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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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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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Choi SC, Park YP, Roach T, Jimenez D, Fisher A, Zadeh M, Ma L, Sobel ES, Ge Y, Mohamadzadeh M, Morel L. Lupus susceptibility gene Pbx1 controls the development, stability, and function of regulatory T cells via Rtkn2 expression. SCIENCE ADVANCES 2024; 10:eadi4310. [PMID: 38536923 PMCID: PMC10971436 DOI: 10.1126/sciadv.adi4310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 02/22/2024] [Indexed: 04/05/2024]
Abstract
The maintenance of regulatory T (Treg) cells critically prevents autoimmunity. Pre-B cell leukemia transcription factor 1 (Pbx1) variants are associated with lupus susceptibility, particularly through the expression of a dominant negative isoform Pbx1-d in CD4+ T cells. Pbx1-d overexpression impaired Treg cell homeostasis and promoted inflammatory CD4+ T cells. Here, we showed a high expression of Pbx1 in human and murine Treg cells, which is decreased in lupus patients and mice. Pbx1 deficiency or Pbx1-d overexpression reduced the number, stability, and suppressive activity of Treg cells, which increased murine responses to immunization and autoimmune induction. Mechanistically, Pbx1 deficiency altered the expression of genes implicated in cell cycle and apoptosis in Treg cells. Intriguingly, Rtkn2, a Rho-GTPase previously associated with Treg homeostasis, was directly transactivated by Pbx1. Our results suggest that the maintenance of Treg cell homeostasis and stability by Pbx1 through cell cycle progression prevent the expansion of inflammatory T cells that otherwise exacerbates lupus progression in the hosts.
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Affiliation(s)
- Seung-Chul Choi
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
| | - Yuk Pheel Park
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
| | - Tracoyia Roach
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
| | - Damian Jimenez
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
| | - Amanda Fisher
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
| | - Mojgan Zadeh
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
| | - Longhuan Ma
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
| | - Eric S. Sobel
- Department of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Yong Ge
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
| | - Mansour Mohamadzadeh
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
| | - Laurence Morel
- Department of Microbiology, Immunology, and Molecular Genetics, University of Texas Health San Antonio, TX 78229-3900, USA
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Yeo NKW, Lim CK, Yaung KN, Khoo NKH, Arkachaisri T, Albani S, Yeo JG. Genetic interrogation for sequence and copy number variants in systemic lupus erythematosus. Front Genet 2024; 15:1341272. [PMID: 38501057 PMCID: PMC10944961 DOI: 10.3389/fgene.2024.1341272] [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: 11/20/2023] [Accepted: 02/20/2024] [Indexed: 03/20/2024] Open
Abstract
Early-onset systemic lupus erythematosus presents with a more severe disease and is associated with a greater genetic burden, especially in patients from Black, Asian or Hispanic ancestries. Next-generation sequencing techniques, notably whole exome sequencing, have been extensively used in genomic interrogation studies to identify causal disease variants that are increasingly implicated in the development of autoimmunity. This Review discusses the known casual variants of polygenic and monogenic systemic lupus erythematosus and its implications under certain genetic disparities while suggesting an age-based sequencing strategy to aid in clinical diagnostics and patient management for improved patient care.
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Affiliation(s)
- Nicholas Kim-Wah Yeo
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Che Kang Lim
- Duke-NUS Medical School, Singapore, Singapore
- Department of Clinical Translation Research, Singapore General Hospital, Singapore, Singapore
| | - Katherine Nay Yaung
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Nicholas Kim Huat Khoo
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
| | - Thaschawee Arkachaisri
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Rheumatology and Immunology Service, KK Women's and Children's Hospital, Singapore, Singapore
| | - Salvatore Albani
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Rheumatology and Immunology Service, KK Women's and Children's Hospital, Singapore, Singapore
| | - Joo Guan Yeo
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Rheumatology and Immunology Service, KK Women's and Children's Hospital, Singapore, Singapore
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5
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Ma L, Ge Y, Brown J, Choi SC, Elshikha A, Kanda N, Terrell M, Six N, Garcia A, Mohamadzadeh M, Silverman G, Morel L. Dietary tryptophan and genetic susceptibility expand gut microbiota that promote systemic autoimmune activation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.16.575942. [PMID: 38293097 PMCID: PMC10827173 DOI: 10.1101/2024.01.16.575942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Tryptophan modulates disease activity and the composition of microbiota in the B6.Sle1.Sle2.Sle3 (TC) mouse model of lupus. To directly test the effect of tryptophan on the gut microbiome, we transplanted fecal samples from TC and B6 control mice into germ-free or antibiotic-treated non-autoimmune B6 mice that were fed with a high or low tryptophan diet. The recipient mice with TC microbiota and high tryptophan diet had higher levels of immune activation, autoantibody production and intestinal inflammation. A bloom of Ruminococcus gnavus (Rg), a bacterium associated with disease flares in lupus patients, only emerged in the recipients of TC microbiota fed with high tryptophan. Rg depletion in TC mice decreased autoantibody production and increased the frequency of regulatory T cells. Conversely, TC mice colonized with Rg showed higher autoimmune activation. Overall, these results suggest that the interplay of genetic and tryptophan can influence the pathogenesis of lupus through the gut microbiota.
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Affiliation(s)
- Longhuan Ma
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health San Antonio, San Antonio, TX
| | - Yong Ge
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health San Antonio, San Antonio, TX
| | - Josephine Brown
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Seung-Chul Choi
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health San Antonio, San Antonio, TX
| | - Ahmed Elshikha
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Nathalie Kanda
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Morgan Terrell
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Natalie Six
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health San Antonio, San Antonio, TX
| | - Abigail Garcia
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health San Antonio, San Antonio, TX
| | - Mansour Mohamadzadeh
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health San Antonio, San Antonio, TX
| | | | - Laurence Morel
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health San Antonio, San Antonio, TX
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6
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Buckner JH. Translational immunology: Applying fundamental discoveries to human health and autoimmune diseases. Eur J Immunol 2023; 53:e2250197. [PMID: 37101346 PMCID: PMC10600327 DOI: 10.1002/eji.202250197] [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: 01/04/2023] [Revised: 03/10/2023] [Accepted: 04/25/2023] [Indexed: 04/28/2023]
Abstract
Studying the human immune system is challenging. These challenges stem from the complexity of the immune system itself, the heterogeneity of the immune system between individuals, and the many factors that lead to this heterogeneity including the influence of genetics, environment, and immune experience. Studies of the human immune system in the context of disease are increased in complexity as multiple combinations and variations in immune pathways can lead to a single disease. Thus, although individuals with a disease may share clinical features, the underlying disease mechanisms and resulting pathophysiology can be diverse among individuals with the same disease diagnosis. This has consequences for the treatment of diseases, as no single therapy will work for everyone, therapeutic efficacy varies among patients, and targeting a single immune pathway is rarely 100% effective. This review discusses how to address these challenges by identifying and managing the sources of variation, improving access to high-quality, well-curated biological samples by building cohorts, applying new technologies such as single-cell omics and imaging technologies to interrogate samples, and bringing to bear computational expertise in conjunction with immunologists and clinicians to interpret those results. The review has a focus on autoimmune diseases, including rheumatoid arthritis, MS, systemic lupus erythematosus, and type 1 diabetes, but its recommendations are also applicable to studies of other immune-mediated diseases.
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Affiliation(s)
- Jane H Buckner
- Center for Translational Immunology, Benaroya Research Institute, Virginia Mason Hospital, Seattle, WA, USA
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7
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Rumker L, Sakaue S, Reshef Y, Kang JB, Yazar S, Alquicira-Hernandez J, Valencia C, Lagattuta KA, Mah-Som A, Nathan A, Powell JE, Loh PR, Raychaudhuri S. Identifying genetic variants that influence the abundance of cell states in single-cell data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.13.566919. [PMID: 38014313 PMCID: PMC10680752 DOI: 10.1101/2023.11.13.566919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Introductory ParagraphTo understand genetic mechanisms driving disease, it is essential but difficult to map how risk alleles affect the composition of cells present in the body. Single-cell profiling quantifies granular information about tissues, but variant-associated cell states may reflect diverse combinations of the profiled cell features that are challenging to predefine. We introduce GeNA (Genotype-Neighborhood Associations), a statistical tool to identify cell state abundance quantitative trait loci (csaQTLs) in high-dimensional single-cell datasets. Instead of testing associations to predefined cell states, GeNA flexibly identifies the cell states whose abundance is most associated with genetic variants. In a genome-wide survey of scRNA-seq peripheral blood profiling from 969 individuals,1GeNA identifies five independent loci associated with shifts in the relative abundance of immune cell states. For example, rs3003-T (p=1.96×10-11) associates with increased abundance of NK cells expressing TNF-α response programs. This csaQTL colocalizes with increased risk for psoriasis, an autoimmune disease that responds to anti-TNF treatments. Flexibly characterizing csaQTLs for granular cell states may help illuminate how genetic background alters cellular composition to confer disease risk.
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Affiliation(s)
- Laurie Rumker
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saori Sakaue
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yakir Reshef
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joyce B. Kang
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Seyhan Yazar
- Translational Genomics, Garvan Institute of Medical Research, Sydney, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, Australia
| | - Jose Alquicira-Hernandez
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Cristian Valencia
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kaitlyn A Lagattuta
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Annelise Mah-Som
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Aparna Nathan
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joseph E. Powell
- Translational Genomics, Garvan Institute of Medical Research, Sydney, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, Australia
| | - Po-Ru Loh
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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Sestan M, Kifer N, Arsov T, Cook M, Ellyard J, Vinuesa CG, Jelusic M. The Role of Genetic Risk Factors in Pathogenesis of Childhood-Onset Systemic Lupus Erythematosus. Curr Issues Mol Biol 2023; 45:5981-6002. [PMID: 37504294 PMCID: PMC10378459 DOI: 10.3390/cimb45070378] [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: 06/22/2023] [Revised: 07/09/2023] [Accepted: 07/12/2023] [Indexed: 07/29/2023] Open
Abstract
The pathogenesis of childhood-onset systemic lupus erythematosus (cSLE) is complex and not fully understood. It involves three key factors: genetic risk factors, epigenetic mechanisms, and environmental triggers. Genetic factors play a significant role in the development of the disease, particularly in younger individuals. While cSLE has traditionally been considered a polygenic disease, it is now recognized that in rare cases, a single gene mutation can lead to the disease. Although these cases are uncommon, they provide valuable insights into the disease mechanism, enhance our understanding of pathogenesis and immune tolerance, and facilitate the development of targeted treatment strategies. This review aims to provide a comprehensive overview of both monogenic and polygenic SLE, emphasizing the implications of specific genes in disease pathogenesis. By conducting a thorough analysis of the genetic factors involved in SLE, we can improve our understanding of the underlying mechanisms of the disease. Furthermore, this knowledge may contribute to the identification of effective biomarkers and the selection of appropriate therapies for individuals with SLE.
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Affiliation(s)
- Mario Sestan
- Department of Paediatrics, University of Zagreb School of Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia
| | - Nastasia Kifer
- Department of Paediatrics, University of Zagreb School of Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia
| | - Todor Arsov
- Faculty of Medical Sciences, University Goce Delchev, 2000 Shtip, North Macedonia
- The Francis Crick Institute, London NW1 1AT, UK
| | - Matthew Cook
- Department of Immunology and Infectious Diseases, The John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia
- Department of Medicine, University of Cambridge, Cambridge CB2 1TN, UK
| | - Julia Ellyard
- Department of Immunology and Infectious Diseases, The John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia
| | | | - Marija Jelusic
- Department of Paediatrics, University of Zagreb School of Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia
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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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Wu S, Chen J, Teo BHD, Wee SYK, Wong MHM, Cui J, Chen J, Leong KP, Lu J. The axis of complement C1 and nucleolus in antinuclear autoimmunity. Front Immunol 2023; 14:1196544. [PMID: 37359557 PMCID: PMC10288996 DOI: 10.3389/fimmu.2023.1196544] [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: 03/30/2023] [Accepted: 05/19/2023] [Indexed: 06/28/2023] Open
Abstract
Antinuclear autoantibodies (ANA) are heterogeneous self-reactive antibodies that target the chromatin network, the speckled, the nucleoli, and other nuclear regions. The immunological aberration for ANA production remains partially understood, but ANA are known to be pathogenic, especially, in systemic lupus erythematosus (SLE). Most SLE patients exhibit a highly polygenic disease involving multiple organs, but in rare complement C1q, C1r, or C1s deficiencies, the disease can become largely monogenic. Increasing evidence point to intrinsic autoimmunogenicity of the nuclei. Necrotic cells release fragmented chromatins as nucleosomes and the alarmin HMGB1 is associated with the nucleosomes to activate TLRs and confer anti-chromatin autoimmunogenecity. In speckled regions, the major ANA targets Sm/RNP and SSA/Ro contain snRNAs that confer autoimmunogenecity to Sm/RNP and SSA/Ro antigens. Recently, three GAR/RGG-containing alarmins have been identified in the nucleolus that helps explain its high autoimmunogenicity. Interestingly, C1q binds to the nucleoli exposed by necrotic cells to cause protease C1r and C1s activation. C1s cleaves HMGB1 to inactive its alarmin activity. C1 proteases also degrade many nucleolar autoantigens including nucleolin, a major GAR/RGG-containing autoantigen and alarmin. It appears that the different nuclear regions are intrinsically autoimmunogenic by containing autoantigens and alarmins. However, the extracellular complement C1 complex function to dampen nuclear autoimmunogenecity by degrading these nuclear proteins.
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Affiliation(s)
- Shan Wu
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Immunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Junjie Chen
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Immunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Boon Heng Dennis Teo
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Immunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Seng Yin Kelly Wee
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Immunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ming Hui Millie Wong
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Immunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jianzhou Cui
- Immunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jinmiao Chen
- Immunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Khai Pang Leong
- Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, Singapore, Singapore
| | - Jinhua Lu
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Immunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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11
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Nezhad Nezhad MT, Rajabi M, Nekooeizadeh P, Sanjari S, Pourvirdi B, Heidari MM, Veradi Esfahani P, Abdoli A, Bagheri S, Tobeiha M. Systemic lupus erythematosus: From non-coding RNAs to exosomal non-coding RNAs. Pathol Res Pract 2023; 247:154508. [PMID: 37224659 DOI: 10.1016/j.prp.2023.154508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/01/2023] [Accepted: 05/05/2023] [Indexed: 05/26/2023]
Abstract
Systemic lupus erythematosus (SLE), as an immunological illness, frequently impacts young females. Both vulnerabilities to SLE and the course of the illness's clinical symptoms have been demonstrated to be affected by individual differences in non-coding RNA expression. Many non-coding RNAs (ncRNAs) are out of whack in patients with SLE. Because of the dysregulation of several ncRNAs in peripheral blood of patients suffering from SLE, these ncRNAs to be showed valuable as biomarkers for medication response, diagnosis, and activity. NcRNAs have also been demonstrated to influence immune cell activity and apoptosis. Altogether, these facts highlight the need of investigating the roles of both families of ncRNAs in the progress of SLE. Being aware of the significance of these transcripts perhaps elucidates the molecular pathogenesis of SLE and could open up promising avenues to create tailored treatments during this condition. In this review we summarized various non-coding RNAs and Exosomal non-coding RNAs in SLE.
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Affiliation(s)
| | - Mohammadreza Rajabi
- Student Research Committee، Shiraz University of Medical Sciences, Shiraz, Iran
| | - Pegah Nekooeizadeh
- Student Research Committee، Shiraz University of Medical Sciences, Shiraz, Iran
| | - Siavash Sanjari
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran; School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Bita Pourvirdi
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran; School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Mohammad Mehdi Heidari
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran; Department of Pediatric, Faculty of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Pegah Veradi Esfahani
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran; School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Amirhossein Abdoli
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran; School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Sahar Bagheri
- Diabetes Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
| | - Mohammad Tobeiha
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran; Department of Pediatric, Faculty of Medicine, Kashan University of Medical Sciences, Kashan, Iran.
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12
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Khunsriraksakul C, Li Q, Markus H, Patrick MT, Sauteraud R, McGuire D, Wang X, Wang C, Wang L, Chen S, Shenoy G, Li B, Zhong X, Olsen NJ, Carrel L, Tsoi LC, Jiang B, Liu DJ. Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus. Nat Commun 2023; 14:668. [PMID: 36750564 PMCID: PMC9905560 DOI: 10.1038/s41467-023-36306-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 01/25/2023] [Indexed: 02/09/2023] Open
Abstract
Systemic lupus erythematosus is a heritable autoimmune disease that predominantly affects young women. To improve our understanding of genetic etiology, we conduct multi-ancestry and multi-trait meta-analysis of genome-wide association studies, encompassing 12 systemic lupus erythematosus cohorts from 3 different ancestries and 10 genetically correlated autoimmune diseases, and identify 16 novel loci. We also perform transcriptome-wide association studies, computational drug repurposing analysis, and cell type enrichment analysis. We discover putative drug classes, including a histone deacetylase inhibitor that could be repurposed to treat lupus. We also identify multiple cell types enriched with putative target genes, such as non-classical monocytes and B cells, which may be targeted for future therapeutics. Using this newly assembled result, we further construct polygenic risk score models and demonstrate that integrating polygenic risk score with clinical lab biomarkers improves the diagnostic accuracy of systemic lupus erythematosus using the Vanderbilt BioVU and Michigan Genomics Initiative biobanks.
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Affiliation(s)
- Chachrit Khunsriraksakul
- Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA.,Institute for Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Qinmengge Li
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Havell Markus
- Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA.,Institute for Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Matthew T Patrick
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Renan Sauteraud
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Daniel McGuire
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Xingyan Wang
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Chen Wang
- Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Lida Wang
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Siyuan Chen
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Ganesh Shenoy
- Department of Neurosurgery, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Bingshan Li
- Department of Molecular Physiology & Biophysics, Vanderbilt University, Nashville, TN, 37235, USA
| | - Xue Zhong
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Nancy J Olsen
- Department of Medicine, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Laura Carrel
- Department of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Lam C Tsoi
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Bibo Jiang
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Dajiang J Liu
- Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA. .,Institute for Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA. .,Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA.
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13
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Immunometabolic alterations in lupus: where do they come from and where do we go from there? Curr Opin Immunol 2022; 78:102245. [PMID: 36122544 PMCID: PMC10161929 DOI: 10.1016/j.coi.2022.102245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 08/23/2022] [Indexed: 01/28/2023]
Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disease in which the overactivation of the immune system has been associated with metabolic alterations. Targeting the altered immunometabolism has been proposed to treat SLE patients based on their results obtained and mouse models of the disease. Here, we review the recent literature to discuss the possible origins of the alterations in the metabolism of immune cells in lupus, the dominant role of mitochondrial defects, technological advances that may move the field forward, as well as how targeting lupus immunometabolism may have therapeutic potential.
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14
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Wang R, Wei A, Zhang Y, Xu G, Nong X, Liu C, Zeng Y, Huang H, Pang X, Wei W, Wang C, Huang H. Association between genetic variants of microRNA-21 and microRNA-155 and systemic lupus erythematosus: A case-control study from a Chinese population. J Clin Lab Anal 2022; 36:e24518. [PMID: 35707883 PMCID: PMC9279951 DOI: 10.1002/jcla.24518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 05/13/2022] [Accepted: 05/16/2022] [Indexed: 11/17/2022] Open
Abstract
Background Systemic lupus erythematosus (SLE) is a common autoimmune disease, and its pathogenesis remains unclear. The alteration of genetic materials is believed to play a role in SLE development. This study evaluated the association between the genetic variants of microRNA‐21 (miR‐21) and microRNA‐155 (miR‐155) and SLE. Methods The SNaPshot genotyping method was used to detect the genotypes of selected SNPs in patients and controls. The expression of miR‐21 and miR‐155 was analyzed using reverse transcription‐quantitative polymerase chain reaction (RT‐qPCR). The functional annotation and the biological effects of SNPs were assessed by HaploReg V4.1 and Regulome DB V2.0 software. The Hardy–Weinberg equilibrium test was used to gather statistics, and odds ratios (ORs) and 95% confidence intervals (CIs) were evaluated by logistic regression. Results The distribution difference of TA genotype in rs767649 was observed (TA vs. T/T: OR = 0.68, 95%CI, 0.48–0.95, p = 0.026). There was a significant difference in the T/A + A/A (T/A + A/A vs. T/T: OR = 0.68, 95%CI, 0.49–0.94, p = 0.020). A significant difference in T allele distribution was found in the depressed complement of SLE (T vs. A: OR = 0.67, 95%CI, 0.47–0.95, p = 0.026). There were significant differences in genetic variants of rs13137 between the positive and the negative SSB antibodies (Anti‐SSB) (T vs. A: OR = 0.67, 95%CI, 0.47–0.95, p = 0.026; T/A + T/T vs. AA: OR = 2.23, 1.18–4.49, p = 0.013). The expression levels of miR‐21 and miR‐155 were significantly higher in patients than in controls (p < 0.001). Conclusions This study provides novel insight that genetic variants of rs767649 and rs13137 are associated with susceptibility to SLE.
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Affiliation(s)
- Rong Wang
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Anji Wei
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Yingjie Zhang
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Guidan Xu
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Xuejuan Nong
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Chunhong Liu
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Yonglong Zeng
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Huatuo Huang
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Xiaoxia Pang
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Wujun Wei
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Chunfang Wang
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Huayi Huang
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.,Mindray North America, 800 MacArthur Boulevard, Mahwah, New Jersey, USA.,Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Elm and Carton Streets, Buffalo, New York, USA
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15
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Chen J, Zhang P, Chen H, Wang X, He X, Zhong J, Zheng H, Li X, Jakovlić I, Zhang Y, Chen Y, Shen B, Deng C, Wu Y. Whole-genome sequencing identifies rare missense variants of WNT16 and ERVW-1 causing the systemic lupus erythematosus. Genomics 2022; 114:110332. [PMID: 35283196 DOI: 10.1016/j.ygeno.2022.110332] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 01/27/2022] [Accepted: 03/06/2022] [Indexed: 01/14/2023]
Abstract
Systemic lupus erythematosus (SLE, OMIM 152700) is a rare autoimmune disease with high heritability that affects ~0.1% of the population. Previous studies have revealed several common variants with small effects in European and East Asian SLE patients. However, there is still no rare variant study on Chinese SLE patients using the whole-genome sequencing technology (WGS). Here, we designed a family based WGS study to identify novel rare variants with large effects. Based on large-scale allele frequency data from the gnomAD database, we identified rare protein-coding gene variants with disruptive and sequence-altering impacts in SLE patients. We found that the burden of rare variants was significantly higher than that of common variants in patients, suggesting a larger effect of rare variants on the SLE pathogenesis. We identified the pathogenic risk of rare missense variants with significant odds ratios (p < 0.05) in two genes, including WNT16 (NC_000007.14:g.121329757G > C, NP_057171.2:p.(Ala86Pro) and 7 g.121329760G > C, NP_057171.2:p.(Ala87Pro)), which explains five out of seven patients covering all three families but are absent from all controls, and ERVW-1 (NC_000007.14:g.92469882A > G, NP_001124397.1:p.(Leu167Pro), rs74545114; NC_000007.14:g.92469907G > A, NP_001124397.1:p.(Arg159Cys), rs201142302; NC_000007.14:g.92469919G > A, NP_001124397.1:p.(His155Tyr), rs199552228), which explains the other two patients. None of these variants were identified in any of the controls. These associations are supported by known gene expression studies in SLE patients based on literature review. We further tested the wild and mutant types using the luciferase assays and qPCR in cells. We found that WNT16 can activate the canonical Wnt/β-catenin pathway while the mutant cannot. Additionally, the wild ERVW-1 expression can be significantly up-regulated by cAMP while the mutant cannot. Our study provides the first direct genetic and in vitro evidence for the pathogenic risk of mutant WNT16 and ERVW-1, which may facilitate the design of precision therapy for SLE.
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Affiliation(s)
- Jianhai Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China; Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Ping Zhang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Haidi Chen
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xin Wang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xuefei He
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jie Zhong
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - HuaPing Zheng
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xiaoyu Li
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | | | - Yong Zhang
- Key Laboratory of Transplant Engineering and Immunology, Ministry of Health, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Younan Chen
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Bairong Shen
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Cheng Deng
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yongkang Wu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
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16
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Polymorphism in STAT4 Increase the Risk of Systemic Lupus Erythematosus: An Updated Meta-Analysis. Int J Rheumatol 2022; 2022:5565057. [PMID: 35493285 PMCID: PMC9054488 DOI: 10.1155/2022/5565057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 03/22/2022] [Indexed: 11/25/2022] Open
Abstract
Previous studies have reported that STAT4 rs7574865 conferred the susceptibility to systemic lupus erythematosus (SLE). In this study, a meta-analysis (including 32 comparative studies of 11384 patients and 17609 controls) was conducted to investigate the role of STAT4 polymorphism in SLE in a comprehensive way. We found that the Asian population had the highest prevalence of the T allele than any other study population at 32.2% and that STAT4 rs7574865 polymorphism was associated with SLE in the overall population (OR = 1.579, 95%CI = 1.497-1.665, P < 0.001). In the subgroup analysis by ethnicity, STAT4 rs7574865 T allele was shown to be risk factor in SLE in Asian, European, and American origins. Our results do support STAT4 rs7574865 polymorphism as a susceptibility factor for SLE in populations of different ethnic and that its prevalence is ethnicity dependent.
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Marion MC, Ramos PS, Bachali P, Labonte AC, Zimmerman KD, Ainsworth HC, Heuer SE, Robl RD, Catalina MD, Kelly JA, Howard TD, Lipsky PE, Grammer AC, Langefeld CD. Nucleic Acid-Sensing and Interferon-Inducible Pathways Show Differential Methylation in MZ Twins Discordant for Lupus and Overexpression in Independent Lupus Samples: Implications for Pathogenic Mechanism and Drug Targeting. Genes (Basel) 2021; 12:genes12121898. [PMID: 34946847 PMCID: PMC8701117 DOI: 10.3390/genes12121898] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/22/2021] [Accepted: 11/25/2021] [Indexed: 12/27/2022] Open
Abstract
Systemic lupus erythematosus (SLE) is a chronic, multisystem, autoimmune inflammatory disease with genomic and non-genomic contributions to risk. We hypothesize that epigenetic factors are a significant contributor to SLE risk and may be informative for identifying pathogenic mechanisms and therapeutic targets. To test this hypothesis while controlling for genetic background, we performed an epigenome-wide analysis of DNA methylation in genomic DNA from whole blood in three pairs of female monozygotic (MZ) twins of European ancestry, discordant for SLE. Results were replicated on the same array in four cell types from a set of four Danish female MZ twin pairs discordant for SLE. Genes implicated by the epigenetic analyses were then evaluated in 10 independent SLE gene expression datasets from the Gene Expression Omnibus (GEO). There were 59 differentially methylated loci between unaffected and affected MZ twins in whole blood, including 11 novel loci. All but two of these loci were hypomethylated in the SLE twins relative to the unaffected twins. The genes harboring these hypomethylated loci exhibited increased expression in multiple independent datasets of SLE patients. This pattern was largely consistent regardless of disease activity, cell type, or renal tissue type. The genes proximal to CpGs exhibiting differential methylation (DM) in the SLE-discordant MZ twins and exhibiting differential expression (DE) in independent SLE GEO cohorts (DM-DE genes) clustered into two pathways: the nucleic acid-sensing pathway and the type I interferon pathway. The DM-DE genes were also informatically queried for potential gene–drug interactions, yielding a list of 41 drugs including a known SLE therapy. The DM-DE genes delineate two important biologic pathways that are not only reflective of the heterogeneity of SLE but may also correlate with distinct IFN responses that depend on the source, type, and location of nucleic acid molecules and the activated receptors in individual patients. Cell- and tissue-specific analyses will be critical to the understanding of genetic factors dysregulating the nucleic acid-sensing and IFN pathways and whether these factors could be appropriate targets for therapeutic intervention.
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Affiliation(s)
- Miranda C. Marion
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; (M.C.M.); (H.C.A.)
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Paula S. Ramos
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA;
| | - Prathyusha Bachali
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Adam C. Labonte
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Kip D. Zimmerman
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Hannah C. Ainsworth
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; (M.C.M.); (H.C.A.)
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Sarah E. Heuer
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
- The Jackson Laboratory, Tufts Graduate School of Biomedical Sciences, Bar Harbor, ME 04609, USA
| | - Robert D. Robl
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Michelle D. Catalina
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Jennifer A. Kelly
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA;
| | - Timothy D. Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Peter E. Lipsky
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Amrie C. Grammer
- AMPEL BioSolutions, LLC and RILITE Research Institute, Charlottesville, VA 22902, USA; (P.B.); (A.C.L.); (S.E.H.); (R.D.R.); (M.D.C.); (P.E.L.); (A.C.G.)
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA; (M.C.M.); (H.C.A.)
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
- Correspondence:
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18
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Mao YM, He YS, Wu GC, Hu YQ, Xiang K, Liao T, Yan YL, Yang XK, Shuai ZW, Wang GH, Pan HF, Ye DQ. Association of MALAT-1 gene single nucleotide polymorphisms with genetic susceptibility to systemic lupus erythematosus. Lupus 2021; 30:1923-1930. [PMID: 34482739 DOI: 10.1177/09612033211040366] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background: Abnormal expression and function of long non-coding RNAs (lncRNAs) are closely related to the pathogenesis of systemic lupus erythematosus (SLE). In this study, we aimed to investigate the association of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1) gene single-nucleotide polymorphisms (SNPs) with susceptibility and clinical characteristics of SLE patients. Methods: A case-control study including 489 SLE patients and 492 healthy controls was conducted. Four MALAT-1 SNPs (rs4102217, rs591291, rs11227209, and rs619586) were genotyped in all subjects, their correlation with SLE susceptibility and clinical characteristics were also analyzed. Results: Results showed that the rs4102217 locus was associated with the risk of SLE. In recessive models, the GG+CG genotype of rs4102217 was associated with the decreased risk of SLE compared to CC (p = 0.036, OR = 0.348, 95% CI: 0.124-0.975). In additive models, the GG genotype of rs4102217 was associated with the decreased risk of SLE compared to CC (p = 0.040, OR = 0.355, 95% CI: 0.127-0.996). However, no association was found between MALAT-1 gene polymorphism and clinical manifestations of SLE (all p > 0.05). Conclusion: In summary, MALAT-1 rs4102217 is associated with susceptibility to SLE, suggesting that MALAT-1 may play a role in SLE.
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Affiliation(s)
- Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yi-Sheng He
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Guo-Cui Wu
- School of Nursing, 12485Anhui Medical University, Hefei, China
| | - Yu-Qian Hu
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Kun Xiang
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Tao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yu-Lu Yan
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xiao-Ke Yang
- Department of Rheumatology and Immunology, 36639The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, 36639The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Gui-Hong Wang
- Department of Rheumatology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, 12485Anhui Medical University, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
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19
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Sousa APMD, de Souza Costa GC, de Oliveira Costa GN, Barbosa LM, Grassi MFR, Monteiro MEH, Dos Reis MG, Barreto ML, Pedreira AL, Ribeiro DS, Lins CF, Galvão V, Santos WGD, Machicado V, da Fonseca EP, Silva CBR, Santiago MB. Genetic Polymorphisms in Patients With Systemic Lupus Erythematosus and Jaccoud Arthropathy: A Pilot Study. J Clin Rheumatol 2021; 27:S193-S197. [PMID: 34525002 DOI: 10.1097/rhu.0000000000001653] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Jaccoud arthropathy (JA) is a nonerosive and deforming arthropathy experienced frequently by patients with systemic lupus erythematosus (SLE). Although genetic polymorphisms are associated with SLE development, the association between genetic polymorphisms and JA has not been studied to date. The main objective of this study was to evaluate an association between HLA, STAT4, IRF5, and BLK polymorphisms and the presence of JA in Brazilian individuals with SLE. METHODS Patients were selected from a cohort of individuals with SLE followed at 2 rheumatology reference centers in Salvador, Bahia, Brazil. The JA diagnosis was based on clinical and radiological criteria. The participants were genotyped for rs9271100, rs7574865, rs10488631, and rs13277113 polymorphisms in the HLA, STAT4, IRF5, and BLK genes, respectively, using real-time polymerase chain reaction. The presence of JA was correlated with allele frequencies, and clinical and laboratory data. RESULTS One hundred forty-four individuals with SLE (38 with JA and 106 with SLE without JA) were studied. The mean age of the patients was 45 ± 12 years; the majority were women and had brown skin. Patients with JA had a longer disease duration than patients without JA. Serositis and neuropsychiatric manifestations were more frequent in the JA population. The A allele of rs13277113 in the BLK gene was associated with the presence of JA. CONCLUSIONS The rs13277113 polymorphism in the BLK gene was found to be a possible genetic risk for JA development. However, further studies in larger populations should be performed to confirm this finding.
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20
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Chen L, Wang YF, Liu L, Bielowka A, Ahmed R, Zhang H, Tombleson P, Roberts AL, Odhams CA, Cunninghame Graham DS, Zhang X, Yang W, Vyse TJ, Morris DL. Genome-wide assessment of genetic risk for systemic lupus erythematosus and disease severity. Hum Mol Genet 2021; 29:1745-1756. [PMID: 32077931 PMCID: PMC7322569 DOI: 10.1093/hmg/ddaa030] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 01/30/2020] [Accepted: 02/17/2020] [Indexed: 12/12/2022] Open
Abstract
Using three European and two Chinese genome-wide association studies (GWAS), we investigated the performance of genetic risk scores (GRSs) for predicting the susceptibility and severity of systemic lupus erythematosus (SLE), using renal disease as a proxy for severity. We used four GWASs to test the performance of GRS both cross validating within the European population and between European and Chinese populations. The performance of GRS in SLE risk prediction was evaluated by receiver operating characteristic (ROC) curves. We then analyzed the polygenic nature of SLE statistically. We also partitioned patients according to their age-of-onset and evaluated the predictability of GRS in disease severity in each age group. We found consistently that the best GRS in the prediction of SLE used SNPs associated at the level of P < 1e−05 in all GWAS data sets and that SNPs with P-values above 0.2 were inflated for SLE true positive signals. The GRS results in an area under the ROC curve ranging between 0.64 and 0.72, within European and between the European and Chinese populations. We further showed a significant positive correlation between a GRS and renal disease in two independent European GWAS (Pcohort1 = 2.44e−08; Pcohort2 = 0.00205) and a significant negative correlation with age of SLE onset (Pcohort1 = 1.76e−12; Pcohort2 = 0.00384). We found that the GRS performed better in the prediction of renal disease in the ‘later onset’ compared with the ‘earlier onset’ group. The GRS predicts SLE in both European and Chinese populations and correlates with poorer prognostic factors: young age-of-onset and lupus nephritis.
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Affiliation(s)
- Lingyan Chen
- Department of Medical and Molecular Genetics, King's College London, London, UK.,MRC/BHF Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Yong-Fei Wang
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Lu Liu
- Department of Dermatology, NO. 1 Hospital, Anhui Medical University, Hefei, Anhui, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, Anhui, China.,Department of Dermatology, Huashan Hospital of Fudan University, Shanghai, China
| | - Adrianna Bielowka
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Rahell Ahmed
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Huoru Zhang
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Phil Tombleson
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Amy L Roberts
- Department of Medical and Molecular Genetics, King's College London, London, UK.,Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | | | | | - Xuejun Zhang
- Department of Dermatology, NO. 1 Hospital, Anhui Medical University, Hefei, Anhui, China.,Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, Anhui, China.,Department of Dermatology, Huashan Hospital of Fudan University, Shanghai, China
| | - Wanling Yang
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Timothy J Vyse
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - David L Morris
- Department of Medical and Molecular Genetics, King's College London, London, UK
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21
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Gallucci S, Meka S, Gamero AM. Abnormalities of the type I interferon signaling pathway in lupus autoimmunity. Cytokine 2021; 146:155633. [PMID: 34340046 DOI: 10.1016/j.cyto.2021.155633] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/11/2021] [Indexed: 12/16/2022]
Abstract
Type I interferons (IFNs), mostly IFNα and IFNβ, and the type I IFN Signature are important in the pathogenesis of Systemic Lupus Erythematosus (SLE), an autoimmune chronic condition linked to inflammation. Both IFNα and IFNβ trigger a signaling cascade that, through the activation of JAK1, TYK2, STAT1 and STAT2, initiates gene transcription of IFN stimulated genes (ISGs). Noteworthy, other STAT family members and IFN Responsive Factors (IRFs) can also contribute to the activation of the IFN response. Aberrant type I IFN signaling, therefore, can exacerbate SLE by deregulated homeostasis leading to unnecessary persistence of the biological effects of type I IFNs. The etiopathogenesis of SLE is partially known and considered multifactorial. Family-based and genome wide association studies (GWAS) have identified genetic and transcriptional abnormalities in key molecules directly involved in the type I IFN signaling pathway, namely TYK2, STAT1 and STAT4, and IRF5. Gain-of-function mutations that heighten IFNα/β production, which in turn maintains type I IFN signaling, are found in other pathologies like the interferonopathies. However, the distinctive characteristics have yet to be determined. Signaling molecules activated in response to type I IFNs are upregulated in immune cell subsets and affected tissues of SLE patients. Moreover, Type I IFNs induce chromatin remodeling leading to a state permissive to transcription, and SLE patients have increased global and gene-specific epigenetic modifications, such as hypomethylation of DNA and histone acetylation. Epigenome wide association studies (EWAS) highlight important differences between SLE patients and healthy controls in Interferon Stimulated Genes (ISGs). The combination of environmental and genetic factors may stimulate type I IFN signaling transiently and produce long-lasting detrimental effects through epigenetic alterations. Substantial evidence for the pathogenic role of type I IFNs in SLE advocates the clinical use of neutralizing anti-type I IFN receptor antibodies as a therapeutic strategy, with clinical studies already showing promising results. Current and future clinical trials will determine whether drugs targeting molecules of the type I IFN signaling pathway, like non-selective JAK inhibitors or specific TYK2 inhibitors, may benefit people living with lupus.
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Affiliation(s)
- Stefania Gallucci
- Laboratory of Dendritic Cell Biology, Department of Microbiology and Immunology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.
| | - Sowmya Meka
- Laboratory of Dendritic Cell Biology, Department of Microbiology and Immunology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Ana M Gamero
- Department of Medical Genetics and Molecular Biochemistry, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States; Fels Cancer Institute for Personalized Medicine, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
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22
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Zhang L, Qing P, Yang H, Wu Y, Liu Y, Luo Y. Gut Microbiome and Metabolites in Systemic Lupus Erythematosus: Link, Mechanisms and Intervention. Front Immunol 2021; 12:686501. [PMID: 34335588 PMCID: PMC8319742 DOI: 10.3389/fimmu.2021.686501] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 06/21/2021] [Indexed: 02/05/2023] Open
Abstract
Systemic lupus erythematosus (SLE), often considered the prototype of autoimmune diseases, is characterized by over-activation of the autoimmune system with abnormal functions of innate and adaptive immune cells and the production of a large number of autoantibodies against nuclear components. Given the highly complex and heterogeneous nature of SLE, the pathogenesis of this disease remains incompletely understood and is presumed to involve both genetic and environmental factors. Currently, disturbance of the gut microbiota has emerged as a novel player involved in the pathogenesis of SLE. With in-depth research, the understanding of the intestinal bacteria-host interaction in SLE is much more comprehensive. Recent years have also seen an increase in metabolomics studies in SLE with the attempt to identify potential biomarkers for diagnosis or disease activity monitoring. An intricate relationship between gut microbiome changes and metabolic alterations could help explain the mechanisms by which gut bacteria play roles in the pathogenesis of SLE. Here, we review the role of microbiota dysbiosis in the aetiology of SLE and how intestinal microbiota interact with the host metabolism axis. A proposed treatment strategy for SLE based on gut microbiome (GM) regulation is also discussed in this review. Increasing our understanding of gut microbiota and their function in lupus will provide us with novel opportunities to develop effective and precise diagnostic strategies and to explore potential microbiota-based treatments for patients with lupus.
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Affiliation(s)
- Lingshu Zhang
- Department of Rheumatology and Immunology, Rare Diseases Center, Institute of Immunology and Inflammation, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Pingying Qing
- Department of Rheumatology and Immunology, Rare Diseases Center, Institute of Immunology and Inflammation, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Hang Yang
- Department of Rheumatology and Immunology, Rare Diseases Center, Institute of Immunology and Inflammation, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yongkang Wu
- Department of Laboratory Medicine and Outpatient, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Liu
- Department of Rheumatology and Immunology, Rare Diseases Center, Institute of Immunology and Inflammation, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yubin Luo
- Department of Rheumatology and Immunology, Rare Diseases Center, Institute of Immunology and Inflammation, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
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23
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Asgarzade A, Ziyabakhsh A, Asghariazar V, Safarzadeh E. Myeloid-derived suppressor cells: Important communicators in systemic lupus erythematosus pathogenesis and its potential therapeutic significance. Hum Immunol 2021; 82:782-790. [PMID: 34272089 DOI: 10.1016/j.humimm.2021.06.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/01/2021] [Accepted: 06/22/2021] [Indexed: 01/26/2023]
Abstract
Systemic lupus erythematosus (SLE) is a recognized chronic condition associated with immune system disorders that affect women nine times more commonly than men. SLE is characterized by over-secretion and release of autoantibodies in response to different cellular compartments and self-tolerance breaks to its own antigens. The detailed immunological dysregulation as an associated event that elicits the onset of clinical manifestations of SLE has not been clarified yet. Though, research using several animal models in the last two decades has indicated the role of the immune system in the pathogenesis of this disease. Myeloid-derived suppressor cells (MDSCs) as heterogeneous myeloid cells, are responsible for severe pathological conditions, including infection, autoimmunity, and cancer, by exerting considerable immunosuppressive effects on T-cells responses. It has been reported that these cells are involved in the regulation process of the immune response in several autoimmune diseases, particularly SLE. The function of MDSC is deleterious in infection and cancer diseases, though their role is more complicated in autoimmune diseases. In this review, we summarized the role and function of MDSCs in the pathogenesis and progression of SLE and its possible therapeutic approach.
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Affiliation(s)
- Ali Asgarzade
- Students Research Committee, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Alireza Ziyabakhsh
- Students Research Committee, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Vahid Asghariazar
- Deputy of Research and Technology, Ardabil University of Medical Sciences, Ardabil, Iran; Immunology Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Elham Safarzadeh
- Department of Microbiology, and Immunology, Ardabil University of Medical Sciences, Ardabil, Iran.
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24
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Trindade VC, Carneiro-Sampaio M, Bonfa E, Silva CA. An Update on the Management of Childhood-Onset Systemic Lupus Erythematosus. Paediatr Drugs 2021; 23:331-347. [PMID: 34244988 PMCID: PMC8270778 DOI: 10.1007/s40272-021-00457-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/09/2021] [Indexed: 02/06/2023]
Abstract
Childhood-onset systemic lupus erythematosus (cSLE) is a prototype of a multisystemic, inflammatory, heterogeneous autoimmune condition. This disease is characterized by simultaneous or sequential organ and system involvement, with unpredictable flare and high levels of morbidity and mortality. Racial/ethnic background, socioeconomic status, cost of medications, difficulty accessing health care, and poor adherence seem to impact lupus outcomes and treatment response. In this article, the management of cSLE patients is updated. Regarding pathogenesis, a number of potential targets for drugs have been studied. However, most treatments in pediatric patients are off-label drugs with recommendations based on inadequately powered studies, therapeutic consensus guidelines, or case series. Management practices for cSLE patients include evaluations of disease activity and cumulative damage scores, routine non-live vaccinations, physical activity, and addressing mental health issues. Antimalarials and glucocorticoids are still the most common drugs used to treat cSLE, and hydroxychloroquine is recommended for nearly all cSLE patients. Disease-modifying antirheumatic drugs (DMARDs) should be standardized for each patient, based on disease flare and cSLE severity. Mycophenolate mofetil or intravenous cyclophosphamide is suggested as induction therapy for lupus nephritis classes III and IV. Calcineurin inhibitors (cyclosporine, tacrolimus, voclosporin) appear to be another good option for cSLE patients with lupus nephritis. Regarding B-cell-targeting biologic agents, rituximab may be used for refractory lupus nephritis patients in combination with another DMARD, and belimumab was recently approved by the US Food and Drug Administration for cSLE treatment in children aged > 5 years. New therapies targeting CD20, such as atacicept and telitacicept, seem to be promising drugs for SLE patients. Anti-interferon therapies (sifalimumab and anifrolumab) have shown beneficial results in phase II randomized control trials in adult SLE patients, as have some Janus kinase inhibitors, and these could be alternative treatments for pediatric patients with severe interferon-mediated inflammatory disease in the future. In addition, strict control of proteinuria and blood pressure is required in cSLE, especially with angiotensin-converting enzyme inhibitor and angiotensin receptor blocker use.
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Affiliation(s)
- Vitor Cavalcanti Trindade
- Children and Adolescent Institute, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Magda Carneiro-Sampaio
- Children and Adolescent Institute, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Eloisa Bonfa
- Rheumatology Division, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de São Paulo, Av. Dr. Enéas Carvalho de Aguiar, 647, Cerqueira César, São Paulo, SP, 05403-000, Brazil
| | - Clovis Artur Silva
- Children and Adolescent Institute, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de São Paulo, São Paulo, Brazil.
- Rheumatology Division, Faculdade de Medicina, Hospital das Clinicas HCFMUSP, Universidade de São Paulo, Av. Dr. Enéas Carvalho de Aguiar, 647, Cerqueira César, São Paulo, SP, 05403-000, Brazil.
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25
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Human Pluripotent Stem-Cell-Derived Models as a Missing Link in Drug Discovery and Development. Pharmaceuticals (Basel) 2021; 14:ph14060525. [PMID: 34070895 PMCID: PMC8230131 DOI: 10.3390/ph14060525] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 05/26/2021] [Accepted: 05/27/2021] [Indexed: 12/11/2022] Open
Abstract
Human pluripotent stem cells (hPSCs), including human embryonic stem cells (hESCs) and human-induced pluripotent stem cells (hiPSCs), have the potential to accelerate the drug discovery and development process. In this review, by analyzing each stage of the drug discovery and development process, we identified the active role of hPSC-derived in vitro models in phenotypic screening, target-based screening, target validation, toxicology evaluation, precision medicine, clinical trial in a dish, and post-clinical studies. Patient-derived or genome-edited PSCs can generate valid in vitro models for dissecting disease mechanisms, discovering novel drug targets, screening drug candidates, and preclinically and post-clinically evaluating drug safety and efficacy. With the advances in modern biotechnologies and developmental biology, hPSC-derived in vitro models will hopefully improve the cost-effectiveness and the success rate of drug discovery and development.
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26
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Yu H, Hong X, Wu H, Zheng F, Zeng Z, Dai W, Yin L, Liu D, Tang D, Dai Y. The Chromatin Accessibility Landscape of Peripheral Blood Mononuclear Cells in Patients With Systemic Lupus Erythematosus at Single-Cell Resolution. Front Immunol 2021; 12:641886. [PMID: 34084162 PMCID: PMC8168536 DOI: 10.3389/fimmu.2021.641886] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 04/14/2021] [Indexed: 12/12/2022] Open
Abstract
Objective Systemic lupus erythematosus (SLE) is a complex autoimmune disease, and various immune cells are involved in the initiation, progression, and regulation of SLE. Our goal was to reveal the chromatin accessibility landscape of peripheral blood mononuclear cells (PBMCs) in SLE patients at single-cell resolution and identify the transcription factors (TFs) that may drive abnormal immune responses. Methods The assay for transposase accessible chromatin in single-cell sequencing (scATAC-seq) method was applied to map the landscape of active regulatory DNA in immune cells from SLE patients at single-cell resolution, followed by clustering, peak annotation and motif analysis of PBMCs in SLE. Results Peripheral blood mononuclear cells were robustly clustered based on their types without using antibodies. We identified twenty patterns of TF activation that drive abnormal immune responses in SLE patients. Then, we observed ten genes that were highly associated with SLE pathogenesis by altering T cell activity. Finally, we found 12 key TFs regulating the above six genes (CD83, ELF4, ITPKB, RAB27A, RUNX3, and ZMIZ1) that may be related to SLE disease pathogenesis and were significantly enriched in SLE patients (p <0.05, FC >2). With qPCR experiments on CD83, ELF4, RUNX3, and ZMIZ1 in B cells, we observed a significant difference in the expression of genes (ELF4, RUNX3, and ZMIZ1), which were regulated by seven TFs (EWSR1-FLI1, MAF, MAFA, NFIB, NR2C2 (var. 2), TBX4, and TBX5). Meanwhile, the seven TFs showed highly accessible binding sites in SLE patients. Conclusions These results confirm the importance of using single-cell sequencing to uncover the real features of immune cells in SLE patients, reveal key TFs in SLE-PBMCs, and provide foundational insights relevant for epigenetic therapy.
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Affiliation(s)
- Haiyan Yu
- Department of Clinical Medical Research Center, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China.,The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Xiaoping Hong
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Hongwei Wu
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Fengping Zheng
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Zhipeng Zeng
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Weier Dai
- College of Natural Science, University of Texas at Austin, Austin, TX, United States
| | - Lianghong Yin
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Dongzhou Liu
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Donge Tang
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Yong Dai
- Department of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, China
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miR-183-5p Is a Potential Molecular Marker of Systemic Lupus Erythematosus. J Immunol Res 2021; 2021:5547635. [PMID: 34036107 PMCID: PMC8124875 DOI: 10.1155/2021/5547635] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/19/2021] [Accepted: 04/26/2021] [Indexed: 12/16/2022] Open
Abstract
Objective To investigate microRNA (miRNA) expression profiles in individuals with systemic lupus erythematosus (SLE) and identify the valuable miRNA biomarkers in diagnosing and monitoring SLE. Methods Next-generation sequencing (NGS) was performed to assess miRNA amounts in peripheral blood mononuclear cells (PBMCs) from four SLE cases and four healthy controls. Quantitative polymerase chain reaction (qPCR) was carried out for validating candidate miRNAs in 32 SLE cases and 32 healthy controls. In addition, receiver operating characteristic (ROC) curve analysis was completed to evaluate diagnostic performance. Finally, the associations of candidate miRNAs with various characteristics of SLE were analyzed. Results A total of 157 miRNAs were upregulated, and 110 miRNAs were downregulated in PBMCs from SLE cases in comparison to healthy controls, of which the increase of miR-183-5p and decrease of miR-374b-3p were validated by qPCR and both showed good diagnostic performance for SLE diagnosis. Besides, miR-183-5p expression levels displayed a positive association with SLE disease activity index (SLEDAI) and anti-dsDNA antibody amounts. Conclusion Our data indicated that miR-183-5p is a promising biomarker of SLE.
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28
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Proteome study of cutaneous lupus erythematosus (CLE) and dermatomyositis skin lesions reveals IL-16 is differentially upregulated in CLE. Arthritis Res Ther 2021; 23:132. [PMID: 33931094 PMCID: PMC8086067 DOI: 10.1186/s13075-021-02511-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 04/12/2021] [Indexed: 11/30/2022] Open
Abstract
Background The objective of the study was to explore the disease pathways activated in the inflammatory foci of skin lesions in cutaneous lupus erythematosus (CLE) and dermatomyositis (DM). Methods Skin biopsies acquired from active CLE and DM lesions, patient (PC), and also healthy controls (HC) were investigated. Biopsy sections were examined by a pathologist, inflammatory foci were laser micro-dissected and captured, and proteins within captured tissue were detected in an unbiased manner by mass spectrometry. Protein pathway analysis was performed by the string-db.org platform. Findings of interest were confirmed by immunohistochemistry (IHC). Results Proteome investigation identified abundant expression of interferon-regulated proteins (IRP) as a common feature of CLE and DM. Interleukin (IL)-16 was the only abundant cytokine differentially expressed in CLE compared to DM. Caspase-3, an enzyme that cleaves IL-16 into its active form, was detected in low levels. Significantly higher proportion of IL-16- and caspase-3-positive cells was identified in CLE lesions in comparison with DM, PC, and HC. Proteomic results indicate more abundant complement deposition in CLE skin lesions. Conclusions Using unbiased mass spectrometry investigation of CLE and DM inflammatory infiltrates, we confirmed that high IRP expression is a common feature of both CLE and DM, while IL-16 is the only differentially expressed cytokine in CLE. IHC confirmed high expression of IL-16 and caspase-3 in CLE. Our novel molecular findings indicate that IL-16 detection could be useful in differential diagnostics between the two conditions that can display similar histopathological appearance. IL-16 could be of interest as a future therapeutic target for CLE.
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Abstract
Loss-of-function mutations in DNaseL13, the enzyme that restricts the amount of microparticle-associated DNA, cause SLE in humans and mice. In this issue of JEM, Hartl et al. (2021. J. Exp. Med.https://doi.org/10.1084/jem.20201138) uncover a reduction in plasma DNASE1L3 enzymatic activity due to the presence of autoantibodies in patients with nonfamilial SLE.
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Affiliation(s)
- Zurong Wan
- Department of Pediatrics and Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY
| | - Virginia Pascual
- Department of Pediatrics and Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY
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Nakano M, Iwasaki Y, Fujio K. Transcriptomic studies of systemic lupus erythematosus. Inflamm Regen 2021; 41:11. [PMID: 33836832 PMCID: PMC8033719 DOI: 10.1186/s41232-021-00161-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 03/24/2021] [Indexed: 11/29/2022] Open
Abstract
The management of systemic lupus erythematosus (SLE) remains challenging for clinicians because of the clinical heterogeneity of this disease. In attempts to identify useful biomarkers for the diagnosis of and treatment strategies for SLE, previous microarray and RNA sequencing studies have demonstrated several disease-relevant signatures in SLE. Of these, the interferon (IFN) signature is complex, involving IFNβ- and IFNγ-response genes in addition to IFNα-response genes. Some studies revealed that myeloid lineage/neutrophil and plasma cell signatures as well as the IFN signature were correlated with disease activity, lupus nephritis, and complications of pregnancy, although some of these findings remain controversial. Cell-type-specific gene expression analysis revealed the importance of an exhaustion signature in CD8+ T cells for SLE outcome. Recent single-cell RNA sequencing analyses of SLE blood and tissues demonstrated molecular heterogeneity and identified several distinct subpopulations as key players in SLE pathogenesis. Further studies are required to identify novel treatment targets and determine precise patient stratification in SLE. In this review, we discuss the findings and limitations of SLE transcriptomic studies.
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Affiliation(s)
- Masahiro Nakano
- Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655 Japan
| | - Yukiko Iwasaki
- Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655 Japan
| | - Keishi Fujio
- Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655 Japan
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31
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Reid S, Hagberg N, Sandling JK, Alexsson A, Pucholt P, Sjöwall C, Lerang K, Jönsen A, Gunnarsson I, Syvänen AC, Troldborg AM, Voss A, Bengtsson AA, Molberg Ø, Jacobsen S, Svenungsson E, Rönnblom L, Leonard D. Interaction between the STAT4 rs11889341(T) risk allele and smoking confers increased risk of myocardial infarction and nephritis in patients with systemic lupus erythematosus. Ann Rheum Dis 2021; 80:1183-1189. [PMID: 33766895 PMCID: PMC8372395 DOI: 10.1136/annrheumdis-2020-219727] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 02/10/2021] [Accepted: 03/06/2021] [Indexed: 12/17/2022]
Abstract
Objective To investigate how genetics influence the risk of smoking-related systemic lupus erythematosus (SLE) manifestations. Methods Patients with SLE (ndiscovery cohort=776, nreplication cohort=836) were genotyped using the 200K Immunochip single nucleotide polymorphisms (SNP) Array (Illumina) and a custom array. Sixty SNPs with SLE association (p<5.0×10−8) were analysed. Signal transducer and activator of transcription 4 (STAT4) activation was assessed in in vitro stimulated peripheral blood mononuclear cells from healthy controls (n=45). Results In the discovery cohort, smoking was associated with myocardial infarction (MI) (OR 1.96 (95% CI 1.09 to 3.55)), with a greater effect in patients carrying any rs11889341 STAT4 risk allele (OR 2.72 (95% CI 1.24 to 6.00)) or two risk alleles (OR 8.27 (95% CI 1.48 to 46.27)). Smokers carrying the risk allele also displayed an increased risk of nephritis (OR 1.47 (95% CI 1.06 to 2.03)). In the replication cohort, the high risk of MI in smokers carrying the risk allele and the association between the STAT4 risk allele and nephritis in smokers were confirmed (OR 6.19 (95% CI 1.29 to 29.79) and 1.84 (95% CI 1.05 to 3.29), respectively). The interaction between smoking and the STAT4 risk allele resulted in further increase in the risk of MI (OR 2.14 (95% CI 1.01 to 4.62)) and nephritis (OR 1.53 (95% CI 1.08 to 2.17)), with 54% (MI) and 34% (nephritis) of the risk attributable to the interaction. Levels of interleukin-12-induced phosphorylation of STAT4 in CD8+ T cells were higher in smokers than in non-smokers (mean geometric fluorescence intensity 1063 vs 565, p=0.0063). Lastly, the IL12A rs564799 risk allele displayed association with MI in both cohorts (OR 1.53 (95% CI 1.01 to 2.31) and 2.15 (95% CI 1.08 to 4.26), respectively). Conclusions Smoking in the presence of the STAT4 risk gene variant appears to increase the risk of MI and nephritis in SLE. Our results also highlight the role of the IL12−STAT4 pathway in SLE-cardiovascular morbidity.
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Affiliation(s)
- Sarah Reid
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Niklas Hagberg
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Johanna K Sandling
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Andrei Alexsson
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Pascal Pucholt
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Christopher Sjöwall
- Department of Biomedical and Clinical Sciences, Division of Inflammation and Infection, Linköping University, Linkoping, Sweden
| | - Karoline Lerang
- Department of Rheumatology, Oslo University Hospital, Oslo, Norway
| | - Andreas Jönsen
- Department of Clinical Sciences Lund, Rheumatology, Lund University, Skane University Hospital, Lund, Sweden
| | - Iva Gunnarsson
- Division of Rheumatology, Department of Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Ann-Christine Syvänen
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Anne Margrethe Troldborg
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark.,Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Anne Voss
- Department of Rheumatology, Odense University Hospital, Odense, Denmark
| | - Anders A Bengtsson
- Department of Clinical Sciences Lund, Rheumatology, Lund University, Skane University Hospital, Lund, Sweden
| | - Øyvind Molberg
- Department of Rheumatology, Oslo University Hospital, Oslo, Norway
| | - Søren Jacobsen
- Center for Rheumatology and Spine Diseases, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Elisabet Svenungsson
- Division of Rheumatology, Department of Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Lars Rönnblom
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Dag Leonard
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
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Lu H, Zhang J, Jiang Z, Zhang M, Wang T, Zhao H, Zeng P. Detection of Genetic Overlap Between Rheumatoid Arthritis and Systemic Lupus Erythematosus Using GWAS Summary Statistics. Front Genet 2021; 12:656545. [PMID: 33815486 PMCID: PMC8012913 DOI: 10.3389/fgene.2021.656545] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 03/01/2021] [Indexed: 01/04/2023] Open
Abstract
Background Clinical and epidemiological studies have suggested systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) are comorbidities and common genetic etiologies can partly explain such coexistence. However, shared genetic determinations underlying the two diseases remain largely unknown. Methods Our analysis relied on summary statistics available from genome-wide association studies of SLE (N = 23,210) and RA (N = 58,284). We first evaluated the genetic correlation between RA and SLE through the linkage disequilibrium score regression (LDSC). Then, we performed a multiple-tissue eQTL (expression quantitative trait loci) weighted integrative analysis for each of the two diseases and aggregated association evidence across these tissues via the recently proposed harmonic mean P-value (HMP) combination strategy, which can produce a single well-calibrated P-value for correlated test statistics. Afterwards, we conducted the pleiotropy-informed association using conjunction conditional FDR (ccFDR) to identify potential pleiotropic genes associated with both RA and SLE. Results We found there existed a significant positive genetic correlation (rg = 0.404, P = 6.01E-10) via LDSC between RA and SLE. Based on the multiple-tissue eQTL weighted integrative analysis and the HMP combination across various tissues, we discovered 14 potential pleiotropic genes by ccFDR, among which four were likely newly novel genes (i.e., INPP5B, OR5K2, RP11-2C24.5, and CTD-3105H18.4). The SNP effect sizes of these pleiotropic genes were typically positively dependent, with an average correlation of 0.579. Functionally, these genes were implicated in multiple auto-immune relevant pathways such as inositol phosphate metabolic process, membrane and glucagon signaling pathway. Conclusion This study reveals common genetic components between RA and SLE and provides candidate associated loci for understanding of molecular mechanism underlying the comorbidity of the two diseases.
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Affiliation(s)
- Haojie Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Jinhui Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Zhou Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Meng Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Ting Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.,Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Huashuo Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.,Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Ping Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.,Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, China
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Zhu T, Huang Y, Qian D, Sheng Y, Zhang C, Chen S, Zhang H, Wang H, Zhang X, Liu J, Ding C, Liu L. Assessing the Function of the ZFP90 Variant rs1170426 in SLE and the Association Between SLE Drug Target and Susceptibility Genes. Front Immunol 2021; 12:611515. [PMID: 33796098 PMCID: PMC8008139 DOI: 10.3389/fimmu.2021.611515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 02/25/2021] [Indexed: 12/03/2022] Open
Abstract
A genome-wide association study (GWAS) has discovered that a polymorphism in the ZFP90 gene is associated with systemic lupus erythematosus (SLE). In this study, we explored the candidate function of a ZFP90 variant (rs1170426) in the context of SLE and detected the relationship between SLE susceptible genes and SLE drug target genes. First, we investigated the regulatory role of rs1170426 on ZFP90 expression by expression quantitative trait loci (eQTL) analysis in peripheral blood mononuclear cells (PBMCs), T, B, and monocytes cells and annotated the regulatory function of rs1170426 using bioinformatic databases. Second, we compared the case-control difference in ZFP90 expression levels. Third, we analyzed the association of genotype and ZFP90 expression levels with SLE clinical characters. Last, we showed the interaction of SLE susceptibility genes with SLE drug target genes. Subjects with the risk allele “C” of rs1170426 had lower expression levels of ZFP90 in PBMCs (P = 0.006) and CD8+ T cells (P = 0.003) from controls. SLE cases also had lower expression levels compared with controls (P = 2.78E-9). After correction for multiple testing, the ZFP90 expression levels were related to serositis (FDR p = 0.004), arthritis (FDR p = 0.020), hematological involvement (FDR p = 0.021), and increased C-reactive protein (CRP) (FDR p = 0.005) in cases. Furthermore, the SLE susceptible genes and the recognized SLE drug target genes were more likely to act upon each other compared with non-SLE genetic genes (OR = 2.701, P = 1.80E-5). These findings suggest that ZFP90 might play a role in the pathogenesis of SLE, and SLE genetics would contribute to therapeutic drug discovery.
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Affiliation(s)
- Tingting Zhu
- Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China.,Department of Rheumatology and Immunology, Arthritis Research Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yuandi Huang
- Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Danfeng Qian
- Department of Dermatology, Lu'an People's Hospital, Lu'an, China
| | - Yuming Sheng
- Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Chaowen Zhang
- Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Shirui Chen
- Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Hui Zhang
- Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Hui Wang
- Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Xuejun Zhang
- Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Junlin Liu
- Department of Dermatology, The Second Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Changhai Ding
- Department of Rheumatology and Immunology, Arthritis Research Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Zhujiang, China.,Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Lu Liu
- Department of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China.,Department of Medical and Molecular Genetics, King's College London, London, United Kingdom
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Wang YF, Zhang Y, Lin Z, Zhang H, Wang TY, Cao Y, Morris DL, Sheng Y, Yin X, Zhong SL, Gu X, Lei Y, He J, Wu Q, Shen JJ, Yang J, Lam TH, Lin JH, Mai ZM, Guo M, Tang Y, Chen Y, Song Q, Ban B, Mok CC, Cui Y, Lu L, Shen N, Sham PC, Lau CS, Smith DK, Vyse TJ, Zhang X, Lau YL, Yang W. Identification of 38 novel loci for systemic lupus erythematosus and genetic heterogeneity between ancestral groups. Nat Commun 2021; 12:772. [PMID: 33536424 PMCID: PMC7858632 DOI: 10.1038/s41467-021-21049-y] [Citation(s) in RCA: 119] [Impact Index Per Article: 39.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 01/11/2021] [Indexed: 02/07/2023] Open
Abstract
Systemic lupus erythematosus (SLE), a worldwide autoimmune disease with high heritability, shows differences in prevalence, severity and age of onset among different ancestral groups. Previous genetic studies have focused more on European populations, which appear to be the least affected. Consequently, the genetic variations that underlie the commonalities, differences and treatment options in SLE among ancestral groups have not been well elucidated. To address this, we undertake a genome-wide association study, increasing the sample size of Chinese populations to the level of existing European studies. Thirty-eight novel SLE-associated loci and incomplete sharing of genetic architecture are identified. In addition to the human leukocyte antigen (HLA) region, nine disease loci show clear ancestral differences and implicate antibody production as a potential mechanism for differences in disease manifestation. Polygenic risk scores perform significantly better when trained on ancestry-matched data sets. These analyses help to reveal the genetic basis for disparities in SLE among ancestral groups.
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Affiliation(s)
- Yong-Fei Wang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Yan Zhang
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Zhiming Lin
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Huoru Zhang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Ting-You Wang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
- The Hormel Institute, University of Minnesota, Austin, USA
| | - Yujie Cao
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - David L Morris
- Division of Genetics and Molecular Medicine, King's College London, London, UK
| | - Yujun Sheng
- Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, China
| | - Xianyong Yin
- Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, China
| | - Shi-Long Zhong
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Xiaoqiong Gu
- Department of Clinical Biological Resource Bank, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Yao Lei
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Jing He
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Qi Wu
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jiangshan Jane Shen
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Jing Yang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Tai-Hing Lam
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Jia-Huang Lin
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Zhi-Ming Mai
- School of Public Health, The University of Hong Kong, Hong Kong, China
- Radiation Epidemiology Branch, Division of Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
| | - Mengbiao Guo
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Yuanjia Tang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanhui Chen
- Department of Pediatrics, Union Hospital Affiliated to Fujian Medical University, Fuzhou, China
| | - Qin Song
- Department of Rheumatology, Affiliated Hospital of Jining Medical University, Jining, China
| | - Bo Ban
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, China
| | - Chi Chiu Mok
- Department of Medicine, Tuen Mun Hospital, Hong Kong, China
| | - Yong Cui
- Department of Dermatology, China-Japan Friendship Hospital, Chaoyang, China
| | - Liangjing Lu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pak C Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Chak Sing Lau
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - David K Smith
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Timothy J Vyse
- Division of Genetics and Molecular Medicine, King's College London, London, UK
| | - Xuejun Zhang
- Department of Dermatology, No.1 Hospital, Anhui Medical University, Hefei, China
| | - Yu Lung Lau
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
| | - Wanling Yang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
- Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, China.
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Munroe ME, Anderson JR, Gross TF, Stunz LL, Bishop GA, James JA. Epstein-Barr Functional Mimicry: Pathogenicity of Oncogenic Latent Membrane Protein-1 in Systemic Lupus Erythematosus and Autoimmunity. Front Immunol 2021; 11:606936. [PMID: 33613527 PMCID: PMC7886997 DOI: 10.3389/fimmu.2020.606936] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 12/21/2020] [Indexed: 11/16/2022] Open
Abstract
Systemic lupus erythematosus (SLE) and other autoimmune diseases are propelled by immune dysregulation and pathogenic, disease-specific autoantibodies. Autoimmunity against the lupus autoantigen Sm is associated with cross-reactivity to Epstein-Barr virus (EBV) nuclear antigen 1 (EBNA-1). Additionally, EBV latent membrane protein-1 (LMP1), initially noted for its oncogenic activity, is an aberrantly active functional mimic of the B cell co-stimulatory molecule CD40. Mice expressing a transgene (Tg) for the mCD40-LMP1 hybrid molecule (containing the cytoplasmic tail of LMP1) have mild autoantibody production and other features of immune dysregulation by 2-3 months of age, but no overt autoimmune disease. This study evaluates whether exposure to the EBV molecular mimic, EBNA-1, stimulates antigen-specific and concurrently-reactive humoral and cellular immunity, as well as lupus-like features. After immunization with EBNA-1, mCD40-LMP1 Tg mice exhibited enhanced, antigen-specific, cellular and humoral responses compared to immunized WT congenic mice. EBNA-1 specific proliferative and inflammatory cytokine responses, including IL-17 and IFN-γ, were significantly increased (p<0.0001) in mCD40-LMP1 Tg mice, as well as antibody responses to amino- and carboxy-domains of EBNA-1. Of particular interest was the ability of mCD40-LMP1 to drive EBNA-1 associated molecular mimicry with the lupus-associated autoantigen, Sm. EBNA-1 immunized mCD40-LMP1 Tg mice exhibited enhanced proliferative and cytokine cellular responses (p<0.0001) to the EBNA-1 homologous epitope PPPGRRP and the Sm B/B' cross-reactive sequence PPPGMRPP. When immunized with the SLE autoantigen Sm, mCD40-LMP1 Tg mice again exhibited enhanced cellular and humoral immune responses to both Sm and EBNA-1. Cellular immune dysregulation with EBNA-1 immunization in mCD40-LMP1 Tg mice was accompanied by enhanced splenomegaly, increased serum blood urea nitrogen (BUN) and creatinine levels, and elevated anti-dsDNA and antinuclear antibody (ANA) levels (p<0.0001 compared to mCD40 WT mice). However, no evidence of immune-complex glomerulonephritis pathology was noted, suggesting that a combination of EBV and genetic factors may be required to drive lupus-associated renal disease. These data support that the expression of LMP1 in the context of EBNA-1 may interact to increase immune dysregulation that leads to pathogenic, autoantigen-specific lupus inflammation.
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Affiliation(s)
- Melissa E. Munroe
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
| | - Jourdan R. Anderson
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
| | - Timothy F. Gross
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
| | - Laura L. Stunz
- Department of Microbiology & Immunology, The University of Iowa, Iowa City, IA, United States
| | - Gail A. Bishop
- Department of Microbiology & Immunology, The University of Iowa, Iowa City, IA, United States
- Department of Internal Medicine, The University of Iowa, Iowa City, IA, United States
- Holden Comprehensive Cancer Center, The University of Iowa, Iowa City, IA, United States
- Iowa City VA Medical Center, Iowa City, IA, United States
| | - Judith A. James
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
- Department of Medicine and Pathology, Oklahoma University Health Sciences Center, Oklahoma City, OK, United States
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Hou G, Harley ITW, Lu X, Zhou T, Xu N, Yao C, Qin Y, Ouyang Y, Ma J, Zhu X, Yu X, Xu H, Dai D, Ding H, Yin Z, Ye Z, Deng J, Zhou M, Tang Y, Namjou B, Guo Y, Weirauch MT, Kottyan LC, Harley JB, Shen N. SLE non-coding genetic risk variant determines the epigenetic dysfunction of an immune cell specific enhancer that controls disease-critical microRNA expression. Nat Commun 2021; 12:135. [PMID: 33420081 PMCID: PMC7794586 DOI: 10.1038/s41467-020-20460-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 12/03/2020] [Indexed: 12/12/2022] Open
Abstract
Since most variants that impact polygenic disease phenotypes localize to non-coding genomic regions, understanding the consequences of regulatory element variants will advance understanding of human disease mechanisms. Here, we report that the systemic lupus erythematosus (SLE) risk variant rs2431697 as likely causal for SLE through disruption of a regulatory element, modulating miR-146a expression. Using epigenomic analysis, genome-editing and 3D chromatin structure analysis, we show that rs2431697 tags a cell-type dependent distal enhancer specific for miR-146a that physically interacts with the miR-146a promoter. NF-kB binds the disease protective allele in a sequence-specific manner, increasing expression of this immunoregulatory microRNA. Finally, CRISPR activation-based modulation of this enhancer in the PBMCs of SLE patients attenuates type I interferon pathway activation by increasing miR-146a expression. Our work provides a strategy to define non-coding RNA functional regulatory elements using disease-associated variants and provides mechanistic links between autoimmune disease risk genetic variation and disease etiology.
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Affiliation(s)
- Guojun Hou
- 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
- Shanghai Institute of Rheumatology, China-Australia Centre for Personalized Immunology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, 518040, China
| | - Isaac T W Harley
- Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
- Division of Rheumatology, School of Medicine, University of Colorado, Aurora, Colorado, 80045, USA
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, Colorado, 80045, USA
| | - Xiaoming Lu
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
| | - Tian Zhou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Ning Xu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Chao Yao
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences(SIBS), University of Chinese Academy of Sciences, Chinese Academy of Sciences (CAS), Shanghai, 200031, China
| | - Yuting Qin
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Ye Ouyang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Jianyang Ma
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Xinyi Zhu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Xiang Yu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Hong Xu
- Department of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200127, China
- Shanghai Key Laboratory of Gynecologic Oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200127, China
| | - Dai Dai
- 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
| | - Zhihua Yin
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, 518040, China
| | - Zhizhong Ye
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, 518040, China
| | - Jun Deng
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Mi Zhou
- Sheng Yushou Center of Cell Biology and Immunology, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University (SJTU), Shanghai, 200240, China
| | - Yuanjia Tang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Bahram Namjou
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
| | - Ya Guo
- Sheng Yushou Center of Cell Biology and Immunology, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University (SJTU), Shanghai, 200240, China
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, 45229, USA
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
| | - Leah C Kottyan
- Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, 45229, USA
- Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
| | - John B Harley
- Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, 45229, USA
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA
- US Department of Veterans Affairs Medical Center, Cincinnati, Ohio, 45229, USA
| | - 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.
- Shanghai Institute of Rheumatology, China-Australia Centre for Personalized Immunology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China.
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, 518040, China.
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, 45229, USA.
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Alimohammadi N, Koosha F, Rafeian-Kopaei M. Current, New and Future Therapeutic Targets in Inflammatory Bowel Disease: A Systematic Review. Curr Pharm Des 2020; 26:2668-2675. [PMID: 32250220 DOI: 10.2174/1381612826666200406081920] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 03/10/2020] [Indexed: 12/17/2022]
Abstract
Inflammatory bowel disease (IBD), including Crohn's disease (CD) and ulcerative colitis (UC), are chronic relapsing conditions resulting from immune system activity in a genetically predisposed individual. IBD is based on progressive damage to the inflamed gut tissue. As its pathogenesis remains unknown, recent accumulating data have demonstrated that IBD is a complex and multi-factorial disorder correlated with host luminal factors, which lead to an imbalance between pro- and anti-inflammatory signaling. The growing understanding of the molecular mechanisms responsible for IBD has suggested a wide range of potential therapeutic targets to treat this condition. Some patients do not have a satisfactory response to current therapeutic medications such as antitumor necrosis factor (TNF) agents, or their response decreases over time. As a result, IBD therapeutics have been changed recently, with several new agents being evaluated. The identification of various inflammatory cascades has led to forming the idea to have novel medications developed. Medications targeting Janus kinases (JAK), leukocyte trafficking Interleukin (IL) 12/23, and Sphingosine 1 phosphate (S1P) are among these newly developed medications and highlight the role of microbial-host interaction in inflammation as a safe promising strategy. This systematic review aims to summarize different molecular targeting therapeutics, the most potent candidates for IBD treatment in recent studies.
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Affiliation(s)
- Niloufar Alimohammadi
- Department of Medicine, New York University School of Medicine, New York, New York, United States
| | - Farzad Koosha
- Department of Oral Biology and Pathology, School of Dental Medicine, State University of New York at Stony Brook, New York, United States
| | - Mahmoud Rafeian-Kopaei
- Medical Plants Research Center, Basic Health Sciences Institute, Shahre-kord University of Medical Sciences, Shahre-kord, Iran
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38
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Luo J, Meng Y, Zhai J, Zhu Y, Li Y, Wu Y. Screening of SLE-susceptible SNPs in One Chinese Family with Systemic Lupus Erythematosus. Curr Bioinform 2020. [DOI: 10.2174/1574893615666200120105153] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Background:
Systemic lupus erythematosus (SLE) is a complex autoimmune disease,
which mainly affects childbearing-aged women. Although its pathogenesis is not fully clear yet,
studies have shown that genetic factors are vital in exploring SLE pathogenic mechanisms.
Objective:
The purpose of this study is to predict and screen potential pathogenic single nucleotide
polymorphisms (SNPs). By comparing the genomes of members of a family with SLE and
performing functional analysis on mutation loci, possible pathogenic polymorphisms are screened.
These analyses lay the foundation for further research mechanisms.
Method:
Genomic alignment, variant calling and functional annotation were performed and then
~92,778 original SNPs were obtained for each specimen. We found that the patient/healthyspecific
SNPs show different conservative score distribution. Many patient-specific SNPs were
detected in SLE-related pathways. We therefore investigated the patient-specific SNPs from four
diverse perspectives, including nonsynonymous variations in exon regions, expression quantitative
trait loci (eQTLs), RNA binding sites and RNA-binding protein (RBP) binding sites.
Results:
18 potential pathogenic SNPs were identified in SLE risk genes, which were associated
with functional loci. Systematic literature study was then performed to verify these potential
pathogenic SNPs.
Conclusion:
This study could help to better explain possible genetic mechanisms of SLE from the
perspective of variation. It could provide effective strategy for the accurate diagnosis and
personalized treatment of SLE patients.
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Affiliation(s)
- Juan Luo
- College of Chemistry, Sichuan University, Chengdu, China
| | - Yanming Meng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Jianzhao Zhai
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Ying Zhu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yizhou Li
- College of Chemistry, Sichuan University, Chengdu, China
| | - Yongkang Wu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
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39
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Vyse TJ, Cunninghame Graham DS. Trans-Ancestral Fine-Mapping and Epigenetic Annotation as Tools to Delineate Functionally Relevant Risk Alleles at IKZF1 and IKZF3 in Systemic Lupus Erythematosus. Int J Mol Sci 2020; 21:ijms21218383. [PMID: 33182226 PMCID: PMC7664943 DOI: 10.3390/ijms21218383] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 10/09/2020] [Accepted: 10/13/2020] [Indexed: 12/19/2022] Open
Abstract
Background: Prioritizing tag-SNPs carried on extended risk haplotypes at susceptibility loci for common disease is a challenge. Methods: We utilized trans-ancestral exclusion mapping to reduce risk haplotypes at IKZF1 and IKZF3 identified in multiple ancestries from SLE GWAS and ImmunoChip datasets. We characterized functional annotation data across each risk haplotype from publicly available datasets including ENCODE, RoadMap Consortium, PC Hi-C data from 3D genome browser, NESDR NTR conditional eQTL database, GeneCards Genehancers and TF (transcription factor) binding sites from Haploregv4. Results: We refined the 60 kb associated haplotype upstream of IKZF1 to just 12 tag-SNPs tagging a 47.7 kb core risk haplotype. There was preferential enrichment of DNAse I hypersensitivity and H3K27ac modification across the 3′ end of the risk haplotype, with four tag-SNPs sharing allele-specific TF binding sites with promoter variants, which are eQTLs for IKZF1 in whole blood. At IKZF3, we refined a core risk haplotype of 101 kb (27 tag-SNPs) from an initial extended haplotype of 194 kb (282 tag-SNPs), which had widespread DNAse I hypersensitivity, H3K27ac modification and multiple allele-specific TF binding sites. Dimerization of Fox family TFs bound at the 3′ and promoter of IKZF3 may stabilize chromatin looping across the locus. Conclusions: We combined trans-ancestral exclusion mapping and epigenetic annotation to identify variants at both IKZF1 and IKZF3 with the highest likelihood of biological relevance. The approach will be of strong interest to other complex trait geneticists seeking to attribute biological relevance to risk alleles on extended risk haplotypes in their disease of interest.
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Sandling JK, Pucholt P, Hultin Rosenberg L, Farias FHG, Kozyrev SV, Eloranta ML, Alexsson A, Bianchi M, Padyukov L, Bengtsson C, Jonsson R, Omdal R, Lie BA, Massarenti L, Steffensen R, Jakobsen MA, Lillevang ST, Lerang K, Molberg Ø, Voss A, Troldborg A, Jacobsen S, Syvänen AC, Jönsen A, Gunnarsson I, Svenungsson E, Rantapää-Dahlqvist S, Bengtsson AA, Sjöwall C, Leonard D, Lindblad-Toh K, Rönnblom L. Molecular pathways in patients with systemic lupus erythematosus revealed by gene-centred DNA sequencing. Ann Rheum Dis 2020; 80:109-117. [PMID: 33037003 PMCID: PMC7788061 DOI: 10.1136/annrheumdis-2020-218636] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 09/15/2020] [Accepted: 09/16/2020] [Indexed: 01/02/2023]
Abstract
Objectives Systemic lupus erythematosus (SLE) is an autoimmune disease with extensive heterogeneity in disease presentation between patients, which is likely due to an underlying molecular diversity. Here, we aimed at elucidating the genetic aetiology of SLE from the immunity pathway level to the single variant level, and stratify patients with SLE into distinguishable molecular subgroups, which could inform treatment choices in SLE. Methods We undertook a pathway-centred approach, using sequencing of immunological pathway genes. Altogether 1832 candidate genes were analysed in 958 Swedish patients with SLE and 1026 healthy individuals. Aggregate and single variant association testing was performed, and we generated pathway polygenic risk scores (PRS). Results We identified two main independent pathways involved in SLE susceptibility: T lymphocyte differentiation and innate immunity, characterised by HLA and interferon, respectively. Pathway PRS defined pathways in individual patients, who on average were positive for seven pathways. We found that SLE organ damage was more pronounced in patients positive for the T or B cell receptor signalling pathways. Further, pathway PRS-based clustering allowed stratification of patients into four groups with different risk score profiles. Studying sets of genes with priors for involvement in SLE, we observed an aggregate common variant contribution to SLE at genes previously reported for monogenic SLE as well as at interferonopathy genes. Conclusions Our results show that pathway risk scores have the potential to stratify patients with SLE beyond clinical manifestations into molecular subsets, which may have implications for clinical follow-up and therapy selection.
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Affiliation(s)
- Johanna K Sandling
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Pascal Pucholt
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Lina Hultin Rosenberg
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Fabiana H G Farias
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.,Department of Psychiatry, Washington University, St. Louis, Missouri, USA
| | - Sergey V Kozyrev
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Maija-Leena Eloranta
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Andrei Alexsson
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Matteo Bianchi
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Leonid Padyukov
- Division of Rheumatology, Department of Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Christine Bengtsson
- Department of Public Health and Clinical Medicine/Rheumatology, Umeå University, Umeå, Sweden
| | - Roland Jonsson
- Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Roald Omdal
- Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway.,Clinical Immunology unit, Department of Internal Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Benedicte A Lie
- Department of Medical Genetics, University of Oslo, Oslo, Norway
| | - Laura Massarenti
- Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Rudi Steffensen
- Department of Clinical Immunology, Aalborg University, Aalborg, Denmark
| | - Marianne A Jakobsen
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - Søren T Lillevang
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | | | - Karoline Lerang
- Department of Rheumatology, Oslo University Hospital, Oslo, Norway
| | - Øyvind Molberg
- Department of Rheumatology, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anne Voss
- Department of Rheumatology, Odense University Hospital, Odense, Denmark
| | - Anne Troldborg
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark.,Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Søren Jacobsen
- Center for Rheumatology and Spine Diseases, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ann-Christine Syvänen
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Andreas Jönsen
- Department of Clinical Sciences Lund, Rheumatology, Lund University, Skane University Hospital, Lund, Sweden
| | - Iva Gunnarsson
- Division of Rheumatology, Department of Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Elisabet Svenungsson
- Division of Rheumatology, Department of Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | | | - Anders A Bengtsson
- Department of Clinical Sciences Lund, Rheumatology, Lund University, Skane University Hospital, Lund, Sweden
| | - Christopher Sjöwall
- Department of Biomedical and Clinical Sciences, Division of Inflammation and Infection, Linköping University, Linköping, Sweden
| | - Dag Leonard
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Kerstin Lindblad-Toh
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Lars Rönnblom
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
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41
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Hagberg N, Lundtoft C, Rönnblom L. Immunogenetics in systemic lupus erythematosus: Transitioning from genetic associations to cellular effects. Scand J Immunol 2020; 92:e12894. [DOI: 10.1111/sji.12894] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 05/07/2020] [Accepted: 05/13/2020] [Indexed: 12/16/2022]
Affiliation(s)
- Niklas Hagberg
- Rheumatology and Science for Life Laboratories Department of Medical Sciences Uppsala University Uppsala Sweden
| | - Christian Lundtoft
- Rheumatology and Science for Life Laboratories Department of Medical Sciences Uppsala University Uppsala Sweden
| | - Lars Rönnblom
- Rheumatology and Science for Life Laboratories Department of Medical Sciences Uppsala University Uppsala Sweden
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42
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Clinical characteristics of systemic lupus erythematosus patients in long-term remission without treatment. Clin Rheumatol 2020; 39:3365-3371. [PMID: 32870418 DOI: 10.1007/s10067-020-05379-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/25/2020] [Accepted: 08/27/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To describe the clinical and serological characteristics of patients with SLE who reached a state of sustained remission for more than 10 years in the absence of treatment. METHODS From a retrospective cohort of 2121 patients, 44 cases with sustained remission (PtRem) were identified and compared with 88 patients whose course has been chronically active (PtAct).The clinical and serological characteristics were analyzed, as well as the treatment of each group at the beginning of the disease and during its evolution. RESULTS Older age at disease onset was associated with a tendency to reach a state of prolonged remission. These patients also had a higher frequency of thrombocytopenia at the beginning of the disease 34.1% vs 10.2% (p < 0.001). PtAct had a significantly higher initial SLEDAI compared with cases (10.4 ± 5.6 vs 14.1 ± 5.8; p < 0.001). PtRem had a higher initial frequency of anti-β2 GP1 IgG antibodies. Also, 25% of these patients were serologically active. We did not find differences in the initial treatment between both groups. The accumulated damage measured by SLICC/ACR damage index at the end of the study was significantly less in the patients who remained in prolonged remission. CONCLUSIONS Although patients with SLE who achieve prolonged remission have some different characteristics at baseline compared with PtAct, it is not possible to identify a characteristic phenotype for the former. Achieving a state of prolonged remission should always be the goal in patients with SLE. Key Points • SLE patients can reach a very prolonged state of remission, free of treatment, including antimalarials, for at least 10 years. • Venous thromboembolism and thrombocytopenia are commonly present in patients that achieved remission. • The presence of serological markers of activity, even after 10 years in remission, is a risk factor for relapse.
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43
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Wang GH, Zuo T, Zuo ZC. Impact of IL-10 gene polymorphisms and its interaction with environment on susceptibility to systemic lupus erythematosus. Int J Immunopathol Pharmacol 2020; 34:2058738420945916. [PMID: 32842808 PMCID: PMC7453486 DOI: 10.1177/2058738420945916] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
This study aims to explore the impact of interleukin (IL)-10 single nucleotide polymorphisms (SNPs) and its interaction with environment on the risk of systemic lupus erythematosus (SLE). Chi-square testing method was used to investigate whether the distributions for genotype of four SNPs were differed from Hardy-Weinberg equilibrium (HWE). Logistic regression was used to test the association between IL-10 SNPs and SLE risk. The best interaction combinations between IL-10 SNPs and environmental factors were assessed by generalized multifactor dimensionality reduction (GMDR). Both rs1800896-G and rs1800871-T alleles were associated with increased risk of SLE, the odds ratios (ORs) (95% confidence interval (CI)) for the two SNPs were 1.68 (1.25-2.09) and 1.47 (1.12-1.94), respectively. Then, we used the GMDR method to analyze the high-order interactions of four SNPs within IL-10 gene and environmental factors on SLE risk. We found a significant interaction combination (two-locus model with P = 0.001) between rs1800896 and smoking, after adjusting for gender, age, body mass index (BMI), and alcohol drinking. We also used two-variable stratified analysis by logistic regression to analyze the synergistic effect between two variables (rs1800896 and smoking), which had significant significance in GMDR model. We found that current smokers with rs1800896-AG or GG genotype have the highest SLE risk, compared with never smokers with the rs1800896-AA genotype, OR (95% CI) = 2.24 (1.52-3.58). The rs1800896-G and rs1800871-T alleles and interaction between rs1800896 and current smoking were all associated with increased risk of SLE.
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Affiliation(s)
- Gui-Hong Wang
- Department of Rheumatology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China
| | - Ting Zuo
- Department of Rheumatology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China
| | - Zheng-Cai Zuo
- Department of Rheumatology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China
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Tocut M, Shoenfeld Y, Zandman-Goddard G. Systemic lupus erythematosus: an expert insight into emerging therapy agents in preclinical and early clinical development. Expert Opin Investig Drugs 2020; 29:1151-1162. [PMID: 32755494 DOI: 10.1080/13543784.2020.1807004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Systemic lupus erythematosus (SLE) is a chronic disease that is potentially fatal. There is no cure for SLE and the medications used are associated with toxic side effects. In the era of revolutionary emerging novel biologic agents, the design and investigation of targeted therapy for these patients is necessary. Novel therapies under investigation in phase II-III clinical trials showed promising results. Therapies can target various pathways involved in SLE including cytokines, signal transduction inhibitors, B-cell depletion and interference with co-stimulation. Of interest is the proof of concept of sequential therapy. AREAS COVERED We performed an extensive literature search via PubMed, Medline, Elsevier Science and Springer Link databases between the years 2014-2020 using the following terms: SLE, novel treatments. We have reviewed 232 articles and selected those articles that (i) focus on phase II-III emerging therapies and (ii) offer new findings from existing therapies, which reveal breakthrough concepts in SLE treatment. EXPERT OPINION It is still difficult to crack the puzzle of a successful SLE treatment approach. New strategies with potential may encompass the targeting of more than one protein. Another way forward is to identify each SLE patient and personalize therapy by clinical manifestations, disease activity, serology and activated protein.
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Affiliation(s)
- Milena Tocut
- Department of Internal Medicine C, Wolfson Medical Center , Holon, Israel.,Sackler Faculty of Medicine, Tel-Aviv University , Tel Aviv, Israel
| | - Yehuda Shoenfeld
- Sackler Faculty of Medicine, Tel-Aviv University , Tel Aviv, Israel.,Center for Autoimmune Diseases, Sheba Medical Center , Ramat Gan, Israel.,I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)
| | - Gisele Zandman-Goddard
- Department of Internal Medicine C, Wolfson Medical Center , Holon, Israel.,Sackler Faculty of Medicine, Tel-Aviv University , Tel Aviv, Israel
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Tangtanatakul P, Thumarat C, Satproedprai N, Kunhapan P, Chaiyasung T, Klinchanhom S, Wang YF, Wei W, Wongshinsri J, Chiewchengchol D, Rodsaward P, Ngamjanyaporn P, Suangtamai T, Mahasirimongkol S, Pisitkun P, Hirankarn N. Meta-analysis of genome-wide association study identifies FBN2 as a novel locus associated with systemic lupus erythematosus in Thai population. Arthritis Res Ther 2020; 22:185. [PMID: 32771030 PMCID: PMC7414652 DOI: 10.1186/s13075-020-02276-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/26/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Differences in the expression of variants across ethnic groups in the systemic lupus erythematosus (SLE) patients have been well documented. However, the genetic architecture in the Thai population has not been thoroughly examined. In this study, we carried out genome-wide association study (GWAS) in the Thai population. METHODS Two GWAS cohorts were independently collected and genotyped: discovery dataset (487 SLE cases and 1606 healthy controls) and replication dataset (405 SLE cases and 1590 unrelated disease controls). Data were imputed to the density of the 1000 Genomes Project Phase 3. Association studies were performed based on different genetic models, and pathway enrichment analysis was further examined. In addition, the performance of disease risk estimation for individuals in Thai GWAS was assessed based on the polygenic risk score (PRS) model trained by other Asian populations. RESULTS Previous findings on SLE susceptible alleles were well replicated in the two GWAS. The SNPs on HLA class II (rs9270970, A>G, OR = 1.82, p value = 3.61E-26), STAT4 (rs7582694, C>G, OR = 1.57, p value = 8.21E-16), GTF2I (rs73366469, A>G, OR = 1.73, p value = 2.42E-11), and FAM167A-BLK allele (rs13277113, A>G, OR = 0.68, p value = 1.58E-09) were significantly associated with SLE in Thai population. Meta-analysis of the two GWAS identified a novel locus at the FBN2 that was specifically associated with SLE in the Thai population (rs74989671, A>G, OR = 1.54, p value = 1.61E-08). Functional analysis showed that rs74989671 resided in a peak of H3K36me3 derived from CD14+ monocytes and H3K4me1 from T lymphocytes. In addition, we showed that the PRS model trained from the Chinese population could be applied in individuals of Thai ancestry, with the area under the receiver-operator curve (AUC) achieving 0.76 for this predictor. CONCLUSIONS We demonstrated the genetic architecture of SLE in the Thai population and identified a novel locus associated with SLE. Also, our study suggested a potential use of the PRS model from the Chinese population to estimate the disease risk for individuals of Thai ancestry.
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Affiliation(s)
- Pattarin Tangtanatakul
- Department of Transfusion Sciences and Clinical Microbiology, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Chisanu Thumarat
- Section of Translational Medicine, Faculty of Medicine, Mahidol University, Ramathibodi Hospital, Bangkok, Thailand
| | - Nusara Satproedprai
- Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand
| | - Punna Kunhapan
- Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand
| | | | - Siriwan Klinchanhom
- Centre of Excellent in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, 1873 Ratchadamri Road, Pathum wan, Bangkok, 10330, Thailand
| | - Yong-Fei Wang
- Department of Paediatrics and Adolescent Medicine, Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Sandy Bay, Hong Kong
- Shenzhen Futian Hospital for Rheumatic Disease, Shenzhen, People's Republic of China
| | - Wei Wei
- Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, China
- Collaborative Innovation Centre for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, China
| | | | - Direkrit Chiewchengchol
- Centre of Excellent in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, 1873 Ratchadamri Road, Pathum wan, Bangkok, 10330, Thailand
| | - Pongsawat Rodsaward
- Centre of Excellent in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, 1873 Ratchadamri Road, Pathum wan, Bangkok, 10330, Thailand
| | - Pintip Ngamjanyaporn
- Division of Allergy, Immunology, and Rheumatology, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Thanitta Suangtamai
- Division of Allergy, Immunology, and Rheumatology, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | | | - Prapaporn Pisitkun
- Section of Translational Medicine, Faculty of Medicine, Mahidol University, Ramathibodi Hospital, Bangkok, Thailand
| | - Nattiya Hirankarn
- Centre of Excellent in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, 1873 Ratchadamri Road, Pathum wan, Bangkok, 10330, Thailand.
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Hemminki K, Huang W, Sundquist J, Sundquist K, Ji J. Autoimmune diseases and hematological malignancies: Exploring the underlying mechanisms from epidemiological evidence. Semin Cancer Biol 2020; 64:114-121. [DOI: 10.1016/j.semcancer.2019.06.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 06/04/2019] [Accepted: 06/06/2019] [Indexed: 02/08/2023]
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Almlöf JC, Nystedt S, Mechtidou A, Leonard D, Eloranta ML, Grosso G, Sjöwall C, Bengtsson AA, Jönsen A, Gunnarsson I, Svenungsson E, Rönnblom L, Sandling JK, Syvänen AC. Contributions of de novo variants to systemic lupus erythematosus. Eur J Hum Genet 2020; 29:184-193. [PMID: 32724065 PMCID: PMC7852530 DOI: 10.1038/s41431-020-0698-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 06/04/2020] [Accepted: 07/14/2020] [Indexed: 12/21/2022] Open
Abstract
By performing whole-genome sequencing in a Swedish cohort of 71 parent-offspring trios, in which the child in each family is affected by systemic lupus erythematosus (SLE, OMIM 152700), we investigated the contribution of de novo variants to risk of SLE. We found de novo single nucleotide variants (SNVs) to be significantly enriched in gene promoters in SLE patients compared with healthy controls at a level corresponding to 26 de novo promoter SNVs more in each patient than expected. We identified 12 de novo SNVs in promoter regions of genes that have been previously implicated in SLE, or that have functions that could be of relevance to SLE. Furthermore, we detected three missense de novo SNVs, five de novo insertion-deletions, and three de novo structural variants with potential to affect the expression of genes that are relevant for SLE. Based on enrichment analysis, disease-affecting de novo SNVs are expected to occur in one-third of SLE patients. This study shows that de novo variants in promoters commonly contribute to the genetic risk of SLE. The fact that de novo SNVs in SLE were enriched to promoter regions highlights the importance of using whole-genome sequencing for identification of de novo variants.
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Affiliation(s)
- Jonas Carlsson Almlöf
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, 751 23, Uppsala, Sweden.
| | - Sara Nystedt
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, 751 23, Uppsala, Sweden
| | - Aikaterini Mechtidou
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, 751 23, Uppsala, Sweden
| | - Dag Leonard
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, 751 85, Uppsala, Sweden
| | - Maija-Leena Eloranta
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, 751 85, Uppsala, Sweden
| | - Giorgia Grosso
- Department of Medicine, Karolinska Institutet, Rheumatology, Karolinska University Hospital, 171 77, Stockholm, Sweden
| | - Christopher Sjöwall
- Department of Clinical and Experimental Medicine, Rheumatology/Division of Neuro and Inflammation Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Anders A Bengtsson
- Department of Clinical Sciences, Rheumatology, Lund University, Skåne University Hospital, 222 42, Lund, Sweden
| | - Andreas Jönsen
- Department of Clinical Sciences, Rheumatology, Lund University, Skåne University Hospital, 222 42, Lund, Sweden
| | - Iva Gunnarsson
- Department of Medicine, Karolinska Institutet, Rheumatology, Karolinska University Hospital, 171 77, Stockholm, Sweden
| | - Elisabet Svenungsson
- Department of Medicine, Karolinska Institutet, Rheumatology, Karolinska University Hospital, 171 77, Stockholm, Sweden
| | - Lars Rönnblom
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, 751 85, Uppsala, Sweden
| | - Johanna K Sandling
- Department of Medical Sciences, Rheumatology and Science for Life Laboratory, Uppsala University, 751 85, Uppsala, Sweden
| | - Ann-Christine Syvänen
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, 751 23, Uppsala, Sweden
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Association between complement 4 copy number variation and systemic lupus erythematosus: a meta-analysis. Clin Exp Med 2020; 20:627-634. [PMID: 32691186 DOI: 10.1007/s10238-020-00640-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 06/15/2020] [Indexed: 12/26/2022]
Abstract
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by multiple genetic mutations. Complement 4 (C4) copy number variation (CNV) is a target-of-interest located on chromosome 6. C4 encodes for either of the two C4 paralogs, C4A or C4B, and low C4 levels have been associated with SLE activity. In this study, we conducted a meta-analysis to comprehensively understand the role of C4 CNV in SLE. Three databases (PubMed, Embase, and Web of Science) were searched for relevant studies. Two investigators independently extracted and evaluated data from eligible studies. Associations between C4 CNV and SLE were estimated by odds ratios (OR) and 95% confidence intervals (95% CI). Further analysis was conducted using the STATA 12.0 software. A total of eight case-control studies were included in the analysis with 4107 SLE patients and 5889 healthy controls. Six studies used TaqMan real-time PCR to genotype C4 CNV, with 1 study used paralog ratio test and other one used multiplex ligation-dependent probe amplification (MLPA). Lower total C4 CNV and C4A CNV were associated with SLE in the overall analysis (pooled OR: 1.55, 95% CI: 1.23-1.95; pooled OR: 1.86, 95% CI: 1.51-2.29). The subgroup analysis found that total C4 CNV and lower C4A CNV were significantly associated with SLE in Caucasians (pooled OR: 1.84, 95% CI: 1.60-2.12; pooled OR: 2.23, 95% CI:1.92-2.59). However, the association was not detected in East Asians. Lastly, SLE was not associated with C4B CNV, long C4 CNV, or short C4 CNV. The meta-analysis confirmed that lower total C4 CNV and lower C4A CNV are associated with SLE in certain populations. Future studies should consider other ethnic groups to further investigate the relationship between the C4 gene and SLE.
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Zhang F, Wang YF, Zhang Y, Lin Z, Cao Y, Zhang H, Liu ZY, Morris DL, Sheng Y, Cui Y, Zhang X, Vyse TJ, Lau YL, Yang W, Chen Y. Independent Replication on Genome-Wide Association Study Signals Identifies IRF3 as a Novel Locus for Systemic Lupus Erythematosus. Front Genet 2020; 11:600. [PMID: 32719713 PMCID: PMC7348047 DOI: 10.3389/fgene.2020.00600] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 05/18/2020] [Indexed: 01/04/2023] Open
Abstract
Systemic lupus erythematosus (SLE) is a genetically complex autoimmune disease. Despite the significant progress made in identifying susceptibility genes for SLE, the genetic architecture of the disease is far from being understood. In this study, we set to replicate a number of suggestive association signals found in genome-wide association studies (GWASs) in additional independent cohorts. Replication studies were performed on Han Chinese cohorts from Hong Kong and Anhui, involving a total of 2,269 cases and 5,073 controls. We identified a missense variant in IRF3 (rs7251) reaching genome-wide significance through a joint analysis of GWAS and replication data (OR = 0.876, P = 4.40E-08). A significant correlation was observed between rs7251 and lupus nephritis (LN) by subphenotype stratification (OR = 0.785, P = 0.0128). IRF3 is a key molecule in type I interferon production upon nucleic acid antigen stimulations and may inhibit regulatory T cell differentiation. Further elucidation of the mechanism of this association could help us better understand the pathogenesis of SLE.
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Affiliation(s)
- Feixia Zhang
- Department of Pediatrics, Union Hospital Affiliated to Fujian Medical University, Fuzhou, China
| | - Yong-Fei Wang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong.,Shenzhen Futian Hospital for Rheumatic Disease, Shenzhen, China
| | - Yan Zhang
- Department of Pediatric Surgery, Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Zhiming Lin
- Department of Rheumatology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yujie Cao
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Huoru Zhang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Zhong-Yi Liu
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - David L Morris
- Division of Genetics and Molecular Medicine, King's College London, London, United Kingdom
| | - Yujun Sheng
- Department of Dermatology, No.1 Hospital Affiliated to Anhui Medical University, Hefei, China
| | - Yong Cui
- Department of Dermatology, No.1 Hospital Affiliated to Anhui Medical University, Hefei, China
| | - Xuejun Zhang
- Department of Dermatology, No.1 Hospital Affiliated to Anhui Medical University, Hefei, China
| | - Timothy J Vyse
- Division of Genetics and Molecular Medicine, King's College London, London, United Kingdom
| | - Yu Lung Lau
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Wanling Yang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Yanhui Chen
- Department of Pediatrics, Union Hospital Affiliated to Fujian Medical University, Fuzhou, China
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Wang D, Yang J, Fan J, Chen W, Nikolic‐Paterson DJ, Li J. Omics technologies for kidney disease research. Anat Rec (Hoboken) 2020; 303:2729-2742. [PMID: 32592293 DOI: 10.1002/ar.24413] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 12/31/2019] [Accepted: 02/17/2020] [Indexed: 12/24/2022]
Affiliation(s)
- Dan Wang
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
| | - Jiayi Yang
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
| | - Jinjin Fan
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
| | - Wei Chen
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
| | | | - Jinhua Li
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
- Shunde Women and Children Hospital, Guangdong Medical University Shunde Guangdong China
- The Second Clinical College, Guangdong Medical University Dongguan Guangdong China
- Department of Anatomy and Developmental BiologyMonash Biomedicine Discovery Institute, Monash University Clayton Victoria Australia
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