1. A new molecular classification to drive precision treatment strategies in primary Sjögren’s syndrome
- Author
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Soret, Perrine, Le Dantec, Christelle, Desvaux, Emiko, Foulquier, Nathan, Chassagnol, Bastien, Hubert, Sandra, Christophe, Jamin, Barturen, Guillermo, Desachy, Guillaume, Devauchelle-Pensec, Valérie, Boudjeniba, Cheïma, Cornec, Divi, Saraux, Alain, Jousse-Joulin, Sandrine, Barbarroja, Nuria, Rodríguez-Pintó, Ignasi, de Langhe, Ellen, Beretta, Lorenzo, Chizzolini, Carlo, Kovács, László, Witte, Torsten, Bettacchioli, Eléonore, Buttgereit, Anne, Makowska, Zuzanna, Lesche, Ralf, Borghi, Maria Orietta, Martin, Javier, Courtade-Gaiani, Sophie, Xuereb, Laura, Guedj, Mickaël, Moingeon, Philippe, Alarcón-Riquelme, Marta, Laigle, Laurence, Pers, Jacques-Olivier, Vigone, Barbara, Lauwerys, Bernard, Maudoux, Anne-Lise, Vasconcelos, Carlos, Tavares, Ana, Faria, Raquel, Brandão, Mariana, Campar, Ana, Marinho, António, Farinha, Fátima, Almeida, Isabel, Gonzalez-Gay Mantecón, Miguel Angel, Blanco Alonso, Ricardo, Corrales Martínez, Alfonso, Cervera, Ricard, Espinosa, Gerard, Lories, Rik, Hunzelmann, Nicolas, Belz, Doreen, Baerlecken, Niklas, Stummvoll, Georg, Zauner, Michael, Lehner, Michaela, Collantes, Eduardo, Ortega-Castro, Rafaela, Aguirre-Zamorano, Ma Angeles, Escudero-Contreras, Alejandro, Castro-Villegas, Ma Carmen, Jiménez Gómez, Yolanda, Ortego, Norberto, Fernández Roldán, María Concepción, Raya, Enrique, Jiménez Moleón, Inmaculada, de Ramon, Enrique, Díaz Quintero, Isabel, Meroni, Pier Luigi, Gerosa, Maria, Schioppo, Tommaso, Artusi, Carolina, Zuber, Aleksandra, Wynar, Donatienne, Balog, Attila, Deák, Magdolna, Bocskai, Márta, Dulic, Sonja, Kádár, Gabriella, Hiepe, Falk, Thiel, Silvia, Rodriguez Maresca, Manuel, López-Berrio, Antonio, Aguilar-Quesada, Rocío, Navarro-Linares, Héctor, Ioannou, Yiannis, Chamberlain, Chris, Marovac, Jacqueline, Alarcón Riquelme, Marta, Gomes Anjos, Tania, Marañón, Concepción, Le Lann, Lucas, Simon, Quentin, Rouvière, Bénédicte, Varela, Nieves, Muchmore, Brian, Dufour, Aleksandra, Alvarez, Montserrat, Cremer, Jonathan, Lopez-Pedrera, Chary, Gerl, Velia, Khodadadi, Laleh, Cheng, Qingyu, de Groof, Aurélie, Ducreux, Julie, Trombetta, Elena, Li, Tianlu, Alvarez-Errico, Damiana, Kniesch, Katja, Azevedo, Nancy, Neves, Esmeralda, Rao, Sambasiva, Jouve, Pierre-Emmanuel, Institut de Recherches Internationales Servier [Suresnes] (IRIS), Lymphocytes B, Autoimmunité et Immunothérapies (LBAI), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-LabEX IGO Immunothérapie Grand Ouest, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Centre for Genomics and Oncological Reearch (GENYO), CHRU Brest - Service de Rhumatologie (CHU - BREST - Rhumato), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Instituto Maimonides de Investigación Biomédica de Cordoba (IMIBIC), Universidad de Córdoba = University of Córdoba [Córdoba]-Hospital Universitario Reina Sofía, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Maggiore Hospital, IRCCS Foundation, Milano, Department of Pathology and Immunology [Geneva, Switzerland], Université de Genève = University of Geneva (UNIGE), University of Szeged [Szeged], Clinic for Immunology and Rhematology, Hannover Medical School, Hanover, Germany, Hôpital Morvan - CHRU de Brest (CHU - BREST ), Pharmaceuticals Division Bayer Pharma Aktiengesellschaft, Università degli Studi di Milano = University of Milan (UNIMI), Instituto de Parasitología y Biomedicina 'López-Neyra' (IPBLN), Consejo Superior de Investigaciones Científicas (CSIC), Universidad de Granada = University of Granada (UGR), and Michel, Geneviève
- Subjects
MESH: Databases, Protein ,MESH: Inflammation ,[SDV.IMM] Life Sciences [q-bio]/Immunology ,MESH: Flow Cytometry ,MESH: Cross-Sectional Studies ,MESH: DNA Methylation ,MESH: Computer Simulation ,cell cycle, chronic lymphocytic leukemia, liquid chromatography-tandem mass spectrometry, splicing ,MESH: Autoantibodies ,MESH: Interferons ,MESH: RNA-Seq ,MESH: Cohort Studies ,MESH: Databases, Genetic ,MESH: Cytokines ,MESH: Humans ,MESH: Middle Aged ,MESH: Polymorphism, Single Nucleotide ,MESH: Transcriptome ,MESH: Adult ,MESH: Chemokines ,MESH: Male ,MESH: Proteome ,MESH: Sjogren's Syndrome ,MESH: Genome-Wide Association Study ,MESH: Biomarkers ,MESH: Multigene Family ,[SDV.IMM]Life Sciences [q-bio]/Immunology ,MESH: Female ,MESH: Computational Biology - Abstract
International audience; Abstract There is currently no approved treatment for primary Sjögren’s syndrome, a disease that primarily affects adult women. The difficulty in developing effective therapies is -in part- because of the heterogeneity in the clinical manifestation and pathophysiology of the disease. Finding common molecular signatures among patient subgroups could improve our understanding of disease etiology, and facilitate the development of targeted therapeutics. Here, we report, in a cross-sectional cohort, a molecular classification scheme for Sjögren’s syndrome patients based on the multi-omic profiling of whole blood samples from a European cohort of over 300 patients, and a similar number of age and gender-matched healthy volunteers. Using transcriptomic, genomic, epigenetic, cytokine expression and flow cytometry data, combined with clinical parameters, we identify four groups of patients with distinct patterns of immune dysregulation. The biomarkers we identify can be used by machine learning classifiers to sort future patients into subgroups, allowing the re-evaluation of response to treatments in clinical trials.
- Published
- 2021