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Mathsson Alm L, Westerlind H, Gehring I, Hansson M, Ghasemzadeh N, Rojas-Restrepo J, Saevarsdottir S, Sexton J, Lillegraven S, Haavardsholm E, Glintborg B, Hammer HB, Kvien TK, Hetland ML, Padyukov L, Askling J, Grönwall C. Recognition of Glycine Versus Nonglycine Citrulline Motifs Dictating the HLA Class II Association of Anticitrullinated Protein Antibodies: Insights From Autoantibody Profiling of 6,900 Scandinavian Patients With Rheumatoid Arthritis. Arthritis Rheumatol 2025. [PMID: 40116570 DOI: 10.1002/art.43161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 02/13/2025] [Accepted: 03/10/2025] [Indexed: 03/23/2025]
Abstract
OBJECTIVE Rheumatoid arthritis (RA)-associated anticitrullinated protein antibodies (ACPAs) target various antigens by binding short citrulline amino acid motifs, resulting in heterogeneous ACPA profiles among patients. Here we analyzed ACPA patterns by recognized citrulline motifs in relation to the RA risk factors HLA-DRB1 shared epitope (SE) alleles and history of smoking. METHODS Rheumatoid factor (RF) and anticyclic citrullinated peptide (CCP2) isotypes, 15 anti-Cit- and four anti-Carb/Acet-peptide-IgG, were centrally measured in 6,907 patients from five Scandinavian RA cohorts using fluoroenzyme immunoassay and a custom-made multiplex solid-phase microarray. HLA-DRB1 SE alleles were imputed from single-nucleotide polymorphism genotyping data. RESULTS Single-citrulline peptides derived from four multicitrulline peptides (Cit Fibα36-50, Cit Fibβ60-74, Cit TNC5, and Cit Vim60-75) showed differential binding patterns, supporting recognition of citrulline motifs rather than long peptides. Four citrulline peptides (Cit Fibβ36-52, Cit Fibβ60-74-Cit3, Cit Fil307-324, and Cit Vim60-75-Cit1) captured 97% of IgG anti-CCP2+ patients. Patient subsets based on ACPA, anti-Carb/Acet, and RF displayed differences in ACPA composition and disease activity but not comorbidities. Different ACPAs overlapped, but when dichotomizing patients based on high reactivity to peptide citrulline motifs, only ACPA to nonglycine citrulline motif associated with HLA SE alleles. In IgG anti-CCP2+ patients, 90% of those with only high nonglycine ACPA were HLA SE allele carriers compared with 67% in the group with glycine motif-only ACPA (odds ratio 4.5). Smoking status associated with IgA and glycine motif ACPA. CONCLUSION Although citrulline-glycine motifs are prevalent ACPA targets, our data reveal that HLA SE alleles are primarily associated with ACPA to nonglycine citrulline motifs, providing insight in ACPA T cell dependance. Yet, the etiologic significance of ACPA targeting different protein structures remains unknown.
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Affiliation(s)
- Linda Mathsson Alm
- Uppsala University and Thermo Fisher Scientific, Uppsala, Sweden
- Thermo Fisher Scientific, Uppsala, Sweden
| | | | | | - Monika Hansson
- Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | | | | | - Saedis Saevarsdottir
- Karolinska Institutet, Stockholm, Sweden, and deCODE genetics/Amgen, University of Iceland, and Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | | | | | | | - Bente Glintborg
- University of Copenhagen, Copenhagen, Denmark, and DANBIO, The Danish Rheumatologic Biobank, and Copenhagen Center for Arthritis Research (COPECARE), Rigshospitalet, Glostrup, Denmark
| | | | - Tore K Kvien
- Diakonhjemmet Hospital and University of Oslo, Oslo, Norway
| | - Merete Lund Hetland
- University of Copenhagen, Copenhagen, Denmark, and DANBIO, The Danish Rheumatologic Biobank, and Copenhagen Center for Arthritis Research (COPECARE), Rigshospitalet, Glostrup, Denmark
| | - Leonid Padyukov
- Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | | | - Caroline Grönwall
- Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
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Colwill M, Baillie S, Pollok R, Poullis A. Biobanks and biomarkers: Their current and future role in biomedical research. World J Methodol 2024; 14:91387. [PMID: 39712565 PMCID: PMC11287535 DOI: 10.5662/wjm.v14.i4.91387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 05/27/2024] [Accepted: 06/11/2024] [Indexed: 07/26/2024] Open
Abstract
The importance and utility of biobanks has increased exponentially since their inception and creation. Initially used as part of translational research, they now contribute over 40% of data for all cancer research papers in the United States of America and play a crucial role in all aspects of healthcare. Multiple classification systems exist but a simplified approach is to either classify as population-based or disease-oriented entities. Whilst historically publicly funded institutions, there has been a significant increase in industry funded entities across the world which has changed the dynamic of biobanks offering new possibilities but also new challenges. Biobanks face legal questions over data sharing and intellectual property as well as ethical and sustainability questions particularly as the world attempts to move to a low-carbon economy. International collaboration is required to address some of these challenges but this in itself is fraught with complexity and difficulty. This review will examine the current utility of biobanks in the modern healthcare setting as well as the current and future challenges these vital institutions face.
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Affiliation(s)
- Michael Colwill
- Department of Gastroenterology, St George's University Hospital NHS Foundation Trust, London SW17 0QT, United Kingdom
| | - Samantha Baillie
- Department of Gastroenterology, St George's University Hospital NHS Foundation Trust, London SW17 0QT, United Kingdom
| | - Richard Pollok
- Department of Gastroenterology, St George's University Hospital NHS Foundation Trust, London SW17 0QT, United Kingdom
| | - Andrew Poullis
- Department of Gastroenterology, St George's University Hospital NHS Foundation Trust, London SW17 0QT, United Kingdom
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3
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Guerini-Rocco E, Venetis K, Cursano G, Mane E, Frascarelli C, Pepe F, Negrelli M, Olmeda E, Vacirca D, Ranghiero A, Trapani D, Criscitiello C, Curigliano G, Rolfo C, Malapelle U, Fusco N. Standardized molecular pathology workflow for ctDNA-based ESR1 testing in HR+/HER2- metastatic breast cancer. Crit Rev Oncol Hematol 2024; 201:104427. [PMID: 38917944 DOI: 10.1016/j.critrevonc.2024.104427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/19/2024] [Accepted: 06/21/2024] [Indexed: 06/27/2024] Open
Abstract
Mutations in the estrogen receptor alpha gene (ESR1) can lead to resistance to endocrine therapy (ET) in hormone receptor-positive (HR+)/ HER2- metastatic breast cancer (MBC). ESR1 mutations can be detected in up to 40 % of patients pretreated with ET in circulating tumor DNA (ctDNA). Data from prospective randomized trials highlight those patients with HR+/HER2- MBC with detectable ESR1 mutations experience better outcomes when receiving novel selective estrogen receptor degraders (SERDs). There is a high need for optimizing ESR1 testing strategies on liquid biopsy samples in HR+/HER2- MBC, including a hugh quality workflow implementation and molecular pathology reporting standardization. Our manuscript aims to elucidate the clinical and biological rationale for ESR1 testing in MBC, while critically examining the currently available guidelines and recommendations for this specific type of molecular testing on ctDNA. The objective will extend to the critical aspects of harmonization and standardization, specifically focusing on the pathology laboratory workflow. Finally, we propose a clear and comprehensive model for reporting ESR1 testing results on ctDNA in HR+/HER2- MBC.
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Affiliation(s)
- Elena Guerini-Rocco
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | | | - Giulia Cursano
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy
| | - Eltjona Mane
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy
| | - Chiara Frascarelli
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Francesco Pepe
- Department of Public Health, Federico II University of Naples, Naples, Italy
| | - Mariachiara Negrelli
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy; School of Pathology, University of Milan, Milan, Italy
| | - Edoardo Olmeda
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy; School of Pathology, University of Milan, Milan, Italy
| | - Davide Vacirca
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy
| | - Alberto Ranghiero
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy
| | - Dario Trapani
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy
| | - Carmen Criscitiello
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy
| | - Giuseppe Curigliano
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology IRCCS, Milan, Italy
| | - Christian Rolfo
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Umberto Malapelle
- Department of Public Health, Federico II University of Naples, Naples, Italy
| | - Nicola Fusco
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
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Nielsen BD, Kristensen S, Donskov A, Terslev L, Dreyer LW, Colic A, Hetland ML, Højgaard P, Ellingsen T, Hauge EM, Chrysidis S, Keller KK. The DANIsh VASculitis cohort study: protocol for a national multicenter prospective study including incident and prevalent patients with giant cell arteritis and polymyalgia rheumatica. Front Med (Lausanne) 2024; 11:1415076. [PMID: 39026552 PMCID: PMC11256208 DOI: 10.3389/fmed.2024.1415076] [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: 04/09/2024] [Accepted: 06/11/2024] [Indexed: 07/20/2024] Open
Abstract
The DANIsh VASculitis cohort study, DANIVAS, is an observational national multicenter study with the overall aim to prospectively collect protocolized clinical data and biobank material from patients with polymyalgia rheumatica (PMR) and giant cell arteritis (GCA) diagnosed and/or followed at Danish rheumatology departments. A long-term key objective is to investigate whether the use of new clinically implemented diagnostic imaging modalities facilitates disease stratification in the GCA-PMR disease spectrum. In particular, we aim to evaluate treatment requirements in GCA patients with and without large-vessel involvement, treatment needs in PMR patients with and without subclinical giant cell arteritis, and the prognostic role of imaging with respect to aneurysm development. Hence, in GCA and PMR, imaging stratification is hypothesized to be able to guide management strategies. With an established infrastructure within rheumatology for clinical studies in Denmark, the infrastructure of the Danish Rheumatologic Biobank, and the possibility to cross-link data with valid nationwide registries, the DANIVAS project holds an exceptional possibility to collect comprehensive real-world data on diagnosis, disease severity, disease duration, treatment effect, complications, and adverse events. In this paper, we present the research protocol for the DANIVAS study. Clinical trial registration: https://clinicaltrials.gov/, identifier NCT05935709.
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Affiliation(s)
- Berit D. Nielsen
- Department of Medicine, The Regional Hospital in Horsens, Horsens, Denmark
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Salome Kristensen
- Center of Rheumatic Research Aalborg (CERRA), Department of Rheumatology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Agnete Donskov
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Lene Terslev
- DANBIO and Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre for Head and Orthopedics, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lene Wohlfahrt Dreyer
- Center of Rheumatic Research Aalborg (CERRA), Department of Rheumatology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Ada Colic
- Department of Rheumatology, Zealand University Hospital, Køge, Denmark
| | - Merete Lund Hetland
- DANBIO and Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre for Head and Orthopedics, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pil Højgaard
- Department of Medicine (2), Holbæk Hospital, Holbæk, Denmark
| | - Torkell Ellingsen
- Department of Rheumatology, Odense University Hospital, Odense, Denmark
| | - Ellen-Margrethe Hauge
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Stavros Chrysidis
- Department of Rheumatology, University Hospital of Southern Denmark, Esbjerg, Denmark
| | - Kresten K. Keller
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Gynthersen R, Ørbæk M, Høgdall E, Glintborg B, Ostrowski SR, Harritshøj L, Hetland ML, Lebech AM, Mens H. Neoehrlichia mikurensis is uncommon in rheumatological patients receiving tumour necrosis factor inhibitors and in blood donors: a retrospective cohort study. RMD Open 2024; 10:e003660. [PMID: 38176737 PMCID: PMC10773428 DOI: 10.1136/rmdopen-2023-003660] [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: 08/29/2023] [Accepted: 10/26/2023] [Indexed: 01/06/2024] Open
Abstract
INTRODUCTION Neoehrlichia mikurensis is a tick-borne bacterium that primarily causes disease in immunocompromised patients. The bacterium has been detected in ticks throughout Europe, with a 0%-25% prevalence. N. mikurensis infection presents unspecific symptoms, which can easily be mistaken for inflammatory disease activity. We aimed to determine the prevalence of N. mikurensis in rheumatological patients receiving tumour necrosis factor inhibitors (TNFi) and a cohort of healthy individuals. MATERIALS AND METHODS This retrospective cohort study included 400 rheumatological patients treated with TNFi and 400 healthy blood donors. Plasma samples were retrieved from the Danish Rheumatological Biobank and the Danish Blood Donor Study between 2015 and 2022. Age, sex, diagnosis and duration of TNFi treatment were recovered from the Danish Rheumatological Database, DANBIO. Data on age and sex were available for the blood donors. One plasma sample per individual was tested for N. mikurensis DNA-specific real-time PCR targeting the groEL gene. RESULTS In the rheumatological patients, the median age was 61 years (IQR 55-68 years), 62% were women, and 44% had a diagnosis of seropositive rheumatoid arthritis. In total, 54% of the patients were treated with infliximab. The median time from TNFi initiation to blood sampling was 20 months (IQR, 5-60 months). N. mikurensis DNA was not detected in any samples from patients or blood donors. CONCLUSION N. mikurensis infection does not appear to represent a prevalent risk in Danish rheumatological patients receiving TNFi or in blood donors.
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Affiliation(s)
- Rosa Gynthersen
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Mathilde Ørbæk
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Estrid Høgdall
- Bio- and Genome Bank Denmark (RBGB), Molecular Unit, Department of Pathology, Herlev Hospital, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Bente Glintborg
- Department of Clinical Medicine, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
- DANBIO, The Danish Rheumatologic Biobank and Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark
| | - Sisse Rye Ostrowski
- Department of Clinical Medicine, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Lene Harritshøj
- Department of Clinical Medicine, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Merete Lund Hetland
- Department of Clinical Medicine, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
- DANBIO, The Danish Rheumatologic Biobank and Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark
| | - Anne-Mette Lebech
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Helene Mens
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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Dunvald ACD, Søltoft K, Sheetal E, Just SA, Frederiksen IEB, Nielsen F, Olsen DA, Madsen JS, Hendricks O, Stage TB. Cytochrome P450 activity in rheumatoid arthritis patients during continuous IL-6 receptor antagonist therapy. Eur J Clin Pharmacol 2023; 79:1687-1698. [PMID: 37831074 PMCID: PMC10663184 DOI: 10.1007/s00228-023-03578-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 09/22/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND Inflammation suppresses cytochrome P450 (CYP) enzyme activity, and single-dose interleukin 6 receptor antagonists (anti-IL-6R) reverse this effect. Here, we assess the impact of continuous anti-IL-6R therapy in patients with rheumatoid arthritis. METHODS In a clinical pharmacokinetic trial, the Basel cocktail was administered before and after 3 and 12 weeks of anti-IL-6R therapy to assess CYP enzyme activity (registered in the ClinicalTrials.gov database (identifier NCT04842981) on April 13th, 2021). In a retrospective study, the 4β-hydroxycholesterol/cholesterol ratio was measured as a biomarker for CYP3A4 activity before and after 3 and 6 months of anti-IL-6R therapy. The control group was patients initiating a tumor necrosis factor alfa (TNF-α) inhibitor. RESULTS In the clinical pharmacokinetic trial (n = 3), midazolam metabolic ratio (CYP3A4) was inconclusive due to the limited sample size. Midazolam AUC and Cmax indicate a weak impact on CYP3A4 activity after 3 weeks of anti-IL-6R therapy compared to baseline (AUC geometric mean ratio (GMR): 0.80, 95% CI: 0.64-0.99 and Cmax GMR: 0.58, 95% CI: 0.37-0.91), which returns to baseline levels after 12 weeks of therapy (AUC GMR 1.02, 95% CI: 0.72-1.46 and Cmax GMR 1.03, 95% CI 0.72-1.47). No effect on the 4β-hydroxycholesterol/cholesterol ratio was observed in the retrospective study. CONCLUSION Based on sparse data from three patients, continuous anti-IL-6R therapy seems to cause an acute but transient increase in CYP3A4 activity in rheumatoid arthritis patients, which may be due to a normalization of the inflammation-suppressed CYP activity. Further studies are warranted to understand the mechanism behind this putative transient effect. Trial registration Registered in the ClinicalTrials.gov database (identifier NCT04842981) on April 13th, 2021.
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Affiliation(s)
- Ann-Cathrine Dalgård Dunvald
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, JB Winsløwsvej 19, 2, DK-5000, Odense C, Denmark
| | - Kasper Søltoft
- Department of Rheumatology, Odense University Hospital, Odense, Denmark
| | - Ekta Sheetal
- Department of Rheumatology, Hospital South West Jutland, Esbjerg, Denmark
| | - Søren Andreas Just
- Section of Rheumatology, Department of Medicine, Svendborg Hospital, Odense University Hospital, Svendborg, Denmark
| | - Ida Emilie Brejning Frederiksen
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, JB Winsløwsvej 19, 2, DK-5000, Odense C, Denmark
| | - Flemming Nielsen
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, JB Winsløwsvej 19, 2, DK-5000, Odense C, Denmark
| | - Dorte Aalund Olsen
- Department of Biochemistry and Immunology, Lillebaelt Hospital, Vejle, Denmark
| | - Jonna Skov Madsen
- Department of Biochemistry and Immunology, Lillebaelt Hospital, Vejle, Denmark
- Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Oliver Hendricks
- Danish Hospital for Rheumatic Diseases, Hospital South Jutland, Sønderborg, Denmark
- The DANBIO Registry, Glostrup, Denmark
| | - Tore Bjerregaard Stage
- Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, JB Winsløwsvej 19, 2, DK-5000, Odense C, Denmark.
- Department of Clinical Pharmacology, Odense University Hospital, Odense, Denmark.
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Westerlind H, Glintborg B, Hammer HB, Saevarsdottir S, Krogh NS, Hetland ML, Hauge EM, Martinez Tejada I, Sexton J, Askling J. Remission, response, retention and persistence to treatment with disease-modifying agents in patients with rheumatoid arthritis: a study of harmonised Swedish, Danish and Norwegian cohorts. RMD Open 2023; 9:e003027. [PMID: 37673441 PMCID: PMC10496677 DOI: 10.1136/rmdopen-2023-003027] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 07/21/2023] [Indexed: 09/08/2023] Open
Abstract
OBJECTIVE Precision medicine in rheumatoid arthritis (RA) requires a good understanding of treatment outcomes and often collaborative efforts that call for data harmonisation. We aimed to describe how harmonisation across study cohorts can be achieved and investigate how the observed proportions reaching remission vary across remission criteria, study types, disease-modifying antirheumatic drugs (DMARDs) and countries, and how they relate to other treatment outcomes. METHODS We used data from eight existing large-scale, clinical RA registers and a pragmatic trial from Sweden, Denmark and Norway. In these, we defined three types of treatment cohorts; methotrexate monotherapy (as first DMARD), tumour necrosis factor inhibitors (TNFi) (as first biological DMARD) and rituximab. We developed a harmonised study protocol defining time points during 36 months of follow-up, collected clinical visit data on treatment response, retention, persistence and six alternative definitions of remission, and investigated how these outcomes differed within and between cohorts, by treatment. RESULTS Cohort sizes ranged from ~50 to 22 000 patients with RA. The proportions reaching each outcome varied across outcome metric, but with small to modest variations within and between cohorts, countries and treatment. Retention and persistence rates were high (>50% at 1 year), yet <33% of patients starting methotrexate or TNFi, and only 10% starting rituximab, remained on drug without other DMARDs added and achieved American Congress of Rheumatology/European Alliance of Associations for Rheumatology or Simplified Disease Activity Index remission at 1 year. CONCLUSION Harmonisation of data from different RA data sources can be achieved without compromising internal validity or generalisability. The low proportions reaching remission, point to an unmet need for treatment optimisation in RA.
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Affiliation(s)
- Helga Westerlind
- Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Bente Glintborg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- DANBIO and Copenhagen Center for Arthritis Research (COPECARE), Centre for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet Glostrup, Glostrup, Denmark
| | - Hilde Berner Hammer
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Saedis Saevarsdottir
- Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Niels Steen Krogh
- DANBIO and Copenhagen Center for Arthritis Research (COPECARE), Centre for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet Glostrup, Glostrup, Denmark
| | - Merete Lund Hetland
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- DANBIO and Copenhagen Center for Arthritis Research (COPECARE), Centre for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet Glostrup, Glostrup, Denmark
| | - Ellen-Margrethe Hauge
- Department of Rheumatology, Aarhus University Hospital Skejby, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Isabel Martinez Tejada
- DANBIO and Copenhagen Center for Arthritis Research (COPECARE), Centre for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet Glostrup, Glostrup, Denmark
| | - Joseph Sexton
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
| | - Johan Askling
- Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
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Couch Y. Challenges associated with using extracellular vesicles as biomarkers in neurodegenerative disease. Expert Rev Mol Diagn 2023; 23:1091-1105. [PMID: 37916853 DOI: 10.1080/14737159.2023.2277373] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/26/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION The hunt for new biomarkers - for the diagnosis of subcategories of disease, or for the monitoring of the efficacy of novel therapeutics - is an increasingly relevant challenge in the current era of precision medicine. In neurodegenerative research, the aim is to look for simple tools which can predict cognitive or motor decline early, and to determine whether these can also be used to test the efficacy of new interventions. Extracellular vesicles (EVs) are thought to play an important role in intercellular communication and have been shown to play a vital role in a number of diseases. AREAS COVERED The aim of this review is to examine what we know about EVs in neurodegeneration and to discuss their potential to be diagnostic and prognostic biomarkers in the future. It will cover the techniques used to isolate and study EVs and what is currently known about their presence in neurodegenerative diseases. In particular, we will discuss what is required for standardization in biomarker research, and the challenges associated with using EVs within this framework. EXPERT OPINION The technical challenges associated with isolating EVs consistently, combined with the complex techniques required for their efficient analysis, might preclude 'pure' EV populations from being used as effective biomarkers. Whilst biomarker discovery is important for more effective diagnosis, monitoring, prediction and prognosis in neurodegenerative disease, reproducibility and ease-of-use should be the priorities.
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Affiliation(s)
- Yvonne Couch
- Acute Stroke Program, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
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9
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Richter JG, Filla T, Acar H, Bleck E, Kernder A, Düsing C, Vordenbäumen S, Schröder M, Hansen R, Distler JHW, Schneider M. Sustained agreement rates in the longitudinal assessment of lupus patients to a Broad Consent for personal data and specimen usage in the RHINEVIT biobank. Front Med (Lausanne) 2023; 10:1208006. [PMID: 37415767 PMCID: PMC10321663 DOI: 10.3389/fmed.2023.1208006] [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: 04/18/2023] [Accepted: 05/30/2023] [Indexed: 07/08/2023] Open
Abstract
Background Biobanks are essential structures for scientific research. The RHINEVIT biobank is used to recruit biomaterials from rheumatology patients in outpatient care and to conduct clinical research studies (e.g., cohort studies) and basic research. RHINEVIT established Broad Consents (BC) to allow extensive and relevant usage of data and biospecimens without the need for specific project restrictions. For quality assurance, we compared the consent rate of individual items of the BC versions in patients with systemic lupus erythematosus (SLE) in the longitudinal study. Methods BCs were used for biomaterial donation. Informed consent data from RHINEVIT were analyzed. Due to the content restructuring of the BC items due to changes from the templates of the working group of the Medical Ethics Commissions in the Federal Republic of Germany and GDPR requirements, content mapping of the items was performed for the analysis. Results From September 2015 to March 2022, 291 SLE outpatients donated biomaterials. In 119 patients, the BC was renewed at least once in a subsequent biomaterial donation. Three biomaterial donations were obtained from 21 patients and four from six patients using the respective BC. However, one consent was later revoked. Consent to the BC topics showed consistently high rates of agreement (range 97.5%-100%), with only some patients disagreeing with individual topics. This remained stable over time (median 526 days [Q1 400, Q3 844]). None of the patients disagreed with a certain topic in two consecutive visits. Conclusion Modifications to the BC did not result in any relevant changes in the approval rates for SLE patients. RHINEVIT's BC is successfully used for the quality-assured handling of excellently annotated biomaterial. The long-term use of these highly valuable biospecimens for unrestricted research, also in an international context, remains assured.
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Affiliation(s)
- Jutta G. Richter
- Clinic for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
- Hiller Research Center, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
| | - Tim Filla
- Clinic for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
- Hiller Research Center, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
| | - Hasan Acar
- Clinic for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
- Hiller Research Center, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
| | - Ellen Bleck
- Clinic for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
- Hiller Research Center, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
| | - Anna Kernder
- Clinic for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
- Hiller Research Center, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
| | - Christina Düsing
- Clinic for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
- Hiller Research Center, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
| | - Stefan Vordenbäumen
- Hiller Research Center, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
- Department of Rheumatology, St. Elisabeth-Hospital Meerbusch-Lank, Meerbusch, Germany
| | | | | | - Jörg H. W. Distler
- Clinic for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
- Hiller Research Center, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
| | - Matthias Schneider
- Clinic for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
- Hiller Research Center, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Düsseldorf, Germany
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10
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Laugesen K, Mengel-From J, Christensen K, Olsen J, Hougaard DM, Boding L, Olsen A, Erikstrup C, Hetland ML, Høgdall E, Kjaergaard AD, Sørensen E, Brügmann A, Petersen ERB, Brandslund I, Nordestgaard BG, Jensen GB, Skajaa N, Troelsen FS, Fuglsang CH, Svingel LS, Sørensen HT. A Review of Major Danish Biobanks: Advantages and Possibilities of Health Research in Denmark. Clin Epidemiol 2023; 15:213-239. [PMID: 36852012 PMCID: PMC9960719 DOI: 10.2147/clep.s392416] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 01/20/2023] [Indexed: 02/23/2023] Open
Abstract
Biobank research may lead to an improved understanding of disease etiology and advance personalized medicine. Denmark (population ~5.9 million) provides a unique setting for population-based health research. The country is a rich source of biobanks and the universal, tax-funded healthcare system delivers routinely collected data to numerous registries and databases. By virtue of the civil registration number (assigned uniquely to all Danish citizens), biological specimens stored in biobanks can be combined with clinical and demographic data from these population-based health registries and databases. In this review, we aim to provide an understanding of advantages and possibilities of biobank research in Denmark. As knowledge about the Danish setting is needed to grasp the full potential, we first introduce the Danish healthcare system, the Civil Registration System, the population-based registries, and the interface with biobanks. We then describe the biobank infrastructures, comprising the Danish National Biobank Initiative, the Bio- and Genome Bank Denmark, and the Danish National Genome Center. Further, we briefly provide an overview of fourteen selected biobanks, including: The Danish Newborn Screening Biobank; The Danish National Birth Cohort; The Danish Twin Registry Biobank; Diet, Cancer and Health; Diet, Cancer and Health - Next generations; Danish Centre for Strategic Research in Type 2 Diabetes; Vejle Diabetes Biobank; The Copenhagen Hospital Biobank; The Copenhagen City Heart Study; The Copenhagen General Population Study; The Danish Cancer Biobank; The Danish Rheumatological Biobank; The Danish Blood Donor Study; and The Danish Pathology Databank. Last, we inform on practical aspects, such as data access, and discuss future implications.
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Affiliation(s)
- Kristina Laugesen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Jonas Mengel-From
- Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Jørn Olsen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - David M Hougaard
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.,Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Lasse Boding
- The Danish National Biobank, Statens Serum Institut, Copenhagen, Denmark
| | - Anja Olsen
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark.,Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Merete Lund Hetland
- The DANBIO Registry and Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Copenhagen University Hospital Rigshospitalet, Glostrup, Denmark.,Department of Clinical Medicine, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Estrid Høgdall
- Department of Clinical Medicine, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark.,Bio- and GenomeBank Denmark (RBGB), Molecular Unit, Department of Pathology, Herlev Hospital, Herlev, Denmark
| | - Alisa D Kjaergaard
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Erik Sørensen
- Department of Clinical Immunology, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark
| | - Anja Brügmann
- Department of Pathology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Ivan Brandslund
- Department of Clinical Biochemistry and Immunology, Lillebaelt Hospital, Vejle, Denmark.,Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Børge G Nordestgaard
- The Copenhagen General Population Study, Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev Gentofte, University of Copenhagen, Herlev, Denmark
| | - Gorm B Jensen
- The Copenhagen City Heart Study, Frederiksberg and Bispebjerg Hospital, Frederiksberg, Denmark
| | - Nils Skajaa
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | | | | | - Lise Skovgaard Svingel
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
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11
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Saevarsdottir S, Stefansdottir L, Sulem P, Thorleifsson G, Ferkingstad E, Rutsdottir G, Glintborg B, Westerlind H, Grondal G, Loft IC, Sorensen SB, Lie BA, Brink M, Ärlestig L, Arnthorsson AO, Baecklund E, Banasik K, Bank S, Bjorkman LI, Ellingsen T, Erikstrup C, Frei O, Gjertsson I, Gudbjartsson DF, Gudjonsson SA, Halldorsson GH, Hendricks O, Hillert J, Hogdall E, Jacobsen S, Jensen DV, Jonsson H, Kastbom A, Kockum I, Kristensen S, Kristjansdottir H, Larsen MH, Linauskas A, Hauge EM, Loft AG, Ludviksson BR, Lund SH, Markusson T, Masson G, Melsted P, Moore KHS, Munk H, Nielsen KR, Norddahl GL, Oddsson A, Olafsdottir TA, Olason PI, Olsson T, Ostrowski SR, Hørslev-Petersen K, Rognvaldsson S, Sanner H, Silberberg GN, Stefansson H, Sørensen E, Sørensen IJ, Turesson C, Bergman T, Alfredsson L, Kvien TK, Brunak S, Steinsson K, Andersen V, Andreassen OA, Rantapää-Dahlqvist S, Hetland ML, Klareskog L, Askling J, Padyukov L, Pedersen OB, Thorsteinsdottir U, Jonsdottir I, Stefansson K. Multiomics analysis of rheumatoid arthritis yields sequence variants that have large effects on risk of the seropositive subset. Ann Rheum Dis 2022; 81:1085-1095. [PMID: 35470158 PMCID: PMC9279832 DOI: 10.1136/annrheumdis-2021-221754] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 04/04/2022] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To find causal genes for rheumatoid arthritis (RA) and its seropositive (RF and/or ACPA positive) and seronegative subsets. METHODS We performed a genome-wide association study (GWAS) of 31 313 RA cases (68% seropositive) and ~1 million controls from Northwestern Europe. We searched for causal genes outside the HLA-locus through effect on coding, mRNA expression in several tissues and/or levels of plasma proteins (SomaScan) and did network analysis (Qiagen). RESULTS We found 25 sequence variants for RA overall, 33 for seropositive and 2 for seronegative RA, altogether 37 sequence variants at 34 non-HLA loci, of which 15 are novel. Genomic, transcriptomic and proteomic analysis of these yielded 25 causal genes in seropositive RA and additional two overall. Most encode proteins in the network of interferon-alpha/beta and IL-12/23 that signal through the JAK/STAT-pathway. Highlighting those with largest effect on seropositive RA, a rare missense variant in STAT4 (rs140675301-A) that is independent of reported non-coding STAT4-variants, increases the risk of seropositive RA 2.27-fold (p=2.1×10-9), more than the rs2476601-A missense variant in PTPN22 (OR=1.59, p=1.3×10-160). STAT4 rs140675301-A replaces hydrophilic glutamic acid with hydrophobic valine (Glu128Val) in a conserved, surface-exposed loop. A stop-mutation (rs76428106-C) in FLT3 increases seropositive RA risk (OR=1.35, p=6.6×10-11). Independent missense variants in TYK2 (rs34536443-C, rs12720356-C, rs35018800-A, latter two novel) associate with decreased risk of seropositive RA (ORs=0.63-0.87, p=10-9-10-27) and decreased plasma levels of interferon-alpha/beta receptor 1 that signals through TYK2/JAK1/STAT4. CONCLUSION Sequence variants pointing to causal genes in the JAK/STAT pathway have largest effect on seropositive RA, while associations with seronegative RA remain scarce.
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Affiliation(s)
- Saedis Saevarsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland
- Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Medicine, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | | | | | | | | | | | - Bente Glintborg
- The DANBIO registry, the Danish Rheumatologic Biobank and Copenhagen Center for Arthritis Research (COPECARE), Centre for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Helga Westerlind
- Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Gerdur Grondal
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Medicine, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
- Center for Rheumatology Research, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Isabella C Loft
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Signe Bek Sorensen
- Molecular Diagnostics and Clinical Research Unit, IRS-Center Sonderjylland, University Hospital of Southern Denmark, Aabenraa, Denmark
| | - Benedicte A Lie
- Department of Medical Genetics, University of Oslo, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
| | - Mikael Brink
- Department of Public Health and Clinical Medicine, Rheumatology, Umeå University, Umeå, Sweden
| | - Lisbeth Ärlestig
- Department of Public Health and Clinical Medicine, Rheumatology, Umeå University, Umeå, Sweden
| | | | - Eva Baecklund
- Department of Medical Sciences, Section of Rheumatology, Uppsala University, Uppsala, Sweden
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Steffen Bank
- Molecular Diagnostics and Clinical Research Unit, IRS-Center Sonderjylland, University Hospital of Southern Denmark, Aabenraa, Denmark
| | - Lena I Bjorkman
- Department of Rheumatology and Inflammation research, University of Gothenburg, Gothenburg, Sweden
| | - Torkell Ellingsen
- OPEN Explorative Network, University of Southern Denmark, Odense, Denmark
- Rheumatology Research Unit, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Inger Gjertsson
- Department of Rheumatology and Inflammation Research, Gothenburg University, Gothenburg, Sweden
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Gisli H Halldorsson
- deCODE genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Oliver Hendricks
- Danish Hospital for Rheumatic Diseases, University Hospital of Southern Denmark, Sønderborg, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Jan Hillert
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Estrid Hogdall
- Department of Pathology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Søren Jacobsen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Lupus and Vasculitis Clinic, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen, Denmark
| | - Dorte Vendelbo Jensen
- Department of Rheumatology, Center for Rheumatology and Spine Diseases, Gentofte and Herlev Hospital, Rønne, Denmark
| | - Helgi Jonsson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Medicine, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Alf Kastbom
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Ingrid Kockum
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Salome Kristensen
- Department of Rheumatology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Helga Kristjansdottir
- Center for Rheumatology Research, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Margit H Larsen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Asta Linauskas
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Rheumatology, North Denmark Regional Hospital, Hjørring, Denmark
| | - Ellen-Margrethe Hauge
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Anne G Loft
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Bjorn R Ludviksson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Immunology, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | | | - Thorsteinn Markusson
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Pall Melsted
- deCODE genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Heidi Munk
- OPEN Explorative Network, University of Southern Denmark, Odense, Denmark
- Rheumatology Research Unit, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Kaspar R Nielsen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | | | | | - Thorunn A Olafsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Tomas Olsson
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Sisse Rye Ostrowski
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Kim Hørslev-Petersen
- Danish Hospital for Rheumatic Diseases, University Hospital of Southern Denmark, Sønderborg, Denmark
| | | | - Helga Sanner
- Section of Rheumatology, Oslo University Hospital, Oslo, Norway
- Oslo New University College, Oslo, Norway
| | - Gilad N Silberberg
- Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | | | - Erik Sørensen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Inge J Sørensen
- Copenhagen Lupus and Vasculitis Clinic, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen, Denmark
| | - Carl Turesson
- Rheumatology, Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden
| | - Thomas Bergman
- Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Tore K Kvien
- University of Oslo, Oslo, Norway
- Diakonhjemmet Hospital, Oslo, Norway
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristján Steinsson
- Center for Rheumatology Research, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Vibeke Andersen
- Molecular Diagnostics and Clinical Research Unit, IRS-Center Sonderjylland, University Hospital of Southern Denmark, Aabenraa, Denmark
- OPEN Explorative Network, University of Southern Denmark, Odense, Denmark
- Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Merete Lund Hetland
- The DANBIO registry, the Danish Rheumatologic Biobank and Copenhagen Center for Arthritis Research (COPECARE), Centre for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars Klareskog
- Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Johan Askling
- Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Leonid Padyukov
- Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Ole Bv Pedersen
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Ingileif Jonsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Immunology, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
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De Cock D, Myasoedova E, Aletaha D, Studenic P. Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs). Ther Adv Musculoskelet Dis 2022; 14:1759720X221105978. [PMID: 35794905 PMCID: PMC9251966 DOI: 10.1177/1759720x221105978] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 05/22/2022] [Indexed: 11/17/2022] Open
Abstract
Health care processes are under constant development and will need to embrace advances in technology and health science aiming to provide optimal care. Considering the perspective of increasing treatment options for people with rheumatic and musculoskeletal diseases, but in many cases not reaching all treatment targets that matter to patients, care systems bare potential to improve on a holistic level. This review provides an overview of systems and technologies under evaluation over the past years that show potential to impact diagnosis and treatment of rheumatic diseases in about 10 years from now. We summarize initiatives and studies from the field of electronic health records, biobanking, remote monitoring, and artificial intelligence. The combination and implementation of these opportunities in daily clinical care will be key for a new era in care of our patients. This aims to inform rheumatologists and healthcare providers concerned with chronic inflammatory musculoskeletal conditions about current important and promising developments in science that might substantially impact the management processes of rheumatic diseases in the 2030s.
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Affiliation(s)
- Diederik De Cock
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Elena Myasoedova
- Division of Rheumatology, Department of Internal Medicine and Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Daniel Aletaha
- Division of Rheumatology, Department of Internal Medicine 3, Medical University Vienna, Vienna, Austria
| | - Paul Studenic
- Division of Rheumatology, Department of Internal Medicine 3, Medical University Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
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13
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Assessment of immunogenicity and drug activity in patient sera by flow-induced dispersion analysis. Sci Rep 2022; 12:4670. [PMID: 35304547 PMCID: PMC8933425 DOI: 10.1038/s41598-022-08682-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 03/09/2022] [Indexed: 01/20/2023] Open
Abstract
Biopharmaceuticals have revolutionized the treatment of many diseases such as diabetes, cancer, and autoimmune disorders. These complex entities provide unique advantages like high specificity towards their target. Unfortunately, biopharmaceuticals are also prone to elicit undesired immunogenic responses (immunogenicity), compromising treatment efficacy as well as patient safety due to severe adverse effects including life threatening conditions. Current immunogenicity assays are hampered by immobilization procedures, complicated sample pre-treatment, or rely on cell-based methods which all prevent reliable and continuous monitoring of patients. In this work, we present Flow Induced Dispersion Analysis (FIDA) for assessment of immunogenicity and drug activity in serum samples from arthritis patients receiving adalimumab. FIDA is a first principle technique for size-based characterization of biomolecules and their complexes under biologically relevant conditions. The FIDA methodology rely on an absolute and quantitative readout (hydrodynamic radius) thus reducing the need for positive and negative controls. Here, FIDA is applied for evaluating active adalimumab in serum by studying the interaction with its target tumor necrosis factor alpha (TNF-α). We report proof of principle for a quantitative approach for stratifying patients exhibiting presence of neutralizing and non-neutralizing antibodies based on their individual drug activity pattern. Further, it can be applied to any biopharmaceutical having soluble drug targets and it holds potential in a companion diagnostics setting.
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14
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Laugesen K, Ludvigsson JF, Schmidt M, Gissler M, Valdimarsdottir UA, Lunde A, Sørensen HT. Nordic Health Registry-Based Research: A Review of Health Care Systems and Key Registries. Clin Epidemiol 2021; 13:533-554. [PMID: 34321928 PMCID: PMC8302231 DOI: 10.2147/clep.s314959] [Citation(s) in RCA: 283] [Impact Index Per Article: 70.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 06/05/2021] [Indexed: 12/19/2022] Open
Abstract
The Nordic countries are Denmark, Finland, Iceland, Norway, and Sweden and comprise a total population of approximately 27 million. The countries provide unique opportunities for joint health registry-based research in large populations with long and complete follow-up, facilitated by shared features, such as the tax-funded and public health care systems, the similar population-based registries, and the personal identity number as unique identifier of all citizens. In this review, we provide an introduction to the health care systems, key registries, and how to navigate the practical and ethical aspects of setting up such studies. For each country, we provide an overview of population statistics and health care expenditures, and describe the operational and administrative organization of the health care system. The Nordic registries provide population-based, routine, and prospective data on individuals lives and health with virtually complete follow-up and exact censoring information. We briefly describe the total population registries, birth registries, patient registries, cancer registries, prescription registries, and causes of death registries with a focus on period of coverage, selected key variables, and potential limitations. Lastly, we discuss some practical and legal perspectives. The potential of joint research is not fully exploited, mainly due to legal and practical difficulties in, for example, cross-border sharing of data. Future tasks include clear and transparent legal pathways and a framework by which practical aspects are facilitated.
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Affiliation(s)
- Kristina Laugesen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Jonas F Ludvigsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Pediatrics, Örebro University Hospital, Örebro, Sweden
| | - Morten Schmidt
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.,Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Mika Gissler
- Information Services Department, THL Finnish Institute for Health and Welfare, Helsinki, Finland.,Research Centre for Child Psychiatry, University of Turku, Turku, Finland.,Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden and Region Stockholm, Academic Primary Health Care Centre, Stockholm, Sweden
| | - Unnur Anna Valdimarsdottir
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Center of Public Health Science, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Astrid Lunde
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.,KOR, The Danish Advisory Board on Register Based Research, the Danish e-infrastructure Cooperation, Copenhagen, Denmark
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15
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Gabay C, Burmester GR, Strand V, Msihid J, Zilberstein M, Kimura T, van Hoogstraten H, Boklage SH, Sadeh J, Graham NMH, Boyapati A. Sarilumab and adalimumab differential effects on bone remodelling and cardiovascular risk biomarkers, and predictions of treatment outcomes. Arthritis Res Ther 2020; 22:70. [PMID: 32264972 PMCID: PMC7137491 DOI: 10.1186/s13075-020-02163-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 03/27/2020] [Indexed: 12/31/2022] Open
Abstract
Background Interleukin-6 (IL-6) is a pleiotropic cytokine that plays a key role in the pathogenesis of rheumatoid arthritis. Sarilumab is a human monoclonal antibody that binds membrane-bound and soluble IL-6 receptor-α to inhibit IL-6 signalling. The aim of this study was to compare the effects of sarilumab and adalimumab (a tumour necrosis factor alpha inhibitor) monotherapy on levels of circulating biomarkers associated with the acute-phase response, bone remodelling, atherothrombosis, anaemia of chronic disease and markers purported to reflect synovial lymphoid and myeloid cell infiltrates, as well as the potential of these biomarkers to differentially predict clinical and patient-reported outcomes with sarilumab vs. adalimumab. Methods In this post hoc analysis, serum samples were analysed at baseline and prespecified post-treatment timepoints up to week 24 in adults with moderate-to-severe active rheumatoid arthritis intolerant of or inadequate responders to methotrexate from the MONARCH trial (NCT02332590). Results Greater reductions in C-reactive protein (CRP; − 94.0% vs. –24.0%), serum amyloid A (SAA; − 83.2% vs. –17.4%), total receptor activator of nuclear factor-κB ligand (RANKL; − 18.3% vs. 10.5%) and lipoprotein (a) (− 41.0% vs. –2.8%) were observed at week 24 with sarilumab vs. adalimumab, respectively (adjusted p < 0.0001). Greater increases in procollagen type 1 N-terminal propeptide (P1NP) were observed with sarilumab vs. adalimumab at week 24 (22.8% vs. 6.2%, p = 0.027). Patients with high baseline SAA, CRP and matrix metalloproteinase-3 (MMP-3) were more likely to achieve clinical efficacy, including American College of Rheumatology 20% improvement criteria and Disease Activity Score (28 joints)-CRP < 3.2, and report improvements in patient-reported outcomes, including Health Assessment Questionnaire-Disability Index and pain visual analogue scale, with sarilumab than adalimumab. Conclusion Sarilumab was associated with greater positive effects on bone remodelling and decreases in biomarkers of the acute-phase response, synovial inflammation and cardiovascular risk vs. adalimumab. High baseline concentrations of SAA, CRP and MMP-3 are predictive of clinical and patient-reported outcome responses to sarilumab treatment and prospective validation is warranted to confirm these results. Trial registration ClinicalTrials.gov, NCT02332590. Registered on 5 January 2015
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Affiliation(s)
- Cem Gabay
- University Hospitals of Geneva, Geneva, Switzerland
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Madav Y, Barve K, Prabhakar B. Current trends in theranostics for rheumatoid arthritis. Eur J Pharm Sci 2020; 145:105240. [DOI: 10.1016/j.ejps.2020.105240] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 01/23/2020] [Accepted: 01/23/2020] [Indexed: 01/08/2023]
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17
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Beketova TV. The development of rheumatology at the stage of formation of a new technological paradigm. RHEUMATOLOGY SCIENCE AND PRACTICE 2019. [DOI: 10.14412/1995-4484-2019-490-495] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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