Machine learning identifies a common signature for anti‐SSA/Ro60 antibody expression across autoimmune diseases - Lymphocyte B et Auto-immunité, UMR 1227
Journal Articles Arthritis & rheumatology Year : 2022

Machine learning identifies a common signature for anti‐SSA/Ro60 antibody expression across autoimmune diseases

Machine learning identifies a common signature for anti-SSA/Ro60 antibody expression across autoimmune diseases.

Nathan Foulquier (1) , Christelle Le Dantec (1) , Eleonore Bettacchioli (1) , Christophe Jamin (1, 2) , Marta Alarcón-Riquelme (3) , Jacques-Olivier Pers (1) , Lorenzo Beretta , Barbara Vigone , Alain Saraux (1, 4) , Valérie Devauchelle‐pensec (1, 4) , Divi Cornec (1, 4) , Sandrine Jousse‐joulin (1, 4) , Bernard Lauwerys , Julie Ducreux , Anne‐lise Maudoux , Carlos Vasconcelos , Ana Tavares , Esmeralda Neves , Raquel Faria , Mariana Brandão , Ana Campar , António Marinho , Fátima Farinha , Isabel Almeida , Miguel Ángel González‐gay , Ricardo Blanco Alonso , Alfonso Corrales Martínez , Ricard Cervera , Ignasi Rodríguez‐pintó , Gerard Espinosa , Rik Lories , Ellen de Langhe , Nicolas Hunzelmann , Doreen Belz , Torsten Witte , Niklas Baerlecken , Georg Stummvoll , Michael Zauner , Michaela Lehner , Eduardo Collantes , Rafaela Ortega‐castro , Mª Angeles Aguirre‐zamorano , Alejandro Escudero‐contreras , Mª Carmen Castro‐villegas , Yolanda Jiménez Gómez , Norberto Ortego , María Concepción Fernández Roldán , Enrique Raya , Inmaculada Jiménez Moleón , Enrique de Ramon , Isabel Díaz Quintero , Pier Luigi Meroni , Maria Gerosa , Tommaso Schioppo , Carolina Artusi , Carlo Chizzolini , Aleksandra Dufour , Donatienne Wynar , Laszló Kovács , Attila Balog , Magdolna Deák , Márta Bocskai , Sonja Dulic , Gabriella Kádár , Falk Hiepe , Velia Gerl , Silvia Thiel , Manuel Rodriguez Maresca , Antonio López‐berrio , Rocío Aguilar‐quesada , Héctor Navarro‐linares , Yiannis Ioannou , Chris Chamberlain , Jacqueline Marovac , Marta Alarcón Riquelme , Tania Gomes Anjos , Concepción Marañón , Lucas Le Lann , Quentin Simon , Bénédicte Rouvière , Nieves Varela , Brian Muchmore , Montserrat Alvarez , Jonathan Cremer , Nuria Barbarroja , Chary Lopez‐pedrera , Laleh Khodadadi , Qingyu Cheng , Anne Buttgereit , Zuzanna Makowska , Aurélie de Groof , Elena Trombetta , Tianlu Li , Damiana Alvarez‐errico , Katja Kniesch , Nancy Azevedo , Maria Hernandez‐fuentes , Pierre‐emmanuel Jouve , Jacques‐olivier Pers (1, 5)
Lorenzo Beretta
  • Function : Author
Barbara Vigone
  • Function : Author
Bernard Lauwerys
  • Function : Author
Julie Ducreux
  • Function : Author
Anne‐lise Maudoux
  • Function : Author
Carlos Vasconcelos
  • Function : Author
Ana Tavares
  • Function : Author
Esmeralda Neves
  • Function : Author
Raquel Faria
  • Function : Author
Mariana Brandão
  • Function : Author
Ana Campar
  • Function : Author
António Marinho
  • Function : Author
Fátima Farinha
  • Function : Author
Isabel Almeida
  • Function : Author
Miguel Ángel González‐gay
  • Function : Author
Ricardo Blanco Alonso
  • Function : Author
Alfonso Corrales Martínez
  • Function : Author
Ricard Cervera
  • Function : Author
Ignasi Rodríguez‐pintó
  • Function : Author
Gerard Espinosa
  • Function : Author
Rik Lories
  • Function : Author
Ellen de Langhe
  • Function : Author
Nicolas Hunzelmann
  • Function : Author
Doreen Belz
  • Function : Author
Torsten Witte
  • Function : Author
Niklas Baerlecken
  • Function : Author
Georg Stummvoll
  • Function : Author
Michael Zauner
  • Function : Author
Michaela Lehner
  • Function : Author
Eduardo Collantes
  • Function : Author
Rafaela Ortega‐castro
  • Function : Author
Mª Angeles Aguirre‐zamorano
  • Function : Author
Alejandro Escudero‐contreras
  • Function : Author
Mª Carmen Castro‐villegas
  • Function : Author
Yolanda Jiménez Gómez
  • Function : Author
Norberto Ortego
  • Function : Author
Enrique Raya
  • Function : Author
Inmaculada Jiménez Moleón
  • Function : Author
Enrique de Ramon
  • Function : Author
Isabel Díaz Quintero
  • Function : Author
Pier Luigi Meroni
  • Function : Author
Maria Gerosa
  • Function : Author
Tommaso Schioppo
  • Function : Author
Carolina Artusi
  • Function : Author
Carlo Chizzolini
Aleksandra Dufour
  • Function : Author
Donatienne Wynar
  • Function : Author
Laszló Kovács
  • Function : Author
Attila Balog
  • Function : Author
Magdolna Deák
  • Function : Author
Márta Bocskai
  • Function : Author
Sonja Dulic
  • Function : Author
Gabriella Kádár
  • Function : Author
Falk Hiepe
  • Function : Author
Velia Gerl
  • Function : Author
Silvia Thiel
  • Function : Author
Manuel Rodriguez Maresca
  • Function : Author
Antonio López‐berrio
  • Function : Author
Rocío Aguilar‐quesada
  • Function : Author
Héctor Navarro‐linares
  • Function : Author
Yiannis Ioannou
  • Function : Author
Chris Chamberlain
  • Function : Author
Jacqueline Marovac
  • Function : Author
Marta Alarcón Riquelme
  • Function : Author
Tania Gomes Anjos
  • Function : Author
Concepción Marañón
  • Function : Author
Lucas Le Lann
  • Function : Author
Quentin Simon
  • Function : Author
Bénédicte Rouvière
  • Function : Author
Nieves Varela
  • Function : Author
Brian Muchmore
  • Function : Author
Montserrat Alvarez
  • Function : Author
Jonathan Cremer
  • Function : Author
Nuria Barbarroja
  • Function : Author
Chary Lopez‐pedrera
  • Function : Author
Laleh Khodadadi
  • Function : Author
Qingyu Cheng
  • Function : Author
Anne Buttgereit
  • Function : Author
Zuzanna Makowska
  • Function : Author
Aurélie de Groof
  • Function : Author
Elena Trombetta
  • Function : Author
Tianlu Li
  • Function : Author
Damiana Alvarez‐errico
  • Function : Author
Katja Kniesch
  • Function : Author
Nancy Azevedo
  • Function : Author
Maria Hernandez‐fuentes
  • Function : Author
Pierre‐emmanuel Jouve
  • Function : Author

Abstract

Anti-Ro autoantibodies are among the most frequently detected extractable nuclear antigen autoantibodies, mainly associated with primary Sjögren's syndrome (pSS), systemic lupus erythematosus (SLE) and undifferentiated connective tissue disease (UCTD). Is there a common signature to all patients expressing anti-Ro60 autoantibodies regardless of their disease phenotype?

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Immunology
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hal-03684959 , version 1 (10-10-2024)

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Nathan Foulquier, Christelle Le Dantec, Eleonore Bettacchioli, Christophe Jamin, Marta Alarcón-Riquelme, et al.. Machine learning identifies a common signature for anti‐SSA/Ro60 antibody expression across autoimmune diseases. Arthritis & rheumatology, 2022, ⟨10.1002/art.42243⟩. ⟨hal-03684959⟩
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