biostudies-literatureUnknown13(4)McLeish EBrain Foundation<h4>Objective</h4>Inclusion body myositis (IBM) is a progressive late-onset muscle disease characterised by preferential weakness of quadriceps femoris and finger flexors, with elusive causes involving immune, degenerative, genetic and age-related factors. Overlapping with normal muscle ageing makes diagnosis and prognosis problematic.<h4>Methods</h4>We characterised peripheral blood leucocytes in 81 IBM patients and 45 healthy controls using flow cytometry. Using a random forest classifier, we identified immune changes in IBM compared to HC. K-means clustering and the random forest one-versus-rest model classified patients into three immunophenotypic clusters. Functional outcome measures including mTUG, 2MWT, IBM-FRS, EAT-10, knee extension and grip strength were assessed across clusters.Clinical & translational immunologye1504https://www.ebi.ac.uk/biostudies/studies/S-EPMC10990804biostudies-literatureIdentification of distinct immune signatures in inclusion body myositis by peripheral blood immunophenotyping using machine learning models.PMC10990804Beer KCooper IMastaglia FLNeedham MSooda ACoudert JDSlater NMcLeish EfalseIdentification of distinct immune signatures in inclusion body myositis by peripheral blood immunophenotyping using machine learning models.<h4>Objective</h4>Inclusion body myositis (IBM) is a progressive late-onset muscle disease characterised by preferential weakness of quadriceps femoris and finger flexors, with elusive causes involving immune, degenerative, genetic and age-related factors. Overlapping with normal muscle ageing makes diagnosis and prognosis problematic.<h4>Methods</h4>We characterised peripheral blood leucocytes in 81 IBM patients and 45 healthy controls using flow cytometry. Using a random forest classifier, we identified immune changes in IBM compared to HC. K-means clustering and the random forest one-versus-rest model classified patients into three immunophenotypic clusters. Functional outcome measures including mTUG, 2MWT, IBM-FRS, EAT-10, knee extension and grip strength were assessed across clusters.2024-01-01T00:00:00Z20242026-07-16T21:16:03.055Z2025-04-07T12:45:01.79ZS-EPMC109908043858533510.1002/cti2.1504