Stratification according to autoantibody status in systemic sclerosis reveals distinct molecular signatures

Patients with SSc display varying biological profiles based on their serological status. The findings highlight the potential utility of serological status as a discriminating factor in disease severity and suggest its relevance in tailoring treatment strategies and future research directions.

Authors

Institutions

Publication Details

Journal
Annals of the Rheumatic Diseases
Published
2024-10-22
DOI
https://doi.org/10.1136/ard-2024-225925
Citations
7
Primary Topic
Systemic Sclerosis and Related Diseases
Type
article
Field-Weighted Citation Impact
2.97

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stratification according to autoantibody status in systemic sclerosis reveals distinct molecular signatures

Martin Kerick, Claire de Moreuil, Divi Cornec, Bénédicte Rouvière et al.
7 citations
Annals of the Rheumatic Diseases
Systemic Sclerosis and Related Diseases
2.97
article

Stratification according to autoantibody status in systemic sclerosis reveals distinct molecular signatures

Martin Kerick, Claire de Moreuil, Divi Cornec, Bénédicte Rouvière, Nathan Foulquier, Éléonore Bettacchioli, Sophie Hillion, Marta E. Alarcón‐Riquelme, Christelle Le Dantec, Christophe Jamin, Javier J. Martin, Lorenzo Beretta, Chengjian Cao, Jacques‐Olivier Pers
article en
7 citations

Abstract

Patients with SSc display varying biological profiles based on their serological status. The findings highlight the potential utility of serological status as a discriminating factor in disease severity and suggest its relevance in tailoring treatment strategies and future research directions.

Annals of the Rheumatic DiseasesVol. 84(3)
Inserm (FR), Université de Bretagne Occidentale (FR), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Karolinska Institutet (SE), Centre Hospitalier Régional Universitaire de Brest (FR), Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research (ES), Instituto de Parasitología y Biomedicina "López - Neyra" (ES)
Agence Nationale de la Recherche
Reduced inequalities
Openalex Percentile: Top 8%
Systemic Sclerosis and Related Diseases
2.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.