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Hageman I, Mol F, Atiqi S, Joustra V, Sengul H, Henneman P, Visman I, Hakvoort T, Nurmohamed M, Wolbink G, Levin E, Li Yim AY, D’Haens G, de Jonge WJ. Novel DNA methylome biomarkers associated with adalimumab response in rheumatoid arthritis patients. Front Immunol 2023; 14:1303231. [PMID: 38187379 PMCID: PMC10771853 DOI: 10.3389/fimmu.2023.1303231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/04/2023] [Indexed: 01/09/2024] Open
Abstract
Background and aims Rheumatoid arthritis (RA) patients are currently treated with biological agents mostly aimed at cytokine blockade, such as tumor necrosis factor-alpha (TNFα). Currently, there are no biomarkers to predict therapy response to these agents. Here, we aimed to predict response to adalimumab (ADA) treatment in RA patients using DNA methylation in peripheral blood (PBL). Methods DNA methylation profiling on whole peripheral blood from 92 RA patients before the start of ADA treatment was determined using Illumina HumanMethylationEPIC BeadChip array. After 6 months, treatment response was assessed according to the European Alliance of Associations for Rheumatology (EULAR) criteria for disease activity. Patients were classified as responders (Disease Activity Score in 28 Joints (DAS28) < 3.2 or decrease of 1.2 points) or as non-responders (DAS28 > 5.1 or decrease of less than 0.6 points). Machine learning models were built through stability-selected gradient boosting to predict response prior to ADA treatment with predictor DNA methylation markers. Results Of the 94 RA patients, we classified 49 and 43 patients as responders and non-responders, respectively. We were capable of differentiating responders from non-responders with a high performance (area under the curve (AUC) 0.76) using a panel of 27 CpGs. These classifier CpGs are annotated to genes involved in immunological and pathophysiological pathways related to RA such as T-cell signaling, B-cell pathology, and angiogenesis. Conclusion Our findings indicate that the DNA methylome of PBL provides discriminative capabilities in discerning responders and non-responders to ADA treatment and may therefore serve as a tool for therapy prediction.
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Affiliation(s)
- Ishtu Hageman
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
- Tytgat Institute for Liver and Intestinal Research, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Femke Mol
- Tytgat Institute for Liver and Intestinal Research, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Sadaf Atiqi
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, Vrije Universiteit (VU) University Medical Center, Amsterdam, Netherlands
| | - Vincent Joustra
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Hilal Sengul
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Peter Henneman
- Genome Diagnostics Laboratory, Department of Human Genetics, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Ingrid Visman
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, Vrije Universiteit (VU) University Medical Center, Amsterdam, Netherlands
| | - Theodorus Hakvoort
- Tytgat Institute for Liver and Intestinal Research, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Mike Nurmohamed
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, Vrije Universiteit (VU) University Medical Center, Amsterdam, Netherlands
| | - Gertjan Wolbink
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, Vrije Universiteit (VU) University Medical Center, Amsterdam, Netherlands
| | - Evgeni Levin
- Department of Vascular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
- Horaizon BV, Delft, Netherlands
| | - Andrew Y.F. Li Yim
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
- Tytgat Institute for Liver and Intestinal Research, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
- Genome Diagnostics Laboratory, Department of Human Genetics, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Geert D’Haens
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Wouter J. de Jonge
- Tytgat Institute for Liver and Intestinal Research, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands
- Department of Surgery, University of Bonn, Bonn, Germany
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Jin L, Wang F, Wang X, Harvey BP, Bi Y, Hu C, Cui B, Darcy AT, Maull JW, Phillips BR, Kim Y, Jenkins GJ, Sornasse TR, Tian Y. Identification of Plasma Biomarkers from Rheumatoid Arthritis Patients Using an Optimized Sequential Window Acquisition of All THeoretical Mass Spectra (SWATH) Proteomics Workflow. Proteomes 2023; 11:32. [PMID: 37873874 PMCID: PMC10594463 DOI: 10.3390/proteomes11040032] [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: 08/16/2023] [Revised: 09/28/2023] [Accepted: 10/02/2023] [Indexed: 10/25/2023] Open
Abstract
Rheumatoid arthritis (RA) is a systemic autoimmune and inflammatory disease. Plasma biomarkers are critical for understanding disease mechanisms, treatment effects, and diagnosis. Mass spectrometry-based proteomics is a powerful tool for unbiased biomarker discovery. However, plasma proteomics is significantly hampered by signal interference from high-abundance proteins, low overall protein coverage, and high levels of missing data from data-dependent acquisition (DDA). To achieve quantitative proteomics analysis for plasma samples with a balance of throughput, performance, and cost, we developed a workflow incorporating plate-based high abundance protein depletion and sample preparation, comprehensive peptide spectral library building, and data-independent acquisition (DIA) SWATH mass spectrometry-based methodology. In this study, we analyzed plasma samples from both RA patients and healthy donors. The results showed that the new workflow performance exceeded that of the current state-of-the-art depletion-based plasma proteomic platforms in terms of both data quality and proteome coverage. Proteins from biological processes related to the activation of systemic inflammation, suppression of platelet function, and loss of muscle mass were enriched and differentially expressed in RA. Some plasma proteins, particularly acute-phase reactant proteins, showed great power to distinguish between RA patients and healthy donors. Moreover, protein isoforms in the plasma were also analyzed, providing even deeper proteome coverage. This workflow can serve as a basis for further application in discovering plasma biomarkers of other diseases.
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Affiliation(s)
- Liang Jin
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Fei Wang
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Xue Wang
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Bohdan P. Harvey
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Yingtao Bi
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Chenqi Hu
- DMPK, Takeda Development Center Americas Inc., Cambridge, MA 02142, USA; (C.H.)
| | - Baoliang Cui
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Anhdao T. Darcy
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - John W. Maull
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Ben R. Phillips
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Youngjae Kim
- DMPK, Takeda Development Center Americas Inc., Cambridge, MA 02142, USA; (C.H.)
| | - Gary J. Jenkins
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Thierry R. Sornasse
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Yu Tian
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
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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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Sandhu G, Thelma BK. New Druggable Targets for Rheumatoid Arthritis Based on Insights From Synovial Biology. Front Immunol 2022; 13:834247. [PMID: 35265082 PMCID: PMC8899708 DOI: 10.3389/fimmu.2022.834247] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 01/31/2022] [Indexed: 12/19/2022] Open
Abstract
Rheumatoid arthritis (RA) is a multifactorial autoimmune disease characterized by chronic inflammation and destruction of multiple small joints which may lead to systemic complications. Altered immunity via pathogenic autoantibodies pre-date clinical symptom development by several years. Incompletely understood range of mechanisms trigger joint-homing, leading to clinically evident articular disease. Advances in therapeutic approaches and understanding pathogenesis have improved prognosis and likely remission. However, partial/non-response to conventional and biologic therapies witnessed in a subset of patients highlights the need for new therapeutics. It is now evident that joint disease chronicity stems from recalcitrant inflammatory synovial environment, majorly maintained by epigenetically and metabolically reprogrammed synoviocytes. Therefore, interference with effector functions of activated cell types seems a rational strategy to reinstate synovial homeostasis and complement existing anti-inflammatory interventions to mitigate chronic RA. Presenting this newer aspect of fibroblast-like synoviocytes and myeloid cells underlying the altered synovial biology in RA and its potential for identification of new druggable targets is attempted in this review. Major leads from i) molecular insights of pathogenic cell types from hypothesis free OMICS approaches; ii) hierarchy of their dysregulated signaling pathways; and iii) knowledge of druggability of molecular nodes in these pathways are highlighted. Development of such synovial biology-directed therapeutics hold promise for an enriched drug repertoire for RA.
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Affiliation(s)
| | - B. K. Thelma
- Department of Genetics, University of Delhi, New Delhi, India
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5
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Mucke J, Krusche M, Burmester GR. A broad look into the future of rheumatoid arthritis. Ther Adv Musculoskelet Dis 2022; 14:1759720X221076211. [PMID: 35154419 PMCID: PMC8832593 DOI: 10.1177/1759720x221076211] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 01/07/2022] [Indexed: 12/14/2022] Open
Abstract
Despite all improvements in rheumatoid arthritis, we are still not able to prevent or cure the disease. Diagnostic delays due to lack of access to a specialist and costly therapies are still a major obstacle for many patients. Even in first-world countries, the treat-to-target principle and the goal of disease remission are often missed. Thus, rheumatoid arthritis (RA) is still the reason for disability and reduced quality of life for many patients. So, is it time to move the goalpost even further? Where are we heading next? And will we finally be able to cure the disease? These questions are addressed in our review article.
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Affiliation(s)
- Johanna Mucke
- Policlinic and Hiller Research Unit for Rheumatology, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Martin Krusche
- Division of Rheumatology and Inflammatory Rheumatic Diseases, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Gerd R. Burmester
- Department of Rheumatology and Clinical Immunology, Charité –Universitätsmedizin Berlin, Charitéplatz 1, D-10117 Berlin, Germany
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Noble AJ, Purcell RV, Adams AT, Lam YK, Ring PM, Anderson JR, Osborne AJ. A Final Frontier in Environment-Genome Interactions? Integrated, Multi-Omic Approaches to Predictions of Non-Communicable Disease Risk. Front Genet 2022; 13:831866. [PMID: 35211161 PMCID: PMC8861380 DOI: 10.3389/fgene.2022.831866] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/19/2022] [Indexed: 12/26/2022] Open
Abstract
Epidemiological and associative research from humans and animals identifies correlations between the environment and health impacts. The environment-health inter-relationship is effected through an individual's underlying genetic variation and mediated by mechanisms that include the changes to gene regulation that are associated with the diversity of phenotypes we exhibit. However, the causal relationships have yet to be established, in part because the associations are reduced to individual interactions and the combinatorial effects are rarely studied. This problem is exacerbated by the fact that our genomes are highly dynamic; they integrate information across multiple levels (from linear sequence, to structural organisation, to temporal variation) each of which is open to and responds to environmental influence. To unravel the complexities of the genomic basis of human disease, and in particular non-communicable diseases that are also influenced by the environment (e.g., obesity, type II diabetes, cancer, multiple sclerosis, some neurodegenerative diseases, inflammatory bowel disease, rheumatoid arthritis) it is imperative that we fully integrate multiple layers of genomic data. Here we review current progress in integrated genomic data analysis, and discuss cases where data integration would lead to significant advances in our ability to predict how the environment may impact on our health. We also outline limitations which should form the basis of future research questions. In so doing, this review will lay the foundations for future research into the impact of the environment on our health.
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Affiliation(s)
- Alexandra J. Noble
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, United Kingdom
| | - Rachel V. Purcell
- Department of Surgery, University of Otago Christchurch, Christchurch, New Zealand
| | - Alex T. Adams
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, United Kingdom
| | - Ying K. Lam
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, United Kingdom
| | - Paulina M. Ring
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Jessica R. Anderson
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Amy J. Osborne
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
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