Literature DB >> 31371305

Inflammatory cytokines shape a changing DNA methylome in monocytes mirroring disease activity in rheumatoid arthritis.

Javier Rodríguez-Ubreva1,2, Carlos de la Calle-Fabregat1,2, Tianlu Li1,2, Laura Ciudad1,2, Maria L Ballestar3, Francesc Català-Moll1,2, Octavio Morante-Palacios1,2, Antonio Garcia-Gomez1,2, Raquel Celis4, Frances Humby5, Alessandra Nerviani5, Javier Martin6, Costantino Pitzalis5, Juan D Cañete4, Esteban Ballestar7,2.   

Abstract

OBJECTIVE: Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease that mainly targets joints. Monocytes and macrophages are critical in RA pathogenesis and contribute to inflammatory lesions. These extremely plastic cells respond to extracellular signals which cause epigenomic changes that define their pathogenic phenotype. Here, we interrogated how DNA methylation alterations in RA monocytes are determined by extracellular signals.
METHODS: High-throughput DNA methylation analyses of patients with RA and controls and in vitro cytokine stimulation were used to investigate the underlying mechanisms behind DNA methylation alterations in RA as well as their relationship with clinical parameters, including RA disease activity.
RESULTS: The DNA methylomes of peripheral blood monocytes displayed significant changes and increased variability in patients with RA with respect to healthy controls. Changes in the monocyte methylome correlate with DAS28, in which high-activity patients are divergent from healthy controls in contrast to remission patients whose methylome is virtually identical to healthy controls. Indeed, the notion of a changing monocyte methylome is supported after comparing the profiles of same individuals at different stages of activity. We show how these changes are mediated by an increase in disease activity-associated cytokines, such as tumour necrosis factor alpha and interferons, as they recapitulate the DNA methylation changes observed in patients in vitro.
CONCLUSION: We demonstrate a direct link between RA disease activity and the monocyte methylome through the action of inflammation-associated cytokines. Finally, we have obtained a DNA methylation-based mathematical formula that predicts inflammation-mediated disease activity for RA and other chronic immune-mediated inflammatory diseases. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  DAS28; DNA methylation; TNFa; disease activity; rheumatoid arthritis

Mesh:

Substances:

Year:  2019        PMID: 31371305     DOI: 10.1136/annrheumdis-2019-215355

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  19 in total

1.  Differential DNA Methylation of Networked Signaling, Transcriptional, Innate and Adaptive Immunity, and Osteoclastogenesis Genes and Pathways in Gout.

Authors:  Zengmiao Wang; Ying Zhao; Amanda Phipps-Green; Ru Liu-Bryan; Arnoldas Ceponis; David L Boyle; Jun Wang; Tony R Merriman; Wei Wang; Robert Terkeltaub
Journal:  Arthritis Rheumatol       Date:  2020-03-23       Impact factor: 10.995

2.  Central Role for Adipocyte Na,K-ATPase Oxidant Amplification Loop in the Pathogenesis of Experimental Uremic Cardiomyopathy.

Authors:  Komal Sodhi; Xiaoliang Wang; Muhammad Aslam Chaudhry; Hari Vishal Lakhani; Mishghan Zehra; Rebecca Pratt; Athar Nawab; Cameron L Cottrill; Brian Snoad; Fang Bai; James Denvir; Jiang Liu; Juan R Sanabria; Zijian Xie; Nader G Abraham; Joseph I Shapiro
Journal:  J Am Soc Nephrol       Date:  2020-06-25       Impact factor: 10.121

Review 3.  Clinical value of DNA methylation markers in autoimmune rheumatic diseases.

Authors:  Esteban Ballestar; Amr H Sawalha; Qianjin Lu
Journal:  Nat Rev Rheumatol       Date:  2020-08-05       Impact factor: 20.543

Review 4.  Epigenomic and transcriptomic analysis of chronic inflammatory diseases.

Authors:  Sabrina Ka Man Tam; Danny Chi Yeu Leung
Journal:  Genes Genomics       Date:  2021-02-27       Impact factor: 1.839

Review 5.  Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Authors:  Rohan Gupta; Devesh Srivastava; Mehar Sahu; Swati Tiwari; Rashmi K Ambasta; Pravir Kumar
Journal:  Mol Divers       Date:  2021-04-12       Impact factor: 3.364

6.  Chromatin accessibility landscapes of immune cells in rheumatoid arthritis nominate monocytes in disease pathogenesis.

Authors:  Dandan Zong; Beibei Huang; Young Li; Yichen Lu; Nan Xiang; Chuang Guo; Qian Liu; Qing Sha; Pengcheng Du; Qiaoni Yu; Wen Zhang; Pengfei Cai; Yanping Sun; Jinhui Tao; Xiaomei Li; Shanbao Cai; Kun Qu
Journal:  BMC Biol       Date:  2021-04-16       Impact factor: 7.431

7.  Splicing machinery is impaired in rheumatoid arthritis, associated with disease activity and modulated by anti-TNF therapy.

Authors:  Alejandro Ibáñez-Costa; Carlos Perez-Sanchez; Alejandra María Patiño-Trives; Maria Luque-Tevar; Pilar Font; Ivan Arias de la Rosa; Cristobal Roman-Rodriguez; Mª Carmen Abalos-Aguilera; Carmen Conde; Antonio Gonzalez; Sergio Pedraza-Arevalo; Mercedes Del Rio-Moreno; Ricardo Blazquez-Encinas; Pedro Segui; Jerusalem Calvo; Rafaela Ortega Castro; Alejandro Escudero-Contreras; Nuria Barbarroja; Mª Angeles Aguirre; Justo P Castaño; Raul M Luque; Eduardo Collantes-Estevez; Chary Lopez-Pedrera
Journal:  Ann Rheum Dis       Date:  2021-10-08       Impact factor: 19.103

8.  Epigenome association study for DNA methylation biomarkers in buccal and monocyte cells for female rheumatoid arthritis.

Authors:  Gary Craig; Howard Kenney; Eric E Nilsson; Ingrid Sadler-Riggleman; Daniel Beck; Michael K Skinner
Journal:  Sci Rep       Date:  2021-12-10       Impact factor: 4.379

9.  Si Miao San Attenuates Inflammation and Oxidative Stress in Rats with CIA via the Modulation of the Nrf2/ARE/PTEN Pathway.

Authors:  Pan Shen; Yao Huang; Xin Ba; Weiji Lin; Kai Qin; Hui Wang; Maotao Du; Ying Haung; Yu Wang; Zhe Chen; Shenghao Tu
Journal:  Evid Based Complement Alternat Med       Date:  2021-02-10       Impact factor: 2.629

10.  BiLSTM-5mC: A Bidirectional Long Short-Term Memory-Based Approach for Predicting 5-Methylcytosine Sites in Genome-Wide DNA Promoters.

Authors:  Xin Cheng; Jun Wang; Qianyue Li; Taigang Liu
Journal:  Molecules       Date:  2021-12-07       Impact factor: 4.411

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