Comprehensive multi-cohort transcriptional meta-analysis of muscle diseases identifies a signature of disease severity.

ABSTRACT: Muscle diseases share common pathological features suggesting common underlying mechanisms. We hypothesized there is a common set of genes dysregulated across muscle diseases compared to healthy muscle and that these genes correlate with severity of muscle disease. We performed meta-analysis of transcriptional profiles of muscle biopsies from human muscle diseases and healthy controls. Studies obtained from public microarray repositories fulfilling quality criteria were divided into six categories: (i) immobility, (ii) inflammatory myopathies, (iii) intensive care unit (ICU) acquired weakness (ICUAW), (iv) congenital muscle diseases, (v) chronic systemic diseases, (vi) motor neuron disease. Patient cohorts were separated in discovery and validation cohorts retaining roughly equal proportio

SUBMITTER: Walsh CJ 

PROVIDER: S-EPMC9253003 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature