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Jiang F, Hu SY, Tian W, Wang NN, Yang N, Dong SS, Song HM, Zhang DJ, Gao HW, Wang C, Wu H, He CY, Zhu DL, Chen XF, Guo Y, Yang Z, Yang TL. A landscape of gene expression regulation for synovium in arthritis. Nat Commun 2024; 15:1409. [PMID: 38360850 PMCID: PMC10869817 DOI: 10.1038/s41467-024-45652-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 01/29/2024] [Indexed: 02/17/2024] Open
Abstract
The synovium is an important component of any synovial joint and is the major target tissue of inflammatory arthritis. However, the multi-omics landscape of synovium required for functional inference is absent from large-scale resources. Here we integrate genomics with transcriptomics and chromatin accessibility features of human synovium in up to 245 arthritic patients, to characterize the landscape of genetic regulation on gene expression and the regulatory mechanisms mediating arthritic diseases predisposition. We identify 4765 independent primary and 616 secondary cis-expression quantitative trait loci (cis-eQTLs) in the synovium and find that the eQTLs with multiple independent signals have stronger effects and heritability than single independent eQTLs. Integration of genome-wide association studies (GWASs) and eQTLs identifies 84 arthritis related genes, revealing 38 novel genes which have not been reported by previous studies using eQTL data from the GTEx project or immune cells. We further develop a method called eQTac to identify variants that could affect gene expression by affecting chromatin accessibility and identify 1517 regions with potential regulatory function of chromatin accessibility. Altogether, our study provides a comprehensive synovium multi-omics resource for arthritic diseases and gains new insights into the regulation of gene expression.
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Affiliation(s)
- Feng Jiang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Shou-Ye Hu
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, P.R. China
| | - Wen Tian
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Nai-Ning Wang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Ning Yang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Shan-Shan Dong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Hui-Miao Song
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Da-Jin Zhang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Hui-Wu Gao
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Chen Wang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Hao Wu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Chang-Yi He
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Dong-Li Zhu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Xiao-Feng Chen
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Yan Guo
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Zhi Yang
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, P.R. China.
| | - Tie-Lin Yang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China.
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Xu L, Wang Z, Wang G. Screening of Biomarkers Associated with Osteoarthritis Aging Genes and Immune Correlation Studies. Int J Gen Med 2024; 17:205-224. [PMID: 38268862 PMCID: PMC10807283 DOI: 10.2147/ijgm.s447035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/10/2024] [Indexed: 01/26/2024] Open
Abstract
Purpose Osteoarthritis (OA) is a joint disease with a long and slow course, which is one of the major causes of disability in middle and old-aged people. This study was dedicated to excavating the cellular senescence-associated biomarkers of OA. Methods The Gene Expression Omnibus (GEO) database was searched and five datasets pertaining to OA were obtained. After removing the batch effect, the GSE55235, GSE55457, GSE82107, and GSE12021 datasets were integrated together for screening of the candidate genes by differential analysis and weighted gene co-expression network analysis (WGCNA). Next, those genes were further filtered by machine learning algorithms to obtain cellular senescence-associated biomarkers of OA. Subsequently, enrichment analyses based on those biomarkers were conducted, and we profiled the infiltration levels of 22 types immune cells with the ERSORT algorithm. A lncRNA-miRNA-mRNA regulatory and drug-gene network were constructed. Finally, we validated the senescence-associated biomarkers at both in vivo and in vitro levels. Results Five genes (BCL6, MCL1, SLC16A7, PIM1, and EPHA3) were authenticated as cellular senescence-associated biomarkers in OA. ROC curves demonstrated the reliable capacity of the five genes as a whole to discriminate OA samples from normal samples. The nomogram diagnostic model based on 5 genes proved to be a reliable predictor of OA. Single-gene GSEA results pointed to the involvement of the five biomarkers in immune-related pathways and oxidative phosphorylation in the development of OA. Immune infiltration analysis manifested that the five genes were significantly correlated with differential immune cells. Subsequently, a lncRNA-miRNA-mRNA network and gene-drug network containing were generated based on five cellular senescence-associated biomarkers in OA. Conclusion A foundation for understanding the pathophysiology of OA and new insights into OA diagnosis and treatment were provided by the identification of five genes, namely BCL6, MCL1, SLC16A7, PIM1, and EPHA3, as biomarkers associated with cellular senescence in OA.
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Affiliation(s)
- Lanwei Xu
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People’s Republic of China
- Department of Hand and Foot Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People’s Republic of China
| | - Zheng Wang
- Department of Neurosurgery, Liaocheng Traditional Chinese Medicine Hospital, Liaocheng, 252000, People’s Republic of China
| | - Gang Wang
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People’s Republic of China
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De Re V, Lopci E, Brisotto G, Elia C, Mussolin L, Mascarin M, d’Amore ESG. Preliminary Study of the Relationship between Osteopontin and Relapsed Hodgkin's Lymphoma. Biomedicines 2023; 12:31. [PMID: 38275392 PMCID: PMC10813762 DOI: 10.3390/biomedicines12010031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 01/27/2024] Open
Abstract
The primary objective of this study was to investigate the potential role of tissue osteopontin, also known as secreted phosphoprotein 1 (SPP1), as a contributing factor to an unfavorable prognosis in classical Hodgkin's lymphoma (HL) patients who received the same treatment protocol. The study involved 44 patients aged 4-22 years, with a median follow-up period of 3 years. Patients with higher levels of SPP1 were associated with tissue necrosis and inflammation, and there was a trend toward a poorer prognosis in this group. Before therapy, we found a correlation between positron emission tomography (PET) scans and logarithmic SPP1 levels (p = 0.035). However, the addition of SPP1 levels did not significantly enhance the predictive capacity of PET scans for recurrence or progression. Elevated SPP levels were associated with tissue mRNA counts of chemotactic and inflammatory chemokines, as well as specific monocyte/dendritic cell subtypes, defined by IL-17RB, PLAUR, CXCL8, CD1A, CCL13, TREM1, and CCL24 markers. These findings contribute to a better understanding of the potential factors influencing the prognosis of HL patients and the potential role of SPP1 in the disease. While the predictive accuracy of PET scans did not substantially improve during the study, the results underscore the complexity of HL and highlight the relationships between SPP1 and other factors in the context of HL relapse.
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Affiliation(s)
- Valli De Re
- Immunopatologia e Biomarcatori Oncologici, CRO Aviano, National Cancer Institute, Istituto di Ricovero e Cura a Carattere Scientifico, IRCCS, 33081 Aviano, Italy
| | - Egesta Lopci
- Nuclear Medicine Unit, IRCCS—Humanitas Research Hospital, Rozzano, 20089 Milano, Italy
| | - Giulia Brisotto
- Immunopatologia e Biomarcatori Oncologici, CRO Aviano, National Cancer Institute, Istituto di Ricovero e Cura a Carattere Scientifico, IRCCS, 33081 Aviano, Italy
| | - Caterina Elia
- AYA Oncology and Pediatric Radiotherapy Unit, CRO Aviano, National Cancer Institute, Istituto di Ricovero e Cura a Carattere Scientifico, IRCCS, 33081 Aviano, Italy
| | - Lara Mussolin
- Pediatric Hemato-Oncology Unit, Department of Women’s and Children’s Health, University of Padua, 35122 Padua, Italy
- Clinica di Oncoematologia Pediatrica, Azienda Ospedaliera—Università di Padova, 35128 Padova, Italy
| | - Maurizio Mascarin
- AYA Oncology and Pediatric Radiotherapy Unit, CRO Aviano, National Cancer Institute, Istituto di Ricovero e Cura a Carattere Scientifico, IRCCS, 33081 Aviano, Italy
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Zhao F, He Y, Zhao Z, He J, Huang H, Ai K, Liu L, Cai X. The Notch signaling-regulated angiogenesis in rheumatoid arthritis: pathogenic mechanisms and therapeutic potentials. Front Immunol 2023; 14:1272133. [PMID: 38022508 PMCID: PMC10643158 DOI: 10.3389/fimmu.2023.1272133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Angiogenesis plays a key role in the pathological process of inflammation and invasion of the synovium, and primarily drives the progression of rheumatoid arthritis (RA). Recent studies have demonstrated that the Notch signaling may represent a new therapeutic target of RA. Although the Notch signaling has been implicated in the M1 polarization of macrophages and the differentiation of lymphocytes, little is known about its role in angiogenesis in RA. In this review, we discourse the unique roles of stromal cells and adipokines in the angiogenic progression of RA, and investigate how epigenetic regulation of the Notch signaling influences angiogenesis in RA. We also discuss the interaction of the Notch-HIF signaling in RA's angiogenesis and the potential strategies targeting the Notch signaling to improve the treatment outcomes of RA. Taken together, we further suggest new insights into future research regarding the challenges in the therapeutic strategies of RA.
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Affiliation(s)
- Fang Zhao
- Department of Rheumatology of The First Hospital and Institute of Innovation and Applied Research in Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China
| | - Yini He
- Department of Rheumatology of The First Hospital and Institute of Innovation and Applied Research in Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Zhihao Zhao
- Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, Liaoning, China
| | - Jiarong He
- Department of Neurosurgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hong Huang
- Department of Rheumatology of The First Hospital and Institute of Innovation and Applied Research in Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Kelong Ai
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China
| | - Liang Liu
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The 2nd Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Xiong Cai
- Department of Rheumatology of The First Hospital and Institute of Innovation and Applied Research in Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
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Wang Z, Zhang J, An F, Zhang J, Meng X, Liu S, Xia R, Wang G, Yan C. The mechanism of dendritic cell-T cell crosstalk in rheumatoid arthritis. Arthritis Res Ther 2023; 25:193. [PMID: 37798668 PMCID: PMC10552435 DOI: 10.1186/s13075-023-03159-8] [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: 06/09/2023] [Accepted: 08/31/2023] [Indexed: 10/07/2023] Open
Abstract
Rheumatoid arthritis (RA) is a chronic inflammatory disease characterised by joint pain and swelling, synovial hyperplasia, cartilage damage, and bone destruction. The mechanisms of dendritic cell (DC) and T cell-mediated crosstalk have gradually become a focus of attention. DCs regulate the proliferation and differentiation of CD4+ T cell subtypes through different cytokines, surface molecules, and antigen presentation. DC-T cell crosstalk also blocks antigen presentation by DCs, ultimately maintaining immune tolerance. DC-T cell crosstalk mainly involves chemokines, surface molecules (TonEBP, NFATc1), the PD-L1/PD-1 signalling axis, and the TGF-β signalling axis. In addition, DC-T cell crosstalk in RA is affected by glycolysis, reactive oxygen species, vitamin D, and other factors. These factors lead to the formation of an extremely complex regulatory network involving various mechanisms. This article reviews the key immune targets of DC-T cell crosstalk and elucidates the mechanism of DC-T cell crosstalk in RA to provide a basis for the treatment of patients with RA.
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Affiliation(s)
- Zhandong Wang
- School of Traditional Chinese and Western Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China
| | - Jinlong Zhang
- The First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China
| | - Fangyu An
- Teaching Experiment Training Center, Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China
| | - Jie Zhang
- School of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China
| | - Xiangrui Meng
- The First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China
| | - Shiqing Liu
- School of Traditional Chinese and Western Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China
| | - Ruoliu Xia
- The First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China
| | - Gang Wang
- Rheumatism and Orthopaedics Department, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China.
| | - Chunlu Yan
- School of Traditional Chinese and Western Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China.
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Dong G, Gao H, Chen Y, Yang H. Machine learning and bioinformatics analysis to identify autophagy-related biomarkers in peripheral blood for rheumatoid arthritis. Front Genet 2023; 14:1238407. [PMID: 37779906 PMCID: PMC10533932 DOI: 10.3389/fgene.2023.1238407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 08/31/2023] [Indexed: 10/03/2023] Open
Abstract
Background: Although rheumatoid arthritis (RA) is a common autoimmune disease, the precise pathogenesis of the disease remains unclear. Recent research has unraveled the role of autophagy in the development of RA. This research aims to explore autophagy-related diagnostic biomarkers in the peripheral blood of RA patients. Methods: The gene expression profiles of GSE17755 were retrieved from the gene expression ontology (GEO) database. Differentially expressed autophagy-related genes (DE-ARGs) were identified for the subsequent research by inserting autophagy-related genes and differentially expressed genes (DEGs). Three machine learning algorithms, including random forest, support vector machine recursive feature elimination (SVM-RFE), and least absolute shrinkage and selection operator (LASSO), were employed to identify diagnostic biomarkers. A nomogram model was constructed to assess the diagnostic value of the biomarkers. The CIBERSORT algorithm was performed to investigate the correlation of the diagnostic biomarkers with immune cells and immune factors. Finally, the diagnostic efficacy and differential expression trend of diagnostic biomarkers were validated in multiple cohorts containing different tissues and diseases. Results: In this study, 25 DE-ARGs were identified between RA and healthy individuals. In addition to "macroautophagy" and "autophagy-animal," DE-ARGs were also associated with several types of programmed cell death and immune-related pathways according to GO and KEGG analysis. Three diagnostic biomarkers, EEF2, HSP90AB1 and TNFSF10, were identified by the random forest, SVM-RFE, and LASSO. The nomogram model demonstrated excellent diagnostic value in GSE17755 (AUC = 0.995, 95% CI: 0.988-0.999). Furthermore, immune infiltration analysis showed a remarkable association between EEF2, HSP90AB1, and TNFSF10 expression with various immune cells and immune factors. The three diagnostic biomarkers also exhibited good diagnostic efficacy and demonstrated the same trend of differential expression in multiple validation cohorts. Conclusion: This study identified autophagy-related diagnostic biomarkers based on three machine learning algorithms, providing promising targets for the diagnosis and treatment of RA.
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Affiliation(s)
| | | | | | - Huayuan Yang
- School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Aoki M, Jin ZW, Ueda K, Kamimura G, Takeda-Harada A, Murakami G, Sato M. Localization of macrophages and dendritic cells in human thoracic lymph nodes: An immunohistochemical study using surgically obtained specimens. J Anat 2023; 243:504-516. [PMID: 37024113 PMCID: PMC10439373 DOI: 10.1111/joa.13870] [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: 11/29/2022] [Revised: 03/15/2023] [Accepted: 03/15/2023] [Indexed: 04/08/2023] Open
Abstract
Both dendritic cells (DCs) and macrophages are bone marrow-derived cells that perform antigen presentation. The distribution of DCs and CD68-positive macrophages were immunohistochemically examined in 103 thoracic nodes obtained from 23 lung cancer patients (50-84 years old) without metastasis. Among three antibodies tested initially-CD209/DCsign, fascin, and CD83-DCsign was chosen as the DC marker. For comparison, 137 nodes from 12 patients with cancer metastasis were also examined histologically. In patients without metastasis, DCs were found as (1) clusters along the subcapsular sinus and in a border area between the medullary sinus and cortex (mean sectional area of multiple nodes at one site, 8.4%) and, (2) rosette-like structures in the cortex (mean number in multiple nodes at one site, 20.5). Notably, DC clusters and rosettes contained no or few macrophages and were surrounded by smooth muscle actin (SMA)-positive, endothelium-like cells. The subcapsular linear cluster corresponded to 5%-85% (mean, 34.0%) of the nodal circumferential length and was shorter in older patients (p = 0.009). DC rosettes, solitary, or communicating with a cluster, were usually connected to a paracortical lymph sinus. Few differences were found between nodes with or without metastasis, but DC cluster sometimes contained abundant macrophages in cancer metastasis patients. The subcapsular DC cluster is not known in the rodent model, in which the subcapsular sinus is filled with macrophages. This quite different, even complementary, distribution suggests no, or less, cooperation between DCs and macrophages in humans.
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Affiliation(s)
- Masaya Aoki
- Department of General Thoracic Surgery, Kagoshima University School of Medicine, Kagoshima, Japan
| | - Zhe-Wu Jin
- Department of Anatomy, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Kazuhiro Ueda
- Department of General Thoracic Surgery, Kagoshima University School of Medicine, Kagoshima, Japan
| | - Go Kamimura
- Department of General Thoracic Surgery, Kagoshima University School of Medicine, Kagoshima, Japan
| | - Aya Takeda-Harada
- Department of General Thoracic Surgery, Kagoshima University School of Medicine, Kagoshima, Japan
| | - Gen Murakami
- Department of Anatomy, Tokyo Dental College, Tokyo, Japan
| | - Masami Sato
- Department of General Thoracic Surgery, Kagoshima University School of Medicine, Kagoshima, Japan
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Mantel I, Fein MR, Donlin LT. Emerging synovial cell states in rheumatoid arthritis as potential therapeutic targets. Curr Opin Rheumatol 2023; 35:249-254. [PMID: 37040654 PMCID: PMC10219846 DOI: 10.1097/bor.0000000000000940] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
PURPOSE OF REVIEW To summarize recently discovered novel cell states in rheumatoid arthritis (RA) synovium that could have important implications for disease treatment. RECENT FINDINGS The use of multiomic technologies, including single-cell and spatial transcriptomics and mass cytometry, has led to the discovery of several novel cell states, which could have important implications for the treatment of RA. These cells can be found in patient blood, synovial fluid, or synovial tissue and span several immune cell subsets as well as stromal cell types. These diverse cell states may represent the targets of current or future therapeutics, while their fluctuations may inform the ideal timing for therapy. Future efforts are needed to implicate how each cell state functions in the pathophysiologic network within affected joints and how medications perturb each cell state and ultimately the tissue. SUMMARY Multiomic molecular technologies have afforded the discovery of numerous novel cellular states in RA synovium; the next challenge will be to link these states to pathophysiology and treatment response.
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Affiliation(s)
- Ian Mantel
- Weill Cornell Medicine Graduate School
- Hospital for Special Surgery Research Institute, New York, New York, USA
| | - Miriam R Fein
- Hospital for Special Surgery Research Institute, New York, New York, USA
| | - Laura T Donlin
- Weill Cornell Medicine Graduate School
- Hospital for Special Surgery Research Institute, New York, New York, USA
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ElGindi M, Sapudom J, Garcia Sabate A, Chesney Quartey B, Alatoom A, Al-Sayegh M, Li R, Chen W, Teo J. Effects of an aged tissue niche on the immune potency of dendritic cells using simulated microgravity. NPJ AGING 2023; 9:14. [PMID: 37393393 DOI: 10.1038/s41514-023-00111-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 05/18/2023] [Indexed: 07/03/2023]
Abstract
Microgravity accelerates the aging of various physiological systems, and it is well acknowledged that aged individuals and astronauts both have increased susceptibility to infections and poor response to vaccination. Immunologically, dendritic cells (DCs) are the key players in linking innate and adaptive immune responses. Their distinct and optimized differentiation and maturation phases play a critical role in presenting antigens and mounting effective lymphocyte responses for long-term immunity. Despite their importance, no studies to date have effectively investigated the effects of microgravity on DCs in their native microenvironment, which is primarily located within tissues. Here, we address a significantly outstanding research gap by examining the effects of simulated microgravity via a random positioning machine on both immature and mature DCs cultured in biomimetic collagen hydrogels, a surrogate for tissue matrices. Furthermore, we explored the effects of loose and dense tissues via differences in collagen concentration. Under these various environmental conditions, the DC phenotype was characterized using surface markers, cytokines, function, and transcriptomic profiles. Our data indicate that aged or loose tissue and exposure to RPM-induced simulated microgravity both independently alter the immunogenicity of immature and mature DCs. Interestingly, cells cultured in denser matrices experience fewer effects of simulated microgravity at the transcriptome level. Our findings are a step forward to better facilitate healthier future space travel and enhance our understanding of the aging immune system on Earth.
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Affiliation(s)
- Mei ElGindi
- Laboratory for Immuno Bioengineering Research and Applications, Division of Engineering, New York University Abu Dhabi, Abu Dhabi, PO Box 129188, United Arab Emirates
| | - Jiranuwat Sapudom
- Laboratory for Immuno Bioengineering Research and Applications, Division of Engineering, New York University Abu Dhabi, Abu Dhabi, PO Box 129188, United Arab Emirates
| | - Anna Garcia Sabate
- Laboratory for Immuno Bioengineering Research and Applications, Division of Engineering, New York University Abu Dhabi, Abu Dhabi, PO Box 129188, United Arab Emirates
| | - Brian Chesney Quartey
- Laboratory for Immuno Bioengineering Research and Applications, Division of Engineering, New York University Abu Dhabi, Abu Dhabi, PO Box 129188, United Arab Emirates
| | - Aseel Alatoom
- Laboratory for Immuno Bioengineering Research and Applications, Division of Engineering, New York University Abu Dhabi, Abu Dhabi, PO Box 129188, United Arab Emirates
| | - Mohamed Al-Sayegh
- Biology Division, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates
| | - Rui Li
- Department of Biomedical Engineering, New York University, 6 MetroTech Center, Brooklyn, NY, 11201, USA
| | - Weiqiang Chen
- Department of Biomedical Engineering, New York University, 6 MetroTech Center, Brooklyn, NY, 11201, USA
- Department of Mechanical and Aerospace Engineering, New York University, 6 MetroTech Center, Brooklyn, NY, 11201, USA
| | - Jeremy Teo
- Laboratory for Immuno Bioengineering Research and Applications, Division of Engineering, New York University Abu Dhabi, Abu Dhabi, PO Box 129188, United Arab Emirates.
- Department of Biomedical Engineering, New York University, 6 MetroTech Center, Brooklyn, NY, 11201, USA.
- Department of Mechanical and Aerospace Engineering, New York University, 6 MetroTech Center, Brooklyn, NY, 11201, USA.
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Azuaga AB, Ramírez J, Cañete JD. Psoriatic Arthritis: Pathogenesis and Targeted Therapies. Int J Mol Sci 2023; 24:4901. [PMID: 36902329 PMCID: PMC10003101 DOI: 10.3390/ijms24054901] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/06/2023] Open
Abstract
Psoriatic arthritis (PsA), a heterogeneous chronic inflammatory immune-mediated disease characterized by musculoskeletal inflammation (arthritis, enthesitis, spondylitis, and dactylitis), generally occurs in patients with psoriasis. PsA is also associated with uveitis and inflammatory bowel disease (Crohn's disease and ulcerative colitis). To capture these manifestations as well as the associated comorbidities, and to recognize their underlining common pathogenesis, the name of psoriatic disease was coined. The pathogenesis of PsA is complex and multifaceted, with an interplay of genetic predisposition, triggering environmental factors, and activation of the innate and adaptive immune system, although autoinflammation has also been implicated. Research has identified several immune-inflammatory pathways defined by cytokines (IL-23/IL-17, TNF), leading to the development of efficacious therapeutic targets. However, heterogeneous responses to these drugs occur in different patients and in the different tissues involved, resulting in a challenge to the global management of the disease. Therefore, more translational research is necessary in order to identify new targets and improve current disease outcomes. Hopefully, this may become a reality through the integration of different omics technologies that allow better understanding of the relevant cellular and molecular players of the different tissues and manifestations of the disease. In this narrative review, we aim to provide an updated overview of the pathophysiology, including the latest findings from multiomics studies, and to describe current targeted therapies.
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Affiliation(s)
- Ana Belén Azuaga
- Rheumatology Department, Hospital Clinic and IDIBAPS of Barcelona, 08036 Barcelona, Spain
| | | | - Juan D. Cañete
- Rheumatology Department, Hospital Clinic and IDIBAPS of Barcelona, 08036 Barcelona, Spain
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11
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Sardana Y, Bhatti GK, Singh C, Sharma PK, Reddy PH, Bhatti JS. Progression of pre-rheumatoid arthritis to clinical disease of joints: Potential role of mesenchymal stem cells. Life Sci 2023; 321:121641. [PMID: 36997059 DOI: 10.1016/j.lfs.2023.121641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/16/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023]
Abstract
Rheumatoid arthritis (RA) related autoimmunity is developed at mucosal sites due to the interplay between genetic risk factors and environmental triggers. The pre-RA phase that leads to anti-citrullinated protein antibodies, rheumatoid factor, and other autoantibodies spread in the systemic circulation may not affect articular tissue for years until a mysterious second hit triggers the localization of RA-related autoimmunity in joints. Several players in the joint microenvironment mediate the synovial innate and adaptive immunological processes, eventually leading to clinical synovitis. There still exists a gap in the early phase of RA pathogenesis, i.e., the progression of diseases from the systemic circulation to joints. The lack of better understanding of these events results in the inability to answer questions about why only after a certain point of time the disease appears in joints and why in some cases, it simply remains latent and doesn't affect joints at all. In the current review, we focused on the immunomodulatory and regenerative role of mesenchymal stem cells and associated exosomes in RA pathology. We also highlighted the age-related dysregulations in activities of mesenchymal stem cells and how that might trigger homing of systemic autoimmunity to joints.
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Affiliation(s)
- Yogesh Sardana
- Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, India
| | - Gurjit Kaur Bhatti
- Department of Medical Lab Technology, University Institute of Applied Health Sciences, Chandigarh University, Mohali, India
| | - Charan Singh
- Department of Pharmaceutical Sciences, Hemvati Nandan Bahuguna Garhwal University, Uttarakhand, India
| | | | - P Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Pharmacology and Neuroscience, Garrison Institute on Aging, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Public Health, Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Neurology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Speech, Language, and Hearing Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Nutritional Sciences Department, College of Human Sciences, Texas Tech University, 1301 Akron Ave, Lubbock, TX 79409, USA.
| | - Jasvinder Singh Bhatti
- Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, India.
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12
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Wirth T, Balandraud N, Boyer L, Lafforgue P, Pham T. Biomarkers in psoriatic arthritis: A meta-analysis and systematic review. Front Immunol 2022; 13:1054539. [PMID: 36532039 PMCID: PMC9749424 DOI: 10.3389/fimmu.2022.1054539] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/07/2022] [Indexed: 12/03/2022] Open
Abstract
Introduction Psoriatic arthritis (PsA) is a chronic inflammatory disease that frequently develops in patients with psoriasis (PsO) but can also occur spontaneously. As a result, PsA diagnosis and treatment is commonly delayed, or even missed outright due to the manifold of clinical presentations that patients often experience. This inevitably results in progressive articular damage to axial and peripheral joints and entheses. As such, patients with PsA frequently experience reduced expectancy and quality of life due to disability. More recently, research has aimed to improve PsA diagnosis and prognosis by identifying novel disease biomarkers. Methods Here, we conducted a systematic review of the published literature on candidate biomarkers for PsA diagnosis and prognosis in MEDLINE(Pubmed), EMBase and the Cochrane library with the goal to identify clinically applicable PsA biomarkers. Meta-analyses were performed when a diagnostic bone and cartilage turnover biomarker was reported in 2 or moredifferent cohorts of PsA and control. Results We identified 1444 publications and 124 studies met eligibility criteria. We highlighted bone and cartilage turnover biomarkers, genetic markers, and autoantibodies used for diagnostic purposes of PsA, as well as acute phase reactant markers and bone and cartilage turnover biomarkers for activity or prognostic severity purposes. Serum cartilage oligometrix metalloproteinase levels were significantly increased in the PsA sera compared to Healthy Control (HC) with a standardized mean difference (SMD) of 2.305 (95%CI 0.795-3.816, p=0.003) and compared to osteoarthritis (OA) with a SMD of 0.783 (95%CI 0.015-1.551, p=0.046). The pooled serum MMP-3 levels were significantly higher in PsA patients than in PsO patients with a SMD of 0.419 (95%CI 0.119-0.719; p=0.006), but no significant difference was highlighted when PsA were compared to HC. While we did not identify any new genetic biomarkers that would be useful in the diagnosis of PsA, recent data with autoantibodies appear to be promising in diagnosis, but no replication studies have been published. Conclusion In summary, no specific diagnostic biomarkers for PsA were identified and further studies are needed to assess the performance of potential biomarkers that can distinguish PsA from OA and other chronic inflammatory diseases.
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Affiliation(s)
- Theo Wirth
- Rheumatology Department, Sainte Marguerite Hospital, Aix-Marseille University, APHM, Marseille, France,*Correspondence: Theo Wirth,
| | - Nathalie Balandraud
- Rheumatology Department, Sainte Marguerite Hospital, Aix-Marseille University, APHM, Marseille, France,Autoimmune Arthritis Laboratory, INSERM UMRs1097, Aix Marseille University, Marseille, France
| | - Laurent Boyer
- School of Medicine, EA 3279, CEReSS, Research Center on Health Services and Quality of Life, Aix Marseille University, Marseille, France
| | - Pierre Lafforgue
- Rheumatology Department, Sainte Marguerite Hospital, Aix-Marseille University, APHM, Marseille, France
| | - Thao Pham
- Rheumatology Department, Sainte Marguerite Hospital, Aix-Marseille University, APHM, Marseille, France
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13
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Valli A, Kuuliala K, Virtanen A, Kuuliala A, Palmroth M, Peltomaa R, Vidqvist KL, Leirisalo-Repo M, Silvennoinen O, Isomäki P. Tofacitinib treatment modulates the levels of several inflammation-related plasma proteins in rheumatoid arthritis and baseline levels of soluble biomarkers associate with the treatment response. Clin Exp Immunol 2022; 210:141-150. [PMID: 36124688 PMCID: PMC9750823 DOI: 10.1093/cei/uxac085] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/18/2022] [Accepted: 09/15/2022] [Indexed: 01/12/2023] Open
Abstract
The data on the effects of tofacitinib on soluble proteins in patients with rheumatoid arthritis (RA) is currently very limited. We analyzed how tofacitinib treatment and thus inhibition of the Janus kinase-signal transducer and activation of transcription pathway affects the in vivo levels of inflammation-related plasma proteins in RA patients. In this study, 16 patients with active RA [28-joint disease activity score (DAS28) >3.2] despite treatment with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) started tofacitinib treatment 5 mg twice daily. Levels of 92 inflammation-related plasma proteins were determined by proximity extension assay at baseline and at 3 months. Tofacitinib treatment for 3 months, in csDMARD background, decreased the mean DAS28 from 4.4 to 2.6 (P < 0.001). Marked (>20%) and statistically significant (P < 0.05) changes were found in the levels of 21 proteins, 18 of which decreased and 3 increased. Of these proteins, 17 are directly involved in inflammatory responses or in the cellular response to cytokines. The highest (>50%) decrease was observed for interleukin-6 (IL-6), C-X-C motif chemokine ligand 1, matrix metalloproteinase-1, and AXIN1. Higher baseline levels of IL-6 and lower levels of C-C motif chemokine 11 and Delta and Notch-like epidermal growth factor-related receptors were associated with DAS28 improvement. Our results indicate that tofacitinib downregulates several proinflammatory plasma proteins that may contribute to the clinical efficacy of tofacitinib. In addition, soluble biomarkers may predict the treatment response to tofacitinib.
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Affiliation(s)
- Atte Valli
- Molecular Immunology Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Krista Kuuliala
- Department of Bacteriology and Immunology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anniina Virtanen
- Molecular Immunology Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Antti Kuuliala
- Department of Bacteriology and Immunology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Maaria Palmroth
- Molecular Immunology Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Ritva Peltomaa
- Inflammation Center, Department of Rheumatology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Marjatta Leirisalo-Repo
- Department of Bacteriology and Immunology, Faculty of Medicine, University of Helsinki, Helsinki, Finland,Inflammation Center, Department of Rheumatology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Olli Silvennoinen
- Molecular Immunology Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland,Fimlab Laboratories, Pirkanmaa Hospital District, Tampere, Tampere, Finland,Institute of Biotechnology, HiLIFE Helsinki Institute of Life Sciences, University of Helsinki, Helsinki, Finland
| | - Pia Isomäki
- Correspondence: Pia Isomäki, Department of Internal Medicine, Centre for Rheumatic Diseases, Tampere University Hospital, P.O. Box, 2000, FI-33521 Tampere, Finland.
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14
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Luo P, Wang P, Xu J, Hou W, Xu P, Xu K, Liu L. Immunomodulatory role of T helper cells in rheumatoid arthritis : a comprehensive research review. Bone Joint Res 2022; 11:426-438. [PMID: 35775145 PMCID: PMC9350707 DOI: 10.1302/2046-3758.117.bjr-2021-0594.r1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease that involves T and B cells and their reciprocal immune interactions with proinflammatory cytokines. T cells, an essential part of the immune system, play an important role in RA. T helper 1 (Th1) cells induce interferon-γ (IFN-γ), tumour necrosis factor-α (TNF-α), and interleukin (IL)-2, which are proinflammatory cytokines, leading to cartilage destruction and bone erosion. Th2 cells primarily secrete IL-4, IL-5, and IL-13, which exert anti-inflammatory and anti-osteoclastogenic effects in inflammatory arthritis models. IL-22 secreted by Th17 cells promotes the proliferation of synovial fibroblasts through induction of the chemokine C-C chemokine ligand 2 (CCL2). T follicular helper (Tfh) cells produce IL-21, which is key for B cell stimulation by the C-X-C chemokine receptor 5 (CXCR5) and coexpression with programmed cell death-1 (PD-1) and/or inducible T cell costimulator (ICOS). PD-1 inhibits T cell proliferation and cytokine production. In addition, there are many immunomodulatory agents that promote or inhibit the immunomodulatory role of T helper cells in RA to alleviate disease progression. These findings help to elucidate the aetiology and treatment of RA and point us toward the next steps. Cite this article: Bone Joint Res 2022;11(7):426–438.
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Affiliation(s)
- Pan Luo
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - Peixu Wang
- Department of Orthopedics, China-Japan Friendship Hospital, China-Japan Friendship Institute of Clinical Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Graduate School of Peking Union Medical College, Beijing, China
| | - Jiawen Xu
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
| | - Weikun Hou
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - Peng Xu
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - Ke Xu
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - Lin Liu
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China
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15
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Julià A, Gómez A, López-Lasanta M, Blanco F, Erra A, Fernández-Nebro A, Mas AJ, Pérez-García C, Vivar MLG, Sánchez-Fernández S, Alperi-López M, Sanmartí R, Ortiz AM, Fernandez-Cid CM, Díaz-Torné C, Moreno E, Li T, Martínez-Mateu SH, Absher DM, Myers RM, Molina JT, Marsal S. Longitudinal analysis of blood DNA methylation identifies mechanisms of response to tumor necrosis factor inhibitor therapy in rheumatoid arthritis. EBioMedicine 2022; 80:104053. [PMID: 35576644 PMCID: PMC9118662 DOI: 10.1016/j.ebiom.2022.104053] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 04/25/2022] [Accepted: 04/25/2022] [Indexed: 11/07/2022] Open
Abstract
Background Rheumatoid arthritis (RA) is a chronic, immune-mediated inflammatory disease of the joints that has been associated with variation in the peripheral blood methylome. In this study, we aim to identify epigenetic variation that is associated with the response to tumor necrosis factor inhibitor (TNFi) therapy. Methods Peripheral blood genome-wide DNA methylation profiles were analyzed in a discovery cohort of 62 RA patients at baseline and at week 12 of TNFi therapy. DNA methylation of individual CpG sites and enrichment of biological pathways were evaluated for their association with drug response. Using a novel cell deconvolution approach, altered DNA methylation associated with TNFi response was also tested in the six main immune cell types in blood. Validation of the results was performed in an independent longitudinal cohort of 60 RA patients. Findings Treatment with TNFi was associated with significant longitudinal peripheral blood methylation changes in biological pathways related to RA (FDR<0.05). 139 biological functions were modified by therapy, with methylation levels changing systematically towards a signature similar to that of healthy controls. Differences in the methylation profile of T cell activation and differentiation, GTPase-mediated signaling, and actin filament organization pathways were associated with the clinical response to therapy. Cell type deconvolution analysis identified CpG sites in CD4+T, NK, neutrophils and monocytes that were significantly associated with the response to TNFi. Interpretation Our results show that treatment with TNFi restores homeostatic blood methylation in RA. The clinical response to TNFi is associated to methylation variation in specific biological pathways, and it involves cells from both the innate and adaptive immune systems. Funding The Instituto de Salud Carlos III.
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Affiliation(s)
- Antonio Julià
- Rheumatology Research Group, Vall d'Hebron University Hospital Research Institute, Barcelona 08035, Spain.
| | - Antonio Gómez
- Rheumatology Research Group, Vall d'Hebron University Hospital Research Institute, Barcelona 08035, Spain
| | - María López-Lasanta
- Rheumatology Research Group, Vall d'Hebron University Hospital Research Institute, Barcelona 08035, Spain
| | - Francisco Blanco
- Rheumatology Department, INIBIC-Hospital Universitario A Coruña, A Coruña, Spain
| | - Alba Erra
- Rheumatology Research Group, Vall d'Hebron University Hospital Research Institute, Barcelona 08035, Spain; Rheumatology Department, Hospital de San Rafael, Barcelona, Spain
| | | | - Antonio Juan Mas
- Rheumatology Department, Hospital Universitario Son Llàtzer, Mallorca, Spain
| | | | | | | | | | - Raimon Sanmartí
- Rheumatology Department, Fundació Clínic Recerca Biomèdica, Barcelona, Spain
| | - Ana María Ortiz
- Rheumatology Department, Hospital Universitario La Princesa, Madrid, Spain
| | | | - César Díaz-Torné
- Rheumatology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Estefania Moreno
- Rheumatology Research Group, Vall d'Hebron University Hospital Research Institute, Barcelona 08035, Spain; Rheumatology Unit, Consorci Sanitari de l'Alt Penedès, Spain
| | - Tianlu Li
- Rheumatology Research Group, Vall d'Hebron University Hospital Research Institute, Barcelona 08035, Spain
| | - Sergio H Martínez-Mateu
- Rheumatology Research Group, Vall d'Hebron University Hospital Research Institute, Barcelona 08035, Spain
| | - Devin M Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
| | | | - Sara Marsal
- Rheumatology Research Group, Vall d'Hebron University Hospital Research Institute, Barcelona 08035, Spain.
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16
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Floudas A, Gorman A, Neto N, Monaghan MG, Elliott Z, Fearon U, Marzaioli V. Inside the Joint of Inflammatory Arthritis Patients: Handling and Processing of Synovial Tissue Biopsies for High Throughput Analysis. Front Med (Lausanne) 2022; 9:830998. [PMID: 35372383 PMCID: PMC8967180 DOI: 10.3389/fmed.2022.830998] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/04/2022] [Indexed: 11/16/2022] Open
Abstract
Inflammatory arthritis is a chronic systemic autoimmune disease of unknown etiology, which affects the joints. If untreated, these diseases can have a detrimental effect on the patient's quality of life, leading to disabilities, and therefore, exhibit a significant socioeconomic impact and burden. While studies of immune cell populations in arthritis patient's peripheral blood have been informative regarding potential immune cell dysfunction and possible patient stratification, there are considerable limitations in identifying the early events that lead to synovial inflammation. The joint, as the site of inflammation and the local microenvironment, exhibit unique characteristics that contribute to disease pathogenesis. Understanding the contribution of immune and stromal cell interactions within the inflamed joint has been met with several technical challenges. Additionally, the limited availability of synovial tissue biopsies is a key incentive for the utilization of high-throughput techniques in order to maximize information gain. This review aims to provide an overview of key methods and novel techniques that are used in the handling, processing and analysis of synovial tissue biopsies and the potential synergy between these techniques. Herein, we describe the utilization of high dimensionality flow cytometric analysis, single cell RNA sequencing, ex vivo functional assays and non-intrusive metabolic characterization of synovial cells on a single cell level based on fluorescent lifetime imaging microscopy. Additionally, we recommend important points of consideration regarding the effect of different storage and handling techniques on downstream analysis of synovial tissue samples. The introduction of new powerful techniques in the study of synovial tissue inflammation, brings new challenges but importantly, significant opportunities. Implementation of novel approaches will accelerate our path toward understanding of the mechanisms involved in the pathogenesis of inflammatory arthritis and lead to the identification of new avenues of therapeutic intervention.
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Affiliation(s)
- Achilleas Floudas
- Molecular Rheumatology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
- European League Against Rheumatism (EULAR) Centre of Excellence, Centre for Arthritis and Rheumatic Diseases, St. Vincent's University Hospital, University College Dublin (UCD), Dublin, Ireland
- *Correspondence: Achilleas Floudas
| | - Aine Gorman
- European League Against Rheumatism (EULAR) Centre of Excellence, Centre for Arthritis and Rheumatic Diseases, St. Vincent's University Hospital, University College Dublin (UCD), Dublin, Ireland
| | - Nuno Neto
- Trinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Michael G. Monaghan
- Trinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Zoe Elliott
- European League Against Rheumatism (EULAR) Centre of Excellence, Centre for Arthritis and Rheumatic Diseases, St. Vincent's University Hospital, University College Dublin (UCD), Dublin, Ireland
| | - Ursula Fearon
- Molecular Rheumatology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
- European League Against Rheumatism (EULAR) Centre of Excellence, Centre for Arthritis and Rheumatic Diseases, St. Vincent's University Hospital, University College Dublin (UCD), Dublin, Ireland
| | - Viviana Marzaioli
- Molecular Rheumatology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
- European League Against Rheumatism (EULAR) Centre of Excellence, Centre for Arthritis and Rheumatic Diseases, St. Vincent's University Hospital, University College Dublin (UCD), Dublin, Ireland
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