Literature DB >> 28725948

Genomics and epigenomics in rheumatic diseases: what do they provide in terms of diagnosis and disease management?

Patricia Castro-Santos1, Roberto Díaz-Peña2,3.   

Abstract

Most rheumatic diseases are complex or multifactorial entities with pathogeneses that interact with both multiple genetic factors and a high number of diverse environmental factors. Knowledge of the human genome sequence and its diversity among populations has provided a crucial step forward in our understanding of genetic diseases, identifying many genetic loci or genes associated with diverse phenotypes. In general, susceptibility to autoimmunity is associated with multiple risk factors, but the mechanism of the environmental component influence is poorly understood. Studies in twins have demonstrated that genetics do not explain the totality of the pathogenesis of rheumatic diseases. One method of modulating gene expression through environmental effects is via epigenetic modifications. These techniques open a new field for identifying useful new biomarkers and therapeutic targets. In this context, the development of "-omics" techniques is an opportunity to progress in our knowledge of complex diseases, impacting the discovery of new potential biomarkers suitable for their introduction into clinical practice. In this review, we focus on the recent advances in the fields of genomics and epigenomics in rheumatic diseases and their potential to be useful for the diagnosis, follow-up, and treatment of these diseases. The ultimate aim of genomic studies in any human disease is to understand its pathogenesis, thereby enabling the prediction of the evolution of the disease to establish new treatments and address the development of personalized therapies.

Entities:  

Keywords:  Biomarker; Diagnosis; Epigenetics; Epigenomics; Genomics; Rheumatic diseases

Mesh:

Substances:

Year:  2017        PMID: 28725948     DOI: 10.1007/s10067-017-3744-0

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


  105 in total

1.  Mycophenolic acid upregulates miR-142-3P/5P and miR-146a in lupus CD4+T cells.

Authors:  Q Tang; Y Yang; M Zhao; G Liang; H Wu; Q Liu; Y Xie; D Li; Y Dai; S Yung; T M Chan; Q Lu
Journal:  Lupus       Date:  2015-02-06       Impact factor: 2.911

Review 2.  Genetic insights into common pathways and complex relationships among immune-mediated diseases.

Authors:  Miles Parkes; Adrian Cortes; David A van Heel; Matthew A Brown
Journal:  Nat Rev Genet       Date:  2013-08-06       Impact factor: 53.242

3.  DNA methylation and mRNA and microRNA expression of SLE CD4+ T cells correlate with disease phenotype.

Authors:  Ming Zhao; Siyang Liu; Shuangyan Luo; Honglong Wu; Meini Tang; Wenjing Cheng; Qing Zhang; Peng Zhang; Xinhai Yu; Yudong Xia; Na Yi; Fei Gao; Li Wang; Susan Yung; Tak Mao Chan; Amr H Sawalha; Bruce Richardson; M Eric Gershwin; Ning Li; Qianjin Lu
Journal:  J Autoimmun       Date:  2014-08-03       Impact factor: 7.094

4.  New sequence variants in HLA class II/III region associated with susceptibility to knee osteoarthritis identified by genome-wide association study.

Authors:  Masahiro Nakajima; Atsushi Takahashi; Ikuyo Kou; Cristina Rodriguez-Fontenla; Juan J Gomez-Reino; Tatsuya Furuichi; Jin Dai; Akihiro Sudo; Atsumasa Uchida; Naoshi Fukui; Michiaki Kubo; Naoyuki Kamatani; Tatsuhiko Tsunoda; Konstantinos N Malizos; Aspasia Tsezou; Antonio Gonzalez; Yusuke Nakamura; Shiro Ikegawa
Journal:  PLoS One       Date:  2010-03-18       Impact factor: 3.240

5.  Protein phosphatase 2A enables expression of interleukin 17 (IL-17) through chromatin remodeling.

Authors:  Sokratis A Apostolidis; Thomas Rauen; Christian M Hedrich; George C Tsokos; José C Crispín
Journal:  J Biol Chem       Date:  2013-08-05       Impact factor: 5.157

6.  Abnormal histone modification patterns in lupus CD4+ T cells.

Authors:  Nan Hu; Xiangning Qiu; Yongqi Luo; Jun Yuan; Yaping Li; Wenzhi Lei; Guiying Zhang; Ying Zhou; Yuwen Su; Qianjin Lu
Journal:  J Rheumatol       Date:  2008-04-01       Impact factor: 4.666

Review 7.  Biomarkers in rheumatology, now and in the future.

Authors:  David S Gibson; Madeleine E Rooney; Sorcha Finnegan; Ji Qiu; David C Thompson; Joshua Labaer; Stephen R Pennington; Mark W Duncan
Journal:  Rheumatology (Oxford)       Date:  2011-12-16       Impact factor: 7.580

8.  Histone deacetylase inhibitors suppress rheumatoid arthritis fibroblast-like synoviocyte and macrophage IL-6 production by accelerating mRNA decay.

Authors:  Aleksander M Grabiec; Olexandr Korchynskyi; Paul P Tak; Kris A Reedquist
Journal:  Ann Rheum Dis       Date:  2011-09-27       Impact factor: 19.103

9.  Dense genotyping of immune-related susceptibility loci reveals new insights into the genetics of psoriatic arthritis.

Authors:  John Bowes; Ashley Budu-Aggrey; Ulrike Huffmeier; Steffen Uebe; Kathryn Steel; Harry L Hebert; Chris Wallace; Jonathan Massey; Ian N Bruce; James Bluett; Marie Feletar; Ann W Morgan; Helena Marzo-Ortega; Gary Donohoe; Derek W Morris; Philip Helliwell; Anthony W Ryan; David Kane; Richard B Warren; Eleanor Korendowych; Gerd-Marie Alenius; Emiliano Giardina; Jonathan Packham; Ross McManus; Oliver FitzGerald; Neil McHugh; Matthew A Brown; Pauline Ho; Frank Behrens; Harald Burkhardt; Andre Reis; Anne Barton
Journal:  Nat Commun       Date:  2015-02-05       Impact factor: 14.919

10.  MicroRNA Profiling of B Cell Subsets from Systemic Lupus Erythematosus Patients Reveals Promising Novel Biomarkers.

Authors:  Isabelle Duroux-Richard; Jimena Cuenca; Clara Ponsolles; Alejandro Badilla Piñeiro; Fernando Gonzalez; Christine Roubert; Roser Areny; Rosa Chea; Jacqueline Pefaur; Yves-Marie Pers; Fernando E Figueroa; Christian Jorgensen; Maroun Khoury; Florence Apparailly
Journal:  Int J Mol Sci       Date:  2015-07-27       Impact factor: 5.923

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  1 in total

1.  Epigenome-wide cross-tissue correlation of human bone and blood DNA methylation - can blood be used as a surrogate for bone?

Authors:  Parvaneh Ebrahimi; Holger Luthman; Fiona E McGuigan; Kristina E Akesson
Journal:  Epigenetics       Date:  2020-07-21       Impact factor: 4.528

  1 in total

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