Dataset Information

Clues to Drivers of Juvenile Dermatomyositis: Genetic Alterations after Type I Interferon and JAK Inhibitor Treatment in Pediatric Bioengineered Skeletal Muscle

ABSTRACT: To better understand the pathogenesis of juvenile dermatomyositis (JDM) we examined the genetic alterations that result from exogenous IFN I exposure in pediatric skeletal muscle. We compared untreated healthy pediatric donor-derived myobundles with those treated with IFN I as well as with JAKi baricitinib and tofacitinib. We used bulk mRNA sequencing to evaluate how IFN I and treatment with JAKi influence healthy and JDM skeletal muscle gene expression and show IFNβ leads to a greater pro-inflammatory gene response than IFNα in pediatric skeletal muscle. As a type I interferon gene signature is established in JDM, downregulated oxidative phosphorylation, myogenesis, and contractile protein gene expression is implicated in JDM pathology. These genetic changes are partially reversed by JAK inhibitors, baricitinib and tofacitinib, with baricitinib leading to greater genetic alteration than tofacitinib. Our findings show that analysis of differential gene expression in bioengineered pediatric skeletal muscle can inform our knowledge of JDM pathogenesis and therapeutic effects.

ORGANISM(S): Homo sapiens

PROVIDER: GSE243339 | GEO | 2024/09/18

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background :To evaluate the impact of the duration of chronic inflammation on gene expression in skeletal muscle biopsies (MBx) from untreated children with juvenile dermatomyositis (JDM) and identify genes and biological processes associated with the disease progression, expression profiling data from 16 girls with active symptoms of JDM greater or equal to 2 months were compared with 3 girls with active symptoms less than 2 months. Results: Seventy-nine genes were differentially expressed between the groups with long or short duration of untreated disease. Genes involved in immune responses and vasculature remodeling were expressed at a higher level in muscle biopsies from children with greater or equal to 2 months of symptoms, while genes involved in stress responses and protein turnover were expressed at a lower level. Among the 79 genes, expression of 9 genes showed a significant linear regression relationship with the duration of untreated disease. Five differentially expressed genes--HLA-DQA1, smooth muscle myosin heavy chain, clustering, plexin D1 and tenomodulin--were verified by quantitative RT-PCR. The chronic inflammation of longer disease duration was also associated with increased DC-LAMP+ and BDCA2+ mature dendritic cells, identified by immunohistochemistry. Conclusions: We conclude that chronic inflammation alters the gene expression patterns in muscle of untreated children with JDM. Symptoms lasting greater or equal to 2 months were associated with dendritic cell maturation and anti-angiogenic vascular remodelling, directly contributing to disease pathophysiology. Experiment Overall Design: After obtaining informed consent, 23 girls with definite JDM were enrolled in this study prior to obtaining the MRI directed diagnostic muscle biopsy. All 23 JDM samples and 4 healthy age- and sex-matched controls were expression profiled and for first gene filtering. Only profiling data from untreated patients (19 profiles) were then analyzed statistically. Experiment Overall Design: disease duration : less than 2 months: YJD-JDM-2UA-s2,YJD-JDM-1UA-s2,YJD-JDM-16UA-s2 Experiment Overall Design: disease duration : more than 2 months:YJD-JDM-30UA-s2,YJD-JDM-19UA-s2,YJD-JDM-5UA-s2,YJD-JDM-21UA-s2,YJD-JDM-18UA-s2,YJD-JDM-3UA-s2,YJD-JDM-23UA-s2,YJD-JDM-9UA-S2,YJD-JDM-12UA-s2,YJD-JDM-14UA-s2,YJD-JDM-25UA-s2,YJD-JDM-8UA-s2,YJD-JDM-15UA-s2,YJD-JDM-13UA-s2,YJD-JDM-10UA-S2,YJD-JDM-6UA-s2.

Dataset Information

Clues to Drivers of Juvenile Dermatomyositis: Genetic Alterations after Type I Interferon and JAK Inhibitor Treatment in Pediatric Bioengineered Skeletal Muscle

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets