gnomAD. The variants in KOVA 2 displayed all the known genetic features of those from previous genome databases, and we compiled data from Korean-specific runs of homozygosity, positively selected intervals, and structural variants. In doing so, we found loci, such as the loci of ADH1A/1B and UHRF1BP1, that are strongly selected in the Korean population relative to other East Asian populations. Our analysis of allele ages revealed a correlation between variant functionality and evolutionary age. The data can be browsed and downloaded from a public website ( https://www.kobic.re.kr/kova/ ). We anticipate that KOVA 2 will serve as a valuable resource for genetic studies involving East Asian populations.
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Affiliation(s)
- Jeongeun Lee
- grid.31501.360000 0004 0470 5905Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul, 03080 Republic of Korea
| | - Jean Lee
- grid.31501.360000 0004 0470 5905Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea
| | - Sungwon Jeon
- grid.42687.3f0000 0004 0381 814XDepartment of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919 Republic of Korea
| | - Jeongha Lee
- grid.31501.360000 0004 0470 5905Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea
| | - Insu Jang
- grid.249967.70000 0004 0636 3099Korea BioInformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141 Republic of Korea
| | - Jin Ok Yang
- grid.249967.70000 0004 0636 3099Korea BioInformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141 Republic of Korea ,grid.37172.300000 0001 2292 0500Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of Korea
| | - Soojin Park
- grid.31501.360000 0004 0470 5905Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea
| | - Byungwook Lee
- grid.249967.70000 0004 0636 3099Korea BioInformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141 Republic of Korea
| | - Jinwook Choi
- grid.31501.360000 0004 0470 5905Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, Seoul, 03080 Republic of Korea ,grid.31501.360000 0004 0470 5905Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea
| | - Byung-Ok Choi
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351 Republic of Korea
| | - Heon Yung Gee
- grid.15444.300000 0004 0470 5454Department of Pharmacology, Brain Korea 21 PLUS Project for Medical Sciences, Yonsei University College of Medicine, Seoul, 03722 Republic of Korea
| | - Jaeseong Oh
- grid.31501.360000 0004 0470 5905Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, 03080 Republic of Korea
| | - In-Jin Jang
- grid.31501.360000 0004 0470 5905Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, 03080 Republic of Korea
| | - Sanghyuk Lee
- grid.255649.90000 0001 2171 7754Department of Bio-Information Science, Ewha Womans University, Seoul, 03760 Republic of Korea
| | - Daehyun Baek
- grid.31501.360000 0004 0470 5905School of Biological Sciences, Seoul National University, Seoul, 08826 Republic of Korea
| | - Youngil Koh
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, Seoul, 03080 Republic of Korea
| | - Sung-Soo Yoon
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, Seoul, 03080 Republic of Korea
| | - Young-Joon Kim
- grid.15444.300000 0004 0470 5454Department of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722 Republic of Korea
| | - Jong-Hee Chae
- grid.31501.360000 0004 0470 5905Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea ,grid.412484.f0000 0001 0302 820XDepartment of Genomic Medicine, Seoul National University Hospital, Seoul, 03080 Republic of Korea
| | - Woong-Yang Park
- grid.414964.a0000 0001 0640 5613Samsung Genome Institute, Samsung Medical Center, Seoul, 06351 Republic of Korea
| | - Jong Hwa Bhak
- grid.42687.3f0000 0004 0381 814XDepartment of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919 Republic of Korea
| | - Murim Choi
- grid.31501.360000 0004 0470 5905Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080 Republic of Korea
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Sasaki T, Bracero S, Keegan J, Chen L, Cao Y, Stevens E, Qu Y, Wang G, Nguyen J, Sparks JA, Holers VM, Alves SE, Lederer JA, Costenbader KH, Rao DA. Longitudinal Immune Cell Profiling in Patients With Early Systemic Lupus Erythematosus. Arthritis Rheumatol 2022; 74:1808-1821. [PMID: 35644031 PMCID: PMC10238884 DOI: 10.1002/art.42248] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 04/29/2022] [Accepted: 05/24/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVES To investigate the immune cell profiles of patients with systemic lupus erythematosus (SLE), and to identify longitudinal changes in those profiles over time. METHODS We employed mass cytometry with 3 different panels of 38-39 markers (an immunophenotyping panel, a T cell/monocyte panel, and a B cell panel) in cryopreserved peripheral blood mononuclear cells (PBMCs) from 9 patients with early SLE, 15 patients with established SLE, and 14 controls without autoimmune disease. We used machine learning-driven clustering, flow self-organizing maps, and dimensional reduction with t-distributed stochastic neighbor embedding to identify unique cell populations in early SLE and established SLE. We used mass cytometry data of PBMCs from 19 patients with early rheumatoid arthritis (RA) and 23 controls to compare levels of specific cell populations in early RA and SLE. For the 9 patients with early SLE, longitudinal mass cytometry analysis was applied to PBMCs at enrollment, 6 months after enrollment, and 1 year after enrollment. Serum samples were also assayed for 65 cytokines using Luminex multiplex assay, and associations between cell types and cytokines/chemokines were assessed. RESULTS Levels of peripheral helper T cells, follicular helper T (Tfh) cells, and several Ki-67+ proliferating subsets (ICOS+Ki-67+ CD8 T cells, Ki-67+ regulatory T cells, CD19intermediate Ki-67high plasmablasts, and PU.1high Ki-67high monocytes) were increased in patients with early SLE, with more prominent alterations than were seen in patients with early RA. Longitudinal mass cytometry and multiplex serum cytokine assays of samples from patients with early SLE revealed that levels of Tfh cells and CXCL10 had decreased 1 year after enrollment. Levels of CXCL13 were positively correlated with levels of several of the expanded cell populations in early SLE. CONCLUSION Two major helper T cell subsets and unique Ki-67+ proliferating immune cell subsets were expanded in patients in the early phase of SLE, and the immunologic features characteristic of early SLE evolved over time.
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Affiliation(s)
- Takanori Sasaki
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Sabrina Bracero
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Joshua Keegan
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Lin Chen
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Ye Cao
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Emma Stevens
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Yujie Qu
- Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA
| | - Guoxing Wang
- Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA
| | - Jennifer Nguyen
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jeffrey A. Sparks
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - V. Michael Holers
- Division of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Stephen E. Alves
- Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA
| | - James A. Lederer
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Deepak A. Rao
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
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48
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Hou G, Zhou T, Xu N, Yin Z, Zhu X, Zhang Y, Cui Y, Ma J, Tang Y, Cheng Z, Shen Y, Chen Y, Zou LH, Wang YF, Yin Z, Guo Y, Ding H, Ye Z, Shen N. Integrative Functional Genomics Identifies Systemic Lupus Erythematosus Causal Genetic Variant in the IRF5 Risk Locus. Arthritis Rheumatol 2022; 75:574-585. [PMID: 36245280 DOI: 10.1002/art.42390] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 09/14/2022] [Accepted: 10/04/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE IRF5 plays a crucial role in the development of lupus. Genome-wide association studies have identified several systemic lupus erythematosus (SLE) risk single-nucleotide polymorphisms (SNPs) enriched in the IRF5 locus. However, no comprehensive genome editing-based functional analysis exists to establish a direct link between these variants and altered IRF5 expression, particularly for enhancer variants. This study was undertaken to dissect the regulatory function and mechanisms of SLE IRF5 enhancer risk variants and to explore the utilization of clustered regularly interspaced short palindromic repeat interference (CRISPRi) to regulate the expression of disease risk gene to intervene in the disease. METHODS Epigenomic profiles and expression quantitative trait locus analysis were applied to prioritize putative functional variants in the IRF5 locus. CRISPR-mediated deletion, activation, and interference were performed to investigate the genetic function of rs4728142. Allele-specific chromatin immunoprecipitation-quantitative polymerase chain reaction and allele-specific formaldehyde-assisted isolation of regulatory element-quantitative polymerase chain reaction were used to decipher the mechanism of alleles differentially regulating IRF5 expression. The CRISPRi approach was used to evaluate the intervention effect in monocytes from SLE patients. RESULTS SLE risk SNP rs4728142 was located in an enhancer region, indicating a disease-related regulatory function, and risk allele rs4728142-A was closely associated with increased IRF5 expression. We demonstrated that an rs4728142-containing region could act as an enhancer to regulate the expression of IRF5. Moreover, rs4728142 affected the binding affinity of zinc finger and BTB domain-containing protein 3 (ZBTB3), a transcription factor involved in regulation. Furthermore, in monocytes from SLE patients, CRISPR-based interference with the regulation of this enhancer attenuated the production of disease-associated cytokines. CONCLUSION These results demonstrate that the rs4728142-A allele increases the SLE risk by affecting ZBTB3 binding, chromatin status, and regulating IRF5 expression, establishing a biologic link between genetic variation and lupus pathogenesis.
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Affiliation(s)
- Guojun Hou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China, and State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tian Zhou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ning Xu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhihua Yin
- Shenzhen Futian Hospital for Rheumatic Diseases, and Joint Research Laboratory for Rheumatology of Shenzhen University Health Science Center and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Xinyi Zhu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yutong Zhang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yange Cui
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jianyang Ma
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanjia Tang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhaorui Cheng
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwei Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yashuo Chen
- Shenzhen Futian Hospital for Rheumatic Diseases, and Joint Research Laboratory for Rheumatology of Shenzhen University Health Science Center and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Ling-Hua Zou
- Shenzhen Futian Hospital for Rheumatic Diseases, and Joint Research Laboratory for Rheumatology of Shenzhen University Health Science Center and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Yong-Fei Wang
- School of Life and Health Sciences, School of Medicine, and Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - Zihang Yin
- Sheng Yushou Center of Cell Biology and Immunology, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Ya Guo
- Sheng Yushou Center of Cell Biology and Immunology, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Huihua Ding
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhizhong Ye
- Shenzhen Futian Hospital for Rheumatic Diseases, and Joint Research Laboratory for Rheumatology of Shenzhen University Health Science Center and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China, State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Center for Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, and Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
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49
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Coit P, Roopnarinesingh X, Ortiz-Fernández L, McKinnon-Maksimowicz K, Lewis EE, Merrill JT, McCune WJ, Wren JD, Sawalha AH. Hypomethylation of miR-17-92 cluster in lupus T cells and no significant role for genetic factors in the lupus-associated DNA methylation signature. Ann Rheum Dis 2022; 81:1428-1437. [PMID: 35710306 PMCID: PMC10259175 DOI: 10.1136/annrheumdis-2022-222656] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/07/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Lupus T cells demonstrate aberrant DNA methylation patterns dominated by hypomethylation of interferon-regulated genes. The objective of this study was to identify additional lupus-associated DNA methylation changes and determine the genetic contribution to epigenetic changes characteristic of lupus. METHODS Genome-wide DNA methylation was assessed in naïve CD4+ T cells from 74 patients with lupus and 74 age-matched, sex-matched and race-matched healthy controls. We applied a trend deviation analysis approach, comparing methylation data in our cohort with over 16 500 samples. Methylation quantitative trait loci (meQTL) analysis was performed by integrating methylation profiles with genome-wide genotyping data. RESULTS In addition to the previously reported epigenetic signature in interferon-regulated genes, we observed hypomethylation in the promoter region of the miR-17-92 cluster in patients with lupus. Members of this microRNA cluster play an important role in regulating T cell proliferation and differentiation. Expression of two microRNAs in this cluster, miR-19b1 and miR-18a, showed a significant positive correlation with lupus disease activity. Among miR-18a target genes, TNFAIP3, which encodes a negative regulator of nuclear factor kappa B, was downregulated in lupus CD4+ T cells. MeQTL identified in lupus patients showed overlap with genetic risk loci for lupus, including CFB and IRF7. The lupus risk allele in IRF7 (rs1131665) was associated with significant IRF7 hypomethylation. However, <1% of differentially methylated CpG sites in patients with lupus were associated with an meQTL, suggesting minimal genetic contribution to lupus-associated epigenotypes. CONCLUSION The lupus defining epigenetic signature, characterised by robust hypomethylation of interferon-regulated genes, does not appear to be determined by genetic factors. Hypomethylation of the miR-17-92 cluster that plays an important role in T cell activation is a novel epigenetic locus for lupus.
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Affiliation(s)
- Patrick Coit
- Division of Rheumatology, Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Graduate Program in Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Xiavan Roopnarinesingh
- Graduate Program, Department of Biochemistry and Molecular Biology, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA
| | - Lourdes Ortiz-Fernández
- Division of Rheumatology, Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Emily E Lewis
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Joan T Merrill
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA
| | - W Joseph McCune
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Jonathan D Wren
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA
- Department of Biochemistry and Molecular Biology, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Amr H Sawalha
- Division of Rheumatology, Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Lupus Center of Excellence, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Department of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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50
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Tian P, Chan TH, Wang YF, Yang W, Yin G, Zhang YD. Multiethnic polygenic risk prediction in diverse populations through transfer learning. Front Genet 2022; 13:906965. [PMID: 36061179 PMCID: PMC9438789 DOI: 10.3389/fgene.2022.906965] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/27/2022] [Indexed: 11/28/2022] Open
Abstract
Polygenic risk scores (PRS) leverage the genetic contribution of an individual’s genotype to a complex trait by estimating disease risk. Traditional PRS prediction methods are predominantly for the European population. The accuracy of PRS prediction in non-European populations is diminished due to much smaller sample size of genome-wide association studies (GWAS). In this article, we introduced a novel method to construct PRS for non-European populations, abbreviated as TL-Multi, by conducting a transfer learning framework to learn useful knowledge from the European population to correct the bias for non-European populations. We considered non-European GWAS data as the target data and European GWAS data as the informative auxiliary data. TL-Multi borrows useful information from the auxiliary data to improve the learning accuracy of the target data while preserving the efficiency and accuracy. To demonstrate the practical applicability of the proposed method, we applied TL-Multi to predict the risk of systemic lupus erythematosus (SLE) in the Asian population and the risk of asthma in the Indian population by borrowing information from the European population. TL-Multi achieved better prediction accuracy than the competing methods, including Lassosum and meta-analysis in both simulations and real applications.
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Affiliation(s)
- Peixin Tian
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China
| | - Tsai Hor Chan
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China
| | - Yong-Fei Wang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Wanling Yang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Guosheng Yin
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China
| | - Yan Dora Zhang
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China
- Centre for PanorOmic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- *Correspondence: Yan Dora Zhang,
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