Diagnostic value of additional histopathological fascia examination in idiopathic inflammatory myopathies

Comprehensive transcriptomic analysis and machine learning reveal unique gene expression profiles in patients with immune-mediated necrotizing myopathy

BACKGROUND

Immune-mediated necrotizing myopathy (IMNM) is an autoimmune myopathy characterized by severe proximal weakness and muscle fiber necrosis, yet its pathogenesis remains unclear. So far, there are few bioinformatics studies on underlying pathogenic genes and infiltrating immune cell profiles of IMNM. Therefore, we aimed to characterize differentially expressed genes (DEGs) and infiltrating cells in IMNM muscle biopsy specimens, which may be useful for elucidating the pathogenesis of IMNM.

METHODS

Three datasets (GSE39454, GSE48280 and GSE128470) of gene expression profiling related to IMNM were obtained from the Gene Expression Omnibus database. Data were normalized, and DEG analysis was performed using the limma package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of DEGs were performed using clusterProfiler. The CIBERSORT algorithm was performed to identify infiltrating cells. Machine learning algorithm and gene set enrichment analysis (GSEA) were performed to find distinctive gene signatures and the underlying signaling pathways of IMNM.

RESULTS

DEG analysis identified upregulated and downregulated in IMNM muscle compared to the gene expression levels of other groups. GO and KEGG analysis showed that the pathogenesis of IMNM was notable for the under-representation of pathways that were important in dermatomyositis and inclusion body myositis. Three immune cells (M2 macrophages, resting dendritic cells and resting natural killer cells) with differential infiltration and five key genes (NDUFAF7, POLR2J, CD99, ARF5 and SKAP2) in patients with IMNM were identified through the CIBERSORT and machine learning algorithm. The GSEA results revealed that the key genes were remarkably enriched in diverse immunological and muscle metabolism-related pathways.

CONCLUSIONS

We comprehensively explored immunological landscape of IMNM, which is indicative for the research of IMNM pathogenesis.

Ultrasound and MR muscle imaging in new onset idiopathic inflammatory myopathies at diagnosis and after treatment: a comparative pilot study

OBJECTIVES

To prospectively compare ultrasound (US) and whole-body MRI for detection of muscle abnormalities compatible with idiopathic inflammatory myopathies (IIM).

METHODS

Newly diagnosed IIM patients underwent US (14 muscles) and MRI (36 muscles) at diagnosis and after nine weeks monotherapy with intravenous immunoglobulin. Muscles were compatible with IIM when quantitative US echo-intensity (EI) z scores was ≥1.5, semi-quantitative US Heckmatt score was ≥2, qualitative US was abnormal, or when MRI showed oedema on T2-weighted images. At patient level, findings were classified as abnormal when quantitative US EI z scores was >1.5 (n = 3 muscles), >2.5 (n = 2 muscles) or >3.5 (n = 1 muscle), or if ≥3 muscles showed abnormalities as described above for the other diagnostic methods.

RESULTS

At diagnosis, in 18 patients US of 252 muscles revealed abnormalities in 36 muscles (14%) with quantitative, in 153 (61%) with semi-quantitative and in 168 (67%) with qualitative analysis. MRI showed oedema in 476 out of 623 muscles (76%). Five patients (28%) reached abnormal classification with quantitative US, 16 (89%) with semi-quantitative and qualitative US, and all patients (100%) with MRI. Nine-week follow-up of 12 patients showed no change over time with quantitative US or MRI, and a decrease in abnormalities with semi-quantitative US (P <0.01), and qualitative US (P <0.01).

CONCLUSION

At diagnosis, MRI was more sensitive than US to detect muscle abnormalities compatible with IIM. Semi-quantitative US and qualitative US detected abnormalities in the majority of the patients while evaluating fewer muscles than MRI and showed change over time after nine weeks of treatment.

Aberrant expression of cell-free nucleosomes in dermatomyositis/polymyositis

Nucleosomes are typically located intracellularly, and extracellular levels of nucleosomes indicated the degree of cell death. We postulated aberrant nucleosomes expression in dermatomyositis (DM) and polymyositis (PM). To assess the aberrant expression of circulating nucleosomes in DM and polymyositis. 76 consecutive DM and PM patients from 1 September 2017 to 31 October 2018 were enrolled in this study, in addition to 20 healthy controls. The levels of circulating nucleosomes, with 16 kinds of detectable myositis-specific antibodies (MSAs) were detected in IIMs patients using enzyme-linked immunosorbent assay kit (ELISA). Receiver operating characteristic (ROC) curve analysis was performed for evaluating the ability of this candidate marker for detecting DM/PM. The results showed that the levels of circulating nucleosomes in DM/PM patients were significantly higher than that in normal individuals. Specifically, elevated levels of nucleosomes were associated with MDA5 Ab, ARS, and TIF1γAb. In addition, elevated levels of circulating nucleosomes correlated with skin eruption. This study has evidenced nucleosomes as a potential new biomarker of DM/PM. Aberrant nucleosomes expression occurs in myositis patients and the difference in nucleosomes expression between patients with and without skin eruption is statistically significant. A unique expression profile of elevated serum nucleosomes was detected in DM/PM-MDA5 Ab(+), ASS, and TIF1γAb(+).