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Sahoo K, Sundararajan V. Methods in DNA methylation array dataset analysis: A review. Comput Struct Biotechnol J 2024; 23:2304-2325. [PMID: 38845821 PMCID: PMC11153885 DOI: 10.1016/j.csbj.2024.05.015] [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: 12/18/2023] [Revised: 04/25/2024] [Accepted: 05/08/2024] [Indexed: 06/09/2024] Open
Abstract
Understanding the intricate relationships between gene expression levels and epigenetic modifications in a genome is crucial to comprehending the pathogenic mechanisms of many diseases. With the advancement of DNA Methylome Profiling techniques, the emphasis on identifying Differentially Methylated Regions (DMRs/DMGs) has become crucial for biomarker discovery, offering new insights into the etiology of illnesses. This review surveys the current state of computational tools/algorithms for the analysis of microarray-based DNA methylation profiling datasets, focusing on key concepts underlying the diagnostic/prognostic CpG site extraction. It addresses methodological frameworks, algorithms, and pipelines employed by various authors, serving as a roadmap to address challenges and understand changing trends in the methodologies for analyzing array-based DNA methylation profiling datasets derived from diseased genomes. Additionally, it highlights the importance of integrating gene expression and methylation datasets for accurate biomarker identification, explores prognostic prediction models, and discusses molecular subtyping for disease classification. The review also emphasizes the contributions of machine learning, neural networks, and data mining to enhance diagnostic workflow development, thereby improving accuracy, precision, and robustness.
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Affiliation(s)
| | - Vino Sundararajan
- Correspondence to: Department of Bio Sciences, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India.
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2
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Soul J, Carlsson E, Hofmann SR, Russ S, Hawkes J, Schulze F, Sergon M, Pablik J, Abraham S, Hedrich CM. Tissue gene expression profiles and communication networks inform candidate blood biomarker identification in psoriasis and atopic dermatitis. Clin Immunol 2024; 265:110283. [PMID: 38880200 DOI: 10.1016/j.clim.2024.110283] [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: 02/18/2024] [Revised: 05/24/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024]
Abstract
Overlapping clinical and pathomechanistic features can complicate the diagnosis and treatment of inflammatory skin diseases, including psoriasis and atopic dermatitis (AD). Spatial transcriptomics allows the identification of disease- and cell-specific molecular signatures that may advance biomarker development and future treatments. This study identified transcriptional signatures in keratinocytes and sub-basal CD4+ and CD8+ T lymphocytes from patients with psoriasis and AD. In silico prediction of ligand:receptor interactions delivered key signalling pathways (interferon, effector T cells, stroma cell and matrix biology, neuronal development, etc.). Targeted validation of selected transcripts, including CCL22, RELB, and JUND, in peripheral blood T cells suggests the chosen approach as a promising tool also in other inflammatory diseases. Psoriasis and AD are characterized by transcriptional dysregulation in T cells and keratinocytes that may be targeted therapeutically. Spatial transcriptomics is a valuable tool in the search for molecular signatures that can be used as biomarkers and/or therapeutic targets.
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Affiliation(s)
- J Soul
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - E Carlsson
- Department of Women's & Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
| | - S R Hofmann
- Department of Pediatrics, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - S Russ
- Department of Pediatrics, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - J Hawkes
- Department of Women's & Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
| | - F Schulze
- Department of Pediatrics, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - M Sergon
- Institut of Pathology, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - J Pablik
- Institut of Pathology, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - S Abraham
- Department of Dermatology, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - C M Hedrich
- Department of Women's & Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom; Department of Paediatric Rheumatology, Alder Hey Children's NHS Foundation Trust Hospital, Liverpool, United Kingdom.
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3
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Gao S, Song H. Differences between psoriatic arthritis and psoriasis in multi-omics. Arch Dermatol Res 2024; 316:217. [PMID: 38787526 DOI: 10.1007/s00403-024-03018-9] [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: 04/08/2024] [Revised: 04/08/2024] [Accepted: 04/26/2024] [Indexed: 05/25/2024]
Abstract
We aim to systemically review the genomics, transcriptomics, epigenetics, proteomics, metabonomics and microbiota of psoriatic arthritis and psoriasis, illustrating the differences of these two diseases, broadening our understanding of the pathogenesis of them and providing important clues for valuable biomarkers of earlier diagnosis and treatments. To our knowledge, this is the first study that combine all omics studies from genomics to microbiota and may serve as a reference for future studies to identify the key underlying pathways in psoriatic arthritis.
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Affiliation(s)
- Siming Gao
- Department of Rheumatology, Beijing Jishuitan Hospital, Guizhou Hospital, Guiyang, China
- Department of Rheumatology, Beijing Jishuitan Hospital, Capital Medical University, No.31, Xin Jie Kou East Street, Xicheng District, Beijing, 100035, China
| | - Hui Song
- Department of Rheumatology, Beijing Jishuitan Hospital, Capital Medical University, No.31, Xin Jie Kou East Street, Xicheng District, Beijing, 100035, China.
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4
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Cruz-Correa OF, Pollock RA, Machhar R, Gladman DD. Prediction of Psoriatic Arthritis in Patients With Psoriasis Using DNA Methylation Profiles. Arthritis Rheumatol 2023; 75:2178-2184. [PMID: 37463128 DOI: 10.1002/art.42654] [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: 10/17/2022] [Revised: 05/24/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023]
Abstract
OBJECTIVE Psoriatic arthritis (PsA) is an immune-mediated inflammatory arthritis, associated with psoriasis, that significantly increases morbidity and mortality risk. We currently lack the means of predicting which patients with psoriasis will develop PsA, and a large number of patients remain undiagnosed. Regulation of gene expression through DNA methylation can potentially trigger and maintain PsA pathophysiological processes. We aimed to identify DNA methylation markers that can predict which patients with psoriasis will develop PsA prior to the onset of musculoskeletal symptoms. METHODS Genome-wide DNA methylation was assessed in blood samples from patients with psoriasis who went on to develop arthritis (converters) and patients with psoriasis who did not (biologic naive, matched for age, sex, psoriasis duration, and duration of follow-up). Methylation differences between converters and nonconverters were identified by a multivariate linear regression model including clinical covariates (age, sex, body mass index, smoking). Predictive performance of methylation markers was assessed by developing support vector machine classification models with and without the addition of clinical variables. RESULTS We identified a set of 36 highly relevant methylation markers (false discovery rate: adjusted P < 0.05 and a minimum change in methylation of 0.05) across 15 genes and several intergenic regions. A classification model relying on these markers identified converters and nonconverters with an area under the receiver operating characteristic curve of 0.9644. CONCLUSION This study shows that DNA methylation patterns at an early stage of psoriatic disease can distinguish between patients who will develop PsA from those who will not during the same follow-up.
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Affiliation(s)
- Omar F Cruz-Correa
- Psoriatic Arthritis Research Program, Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Canada
| | - Remy A Pollock
- Psoriatic Arthritis Research Program, Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Canada
| | - Rohan Machhar
- Psoriatic Arthritis Research Program, Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Canada
| | - Dafna D Gladman
- Psoriatic Arthritis Research Program, Schroeder Arthritis Institute, Krembil Research Institute, University Health Network and University of Toronto, Toronto, Canada
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Carlsson E, Cowell-McGlory T, Hedrich CM. cAMP responsive element modulator α promotes effector T cells in systemic autoimmune diseases. Immunology 2023; 170:470-482. [PMID: 37435993 DOI: 10.1111/imm.13680] [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: 04/15/2023] [Accepted: 07/01/2023] [Indexed: 07/13/2023] Open
Abstract
T lymphocytes play a crucial role in adaptive immunity. Dysregulation of T cell-derived inflammatory cytokine expression and loss of self-tolerance promote inflammation and tissue damage in several autoimmune/inflammatory diseases, including systemic lupus erythematosus (SLE) and psoriasis. The transcription factor cAMP responsive element modulator α (CREMα) plays a key role in the regulation of T cell homeostasis. Increased expression of CREMα is a hallmark of the T cell-mediated inflammatory diseases SLE and psoriasis. Notably, CREMα regulates the expression of effector molecules through trans-regulation and/or the co-recruitment of epigenetic modifiers, including DNA methyltransferases (DNMT3a), histone-methyltransferases (G9a) and histone acetyltransferases (p300). Thus, CREMα may be used as a biomarker for disease activity and/or target for future targeted therapeutic interventions.
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Affiliation(s)
- Emil Carlsson
- Department of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Taylor Cowell-McGlory
- Department of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Christian M Hedrich
- Department of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- Department of Rheumatology, Alder Hey Children's NHS Foundation Trust Hospital, Liverpool, UK
- Paediatric Excellence Initiative, NIHR Great Ormond Street Biomedical Research Centre, Alder Hey Children's NHS Foundation Trust Hospital, Liverpool, UK
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Natoli V, Charras A, Hofmann SR, Northey S, Russ S, Schulze F, McCann L, Abraham S, Hedrich CM. DNA methylation patterns in CD4 + T-cells separate psoriasis patients from healthy controls, and skin psoriasis from psoriatic arthritis. Front Immunol 2023; 14:1245876. [PMID: 37662940 PMCID: PMC10472451 DOI: 10.3389/fimmu.2023.1245876] [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: 06/23/2023] [Accepted: 07/18/2023] [Indexed: 09/05/2023] Open
Abstract
Background Psoriasis is an autoimmune/inflammatory disorder primarily affecting the skin. Chronic joint inflammation triggers the diagnosis of psoriatic arthritis (PsA) in approximately one-third of psoriasis patients. Although joint disease typically follows the onset of skin psoriasis, in around 15% of cases it is the initial presentation, which can result in diagnostic delays. The pathophysiological mechanisms underlying psoriasis and PsA are not yet fully understood, but there is evidence pointing towards epigenetic dysregulation involving CD4+ and CD8+ T-cells. Objectives The aim of this study was to investigate disease-associated DNA methylation patterns in CD4+ T-cells from psoriasis and PsA patients that may represent potential diagnostic and/or prognostic biomarkers. Methods PBMCs were collected from 12 patients with chronic plaque psoriasis and 8 PsA patients, and 8 healthy controls. CD4+ T-cells were separated through FACS sorting, and DNA methylation profiling was performed (Illumina EPIC850K arrays). Bioinformatic analyses, including gene ontology (GO) and KEGG pathway analysis, were performed using R. To identify genes under the control of interferon (IFN), the Interferome database was consulted, and DNA Methylation Scores were calculated. Results Numbers and proportions of CD4+ T-cell subsets (naïve, central memory, effector memory, CD45RA re-expressing effector memory cells) did not vary between controls, skin psoriasis and PsA patients. 883 differentially methylated positions (DMPs) affecting 548 genes were identified between controls and "all" psoriasis patients. Principal component and partial least-squares discriminant analysis separated controls from skin psoriasis and PsA patients. GO analysis considering promoter DMPs delivered hypermethylation of genes involved in "regulation of wound healing, spreading of epidermal cells", "negative regulation of cell-substrate junction organization" and "negative regulation of focal adhesion assembly". Comparing controls and "all" psoriasis, a majority of DMPs mapped to IFN-related genes (69.2%). Notably, DNA methylation profiles also distinguished skin psoriasis from PsA patients (2,949 DMPs/1,084 genes) through genes affecting "cAMP-dependent protein kinase inhibitor activity" and "cAMP-dependent protein kinase regulator activity". Treatment with cytokine inhibitors (IL-17/TNF) corrected DNA methylation patterns of IL-17/TNF-associated genes, and methylation scores correlated with skin disease activity scores (PASI). Conclusion DNA methylation profiles in CD4+ T-cells discriminate between skin psoriasis and PsA. DNA methylation signatures may be applied for quantification of disease activity and patient stratification towards individualized treatment.
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Affiliation(s)
- Valentina Natoli
- Department of Women’s & Children’s Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
- Università degli Studi di Genova, Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-infantili (DINOGMI), Genoa, Italy
| | - Amandine Charras
- Department of Women’s & Children’s Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Sigrun R. Hofmann
- Klinik und Poliklinik für Kinder- und Jugendmedizin, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Sarah Northey
- Department of Women’s & Children’s Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Susanne Russ
- Klinik und Poliklinik für Kinder- und Jugendmedizin, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Felix Schulze
- Klinik und Poliklinik für Kinder- und Jugendmedizin, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Liza McCann
- Department of Paediatric Rheumatology, Alder Hey Children’s NHS Foundation Trust Hospital, Liverpool, United Kingdom
| | - Susanne Abraham
- Department of Dermatology, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Christian M. Hedrich
- Department of Women’s & Children’s Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
- Department of Paediatric Rheumatology, Alder Hey Children’s NHS Foundation Trust Hospital, Liverpool, United Kingdom
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Mateu-Arrom L, Puig L. Genetic and Epigenetic Mechanisms of Psoriasis. Genes (Basel) 2023; 14:1619. [PMID: 37628670 PMCID: PMC10454222 DOI: 10.3390/genes14081619] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/09/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023] Open
Abstract
Psoriasis is a disease involving the innate and adaptative components of the immune system, and it is triggered by environmental factors in genetically susceptible individuals. However, its physiopathology is not fully understood yet. Recent technological advances, especially in genome and epigenome-wide studies, have provided a better understanding of the genetic and epigenetic mechanisms to determine the physiopathology of psoriasis and facilitate the development of new drugs. This review intends to summarize the current evidence on genetic and epigenetic mechanisms of psoriasis.
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Affiliation(s)
| | - Lluis Puig
- Department of Dermatology, Hospital de la Santa Creu i Sant Pau, Institut d’Investigació Biomèdica Sant Pau (IIB SANT PAU), Universitat Autònoma de Barcelona, 08041 Barcelona, Spain
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Kimak A, Robak E, Makowska J, Woźniacka A. Psoriatic Arthritis: Development, Detection and Prevention: A Scoping Review. J Clin Med 2023; 12:jcm12113850. [PMID: 37298045 DOI: 10.3390/jcm12113850] [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: 04/19/2023] [Revised: 05/26/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
Psoriatic arthritis is a heterogenous chronic inflammatory disease that develops over time in some patients with psoriasis. The course of the disease is variable, with a broad clinical spectrum. The management of PsA has changed tremendously over the last decade, thanks to earlier diagnosis, a multidisciplinary approach and progress in pharmacological therapies. Therefore, screening for risk factors and the early signs of arthritis is highly important and recommended. Currently, research is focused on finding soluble biomarkers and developing imaging techniques that can improve the prediction of psoriatic arthritis. Among imaging modalities, ultrasonography seems to be the most accurate in detecting subclinical inflammation. Early intervention is based on the assumption that it is possible to prevent or delay psoriatic arthritis if systemic treatment for psoriasis can be administered early enough. This review article provides an overview of the current perspectives and evidence regarding the diagnosis, management and prevention of psoriatic arthritis.
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Affiliation(s)
- Agnieszka Kimak
- Department of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland
| | - Ewa Robak
- Department of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland
| | - Joanna Makowska
- Department of Rheumatology, Medical University of Lodz, Zeromskiego 113, 90-549 Lodz, Poland
| | - Anna Woźniacka
- Department of Dermatology and Venereology, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland
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9
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Garau J, Charras A, Varesio C, Orcesi S, Dragoni F, Galli J, Fazzi E, Gagliardi S, Pansarasa O, Cereda C, Hedrich CM. Altered DNA methylation and gene expression predict disease severity in patients with Aicardi-Goutières syndrome. Clin Immunol 2023; 249:109299. [PMID: 36963449 DOI: 10.1016/j.clim.2023.109299] [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: 12/19/2022] [Revised: 02/06/2023] [Accepted: 03/15/2023] [Indexed: 03/26/2023]
Abstract
Aicardi-Goutières Syndrome (AGS) is a rare neuro-inflammatory disease characterized by increased expression of interferon-stimulated genes (ISGs). Disease-causing mutations are present in genes associated with innate antiviral responses. Disease presentation and severity vary, even between patients with identical mutations from the same family. This study investigated DNA methylation signatures in PBMCs to understand phenotypic heterogeneity in AGS patients with mutations in RNASEH2B. AGS patients presented hypomethylation of ISGs and differential methylation patterns (DMPs) in genes involved in "neutrophil and platelet activation". Patients with "mild" phenotypes exhibited DMPs in genes involved in "DNA damage and repair", whereas patients with "severe" phenotypes had DMPs in "cell fate commitment" and "organ development" associated genes. DMPs in two ISGs (IFI44L, RSAD2) associated with increased gene expression in patients with "severe" when compared to "mild" phenotypes. In conclusion, altered DNA methylation and ISG expression as biomarkers and potential future treatment targets in AGS.
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Affiliation(s)
- Jessica Garau
- Neurogenetics Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Amandine Charras
- Department of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Costanza Varesio
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Department of Child Neurology and Psychiatry, IRCCS Mondino Foundation, Pavia, Italy
| | - Simona Orcesi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Department of Child Neurology and Psychiatry, IRCCS Mondino Foundation, Pavia, Italy
| | - Francesca Dragoni
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy; Molecular Biology and Transcriptomics, IRCCS Mondino Foundation, Pavia, Italy
| | - Jessica Galli
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Unit of Child Neurology and Psychiatry, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Elisa Fazzi
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Unit of Child Neurology and Psychiatry, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Stella Gagliardi
- Molecular Biology and Transcriptomics, IRCCS Mondino Foundation, Pavia, Italy
| | - Orietta Pansarasa
- Cellular Model and Neuroepigenetics, IRCCS Mondino Foundation, Pavia, Italy
| | - Cristina Cereda
- Genomic and post-Genomic Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Christian M Hedrich
- Department of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom; Department of Paediatric Rheumatology, Alder Hey Children's NHS Foundation Trust Hospital, Liverpool, United Kingdom.
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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: 36] [Impact Index Per Article: 36.0] [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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Deng M, Su Y, Wu R, Li S, Zhu Y, Tang G, Shi X, Zhou T, Zhao M, Lu Q. DNA methylation markers in peripheral blood for psoriatic arthritis. J Dermatol Sci 2022; 108:39-47. [DOI: 10.1016/j.jdermsci.2022.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 10/25/2022] [Accepted: 11/06/2022] [Indexed: 11/11/2022]
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12
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How does age determine the development of human immune-mediated arthritis? Nat Rev Rheumatol 2022; 18:501-512. [PMID: 35948692 PMCID: PMC9363867 DOI: 10.1038/s41584-022-00814-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2022] [Indexed: 11/08/2022]
Abstract
Does age substantially affect the emergence of human immune-mediated arthritis? Children do not usually develop immune-mediated articular inflammation during their first year of life. In patients with juvenile idiopathic arthritis, this apparent ‘immune privilege’ disintegrates, and chronic inflammation is associated with variable autoantibody signatures and patterns of disease that resemble adult arthritis phenotypes. Numerous mechanisms might be involved in this shift, including genetic and epigenetic predisposing factors, maturation of the immune system with a progressive modulation of putative tolerogenic controls, parallel development of microbial dysbiosis, accumulation of a pro-inflammatory burden driven by environmental exposures (the exposome) and comorbidity-related drivers. By exploring these mechanisms, we expand the discussion of three (not mutually exclusive) hypotheses on how these factors can contribute to the differences and similarities between the loss of immune tolerance in children and the development of established immune-mediated arthritis in adults. These three hypotheses relate to a critical window in genetics and epigenetics, immune maturation, and the accumulation of burden. The varied manifestation of the underlying mechanisms among individuals is only beginning to be clarified, but the establishment of a framework can facilitate the development of an integrated understanding of the pathogenesis of arthritis across all ages. In this Review, the authors discuss age-related arthropathy and the similarities and differences between childhood loss of immune tolerance and adult development of immune-mediated arthritis, and develop three hypotheses describing age-related mechanisms that contribute to the onset of arthritis. The arthritis-free ‘immune privilege’ of early childhood is overridden by multiple mechanisms, progressively and age-dependently, generating recognizable patterns of chronic inflammatory arthritis. The emergence of arthritis involves interconnected mechanisms related to immune priming, to a situational susceptibility and to the accumulation of an inflammatory burden. The accumulation of epigenetic drift may contribute to differences across ages. The exposome is expected to contribute to arthritis emergence in adults as well as in children.
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Antonatos C, Grafanaki K, Asmenoudi P, Xiropotamos P, Nani P, Georgakilas GK, Georgiou S, Vasilopoulos Y. Contribution of the Environment, Epigenetic Mechanisms and Non-Coding RNAs in Psoriasis. Biomedicines 2022; 10:biomedicines10081934. [PMID: 36009480 PMCID: PMC9405550 DOI: 10.3390/biomedicines10081934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/03/2022] [Accepted: 08/08/2022] [Indexed: 11/16/2022] Open
Abstract
Despite the increasing research and clinical interest in the predisposition of psoriasis, a chronic inflammatory skin disease, the multitude of genetic and environmental factors involved in its pathogenesis remain unclear. This complexity is further exacerbated by the several cell types that are implicated in Psoriasis’s progression, including keratinocytes, melanocytes and various immune cell types. The observed interactions between the genetic substrate and the environment lead to epigenetic alterations that directly or indirectly affect gene expression. Changes in DNA methylation and histone modifications that alter DNA-binding site accessibility, as well as non-coding RNAs implicated in the post-transcriptional regulation, are mechanisms of gene transcriptional activity modification and therefore affect the pathways involved in the pathogenesis of Psoriasis. In this review, we summarize the research conducted on the environmental factors contributing to the disease onset, epigenetic modifications and non-coding RNAs exhibiting deregulation in Psoriasis, and we further categorize them based on the under-study cell types. We also assess the recent literature considering therapeutic applications targeting molecules that compromise the epigenome, as a way to suppress the inflammatory cutaneous cascade.
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Affiliation(s)
- Charalabos Antonatos
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504 Patras, Greece
| | - Katerina Grafanaki
- Department of Dermatology, School of Medicine, University Hospital of Patras, University of Patras, 26504 Patras, Greece
| | - Paschalia Asmenoudi
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504 Patras, Greece
| | - Panagiotis Xiropotamos
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504 Patras, Greece
| | - Paraskevi Nani
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504 Patras, Greece
| | - Georgios K. Georgakilas
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504 Patras, Greece
- Laboratory of Hygiene and Epidemiology, Department of Clinical and Laboratory Research, Faculty of Medicine, University of Thessaly, 38334 Volos, Greece
| | - Sophia Georgiou
- Department of Dermatology, School of Medicine, University Hospital of Patras, University of Patras, 26504 Patras, Greece
| | - Yiannis Vasilopoulos
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504 Patras, Greece
- Correspondence:
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Advanced genomics and clinical phenotypes in psoriatic arthritis. Semin Immunol 2021; 58:101665. [PMID: 36307312 DOI: 10.1016/j.smim.2022.101665] [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] [Indexed: 12/13/2022]
Abstract
Psoriatic Arthritis (PsA) is a complex polygenic inflammatory disease showing a variable musculoskeletal involvement in patients with skin psoriasis. PsA coexist in 25-40 % of patients with the dermatological manifestations, but PsA may also predate the appearance of psoriasis. Nonetheless, the immunopathogenesis of psoriasis and PsA manifest significant similarities, with a major role of the individual susceptibility in both cases. Genome wide association studies (GWAS) identified several genes/loci associated with the risk to develop PsA, both dependent and independent of psoriasis. The major challenge is thus represented by the need to translate the identification of functional polymorphisms and other genetics findings into biological mechanisms along with the identification of novel putative drug targets. A functional genomics approach aims to increase GWAS power and recent evidence supports the use of a multilayer process, including eQTL, methylome, chromatin conformation analysis and genome editing to discover novel genes that can be affected by disease-associated variants, such as PsA. The available data have considered PsA as a unique homogeneous clinical entity while the clinical experience supports a wide variability of skin and joint manifestations coexisting in diverse patients with different mechanisms underlying the musculoskeletal and dermatological domains. A better discrimination of the patient features is encouraged by the limited data on functional genomics. We provide herein a review of the latest findings on PsA functional genomics highlighting the exciting developments in the field and how these might lead to a better understanding of gene regulation underpinning disease mechanisms and ultimately refine clinical phenotyping.
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