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Lambuk F, Nordin NA, Mussa A, Lambuk L, Ahmad S, Hassan R, Kadir R, Mohamud R, Yahya NK. Towards understanding the role of nanomedicine in targeting TNFR2 in rheumatoid arthritis. Immunology 2024. [PMID: 39191474 DOI: 10.1111/imm.13855] [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: 07/19/2023] [Accepted: 08/13/2024] [Indexed: 08/29/2024] Open
Abstract
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation of the synovium and progressive joint destruction which significantly affects both quality of life and socioeconomic status. Admittedly, various treatments are available, but they are usually accompanied by various side effects, from mild to severe, and potentially with adverse events. Tumour necrosis factor-alpha (TNF-α) plays a crucial role in the pathophysiology of RA. It promotes inflammatory, apoptosis and necroptosis via TNF receptor-1 (TNFR1) but elicit anti-inflammatory effects via TNFR2. Herein, targeting TNFR2 has gained attention in RA studies. Understanding the role of nanomedicine in modulating TNFR2 signalling may be the instrument in development of RA therapies. Nanotechnology has made a significant progress in treating various conditions of diseases since its inception. Due to this, nanomedicine has emerged as a promising therapeutics approach for RA. Recent studies have demonstrated the potential of nanomedicine in RA theranostics, combining therapy and diagnostics for improved treatment outcomes. Owing to the challenges and advancements in the field of nanotechnology, nanoparticles are seen as an applicable candidate in the treatment of RA. In this review, we provide an overview of the role of nanomedicine in targeting TNFR2 for the treatment of RA and highlight the limitations of current therapies as well as the potential of nanocarriers with controlled drug release and active targeting abilities.
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Affiliation(s)
- Fatmawati Lambuk
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Nor Asyikin Nordin
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Ali Mussa
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
- Department of Biology, Faculty of Education, Omdurman Islamic University, Omdurman, Sudan
| | - Lidawani Lambuk
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Suhana Ahmad
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Rosline Hassan
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Ramlah Kadir
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Rohimah Mohamud
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Nurul Khaiza Yahya
- Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
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Favalli EG, Maioli G, Caporali R. Biologics or Janus Kinase Inhibitors in Rheumatoid Arthritis Patients Who are Insufficient Responders to Conventional Anti-Rheumatic Drugs. Drugs 2024; 84:877-894. [PMID: 38949688 PMCID: PMC11343917 DOI: 10.1007/s40265-024-02059-8] [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] [Accepted: 06/03/2024] [Indexed: 07/02/2024]
Abstract
Rheumatoid arthritis (RA) is a chronic immune-mediated inflammatory disease which can induce progressive disability if not properly treated early. Over the last 20 years, the improvement of knowledge on the pathogenesis of the disease has made available several drugs targeting key elements of the pathogenetic process, which now represent the preferred treatment option after the failure of first-line therapy with conventional drugs such as methotrexate (MTX). To this category of targeted drugs belong anti-cytokine or cell-targeted biological agents and more recently also Janus kinase inhibitors (JAKis). In the absence to date of specific biomarkers to guide the therapeutic choice in the context of true precision medicine, the choice of the first targeted drug after MTX failure is guided by treatment cost (especially after the marketing of biosimilar products) and by the clinical characteristics of the patient (age, sex, comorbidities and compliance) and the disease (presence or absence of autoantibodies and systemic or extra-articular manifestations), which may influence the efficacy and safety profile of the available products. This viewpoint focuses on the decision-making process underlying the personalized approach to RA therapy and will analyse the evidence in the literature supporting the choice of individual products and in particular the differential choice between biological drugs and JAKis.
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Affiliation(s)
- Ennio Giulio Favalli
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122, Milan, Italy
- Department of Rheumatology and Medical Sciences, Gaetano Pini-CTO Hospital, P.zza Cardinal Ferrari 1, 20122, Milan, Italy
| | - Gabriella Maioli
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122, Milan, Italy.
- Department of Rheumatology and Medical Sciences, Gaetano Pini-CTO Hospital, P.zza Cardinal Ferrari 1, 20122, Milan, Italy.
| | - Roberto Caporali
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122, Milan, Italy
- Department of Rheumatology and Medical Sciences, Gaetano Pini-CTO Hospital, P.zza Cardinal Ferrari 1, 20122, Milan, Italy
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Ruscitti P, Allanore Y, Baldini C, Barilaro G, Bartoloni Bocci E, Bearzi P, Bellis E, Berardicurti O, Biaggi A, Bombardieri M, Cantarini L, Cantatore FP, Caporali R, Caso F, Cervera R, Ciccia F, Cipriani P, Chatzis L, Colafrancesco S, Conti F, Corberi E, Costa L, Currado D, Cutolo M, D'Angelo S, Del Galdo F, Di Cola I, Di Donato S, Distler O, D'Onofrio B, Doria A, Fautrel B, Fasano S, Feist E, Fisher BA, Gabini M, Gandolfo S, Gatto M, Genovali I, Gerli R, Grembiale RD, Guggino G, Hoffmann-Vold AM, Iagnocco A, Iaquinta FS, Liakouli V, Manoussakis MN, Marino A, Mauro D, Montecucco C, Mosca M, Naty S, Navarini L, Occhialini D, Orefice V, Perosa F, Perricone C, Pilato A, Pitzalis C, Pontarini E, Prete M, Priori R, Rivellese F, Sarzi-Puttini P, Scarpa R, Sebastiani G, Selmi C, Shoenfeld Y, Triolo G, Trunfio F, Yan Q, Tzioufas AG, Giacomelli R. Tailoring the treatment of inflammatory rheumatic diseases by a better stratification and characterization of the clinical patient heterogeneity. Findings from a systematic literature review and experts' consensus. Autoimmun Rev 2024; 23:103581. [PMID: 39069240 DOI: 10.1016/j.autrev.2024.103581] [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: 05/12/2024] [Accepted: 07/23/2024] [Indexed: 07/30/2024]
Abstract
Inflammatory rheumatic diseases are different pathologic conditions associated with a deregulated immune response, codified along a spectrum of disorders, with autoinflammatory and autoimmune diseases as two-end phenotypes of this continuum. Despite pathogenic differences, inflammatory rheumatic diseases are commonly managed with a limited number of immunosuppressive drugs, sometimes with partial evidence or transferring physicians' knowledge in different patients. In addition, several randomized clinical trials, enrolling these patients, did not meet the primary pre-established outcomes and these findings could be linked to the underlying molecular diversities along the spectrum of inflammatory rheumatic disorders. In fact, the resulting patient heterogeneity may be driven by differences in underlying molecular pathology also resulting in variable responses to immunosuppressive drugs. Thus, the identification of different clinical subsets may possibly overcome the major obstacles that limit the development more effective therapeutic strategies for these patients with inflammatory rheumatic diseases. This clinical heterogeneity could require a diverse therapeutic management to improve patient outcomes and increase the frequency of clinical remission. Therefore, the importance of better patient stratification and characterization is increasingly pointed out according to the precision medicine principles, also suggesting a new approach for disease treatment. In fact, based on a better proposed patient profiling, clinicians could more appropriately balance the therapeutic management. On these bases, we synthetized and discussed the available literature about the patient profiling in regard to therapy in the context of inflammatory rheumatic diseases, mainly focusing on randomized clinical trials. We provided an overview of the importance of a better stratification and characterization of the clinical heterogeneity of patients with inflammatory rheumatic diseases identifying this point as crucial in improving the management of these patients.
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Affiliation(s)
- Piero Ruscitti
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Yannick Allanore
- Rheumatology Department, Cochin Hospital, APHP, INSERM U1016, Université Paris Cité, Paris, France
| | - Chiara Baldini
- Rheumatology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Giuseppe Barilaro
- Department of Autoimmune Diseases, Reference Centre for Systemic Autoimmune Diseases, Vasculitis and Autoinflammatory Diseases of the Catalan and Spanish Health Systems, Member of ERN-ReCONNET/RITA, Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Elena Bartoloni Bocci
- Section of Rheumatology, Department of Medicine and Surgery, University of Perugia, Italy
| | - Pietro Bearzi
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Elisa Bellis
- Academic Rheumatology Centre, Dipartimento di Scienze Cliniche e Biologiche Università di Torino - AO Mauriziano di Torino, Turin, Italy
| | - Onorina Berardicurti
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Alice Biaggi
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Michele Bombardieri
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Luca Cantarini
- Department of Medical Sciences, Surgery and Neurosciences, Research Center of Systemic Autoinflammatory Diseases and Behçet's Disease Clinic, University of Siena, Siena, Italy; Azienda Ospedaliero-Universitaria Senese [European Reference Network (ERN) for Rare Immunodeficiency, Autoinflammatory and Autoimmune Diseases (RITA) Center] Siena, Italy
| | - Francesco Paolo Cantatore
- Rheumatology Clinic, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
| | - Roberto Caporali
- Department of Clinical Sciences and Community Health, University of Milan, Paediatric Rheumatology Unit, and Clinical Rheumatology Unit, ASST Pini-CTO, Milan, Italy
| | - Francesco Caso
- Rheumatology Research Unit, Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Ricard Cervera
- Department of Autoimmune Diseases, Reference Centre for Systemic Autoimmune Diseases, Vasculitis and Autoinflammatory Diseases of the Catalan and Spanish Health Systems, Member of ERN-ReCONNET/RITA, Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Francesco Ciccia
- Rheumatology Unit, Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Paola Cipriani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Loukas Chatzis
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Serena Colafrancesco
- Department of Internal Medicine and Medical Specialties, Rheumatology Unit, Sapienza University of Rome, Viale del Policlinico 155, 00185 Rome, Italy
| | - Fabrizio Conti
- Department of Internal Medicine and Medical Specialties, Rheumatology Unit, Sapienza University of Rome, Viale del Policlinico 155, 00185 Rome, Italy
| | - Erika Corberi
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Luisa Costa
- Rheumatology Research Unit, Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Damiano Currado
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Maurizio Cutolo
- Laboratory of Experimental Rheumatology and Academic Division of Rheumatology, Department of Internal Medicine and Specialties, University of Genova Italy, IRCCS Polyclinic Hospital, Genova, Italy
| | - Salvatore D'Angelo
- Rheumatology Depatment of Lucania, San Carlo Hospital of Potenza and Madonna delle Grazie Hospital of Matera, Potenza, Italy
| | - Francesco Del Galdo
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Ilenia Di Cola
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Stefano Di Donato
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Oliver Distler
- Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Bernardo D'Onofrio
- Department of Internal Medicine and Therapeutics, Università di Pavia, Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Andrea Doria
- Rheumatology Unit, Department of Medicine (DIMED), University of Padua, Padua, Italy
| | - Bruno Fautrel
- Sorbonne Université - Assistance Publique Hôpitaux de Paris, INSERM UMRS 1136, Hôpital de La Pitié Salpêtrière, Paris, France
| | - Serena Fasano
- Rheumatology Unit, Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Eugen Feist
- Department of Rheumatology, Helios Fachklinik, Sophie-von-Boetticher-Straße 1, 39245, Vogelsang-Gommern, Germany; Charité - Universitätsmedizin Berlin, Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Berlin, Germany
| | - Benjamin A Fisher
- Institute of Inflammation and Ageing, University Hospitals Birmingham, Birmingham, UK; Department of Rheumatology, National Institute for Health Research (NIHR), Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Marco Gabini
- Rheumatology Unit, Santo Spirito Hospital, Pescara, Italy
| | - Saviana Gandolfo
- Unit of Rheumatology, San Giovanni Bosco Hospital, Naples, Italy
| | - Mariele Gatto
- Academic Rheumatology Centre, Dipartimento di Scienze Cliniche e Biologiche Università di Torino - AO Mauriziano di Torino, Turin, Italy
| | - Irene Genovali
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Roberto Gerli
- Section of Rheumatology, Department of Medicine and Surgery, University of Perugia, Italy
| | - Rosa Daniela Grembiale
- Rheumatology Research Unit, Dipartimento di Scienze della Salute, Università degli studi "Magna Graecia" di Catanzaro, Catanzaro, Italy
| | - Giuliana Guggino
- Rheumatology Unit, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Italy
| | - Anna Maria Hoffmann-Vold
- Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Rheumatology, Oslo University Hospital-Rikshospitalet, Oslo, Norway
| | - Annamaria Iagnocco
- Academic Rheumatology Centre, Dipartimento di Scienze Cliniche e Biologiche Università di Torino - AO Mauriziano di Torino, Turin, Italy
| | - Francesco Salvatore Iaquinta
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Vasiliki Liakouli
- Rheumatology Unit, Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Menelaos N Manoussakis
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Annalisa Marino
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Daniele Mauro
- Rheumatology Unit, Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Carlomaurizio Montecucco
- Department of Internal Medicine and Therapeutics, Università di Pavia, Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Marta Mosca
- Rheumatology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Saverio Naty
- Department of Health Sciences, "Magna Græcia" University of Catanzaro, 88100 Catanzaro, Italy
| | - Luca Navarini
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Daniele Occhialini
- Rheumatic and Systemic Autoimmune Diseases Unit, Department of Interdisciplinary Medicine (DIM), University of Bari Medical School, Italy
| | - Valeria Orefice
- Rheumatology Unit, San Camillo-Forlanini Hospital, Rome, Italy
| | - Federico Perosa
- Rheumatic and Systemic Autoimmune Diseases Unit, Department of Interdisciplinary Medicine (DIM), University of Bari Medical School, Italy
| | - Carlo Perricone
- Section of Rheumatology, Department of Medicine and Surgery, University of Perugia, Italy
| | - Andrea Pilato
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Costantino Pitzalis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK; Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Elena Pontarini
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Marcella Prete
- Rheumatic and Systemic Autoimmune Diseases Unit, Department of Interdisciplinary Medicine (DIM), University of Bari Medical School, Italy
| | - Roberta Priori
- Department of Internal Medicine and Medical Specialties, Rheumatology Unit, Sapienza University of Rome, Viale del Policlinico 155, 00185 Rome, Italy
| | - Felice Rivellese
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Piercarlo Sarzi-Puttini
- Rheumatology Department, ASST Fatebenefratelli Luigi Sacco University Hospital, Milan, Italy; Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Raffaele Scarpa
- Rheumatology Research Unit, Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | | | - Carlo Selmi
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Yehuda Shoenfeld
- Zabludovwicz autoimmunity center, Sheba medical center, Tel Hashomer Israel, Reichman University, Herzeliya, Israel
| | - Giovanni Triolo
- Rheumatology Unit, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Italy
| | - Francesca Trunfio
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Qingran Yan
- Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Athanasios G Tzioufas
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Roberto Giacomelli
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
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Mendoza-Pinto C, Sánchez-Tecuatl M, Berra-Romani R, Maya-Castro ID, Etchegaray-Morales I, Munguía-Realpozo P, Cárdenas-García M, Arellano-Avendaño FJ, García-Carrasco M. Machine learning in the prediction of treatment response in rheumatoid arthritis: A systematic review. Semin Arthritis Rheum 2024; 68:152501. [PMID: 39226650 DOI: 10.1016/j.semarthrit.2024.152501] [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: 01/14/2024] [Revised: 05/14/2024] [Accepted: 06/11/2024] [Indexed: 09/05/2024]
Abstract
OBJECTIVE This study aimed to investigate the current status and performance of machine learning (ML) approaches in providing reproducible treatment response predictions. METHODS This systematic review was conducted in accordance with the PRISMA statement and the CHARMS checklist. We searched PubMed, Cochrane Library, Web of Science, Scopus, and EBSCO databases for cohort studies that derived and/or validated ML models focused on predicting rheumatoid arthritis (RA) treatment response. We extracted data and critically appraised studies based on the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) and Prediction Model Risk of Bias Assessment Tool (PROBAST) guidelines. RESULTS From 210 unduplicated records identified by the literature search, we retained 29 eligible studies. Of these studies, 10 developed a predictive model and reported a mean adherence to the TRIPOD guidelines of 45.6 % (95 % CI: 38.3-52.8 %). The remaining 19 studies not only developed a predictive model but also validated it externally, with a mean adherence of 42.9 % (95 % CI: 39.1-46.6 %). Most of the articles had an unclear risk of bias (41.4 %), followed by a high risk of bias, which was present in 37.9 %. CONCLUSIONS In recent years, ML methods have been increasingly used to predict treatment response in RA. Our critical appraisal revealed unclear and high risk of bias in most of the identified models, suggesting that researchers can do more to address the risk of bias and increase transparency, including the use of calibration measures and reporting methods for handling missing data. FUNDING None.
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Affiliation(s)
- Claudia Mendoza-Pinto
- Department of Rheumatology, Medicine School, Benemérita Universidad Autónoma de Puebla, Mexico; Rheumatology and Autoimmune Diseases Research Unit, Specialties Hospital UMAE-CIBIOR, Instituto Mexicano del Seguro Social, Puebla, Mexico
| | - Marcial Sánchez-Tecuatl
- Electronics Department, National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico
| | - Roberto Berra-Romani
- Department of Biomedicine, Medicine School, Benemérita Universidad Autónoma de Puebla, Mexico
| | | | - Ivet Etchegaray-Morales
- Department of Rheumatology, Medicine School, Benemérita Universidad Autónoma de Puebla, Mexico
| | - Pamela Munguía-Realpozo
- Department of Rheumatology, Medicine School, Benemérita Universidad Autónoma de Puebla, Mexico; Rheumatology and Autoimmune Diseases Research Unit, Specialties Hospital UMAE-CIBIOR, Instituto Mexicano del Seguro Social, Puebla, Mexico.
| | - Maura Cárdenas-García
- Cell Physiology Laboratory, Medicine School, Benemérita Universidad Autónoma de Puebla, Mexico.
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Lavie F, Rooney T. Hurdles in new drug development in rheumatic diseases. Joint Bone Spine 2024; 91:105672. [PMID: 38042361 DOI: 10.1016/j.jbspin.2023.105672] [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: 09/08/2023] [Revised: 11/05/2023] [Accepted: 11/14/2023] [Indexed: 12/04/2023]
Abstract
INTRODUCTION Rheumatic diseases are heterogenous conditions with multifactorial underlying physiologic pathogeneses. Despite recent progress in the identification and development of advanced therapies primarily focusing on disrupting the immunological abnormalities that cause these conditions, rheumatic disease management remains challenging in a notable proportion of patients, with many exhibiting uncontrolled or refractory disease activity. New and improved therapies are needed to respond to this treatment gap. However, there are important hurdles that can affect the expedited identification and assessment of new treatments. METHODS We present a review of key hurdles in the development of antirheumatic agents, as well as possible solutions to these obstacles. RESULTS We highlight the challenges presented by incomplete understanding of the complexity of rheumatic disease pathophysiology and the resultant difficulties in the identification, development, and evaluation of new therapies. We further explore the diversity of the underlying disease processes leading to heterogeneity in patient response to treatment, necessitating the re-design of clinical trials of antirheumatic agents to detect efficacy signals and better inform clinical disease management. Finally, emergent strategies and methodologies with potential to improve upon these hurdles are presented. CONCLUSION New and modified study designs and research tools that leverage ongoing advancements in the elucidation of rheumatic disease pathogenesis coupled with progress in methods to mine available data will be instrumental in overcoming current hurdles in antirheumatic drug development.
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Affiliation(s)
- Frederic Lavie
- The Janssen Pharmaceutical Companies of Johnson & Johnson, 1, rue Camille-Desmoulins, TSA 91003, 92787 Issy-lès-Moulineaux cedex 9, France.
| | - Terence Rooney
- The Janssen Pharmaceutical Companies of Johnson & Johnson, Janssen Research & Development, LLC, Immunology, 1400 McKean Road, Spring House, 19477 PA, USA
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Edalat SG, Gerber R, Houtman M, Lückgen J, Teixeira RL, Palacios Cisneros MDP, Pfanner T, Kuret T, Ižanc N, Micheroli R, Polido-Pereira J, Saraiva F, Lingam S, Burki K, Burja B, Pauli C, Rotar Ž, Tomšič M, Čučnik S, Fonseca JE, Distler O, Calado Â, Romão VC, Ospelt C, Sodin-Semrl S, Robinson MD, Frank Bertoncelj M. Molecular maps of synovial cells in inflammatory arthritis using an optimized synovial tissue dissociation protocol. iScience 2024; 27:109707. [PMID: 38832018 PMCID: PMC11144743 DOI: 10.1016/j.isci.2024.109707] [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: 07/21/2023] [Revised: 02/25/2024] [Accepted: 04/06/2024] [Indexed: 06/05/2024] Open
Abstract
In this study, we optimized the dissociation of synovial tissue biopsies for single-cell omics studies and created a single-cell atlas of human synovium in inflammatory arthritis. The optimized protocol allowed consistent isolation of highly viable cells from tiny fresh synovial biopsies, minimizing the synovial biopsy drop-out rate. The synovium scRNA-seq atlas contained over 100,000 unsorted synovial cells from 25 synovial tissues affected by inflammatory arthritis, including 16 structural, 11 lymphoid, and 15 myeloid cell clusters. This synovial cell map expanded the diversity of synovial cell types/states, detected synovial neutrophils, and broadened synovial endothelial cell classification. We revealed tissue-resident macrophage subsets with proposed matrix-sensing (FOLR2+COLEC12high) and iron-recycling (LYVE1+SLC40A1+) activities and identified fibroblast subsets with proposed functions in cartilage breakdown (SOD2highSAA1+SAA2+SDC4+) and extracellular matrix remodeling (SERPINE1+COL5A3+LOXL2+). Our study offers an efficient synovium dissociation method and a reference scRNA-seq resource, that advances the current understanding of synovial cell heterogeneity in inflammatory arthritis.
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Affiliation(s)
- Sam G. Edalat
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
| | - Reto Gerber
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
- Department of Molecular Life Sciences and SIB, Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland
| | - Miranda Houtman
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
| | | | - Rui Lourenço Teixeira
- Instituto de Medicina Molecular (iMM) João Lobo Antunes, Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Rheumatology Department, Hospital de Santa Maria, Lisbon Academic Medical Center, 1649-028 Lisbon, Portugal
| | | | | | - Tadeja Kuret
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
- Department of Rheumatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
| | - Nadja Ižanc
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
- Department of Rheumatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
| | - Raphael Micheroli
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
| | - Joaquim Polido-Pereira
- Instituto de Medicina Molecular (iMM) João Lobo Antunes, Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Rheumatology Department, Hospital de Santa Maria, Lisbon Academic Medical Center, 1649-028 Lisbon, Portugal
| | - Fernando Saraiva
- Instituto de Medicina Molecular (iMM) João Lobo Antunes, Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Rheumatology Department, Hospital de Santa Maria, Lisbon Academic Medical Center, 1649-028 Lisbon, Portugal
| | - Swathi Lingam
- Team PTA, BioMed X Institute, 69120 Heidelberg, Germany
| | - Kristina Burki
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
| | - Blaž Burja
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
- Department of Rheumatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
| | - Chantal Pauli
- Department of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Žiga Rotar
- Department of Rheumatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Matija Tomšič
- Department of Rheumatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Saša Čučnik
- Department of Rheumatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
- Faculty of Pharmacy, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - João Eurico Fonseca
- Instituto de Medicina Molecular (iMM) João Lobo Antunes, Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Rheumatology Department, Hospital de Santa Maria, Lisbon Academic Medical Center, 1649-028 Lisbon, Portugal
| | - Oliver Distler
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
| | - Ângelo Calado
- Instituto de Medicina Molecular (iMM) João Lobo Antunes, Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
| | - Vasco C. Romão
- Instituto de Medicina Molecular (iMM) João Lobo Antunes, Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Faculdade de Medicina, University of Lisbon, 1649-028 Lisbon, Portugal
- Rheumatology Department, Hospital de Santa Maria, Lisbon Academic Medical Center, 1649-028 Lisbon, Portugal
| | - Caroline Ospelt
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
| | - Snežna Sodin-Semrl
- Department of Rheumatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
- Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, 6000 Koper, Slovenia
| | - Mark D. Robinson
- Department of Molecular Life Sciences and SIB, Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland
| | - Mojca Frank Bertoncelj
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital Zurich and University of Zurich, 8952 Schlieren, Switzerland
- Department of Molecular Life Sciences and SIB, Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland
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7
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Naser IH, Zaid M, Ali E, Jabar HI, Mustafa AN, Alubiady MHS, Ramadan MF, Muzammil K, Khalaf RM, Jalal SS, Alawadi AH, Alsalamy A. Unveiling innovative therapeutic strategies and future trajectories on stimuli-responsive drug delivery systems for targeted treatment of breast carcinoma. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2024; 397:3747-3770. [PMID: 38095649 DOI: 10.1007/s00210-023-02885-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 12/02/2023] [Indexed: 05/23/2024]
Abstract
This comprehensive review delineates the latest advancements in stimuli-responsive drug delivery systems engineered for the targeted treatment of breast carcinoma. The manuscript commences by introducing mammary carcinoma and the current therapeutic methodologies, underscoring the urgency for innovative therapeutic strategies. Subsequently, it elucidates the logic behind the employment of stimuli-responsive drug delivery systems, which promise targeted drug administration and the minimization of adverse reactions. The review proffers an in-depth analysis of diverse types of stimuli-responsive systems, including thermoresponsive, pH-responsive, and enzyme-responsive nanocarriers. The paramount importance of material choice, biocompatibility, and drug loading strategies in the design of these systems is accentuated. The review explores characterization methodologies for stimuli-responsive nanocarriers and probes preclinical evaluations of their efficacy, toxicity, pharmacokinetics, and biodistribution in mammary carcinoma models. Clinical applications of stimuli-responsive systems, ongoing clinical trials, the potential of combination therapies, and the utility of multifunctional nanocarriers for the co-delivery of assorted drugs and therapies are also discussed. The manuscript addresses the persistent challenge of drug resistance in mammary carcinoma and the potential of stimuli-responsive systems in surmounting it. Regulatory and safety considerations, including FDA guidelines and biocompatibility assessments, are outlined. The review concludes by spotlighting future trajectories and emergent technologies in stimuli-responsive drug delivery, focusing on pioneering approaches, advancements in nanotechnology, and personalized medicine considerations. This review aims to serve as a valuable compendium for researchers and clinicians interested in the development of efficacious and safe stimuli-responsive drug delivery systems for the treatment of breast carcinoma.
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Affiliation(s)
- Israa Habeeb Naser
- Medical Laboratories Techniques Department, AL-Mustaqbal University, Hillah, Babil, Iraq
| | - Muhaned Zaid
- Department of Pharmacy, Al-Manara College for Medical Sciences, Maysan, Amarah, Iraq
| | - Eyhab Ali
- Al-Zahraa University for Women, Karbala, Iraq
| | - Hayder Imad Jabar
- Department of Pharmaceutics, College of Pharmacy, University of Al-Ameed, Karbala, Iraq
| | | | | | | | - Khursheed Muzammil
- Department of Public Health, College of Applied Medical Sciences, Khamis Mushait Campus, King Khalid University, Abha, Saudi Arabia
| | | | - Sarah Salah Jalal
- College of Pharmacy, National University of Science and Technology, Dhi Qar, Iraq
| | - Ahmed Hussien Alawadi
- College of Technical Engineering, the Islamic University, Najaf, Iraq
- College of Technical Engineering, the Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
- College of Technical Engineering, the Islamic University of Babylon, Babylon, Iraq
| | - Ali Alsalamy
- College of Technical Engineering, Imam Ja'afar Al-Sadiq University, Al-Muthanna, Iraq.
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8
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Weinand K, Sakaue S, Nathan A, Jonsson AH, Zhang F, Watts GFM, Al Suqri M, Zhu Z, Rao DA, Anolik JH, Brenner MB, Donlin LT, Wei K, Raychaudhuri S. The chromatin landscape of pathogenic transcriptional cell states in rheumatoid arthritis. Nat Commun 2024; 15:4650. [PMID: 38821936 PMCID: PMC11143375 DOI: 10.1038/s41467-024-48620-7] [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: 03/29/2023] [Accepted: 05/02/2024] [Indexed: 06/02/2024] Open
Abstract
Synovial tissue inflammation is a hallmark of rheumatoid arthritis (RA). Recent work has identified prominent pathogenic cell states in inflamed RA synovial tissue, such as T peripheral helper cells; however, the epigenetic regulation of these states has yet to be defined. Here, we examine genome-wide open chromatin at single-cell resolution in 30 synovial tissue samples, including 12 samples with transcriptional data in multimodal experiments. We identify 24 chromatin classes and predict their associated transcription factors, including a CD8 + GZMK+ class associated with EOMES and a lining fibroblast class associated with AP-1. By integrating with an RA tissue transcriptional atlas, we propose that these chromatin classes represent 'superstates' corresponding to multiple transcriptional cell states. Finally, we demonstrate the utility of this RA tissue chromatin atlas through the associations between disease phenotypes and chromatin class abundance, as well as the nomination of classes mediating the effects of putatively causal RA genetic variants.
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Affiliation(s)
- Kathryn Weinand
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saori Sakaue
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aparna Nathan
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anna Helena Jonsson
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine Division of Rheumatology and Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Gerald F M Watts
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Majd Al Suqri
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zhu Zhu
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Deepak A Rao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jennifer H Anolik
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Michael B Brenner
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura T Donlin
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Kevin Wei
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
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9
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Ghirardi GM, Delrosso CA, Nerviani A, Boutet MA. Molecular portrait of chronic joint diseases: Defining endotypes toward personalized medicine. Joint Bone Spine 2024; 91:105692. [PMID: 38246575 DOI: 10.1016/j.jbspin.2024.105692] [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: 11/15/2023] [Revised: 12/21/2023] [Accepted: 01/03/2024] [Indexed: 01/23/2024]
Abstract
Joint diseases affect hundreds of millions of people worldwide, and their prevalence is constantly increasing. To date, despite recent advances in the development of therapeutic options for most rheumatic conditions, a significant proportion of patients still lack efficient disease management, considerably impacting their quality of life. Through the spectrum of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and osteoarthritis (OA) as quintessential and common rheumatic diseases, this review first provides an overview of their epidemiological and clinical features before exploring how the better definition of clinical phenotypes has helped their clinical management. It then discusses the recent progress in understanding the diversity of endotypes underlying disease phenotypes. Finally, this review highlights the current challenges of implementing molecular endotypes towards the personalized management of RA, PsA and OA patients in the future.
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Affiliation(s)
- Giulia Maria Ghirardi
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | | | - Alessandra Nerviani
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Marie-Astrid Boutet
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, UK; Nantes Université, Oniris, INSERM, Regenerative Medicine and Skeleton, RMeS, UMR 1229, 44000 Nantes, France.
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10
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Aterido A, López-Lasanta M, Blanco F, Juan-Mas A, García-Vivar ML, Erra A, Pérez-García C, Sánchez-Fernández SÁ, Sanmartí R, Fernández-Nebro A, Alperi-López M, Tornero J, Ortiz AM, Fernández-Cid CM, Palau N, Pan W, Byrne-Steele M, Starenki D, Weber D, Rodriguez-Nunez I, Han J, Myers RM, Marsal S, Julià A. Seven-chain adaptive immune receptor repertoire analysis in rheumatoid arthritis reveals novel features associated with disease and clinically relevant phenotypes. Genome Biol 2024; 25:68. [PMID: 38468286 PMCID: PMC10926600 DOI: 10.1186/s13059-024-03210-0] [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: 03/04/2022] [Accepted: 03/04/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND In rheumatoid arthritis (RA), the activation of T and B cell clones specific for self-antigens leads to the chronic inflammation of the synovium. Here, we perform an in-depth quantitative analysis of the seven chains that comprise the adaptive immune receptor repertoire (AIRR) in RA. RESULTS In comparison to controls, we show that RA patients have multiple and strong differences in the B cell receptor repertoire including reduced diversity as well as altered isotype, chain, and segment frequencies. We demonstrate that therapeutic tumor necrosis factor inhibition partially restores this alteration but find a profound difference in the underlying biochemical reactivities between responders and non-responders. Combining the AIRR with HLA typing, we identify the specific T cell receptor repertoire associated with disease risk variants. Integrating these features, we further develop a molecular classifier that shows the utility of the AIRR as a diagnostic tool. CONCLUSIONS Simultaneous sequencing of the seven chains of the human AIRR reveals novel features associated with the disease and clinically relevant phenotypes, including response to therapy. These findings show the unique potential of AIRR to address precision medicine in immune-related diseases.
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Affiliation(s)
- Adrià Aterido
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
| | - María López-Lasanta
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
| | - Francisco Blanco
- Rheumatology Department, Hospital Juan Canalejo, A Coruña, Spain
| | | | | | - Alba Erra
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
- Rheumatology Department, Hospital Sant Rafael, Barcelona, Spain
| | | | | | - Raimon Sanmartí
- Rheumatology Department, Hospital Clínic de Barcelona and IDIBAPS, Barcelona, Spain
| | | | | | - Jesús Tornero
- Rheumatology Department, Hospital Universitario Guadalajara, Guadalajara, Spain
| | - Ana María Ortiz
- Rheumatology Department, Hospital Universitario La Princesa, IIS La Princesa, Madrid, Spain
| | | | - Núria Palau
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
| | | | | | | | | | | | - Jian Han
- iRepertoire Inc, Huntsville, AL, USA
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Sara Marsal
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
| | - Antonio Julià
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain.
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11
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Triaille C, Quartier P, De Somer L, Durez P, Lauwerys BR, Verschueren P, Taylor PC, Wouters C. Patterns and determinants of response to novel therapies in juvenile and adult-onset polyarthritis. Rheumatology (Oxford) 2024; 63:594-607. [PMID: 37725352 PMCID: PMC10907821 DOI: 10.1093/rheumatology/kead490] [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: 07/14/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 09/21/2023] Open
Abstract
Biologic and targeted synthetic DMARDs (b/tsDMARDs) have revolutionized the management of multiple rheumatic inflammatory conditions. Among these, polyarticular JIA (pJIA) and RA display similarities in terms of disease pathophysiology and response pattern to b/tsDMARDs. Indeed, the therapeutic efficacy of novel targeted drugs is variable among individual patients, in both RA and pJIA. The mechanisms and determinants of this heterogeneous response are diverse and complex, such that the development of true 'precision'-medicine strategies has proven highly challenging. In this review, we will discuss pathophysiological, patient-specific, drug-specific and environmental factors contributing to individual therapeutic response in pJIA in comparison with what is known in RA. Although some biomarkers have been identified that stratify with respect to the likelihood of either therapeutic response or non-response, few have proved useful in clinical practice so far, likely due to the complexity of treatment-response mechanisms. Consequently, we propose a pragmatic, patient-centred and clinically based approach, i.e. personalized instead of biomarker-based precision medicine in JIA.
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Affiliation(s)
- Clément Triaille
- Pôle de Pathologies Rhumatismales Systémiques et Inflammatoires, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium
- Department of Pediatric Hematology, Oncology, Immunology and Rheumatology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Division of Pediatric Rheumatology, Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
| | - Pierre Quartier
- Department of Pediatric Immunology, Hematology and Rheumatology, Necker-Enfants Malades Hospital, AP-HP, Paris, France
- Université Paris-Cité, Paris, France
- Member of the European Reference Network for Rare Immunodeficiency, Autoinflammatory and Autoimmune Diseases – Project ID No. 739543
| | - Lien De Somer
- Division of Pediatric Rheumatology, Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Member of the European Reference Network for Rare Immunodeficiency, Autoinflammatory and Autoimmune Diseases – Project ID No. 739543
- Department of Microbiology and Immunology, University of Leuven, Leuven, Belgium
| | - Patrick Durez
- Pôle de Pathologies Rhumatismales Systémiques et Inflammatoires, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium
- Department of Rheumatology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Bernard R Lauwerys
- Pôle de Pathologies Rhumatismales Systémiques et Inflammatoires, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium
| | - Patrick Verschueren
- Member of the European Reference Network for Rare Immunodeficiency, Autoinflammatory and Autoimmune Diseases – Project ID No. 739543
- Department of Rheumatology, University Hospitals Leuven, Leuven, Belgium
| | - Peter C Taylor
- Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Carine Wouters
- Division of Pediatric Rheumatology, Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Pediatric Immunology, Hematology and Rheumatology, Necker-Enfants Malades Hospital, AP-HP, Paris, France
- Member of the European Reference Network for Rare Immunodeficiency, Autoinflammatory and Autoimmune Diseases – Project ID No. 739543
- Department of Microbiology and Immunology, University of Leuven, Leuven, Belgium
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12
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Pitzalis C. Advances in Targeted Therapies (ATT) What's cooking in the academic's kitchen? 3TR (IMI). Semin Arthritis Rheum 2024; 64S:152317. [PMID: 38087754 DOI: 10.1016/j.semarthrit.2023.152317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 03/11/2024]
Affiliation(s)
- Costantino Pitzalis
- Faculty of Medicine & Dentistry, Queen Mary University of London, 2nd Floor, John Vane Science Centre, Charterhouse Square, London EC1M 6BQ, UK.
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13
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Lewis MJ. Predicting best treatment in rheumatoid arthritis. Semin Arthritis Rheum 2024; 64S:152329. [PMID: 38008706 DOI: 10.1016/j.semarthrit.2023.152329] [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: 09/19/2023] [Accepted: 09/23/2023] [Indexed: 11/28/2023]
Abstract
BACKGROUND Although targeted biological treatments have transformed the outlook for patients with rheumatoid arthritis (RA), 40% of patients show poor clinical response, and there is an imperative to unravel the molecular pathways and mechanisms underlying non-response and disease progression. 5-20% of RA individuals do not respond to all current medications including biologic and targeted therapies, which suggests that distinct pathogenic processes underlie multi-drug refractoriness. OBJECTIVES In this brief review we discuss advances from recent studies in precision medicine in rheumatoid arthritis. METHODS Bulk RNA-Sequencing of synovial biopsies from RA individuals combined with histology and deep clinical phenotyping has revealed substantial insights into divergent pathogenic pathways which lead to disease progression and illuminated mechanisms underlying failure to response to specific treatments. Biopsy-driven randomised controlled trials, such as R4RA and the forthcoming STRAP trial, have enabled the development of machine learning predictive models for predicting response to different therapies. RESULTS In the Pathobiology of Early Arthritis Cohort (PEAC), gene expression analysis showed that individuals could be classified into three gene expression subgroups which correlated with histopathotypes defined by histological markers: pauci-immune fibroid pathotype characterised by fibroblasts and an absence of immune inflammatory cells; diffuse-myeloid pathotype characterised by macrophage influx; and the lympho-myeloid pathotype delineated by the presence of B cells, but typically containing a complex inflammatory infiltrate with ectopic lymphoid structure formation. In the R4RA biopsy-driven randomised controlled trial, patients were randomised to either rituximab or tocilizumab. Comprehensive analysis of synovial biopsies pre/post-treatment identified gene signatures of response associated with pathogenic pathways which could be tracked over time. A group of true refractory patients were identified who had failed anti-TNF prior to the study (it was an entry criterion) and then subsequently failed both trial biologics during the trial. RNA-Seq analysis and digital spatial profiling identified specific cell types including DKK3+ fibroblasts as being associated with the refractory state. We identified machine learning predictive models based on specific gene signatures which were able to predict future response to therapy as well as the refractory state. CONCLUSIONS RNA-sequencing of synovial biopsies has enabled substantial progress in understanding disease endotypes in RA and identifying synovial gene signatures which predict prognosis and future response to treatment.
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Affiliation(s)
- Myles J Lewis
- Centre for Experimental Medicine & Rheumatology, EULAR Centre of Excellence, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom; Barts Health NHS Trust, Barts Biomedical Research Centre (BRC) National Institute for Health and Care Research (NIHR), London, United Kingdom; Alan Turing Institute, London, United Kingdom.
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14
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López-Domínguez R, Villatoro-García JA, Marañón C, Goldman D, Petri M, Carmona-Sáez P, Alarcón-Riquelme M, Toro-Dominguez D. Immune and molecular landscape behind non-response to Mycophenolate Mofetil and Azathioprine in lupus nephritis therapy. RESEARCH SQUARE 2024:rs.3.rs-3783877. [PMID: 38260685 PMCID: PMC10802741 DOI: 10.21203/rs.3.rs-3783877/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Lupus nephritis (LN) represents one of the most severe complications of systemic lupus erythematosus, leading to end-stage kidney disease in worst cases. Current first-line therapies for LN, including mycophenolate mofetil (MMF) and azathioprine (AZA), fail to induce long-term remission in 60-70% of the patients, evidencing the urgent need to delve into the molecular knowledge-gap behind the non-response to these therapies. A longitudinal cohort of treated LN patients including clinical, cellular and transcriptomic data, was analyzed. Gene-expression signatures behind non-response to different drugs were revealed by differential expression analysis. Drug-specific non-response mechanisms and cell proportion differences were identified. Blood cell subsets mediating non-response were described using single-cell RNASeq data. We show that AZA and MMF non-response implicates different cells and regulatory functions. Mechanistic models were used to suggest add-on therapies to improve their current performance. Our results provide new insights into the molecular mechanisms associated with treatment failures in LN.
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Affiliation(s)
- Raúl López-Domínguez
- GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada
| | - Juan Antonio Villatoro-García
- GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada
| | - Concepción Marañón
- Department of Medical Genomics, Center for Genomics and Oncological Research (GENYO)
| | | | | | - Pedro Carmona-Sáez
- Department of Bioinformatics, Center for Genomics and Oncological Research (GENYO)
| | | | - Daniel Toro-Dominguez
- GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada
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15
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Garaffoni C, Tamussin M, Calciolari I, Lanza G, Bortoluzzi A, Scirè CA, Govoni M, Silvagni E. High-grade synovitis associates with clinical markers and response to therapy in chronic inflammatory arthritis: post hoc analysis of a synovial biomarkers prospective cohort study. Front Immunol 2024; 14:1298583. [PMID: 38274811 PMCID: PMC10808827 DOI: 10.3389/fimmu.2023.1298583] [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: 09/25/2023] [Accepted: 12/26/2023] [Indexed: 01/27/2024] Open
Abstract
Background Inflammatory arthritis (IAs), such as rheumatoid arthritis (RA) and psoriatic arthritis (PsA), are characterized by the presence of chronic synovitis. The Krenn's synovitis score (KSS), a simple tool detectable by haematoxylin/eosin staining of synovial biopsy samples, allows the discrimination between high-grade and low-grade synovitis. The aim of this study was to identify the clinical associations of KSS and to evaluate the relationship between high-grade synovitis and treatment response in IA patients. Methods Clinical, laboratory and ultrasound data were retrieved from RA and PsA patients recruited in the prospective MATRIX cohort study. Inclusion criteria were age≥18 years, RA or PsA diagnosis, and presence of active disease with eligibility to start/modify therapy. Patients underwent ultrasound-guided synovial biopsy of one of the most involved joints before starting/modifying treatment according to treat-to-target strategy. The samples were analysed by an expert pathologist for KSS calculation. Univariable and multivariable logistic regression analyses were performed to evaluate the relationship between KSS and baseline variables. The association between KSS and treatment response at 24 weeks of follow-up was investigated in univariable logistic regression analysis. Results 53 patients, 34 RA and 19 PsA, completed 24 weeks of follow-up after synovial biopsy. Patients were either treatment naïve (N=6, 11%), csDMARDs-experienced (N=46, 87%) or b/tsDMARDs-experienced (N=20, 38%). Median KSS was 6.00 (Q1-Q3 4.00-7.00) in RA and 4.00 (3.00-6.00) in PsA (p=0.040), and inflammatory infiltrates score was significantly higher in RA than in PsA patients (median 3.00 vs 2.00, p=0.021). In multivariable analysis, synovial effusion in the biopsied joint (OR 9.26, 95%CI 2.12-53.91) and erythrocyte sedimentation rate (ESR) (OR 1.04, 95%CI 1.01-1.08) associated with high KSS. High-grade synovitis significantly associated with a higher probability of achieving DAS28 remission, ACR20/50 response, and Boolean2.0 remission, independently from diagnosis. Conclusion Several markers of pro-inflammatory pathways associated with the presence of high-grade synovitis, and patients with higher KSS shared a higher probability of treatment targets achievement in the follow up. The integration of a simple and feasible tool like KSS in the clinical and prognostic stratification of patients with IA might help in intercepting patients with a disease more prone to respond to available treatment paradigms.
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Affiliation(s)
- Carlo Garaffoni
- Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Ferrara, Italy
| | - Marianna Tamussin
- Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Ferrara, Italy
| | - Ilaria Calciolari
- Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Ferrara, Italy
| | - Giovanni Lanza
- Anatomic Pathology, Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Alessandra Bortoluzzi
- Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Ferrara, Italy
| | - Carlo Alberto Scirè
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) San Gerardo dei Tintori Foundation, Monza, Italy
- School of Medicine, University of Milano Bicocca, Milan, Italy
| | - Marcello Govoni
- Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Ferrara, Italy
| | - Ettore Silvagni
- Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Ferrara, Italy
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16
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Triaille C, Tilman G, Sokolova T, Loriot A, Marchandise J, De Montjoye S, Nzeusseu-Toukap A, Méric de Bellefon L, Bouzin C, Galant C, Durez P, Lauwerys BR, Limaye N. Disease activity drives transcriptomic heterogeneity in early untreated rheumatoid synovitis. Ann Rheum Dis 2023; 82:1538-1546. [PMID: 37507201 PMCID: PMC10646909 DOI: 10.1136/ard-2023-224068] [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: 02/22/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023]
Abstract
OBJECTIVES Transcriptomic profiling of synovial tissue from patients with early, untreated rheumatoid arthritis (RA) was used to explore the ability of unbiased, data-driven approaches to define clinically relevant subgroups. METHODS RNASeq was performed on 74 samples, with disease activity data collected at inclusion. Principal components analysis (PCA) and unsupervised clustering were used to define patient clusters based on expression of the most variable genes, followed by pathway analysis and inference of relative abundance of immune cell subsets. Histological assessment and multiplex immunofluorescence (for CD45, CD68, CD206) were performed on paraffin sections. RESULTS PCA on expression of the (n=894) most variable genes across this series did not divide samples into distinct groups, instead yielding a continuum correlated with baseline disease activity. Two patient clusters (PtC1, n=52; PtC2, n=22) were defined based on expression of these genes. PtC1, with significantly higher disease activity and probability of response to methotrexate therapy, showed upregulation of immune system genes; PtC2 showed upregulation of lipid metabolism genes, described to characterise tissue resident or M2-like macrophages. In keeping with these data, M2-like:M1-like macrophage ratios were inversely correlated with disease activity scores and were associated with lower synovial immune infiltration and the presence of thinner, M2-like macrophage-rich synovial lining layers. CONCLUSION In this large series of early, untreated RA, we show that the synovial transcriptome closely mirrors clinical disease activity and correlates with synovial inflammation. Intriguingly, lower inflammation and disease activity are associated with higher ratios of M2:M1 macrophages, particularly striking in the synovial lining layer. This may point to a protective role for tissue resident macrophages in RA.
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Affiliation(s)
- Clément Triaille
- Service d'Hématologie, Oncologie et Rhumatologie pédiatrique, Cliniques universitaires Saint-Luc, Brussels, Belgium
- Pôle de pathologies rhumatismales systémiques et inflammatoires, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
| | - Gaëlle Tilman
- Pôle de pathologies rhumatismales systémiques et inflammatoires, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
- Genetics of Autoimmune Diseases and Cancer, de Duve Institute, Université catholique de Louvain, Brussels, Belgium
| | - Tatiana Sokolova
- Pôle de pathologies rhumatismales systémiques et inflammatoires, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
| | - Axelle Loriot
- Group of Computational Biology and Bioinformatics, de Duve Institute, Université catholique de Louvain, Brussels, Belgium
| | - Joelle Marchandise
- Pôle de pathologies rhumatismales systémiques et inflammatoires, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
| | | | | | | | - Caroline Bouzin
- IREC Imaging Platform (2IP), Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
| | - Christine Galant
- Service d'Anatomie Pathologique, Cliniques universitaires Saint-Luc, Brussels, Belgium
| | - Patrick Durez
- Pôle de pathologies rhumatismales systémiques et inflammatoires, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
- Service de Rhumatologie, Cliniques universitaires Saint-Luc, Brussels, Belgium
| | - Bernard R Lauwerys
- Pôle de pathologies rhumatismales systémiques et inflammatoires, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
| | - Nisha Limaye
- Genetics of Autoimmune Diseases and Cancer, de Duve Institute, Université catholique de Louvain, Brussels, Belgium
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17
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Wang Z, Zhang C, Meng J, Jiao Z, Bao W, Tian H, Wu C, Chai W, Li R, Liu Z, Ma G, Mei X, Wei W. A Targeted Exosome Therapeutic Confers Both CfDNA Scavenging and Macrophage Polarization for Ameliorating Rheumatoid Arthritis. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2302503. [PMID: 37681753 DOI: 10.1002/adma.202302503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 08/20/2023] [Indexed: 09/09/2023]
Abstract
Only a minority of rheumatoid arthritis (RA) patients achieve disease remission, so the exploration of additional pathogenic factors and the development of new therapeutics are needed. Here, strong correlations among the cell-free DNA (cfDNA) level and the inflammatory response in clinical synovial fluid samples and RA disease activity are discovered. The important role of cfDNA in disease development in a collagen-induced arthritis (CIA) murine model is also demonstrated. Building on these findings, a novel therapeutic based on anti-inflammatory (M2) macrophage-derived exosomes as chassis, that are modified with both oligolysine and matrix metalloproteinase (MMP)-cleavable polyethylene glycol (PEG) on the membrane, is developed. After intravenous injection, PEG-enabled prolonged circulation and C─C motif chemokine ligand-directed accumulation together result in enrichment at inflamed joints. Following subsequent MMP cleavage, the positively charged oligolysine is exposed for cfDNA scavenging, while exosomes induce M2 polarization. By using a classical CIA murine model and a newly established CIA canine model, it is demonstrated that the rationally designed exosome therapeutic substantially suppresses inflammation in joints and provides strong chondroprotection and osteoprotection, revealing its potential for effective CIA amelioration.
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Affiliation(s)
- Zhe Wang
- Department of Orthopedics, Third Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121002, P. R. China
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, P. R. China
- Key Laboratory of Medical Tissue Engineering of Liaoning, Jinzhou Medical University, Jinzhou, 121001, P. R. China
| | - Chuanjie Zhang
- Department of Orthopedics, Third Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121002, P. R. China
- Key Laboratory of Medical Tissue Engineering of Liaoning, Jinzhou Medical University, Jinzhou, 121001, P. R. China
| | - Jiaqi Meng
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, P. R. China
| | - Zhouguang Jiao
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, P. R. China
| | - Weier Bao
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, P. R. China
| | - He Tian
- Key Laboratory of Medical Tissue Engineering of Liaoning, Jinzhou Medical University, Jinzhou, 121001, P. R. China
| | - Chao Wu
- Key Laboratory of Medical Tissue Engineering of Liaoning, Jinzhou Medical University, Jinzhou, 121001, P. R. China
| | - Wei Chai
- Senior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, 100037, P. R. China
| | - Rui Li
- Senior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, 100037, P. R. China
| | - Zheng Liu
- Senior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, 100037, P. R. China
| | - Guanghui Ma
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, P. R. China
- School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Xifan Mei
- Department of Orthopedics, Third Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121002, P. R. China
- Key Laboratory of Medical Tissue Engineering of Liaoning, Jinzhou Medical University, Jinzhou, 121001, P. R. China
| | - Wei Wei
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, P. R. China
- School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
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18
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Rivellese F, Nerviani A, Giorli G, Warren L, Jaworska E, Bombardieri M, Lewis MJ, Humby F, Pratt AG, Filer A, Gendi N, Cauli A, Choy E, McInnes I, Durez P, Edwards CJ, Buch MH, Gremese E, Taylor PC, Ng N, Cañete JD, Raizada S, McKay ND, Jadon D, Sainaghi PP, Stratton R, Ehrenstein MR, Ho P, Pereira JP, Dasgupta B, Gorman C, Galloway J, Chinoy H, van der Heijde D, Sasieni P, Barton A, Pitzalis C. Stratification of biological therapies by pathobiology in biologic-naive patients with rheumatoid arthritis (STRAP and STRAP-EU): two parallel, open-label, biopsy-driven, randomised trials. THE LANCET. RHEUMATOLOGY 2023; 5:e648-e659. [PMID: 38251532 DOI: 10.1016/s2665-9913(23)00241-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 08/29/2023] [Accepted: 09/05/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Despite highly effective targeted therapies for rheumatoid arthritis, about 40% of patients respond poorly, and predictive biomarkers for treatment choices are lacking. We did a biopsy-driven trial to compare the response to rituximab, etanercept, and tocilizumab in biologic-naive patients with rheumatoid arthritis stratified for synovial B cell status. METHODS STRAP and STRAP-EU were two parallel, open-label, biopsy-driven, stratified, randomised, phase 3 trials done across 26 university centres in the UK and Europe. Biologic-naive patients aged 18 years or older with rheumatoid arthritis based on American College of Rheumatology (ACR)-European League Against Rheumatism classification criteria and an inadequate response to conventional synthetic disease-modifying antirheumatic drugs (DMARDs) were included. Following ultrasound-guided synovial biopsy, patients were classified as B cell poor or B cell rich according to synovial B cell signatures and randomly assigned (1:1:1) to intravenous rituximab (1000 mg at week 0 and week 2), subcutaneous tocilizumab (162 mg per week), or subcutaneous etanercept (50 mg per week). The primary outcome was the 16-week ACR20 response in the B cell-poor, intention-to-treat population (defined as all randomly assigned patients), with data pooled from the two trials, comparing etanercept and tocilizumab (grouped) versus rituximab. Safety was assessed in all patients who received at least one dose of study drug. These trials are registered with the EU Clinical Trials Register, 2014-003529-16 (STRAP) and 2017-004079-30 (STRAP-EU). FINDINGS Between June 8, 2015, and July 4, 2019, 226 patients were randomly assigned to etanercept (n=73), tocilizumab (n=74), and rituximab (n=79). Three patients (one in each group) were excluded after randomisation because they received parenteral steroids in the 4 weeks before recruitment. 168 (75%) of 223 patients in the intention-to-treat population were women and 170 (76%) were White. In the B cell-poor population, ACR20 response at 16 weeks (primary endpoint) showed no significant differences between etanercept and tocilizumab grouped together and rituximab (46 [60%] of 77 patients vs 26 [59%] of 44; odds ratio 1·02 [95% CI 0·47-2·17], p=0·97). No differences were observed for adverse events, including serious adverse events, which occurred in six (6%) of 102 patients in the rituximab group, nine (6%) of 108 patients in the etanercept group, and three (4%) of 73 patients in the tocilizumab group (p=0·53). INTERPRETATION In this biologic-naive population of patients with rheumatoid arthrtitis, the dichotomic classification into synovial B cell poor versus rich did not predict treatment response to B cell depletion with rituximab compared with alternative treatment strategies. However, the lack of response to rituximab in patients with a pauci-immune pathotype and the higher risk of structural damage progression in B cell-rich patients treated with rituximab warrant further investigations into the ability of synovial tissue analyses to inform disease pathogenesis and treatment response. FUNDING UK Medical Research Council and Versus Arthritis.
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Affiliation(s)
- Felice Rivellese
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK; Barts Health NHS Trust and Barts Biomedical Research Centre, National Institute for Health and Care Research (NIHR), London, UK
| | - Alessandra Nerviani
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK; Barts Health NHS Trust and Barts Biomedical Research Centre, National Institute for Health and Care Research (NIHR), London, UK
| | - Giovanni Giorli
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Louise Warren
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Edyta Jaworska
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Michele Bombardieri
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK; Barts Health NHS Trust and Barts Biomedical Research Centre, National Institute for Health and Care Research (NIHR), London, UK
| | - Myles J Lewis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK; Barts Health NHS Trust and Barts Biomedical Research Centre, National Institute for Health and Care Research (NIHR), London, UK
| | - Frances Humby
- Barts Health NHS Trust and Barts Biomedical Research Centre, National Institute for Health and Care Research (NIHR), London, UK; Rheumatology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Arthur G Pratt
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK; Directorate of Musculoskeletal Services, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Andrew Filer
- Rheumatology Research Group, Institute for Inflammation and Ageing, NIHR Birmingham Biomedical Research Centre and Clinical Research Facility, University of Birmingham, Queen Elizabeth Hospital, Birmingham, UK
| | - Nagui Gendi
- Basildon University Hospital, Basildon and Thurrock University NHS Hospitals Foundation Trust, Basildon, UK
| | - Alberto Cauli
- Rheumatology Unit, AOU and University of Cagliari, Monserrato, Italy; UOC of Radiology, Ospedale SS Trinità, ATS Cagliari, Italy
| | - Ernest Choy
- CREATE Centre, Cardiff University, Cardiff, UK; Department of Rheumatology, University Hospital of Wales, Cardiff, UK
| | - Iain McInnes
- Glasgow Clinical Research Facility, Glasgow Royal Infirmary, Glasgow, UK
| | - Patrick Durez
- Institute of Experimental and Clinical Research, Université Catholique de Louvain, Brussels, Belgium; Department of Rheumatology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Christopher J Edwards
- NIHR Southampton Clinical Research Facility, University Hospital Southampton, Southampton, UK; Faculty of Medicine, University of Southampton, Southampton, UK
| | - Maya H Buch
- Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester, UK
| | - Elisa Gremese
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Peter C Taylor
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Oxford, UK
| | - Nora Ng
- Rheumatology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Juan D Cañete
- Rheumatology Department, Hospital Clínic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pí I Sunyer, Barcelona, Spain
| | - Sabrina Raizada
- New Cross Hospital and Cannock Chase Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, UK
| | - Neil D McKay
- Edinburgh Rheumatology Research Group and Rheumatic Diseases Unit, NHS Lothian, Edinburgh, UK
| | - Deepak Jadon
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Pier Paolo Sainaghi
- Department of Rheumatology, University Eastern Piedmont and Maggiore della Carita Hospital, Novara, Italy
| | - Richard Stratton
- Royal Free Hospital, Royal Free London NHS Foundation Trust, London, UK
| | | | - Pauline Ho
- The Kellgren Centre for Rheumatology, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK
| | - Joaquim P Pereira
- Rheumatology Department, Hospital De Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal; Rheumatology Research Unit, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Bhaskar Dasgupta
- Rheumatology Department, Mid and South Essex University Hospitals NHS Foundation Trust, Southend University Hospital, Westcliff-on-Sea, UK
| | - Claire Gorman
- Department of Rheumatology, Homerton University Hospital, Homerton Healthcare NHS Foundation Trust, London, UK
| | - James Galloway
- King's College Hospital, King's College Hospital NHS Foundation Trust, London, UK
| | - Hector Chinoy
- Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Department of Rheumatology, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, UK
| | | | - Peter Sasieni
- King's Clinical Trials Unit, Kings College London, London, UK
| | - Anne Barton
- Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Costantino Pitzalis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK; Barts Health NHS Trust and Barts Biomedical Research Centre, National Institute for Health and Care Research (NIHR), London, UK; IRCCS Humanitas Research Hospital, Milan, Italy.
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19
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Zheng H, Grayling MJ, Mozgunov P, Jaki T, Wason JMS. Bayesian sample size determination in basket trials borrowing information between subsets. Biostatistics 2023; 24:1000-1016. [PMID: 35993875 DOI: 10.1093/biostatistics/kxac033] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 07/22/2022] [Accepted: 07/29/2022] [Indexed: 12/31/2022] Open
Abstract
Basket trials are increasingly used for the simultaneous evaluation of a new treatment in various patient subgroups under one overarching protocol. We propose a Bayesian approach to sample size determination in basket trials that permit borrowing of information between commensurate subsets. Specifically, we consider a randomized basket trial design where patients are randomly assigned to the new treatment or control within each trial subset ("subtrial" for short). Closed-form sample size formulae are derived to ensure that each subtrial has a specified chance of correctly deciding whether the new treatment is superior to or not better than the control by some clinically relevant difference. Given prespecified levels of pairwise (in)commensurability, the subtrial sample sizes are solved simultaneously. The proposed Bayesian approach resembles the frequentist formulation of the problem in yielding comparable sample sizes for circumstances of no borrowing. When borrowing is enabled between commensurate subtrials, a considerably smaller trial sample size is required compared to the widely implemented approach of no borrowing. We illustrate the use of our sample size formulae with two examples based on real basket trials. A comprehensive simulation study further shows that the proposed methodology can maintain the true positive and false positive rates at desired levels.
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Affiliation(s)
- Haiyan Zheng
- MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK and Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK
| | - Michael J Grayling
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK
| | - Pavel Mozgunov
- MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Thomas Jaki
- MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK and University of Regensburg, 93040 Regensburg, Germany
| | - James M S Wason
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK
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20
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Amati F, Bongiovanni G, Tonutti A, Motta F, Stainer A, Mangiameli G, Aliberti S, Selmi C, De Santis M. Treatable Traits in Systemic Sclerosis. Clin Rev Allergy Immunol 2023; 65:251-276. [PMID: 37603199 DOI: 10.1007/s12016-023-08969-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2023] [Indexed: 08/22/2023]
Abstract
Systemic sclerosis (SSc) is a chronic systemic disease within the spectrum of connective tissue diseases, specifically characterized by vascular abnormalities and inflammatory and fibrotic involvement of the skin and internal organs resulting in high morbidity and mortality. The clinical phenotype of SSc is heterogeneous, and serum autoantibodies together with the extent of skin involvement have a predictive value in the risk stratification. Current recommendations include an organ-based management according to the predominant involvement with only limited individual factors included in the treatment algorithm. Similar to what has been proposed for other chronic diseases, we hypothesize that a "treatable trait" approach based on relevant phenotypes and endotypes could address the unmet needs in SSc stratification and treatment to maximize the outcomes. We provide herein a comprehensive review and a critical discussion of the literature regarding potential treatable traits in SSc, focusing on established and candidate biomarkers, with the purpose of setting the bases for a precision medicine-based approach. The discussion, structured based on the organ involvement, allows to conjugate the pathogenetic mechanisms of tissue injury with the proposed predictors, particularly autoantibodies and other serum biomarkers. Ultimately, we are convinced that precision medicine is the ideal guide to manage a complex condition such as SSc for which available treatments are largely unsatisfactory.
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Affiliation(s)
- Francesco Amati
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Respiratory Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Gabriele Bongiovanni
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Antonio Tonutti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Francesca Motta
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Anna Stainer
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Respiratory Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Giuseppe Mangiameli
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Stefano Aliberti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Respiratory Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Carlo Selmi
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
- Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
| | - Maria De Santis
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
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Minopoulou I, Kleyer A, Yalcin-Mutlu M, Fagni F, Kemenes S, Schmidkonz C, Atzinger A, Pachowsky M, Engel K, Folle L, Roemer F, Waldner M, D'Agostino MA, Schett G, Simon D. Imaging in inflammatory arthritis: progress towards precision medicine. Nat Rev Rheumatol 2023; 19:650-665. [PMID: 37684361 DOI: 10.1038/s41584-023-01016-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/31/2023] [Indexed: 09/10/2023]
Abstract
Imaging techniques such as ultrasonography and MRI have gained ground in the diagnosis and management of inflammatory arthritis, as these imaging modalities allow a sensitive assessment of musculoskeletal inflammation and damage. However, these techniques cannot discriminate between disease subsets and are currently unable to deliver an accurate prediction of disease progression and therapeutic response in individual patients. This major shortcoming of today's technology hinders a targeted and personalized patient management approach. Technological advances in the areas of high-resolution imaging (for example, high-resolution peripheral quantitative computed tomography and ultra-high field MRI), functional and molecular-based imaging (such as chemical exchange saturation transfer MRI, positron emission tomography, fluorescence optical imaging, optoacoustic imaging and contrast-enhanced ultrasonography) and artificial intelligence-based data analysis could help to tackle these challenges. These new imaging approaches offer detailed anatomical delineation and an in vivo and non-invasive evaluation of the immunometabolic status of inflammatory reactions, thereby facilitating an in-depth characterization of inflammation. By means of these developments, the aim of earlier diagnosis, enhanced monitoring and, ultimately, a personalized treatment strategy looms closer.
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Affiliation(s)
- Ioanna Minopoulou
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Arnd Kleyer
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Melek Yalcin-Mutlu
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Filippo Fagni
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Stefan Kemenes
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Christian Schmidkonz
- Department of Nuclear Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Institute for Medical Engineering, University of Applied Sciences Amberg-Weiden, Weiden, Germany
| | - Armin Atzinger
- Department of Nuclear Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Milena Pachowsky
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | | | - Lukas Folle
- Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Frank Roemer
- Institute of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Maximilian Waldner
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Department of Internal Medicine 1, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Maria-Antonietta D'Agostino
- Division of Rheumatology, Catholic University of the Sacred Heart, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Université Paris-Saclay, UVSQ, Inserm U1173, Infection et Inflammation, Laboratory of Excellence Inflamex, Montigny-Le-Bretonneux, France
| | - Georg Schett
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - David Simon
- Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
- Deutsches Zentrum Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
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22
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Hosack T, Thomas T, Ravindran R, Uhlig HH, Travis SPL, Buckley CD. Inflammation across tissues: can shared cell biology help design smarter trials? Nat Rev Rheumatol 2023; 19:666-674. [PMID: 37666996 DOI: 10.1038/s41584-023-01007-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2023] [Indexed: 09/06/2023]
Abstract
Immune-mediated inflammatory diseases (IMIDs) are responsible for substantial global disease burden and associated health-care costs. Traditional models of research and service delivery silo their management within organ-based medical disciplines. Very often patients with disease in one organ have comorbid involvement in another, suggesting shared pathogenic pathways. Moreover, different IMIDs are often treated with the same drugs (including glucocorticoids, immunoregulators and biologics). Unlocking the cellular basis of these diseases remains a major challenge, leading us to ask why, if these diseases have so much in common, they are not investigated in a common manner. A tissue-based, cellular understanding of inflammation might pave the way for cross-disease, cross-discipline basket trials (testing one drug across two or more diseases) to reduce the risk of failure of early-phase drug development in IMIDs. This new approach will enable rapid assessment of the efficacy of new therapeutic agents in cross-disease translational research in humans.
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Affiliation(s)
- Tom Hosack
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Tom Thomas
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Rahul Ravindran
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Hans Holm Uhlig
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
- Biomedical Research Centre, University of Oxford, Oxford, UK
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Simon Piers Leigh Travis
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
- Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Christopher Dominic Buckley
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK.
- Biomedical Research Centre, University of Oxford, Oxford, UK.
- Institute for Inflammation and Aging, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
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23
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Iaquinta FS, Rivellese F, Pitzalis C. Synovial biopsies for molecular definition of rheumatoid arthritis and treatment response phenotyping: where can we improve? Expert Rev Mol Diagn 2023; 23:1071-1076. [PMID: 37979075 DOI: 10.1080/14737159.2023.2284774] [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: 07/20/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION The extensive knowledge gained in the cellular and molecular mechanisms underlying Rheumatoid Arthritis (RA) pathogenesis has led to therapeutic advances. However, up to 10-20% of patients fail to respond to multiple therapeutic agents being classified as multi-drugresistant. A key challenge moving forward will be the implementation of synovial biopsies in clinical practice to facilitate the shift from the current trial-and-error strategy toward new forms of clinical trials. Biomarker-driven trials have the potential to improve drug selection and patient stratification, reduce economic costs and unnecessary drug-related toxicity. AREAS COVERED This special report explores the clinical and research applications of synovial biopsy, the advancement in the molecular pathobiology of RA to better understand disease pathogenesis and treatment response, and the way forward for the paradigm shift needed. EXPERT OPINION In the current era of highly targeted biologic drugs which have dramatically transformed the outlook of RA patients, the use of synovial biopsy represents a valuable practical tool to dissect disease pathogenesis and, consequently, treatment response. In the near future, it is hoped that technological advances will allow for speeding up synovial molecular analysis and that the design of new biomarker-driven trials will enable the allocation of patients to more effective treatment.
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Affiliation(s)
- Francesco Salvatore Iaquinta
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Felice Rivellese
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Costantino Pitzalis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
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24
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Fasano S, Milone A, Nicoletti GF, Isenberg DA, Ciccia F. Precision medicine in systemic lupus erythematosus. Nat Rev Rheumatol 2023; 19:331-342. [PMID: 37041269 DOI: 10.1038/s41584-023-00948-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2023] [Indexed: 04/13/2023]
Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disease that has diverse clinical manifestations, ranging from restricted cutaneous involvement to life-threatening systemic organ involvement. The heterogeneity of pathomechanisms that lead to SLE contributes to between-patient variation in clinical phenotype and treatment response. Ongoing efforts to dissect cellular and molecular heterogeneity in SLE could facilitate the future development of stratified treatment recommendations and precision medicine, which is a considerable challenge for SLE. In particular, some genes involved in the clinical heterogeneity of SLE and some phenotype-related loci (STAT4, IRF5, PDGF genes, HAS2, ITGAM and SLC5A11) have an association with clinical features of the disease. An important part is also played by epigenetic varation (in DNA methylation, histone modifications and microRNAs) that influences gene expression and affects cell function without modifying the genome sequence. Immune profiling can help to identify an individual's specific response to a therapy and can potentially predict outcomes, using techniques such as flow cytometry, mass cytometry, transcriptomics, microarray analysis and single-cell RNA sequencing. Furthermore, the identification of novel serum and urinary biomarkers would enable the stratification of patients according to predictions of long-term outcomes and assessments of potential response to therapy.
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Affiliation(s)
- Serena Fasano
- Rheumatology Unit, Department of Precision Medicine, Università Degli Studi Della Campania "Luigi Vanvitelli", Naples, Italy.
| | - Alessandra Milone
- Rheumatology Unit, Department of Precision Medicine, Università Degli Studi Della Campania "Luigi Vanvitelli", Naples, Italy
| | - Giovanni Francesco Nicoletti
- Multidisciplinary Department of Medical-Surgical and Dental Specialties, Università Degli Studi Della Campania "Luigi Vanvitelli", Naples, Italy
| | - David A Isenberg
- Department of Rheumatology, Division of Medicine, University College London, London, UK
| | - Francesco Ciccia
- Rheumatology Unit, Department of Precision Medicine, Università Degli Studi Della Campania "Luigi Vanvitelli", Naples, Italy.
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25
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Weinand K, Sakaue S, Nathan A, Jonsson AH, Zhang F, Watts GFM, Zhu Z, Rao DA, Anolik JH, Brenner MB, Donlin LT, Wei K, Raychaudhuri S. The Chromatin Landscape of Pathogenic Transcriptional Cell States in Rheumatoid Arthritis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.07.536026. [PMID: 37066336 PMCID: PMC10104143 DOI: 10.1101/2023.04.07.536026] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Synovial tissue inflammation is the hallmark of rheumatoid arthritis (RA). Recent work has identified prominent pathogenic cell states in inflamed RA synovial tissue, such as T peripheral helper cells; however, the epigenetic regulation of these states has yet to be defined. We measured genome-wide open chromatin at single cell resolution from 30 synovial tissue samples, including 12 samples with transcriptional data in multimodal experiments. We identified 24 chromatin classes and predicted their associated transcription factors, including a CD8+ GZMK+ class associated with EOMES and a lining fibroblast class associated with AP-1. By integrating an RA tissue transcriptional atlas, we found that the chromatin classes represented 'superstates' corresponding to multiple transcriptional cell states. Finally, we demonstrated the utility of this RA tissue chromatin atlas through the associations between disease phenotypes and chromatin class abundance as well as the nomination of classes mediating the effects of putatively causal RA genetic variants.
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Affiliation(s)
- Kathryn Weinand
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saori Sakaue
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aparna Nathan
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anna Helena Jonsson
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology and the Center for Health Artificial Intelligence, University of Colorado School of Medicine, Aurora, CO, USA
| | - Gerald F. M. Watts
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Zhu Zhu
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Deepak A. Rao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jennifer H. Anolik
- Division of Allergy, Immunology and Rheumatology; Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Michael B. Brenner
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura T. Donlin
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Kevin Wei
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
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26
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Wedderburn LR, Ramanan AV, Croft AP, Hyrich KL, Dick AD. Towards molecular-pathology informed clinical trials in childhood arthritis to achieve precision medicine in juvenile idiopathic arthritis. Ann Rheum Dis 2023; 82:449-456. [PMID: 36600186 PMCID: PMC10086280 DOI: 10.1136/ard-2022-222553] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/23/2022] [Indexed: 12/12/2022]
Abstract
In childhood arthritis, collectively known as Juvenile idiopathic arthritis (JIA), the rapid rise of available licensed biological and targeted small molecule treatments in recent years has led to improved outcomes. However, real-world data from multiple countries and registries show that despite a large number of available drugs, many children and young people continue to suffer flares and experience significant periods of time with active disease for many years. More than 50% of young people with JIA require ongoing immune suppression well into adult life, and they may have to try multiple different treatments in that time. There are currently no validated tools with which to select specific treatments, nor biomarkers of response to assist in such choices, therefore, current management uses essentially a trial-and-error approach. A further consequence of recent progress is a reducing pool of available children or young people who are eligible for new trials. In this review we consider how progress towards a molecular based approach to defining treatment targets and informing trial design in JIA, combined with novel approaches to clinical trials, could provide strategies to maximise discovery and progress, in order to move towards precision medicine for children with arthritis.
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Affiliation(s)
- Lucy R Wedderburn
- UCL GOS Institute of Child Health, University College London, London, UK
- Centre for Adolescent Rheumatology Versus Arthritis at UCL UCLH and GOSH, UCL, London, UK
- National Institute of Health Research Biomedical Research Centre at GOSH London UK, Great Ormond Street Hospital, London, UK
| | - Athimalaipet V Ramanan
- Department of Paediatric Rheumatology, Bristol Royal Hospital for Children, Bristol, UK
- Translational Health Sciences, University of Bristol, Bristol, UK
| | - Adam P Croft
- Rheumatology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- National Institute of Health Research Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Kimme L Hyrich
- Centre for Epidemiology Versus Arthritis, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- National Institute of Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Andrew D Dick
- Translational Health Sciences, University of Bristol, Bristol, UK
- UCL Institute of Ophthalmology, University College London, London, UK
- National Institute of Health Research Biomedical Research Centre, Moorfields and UCL Institute of Ophthalmology, London, UK
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27
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Ciliento MS, Venturelli V, Schettini N, Bertola R, Garaffoni C, Lanza G, Gafà R, Borghi A, Corazza M, Zabotti A, Missiroli S, Boncompagni C, Patergnani S, Perrone M, Giorgi C, Pinton P, Govoni M, Scirè CA, Bortoluzzi A, Silvagni E. Evaluation of the Synovial Effects of Biological and Targeted Synthetic DMARDs in Patients with Psoriatic Arthritis: A Systematic Literature Review and Meta-Analysis. Int J Mol Sci 2023; 24:5006. [PMID: 36902437 PMCID: PMC10002880 DOI: 10.3390/ijms24055006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/26/2023] [Accepted: 02/27/2023] [Indexed: 03/08/2023] Open
Abstract
The aims of this systematic literature review (SLR) were to identify the effects of approved biological and targeted synthetic disease modifying antirheumatic drugs (b/tsDMARDs) on synovial membrane of psoriatic arthritis (PsA) patients, and to determine the existence of histological/molecular biomarkers of response to therapy. A search was conducted on MEDLINE, Embase, Scopus, and Cochrane Library (PROSPERO:CRD42022304986) to retrieve data on longitudinal change of biomarkers in paired synovial biopsies and in vitro studies. A meta-analysis was conducted by adopting the standardized mean difference (SMD) as a measure of the effect. Twenty-two studies were included (19 longitudinal, 3 in vitro). In longitudinal studies, TNF inhibitors were the most used drugs, while, for in vitro studies, JAK inhibitors or adalimumab/secukinumab were assessed. The main technique used was immunohistochemistry (longitudinal studies). The meta-analysis showed a significant reduction in both CD3+ lymphocytes (SMD -0.85 [95% CI -1.23; -0.47]) and CD68+ macrophages (sublining, sl) (SMD -0.74 [-1.16; -0.32]) in synovial biopsies from patients treated for 4-12 weeks with bDMARDs. Reduction in CD3+ mostly correlated with clinical response. Despite heterogeneity among the biomarkers evaluated, the reduction in CD3+/CD68+sl cells during the first 3 months of treatment with TNF inhibitors represents the most consistent variation reported in the literature.
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Affiliation(s)
- Maria Sofia Ciliento
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Cona, Italy
- Department of Precision Medicine, University della Campania L. Vanvitelli, 80138 Naples, Italy
| | - Veronica Venturelli
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Cona, Italy
| | - Natale Schettini
- Section of Dermatology, Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy
| | - Riccardo Bertola
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Cona, Italy
| | - Carlo Garaffoni
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Cona, Italy
| | - Giovanni Lanza
- Anatomic Pathology, Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Roberta Gafà
- Anatomic Pathology, Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Alessandro Borghi
- Section of Dermatology, Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy
| | - Monica Corazza
- Section of Dermatology, Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy
| | - Alen Zabotti
- Department of Medical and Biological Sciences, Rheumatology Institute, University Hospital Santa Maria della Misericordia, 33100 Udine, Italy
| | - Sonia Missiroli
- Laboratory for Technologies of Advanced Therapies, Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Caterina Boncompagni
- Laboratory for Technologies of Advanced Therapies, Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Simone Patergnani
- Laboratory for Technologies of Advanced Therapies, Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Mariasole Perrone
- Laboratory for Technologies of Advanced Therapies, Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Carlotta Giorgi
- Laboratory for Technologies of Advanced Therapies, Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Paolo Pinton
- Laboratory for Technologies of Advanced Therapies, Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Marcello Govoni
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Cona, Italy
| | - Carlo Alberto Scirè
- School of Medicine, University of Milano Bicocca, 20126 Milan, Italy
- Epidemiology Unit, Italian Society for Rheumatology, 20121 Milan, Italy
| | - Alessandra Bortoluzzi
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Cona, Italy
| | - Ettore Silvagni
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44124 Cona, Italy
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28
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Lewis MJ, Pitzalis C. Progress continues in prediction of the response to treatment of RA. Nat Rev Rheumatol 2023; 19:68-69. [PMID: 36526946 DOI: 10.1038/s41584-022-00890-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Myles J Lewis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
| | - Costantino Pitzalis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
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29
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Vitale A, Alivernini S, Caporali R, Cassone G, Bruno D, Cantarini L, Lopalco G, Rossini M, Atzeni F, Favalli EG, Conti F, Gremese E, Iannone F, Ferraccioli GF, Lapadula G, Sebastiani M. From Bench to Bedside in Rheumatoid Arthritis from the "2022 GISEA International Symposium". J Clin Med 2023; 12:jcm12020527. [PMID: 36675455 PMCID: PMC9863451 DOI: 10.3390/jcm12020527] [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: 11/14/2022] [Revised: 12/30/2022] [Accepted: 01/03/2023] [Indexed: 01/11/2023] Open
Abstract
While precision medicine is still a challenge in rheumatic disease, in recent years many advances have been made regarding pathogenesis, the treatment of inflammatory arthropathies, and their interaction. New insight into the role of inflammasome and synovial tissue macrophage subsets as predictors of drug response give hope for future tailored therapeutic strategies and a personalized medicine approach in inflammatory arthropathies. Here, we discuss the main pathogenetic mechanisms and therapeutic approaches towards precision medicine in rheumatoid arthritis from the 2022 International GISEA/OEG Symposium.
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Affiliation(s)
- Antonio Vitale
- Department of Medical Sciences, Surgery and Neurosciences, Research Center of Systemic Autoinflammatory Diseases and Behçet’s Disease Clinic, University of Siena, 53100 Siena, SI, Italy
| | - Stefano Alivernini
- Immunology Research Core Facility, Gemelli Science and Technology Park, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, RM, Italy
- Division of Rheumatology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, RM, Italy
| | - Roberto Caporali
- Division of Clinical Rheumatology, ASST Gaetano Pini-CTO Institute, 20122 Milano, MI, Italy
- Department of Clinical Sciences and Community Health, Research Center for Pediatric and Adult Rheumatic Diseases (RECAP.RD), University of Milan, 20122 Milano, MI, Italy
| | - Giulia Cassone
- Rheumatology Unit, Azienda Ospedaliera Policlinico di Modena, University of Modena and Reggio Emilia, 41121 Modena, MO, Italy
| | - Dario Bruno
- Immunology Research Core Facility, Gemelli Science and Technology Park, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, RM, Italy
| | - Luca Cantarini
- Department of Medical Sciences, Surgery and Neurosciences, Research Center of Systemic Autoinflammatory Diseases and Behçet’s Disease Clinic, University of Siena, 53100 Siena, SI, Italy
| | - Giuseppe Lopalco
- Rheumatology Unit, Department of Emergency Surgery and Organ Transplantations, University of Bari, 70121 Bari, BA, Italy
| | - Maurizio Rossini
- Rheumatology Unit, University of Verona, Policlinico G.B. Rossi, Piazzale A. Scuro, 37134 Verona, VR, Italy
| | - Fabiola Atzeni
- Rheumatology Unit, Department of Experimental and Internal Medicine, University of Messina, 98122 Messina, ME, Italy
| | - Ennio Giulio Favalli
- Division of Clinical Rheumatology, ASST Gaetano Pini-CTO Institute, 20122 Milano, MI, Italy
- Department of Clinical Sciences and Community Health, Research Center for Pediatric and Adult Rheumatic Diseases (RECAP.RD), University of Milan, 20122 Milano, MI, Italy
| | - Fabrizio Conti
- Lupus Clinic, Dipartimento di Scienze Cliniche Internistiche, Anestesiologiche e Cardiovascolari, Sapienza University of Rome, 00185 Roma, RM, Italy
| | - Elisa Gremese
- Immunology Research Core Facility, Gemelli Science and Technology Park, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, RM, Italy
- Division of Clinical Immunology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, 20123 Milano, MI, Italy
| | - Florenzo Iannone
- Rheumatology Unit, Department of Emergency Surgery and Organ Transplantations, University of Bari, 70121 Bari, BA, Italy
| | | | - Giovanni Lapadula
- Rheumatology Unit, Department of Emergency Surgery and Organ Transplantations, University of Bari, 70121 Bari, BA, Italy
| | - Marco Sebastiani
- Rheumatology Unit, Azienda Ospedaliera Policlinico di Modena, University of Modena and Reggio Emilia, 41121 Modena, MO, Italy
- Correspondence:
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Lin CMA, Cooles FAH, Isaacs JD. Precision medicine: the precision gap in rheumatic disease. Nat Rev Rheumatol 2022; 18:725-733. [PMID: 36216923 DOI: 10.1038/s41584-022-00845-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2022] [Indexed: 11/09/2022]
Abstract
For many oncological conditions, the application of timely and patient-tailored targeted therapies, or precision medicine, is a major therapeutic development that has provided considerable clinical benefit. However, despite the application of increasingly sophisticated technologies, alongside advanced bioinformatic and machine-learning algorithms, this success is yet to be replicated for the rheumatic diseases. In rheumatoid arthritis, for example, despite an array of targeted biologic and conventional therapeutics, treatment choice remains largely based on trial and error. The concept of the 'precision gap' for rheumatic disease can help us to identify factors that underpin the slow progress towards the discovery and adoption of precision-medicine approaches for rheumatic disease. In a rheumatic disease such as rheumatoid arthritis, it is possible to identify four themes that have slowed progress, solutions to which should help to close the precision gap. These themes relate to our fundamental understanding of disease pathogenesis, how we determine treatment response, confounders of treatment outcomes and trial design.
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Affiliation(s)
- Chung M A Lin
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Faye A H Cooles
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - John D Isaacs
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK. .,Musculoskeletal Unit, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
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Ouma LO, Wason JMS, Zheng H, Wilson N, Grayling M. Design and analysis of umbrella trials: Where do we stand? Front Med (Lausanne) 2022; 9:1037439. [PMID: 36313987 PMCID: PMC9596938 DOI: 10.3389/fmed.2022.1037439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
Background The efficiencies that master protocol designs can bring to modern drug development have seen their increased utilization in oncology. Growing interest has also resulted in their consideration in non-oncology settings. Umbrella trials are one class of master protocol design that evaluates multiple targeted therapies in a single disease setting. Despite the existence of several reviews of master protocols, the statistical considerations of umbrella trials have received more limited attention. Methods We conduct a systematic review of the literature on umbrella trials, examining both the statistical methods that are available for their design and analysis, and also their use in practice. We pay particular attention to considerations for umbrella designs applied outside of oncology. Findings We identified 38 umbrella trials. To date, most umbrella trials have been conducted in early phase settings (73.7%, 28/38) and in oncology (92.1%, 35/38). The quality of statistical information available about conducted umbrella trials to date is poor; for example, it was impossible to ascertain how sample size was determined in the majority of trials (55.3%, 21/38). The literature on statistical methods for umbrella trials is currently sparse. Conclusions Umbrella trials have potentially great utility to expedite drug development, including outside of oncology. However, to enable lessons to be effectively learned from early use of such designs, there is a need for higher-quality reporting of umbrella trials. Furthermore, if the potential of umbrella trials is to be realized, further methodological research is required.
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Affiliation(s)
- Luke O. Ouma
- Biostatistics Research Group, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - James M. S. Wason
- Biostatistics Research Group, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Haiyan Zheng
- Medical Research Council (MRC) Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
| | - Nina Wilson
- Biostatistics Research Group, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Michael Grayling
- Biostatistics Research Group, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
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Kim MJ, Lee SK, Oh S, Kim HA, Park YB, Lee SS, Shin K. Efficacy of Abatacept Versus Tumor Necrosis Factor Inhibitors in Anti-citrullinated Protein Antibody-Positive Patients with Rheumatoid Arthritis: Results from a Korean Nationwide Biologics Registry. Rheumatol Ther 2022; 9:1143-1155. [PMID: 35716235 PMCID: PMC9314478 DOI: 10.1007/s40744-022-00467-4] [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: 04/20/2022] [Accepted: 05/24/2022] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION To compare the efficacy of abatacept and tumor necrosis factor inhibitor (TNFi) in patients with anti-citrullinated protein antibody (ACPA)-positive rheumatoid arthritis (RA) and identify those who benefit most from abatacept over TNFi. METHODS This observational study identified RA patients who were ACPA-positive and initiated abatacept or TNFi from the Korean College of Rheumatology Biologics and Targeted therapy registry. Propensity score (PS) matching was performed to balance baseline confounding in abatacept- or TNFi-treated patients. The major endpoints were changes in Clinical Disease Activity Index (CDAI) and achievement of CDAI remission/low disease activity after 1 year of treatment. Subgroup analysis was mainly performed stratified by prior biologics use. RESULTS A total of 291 PS-matched, ACPA-positive RA patients who initiated abatacept (n = 97) and TNFi (n = 194) were included. From baseline CDAI scores of 26.52 in the abatacept group and 26.38 in the TNFi group, the mean changes after 1 year were - 16.78 and - 13.61, respectively (difference - 3.17, p = 0.020). The proportion of patients achieving CDAI remission/low disease activity was 68.0% with abatacept and 52.6% with TNFi (p = 0.013). In the subgroup analysis, patients that were biologics-naïve had better improvement in CDAI after treatment with abatacept than TNFi (difference - 3.35, p = 0.021). CONCLUSIONS This real-world study suggests that abatacept may have better clinical response compared to TNFi in patients with established ACPA-positive RA, especially in those that were biologics-naïve.
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Affiliation(s)
- Min Jung Kim
- Division of Rheumatology, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, 20 Boramae-ro-5-gil, Dongjak-gu, Seoul, 07061, South Korea
| | - Sun-Kyung Lee
- Division of Rheumatology, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, 20 Boramae-ro-5-gil, Dongjak-gu, Seoul, 07061, South Korea
| | - Sohee Oh
- Department of Biostatistics, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, Seoul, South Korea
| | - Hyoun-Ah Kim
- Division of Rheumatology, Ajou University School of Medicine, Suwon, South Korea
| | - Yong-Beom Park
- Division of Rheumatology, Yonsei University College of Medicine, Seoul, South Korea
| | - Shin-Seok Lee
- Division of Rheumatology, Chonnam National University Hospital, Jeonju, South Korea
| | - Kichul Shin
- Division of Rheumatology, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, 20 Boramae-ro-5-gil, Dongjak-gu, Seoul, 07061, South Korea.
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Personalized Medicine and Machine Learning: A Roadmap for the Future. J Clin Med 2022; 11:jcm11144110. [PMID: 35887873 PMCID: PMC9317385 DOI: 10.3390/jcm11144110] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/14/2022] [Indexed: 12/10/2022] Open
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Guthridge JM, Wagner CA, James JA. The promise of precision medicine in rheumatology. Nat Med 2022; 28:1363-1371. [PMID: 35788174 PMCID: PMC9513842 DOI: 10.1038/s41591-022-01880-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 05/23/2022] [Indexed: 01/07/2023]
Abstract
Systemic autoimmune rheumatic diseases (SARDs) exhibit extensive heterogeneity in clinical presentation, disease course, and treatment response. Therefore, precision medicine - whereby treatment is tailored according to the underlying pathogenic mechanisms of an individual patient at a specific time - represents the 'holy grail' in SARD clinical care. Current strategies include treat-to-target therapies and autoantibody testing for patient stratification; however, these are far from optimal. Recent innovations in high-throughput 'omic' technologies are now enabling comprehensive profiling at multiple levels, helping to identify subgroups of patients who may taper off potentially toxic medications or better respond to current molecular targeted therapies. Such advances may help to optimize outcomes and identify new pathways for treatment, but there are many challenges along the path towards clinical translation. In this Review, we discuss recent efforts to dissect cellular and molecular heterogeneity across multiple SARDs and future directions for implementing stratification approaches for SARD treatment in the clinic.
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Affiliation(s)
- Joel M Guthridge
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
- Departments of Medicine and Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Catriona A Wagner
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Judith A James
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
- Departments of Medicine and Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
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Osouli-Bostanabad K, Masalehdan T, Kapsa RMI, Quigley A, Lalatsa A, Bruggeman KF, Franks SJ, Williams RJ, Nisbet DR. Traction of 3D and 4D Printing in the Healthcare Industry: From Drug Delivery and Analysis to Regenerative Medicine. ACS Biomater Sci Eng 2022; 8:2764-2797. [PMID: 35696306 DOI: 10.1021/acsbiomaterials.2c00094] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Three-dimensional (3D) printing and 3D bioprinting are promising technologies for a broad range of healthcare applications from frontier regenerative medicine and tissue engineering therapies to pharmaceutical advancements yet must overcome the challenges of biocompatibility and resolution. Through comparison of traditional biofabrication methods with 3D (bio)printing, this review highlights the promise of 3D printing for the production of on-demand, personalized, and complex products that enhance the accessibility, effectiveness, and safety of drug therapies and delivery systems. In addition, this review describes the capacity of 3D bioprinting to fabricate patient-specific tissues and living cell systems (e.g., vascular networks, organs, muscles, and skeletal systems) as well as its applications in the delivery of cells and genes, microfluidics, and organ-on-chip constructs. This review summarizes how tailoring selected parameters (i.e., accurately selecting the appropriate printing method, materials, and printing parameters based on the desired application and behavior) can better facilitate the development of optimized 3D-printed products and how dynamic 4D-printed strategies (printing materials designed to change with time or stimulus) may be deployed to overcome many of the inherent limitations of conventional 3D-printed technologies. Comprehensive insights into a critical perspective of the future of 4D bioprinting, crucial requirements for 4D printing including the programmability of a material, multimaterial printing methods, and precise designs for meticulous transformations or even clinical applications are also given.
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Affiliation(s)
- Karim Osouli-Bostanabad
- Biomaterials, Bio-engineering and Nanomedicine (BioN) Lab, Institute of Biomedical and Biomolecular, Sciences, School of Pharmacy and Biomedical Sciences, University of Portsmouth, White Swan Road, Portsmouth PO1 2DT, United Kingdom
| | - Tahereh Masalehdan
- Department of Materials Engineering, Institute of Mechanical Engineering, University of Tabriz, Tabriz 51666-16444, Iran
| | - Robert M I Kapsa
- Biomedical and Electrical Engineering, School of Engineering, RMIT University, Melbourne, Victoria 3000, Australia.,Department of Medicine, St Vincent's Hospital Melbourne, University of Melbourne, Fitzroy, Victoria 3065, Australia
| | - Anita Quigley
- Biomedical and Electrical Engineering, School of Engineering, RMIT University, Melbourne, Victoria 3000, Australia.,Department of Medicine, St Vincent's Hospital Melbourne, University of Melbourne, Fitzroy, Victoria 3065, Australia
| | - Aikaterini Lalatsa
- Biomaterials, Bio-engineering and Nanomedicine (BioN) Lab, Institute of Biomedical and Biomolecular, Sciences, School of Pharmacy and Biomedical Sciences, University of Portsmouth, White Swan Road, Portsmouth PO1 2DT, United Kingdom
| | - Kiara F Bruggeman
- Laboratory of Advanced Biomaterials, Research School of Chemistry and the John Curtin School of Medical Research, The Australian National University, Canberra, Australian Capital Territory 2601, Australia.,Research School of Electrical, Energy and Materials Engineering, The Australian National University, Canberra, Australian Capital Territory 2601, Australia
| | - Stephanie J Franks
- Laboratory of Advanced Biomaterials, Research School of Chemistry and the John Curtin School of Medical Research, The Australian National University, Canberra, Australian Capital Territory 2601, Australia
| | - Richard J Williams
- Institute of Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Waurn Ponds, Victoria 3216, Australia
| | - David R Nisbet
- Laboratory of Advanced Biomaterials, Research School of Chemistry and the John Curtin School of Medical Research, The Australian National University, Canberra, Australian Capital Territory 2601, Australia.,The Graeme Clark Institute, The University of Melbourne, Melbourne, Victoria 3010, Australia.,Department of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Victoria 3010, Australia
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Rivellese F, Surace AEA, Goldmann K, Sciacca E, Çubuk C, Giorli G, John CR, Nerviani A, Fossati-Jimack L, Thorborn G, Ahmed M, Prediletto E, Church SE, Hudson BM, Warren SE, McKeigue PM, Humby F, Bombardieri M, Barnes MR, Lewis MJ, Pitzalis C. Rituximab versus tocilizumab in rheumatoid arthritis: synovial biopsy-based biomarker analysis of the phase 4 R4RA randomized trial. Nat Med 2022; 28:1256-1268. [PMID: 35589854 PMCID: PMC9205785 DOI: 10.1038/s41591-022-01789-0] [Citation(s) in RCA: 110] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 03/21/2022] [Indexed: 12/29/2022]
Abstract
Patients with rheumatoid arthritis (RA) receive highly targeted biologic therapies without previous knowledge of target expression levels in the diseased tissue. Approximately 40% of patients do not respond to individual biologic therapies and 5-20% are refractory to all. In a biopsy-based, precision-medicine, randomized clinical trial in RA (R4RA; n = 164), patients with low/absent synovial B cell molecular signature had a lower response to rituximab (anti-CD20 monoclonal antibody) compared with that to tocilizumab (anti-IL6R monoclonal antibody) although the exact mechanisms of response/nonresponse remain to be established. Here, in-depth histological/molecular analyses of R4RA synovial biopsies identify humoral immune response gene signatures associated with response to rituximab and tocilizumab, and a stromal/fibroblast signature in patients refractory to all medications. Post-treatment changes in synovial gene expression and cell infiltration highlighted divergent effects of rituximab and tocilizumab relating to differing response/nonresponse mechanisms. Using ten-by-tenfold nested cross-validation, we developed machine learning algorithms predictive of response to rituximab (area under the curve (AUC) = 0.74), tocilizumab (AUC = 0.68) and, notably, multidrug resistance (AUC = 0.69). This study supports the notion that disease endotypes, driven by diverse molecular pathology pathways in the diseased tissue, determine diverse clinical and treatment-response phenotypes. It also highlights the importance of integration of molecular pathology signatures into clinical algorithms to optimize the future use of existing medications and inform the development of new drugs for refractory patients.
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Affiliation(s)
- Felice Rivellese
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Anna E A Surace
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Katriona Goldmann
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Elisabetta Sciacca
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Cankut Çubuk
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Giovanni Giorli
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Christopher R John
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Alessandra Nerviani
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Liliane Fossati-Jimack
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Georgina Thorborn
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Manzoor Ahmed
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Edoardo Prediletto
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | | | | | | | - Paul M McKeigue
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Frances Humby
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Michele Bombardieri
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Michael R Barnes
- Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Myles J Lewis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
- Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
| | - Costantino Pitzalis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
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Affiliation(s)
- Laura T Donlin
- HSS Research Institute, New York, NY, USA. .,Weill Cornell Medicine, New York, NY, USA.
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38
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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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Felten R, Rosine N. Responding to and Driving Change in Rheumatology: Report from the 12th International Immunology Summit 2021. Rheumatol Ther 2022; 9:705-719. [PMID: 35279812 PMCID: PMC8917828 DOI: 10.1007/s40744-022-00437-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 02/25/2022] [Indexed: 11/28/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has accelerated changes to rheumatology daily clinical practice. The main goal of the 12th International Immunology Summit, held 25-26 June, 2021 (virtual meeting), was to provide direction for these active changes rather than undergoing change reactively in order to improve patient outcomes. This review describes and explores the concept of change in rheumatology clinical practice based on presentations from the Immunology Summit. Many of the changes to rheumatology practice brought about by the COVID-19 pandemic may be considered as having a positive impact on disease management and may help with the long-term development of more patient-focused treatment. Rheumatologists can contribute key knowledge regarding the use of immunosuppressive agents in the context of the pandemic, and according to the European League Against Rheumatism, they should be involved in any multidisciplinary COVID-19 guideline committees. New technologies, including telemedicine and artificial intelligence, represent an opportunity for physicians to individualise patient treatment and improve disease management. Despite major advances in the treatment of rheumatic diseases, the efficacy of available disease-modifying anti-rheumatic drugs (DMARDs) remains suboptimal and data regarding serological biomarkers are limited. Synovial tissue biomarkers, such as CD68+ macrophages, have shown promise in elucidating pathogenesis and targeting treatment to the individual patient. In spondyloarthritis (SpA) or psoriatic arthritis (PsA), information regarding the effectiveness of the available agents with different mechanisms of action may be integrated to manage patients using a treat-to-target approach. Early diagnosis of SpA and PsA is important for optimisation of treatment response and long-term outcomes. Improving our understanding of disease pathogenesis and practice methods may help reduce diagnostic delays, thereby optimising disease outcomes in patients with rheumatic diseases.
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Affiliation(s)
- Renaud Felten
- Service de Rhumatologie and CNR RESO, Hôpitaux Universitaires de Strasbourg, 1, Avenue Molière, BP 83049, 67098, Strasbourg, France.
| | - Nicolas Rosine
- Service de Rhumatologie, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris, France
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Gao J, Xia Z, Mary HB, Joseph J, Luo JN, Joshi N. Overcoming barriers for intra-articular delivery of disease-modifying osteoarthritis drugs. Trends Pharmacol Sci 2022; 43:171-187. [PMID: 35086691 PMCID: PMC8840969 DOI: 10.1016/j.tips.2021.12.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/27/2021] [Accepted: 12/20/2021] [Indexed: 02/07/2023]
Abstract
Despite four decades of research in intra-articular drug delivery systems (DDS) and two decades of advances in disease-modifying osteoarthritis drugs (DMOADs), there is still no clinically available disease-modifying therapy for osteoarthritis (OA). Multiple barriers compromise intra-articular DMOAD delivery. Although multiple exciting approaches have been developed to overcome these barriers, there are still outstanding questions. We make several recommendations that can help in fully overcoming these barriers. Considering OA heterogeneity, we also propose a patient-centered, bottom-up workflow to guide preclinical development of DDS-based intra-articular DMOAD therapies. Overall, we expect this review to inspire paradigm-shifting innovations for developing next-generation DDS that can enable clinical translation of intra-articular DMOADs.
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Affiliation(s)
- Jingjing Gao
- Center for Nanomedicine, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Ziting Xia
- Center for Nanomedicine, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Helna B Mary
- Center for Nanomedicine, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - John Joseph
- Center for Nanomedicine, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - James N Luo
- Harvard Medical School, Boston, MA 02115, USA; Department of Surgery, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Nitin Joshi
- Center for Nanomedicine, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.
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Kuret T, Sodin-Šemrl S, Leskošek B, Ferk P. Single Cell RNA Sequencing in Autoimmune Inflammatory Rheumatic Diseases: Current Applications, Challenges and a Step Toward Precision Medicine. Front Med (Lausanne) 2022; 8:822804. [PMID: 35118101 PMCID: PMC8804286 DOI: 10.3389/fmed.2021.822804] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 12/27/2021] [Indexed: 12/11/2022] Open
Abstract
Single cell RNA sequencing (scRNA-seq) represents a new large scale and high throughput technique allowing analysis of the whole transcriptome at the resolution of an individual cell. It has emerged as an imperative method in life science research, uncovering complex cellular networks and providing indices that will eventually lead to the development of more targeted and personalized therapies. The importance of scRNA-seq has been particularly highlighted through the analysis of complex biological systems, in which cellular heterogeneity is a key aspect, such as the immune system. Autoimmune inflammatory rheumatic diseases represent a group of disorders, associated with a dysregulated immune system and high patient heterogeneity in both pathophysiological and clinical aspects. This complicates the complete understanding of underlying pathological mechanisms, associated with limited therapeutic options available and their long-term inefficiency and even toxicity. There is an unmet need to investigate, in depth, the cellular and molecular mechanisms driving the pathogenesis of rheumatic diseases and drug resistance, identify novel therapeutic targets, as well as make a step forward in using stratified and informed therapeutic decisions, which could now be achieved with the use of single cell approaches. This review summarizes the current use of scRNA-seq in studying different rheumatic diseases, based on recent findings from published in vitro, in vivo, and clinical studies, as well as discusses the potential implementation of scRNA-seq in the development of precision medicine in rheumatology.
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Affiliation(s)
- Tadeja Kuret
- Faculty of Medicine, Institute of Cell Biology, University of Ljubljana, Ljubljana, Slovenia
| | - Snežna Sodin-Šemrl
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia
| | - Brane Leskošek
- Faculty of Medicine, Institute for Biostatistics and Medical Informatics/ELIXIR-SI Center, University of Ljubljana, Ljubljana, Slovenia
| | - Polonca Ferk
- Faculty of Medicine, Institute for Biostatistics and Medical Informatics/ELIXIR-SI Center, University of Ljubljana, Ljubljana, Slovenia
- *Correspondence: Polonca Ferk
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Bird A, Oakden-Rayner L, McMaster C, Smith LA, Zeng M, Wechalekar MD, Ray S, Proudman S, Palmer LJ. Artificial intelligence and the future of radiographic scoring in rheumatoid arthritis: a viewpoint. Arthritis Res Ther 2022; 24:268. [PMID: 36510330 PMCID: PMC9743640 DOI: 10.1186/s13075-022-02972-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 12/03/2022] [Indexed: 12/14/2022] Open
Abstract
Rheumatoid arthritis is an autoimmune condition that predominantly affects the synovial joints, causing joint destruction, pain, and disability. Historically, the standard for measuring the long-term efficacy of disease-modifying antirheumatic drugs has been the assessment of plain radiographs with scoring techniques that quantify joint damage. However, with significant improvements in therapy, current radiographic scoring systems may no longer be fit for purpose for the milder spectrum of disease seen today. We argue that artificial intelligence is an apt solution to further improve upon radiographic scoring, as it can readily learn to recognize subtle patterns in imaging data to not only improve efficiency, but can also increase the sensitivity to variation in mild disease. Current work in the area demonstrates the feasibility of automating scoring but is yet to take full advantage of the strengths of artificial intelligence. By fully leveraging the power of artificial intelligence, faster and more sensitive scoring could enable the ongoing development of effective treatments for patients with rheumatoid arthritis.
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Affiliation(s)
- Alix Bird
- grid.1010.00000 0004 1936 7304Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA 5000 Australia ,grid.1010.00000 0004 1936 7304School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA 5000 Australia
| | - Lauren Oakden-Rayner
- grid.1010.00000 0004 1936 7304Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA 5000 Australia ,grid.1010.00000 0004 1936 7304School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA 5000 Australia
| | - Christopher McMaster
- grid.410678.c0000 0000 9374 3516Department of Rheumatology, Austin Health, Heidelberg, VIC 3084 Australia
| | - Luke A. Smith
- grid.1010.00000 0004 1936 7304Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA 5000 Australia ,grid.1010.00000 0004 1936 7304School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA 5000 Australia
| | - Minyan Zeng
- grid.1010.00000 0004 1936 7304Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA 5000 Australia ,grid.1010.00000 0004 1936 7304School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA 5000 Australia
| | - Mihir D. Wechalekar
- grid.1014.40000 0004 0367 2697Department of Rheumatology, Flinders Medical Centre, and College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042 Australia
| | - Shonket Ray
- grid.418019.50000 0004 0393 4335Artificial Intelligence and Machine Learning, GlaxoSmithKline, South San Francisco, CA USA
| | - Susanna Proudman
- grid.416075.10000 0004 0367 1221Department of Rheumatology, Royal Adelaide Hospital, Adelaide, SA 5000 Australia
| | - Lyle J. Palmer
- grid.1010.00000 0004 1936 7304Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA 5000 Australia ,grid.1010.00000 0004 1936 7304School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA 5000 Australia
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Ruscitti P, Berardicurti O, Giacomelli R, Cipriani P. The clinical heterogeneity of adult onset Still's disease may underlie different pathogenic mechanisms. Implications for a personalised therapeutic management of these patients. Semin Immunol 2021; 58:101632. [PMID: 35787972 DOI: 10.1016/j.smim.2022.101632] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Adult-onset Still's disease (AOSD) is a rare inflammatory disease of unknown aetiology usually affecting young adults and manifesting with a clinical triad of spiking fever, arthritis, and evanescent cutaneous rash. AOSD may be considered a highly heterogeneous disease, despite a similar clinical presentation, the disease course may be completely different. Some patients may have a single episode of the disease whereas others may evolve toward a chronic course and experience life-threatening complications. On these bases, to dissect the clinical heterogeneity of this disease, four different subsets were identified combining the manifestations at the beginning with possible diverse outcomes over time. Each one of these derived subsets would be characterised by a prominent different clinical feature from others, thus proposing dissimilar underlying pathogenic mechanisms, at least partially. Consequently, a distinct management of AOSD may be suggested to appropriately tailor the therapeutic strategy to these patients, according to principles of the precision medicine. These findings would also provide the rationale to recognise a different genetic and molecular profile of patients with AOSD. Taking together these findings, the basis for a precision medicine approach may be suggested in AOSD, which would drive a tailored therapeutic approach in these patients. A better patient stratification may also help in arranging specific designed studies to improve the management of patients with AOSD. Behind these different clinical phenotypes, distinct endotypes of AOSD may be suggested, probably differing in pathogenesis, outcomes, and response to therapies.
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Affiliation(s)
- Piero Ruscitti
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Onorina Berardicurti
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Roberto Giacomelli
- Unit of Rheumatology and Clinical Immunology, University of Rome "Campus Biomedico", Rome, Italy
| | - Paola Cipriani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
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Abstract
Rheumatoid Arthritis (RA) is a chronic systemic autoimmune disease. RA mainly affects synovial joints, with inflammation of the synovial membrane (synovitis), characterised by neo-angiogenesis, hyperplasia of lining layer, and immune cell infiltration that drive local inflammation and, if untreated, can lead to joint destruction and disability. In parallel to the well-known clinical heterogeneity, the underlying synovitis can also be significantly heterogeneous, both at cellular and molecular level, which can at least in part explain why despite the availability of highly effective treatment options, a large proportion of patients are resistant to some individual treatments. The assimilation of recent high-throughput data from analysis at the single-cell level with rigorous and high-quality clinical outcomes obtained from large randomised clinical trials support the definition of disease and treatment response endotypes. Looking ahead, the integration of histological and molecular signatures from the diseased tissue into clinical algorithms may help decision making in the management of patients with Rheumatoid Arthritis in clinical practice.
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Ciccia F, Macaluso F, Mauro D, Nicoletti GF, Croci S, Salvarani C. New insights into the pathogenesis of giant cell arteritis: are they relevant for precision medicine? THE LANCET. RHEUMATOLOGY 2021; 3:e874-e885. [PMID: 38287633 DOI: 10.1016/s2665-9913(21)00253-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/15/2021] [Accepted: 07/28/2021] [Indexed: 02/06/2023]
Abstract
Giant cell arteritis is a primary granulomatous vasculitis characterised by a strict tissue tropism for large and medium-size vessels, occurring in people older than 50 years. Although considerable progress in understanding some of the pathophysiological mechanisms involved in the pathogenesis of giant cell arteritis has been made in the past 10 years, specific triggers of disease and mechanisms of chronic damage have not yet been identified. The definition of a specific pro-inflammatory hierarchy between the multiple cell types and the different cytokines or chemokines involved in the inflammatory process are still unexplored areas of study. The overall goal of precision medicine is to identify the best possible therapeutic approach for an individual or group of individuals with a given disease. The fundamental prerequisite of this approach is the identification, at baseline, of clinical and imaging findings and of molecular biomarkers that allow a precise stratification of patients and an adequate prediction of the therapeutic response. In this regard, the possibility of obtaining temporal artery biopsies for diagnostic purposes offers incredible exploratory possibilities to define different disease pathotypes potentially susceptible to different therapeutic interventions. In this Series paper, we will describe the most recent evidence relating to the pathogenesis of giant cell arteritis, trying to define, if possible, a new pathogenetic-centred approach to patients with giant cell arteritis.
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Affiliation(s)
- Francesco Ciccia
- Department of Precision Medicine, Section of Rheumatology, Università della Campania L Vanvitelli, Naples, Italy.
| | - Federica Macaluso
- Department of Precision Medicine, Section of Rheumatology, Università della Campania L Vanvitelli, Naples, Italy; Dipartimento Specialità Mediche, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Daniele Mauro
- Department of Precision Medicine, Section of Rheumatology, Università della Campania L Vanvitelli, Naples, Italy
| | - Giovanni Francesco Nicoletti
- Dipartimento Multidisciplinare di Specialità Medico-Chirurgiche e Odontoiatriche, Università della Campania L Vanvitelli, Naples, Italy
| | - Stefania Croci
- Autoimmunità, Allergologia e Biotecnologie Innovative, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Carlo Salvarani
- Dipartimento Specialità Mediche, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy; Dipartimento Chirurgico, Medico, Odontoiatrico e di Scienze Morfologiche con interesse Trapiantologico, Oncologico e di Medicina Rigenerativa, Università di Modena e Reggio Emilia, Modena, Italy.
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Heutz J, de Jong PHP. Possibilities for personalised medicine in rheumatoid arthritis: hype or hope. RMD Open 2021; 7:rmdopen-2021-001653. [PMID: 34649986 PMCID: PMC8522666 DOI: 10.1136/rmdopen-2021-001653] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 09/29/2021] [Indexed: 12/26/2022] Open
Abstract
Knowledge of pathophysiology of rheumatoid arthritis (RA) has improved over the past decades, which resulted in new treatment options and strategies that led to better clinical outcomes. At the same time, we have come to understand that RA is a heterogeneous disease on a clinical as well as a pathophysiological level. Despite this heterogeneity, current management recommendations still adopt a ‘one-size-fits-all’ treatment approach, where ideally individualised treatment, or personalised medicine, is preferred. The first step towards personalised medicine in RA would be to designate different treatment strategies to distinct clinical or molecular phenotypes of patients. This viewpoint discusses current evidence and elaborates on future possibilities for personalised medicine in RA.
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Affiliation(s)
- Judith Heutz
- Rheumatology, Erasmus MC, Rotterdam, The Netherlands
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Tsuchiya H, Fujio K. Title Current Status of the Search for Biomarkers for Optimal Therapeutic Drug Selection for Patients with Rheumatoid Arthritis. Int J Mol Sci 2021; 22:ijms22179534. [PMID: 34502442 PMCID: PMC8431405 DOI: 10.3390/ijms22179534] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 08/28/2021] [Accepted: 08/28/2021] [Indexed: 12/19/2022] Open
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease characterized by destructive synovitis. It is significantly associated with disability, impaired quality of life, and premature mortality. Recently, the development of biological agents (including tumor necrosis factor-α and interleukin-6 receptor inhibitors) and Janus kinase inhibitors have advanced the treatment of RA; however, it is still difficult to predict which drug will be effective for each patient. To break away from the current therapeutic approaches that could be described as a “lottery,” there is an urgent need to establish biomarkers that stratify patients in terms of expected therapeutic responsiveness. This review deals with recent progress from multi-faceted analyses of the synovial tissue in RA, which is now bringing new insights into diverse features at both the cellular and molecular levels and their potential links with particular clinical phenotypes.
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Silvagni E, Missiroli S, Perrone M, Patergnani S, Boncompagni C, Bortoluzzi A, Govoni M, Giorgi C, Alivernini S, Pinton P, Scirè CA. From Bed to Bench and Back: TNF-α, IL-23/IL-17A, and JAK-Dependent Inflammation in the Pathogenesis of Psoriatic Synovitis. Front Pharmacol 2021; 12:672515. [PMID: 34211394 PMCID: PMC8241099 DOI: 10.3389/fphar.2021.672515] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 05/18/2021] [Indexed: 12/18/2022] Open
Abstract
Psoriatic arthritis (PsA) is a chronic inflammatory immune-mediated disease with a burdensome impact on quality of life and substantial healthcare costs. To date, pharmacological interventions with different mechanisms of action, including conventional synthetic (cs), biological (b), and targeted synthetic (ts) disease-modifying antirheumatic drugs (DMARDs), have been proven efficacious, despite a relevant proportion of failures. The current approach in clinical practice and research is typically "predictive": the expected response is based on stratification according to clinical, imaging, and laboratory data, with a "heuristic" approach based on "trial and error". Several available therapeutic options target the TNF-α pathway, while others are directed against the IL-23/IL-17A axis. Janus kinase inhibitors (JAKis), instead, simultaneously block different pathways, endowing these drugs with a potentially "broad-spectrum" mechanism of action. It is not clear, however, whether targeting a specific pathway (e.g., TNF-α or the IL-23/IL-17 axis) could result in discordant effects over other approaches. In particular, in the case of "refractory to a treatment" patients, other pathways might be hyperactivated, with opposing, synergistic, or redundant biological significance. On the contrary, refractory states could be purely resistant to treatment as a whole. Since chronic synovitis is one of the primary targets of inflammation in PsA, synovial biomarkers could be useful in depicting specific biological characteristics of the inflammatory burden at the single-patient level, and despite not yet being implemented in clinical practice, these biomarkers might help in selecting the proper treatment. In this narrative review, we will provide an up-to-date overview of the knowledge in the field of psoriatic synovitis regarding studies investigating the relationships among different activated proinflammatory processes suitable for targeting by different available drugs. The final objective is to clarify the state of the art in the field of personalized medicine for psoriatic disease, aiming at moving beyond the current treatment schedules toward a patient-centered approach.
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Affiliation(s)
- Ettore Silvagni
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Cona, Italy
| | - Sonia Missiroli
- Department of Medical Sciences, Section of Experimental Medicine, Laboratory for Technologies of Advanced Therapies, University of Ferrara, Ferrara, Italy
| | - Mariasole Perrone
- Department of Medical Sciences, Section of Experimental Medicine, Laboratory for Technologies of Advanced Therapies, University of Ferrara, Ferrara, Italy
| | - Simone Patergnani
- Department of Medical Sciences, Section of Experimental Medicine, Laboratory for Technologies of Advanced Therapies, University of Ferrara, Ferrara, Italy
| | - Caterina Boncompagni
- Department of Medical Sciences, Section of Experimental Medicine, Laboratory for Technologies of Advanced Therapies, University of Ferrara, Ferrara, Italy
| | - Alessandra Bortoluzzi
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Cona, Italy
| | - Marcello Govoni
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Cona, Italy
| | - Carlotta Giorgi
- Department of Medical Sciences, Section of Experimental Medicine, Laboratory for Technologies of Advanced Therapies, University of Ferrara, Ferrara, Italy
| | - Stefano Alivernini
- Rheumatology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Paolo Pinton
- Department of Medical Sciences, Section of Experimental Medicine, Laboratory for Technologies of Advanced Therapies, University of Ferrara, Ferrara, Italy
| | - Carlo Alberto Scirè
- Rheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Cona, Italy
- Epidemiology Research Unit, Italian Society for Rheumatology, Milan, Italy
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50
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Yavuz S, Lipsky PE. Current Status of the Evaluation and Management of Lupus Patients and Future Prospects. Front Med (Lausanne) 2021; 8:682544. [PMID: 34124113 PMCID: PMC8193052 DOI: 10.3389/fmed.2021.682544] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 04/27/2021] [Indexed: 12/24/2022] Open
Abstract
The vastly diverse nature of systemic lupus erythematosus (SLE) poses great challenges to clinicians and patients, as well as to research and drug development efforts. Precise management of lupus patients would be advanced by the ability to identify specific abnormalities operative in individual patients at the time of encounter with the clinician. Advances in new technologies and bioinformatics have greatly improved the understanding of the pathophysiology of SLE. Recent research has focused on the discovery and classification of sensitive and specific markers that could aid early accurate diagnosis, better monitoring of disease and identification of appropriate therapy choices based on specific dysregulated molecular pathways. Here, we summarize some of the advances and discuss the challenges in moving toward precise patient-centric management modalities in SLE.
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Affiliation(s)
- Sule Yavuz
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Peter E Lipsky
- Ampel BioSolutions and Re-Imagine Lupus Investigation, Treatment and Education Research Institute, Charlottesville, VA, United States
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