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Baeten P, Hamad I, Hoeks C, Hiltensperger M, Van Wijmeersch B, Popescu V, Aly L, Somers V, Korn T, Kleinewietfeld M, Hellings N, Broux B. Rapamycin rescues loss of function in blood-brain barrier-interacting Tregs. JCI Insight 2024; 9:e167457. [PMID: 38386413 PMCID: PMC11128200 DOI: 10.1172/jci.insight.167457] [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: 11/28/2022] [Accepted: 02/15/2024] [Indexed: 02/24/2024] Open
Abstract
In autoimmunity, FOXP3+ Tregs skew toward a proinflammatory, nonsuppressive phenotype and are, therefore, unable to control the exaggerated autoimmune response. This largely affects the success of autologous Treg therapy, which is currently under investigation for autoimmune diseases, including multiple sclerosis (MS). There is a need to ensure in vivo Treg stability before successful application of Treg therapy. Using genetic fate-mapping mice, we demonstrate that inflammatory, cytokine-expressing exFOXP3 T cells accumulate in the CNS during experimental autoimmune encephalomyelitis. In a human in vitro model, we discovered that interaction with inflamed blood-brain barrier endothelial cells (BBB-ECs) induces loss of function by Tregs. Transcriptome and cytokine analysis revealed that in vitro migrated Tregs have disrupted regenerative potential and a proinflammatory Th1/17 signature, and they upregulate the mTORC1 signaling pathway. In vitro treatment of migrated human Tregs with the clinically approved mTORC1 inhibitor rapamycin restored suppression. Finally, flow cytometric analysis indicated an enrichment of inflammatory, less-suppressive CD49d+ Tregs in the cerebrospinal fluid of people with MS. In summary, interaction with BBB-ECs is sufficient to affect Treg function, and transmigration triggers an additive proinflammatory phenotype switch. These insights help improve the efficacy of autologous Treg therapy of MS.
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Affiliation(s)
- Paulien Baeten
- Universitair MS Centrum, Campus Diepenbeek, Belgium
- Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Ibrahim Hamad
- Universitair MS Centrum, Campus Diepenbeek, Belgium
- VIB Laboratory of Translational Immunomodulation, Center for Inflammation Research (IRC), Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Cindy Hoeks
- Universitair MS Centrum, Campus Diepenbeek, Belgium
- Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Michael Hiltensperger
- Klinikum Rechts der Isar, Institute for Experimental Neuroimmunology, Technische Universität München, Munich, Germany
| | - Bart Van Wijmeersch
- Universitair MS Centrum, Campus Pelt, Belgium
- Noorderhart, Revalidatie & MS Centrum, Pelt, Belgium
| | - Veronica Popescu
- Universitair MS Centrum, Campus Pelt, Belgium
- Noorderhart, Revalidatie & MS Centrum, Pelt, Belgium
| | - Lilian Aly
- Klinikum Rechts der Isar, Institute for Experimental Neuroimmunology, Technische Universität München, Munich, Germany
| | - Veerle Somers
- Universitair MS Centrum, Campus Diepenbeek, Belgium
- Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Thomas Korn
- Klinikum Rechts der Isar, Institute for Experimental Neuroimmunology, Technische Universität München, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Markus Kleinewietfeld
- Universitair MS Centrum, Campus Diepenbeek, Belgium
- VIB Laboratory of Translational Immunomodulation, Center for Inflammation Research (IRC), Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Niels Hellings
- Universitair MS Centrum, Campus Diepenbeek, Belgium
- Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Bieke Broux
- Universitair MS Centrum, Campus Diepenbeek, Belgium
- Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
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Beckers L, Baeten P, Popescu V, Swinnen D, Cardilli A, Hamad I, Van Wijmeersch B, Tavernier SJ, Kleinewietfeld M, Broux B, Fraussen J, Somers V. Alterations in the innate and adaptive immune system in a real-world cohort of multiple sclerosis patients treated with ocrelizumab. Clin Immunol 2024; 259:109894. [PMID: 38185268 DOI: 10.1016/j.clim.2024.109894] [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: 10/18/2023] [Revised: 12/22/2023] [Accepted: 01/03/2024] [Indexed: 01/09/2024]
Abstract
B cell depletion by the anti-CD20 antibody ocrelizumab is effective in relapsing-remitting (RR) and primary progressive (PP) multiple sclerosis (MS). We investigated immunological changes in peripheral blood of a real-world MS cohort after 6 and 12 months of ocrelizumab. All RRMS and most PPMS patients (15/20) showed treatment response. Ocrelizumab not only reduced CD20+ B cells, but also numbers of CD20+ T cells. Absolute numbers of monocytes, dendritic cells and CD8+ T cells were increased, while CD56hi natural killer cells were reduced after ocrelizumab. The residual B cell population shifted towards transitional and activated, IgA+ switched memory B cells, double negative B cells, and antibody-secreting cells. Delaying the treatment interval by 2-3 months increased mean B cell frequencies and enhanced naive B cell repopulation. Ocrelizumab reduced plasma levels of interleukin(IL)-12p70 and interferon(IFN)-α2. These findings will contribute to understanding ineffective treatment responses, dealing with life-threatening infections and further unravelling MS pathogenesis.
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Affiliation(s)
- L Beckers
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - P Baeten
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - V Popescu
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium; Noorderhart, Rehabilitation and MS Center, Pelt, Belgium
| | - D Swinnen
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium; VIB Laboratory of Translational Immunomodulation, Center for Inflammation Research (IRC), Diepenbeek, Belgium
| | - A Cardilli
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium; VIB Laboratory of Translational Immunomodulation, Center for Inflammation Research (IRC), Diepenbeek, Belgium
| | - I Hamad
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium; VIB Laboratory of Translational Immunomodulation, Center for Inflammation Research (IRC), Diepenbeek, Belgium
| | - B Van Wijmeersch
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium; Noorderhart, Rehabilitation and MS Center, Pelt, Belgium
| | - S J Tavernier
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium; Unit of Molecular Signal Transduction in Inflammation, VIB-UGent Center for Inflammation Research (IRC), Ghent, Belgium
| | - M Kleinewietfeld
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium; VIB Laboratory of Translational Immunomodulation, Center for Inflammation Research (IRC), Diepenbeek, Belgium
| | - B Broux
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - J Fraussen
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - V Somers
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium.
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3
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Moqri M, Herzog C, Poganik JR, Ying K, Justice JN, Belsky DW, Higgins-Chen AT, Chen BH, Cohen AA, Fuellen G, Hägg S, Marioni RE, Widschwendter M, Fortney K, Fedichev PO, Zhavoronkov A, Barzilai N, Lasky-Su J, Kiel DP, Kennedy BK, Cummings S, Slagboom PE, Verdin E, Maier AB, Sebastiano V, Snyder MP, Gladyshev VN, Horvath S, Ferrucci L. Validation of biomarkers of aging. Nat Med 2024; 30:360-372. [PMID: 38355974 PMCID: PMC11090477 DOI: 10.1038/s41591-023-02784-9] [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: 09/07/2023] [Accepted: 12/19/2023] [Indexed: 02/16/2024]
Abstract
The search for biomarkers that quantify biological aging (particularly 'omic'-based biomarkers) has intensified in recent years. Such biomarkers could predict aging-related outcomes and could serve as surrogate endpoints for the evaluation of interventions promoting healthy aging and longevity. However, no consensus exists on how biomarkers of aging should be validated before their translation to the clinic. Here, we review current efforts to evaluate the predictive validity of omic biomarkers of aging in population studies, discuss challenges in comparability and generalizability and provide recommendations to facilitate future validation of biomarkers of aging. Finally, we discuss how systematic validation can accelerate clinical translation of biomarkers of aging and their use in gerotherapeutic clinical trials.
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Affiliation(s)
- Mahdi Moqri
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Chiara Herzog
- European Translational Oncology Prevention and Screening Institute, Universität Innsbruck, Innsbruck, Austria
| | - Jesse R Poganik
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kejun Ying
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jamie N Justice
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Daniel W Belsky
- Department of Epidemiology, Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - Brian H Chen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, USA
| | - Alan A Cohen
- Department of Environmental Health Sciences, Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Georg Fuellen
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Martin Widschwendter
- European Translational Oncology Prevention and Screening Institute, Universität Innsbruck, Innsbruck, Austria
- Department of Women's Cancer, EGA Institute for Women's Health, University College London, London, UK
- Department of Women's and Children's Health, Division of Obstetrics and Gynaecology, Karolinska Institutet, Stockholm, Sweden
| | | | | | | | - Nir Barzilai
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jessica Lasky-Su
- Department of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Douglas P Kiel
- Musculoskeletal Research Center, Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Brian K Kennedy
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore
| | - Steven Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - P Eline Slagboom
- Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Eric Verdin
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Andrea B Maier
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore
- Department of Human Movement Sciences, @AgeAmsterdam, Amsterdam Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Vittorio Sebastiano
- Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Michael P Snyder
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Ruytinx P, Vandormael P, Fraussen J, Pieters Z, Thonissen S, Hellings N, Stinissen P, Callebaut I, Penders J, Vanhove K, Kieffer D, Rummens JL, Valkenborgh T, Messiaen P, Stessel B, Mesotten D, Somers V. Comprehensive antibody and cytokine profiling in hospitalized COVID-19 patients in relation to clinical outcomes in a large Belgian cohort. Sci Rep 2023; 13:19322. [PMID: 37935729 PMCID: PMC10630327 DOI: 10.1038/s41598-023-46421-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 10/31/2023] [Indexed: 11/09/2023] Open
Abstract
The immune response in patients with Coronavirus Disease 2019 (COVID-19) is highly variable and is linked to disease severity and mortality. However, antibody and cytokine responses in the early disease stage and their association with disease course and outcome are still not completely understood. In this large, multi-centre cohort study, blood samples of 434 Belgian COVID-19 hospitalized patients with different disease severities (ranging from asymptomatic/mild to critically ill) from the first wave of the COVID-19 pandemic were obtained. Baseline antibody and cytokine responses were characterized and associations with several clinical outcome parameters were determined. Anti-spike immunoglobulin (Ig)G and IgM levels were elevated in patients with a more severe disease course. This increased baseline antibody response however was associated with decreased odds for hospital mortality. Levels of the pro-inflammatory cytokines IL-6, IP-10 and IL-8, the anti-inflammatory cytokine IL-10 and the antiviral cytokines IFN-α, IFN-β and IFN-λ1 were increased with disease severity. Remarkably, we found significantly lower levels of IFN-λ2,3 in critically ill patients compared to patients of the moderate and severe disease category. Finally, levels of IL-8, IL-6, IP-10, IL-10, IFN-α, IFN-β, IFN-γ and IFN-λ1 at baseline were positively associated with mortality, whereas higher IFN-λ2,3 levels were negatively associated with mortality.
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Affiliation(s)
- Pieter Ruytinx
- Department of Immunology and Infection, UHasselt, Biomedical Research Institute, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Patrick Vandormael
- Department of Immunology and Infection, UHasselt, Biomedical Research Institute, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Judith Fraussen
- Department of Immunology and Infection, UHasselt, Biomedical Research Institute, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Zoë Pieters
- Data Science Institute, UHasselt, I-BioStat, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Stef Thonissen
- Faculty of Medicine and Life Sciences, UHasselt, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Niels Hellings
- Department of Immunology and Infection, UHasselt, Biomedical Research Institute, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Piet Stinissen
- Department of Immunology and Infection, UHasselt, Biomedical Research Institute, Martelarenlaan 42, 3500, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, UHasselt, LCRC, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Ina Callebaut
- Faculty of Medicine and Life Sciences, UHasselt, LCRC, Martelarenlaan 42, 3500, Hasselt, Belgium
- Department of Intensive Care and Anesthesiology, Jessa Hospital, Hasselt, Belgium
| | - Joris Penders
- Faculty of Medicine and Life Sciences, UHasselt, LCRC, Martelarenlaan 42, 3500, Hasselt, Belgium
- Department of Laboratory Medicine, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Karolien Vanhove
- Faculty of Medicine and Life Sciences, UHasselt, LCRC, Martelarenlaan 42, 3500, Hasselt, Belgium
- Department of Respiratory Medicine, AZ Vesalius Hospital, Hazelereik 51, 3700, Tongeren, Belgium
| | - Davy Kieffer
- Department of Clinical Biology, Sint-Trudo Hospital, Diestersteenweg 100, 3800, Sint-Truiden, Belgium
| | - Jean-Luc Rummens
- Faculty of Medicine and Life Sciences, UHasselt, Martelarenlaan 42, 3500, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, UHasselt, LCRC, Martelarenlaan 42, 3500, Hasselt, Belgium
- Department of Laboratory Medicine, Jessa Hospital, 3500, Hasselt, Belgium
- UHasselt, University Biobank Limburg (UBiLim), Jessa Hospital, 3500, Hasselt, Belgium
| | - Tom Valkenborgh
- Department of Anesthesiology and Intensive Care, Noorderhart Pelt, Belgium
| | - Peter Messiaen
- Faculty of Medicine and Life Sciences, UHasselt, LCRC, Martelarenlaan 42, 3500, Hasselt, Belgium
- Department of Infectious Diseases and Immunity, Jessa Hospital, 3500, Hasselt, Belgium
| | - Björn Stessel
- Faculty of Medicine and Life Sciences, UHasselt, LCRC, Martelarenlaan 42, 3500, Hasselt, Belgium
- Department of Intensive Care and Anesthesiology, Jessa Hospital, Hasselt, Belgium
| | - Dieter Mesotten
- Faculty of Medicine and Life Sciences, UHasselt, LCRC, Martelarenlaan 42, 3500, Hasselt, Belgium
- Department of Anesthesiology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Veerle Somers
- Department of Immunology and Infection, UHasselt, Biomedical Research Institute, Martelarenlaan 42, 3500, Hasselt, Belgium.
- Faculty of Medicine and Life Sciences, UHasselt, Martelarenlaan 42, 3500, Hasselt, Belgium.
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Bettio V, Mazzucco E, Aleni C, Cracas S, Rinaldi C, Antona A, Varalda M, Venetucci J, Ferrante D, Rimedio A, Capello D. UPO Biobank: The Challenge of Integrating Biobanking into the Academic Environment to Support Translational Research. J Pers Med 2023; 13:911. [PMID: 37373900 DOI: 10.3390/jpm13060911] [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: 04/05/2023] [Revised: 05/18/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
Biobanks are driving motors of precision and personalized medicine by providing high-quality biological material/data through the standardization and harmonization of their collection, preservation, and distribution. UPO Biobank was established in 2020 as an institutional, disease, and population biobank within the University of Piemonte Orientale (UPO) for the promotion and support of high-quality, multidisciplinary studies. UPO Biobank collaborates with UPO researchers, sustaining academic translational research, and supports the Novara Cohort Study, a longitudinal cohort study involving the population in the Novara area that will collect data and biological specimens that will be available for epidemiological, public health, and biological studies on aging. UPO Biobank has been developed by implementing the quality standards for the field and the ethical and legal issues and normative about privacy protection, data collection, and sharing. As a member of the "Biobanking and Biomolecular Resources Research Infrastructure" (BBMRI) network, UPO Biobank aims to expand its activity worldwide and launch cooperation with new national and international partners and researchers. The objective of this manuscript is to report an institutional and operational experience through the description of the technical and procedural solutions and ethical and scientific implications associated with the establishment of this university research biobank.
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Affiliation(s)
- Valentina Bettio
- UPO Biobank, University of Piemonte Orientale, 28100 Novara, Italy
- Department of Translational Medicine, Center of Excellence in Aging Sciences, University of Piemonte Orientale, 28100 Novara, Italy
| | - Eleonora Mazzucco
- UPO Biobank, University of Piemonte Orientale, 28100 Novara, Italy
- Department of Translational Medicine, Center of Excellence in Aging Sciences, University of Piemonte Orientale, 28100 Novara, Italy
| | - Chiara Aleni
- Department of Sustainable Development and Ecological Transition, University of Piemonte Orientale, 13100 Vercelli, Italy
| | - Silvia Cracas
- Department of Translational Medicine, Center of Excellence in Aging Sciences, University of Piemonte Orientale, 28100 Novara, Italy
| | - Carmela Rinaldi
- Department of Translational Medicine, Center of Excellence in Aging Sciences, University of Piemonte Orientale, 28100 Novara, Italy
- Learning and Research Area, A.O.U. Maggiore della Carità, 28100 Novara, Italy
| | - Annamaria Antona
- Department of Translational Medicine, Center of Excellence in Aging Sciences, University of Piemonte Orientale, 28100 Novara, Italy
| | - Marco Varalda
- Department of Translational Medicine, Center of Excellence in Aging Sciences, University of Piemonte Orientale, 28100 Novara, Italy
| | - Jacopo Venetucci
- Department of Translational Medicine, Center of Excellence in Aging Sciences, University of Piemonte Orientale, 28100 Novara, Italy
| | - Daniela Ferrante
- Department of Translational Medicine, Center of Excellence in Aging Sciences, University of Piemonte Orientale, 28100 Novara, Italy
| | - Antonio Rimedio
- Ethics Committee of the University "Hospital Major of Charity" in Novara, Local Health Authorities Biella, 28100 Novara, Italy
| | - Daniela Capello
- UPO Biobank, University of Piemonte Orientale, 28100 Novara, Italy
- Department of Translational Medicine, Center of Excellence in Aging Sciences, University of Piemonte Orientale, 28100 Novara, Italy
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Ruytinx P, Vandormael P, Quaden D, Luyten E, Geusens P, Vanhoof J, Agten A, Vandenabeele F, de Vlam K, Somers V. Antibodies of the immunoglobulin a isotype to novel antigens in early axial spondyloarthritis. Front Med (Lausanne) 2023; 9:1072453. [PMID: 36844956 PMCID: PMC9945964 DOI: 10.3389/fmed.2022.1072453] [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: 10/17/2022] [Accepted: 12/29/2022] [Indexed: 02/11/2023] Open
Abstract
Introduction There is an unmet need for biomarkers to identify patients with axial spondyloarthritis (axSpA). Increasing evidence suggest the presence of autoantibodies in a subset of axSpA patients. The aim of this study was to identify novel IgA antibodies in early axSpA patients and to determine their diagnostic potential in combination with previously determined IgG antibodies against UH (Hasselt University)-axSpA-IgG antigens. Methods An axSpA cDNA phage display library constructed from axSpA hip synovium, was used to screen for novel IgA antibodies in plasma from early axSpA patients. The presence of these antibodies against novel UH-axSpA-IgA antigens was determined in two independent axSpA cohorts, in healthy controls and in patients with chronic low back pain. Results We identified antibodies to 7 novel UH-axSpA-IgA antigens, of which 6 correspond to non-physiological peptides and 1 to the human histone deacetylase 3 (HDAC3) protein. IgA antibodies against 2 of these 7 novel UH-axSpA-IgA antigens and IgG antibodies against 2 of the previously identified antigens were significantly more present in early axSpA patients from the UH cohort (18/70, 25.7%) and the (Bio)SPAR cohort (26/164, 15.9%), compared to controls with chronic low back pain (2/66, 3%). Antibodies to this panel of 4 antigens were present in 21.1% (30/142) of patients with early axSpA from the UH and (Bio)SPAR cohorts. The positive likelihood ratio for confirming early axSpA using antibodies to these 4 UH-axSpA antigens was 7.0. So far, no clinical correlation between the novel identified IgA antibodies and inflammatory bowel disease could be identified. Discussion In conclusion, screening an axSpA cDNA phage display library for IgA reactivity resulted in the identification of 7 novel UH-axSpA-IgA antigens, of which 2 show promising biomarker potential for the diagnosis of a subset of axSpA patients, in combination with previously identified UH-axSpA-IgG antigens.
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Affiliation(s)
- Pieter Ruytinx
- UHasselt, Department of Immunology and Infection, Biomedical Research Institute, Diepenbeek, Belgium
| | - Patrick Vandormael
- UHasselt, Department of Immunology and Infection, Biomedical Research Institute, Diepenbeek, Belgium
| | - Dana Quaden
- UHasselt, Department of Immunology and Infection, Biomedical Research Institute, Diepenbeek, Belgium
| | - Elien Luyten
- UHasselt, Department of Immunology and Infection, Biomedical Research Institute, Diepenbeek, Belgium
| | - Piet Geusens
- ReumaClinic, Genk, Belgium,Maastricht University Medical Center, Maastricht, Netherlands
| | | | - Anouk Agten
- UHasselt, Faculty of Rehabilitation Sciences, REVAL-Rehabilitation Research Center, Diepenbeek, Belgium
| | - Frank Vandenabeele
- UHasselt, Faculty of Rehabilitation Sciences, REVAL-Rehabilitation Research Center, Diepenbeek, Belgium
| | - Kurt de Vlam
- Department of Rheumatology, University Hospitals Leuven, Leuven, Belgium,Department of Development and Regeneration, Skeletal Biology and Engineering Research Center (SBE), Katholieke Universiteit Leuven, Leuven, Belgium
| | - Veerle Somers
- UHasselt, Department of Immunology and Infection, Biomedical Research Institute, Diepenbeek, Belgium,*Correspondence: Veerle Somers,
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7
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Mazón-Cabrera R, Liesenborgs J, Brône B, Vandormael P, Somers V. Novel maternal autoantibodies in autism spectrum disorder: Implications for screening and diagnosis. Front Neurosci 2023; 17:1067833. [PMID: 36816132 PMCID: PMC9932693 DOI: 10.3389/fnins.2023.1067833] [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: 10/12/2022] [Accepted: 01/09/2023] [Indexed: 02/05/2023] Open
Abstract
Introduction Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder for which early recognition is a major challenge. Autoantibodies against fetal brain antigens have been found in the blood of mothers of children with ASD (m-ASD) and can be transferred to the fetus where they can impact neurodevelopment by binding to fetal brain proteins. This study aims to identify novel maternal autoantibodies reactive against human fetal brain antigens, and explore their use as biomarkers for ASD screening and diagnosis. Methods A custom-made human fetal brain cDNA phage display library was constructed, and screened for antibody reactivity in m-ASD samples from the Simons Simplex Collection (SSC) of the Simons Foundation Autism Research Initiative (SFARI). Antibody reactivity against 6 identified antigens was determined in plasma samples of 238 m-ASD and 90 mothers with typically developing children (m-TD). Results We identified antibodies to 6 novel University Hasselt (UH)-ASD antigens, including three novel m-ASD autoantigens, i.e., ribosomal protein L23 (RPL23), glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and calmodulin-regulated spectrin-associated protein 3 (CAMSAP3). Antibody reactivity against a panel of four of these targets was found in 16% of m-ASD samples, compared to 4% in m-TD samples (p = 0.0049). Discussion Maternal antibodies against 4 UH-ASD antigens could therefore provide a novel tool to support the diagnosis of ASD in a subset of individuals.
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Affiliation(s)
- Rut Mazón-Cabrera
- Department of Immunology and Infection, Biomedical Research Institute, UHasselt, Transnational University Limburg, Diepenbeek, Belgium
| | - Jori Liesenborgs
- Expertise Centre for Digital Media, UHasselt, Transnational University Limburg, Diepenbeek, Belgium
| | - Bert Brône
- Department of Neurosciences, Biomedical Research Institute, UHasselt, Transnational University Limburg, Diepenbeek, Belgium
| | - Patrick Vandormael
- Department of Immunology and Infection, Biomedical Research Institute, UHasselt, Transnational University Limburg, Diepenbeek, Belgium
| | - Veerle Somers
- Department of Immunology and Infection, Biomedical Research Institute, UHasselt, Transnational University Limburg, Diepenbeek, Belgium,*Correspondence: Veerle Somers,
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8
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D'Onofrio V, Heylen D, Pusparum M, Grondman I, Vanwalleghem J, Meersman A, Cartuyvels R, Messiaen P, Joosten LAB, Netea MG, Valkenborg D, Ertaylan G, Gyssens IC. A prospective observational cohort study to identify inflammatory biomarkers for the diagnosis and prognosis of patients with sepsis. J Intensive Care 2022; 10:13. [PMID: 35264246 PMCID: PMC8905560 DOI: 10.1186/s40560-022-00602-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 02/21/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Sepsis is a life-threatening organ dysfunction. A fast diagnosis is crucial for patient management. Proteins that are synthesized during the inflammatory response can be used as biomarkers, helping in a rapid clinical assessment or an early diagnosis of infection. The aim of this study was to identify biomarkers of inflammation for the diagnosis and prognosis of infection in patients with suspected sepsis. METHODS In total 406 episodes were included in a prospective cohort study. Plasma was collected from all patients with suspected sepsis, for whom blood cultures were drawn, in the emergency department (ED), the department of infectious diseases, or the haemodialysis unit on the first day of a new episode. Samples were analysed using a 92-plex proteomic panel based on a proximity extension assay with oligonucleotide-labelled antibody probe pairs (OLink, Uppsala, Sweden). Supervised and unsupervised differential expression analyses and pathway enrichment analyses were performed to search for inflammatory proteins that were different between patients with viral or bacterial sepsis and between patients with worse or less severe outcome. RESULTS Supervised differential expression analysis revealed 21 proteins that were significantly lower in circulation of patients with viral infections compared to patients with bacterial infections. More strongly, higher expression levels were observed for 38 proteins in patients with high SOFA scores (> 4), and for 21 proteins in patients with worse outcome. These proteins are mostly involved in pathways known to be activated early in the inflammatory response. Unsupervised, hierarchical clustering confirmed that inflammatory response was more strongly related to disease severity than to aetiology. CONCLUSION Several differentially expressed inflammatory proteins were identified that could be used as biomarkers for sepsis. These proteins are mostly related to disease severity. Within the setting of an emergency department, they could be used for outcome prediction, patient monitoring, and directing diagnostics. TRAIL REGISTRATION NUMBER clinicaltrial.gov identifier NCT03841162.
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Affiliation(s)
- Valentino D'Onofrio
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.
- Department of Infectious Diseases and Immunity, Jessa Hospital, Hasselt, Belgium.
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
| | - Dries Heylen
- Unit Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Murih Pusparum
- Unit Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Inge Grondman
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | | | | | | | - Peter Messiaen
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
- Department of Infectious Diseases and Immunity, Jessa Hospital, Hasselt, Belgium
| | - Leo A B Joosten
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Mihai G Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
- Human Genomics Laboratory, Craiova University of Medicine and Pharmacy, Craiova, Romania
| | - Dirk Valkenborg
- Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Gökhan Ertaylan
- Unit Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Inge C Gyssens
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
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9
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Oben B, Cosemans C, Geerdens E, Linsen L, Vanhees K, Maes B, Theunissen K, Cruys B, Lionetti M, Arijs I, Bolli N, Froyen G, Rummens JL. The Dynamics of Nucleotide Variants in the Progression from Low-Intermediate Myeloma Precursor Conditions to Multiple Myeloma: Studying Serial Samples with a Targeted Sequencing Approach. Cancers (Basel) 2022; 14:cancers14041035. [PMID: 35205782 PMCID: PMC8870380 DOI: 10.3390/cancers14041035] [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: 12/20/2021] [Revised: 01/28/2022] [Accepted: 02/16/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Multiple myeloma (MM), characterized by the expansion of plasma cells in the bone marrow, is the second most common hematological malignancy. This incurable cancer is consistently preceded by non-malignant asymptomatic precursor conditions known as monoclonal gammopathy of undetermined significance (MGUS) and/or smoldering multiple myeloma (SMM). These pre-stages are relatively frequent, but only a select percentage of them will progress to MM. However, it is still not possible to individually predict when and which patients will develop MM. Therefore, this study aimed to investigate the mutational profile in the progression in serial bone marrow samples with a custom targeted sequencing panel, designed to detect variants in myeloma-related genes. Remarkably, almost all variants identified in the MM samples were also already present in the pre-stages, sometimes even many years before the progression. These results provide new important insights into the molecular mechanisms of the precursor conditions and progression to MM. Abstract Multiple myeloma (MM), or Kahler’s disease, is an incurable plasma cell (PC) cancer in the bone marrow (BM). This malignancy is preceded by one or more asymptomatic precursor conditions, monoclonal gammopathy of undetermined significance (MGUS) and/or smoldering multiple myeloma (SMM). The molecular mechanisms and exact cause of this progression are still not completely understood. In this study, the mutational profile underlying the progression from low–intermediate risk myeloma precursor conditions to MM was studied in serial BM smears. A custom capture-based sequencing platform was developed, including 81 myeloma-related genes. The clonal evolution of single nucleotide variants and short insertions and deletions was studied in serial BM smears from 21 progressed precursor patients with a median time of progression of six years. From the 21 patients, four patients had no variation in one of the 81 studied genes. Interestingly, in 16 of the 17 other patients, at least one variant present in MM was also detected in its precursor BM, even years before progression. Here, the variants were present in the pre-stage at a median of 62 months before progression to MM. Studying these paired BM samples contributes to the knowledge of the evolutionary genetic landscape and provides additional insight into the mutational behavior of mutant clones over time throughout progression.
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Affiliation(s)
- Bénedith Oben
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Correspondence:
| | - Charlotte Cosemans
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Centre for Environmental Sciences, Hasselt University, 3590 Diepenbeek, Belgium
| | - Ellen Geerdens
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Loes Linsen
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Activity Center Biobanking, University Hospitals Leuven, 3000 Leuven, Belgium
- University Biobank Limburg (UBiLim), Clinical Biobank, Jessa Hospital, 3500 Hasselt, Belgium
| | - Kimberly Vanhees
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- University Biobank Limburg (UBiLim), Clinical Biobank, Jessa Hospital, 3500 Hasselt, Belgium
| | - Brigitte Maes
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Koen Theunissen
- Department Hematology, Jessa Hospital, 3500 Hasselt, Belgium;
| | - Bert Cruys
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Marta Lionetti
- Department Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (M.L.); (N.B.)
| | - Ingrid Arijs
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Laboratory for Translational Genetics, Department Human Genetics, University of Leuven, 3000 Leuven, Belgium
- Belgian Inflammatory Bowel Disease Research and Development (BIRD), 1930 Zaventem, Belgium
| | - Niccolò Bolli
- Department Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (M.L.); (N.B.)
- Unità Operativa Complessa di Ematologia, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Guy Froyen
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- Laboratory Molecular Diagnostics, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (E.G.); (B.M.); (B.C.)
| | - Jean-Luc Rummens
- Laboratory Experimental Hematology, Department Clinical Biology, Jessa Hospital, 3500 Hasselt, Belgium; (C.C.); (L.L.); (J.-L.R.)
- Faculty of Medicine and Life Sciences, Hasselt University, 3500 Hasselt, Belgium; (K.V.); (I.A.); (G.F.)
- University Biobank Limburg (UBiLim), Clinical Biobank, Jessa Hospital, 3500 Hasselt, Belgium
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The Dutch National TissueArchive Portal enables efficient, consistent, and transparent procurement of diagnostic tissue samples for scientific use. Cell Tissue Bank 2021; 22:727-736. [PMID: 34432159 PMCID: PMC8558151 DOI: 10.1007/s10561-021-09949-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 07/25/2021] [Indexed: 11/30/2022]
Abstract
Biobanks play a crucial role in enabling biomedical research by facilitating scientific use of valuable human biomaterials. The PALGA foundation—a nationwide network and registry of histo- and cytopathology in the Netherlands—was established to promote the provision of data within and between pathology departments, and to make the resulting knowledge available for healthcare. Apart from the pathology data, we aimed to utilize PALGA’s nationwide network to find and access the rich wealth of Formalin-Fixed Paraffin-Embedded (FFPE) tissue samples for scientific use.
We implemented the Dutch National TissueArchive Portal (DNTP) to utilize PALGA’s nationwide network for requesting FFPE tissue samples. The DNTP consists of (1) a centrally organized internet portal to improve the assessing, processing, harmonization, and monitoring of the procurement process, while (2) dedicated HUB-employees provide practical support at peripheral pathology departments. Since incorporation of the DNTP, both the number of filed requests for FFPE tissue samples and the amount of HUB-mediated support increased 55 and 29% respectively. In line, the sample procurement duration time decreased significantly (− 47%). These findings indicate that implementation of the DNTP improved the frequency, efficiency, and transparency of FFPE tissue sample procurement for research in the Netherlands. To conclude, the need for biological resources is growing persistently to enable precision medicine. Here, we access PALGA’s national, pathology network by implementation of the DNTP to allow for efficient, consistent, and transparent exchange of FFPE tissue samples for research across the Netherlands.
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De Brandt J, Burtin C, Pomiès P, Vandenabeele F, Verboven K, Aumann J, Blancquaert L, Everaert I, Van Ryckeghem L, Cops J, Hayot M, Spruit MA, Derave W. Carnosine, oxidative and carbonyl stress, antioxidants and muscle fiber characteristics of quadriceps muscle of patients with COPD. J Appl Physiol (1985) 2021; 131:1230-1240. [PMID: 34323590 DOI: 10.1152/japplphysiol.00200.2021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Oxidative/carbonyl stress is elevated in lower-limb muscles of patients with Chronic Obstructive Pulmonary Disease (COPD). Carnosine is a skeletal muscle antioxidant particularly present in fast-twitch fibers. AIMS To compare muscle carnosine, oxidative/carbonyl stress, antioxidants and fiber characteristics between patients with COPD and healthy controls (HCs), and between patients after stratification for airflow limitation (mild/moderate vs. severe/very-severe). To investigate correlates of carnosine in patients with COPD. METHODS A vastus lateralis muscle biopsy was obtained from 40 patients with stable COPD and 20 age/sex matched HCs. Carnosine, oxidative/carbonyl stress, antioxidants, fiber characteristics, quadriceps strength and endurance (QE), VO2peak (incremental cycle test) and physical activity (PA) were determined. RESULTS Patients with COPD had a similar carnosine concentration (4.16 mmol/kg wet weight (WW) (SD 1.93)) to HCs (4.64 mmol/kgWW (SD 1.71)) and significantly higher percentage of fast-twitch fibers and lower QE, VO2peak and PA vs. HCs. Patients with severe/very-severe COPD had a 30% lower carnosine concentration (3.24 mmol/kgWW (SD 1.79); n=15) vs. patients with mild/moderate COPD (4.71 mmol/kgWW (SD 1.83); n=25; P=0.02) and significantly lower VO2peak and PA vs. patients with mild/moderate COPD. Carnosine correlated significantly with QE (rs=0.427), VO2peak (rs=0.334), PA (rs=0.379) and lung function parameters in patients with COPD. CONCLUSION Despite having the highest proportion of fast-twitch fibers, patients with severe/very-severe COPD displayed a 30% lower muscle carnosine concentration compared to patients with mild/moderate COPD. As no oxidative/carbonyl stress markers, nor antioxidants were affected, the observed carnosine deficiency is thought to be a possible first sign of muscle redox balance abnormalities.
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Affiliation(s)
- Jana De Brandt
- Hasselt University, Faculty of Rehabilitation Sciences, REVAL - Rehabilitation Research Center, Diepenbeek, Belgium.,Hasselt University, BIOMED - Biomedical Research Institute, Diepenbeek, Belgium
| | - Chris Burtin
- Hasselt University, Faculty of Rehabilitation Sciences, REVAL - Rehabilitation Research Center, Diepenbeek, Belgium.,Hasselt University, BIOMED - Biomedical Research Institute, Diepenbeek, Belgium
| | - Pascal Pomiès
- PhyMedExp, University of Montpellier - INSERM - CNRS - CHRU Montpellier, Montpellier, France
| | - Frank Vandenabeele
- Hasselt University, Faculty of Rehabilitation Sciences, REVAL - Rehabilitation Research Center, Diepenbeek, Belgium
| | - Kenneth Verboven
- Hasselt University, Faculty of Rehabilitation Sciences, REVAL - Rehabilitation Research Center, Diepenbeek, Belgium.,Hasselt University, BIOMED - Biomedical Research Institute, Diepenbeek, Belgium
| | - Joseph Aumann
- Department of Respiratory Medicine, Jessa Hospital, Hasselt, Belgium
| | - Laura Blancquaert
- Ghent University, Department of Movement and Sports Sciences, Ghent, Belgium
| | - Inge Everaert
- Ghent University, Department of Movement and Sports Sciences, Ghent, Belgium
| | - Lisa Van Ryckeghem
- Hasselt University, Faculty of Rehabilitation Sciences, REVAL - Rehabilitation Research Center, Diepenbeek, Belgium.,Hasselt University, BIOMED - Biomedical Research Institute, Diepenbeek, Belgium
| | - Jirka Cops
- Hasselt University, Faculty of Rehabilitation Sciences, REVAL - Rehabilitation Research Center, Diepenbeek, Belgium.,Hasselt University, BIOMED - Biomedical Research Institute, Diepenbeek, Belgium
| | - Maurice Hayot
- PhyMedExp, University of Montpellier - INSERM - CNRS - CHRU Montpellier, Montpellier, France
| | - Martijn A Spruit
- CIRO, Department of Research and Development, Horn, The Netherlands.,Maastricht University Medical Centre, Department of Respiratory Medicine, Faculty of Health, Medicine and Life Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht, The Netherlands
| | - Wim Derave
- Ghent University, Department of Movement and Sports Sciences, Ghent, Belgium
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12
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Whole-genome sequencing reveals progressive versus stable myeloma precursor conditions as two distinct entities. Nat Commun 2021; 12:1861. [PMID: 33767199 PMCID: PMC7994386 DOI: 10.1038/s41467-021-22140-0] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 02/23/2021] [Indexed: 12/22/2022] Open
Abstract
Multiple myeloma (MM) is consistently preceded by precursor conditions recognized clinically as monoclonal gammopathy of undetermined significance (MGUS) or smoldering myeloma (SMM). We interrogate the whole genome sequence (WGS) profile of 18 MGUS and compare them with those from 14 SMMs and 80 MMs. We show that cases with a non-progressing, clinically stable myeloma precursor condition (n = 15) are characterized by later initiation in the patient's life and by the absence of myeloma defining genomic events including: chromothripsis, templated insertions, mutations in driver genes, aneuploidy, and canonical APOBEC mutational activity. This data provides evidence that WGS can be used to recognize two biologically and clinically distinct myeloma precursor entities that are either progressive or stable.
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13
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Schleif WS, Goldenberg NA, Catchpoole DR. The "Federated Pediatric BioCloud" Model: State of the Art and Future Prospects in Pediatric Biospecimen Science. J Pediatr 2020; 221S:S43-S48. [PMID: 32482234 DOI: 10.1016/j.jpeds.2020.02.068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 02/01/2020] [Accepted: 02/21/2020] [Indexed: 02/06/2023]
Affiliation(s)
- William S Schleif
- Program in Pediatric Biospecimen Science, Johns Hopkins All Children's Institute for Clinical and Translational Research, St. Petersburg, FL; Johns Hopkins All Children's Pediatric Biorepository, Johns Hopkins All Children's Hospital, St. Petersburg, FL.
| | - Neil A Goldenberg
- Program in Pediatric Biospecimen Science, Johns Hopkins All Children's Institute for Clinical and Translational Research, St. Petersburg, FL; Divisions of Hematology, Departments of Pediatrics and Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Daniel R Catchpoole
- The Tumour Bank, Children's Cancer Research Unit, Kids Research, The Children's Hospital at Westmead, Westmead, New South Wales, Australia; The Faculty of Engineering and Information Technology, The University of Technology Sydney, Ultimo, New South Wales, Australia
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