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Gao ZX, He T, Zhang P, Hu X, Ge M, Xu YQ, Wang P, Pan HF. Epigenetic regulation of immune cells in systemic lupus erythematosus: insight from chromatin accessibility. Expert Opin Ther Targets 2024:1-13. [PMID: 38943564 DOI: 10.1080/14728222.2024.2375372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 06/28/2024] [Indexed: 07/01/2024]
Abstract
INTRODUCTION Systemic Lupus Erythematosus (SLE) is a multi-dimensional autoimmune disease involving numerous tissues throughout the body. The chromatin accessibility landscapes in immune cells play a pivotal role in governing their activation, function, and differentiation. Aberrant modulation of chromatin accessibility in immune cells is intimately associated with the onset and progression of SLE. AREAS COVERED In this review, we described the chromatin accessibility landscapes in immune cells, summarized the recent evidence of chromatin accessibility related to the pathogenesis of SLE, and discussed the potential of chromatin accessibility as a valuable option to identify novel therapeutic targets for this disease. EXPERT OPINION Dynamic changes in chromatin accessibility are intimately related to the pathogenesis of SLE and have emerged as a new direction for exploring its epigenetic mechanisms. The differently accessible chromatin regions in immune cells often contain binding sites for transcription factors (TFs) and cis-regulatory elements such as enhancers and promoters, which may be potential therapeutic targets for SLE. Larger scale cohort studies and integrating epigenomic, transcriptomic, and metabolomic data can provide deeper insights into SLE chromatin biology in the future.
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Affiliation(s)
- Zhao-Xing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Department of Epidemiology, Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Tian He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Department of Epidemiology, Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Peng Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Department of Epidemiology, Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xiao Hu
- Department of Epidemiology, Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
- Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Man Ge
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Department of Epidemiology, Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yi-Qing Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Department of Epidemiology, Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Peng Wang
- Department of Epidemiology, Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
- Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Department of Epidemiology, Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
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Zhong X, Shang J, Zhang R, Zhang X, Yu L, Niu H, Duan X. Explore the shared molecular mechanism between dermatomyositis and nasopharyngeal cancer by bioinformatic analysis. PLoS One 2024; 19:e0296034. [PMID: 38753689 PMCID: PMC11098312 DOI: 10.1371/journal.pone.0296034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 12/04/2023] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Dermatomyositis (DM) is prone to nasopharyngeal carcinoma (NPC), but the mechanism is unclear. This study aimed to explore the potential pathogenesis of DM and NPC. METHODS The datasets GSE46239, GSE142807, GSE12452, and GSE53819 were downloaded from the GEO dataset. The disease co-expression module was obtained by R-package WGCNA. We built PPI networks for the key modules. ClueGO was used to analyze functional enrichment for the key modules. DEG analysis was performed with the R-package "limma". R-package "pROC" was applied to assess the diagnostic performance of hub genes. MiRNA-mRNA networks were constructed using MiRTarBase and miRWalk databases. RESULTS The key modules that positively correlated with NPC and DM were found. Its intersecting genes were enriched in the negative regulation of viral gene replication pathway. Similarly, overlapping down-regulated DEGs in DM and NPC were also enriched in negatively regulated viral gene replication. Finally, we identified 10 hub genes that primarily regulate viral biological processes and type I interferon responses. Four key genes (GBP1, IFIH1, IFIT3, BST2) showed strong diagnostic performance, with AUC>0.8. In both DM and NPC, the expression of key genes was correlated with macrophage infiltration level. Based on hub genes' miRNA-mRNA network, hsa-miR-146a plays a vital role in DM-associated NPC. CONCLUSIONS Our research discovered pivot genes between DM and NPC. Viral gene replication and response to type I interferon may be the crucial bridge between DM and NPC. By regulating hub genes, MiR-146a will provide new strategies for diagnosis and treatment in DM complicated by NPC patients. For individuals with persistent viral replication in DM, screening for nasopharyngeal cancer is necessary.
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Affiliation(s)
- Xiuqin Zhong
- Department of rheumatology and immunology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Jingjing Shang
- Department of rheumatology and immunology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Rongwei Zhang
- Department of rheumatology and immunology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Xiuling Zhang
- Department of rheumatology and immunology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Le Yu
- Department of rheumatology and immunology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Haitao Niu
- School of Medicine, Key Laboratory of Viral Pathogenesis & Infection Prevention and Control, Guangzhou Key Laboratory of Germ-free Animals and Microbiota Application, Jinan University, Guangzhou, China
| | - Xinwang Duan
- Department of rheumatology and immunology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
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Yu H, Xie Y, Zuo M, Xu J, Jiang L, Liu T, Wang R, Hu D, Cha Z. Mapping theme evolution and identifying hotspots in biomarkers of systemic lupus erythematosus based on global research. Biomark Med 2024; 18:321-332. [PMID: 38648095 PMCID: PMC11218803 DOI: 10.2217/bmm-2023-0774] [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: 12/06/2023] [Accepted: 03/12/2024] [Indexed: 04/25/2024] Open
Abstract
Objective: To perform a bibliometric analysis in the field of biomarkers for systemic lupus erythematosus. Methods: Publications were from Web of Science. Microsoft Excel, VOSviewer, Science Mapping Analysis software Tool, CiteSpace and Tableau were used for analysis. Results: A total of 1112 publications were identified; 1503 institutions from 69 countries contributed, with the highest outputs from China and Karolinska University Hospital. Petri had a tremendous impact. Academic collaborations were localized. Lupus and Arthritis & Rheumatology were the top two journals in terms of publications and citations. Lymphocyte, autoantibody, type I interferon, genetic polymorphisms and urinary biomarkers have been high-frequency themes. Conclusion: Global collaboration needs to be further strengthened. Immune cell, cytokine and gene-level research as a whole and noninvasive tests are the future trends.
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Affiliation(s)
- Haitao Yu
- Department of Laboratory Medicine, The First Hospital of Lanzhou University, The First Clinical Medical College of Lanzhou University, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Yafei Xie
- West China School of Medicine/West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan, 610041, China
- The First Clinical Medical College of Lanzhou University, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Meiying Zuo
- The First Clinical Medical College of Lanzhou University, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Jianguo Xu
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Lili Jiang
- School of Material Science & Technology, Lanzhou University of Technology, Lanzhou, Gansu, 730050, China
| | - Ting Liu
- Department of Laboratory Medicine, Traditional Chinese Medicine Hospital of Yunyang County, Chongqing, 404500, China
| | - Renmei Wang
- The First Clinical Medical College of Lanzhou University, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Dexuan Hu
- The First Clinical Medical College of Lanzhou University, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Zhenglei Cha
- The First Clinical Medical College of Lanzhou University, Lanzhou University, Lanzhou, Gansu, 730000, China
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Igoe A, Merjanah S, Harley ITW, Clark DH, Sun C, Kaufman KM, Harley JB, Kaelber DC, Scofield RH. Association between systemic lupus erythematosus and myasthenia gravis: A population-based National Study. Clin Immunol 2024; 260:109810. [PMID: 37949200 DOI: 10.1016/j.clim.2023.109810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 10/11/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Systemic lupus erythematosus (SLE) and myasthenia gravis (MG) are autoimmune diseases. Previous case reports and case series suggest an association may exist between these diseases, as well as an increased risk of SLE after thymectomy for MG. We undertook this study to determine whether SLE and MG were associated in large cohorts. METHODS We searched the IBM Watson Health Explorys platform and the Department of Veterans Affairs Million Veteran Program (MVP) database for diagnoses of SLE and MG. In addition, we examined subjects enrolled in the Lupus Family Registry and Repository (LFRR) as well as controls for a diagnosis of MG. RESULTS Among 59,780,210 individuals captured in Explorys, there were 25,750 with MG and 65,370 with SLE. 370 subjects had both. Those with MG were >10 times more likely to have SLE than those without MG. Those with both diseases were more likely to be women, African American, and at a younger age than MG subjects without SLE. In addition, the MG patients who underwent thymectomy had an increased risk of SLE compared to MG patients who had not undergone thymectomy (OR 3.11, 95% CI: 2.12 to 4.55). Autoimmune diseases such as pernicious anemia and miscellaneous comorbidities such as chronic kidney disease were significantly more common in MG patients who developed SLE. In the MVP, SLE and MG were also significantly associated. Association of SLE and MG in a large SLE cohort with rigorous SLE classification confirmed the association of SLE with MG at a similar level. CONCLUSION While the number of patients with both MG and SLE is small, SLE and MG are strongly associated together in very large databases and a large SLE cohort.
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Affiliation(s)
- Ann Igoe
- OhioHealth Hospital, Rheumatology Department, Mansfield, OH 44903, USA
| | - Sali Merjanah
- Boston University Medical Center, Section of Rheumatology, Department of Medicine, Boston, MA 02118, USA
| | - Isaac T W Harley
- Division of Rheumatology, Departments of Medicine and Immunology/Microbiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; Medicine Service, Rheumatology Section, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO 80045, USA
| | - Dennis H Clark
- Research Service, US Department of Veterans Affairs Medical Center, Cincinnati, OH, USA
| | - Celi Sun
- Research Service, US Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA
| | - Kenneth M Kaufman
- Research Service, US Department of Veterans Affairs Medical Center, Cincinnati, OH, USA; Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
| | - John B Harley
- Research Service, US Department of Veterans Affairs Medical Center, Cincinnati, OH, USA; Cincinnati Education and Research for Veterans Foundation, Cincinnati, OH, USA
| | - David C Kaelber
- Departments of Internal Medicine, Pediatrics, and Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine and The Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH 44109, USA
| | - R Hal Scofield
- Research Service, US Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA; Department of Medicine, University of Oklahoma Health Sciences Center, Arthritis & Clinical Immunology Program, Oklahoma Medical Research Foundation, and Medical/Research Service, and Medicine Service, US Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA.
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Zhu X, Zhang Y, Yin Z, Ye Z, Qin Y, Cheng Z, Shen Y, Yin Z, Ma J, Tang Y, Ding H, Guo Y, Hou G, Shen N. Three-Dimensional Chromosomal Landscape Revealing miR-146a Dysfunctional Enhancer in Lupus and Establishing a CRISPR-Mediated Approach to Inhibit the Interferon Pathway. Arthritis Rheumatol 2024; 76:384-395. [PMID: 37728419 DOI: 10.1002/art.42703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 08/28/2023] [Accepted: 09/12/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVE The diminished expression of microRNA-146a (miR-146a) in systemic lupus erythematosus (SLE) contributes to the aberrant activation of the interferon pathway. Despite its significance, the underlying mechanism driving this reduced expression remains elusive. Considering the integral role of enhancers in steering gene expression, our study seeks to pinpoint the SLE-affected enhancers responsible for modulating miR-146a expression. Additionally, we aim to elucidate the mechanisms by which these enhancers influence the contribution of miR-146a to the activation of the interferon pathway. METHODS Circular chromosome conformation capture sequencing and epigenomic profiles were applied to identify candidate enhancers of miR-146a. CRISPR activation was performed to screen functional enhancers. Differential analysis of chromatin accessibility was used to identify SLE-dysregulated enhancers, and the mechanism underlying enhancer dysfunction was investigated by analyzing transcription factor binding. The therapeutic value of a lupus-related enhancer was further evaluated by targeting it in the peripheral blood mononuclear cells (PBMCs) of patients with SLE through a CRISPR activation approach. RESULTS We identified shared and cell-specific enhancers of miR-146a in distinct immune cells. An enhancer 32.5 kb downstream of miR-146a possesses less accessibility in SLE, and its chromatin openness was negatively correlated with SLE disease activity. Moreover, CCAAT/enhancer binding protein α, a down-regulated transcription factor in patients with SLE, binds to the 32.5-kb enhancer and induces the epigenomic change of this locus. Furthermore, CRISPR-based activation of this enhancer in SLE PBMCs could inhibit the activity of interferon pathway. CONCLUSION Our work defines a promising target for SLE intervention. We adopted integrative approaches to define cell-specific and functional enhancers of the SLE critical gene and investigated the mechanism underlying its dysregulation mediated by a lupus-related enhancer.
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Affiliation(s)
- Xinyi Zhu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Yutong Zhang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zihang Yin
- Sheng Yushou Center of Cell Biology and Immunology, Shanghai Jiao Tong University, Shanghai, China
| | - Zhizhong Ye
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Yuting Qin
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhaorui Cheng
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwei Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhihua Yin
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Jianyang Ma
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanjia Tang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huihua Ding
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ya Guo
- Sheng Yushou Center of Cell Biology and Immunology, Shanghai Jiao Tong University, Shanghai, China
| | - Guojun Hou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China, and Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
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Zhang Y, Hou G, Shen N. Non-coding DNA variants for risk in lupus. Best Pract Res Clin Rheumatol 2024:101937. [PMID: 38429183 DOI: 10.1016/j.berh.2024.101937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/08/2024] [Accepted: 02/12/2024] [Indexed: 03/03/2024]
Abstract
Systemic Lupus Erythematosus (SLE) is a multifactorial autoimmune disease that arises from a dynamic interplay between genetics and environmental triggers. The advent of sophisticated genomics technology has catalyzed a shift in our understanding of disease etiology, spotlighting the pivotal role of non-coding DNA variants in SLE pathogenesis. In this review, we present a comprehensive examination of the non-coding variants associated with SLE, shedding light on their role in influencing disease risk and progression. We discuss the latest methodological advancements that have been instrumental in the identification and functional characterization of these genomic elements, with a special focus on the transformative power of CRISPR-based gene-editing technologies. Additionally, the review probes into the therapeutic opportunities that arise from modulating non-coding regions associated with SLE. Through an exploration of the complex network of non-coding DNA, this review aspires to decode the genetic puzzle of SLE and set the stage for groundbreaking gene-based therapeutic interventions and the advancement of precision medicine strategies tailored to SLE management.
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Affiliation(s)
- Yutong Zhang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Guojun Hou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001, China.
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Gaál Z. Role of microRNAs in Immune Regulation with Translational and Clinical Applications. Int J Mol Sci 2024; 25:1942. [PMID: 38339220 PMCID: PMC10856342 DOI: 10.3390/ijms25031942] [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: 01/17/2024] [Revised: 01/31/2024] [Accepted: 02/03/2024] [Indexed: 02/12/2024] Open
Abstract
MicroRNAs (miRNAs) are 19-23 nucleotide long, evolutionarily conserved noncoding RNA molecules that regulate gene expression at the post-transcriptional level. In this review, involvement of miRNAs is summarized in the differentiation and function of immune cells, in anti-infective immune responses, immunodeficiencies and autoimmune diseases. Roles of miRNAs in anticancer immunity and in the transplantation of solid organs and hematopoietic stem cells are also discussed. Major focus is put on the translational clinical applications of miRNAs, including the establishment of noninvasive biomarkers for differential diagnosis and prediction of prognosis. Patient selection and response prediction to biological therapy is one of the most promising fields of application. Replacement or inhibition of miRNAs has enormous therapeutic potential, with constantly expanding possibilities. Although important challenges still await solutions, evaluation of miRNA fingerprints may contribute to an increasingly personalized management of immune dysregulation with a remarkable reduction in toxicity and treatment side effects. More detailed knowledge of the molecular effects of physical exercise and nutrition on the immune system may facilitate self-tailored lifestyle recommendations and advances in prevention.
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Affiliation(s)
- Zsuzsanna Gaál
- Department of Pediatrics, Faculty of Medicine, University of Debrecen, 98 Nagyerdei krt, 4032 Debrecen, Hungary
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Gu Y, Tang J, Zhang H, Wu Q, Luo L, Sun J. MicroRNA-125b mediates Interferon-γ-induced downregulation of the vitamin D receptor in systemic lupus erythematosus. Z Rheumatol 2024; 83:132-139. [PMID: 36732450 PMCID: PMC9894746 DOI: 10.1007/s00393-023-01319-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND The inflammatory factor interferon (IFN)-γ is related to the occurrence and development of systemic lupus erythematosus (SLE). The vitamin D receptor (VDR) has an anti-inflammatory effect and its downregulation is involved in the onset of SLE. Our previous studies have confirmed that the expression of VDR in SLE peripheral blood mononuclear cells (PBMCs) is downregulated, which is negatively correlated with disease activity and inflammation. However, the mechanism underlying VDR downregulation in SLE is unknown. METHODS Based on the results of computer simulation analysis, the expression of VDR and four microRNAs (miR-17-3p, miR-34a, miR-346, and miR-125b) in SLE PBMC cells was analyzed under proinflammatory cytokine IFN‑γ treatment, and miR-125b was identified as the target miRNA. The relationship between IFN‑γ, miR-125b, and VDR was further assessed in THP‑1 cells. RESULTS We showed that IFN‑γ inhibited the expression of VDR and miR-125b. Further study revealed that VDR mRNA was positively correlated with miR-125b in THP‑1 cells after IFN‑γ intervention. After transfection of miR-125b mimic or inhibitor, the expression of VDR in the miR-125b inhibitor group was lower than in the control group and miR-125b mimic group, while expression in the control group was lower than in miR-125b mimic group. Transfection of miR-125b inhibitor into THP‑1 cells could further promote the ability of IFN‑γ to inhibit VDR. CONCLUSION The decrease in VDR expression promotes development of inflammation and SLE. These data suggest that miR-125b may mediate inflammatory factor IFN-γ-induced downregulation of VDR in the pathogenesis of SLE.
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Affiliation(s)
- Yihong Gu
- Department of Nephrology and Rheumatology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Juan Tang
- Department of Nephrology and Rheumatology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Hao Zhang
- Department of Nephrology and Rheumatology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Qiongying Wu
- Department of Nephrology and Rheumatology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Linjuan Luo
- Department of Nephrology and Rheumatology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Jian Sun
- Department of Nephrology and Rheumatology, Third Xiangya Hospital, Central South University, Changsha, China.
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Gao X, Huang X, Wang Y, Sun S, Chen T, Gao Y, Zhang X. Global research hotspots and frontier trends of epigenetic modifications in autoimmune diseases: A bibliometric analysis from 2012 to 2022. Medicine (Baltimore) 2023; 102:e35221. [PMID: 37773838 PMCID: PMC10545364 DOI: 10.1097/md.0000000000035221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 08/23/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Recent studies have shown substantial progress in understanding the association between epigenetics and autoimmune diseases. However, there is a lack of comprehensive bibliometric analysis in this research area. This article aims to present the current status and hot topics of epigenetic research in autoimmune diseases (ADs) from a bibliometric perspective, as well as explore the frontier hotspots and trends in epigenetic studies related to ADs. METHODS This study collected 1870 epigenetic records related to autoimmune diseases from the web of science core collection database, spanning from 2012 to 2022. Analysis of regions, institutions, journals, authors, and keywords was conducted using CiteSpace, VOSviewer, and the R package "bibliometrix" to predict the latest trends in epigenetic research relevant to autoimmune diseases. RESULTS The number of epigenetic publications related to autoimmune diseases has been increasing annually. The United States has played a major role in this field, contributing over 45.9% of publications and leading in terms of publication volume and citation counts. Central South University emerged as the most active institution, contributing the highest number of publications. Frontiers in Immunology is the most popular journal in this field, publishing the most articles, while the Journal of Autoimmunity is the most co-cited journal. Lu QJ is the most prolific author, and Zhao M is the most frequently co-cited author. "Immunology" serves as a broad representative of epigenetic research in ADs. Hot topics in the field of epigenetic modifications associated with autoimmune diseases include "regulatory T cells (Treg)," "rheumatoid arthritis," "epigenetic regulation," "cAMPresponsive element modulator alpha," "cell-specific enhancer," "genetic susceptibility," and "systemic lupus erythematosus." Furthermore, the study discusses the frontiers and existing issues of epigenetic modifications in the development of autoimmune diseases. CONCLUSIONS This study provides a comprehensive overview of the knowledge structure and developmental trends in epigenetic research related to autoimmune diseases over the past 11 years.
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Affiliation(s)
- Xiang Gao
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Xin Huang
- Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Yehui Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Sheng Sun
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Tao Chen
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Yongxiang Gao
- International Education College, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Xiaodan Zhang
- Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
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Chau K, Raksadawan Y, Allison K, Ice JA, Scofield RH, Chepelev I, Harley ITW. Pervasive Sharing of Causal Genetic Risk Factors Contributes to Clinical and Molecular Overlap between Sjögren's Disease and Systemic Lupus Erythematosus. Int J Mol Sci 2023; 24:14449. [PMID: 37833897 PMCID: PMC10572278 DOI: 10.3390/ijms241914449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 10/15/2023] Open
Abstract
SjD (Sjögren's Disease) and SLE (Systemic Lupus Erythematosus) are similar diseases. There is extensive overlap between the two in terms of both clinical features and pathobiologic mechanisms. Shared genetic risk is a potential explanation of this overlap. In this study, we evaluated whether these diseases share causal genetic risk factors. We compared the causal genetic risk for SLE and SjD using three complementary approaches. First, we examined the published GWAS results for these two diseases by analyzing the predicted causal gene protein-protein interaction networks of both diseases. Since this method does not account for overlapping risk intervals, we examined whether such intervals also overlap. Third, we used two-sample Mendelian randomization (two sample MR) using GWAS summary statistics to determine whether risk variants for SLE are causal for SjD and vice versa. We found that both the putative causal genes and the genomic risk intervals for SLE and SjD overlap 28- and 130-times more than expected by chance (p < 1.1 × 10-24 and p < 1.1 × 10-41, respectively). Further, two sample MR analysis confirmed that alone or in aggregate, SLE is likely causal for SjD and vice versa. [SjD variants predicting SLE: OR = 2.56; 95% CI (1.98-3.30); p < 1.4 × 10-13, inverse-variance weighted; SLE variants predicting SjD: OR = 1.36; 95% CI (1.26-1.47); p < 1.6 × 10-11, inverse-variance weighted]. Notably, some variants have disparate impact in terms of effect size across disease states. Overlapping causal genetic risk factors were found for both diseases using complementary approaches. These observations support the hypothesis that shared genetic factors drive the clinical and pathobiologic overlap between these diseases. Our study has implications for both differential diagnosis and future genetic studies of these two conditions.
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Affiliation(s)
- Karen Chau
- Division of Rheumatology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Yanint Raksadawan
- Internal Medicine Residency Program, Louis A. Weiss Memorial Hospital, Chicago, IL 60640, USA
| | - Kristen Allison
- Division of Rheumatology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - John A. Ice
- Research Service, Oklahoma City US Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA
| | - Robert Hal Scofield
- Research Service, Oklahoma City US Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA
- Medicine Service, Oklahoma City US Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
- Arthritis & Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Iouri Chepelev
- Research Service, Cincinnati US Department of Veterans Affairs Medical Center, Cincinnati, OH 45220, USA
| | - Isaac T. W. Harley
- Division of Rheumatology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Rheumatology Section, Medicine Service, Eastern Colorado Healthcare System, US Department of Veterans Affairs Medical Center, Aurora, CO 80045, USA
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11
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Ma W, Fu Y, Bao Y, Wang Z, Lei B, Zheng W, Wang C, Liu Y. DeepSATA: A Deep Learning-Based Sequence Analyzer Incorporating the Transcription Factor Binding Affinity to Dissect the Effects of Non-Coding Genetic Variants. Int J Mol Sci 2023; 24:12023. [PMID: 37569400 PMCID: PMC10418434 DOI: 10.3390/ijms241512023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/13/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Utilizing large-scale epigenomics data, deep learning tools can predict the regulatory activity of genomic sequences, annotate non-coding genetic variants, and uncover mechanisms behind complex traits. However, these tools primarily rely on human or mouse data for training, limiting their performance when applied to other species. Furthermore, the limited exploration of many species, particularly in the case of livestock, has led to a scarcity of comprehensive and high-quality epigenetic data, posing challenges in developing reliable deep learning models for decoding their non-coding genomes. The cross-species prediction of the regulatory genome can be achieved by leveraging publicly available data from extensively studied organisms and making use of the conserved DNA binding preferences of transcription factors within the same tissue. In this study, we introduced DeepSATA, a novel deep learning-based sequence analyzer that incorporates the transcription factor binding affinity for the cross-species prediction of chromatin accessibility. By applying DeepSATA to analyze the genomes of pigs, chickens, cattle, humans, and mice, we demonstrated its ability to improve the prediction accuracy of chromatin accessibility and achieve reliable cross-species predictions in animals. Additionally, we showcased its effectiveness in analyzing pig genetic variants associated with economic traits and in increasing the accuracy of genomic predictions. Overall, our study presents a valuable tool to explore the epigenomic landscape of various species and pinpoint regulatory deoxyribonucleic acid (DNA) variants associated with complex traits.
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Affiliation(s)
- Wenlong Ma
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (W.M.); (Y.F.); (Y.B.); (Z.W.); (B.L.); (W.Z.); (C.W.)
- Innovation Group of Pig Genome Design and Breeding, Research Centre for Animal Genome, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Yang Fu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (W.M.); (Y.F.); (Y.B.); (Z.W.); (B.L.); (W.Z.); (C.W.)
- Innovation Group of Pig Genome Design and Breeding, Research Centre for Animal Genome, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Yongzhou Bao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (W.M.); (Y.F.); (Y.B.); (Z.W.); (B.L.); (W.Z.); (C.W.)
- Innovation Group of Pig Genome Design and Breeding, Research Centre for Animal Genome, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
- School of Life Sciences, Henan University, Kaifeng 475004, China
| | - Zhen Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (W.M.); (Y.F.); (Y.B.); (Z.W.); (B.L.); (W.Z.); (C.W.)
- Innovation Group of Pig Genome Design and Breeding, Research Centre for Animal Genome, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
- School of Life Sciences, Henan University, Kaifeng 475004, China
| | - Bowen Lei
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (W.M.); (Y.F.); (Y.B.); (Z.W.); (B.L.); (W.Z.); (C.W.)
- Innovation Group of Pig Genome Design and Breeding, Research Centre for Animal Genome, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China
| | - Weigang Zheng
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (W.M.); (Y.F.); (Y.B.); (Z.W.); (B.L.); (W.Z.); (C.W.)
- Innovation Group of Pig Genome Design and Breeding, Research Centre for Animal Genome, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China
| | - Chao Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (W.M.); (Y.F.); (Y.B.); (Z.W.); (B.L.); (W.Z.); (C.W.)
- Innovation Group of Pig Genome Design and Breeding, Research Centre for Animal Genome, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China
| | - Yuwen Liu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (W.M.); (Y.F.); (Y.B.); (Z.W.); (B.L.); (W.Z.); (C.W.)
- Innovation Group of Pig Genome Design and Breeding, Research Centre for Animal Genome, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
- Kunpeng Institute of Modern Agriculture at Foshan, Chinese Academy of Agricultural Sciences, Foshan 528226, China
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12
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Lu X, Jin H. A Review of CRISPR-Based Advances in Dermatological Diseases. Mol Diagn Ther 2023; 27:445-456. [PMID: 37041404 DOI: 10.1007/s40291-023-00642-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/07/2023] [Indexed: 04/13/2023]
Abstract
Clustered regularly interspaced short palindromic repeat (CRISPR) has revolutionized biomedical research by offering novel approaches to genetic and epigenetic manipulation. In dermatology, it has significantly promoted our understanding of complex diseases, and shown great potential in therapeutic applications. In this review, we introduce the adoption of CRISPR technology as a tool to study different types of skin disorders, including monogenic genodermatoses, inflammatory disorders, and cutaneous infections. We highlight the promising preclinical results of CRISPR-mediated treatment and important mechanic discoveries in investigative studies. Future opportunities and remaining challenges are also discussed. We predict that CRISPR will be more extensively used for dermatological research and even be accessible to patients in the future.
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Affiliation(s)
- Xinyi Lu
- Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, 100730, China
| | - Hongzhong Jin
- Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, 100730, China.
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13
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Qiu Y, Feng D, Jiang W, Zhang T, Lu Q, Zhao M. 3D genome organization and epigenetic regulation in autoimmune diseases. Front Immunol 2023; 14:1196123. [PMID: 37346038 PMCID: PMC10279977 DOI: 10.3389/fimmu.2023.1196123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/17/2023] [Indexed: 06/23/2023] Open
Abstract
Three-dimensional (3D) genomics is an emerging field of research that investigates the relationship between gene regulatory function and the spatial structure of chromatin. Chromatin folding can be studied using chromosome conformation capture (3C) technology and 3C-based derivative sequencing technologies, including chromosome conformation capture-on-chip (4C), chromosome conformation capture carbon copy (5C), and high-throughput chromosome conformation capture (Hi-C), which allow scientists to capture 3D conformations from a single site to the entire genome. A comprehensive analysis of the relationships between various regulatory components and gene function also requires the integration of multi-omics data such as genomics, transcriptomics, and epigenomics. 3D genome folding is involved in immune cell differentiation, activation, and dysfunction and participates in a wide range of diseases, including autoimmune diseases. We describe hierarchical 3D chromatin organization in this review and conclude with characteristics of C-techniques and multi-omics applications of the 3D genome. In addition, we describe the relationship between 3D genome structure and the differentiation and maturation of immune cells and address how changes in chromosome folding contribute to autoimmune diseases.
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Affiliation(s)
- Yueqi Qiu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
| | - Delong Feng
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Wenjuan Jiang
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
| | - Tingting Zhang
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
- State Key Laboratory of Natural Medicines, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Qianjin Lu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ming Zhao
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
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14
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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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15
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Lee YH, Song GG. Association between Susceptibility to Systemic Lupus Erythematous and Polymorphisms in miR-146a and miR-499: A Meta-Analysis. Int Arch Allergy Immunol 2023; 184:814-821. [PMID: 37231940 PMCID: PMC10413798 DOI: 10.1159/000527575] [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: 07/28/2022] [Accepted: 09/23/2022] [Indexed: 05/27/2023] Open
Abstract
INTRODUCTION This study aimed to determine whether miR-146a and miR-499 polymorphisms are associated with susceptibility to systemic lupus erythematosus (SLE). METHODS We searched the MEDLINE, EMBASE, and Cochrane databases. We performed a meta-analysis on the association of miR-146a rs2910164, rs2431697, rs57095329, and miR-499 rs3746444 polymorphisms with susceptibility to SLE. RESULTS Twenty-one studies from 17 reports, with 18,910 patients and 29,622 controls, were included in the meta-analysis. Meta-analysis revealed no association between SLE and the rs2910164 C allele (odds ratio [OR] = 0.999, 95% confidence interval [CI] = 0.816-1.222, p = 0.990). Stratification by ethnicity indicated no association between the miR-146a C allele and SLE in Arab or Latin American populations. The meta-analysis revealed an association between SLE and the miR-499 rs374644 CC + CT genotype in the overall group (OR = 1.313, 95% CI = 1.015-1.698, p = 0.038). Furthermore, meta-analysis revealed a significant association between SLE and the miR-146a rs2431697 C allele in the overall group (OR = 0.746, 95% CI = 0.697-0.798, p = 0.038). The miR-146a rs2431697 C allele is protective against SLE risk. Stratification by ethnicity indicated an association between the miR-146a rs2431697 C allele and SLE in Asian and European, but not Arab populations. The meta-analysis showed an association between the miR-146a rs57095329 G allele and SLE in Asian, but not Arab populations. DISCUSSION/CONCLUSION This meta-analysis suggests that the miR-146a rs2431697 polymorphism is a protective factor against the risk of SLE, and that the miR-146a rs57095329 and miR-499 rs3746444 polymorphisms are associated with susceptibility to SLE. However, miR-146a rs2910164 was not associated with susceptibility to SLE.
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Affiliation(s)
- Young Ho Lee
- Division of Rheumatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Gwan Gyu Song
- Division of Rheumatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
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16
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Wang S, Li Y, Du X, Li Q. Two single nucleotide variants in the miR-23a promoter affect granulosa cell apoptosis. Anim Genet 2023; 54:207-210. [PMID: 36478437 DOI: 10.1111/age.13284] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 11/25/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022]
Abstract
microRNAs (miRNAs) are well known to be important in mammalian female fertility. However, the genetic regulation of miRNAs associated with female fertility remains largely unknown. Here, we report that two single-nucleotide variants (SNVs) in the miR-23a promoter strongly influence miR-23a transcription and function in granulosa cell (GC) apoptosis. Two novel SNVs, g.-283G>C and g.-271C>T, were detected in the porcine miR-23a promoter by pooled-DNA sequencing. Furthermore, SNVs in the promoter region influenced miR-23a transcription in porcine GCs by altering its promoter activity. Functionally, SNVs in the promoter strongly influenced miR-23a regulation of early apoptosis in porcine GCs cultured in vitro. In addition, a preliminary association analysis showed that the combined genotypes of the two SNVs, rather than a single SNV, were tentatively associated with sow fertility traits in a Large White population. Overall, our findings suggest that the SNVs g.-283G>C and g.-271C>T in the miR-23a promoter are causal variants affecting GC apoptosis and miR-23a may be a potential small-molecule nonhormonal drug for regulating female fertility.
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Affiliation(s)
- Siqi Wang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Yuqi Li
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Xing Du
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Qifa Li
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
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17
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The critical importance of epigenetics in autoimmune-related skin diseases. Front Med 2023; 17:43-57. [PMID: 36811762 DOI: 10.1007/s11684-022-0980-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 12/05/2022] [Indexed: 02/24/2023]
Abstract
Autoimmune-related skin diseases are a group of disorders with diverse etiology and pathophysiology involved in autoimmunity. Genetics and environmental factors may contribute to the development of these autoimmune disorders. Although the etiology and pathogenesis of these disorders are poorly understood, environmental variables that induce aberrant epigenetic regulations may provide some insights. Epigenetics is the study of heritable mechanisms that regulate gene expression without changing DNA sequences. The most important epigenetic mechanisms are DNA methylation, histone modification, and noncoding RNAs. In this review, we discuss the most recent findings regarding the function of epigenetic mechanisms in autoimmune-related skin disorders, including systemic lupus erythematosus, bullous skin diseases, psoriasis, and systemic sclerosis. These findings will expand our understanding and highlight the possible clinical applications of precision epigenetics approaches.
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18
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Zhao M, Feng D, Hu L, Liu L, Wu J, Hu Z, Long H, Kuang Q, Ouyang L, Lu Q. 3D genome alterations in T cells associated with disease activity of systemic lupus erythematosus. Ann Rheum Dis 2023; 82:226-234. [PMID: 36690410 PMCID: PMC9887402 DOI: 10.1136/ard-2022-222653] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 08/17/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVES Three-dimensional (3D) genome alterations can dysregulate gene expression by rewiring physical interactions within chromosomes in a tissue-specific or cell-specific manner and lead to diseases. We aimed to elucidate the 3D genome structure and its role in gene expression networks dysregulated in systemic lupus erythematosus (SLE). METHODS We performed Hi-C experiments using CD4+ T cells from 7 patients with SLE and 5 age-matched and sex-matched healthy controls (HCs) combined with RNA sequencing analysis. Further integrative analyses, including transcription factor motif enrichment, SPI1 knockdown and histone modifications (H3K27ac, H3K4me1, H3K4me3), were performed for altered loop-associated gene loci in SLE. RESULTS We deciphered the 3D chromosome organisation in T cells of patients with SLE and found it was clearly distinct from that of HCs and closely associated with the disease activity of SLE. Importantly, we identified loops within chromosomes associated with the disease activity of SLE and differentially expressed genes and found some key histone modifications close to these loops. Moreover, we demonstrated the contribution of the transcription factor SPI1, whose motif is located in the altered loop in SLE, to the overexpression of interferon pathway gene. In addition, we identified the potential influences of genetic variations in 3D genome alterations in SLE. CONCLUSIONS Our results highlight the 3D genome structure alterations associated with SLE development and provide a foundation for future interrogation of the relationships between chromosome structure and gene expression control in SLE.
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Affiliation(s)
- Ming Zhao
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
| | - Delong Feng
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Longyuan Hu
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Lin Liu
- Epigenetic Group, Frasergen Bioinformatics Co, Ltd, Wuhan, China
| | - Jiali Wu
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zhi Hu
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Haojun Long
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Qiqi Kuang
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Lianlian Ouyang
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Qianjin Lu
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
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19
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Huang T, Cheng J, Feng H, Zhou W, Qiu P, Zhou D, Yang D, Zhang J, Willer C, Chen YE, Mizrak D, Yang B. Bicuspid Aortic Valve-Associated Regulatory Regions Reveal GATA4 Regulation and Function During Human-Induced Pluripotent Stem Cell-Based Endothelial-Mesenchymal Transition-Brief Report. Arterioscler Thromb Vasc Biol 2023; 43:312-322. [PMID: 36519469 PMCID: PMC10038164 DOI: 10.1161/atvbaha.122.318566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND The endothelial-mesenchymal transition (EndoMT) is a fundamental process for heart valve formation and defects in EndoMT cause aortic valve abnormalities. Our previous genome-wide association study identified multiple variants in a large chromosome 8 segment as significantly associated with bicuspid aortic valve (BAV). The objective of this study is to determine the biological effects of this large noncoding segment in human induced pluripotent stem cell (hiPSC)-based EndoMT. METHODS A large genomic segment enriched for BAV-associated variants was deleted in hiPSCs using 2-step CRISPR/Cas9 editing. To address the effects of the variants on GATA4 expression, we generated CRISPR repression hiPSC lines (CRISPRi) as well as hiPSCs from BAV patients. The resulting hiPSCs were differentiated to mesenchymal/myofibroblast-like cells through cardiovascular-lineage endothelial cells for molecular and cellular analysis. Single-cell RNA sequencing was also performed at different stages of EndoMT induction. RESULTS The large deletion impaired hiPSC-based EndoMT in multiple biallelic clones compared with their isogenic control. It also reduced GATA4 transcript and protein levels during EndoMT, sparing the other genes nearby the deletion segment. Single-cell trajectory analysis revealed the molecular reprogramming during EndoMT. Putative GATA-binding protein targets during EndoMT were uncovered, including genes implicated in endocardial cushion formation and EndoMT process. Differentiation of cells derived from BAV patients carrying the rs117430032 variant as well as CRISPRi repression of the rs117430032 locus resulted in lower GATA4 expression in a stage-specific manner. TWIST1 was identified as a potential regulator of GATA4 expression, showing specificity to the locus tagged by rs117430032. CONCLUSIONS BAV-associated distal regions regulate GATA4 expression during hiPSC-based EndoMT, which in turn promotes EndoMT progression, implicating its contribution to heart valve development.
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Affiliation(s)
- Tingting Huang
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Jiaxi Cheng
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Hao Feng
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Wei Zhou
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Ping Qiu
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Dong Zhou
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Dongshan Yang
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Jifeng Zhang
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Cristen Willer
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Y. Eugene Chen
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Dogukan Mizrak
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Bo Yang
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA
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Lu J, Zhu D, Zhang X, Wang J, Cao H, Li L. The crucial role of LncRNA MIR210HG involved in the regulation of human cancer and other disease. CLINICAL & TRANSLATIONAL ONCOLOGY : OFFICIAL PUBLICATION OF THE FEDERATION OF SPANISH ONCOLOGY SOCIETIES AND OF THE NATIONAL CANCER INSTITUTE OF MEXICO 2023; 25:137-150. [PMID: 36088513 DOI: 10.1007/s12094-022-02943-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/30/2022] [Indexed: 01/07/2023]
Abstract
Long noncoding RNAs (lncRNAs) have evoked considerable interest in recent years due to their critical functions in the regulation of disease processes. Abnormal expression of lncRNAs is found in multiple diseases, and lncRNAs have been exploited for diverse medical applications. The lncRNA MIR210HG is a recently discovered lncRNA that is widely dysregulated in human disease. MIR210HG was described to have biological functions with potential roles in disease development, including cell proliferation, invasion, migration, and energy metabolism. And MIR210HG dysregulation was confirmed to have promising clinical values in disease diagnosis, treatment, and prognosis. In this review, we systematically summarize the expression profiles, roles, underlying mechanisms, and clinical applications of MIR210HG in human disease.
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Affiliation(s)
- Juan Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Shangcheng District, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China
| | - Danhua Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Shangcheng District, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China
| | - Xiaoqian Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Shangcheng District, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China
| | - Jie Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Shangcheng District, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China
| | - Hongcui Cao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Shangcheng District, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Shangcheng District, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
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21
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Mei X, Zhang B, Zhao M, Lu Q. An update on epigenetic regulation in autoimmune diseases. J Transl Autoimmun 2022; 5:100176. [PMID: 36544624 PMCID: PMC9762196 DOI: 10.1016/j.jtauto.2022.100176] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 10/09/2022] [Accepted: 11/25/2022] [Indexed: 12/14/2022] Open
Abstract
Autoimmune diseases (AIDs) generally manifest as chronic immune disorders characterized by significant heterogeneity and complex symptoms. The discordant incidence of AIDs between monozygotic twins guided people to attach importance to environmental factors. Epigenetics is one of the major ways to be influenced, some of them can even occur years before clinical diagnosis. With the advent of high-throughput omics times, the mysterious veil of epigenetic modification in AIDs has been gradually unraveled, and some progress has been made in utilizing it as indicators of diagnosis and disease activity. For example, the hypomethylated IFI44L promoter in diagnosing systematic lupus erythematosus (SLE). More recently, newly identified noncoding RNAs (ncRNAs), including long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs), are also believed to be involved in the etiology of AIDs while the initial factor behind those epigenetic alterations can be diverse from metabolism to microbiota. Update and comprehensive insights into epigenetics in AIDs can help us understand the pathogenesis and further orchestrate it to benefit patients in the future. Therefore, we reviewed the latest epigenetic findings in SLE, rheumatoid arthritis (RA), Type 1 diabetes (T1D), systemic sclerosis (SSc) primarily from cellular levels.
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Affiliation(s)
- Xiaole Mei
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China,Key Laboratory of Basic and Translational Research on Immunological Dermatology, Chinese Academy of Medical Sciences, Nanjing, Jiangsu, China,Institute of Dermatology, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China,Research Unit of Key Technologies of Diagnosis and Treatment for Immune-related Skin Diseases, Chinese Academy of Medical Sciences, Changsha, Hunan, China
| | - Bo Zhang
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China,Key Laboratory of Basic and Translational Research on Immunological Dermatology, Chinese Academy of Medical Sciences, Nanjing, Jiangsu, China,Institute of Dermatology, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China,Research Unit of Key Technologies of Diagnosis and Treatment for Immune-related Skin Diseases, Chinese Academy of Medical Sciences, Changsha, Hunan, China,Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Ming Zhao
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China,Research Unit of Key Technologies of Diagnosis and Treatment for Immune-related Skin Diseases, Chinese Academy of Medical Sciences, Changsha, Hunan, China,Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China,Corresponding author. Research Unit of Key Technologies of Diagnosis and Treatment for Immune-related Skin Diseases, Chinese Academy of Medical Sciences, Changsha, Hunan, China.
| | - Qianjin Lu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China,Key Laboratory of Basic and Translational Research on Immunological Dermatology, Chinese Academy of Medical Sciences, Nanjing, Jiangsu, China,Institute of Dermatology, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China,Research Unit of Key Technologies of Diagnosis and Treatment for Immune-related Skin Diseases, Chinese Academy of Medical Sciences, Changsha, Hunan, China,Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China,Corresponding author. Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China.
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22
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Epigenetic Dysregulation in Autoimmune and Inflammatory Skin Diseases. Clin Rev Allergy Immunol 2022; 63:447-471. [DOI: 10.1007/s12016-022-08956-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/07/2022] [Indexed: 11/11/2022]
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23
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Wang G, Xu Y, Wang Q, Chai Y, Sun X, Yang F, Zhang J, Wu M, Liao X, Yu X, Sheng X, Liu Z, Zhang J. Rare and undiagnosed diseases: From disease-causing gene identification to mechanism elucidation. FUNDAMENTAL RESEARCH 2022; 2:918-928. [PMID: 38933382 PMCID: PMC11197726 DOI: 10.1016/j.fmre.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/04/2022] [Accepted: 09/05/2022] [Indexed: 11/27/2022] Open
Abstract
Rare and undiagnosed diseases substantially decrease patient quality of life and have increasingly become a heavy burden on healthcare systems. Because of the challenges in disease-causing gene identification and mechanism elucidation, patients are often confronted with difficulty obtaining a precise diagnosis and treatment. Due to advances in sequencing and multiomics analysis approaches combined with patient-derived iPSC models and gene-editing platforms, substantial progress has been made in the diagnosis and treatment of rare and undiagnosed diseases. The aforementioned techniques also provide an operational basis for future precision medicine studies. In this review, we summarize recent progress in identifying disease-causing genes based on GWAS/WES/WGS-guided multiomics analysis approaches. In addition, we discuss recent advances in the elucidation of pathogenic mechanisms and treatment of diseases with state-of-the-art iPSC and organoid models, which are improved by cell maturation level and gene editing technology. The comprehensive strategies described above will generate a new paradigm of disease classification that will significantly promote the precision and efficiency of diagnosis and treatment for rare and undiagnosed diseases.
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Affiliation(s)
- Gang Wang
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China
| | - Yuyan Xu
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Qintao Wang
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yi Chai
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xiangwei Sun
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Fan Yang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China
| | - Jian Zhang
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mengchen Wu
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xufeng Liao
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xiaomin Yu
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xin Sheng
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Zhihong Liu
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China
| | - Jin Zhang
- Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Hangzhou 311121, China
- Center for Stem Cell and Regenerative Medicine, Department of Basic Medical Sciences, The First Affiliated Hospital, Zhejiang University School of Medicine; Center of Gene/Cell Engineering and Genome Medicine of Zhejiang Province, Hangzhou 310058, China
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24
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Evolving understandings for the roles of non-coding RNAs in autoimmunity and autoimmune disease. J Autoimmun 2022:102948. [DOI: 10.1016/j.jaut.2022.102948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 10/24/2022] [Indexed: 11/09/2022]
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25
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Huang M, Xu H. Genetic susceptibility to autoimmunity-Current status and challenges. Adv Immunol 2022; 156:25-54. [PMID: 36410874 DOI: 10.1016/bs.ai.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Autoimmune diseases (ADs) often arise from a combination of genetic and environmental triggers that disrupt the immune system's capability to properly tolerate body self-antigens. Familial studies provided the earliest insights into the risk loci of such diseases, while genome-wide association studies (GWAS) significantly broadened the horizons. A drug targeting a prominent pathological pathway can be applied to multiple indications sharing overlapping mechanisms. Advances in genomic technologies used in genetic studies provide critical insights into future research on gene-environment interactions in autoimmunity. This Review summarizes the history and recent advances in the understanding of genetic susceptibility to ADs and related immune disorders, including coronavirus disease 2019 (COVID-19), and their indications for the development of diagnostic or prognostic markers for translational applications.
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Affiliation(s)
| | - Huji Xu
- School of Medicine, Tsinghua University, Beijing, China; Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, The Navel Medical University, Shanghai, China; Peking-Tsinghua Center for Life Sciences, Tsinghua University, Beijing, China.
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26
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Hou G, Zhou T, Xu N, Yin Z, Zhu X, Zhang Y, Cui Y, Ma J, Tang Y, Cheng Z, Shen Y, Chen Y, Zou LH, Wang YF, Yin Z, Guo Y, Ding H, Ye Z, Shen N. Integrative Functional Genomics Identifies Systemic Lupus Erythematosus Causal Genetic Variant in the IRF5 Risk Locus. Arthritis Rheumatol 2022; 75:574-585. [PMID: 36245280 DOI: 10.1002/art.42390] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 09/14/2022] [Accepted: 10/04/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE IRF5 plays a crucial role in the development of lupus. Genome-wide association studies have identified several systemic lupus erythematosus (SLE) risk single-nucleotide polymorphisms (SNPs) enriched in the IRF5 locus. However, no comprehensive genome editing-based functional analysis exists to establish a direct link between these variants and altered IRF5 expression, particularly for enhancer variants. This study was undertaken to dissect the regulatory function and mechanisms of SLE IRF5 enhancer risk variants and to explore the utilization of clustered regularly interspaced short palindromic repeat interference (CRISPRi) to regulate the expression of disease risk gene to intervene in the disease. METHODS Epigenomic profiles and expression quantitative trait locus analysis were applied to prioritize putative functional variants in the IRF5 locus. CRISPR-mediated deletion, activation, and interference were performed to investigate the genetic function of rs4728142. Allele-specific chromatin immunoprecipitation-quantitative polymerase chain reaction and allele-specific formaldehyde-assisted isolation of regulatory element-quantitative polymerase chain reaction were used to decipher the mechanism of alleles differentially regulating IRF5 expression. The CRISPRi approach was used to evaluate the intervention effect in monocytes from SLE patients. RESULTS SLE risk SNP rs4728142 was located in an enhancer region, indicating a disease-related regulatory function, and risk allele rs4728142-A was closely associated with increased IRF5 expression. We demonstrated that an rs4728142-containing region could act as an enhancer to regulate the expression of IRF5. Moreover, rs4728142 affected the binding affinity of zinc finger and BTB domain-containing protein 3 (ZBTB3), a transcription factor involved in regulation. Furthermore, in monocytes from SLE patients, CRISPR-based interference with the regulation of this enhancer attenuated the production of disease-associated cytokines. CONCLUSION These results demonstrate that the rs4728142-A allele increases the SLE risk by affecting ZBTB3 binding, chromatin status, and regulating IRF5 expression, establishing a biologic link between genetic variation and lupus pathogenesis.
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Affiliation(s)
- Guojun Hou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China, and State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tian Zhou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ning Xu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhihua Yin
- Shenzhen Futian Hospital for Rheumatic Diseases, and Joint Research Laboratory for Rheumatology of Shenzhen University Health Science Center and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Xinyi Zhu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yutong Zhang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yange Cui
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jianyang Ma
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanjia Tang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhaorui Cheng
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwei Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yashuo Chen
- Shenzhen Futian Hospital for Rheumatic Diseases, and Joint Research Laboratory for Rheumatology of Shenzhen University Health Science Center and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Ling-Hua Zou
- Shenzhen Futian Hospital for Rheumatic Diseases, and Joint Research Laboratory for Rheumatology of Shenzhen University Health Science Center and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Yong-Fei Wang
- School of Life and Health Sciences, School of Medicine, and Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - Zihang Yin
- Sheng Yushou Center of Cell Biology and Immunology, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Ya Guo
- Sheng Yushou Center of Cell Biology and Immunology, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Huihua Ding
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhizhong Ye
- Shenzhen Futian Hospital for Rheumatic Diseases, and Joint Research Laboratory for Rheumatology of Shenzhen University Health Science Center and Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, China, State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Center for Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, and Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
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Zhang Y, Zhang F, Gao Y, Wang M, Gao Y, Li H, Sun J, Wen C, Xie Z. Triptolide in the treatment of systemic lupus erythematosus - regulatory effects on miR-146a in B cell TLR7 signaling pathway in mice. Front Pharmacol 2022; 13:952775. [PMID: 36210830 PMCID: PMC9539794 DOI: 10.3389/fphar.2022.952775] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 08/29/2022] [Indexed: 12/02/2022] Open
Abstract
Objective: To clarify the mechanism of triptolide (TP) in alleviating the conditions underlying SLE. Methods: Eight-week-old MRL/lpr mice were randomly divided into a model group (n = 5), low-dose TP (TP-L) group (n = 5), and high-dose TP (TP-H) group (n = 5). Mice in these groups were gavaged with normal saline, low-dose TP solution, and high-dose TP solution for 8 weeks, respectively. The expression levels of anti-dsDNA, IgG, IgM, IgA, C3, C4, and CREA, BUN, ALT, AST, ALB, and ALP indexes in the serum of mice were detected. The proportion of CD19+CD138+B220− cells in the spleen and the pathological changes of kidney tissue in the mice were also evaluated. The possible signaling pathways and microRNA (miRNA) targets of TP in the treatment of SLE were analyzed using network pharmacology. The expressions of TLR7 mRNA and miR-146a in Raji cells (a B lymphocyte line) were detected using qPCR before and after intervention with a miR-146a inhibitor. The protein expression levels of TLR7, MyD88, p-IRAK1, and p-NF-κBp65 were detected using western blot analysis. Results: TP could significantly decrease the levels of ds-DNA and IgG, alleviate pathological injury in renal tissue, and upregulate miR-146a expression in the B cells of MRL/lpr mice without obvious liver and kidney toxicity. Network pharmacology analysis showed that TP could mainly regulate the Toll-like receptor signaling pathway, and NF-κB signaling pathway, among others. miRNA target prediction suggested that TP could regulate miRNAs such as miR-146a. In vitro cell experiments further confirmed that TP could significantly upregulate miR-146a expression and downregulate the expression of TLR7 mRNA and protein levels TLR7, MyD88, p-IRAK1, and p-NF-κBp65. After intervention with a miR-146a inhibitor, TP had no obvious inhibitory effects on TLR7, MyD88, p-IRAK1, and p-NF-κBp65 expression. Conclusion: TP may exert therapeutic effects on SLE by regulating miR-146a expression, inhibiting the TLR7/NF-κB signaling pathway, and affecting B cell activation.
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Affiliation(s)
- Yi Zhang
- School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - FengQi Zhang
- School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - YiNi Gao
- School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - MeiJiao Wang
- School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yan Gao
- School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - HaiChang Li
- School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jing Sun
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - ChengPing Wen
- School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
- *Correspondence: ChengPing Wen, ; ZhiJun Xie,
| | - ZhiJun Xie
- School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
- *Correspondence: ChengPing Wen, ; ZhiJun Xie,
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Harley ITW, Allison K, Scofield RH. Polygenic autoimmune disease risk alleles impacting B cell tolerance act in concert across shared molecular networks in mouse and in humans. Front Immunol 2022; 13:953439. [PMID: 36090990 PMCID: PMC9450536 DOI: 10.3389/fimmu.2022.953439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/19/2022] [Indexed: 11/23/2022] Open
Abstract
Most B cells produced in the bone marrow have some level of autoreactivity. Despite efforts of central tolerance to eliminate these cells, many escape to periphery, where in healthy individuals, they are rendered functionally non-responsive to restimulation through their antigen receptor via a process termed anergy. Broad repertoire autoreactivity may reflect the chances of generating autoreactivity by stochastic use of germline immunoglobulin gene segments or active mechanisms may select autoreactive cells during egress to the naïve peripheral B cell pool. Likewise, it is unclear why in some individuals autoreactive B cell clones become activated and drive pathophysiologic changes in autoimmune diseases. Both of these remain central questions in the study of the immune system(s). In most individuals, autoimmune diseases arise from complex interplay of genetic risk factors and environmental influences. Advances in genome sequencing and increased statistical power from large autoimmune disease cohorts has led to identification of more than 200 autoimmune disease risk loci. It has been observed that autoantibodies are detectable in the serum years to decades prior to the diagnosis of autoimmune disease. Thus, current models hold that genetic defects in the pathways that control autoreactive B cell tolerance set genetic liability thresholds across multiple autoimmune diseases. Despite the fact these seminal concepts were developed in animal (especially murine) models of autoimmune disease, some perceive a disconnect between human risk alleles and those identified in murine models of autoimmune disease. Here, we synthesize the current state of the art in our understanding of human risk alleles in two prototypical autoimmune diseases – systemic lupus erythematosus (SLE) and type 1 diabetes (T1D) along with spontaneous murine disease models. We compare these risk networks to those reported in murine models of these diseases, focusing on pathways relevant to anergy and central tolerance. We highlight some differences between murine and human environmental and genetic factors that may impact autoimmune disease development and expression and may, in turn, explain some of this discrepancy. Finally, we show that there is substantial overlap between the molecular networks that define these disease states across species. Our synthesis and analysis of the current state of the field are consistent with the idea that the same molecular networks are perturbed in murine and human autoimmune disease. Based on these analyses, we anticipate that murine autoimmune disease models will continue to yield novel insights into how best to diagnose, prognose, prevent and treat human autoimmune diseases.
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Affiliation(s)
- Isaac T. W. Harley
- Division of Rheumatology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, United States
- Human Immunology and Immunotherapy Initiative (HI3), Department of Immunology, University of Colorado School of Medicine, Aurora, CO, United States
- Rheumatology Section, Medicine Service, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States
- *Correspondence: Isaac T. W. Harley,
| | - Kristen Allison
- Division of Rheumatology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, United States
- Human Immunology and Immunotherapy Initiative (HI3), Department of Immunology, University of Colorado School of Medicine, Aurora, CO, United States
| | - R. Hal Scofield
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Arthritis & Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
- Medical/Research Service, US Department of Veterans Affairs Medical Center, Oklahoma City, OK, United States
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29
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A Controlled Community Study of Distress and Resilience in Women Diagnosed with Fibromyalgia and Systemic Lupus Erythematosus. J Clin Psychol Med Settings 2022:10.1007/s10880-022-09903-7. [PMID: 35995960 DOI: 10.1007/s10880-022-09903-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2022] [Indexed: 10/15/2022]
Abstract
This study examines psychological and physical influences on the distress and well-being of patients with chronic rheumatic diseases. The study aims were to (1) evaluate the relative contribution of objective disease activity and psychological factors on the wellbeing of patients with systemic lupus erythematosus (SLE); (2) to compare the psychological distress of SLE patients to fibromyalgia (FM) patients and healthy controls, and to (3) characterize subgroups of patients by performing cluster analysis using psychological variables. Participants were ascertained from closed forums and social media channels resulting in 41 women with a diagnosis of SLE, 47 with a diagnosis of FM, and 77 healthy controls (HC). Hierarchical linear regression for well-being of SLE patients found that most of the variance was accounted for by social support. Cluster analysis performed on the entire sample identified two clusters, a distressed group tending to Type D personality, anxiety and depression, low in well-being and social support, and a resilient group; the proportion of resilient individuals was highest in the HC intermediate in the SLE group and lowest in the FM group. The importance of psychological variables vs disease severity in these two rheumatic diseases for wellbeing is demonstrated by these results. The results suggest that psychological interventions that enhance the experience of social support in medical settings, might benefit patients with both diseases, and be of particular importance to the well-being of patients who are more distressed.
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30
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Mei X, Jin H, Zhao M, Lu Q. Association of Immune-Related Genetic and Epigenetic Alterations with Lupus Nephritis. KIDNEY DISEASES (BASEL, SWITZERLAND) 2022; 8:286-296. [PMID: 36157263 PMCID: PMC9386430 DOI: 10.1159/000524937] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 05/02/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND The familial clustering phenomenon together with environmental influences indicates the presence of a genetic and epigenetic predisposition to systematic lupus erythematosus (SLE). Interestingly, regarding lupus nephritis (LN), the worst complication of SLE, mortality, and morbidity were not consistent with SLE in relation to sexuality and ethnicity. SUMMARY Genetic and epigenetic alterations in LN include genes and noncoding RNAs that are involved in antigen-presenting, complements, immune cell infiltration, interferon pathways, and so on. Once genetic or epigenetic change occurs alone or simultaneously, they will promote the formation of immune complexes with autoantibodies that target various autoantigens, which results in inflammatory cytokines and autoreactive immune cells colonizing renal tissues and contributing to LN. KEY MESSAGES Making additional checks for immunopathology-related heredity and epigenetic factors may lead to a more holistic perspective of LN.
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Affiliation(s)
- Xiaole Mei
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immunological Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Hunan Key Laboratory of Medical Epigenomics, Department of Dermatology, Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Diagnosis and Treatment for Immune-related Skin Diseases, Chinese Academy of Medical Sciences, Changsha, China
| | - Hui Jin
- Hunan Key Laboratory of Medical Epigenomics, Department of Dermatology, Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Diagnosis and Treatment for Immune-related Skin Diseases, Chinese Academy of Medical Sciences, Changsha, China
| | - Ming Zhao
- Hunan Key Laboratory of Medical Epigenomics, Department of Dermatology, Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Diagnosis and Treatment for Immune-related Skin Diseases, Chinese Academy of Medical Sciences, Changsha, China
| | - Qianjin Lu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immunological Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Hunan Key Laboratory of Medical Epigenomics, Department of Dermatology, Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Diagnosis and Treatment for Immune-related Skin Diseases, Chinese Academy of Medical Sciences, Changsha, China
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Abstract
Obesity is a prevalent health risk by inducing chronic, low-grade inflammation and insulin resistance, in part from adipose tissue inflammation perpetuated by activated B cells and other resident immune cells. However, regulatory mechanisms controlling B-cell actions in adipose tissue remain poorly understood, limiting therapeutic innovations. MicroRNAs are potent regulators of immune cell dynamics through fine-tuning a network of downstream genes in multiple signaling pathways. In particular, miR-150 is crucial to B-cell development and suppresses obesity-associated inflammation via regulating adipose tissue B-cell function. Herein, we review the effect of microRNAs on B-cell development, activation, and function and highlight miR-150-regulated B-cell actions during obesity which modulate systemic inflammation and insulin resistance. In this way, we hope to promote translational discoveries that mitigate obesity-induced health risks by targeting microRNA-regulated B-cell actions.
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Ortíz-Fernández L, Martín J, Alarcón-Riquelme ME. A Summary on the Genetics of Systemic Lupus Erythematosus, Rheumatoid Arthritis, Systemic Sclerosis, and Sjögren's Syndrome. Clin Rev Allergy Immunol 2022; 64:392-411. [PMID: 35749015 DOI: 10.1007/s12016-022-08951-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2022] [Indexed: 11/03/2022]
Abstract
Systemic lupus erythematosus, systemic sclerosis, rheumatoid arthritis, and Sjögren's syndrome are four major autoimmune rheumatic diseases characterized by the presence of autoantibodies, caused by a dysregulation of the immune system that leads to a wide variety of clinical manifestations. These conditions present complex etiologies strongly influenced by multiple environmental and genetic factors. The human leukocyte antigen (HLA) region was the first locus identified to be associated and still represents the strongest susceptibility factor for each of these conditions, particularly the HLA class II genes, including DQA1, DQB1, and DRB1, but class I genes have also been associated. Over the last two decades, the genetic component of these disorders has been extensively investigated and hundreds of non-HLA risk genetic variants have been uncovered. Furthermore, it is widely accepted that autoimmune rheumatic diseases share molecular disease pathways, such as the interferon (IFN) type I pathways, which are reflected in a common genetic background. Some examples of well-known pleiotropic loci for autoimmune rheumatic diseases are the HLA region, DNASEL13, TNIP1, and IRF5, among others. The identification of the causal molecular mechanisms behind the genetic associations is still a challenge. However, recent advances have been achieved through mouse models and functional studies of the loci. Here, we provide an updated overview of the genetic architecture underlying these four autoimmune rheumatic diseases, with a special focus on the HLA region.
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Affiliation(s)
- Lourdes Ortíz-Fernández
- Institute of Parasitology and Biomedicine López-Neyra, CSIC, Parque Tecnológico de La Salud, 18016, Granada, Spain
| | - Javier Martín
- Institute of Parasitology and Biomedicine López-Neyra, CSIC, Parque Tecnológico de La Salud, 18016, Granada, Spain
| | - Marta E Alarcón-Riquelme
- GENYO. Center for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Av de la Ilustración 114, Parque Tecnológico de La Salud, 18016, Granada, Spain. .,Institute for Environmental Medicine, Karolinska Institutet, 171 77, Solna, Sweden.
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A Mutation in Endogenous saRNA miR-23a Influences Granulosa Cells Response to Oxidative Stress. Antioxidants (Basel) 2022; 11:antiox11061174. [PMID: 35740072 PMCID: PMC9219974 DOI: 10.3390/antiox11061174] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 05/30/2022] [Accepted: 06/10/2022] [Indexed: 12/04/2022] Open
Abstract
Phenotypes are the result of the interaction between the gene and the environment, so the response of individuals with different genotypes to an environment is variable. Here, we reported that a mutation in miR-23a influences granulosa cells (GCs) response to oxidative stress, a common mechanism of environmental factors affecting female reproduction. We showed that nuclear miR-23a is a pro-apoptotic miRNA in porcine GCs through the activation of the transcription and function of NORHA, a long non-coding RNA (lncRNA) induces GC apoptosis and responses to oxidative stress. Mechanistically, miR-23a acts as an endogenous small activating RNA (saRNA) to alter histone modifications of the NORHA promoter through the direct binding to its core promoter. A C > T mutation was identified at −398 nt of the miR-23a core promoter, which created a novel binding site for the transcription factor SMAD4 and recruited the transcription repressor SMAD4 to inhibit miR-23a transcription and function in GCs. Notably, g.−398C > T mutation in the miR-23a promoter reduced GCs response to oxidative stress. In addition, g.−398C > T mutation was significantly associated with sow fertility traits. In short, our findings preliminarily revealed the genetic basis of individual differences in the response to oxidative stress from the perspective of a single mutation and identified miR-23a as a candidate gene for the environmental adaptation to oxidative stress.
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34
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Systemic Lupus Erythematosus and Hereditary Coproporphyria: Two Different Entities Diagnosed by WES in the Same Patient. BIOMED RESEARCH INTERNATIONAL 2022; 2022:9096999. [PMID: 35669728 PMCID: PMC9167117 DOI: 10.1155/2022/9096999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/27/2022] [Accepted: 05/16/2022] [Indexed: 11/23/2022]
Abstract
Background Hereditary coproporphyria (HCP) is a rare autosomal dominant disorder caused by a partial deficiency of coproporphyrinogen III oxidase (CPOX), and systemic lupus erythematosus (SLE) is an autoimmune disease with a strong genetic predisposition. SLC7A7 (solute carrier family 7 member 7) may be associated with monogenic lupus disease; however, only 2 cases of concomitant HCP and SLE have been reported. Methods We report a 30-year-old woman with a six-year history of SLE presenting with abdominal pain, vomiting, dysuria, tachycardia, and hyponatremia. Whole exome sequencing (WES) and Sanger sequencing were carried out for the proband and members of her pedigree to detect the genetic background. The Gene Expression Omnibus (GEO) database was used to search the related gene expression profiles. Differentially expressed genes (DEGs) were identified using GEO2R. Result A novel heterozygous splicing mutation of CPOX (NM_000097): c.700+2 T > C (intron 2) was detected by WES in the proband, and it was considered likely pathogenic (PSV1+PM2). Sanger sequencing verified the heterozygous mutation of CPOX in the proband, although it was not detected in her father. WES also identified 62 other gene variants, especially two heterozygous variants in SLC7A7 (NM_001126106): c.250G > A (p. V84I) and c.625+1G > A (splicing). DEGs were detected from GSE51997, and the expression of CPOX was downregulated in SLE patients compared with normal controls (adj. P = 0.0071, logFC = −1.0975). Conclusion This study presents the first reported case of SLE coexisting with HCP in China; moreover, a novel splicing mutation of CPOX, i.e., c.700+2 T > C (intron 2), and two heterozygous mutations of SLC7A7 were reported. The simultaneous mutations of CPOX and SLC7A7 may explain the etiopathogenetic connections of HCP and SLE.
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35
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Zhou T, Zhu X, Ye Z, Wang YF, Yao C, Xu N, Zhou M, Ma J, Qin Y, Shen Y, Tang Y, Yin Z, Xu H, Zhang Y, Zang X, Ding H, Yang W, Guo Y, Harley JB, Namjou B, Kaufman KM, Kottyan LC, Weirauch MT, Hou G, Shen N. Lupus enhancer risk variant causes dysregulation of IRF8 through cooperative lncRNA and DNA methylation machinery. Nat Commun 2022; 13:1855. [PMID: 35388006 PMCID: PMC8987079 DOI: 10.1038/s41467-022-29514-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 03/21/2022] [Indexed: 02/06/2023] Open
Abstract
Despite strong evidence that human genetic variants affect the expression of many key transcription factors involved in autoimmune diseases, establishing biological links between non-coding risk variants and the gene targets they regulate remains a considerable challenge. Here, we combine genetic, epigenomic, and CRISPR activation approaches to screen for functional variants that regulate IRF8 expression. We demonstrate that the locus containing rs2280381 is a cell-type-specific enhancer for IRF8 that spatially interacts with the IRF8 promoter. Further, rs2280381 mediates IRF8 expression through enhancer RNA AC092723.1, which recruits TET1 to the IRF8 promoter regulating IRF8 expression by affecting methylation levels. The alleles of rs2280381 modulate PU.1 binding and chromatin state to regulate AC092723.1 and IRF8 expression differentially. Our work illustrates an integrative strategy to define functional genetic variants that regulate the expression of critical genes in autoimmune diseases and decipher the mechanisms underlying the dysregulation of IRF8 expression mediated by lupus risk variants.
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Affiliation(s)
- Tian Zhou
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China ,grid.16821.3c0000 0004 0368 8293State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200032 China ,Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, 518040 China
| | - Xinyi Zhu
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China
| | - Zhizhong Ye
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, 518040 China
| | - Yong-Fei Wang
- grid.194645.b0000000121742757Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, 999077 China
| | - Chao Yao
- grid.9227.e0000000119573309Shanghai 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
| | - Ning Xu
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China
| | - Mi Zhou
- grid.16821.3c0000 0004 0368 8293Sheng 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
| | - Jianyang Ma
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China
| | - Yuting Qin
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China
| | - Yiwei Shen
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China
| | - Yuanjia Tang
- grid.16821.3c0000 0004 0368 8293Shanghai 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
| | - Hong Xu
- grid.16821.3c0000 0004 0368 8293Department of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200127 China ,grid.16821.3c0000 0004 0368 8293Shanghai Key Laboratory of Gynecologic Oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200127 China
| | - Yutong Zhang
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China
| | - Xiaoli Zang
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China
| | - Huihua Ding
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China
| | - Wanling Yang
- grid.194645.b0000000121742757Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, 999077 China
| | - Ya Guo
- grid.16821.3c0000 0004 0368 8293Sheng 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
| | - John B. Harley
- grid.413848.20000 0004 0420 2128US Department of Veterans Affairs Medical Center, Cincinnati, OH 45229 USA
| | - Bahram Namjou
- grid.239573.90000 0000 9025 8099Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA
| | - Kenneth M. Kaufman
- grid.239573.90000 0000 9025 8099Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA ,grid.239573.90000 0000 9025 8099Division of Immunobiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA ,grid.24827.3b0000 0001 2179 9593Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229 USA
| | - Leah C. Kottyan
- grid.239573.90000 0000 9025 8099Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA ,grid.24827.3b0000 0001 2179 9593Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229 USA ,grid.239573.90000 0000 9025 8099Division of Allergy and Immunology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA
| | - Matthew T. Weirauch
- grid.239573.90000 0000 9025 8099Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA ,grid.24827.3b0000 0001 2179 9593Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229 USA ,grid.239573.90000 0000 9025 8099Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA ,grid.239573.90000 0000 9025 8099Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA
| | - Guojun Hou
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China ,grid.16821.3c0000 0004 0368 8293State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200032 China ,Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, 518040 China
| | - Nan Shen
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200001 China ,grid.16821.3c0000 0004 0368 8293State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, 200032 China ,Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, 518040 China ,grid.239573.90000 0000 9025 8099Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA ,grid.24827.3b0000 0001 2179 9593Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229 USA
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Alsheikh AJ, Wollenhaupt S, King EA, Reeb J, Ghosh S, Stolzenburg LR, Tamim S, Lazar J, Davis JW, Jacob HJ. The landscape of GWAS validation; systematic review identifying 309 validated non-coding variants across 130 human diseases. BMC Med Genomics 2022; 15:74. [PMID: 35365203 PMCID: PMC8973751 DOI: 10.1186/s12920-022-01216-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 03/17/2022] [Indexed: 02/08/2023] Open
Abstract
Background The remarkable growth of genome-wide association studies (GWAS) has created a critical need to experimentally validate the disease-associated variants, 90% of which involve non-coding variants. Methods To determine how the field is addressing this urgent need, we performed a comprehensive literature review identifying 36,676 articles. These were reduced to 1454 articles through a set of filters using natural language processing and ontology-based text-mining. This was followed by manual curation and cross-referencing against the GWAS catalog, yielding a final set of 286 articles. Results We identified 309 experimentally validated non-coding GWAS variants, regulating 252 genes across 130 human disease traits. These variants covered a variety of regulatory mechanisms. Interestingly, 70% (215/309) acted through cis-regulatory elements, with the remaining through promoters (22%, 70/309) or non-coding RNAs (8%, 24/309). Several validation approaches were utilized in these studies, including gene expression (n = 272), transcription factor binding (n = 175), reporter assays (n = 171), in vivo models (n = 104), genome editing (n = 96) and chromatin interaction (n = 33). Conclusions This review of the literature is the first to systematically evaluate the status and the landscape of experimentation being used to validate non-coding GWAS-identified variants. Our results clearly underscore the multifaceted approach needed for experimental validation, have practical implications on variant prioritization and considerations of target gene nomination. While the field has a long way to go to validate the thousands of GWAS associations, we show that progress is being made and provide exemplars of validation studies covering a wide variety of mechanisms, target genes, and disease areas. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-022-01216-w.
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Affiliation(s)
- Ammar J Alsheikh
- Genomics Research Center, AbbVie Inc, North Chicago, Illinois, 60064, USA.
| | - Sabrina Wollenhaupt
- Information Research, AbbVie Deutschland GmbH & Co. KG, 67061, Knollstrasse, Ludwigshafen, Germany
| | - Emily A King
- Genomics Research Center, AbbVie Inc, North Chicago, Illinois, 60064, USA
| | - Jonas Reeb
- Information Research, AbbVie Deutschland GmbH & Co. KG, 67061, Knollstrasse, Ludwigshafen, Germany
| | - Sujana Ghosh
- Genomics Research Center, AbbVie Inc, North Chicago, Illinois, 60064, USA
| | | | - Saleh Tamim
- Genomics Research Center, AbbVie Inc, North Chicago, Illinois, 60064, USA
| | - Jozef Lazar
- Genomics Research Center, AbbVie Inc, North Chicago, Illinois, 60064, USA
| | - J Wade Davis
- Genomics Research Center, AbbVie Inc, North Chicago, Illinois, 60064, USA
| | - Howard J Jacob
- Genomics Research Center, AbbVie Inc, North Chicago, Illinois, 60064, USA
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Wang Y, Wang Y, Chen Y, Hua Y, Xu L, Zhu M, Zhao C, Zhang W, Sheng G, Liu L, Jiang P, Yuan Z, Zhao Z, Gao F. Circulating MicroRNAs From Plasma Small Extracellular Vesicles as Potential Diagnostic Biomarkers in Pediatric Epilepsy and Drug-Resistant Epilepsy. Front Mol Neurosci 2022; 15:823802. [PMID: 35221916 PMCID: PMC8866954 DOI: 10.3389/fnmol.2022.823802] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 01/06/2022] [Indexed: 12/12/2022] Open
Abstract
Pediatric epilepsy is a neurological condition that causes repeated and unprovoked seizures and is more common in 1–5-year-old children. Drug resistance has been indicated as a key challenge in improving the clinical outcomes of patients with pediatric epilepsy. In the present study, we aimed to identify plasma small extracellular vesicles (sEVs) derived microRNAs (miRNAs) from the plasma samples of children for predicting the prognosis in patients with epilepsy and drug-resistant epilepsy. A total of 90 children clinically diagnosed with epilepsy [46 antiepileptic drug (AED)-responsive epilepsy and 44 drug-resistant epilepsy] and 37 healthy controls (HCs) were enrolled in this study. RNA sequencing was performed to identify plasma sEVs derived miRNAs isolated from the children’s plasma samples. Differentially expressed plasma sEVs derived miRNAs were identified using bioinformatics tools and were further validated by reverse transcription-polymerase chain reaction and receiver operator characteristic (ROC) curve analysis. In the present study, 6 miRNAs (hsa-miR-125b-5p, hsa-miR-150-3p, hsa-miR-199a-3p, hsa-miR-584-5p hsa-miR-199a-5p, and hsa-miR-342-5p) were selected for further validation. hsa-miR-584-5p, hsa-miR-342-5p, and hsa-miR-150-5p with area under curve (AUC) values of 0.846, 0.835, and 0.826, respectively, were identified as promising biomarkers of epilepsy. A logistic model combining three miRNAs (hsa-miR-584-5p, hsa-miR-342-5p, and hsa-miR-199a-3p) could achieve an AUC of 0.883 and a six miRNAs model (hsa-miR-342-5p, hsa-miR-584-5p, hsa-miR-150-5p, hsa-miR-125b-5p, hsa-miR-199a-3p, and hsa-miR-199a-5p) could attain an AUC of 0.888. The predicted probability of multiple miRNA panels was evaluated for differentiating between drug-resistant children and drug-responsive children. The AUC of a six-miRNA panel (hsa-miR-342-5p, hsa-miR-584-5p, hsa-miR-150-5p, hsa-miR-125b-5p, hsa-miR-199a-3p, and hsa-miR-199a-5p) reached 0.823. We identified and confirmed plasma sEVs derived miRNA biomarkers that could be considered as potential therapeutic targets for pediatric epilepsy and drug-resistant epilepsy.
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Affiliation(s)
- Yilong Wang
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yeping Wang
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Chen
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Hua
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lu Xu
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mengying Zhu
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Congying Zhao
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weiran Zhang
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guoxia Sheng
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Liu Liu
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peifang Jiang
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhefeng Yuan
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhengyan Zhao
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Zhengyan Zhao,
| | - Feng Gao
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Feng Gao,
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Li MY, Zhao C, Chen L, Yao FY, Zhong FM, Chen Y, Xu S, Jiang JY, Yang YL, Min QH, Lin J, Zhang HB, Liu J, Wang XZ, Huang B. Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients. Front Oncol 2022; 11:779567. [PMID: 34993140 PMCID: PMC8724304 DOI: 10.3389/fonc.2021.779567] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 11/30/2021] [Indexed: 12/26/2022] Open
Abstract
Background Imatinib (IM), a tyrosine kinase inhibitor (TKI), has markedly improved the survival and life quality of chronic myeloid leukemia (CML) patients. However, the lack of specific biomarkers for IM resistance remains a serious clinical challenge. Recently, growing evidence has suggested that exosome-harbored proteins were involved in tumor drug resistance and could be novel biomarkers for the diagnosis and drug sensitivity prediction of cancer. Therefore, we aimed to investigate the proteomic profile of plasma exosomes derived from CML patients to identify ideal biomarkers for IM resistance. Methods We extracted exosomes from pooled plasma samples of 9 imatinib-resistant CML patients and 9 imatinib-sensitive CML patients by ultracentrifugation. Then, we identified the expression levels of exosomal proteins by liquid chromatography-tandem mass spectrometry (LC-MS/MS) based label free quantification. Bioinformatics analyses were used to analyze the proteomic data. Finally, the western blot (WB) and parallel reaction monitoring (PRM) analyses were applied to validate the candidate proteins. Results A total of 2812 proteins were identified in plasma exosomes from imatinib-resistant and imatinib-sensitive CML patients, including 279 differentially expressed proteins (DEPs) with restricted criteria (fold change≥1.5 or ≤0.667, p<0.05). Compared with imatinib-sensitive CML patients, 151 proteins were up-regulated and 128 proteins were down-regulated. Bioinformatics analyses revealed that the main function of the upregulated proteins was regulation of protein synthesis, while the downregulated proteins were mainly involved in lipid metabolism. The top 20 hub genes were obtained using STRING and Cytoscape, most of which were components of ribosomes. Moreover, we found that RPL13 and RPL14 exhibited exceptional upregulation in imatinib-resistant CML patients, which were further confirmed by PRM and WB. Conclusion Proteomic analysis of plasma exosomes provides new ideas and important information for the study of IM resistance in CML. Especially the exosomal proteins (RPL13 and RPL14), which may have great potential as biomarkers of IM resistance.
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Affiliation(s)
- Mei-Yong Li
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Cui Zhao
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Huanggang Central Hospital Affiliated to Changjiang University, Huanggang, China
| | - Lian Chen
- Department of Ultrasound, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Fang-Yi Yao
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Fang-Min Zhong
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ying Chen
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Shuai Xu
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jun-Yao Jiang
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yu-Lin Yang
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qing-Hua Min
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jin Lin
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Hai-Bin Zhang
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jing Liu
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiao-Zhong Wang
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Bo Huang
- Jiangxi Province Key Laboratory of Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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Manou-Stathopoulou S, Lewis MJ. Diversity of NF-κB signalling and inflammatory heterogeneity in Rheumatic Autoimmune Disease. Semin Immunol 2021; 58:101649. [PMID: 36064646 DOI: 10.1016/j.smim.2022.101649] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Systemic Autoimmune Rheumatic Diseases, including Rheumatoid Arthritis, Systemic Lupus Erythematosus and Sjogren's syndrome, are characterised by a loss of immune tolerance and chronic inflammation. There is marked heterogeneity in clinical and molecular phenotypes in each condition, and the aetiology of these is unclear. NF-κB is an inducible transcription factor that is critical in the physiological inflammatory response, and which has been implicated in chronic inflammation. Genome-wide association studies have linked risk alleles related to the NF-κB pathway to the pathogenesis of multiple Systemic Autoimmune Rheumatic Diseases. This review describes how cell- and pathway-specific NF-κB activation contribute to the spectrum of clinical phenotypes and molecular pathotypes in rheumatic disease. Potential clinical applications are explored, including therapeutic interventions and utilisation of NF-κB as a biomarker of disease subtypes and treatment response.
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Affiliation(s)
- Sotiria Manou-Stathopoulou
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London, School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Myles J Lewis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London, School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
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Zhang LL, Wu XX, Wang XF, Di DS, Huang Q, Liu RS, Shuai ZW, Ye DQ, Leng RX. Genetic variant in microRNA-146a gene is associated with risk of rheumatoid arthritis. Ann Med 2021; 53:824-829. [PMID: 34060972 PMCID: PMC8172213 DOI: 10.1080/07853890.2021.1933163] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To investigated the association between single nucleotide polymorphisms (SNPs) in microRNA-146a (miR-146a) gene and susceptibility of rheumatoid arthritis (RA). METHODS We systemically extracted the genetic data of miR-146a from previous genome-wide association studies (GWASs) of RA. Subsequently, we performed a replication study in an independent Chinese cohort for selected variant. A meta-analysis combined the previous GWASs with the replication study was also conducted. The epigenetic annotation and cytokine assay were used for exploring potential variant function. RESULTS The extracted genetic association data from three previous GWASs showed that the allele T of functional SNP rs2431697 increased RA susceptibility. The significant association for the SNP was also found in the Chinese replication cohort (OR = 1.24, 95% CI = 1.06-1.46, p = 8.69E-03). The estimated effect size for this SNP was larger in Asian population than that in European population (Asian meta-analysis: OR = 1.15, 95% CI = 1.09-1.22, p = 4.37E-07; Tran-ethnic meta-analysis: OR = 1.07, 95% CI = 1.04-1.10, p = 1.79E-06). The cytokine assay also showed that the risk allele T of the SNP rs2431697 is inversely associated with plasma TNF-α levels in health controls (p = .016). CONCLUSIONS In summary, this study supports that genetic variant in miR-146a gene is associated with RA risk.KEY MESSAGESThe association between SNPs in miR-146a gene and susceptibility of RA was unclear.We investigated the genetic association using GWASs data and a replication study.The SNP rs2431697 in miR-146a gene is associated with RA risk.
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Affiliation(s)
- Lin-Lin Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Xiao-Xiao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Xu-Fan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Dong-Sheng Di
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Qian Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Rui-Shan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, the First Affiliated Hospital of Anhui Medical University, Hefei, PR China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
| | - Rui-Xue Leng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, PR China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, PR China
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Ha E, Bae SC, Kim K. Recent advances in understanding the genetic basis of systemic lupus erythematosus. Semin Immunopathol 2021; 44:29-46. [PMID: 34731289 DOI: 10.1007/s00281-021-00900-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/14/2021] [Indexed: 12/22/2022]
Abstract
Systemic lupus erythematosus (SLE) is a polygenic chronic autoimmune disease leading to multiple organ damage. A large heritability of up to 66% is estimated in SLE, with roughly 180 reported susceptibility loci that have been identified mostly by genome-wide association studies (GWASs) and account for approximately 30% of genetic heritability. A vast majority of risk variants reside in non-coding regions, which makes it quite challenging to interpret their functional implications in the SLE-affected immune system, suggesting the importance of understanding cell type-specific epigenetic regulation around SLE GWAS variants. The latest genetic studies have been highly fruitful as several dozens of SLE loci were newly discovered in the last few years and many loci have come to be understood in systemic approaches integrating GWAS signals with other biological resources. In this review, we summarize SLE-associated genetic variants in both the major histocompatibility complex (MHC) and non-MHC loci, examining polygenetic risk scores for SLE and their associations with clinical features. Finally, variant-driven pathogenetic functions underlying genetic associations are described, coupled with discussion about challenges and future directions in genetic studies on SLE.
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Affiliation(s)
- Eunji Ha
- Department of Biology, Kyung Hee University, Seoul, Republic of Korea.,Department of Biomedical and Pharmaceutical Sciences, Kyung Hee University, Seoul, Republic of Korea
| | - Sang-Cheol Bae
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Republic of Korea. .,Hanyang University Institute for Rheumatology Research, Seoul, Republic of Korea.
| | - Kwangwoo Kim
- Department of Biology, Kyung Hee University, Seoul, Republic of Korea. .,Department of Biomedical and Pharmaceutical Sciences, Kyung Hee University, Seoul, Republic of Korea.
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Functional interrogation of autoimmune disease genetics using CRISPR/Cas9 technologies and massively parallel reporter assays. Semin Immunopathol 2021; 44:137-147. [PMID: 34508276 PMCID: PMC8837574 DOI: 10.1007/s00281-021-00887-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/13/2021] [Indexed: 02/07/2023]
Abstract
Genetic studies, including genome-wide association studies, have identified many common variants that are associated with autoimmune diseases. Strikingly, in addition to being frequently observed in healthy individuals, a number of these variants are shared across diseases with diverse clinical presentations. This highlights the potential for improved autoimmune disease understanding which could be achieved by characterising the mechanism by which variants lead to increased risk of disease. Of particular interest is the potential for identifying novel drug targets or of repositioning drugs currently used in other diseases. The majority of autoimmune disease variants do not alter coding regions and it is often difficult to generate a plausible hypothetical mechanism by which variants affect disease-relevant genes and pathways. Given the interest in this area, considerable effort has been invested in developing and applying appropriate methodologies. Two of the most important technologies in this space include both low- and high-throughput genomic perturbation using the CRISPR/Cas9 system and massively parallel reporter assays. In this review, we introduce the field of autoimmune disease functional genomics and use numerous examples to demonstrate the recent and potential future impact of these technologies.
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Wu YH, Kuo CF, Hsieh AH, Hsieh HL, Chan YF, Hwang TL. Upregulation of miR-210-5p impairs dead cell clearance by macrophages through the inhibition of Sp1-and HSCARG-dependent NADPH oxidase pathway. Free Radic Biol Med 2021; 172:441-450. [PMID: 34197940 DOI: 10.1016/j.freeradbiomed.2021.06.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/23/2021] [Accepted: 06/26/2021] [Indexed: 12/11/2022]
Abstract
The deficiency of dead cell clearance is a prominent pathogenic factor in systemic lupus erythematosus (SLE). In this study, the overexpression of miR-210-5p resulted in the accumulation of secondary necrotic cells (SNECs) in macrophages through the reduction of protein degradation. The upreguation of miR-210-5p inhibited NADPH oxidase (NOX) activation, reactive oxygen species (ROS) generation, and SNEC clearance. miR-210-5p overexpression suppressed Sp1 and HSCARG expression, and the knockdown of SP1 and HSCARG inhibited NOX expression and superoxide production in macrophages. Furthermore, patients with active SLE expressed a higher level of miR-210-5p and lower expression of SP1 and HSCARG in peripheral blood mononuclear cells. In summary, our findings indicate that the upregulation of miR-210-5p increases the accumulation of SNECs through a decrease in the Sp1-and HSCARG-mediated NOX activity and ROS generation in macrophages. Our results also suggest that targeting miR-210-5p may have therapeutic potential for SLE.
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Affiliation(s)
- Yi-Hsuan Wu
- Research Center for Chinese Herbal Medicine, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, 333, Taiwan.
| | - Chang-Fu Kuo
- Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan; School of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
| | - Ao-Ho Hsieh
- Division of Rheumatology, Allergy and Immunology, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Hsi-Lung Hsieh
- Research Center for Chinese Herbal Medicine, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, 333, Taiwan; Department of Nursing, Division of Basic Medical Sciences, Chang Gung University of Science and Technology, Taoyuan, 333, Taiwan; Department of Neurology, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan; Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, 333, Taiwan
| | - Yen-Fan Chan
- Research Center for Chinese Herbal Medicine, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, 333, Taiwan
| | - Tsong-Long Hwang
- Research Center for Chinese Herbal Medicine, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, 333, Taiwan; Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, 333, Taiwan; Graduate Institute of Natural Products, College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan; Department of Anesthesiology, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan; Department of Chemical Engineering, Ming Chi University of Technology, New Taipei City, 243, Taiwan.
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Lange M, Begolli R, Giakountis A. Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine. Noncoding RNA 2021; 7:47. [PMID: 34449663 PMCID: PMC8395730 DOI: 10.3390/ncrna7030047] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/26/2021] [Accepted: 08/01/2021] [Indexed: 12/11/2022] Open
Abstract
The cancer genome is characterized by extensive variability, in the form of Single Nucleotide Polymorphisms (SNPs) or structural variations such as Copy Number Alterations (CNAs) across wider genomic areas. At the molecular level, most SNPs and/or CNAs reside in non-coding sequences, ultimately affecting the regulation of oncogenes and/or tumor-suppressors in a cancer-specific manner. Notably, inherited non-coding variants can predispose for cancer decades prior to disease onset. Furthermore, accumulation of additional non-coding driver mutations during progression of the disease, gives rise to genomic instability, acting as the driving force of neoplastic development and malignant evolution. Therefore, detection and characterization of such mutations can improve risk assessment for healthy carriers and expand the diagnostic and therapeutic toolbox for the patient. This review focuses on functional variants that reside in transcribed or not transcribed non-coding regions of the cancer genome and presents a collection of appropriate state-of-the-art methodologies to study them.
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Affiliation(s)
- Marios Lange
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece; (M.L.); (R.B.)
| | - Rodiola Begolli
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece; (M.L.); (R.B.)
| | - Antonis Giakountis
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece; (M.L.); (R.B.)
- Institute for Fundamental Biomedical Research, B.S.R.C “Alexander Fleming”, 34 Fleming Str., 16672 Vari, Greece
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Jin H, Zhao M, Lu Q. Hidden mysteries behind genome, epigenome, and exposome of lupus erythematosus. Trends Mol Med 2021; 27:839-843. [PMID: 34226151 DOI: 10.1016/j.molmed.2021.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 06/02/2021] [Accepted: 06/07/2021] [Indexed: 11/25/2022]
Abstract
As an extremely heterogeneous disease, lupus erythematosus (LE) occurs when a genetically susceptible individual encounters specific environmental triggers. Epigenetics bridges genetics and environment and helps explain their interactions. Comprehensively understanding the hidden mysteries behind the genome, epigenome, and exposome of lupus could contribute to precision prevention and treatment of lupus.
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Affiliation(s)
- Hui Jin
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Ming Zhao
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China.
| | - Qianjin Lu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China; Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, Jiangsu 210042, China.
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Schell SL, Rahman ZSM. miRNA-Mediated Control of B Cell Responses in Immunity and SLE. Front Immunol 2021; 12:683710. [PMID: 34079558 PMCID: PMC8165268 DOI: 10.3389/fimmu.2021.683710] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 05/04/2021] [Indexed: 12/11/2022] Open
Abstract
Loss of B cell tolerance is central to autoimmune diseases such as systemic lupus erythematosus (SLE). As such, the mechanisms involved in B cell development, maturation, activation, and function that are aberrantly regulated in SLE are of interest in the design of targeted therapeutics. While many factors are involved in the generation and regulation of B cell responses, miRNAs have emerged as critical regulators of these responses within the last decade. To date, miRNA involvement in B cell responses has largely been studied in non-autoimmune, immunization-based systems. However, miRNA profiles have also been strongly associated with SLE in human patients and these molecules have proven critical in both the promotion and regulation of disease in mouse models and in the formation of autoreactive B cell responses. Functionally, miRNAs are small non-coding RNAs that bind to complementary sequences located in target mRNA transcripts to mediate transcript degradation or translational repression, invoking a post-transcriptional level of genetic regulation. Due to their capacity to target a diverse range of transcripts and pathways in different immune cell types and throughout the various stages of development and response, targeting miRNAs is an interesting potential therapeutic avenue. Herein, we focus on what is currently known about miRNA function in both normal and SLE B cell responses, primarily highlighting miRNAs with confirmed functions in mouse models. We also discuss areas that should be addressed in future studies and whether the development of miRNA-centric therapeutics may be a viable alternative for the treatment of SLE.
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Affiliation(s)
- Stephanie L Schell
- Department of Microbiology and Immunology, Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - Ziaur S M Rahman
- Department of Microbiology and Immunology, Pennsylvania State University College of Medicine, Hershey, PA, United States
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