biostudies-literatureUnknown11(4)de Maleprade B<h4>Objective</h4>To describe the joint manifestations associated with clonal haematopoiesis and to compare patients with and without VEXAS (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) syndrome.<h4>Methods</h4>Patients screened for <i>UBA1</i> mutations between December 2019 and January 2023 in 7 Normandie (France) hospitals were recruited retrospectively.<h4>Results</h4>Thirty patients with a haematological disorder associated with dysimmune manifestations were included: 17 (57%) without <i>UBA1</i> mutations (non-VEXAS) and 13 (43%) with <i>UBA1</i> mutations (VEXAS). Thirteen (77%) non-VEXAS patients had joint involvement (arthralgia/arthritis), compared with 4 (31%) VEXAS patients (p value: 0.016). Unsupervised clustering using hierarchical clustering identified two clustRMD opene006074https://www.ebi.ac.uk/biostudies/studies/S-EPMC12574337biostudies-literatureJoint involvement in VEXAS and non-VEXAS clonal haematopoiesis: two clusters from a multicentre regional cohort.PMC12574337Stamatoullas-Bastard ALanglois VJastrzebski FSauvetre GArmengol GAvenel MLequerre Tde Maleprade BBenhamou YJardin FBrevet PVittecoq OCurie AMembrey BfalseJoint involvement in VEXAS and non-VEXAS clonal haematopoiesis: two clusters from a multicentre regional cohort.<h4>Objective</h4>To describe the joint manifestations associated with clonal haematopoiesis and to compare patients with and without VEXAS (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) syndrome.<h4>Methods</h4>Patients screened for <i>UBA1</i> mutations between December 2019 and January 2023 in 7 Normandie (France) hospitals were recruited retrospectively.<h4>Results</h4>Thirty patients with a haematological disorder associated with dysimmune manifestations were included: 17 (57%) without <i>UBA1</i> mutations (non-VEXAS) and 13 (43%) with <i>UBA1</i> mutations (VEXAS). Thirteen (77%) non-VEXAS patients had joint involvement (arthralgia/arthritis), compared with 4 (31%) VEXAS patients (p value: 0.016). Unsupervised clustering using hierarchical clustering identified two clust2025-01-01T00:00:00Z2025 Oct2026-06-05T07:34:45.188Z2026-05-14T03:12:36.566ZS-EPMC125743374116763410.1136/rmdopen-2025-006074