Soret, PerrineLe-Dantec, ChristelleDesvaux, EmikoFoulquier, NathanChassagnol, BastienHubert, SandraJamin, ChristopheBarturen, GuillermoDesachy, GuillaumeDevauchelle-Pensec, ValerieBoudjeniba, CheïmaCornec, DiviSaraux, AlainJousse-Joulin, SandrineBarbarroja, NuriaRodriguez-Pinto, IgnasiDe Langhe, EllenBeretta, LorenzoChizzolini, CarloKovacs, LaszloWitte, TorstenBettacchioli, EleonoreButtgereit, AnneMakowska, ZuzannaLesche, RalfBorghi, Maria OriettaMartin, JavierCourtade-Gaiani, SophieXuereb, LauraGuedj, MickaëlMoingeon, PhilippeAlarcon-Riquelme, Marta ELaigle, LaurencePers, Jacques-Olivier2023-02-092023-02-092021-06-10Soret P, Le Dantec C, Desvaux E, Foulquier N, Chassagnol B, Hubert S, et al. A new molecular classification to drive precision treatment strategies in primary Sjögren's syndrome. Nat Commun. 2021 Jun 10;12(1):3523http://hdl.handle.net/10668/17985There 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.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/AutoantibodiesBiomarkersChemokinesCohort studiesComputational diologyComputer simulationAdultCytokinesDNA methylationDatabases, geneticDatabases, proteinFemaleFlow cytometryGenome-wide association studyHumansInflammationInterferonsMaleMiddle agedMultigene familyPolymorphism, single nucleotideProteomeRNA-seqSjogren's syndromeTranscriptomeresearch article34112769open accessBases de datos genéticasBases de datos de proteínasCitocinasCitometría de flujoEstudio de asociación del genoma completoFamilia de multigenesInflamaciónInterferonesMetilación de ADNPolimorfismo de nucleótido simpleSíndrome de Sjögren10.1038/s41467-021-23472-72041-1723PMC8192578https://www.nature.com/articles/s41467-021-23472-7.pdfhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192578/pdf