Upregulation of Interleukin 21 and Interleukin 21 Receptor in Patients with Dermatomyositis and Polymyositis

Mitochondrial-related hub genes in dermatomyositis: muscle and skin datasets-based identification and in vivo validation

Background: Mitochondrial dysfunction has been implicated in the pathogenesis of dermatomyositis (DM), a rare autoimmune disease affecting the skin and muscles. However, the genetic basis underlying dysfunctional mitochondria and the development of DM remains incomplete. Methods: The datasets of DM muscle and skin tissues were retrieved from the Gene Expression Omnibus database. The mitochondrial related genes (MRGs) were retrieved from MitoCarta. DM-related modules in muscle and skin tissues were identified with the analysis of weighted gene co-expression network (WGCNA), and then compared with the MRGs to obtain the overlapping mitochondrial related module genes (mito-MGs). Subsequently, differential expression genes (DEGs) obtained from muscle and skin datasets were overlapped with MRGs to identify mitochondrial related DEGs (mito-DEGs). Next, functional enrichment analysis was applied to analyze possible relevant biological pathways. We used the Jvenn online tool to intersect mito-MGs with mito-DEGs to identify hub genes and validate them using reverse transcription quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry staining. In addition, we evaluated immune infiltration in muscle and skin tissues of DM patients using the one-sample gene set enrichment analysis (ssGSEA) algorithm and predicted potential transcription factor (TF) -gene network by NetworkAnalyst. Results: The WGCNA analysis revealed 105 mito-MGs, while the DEG analysis identified 3 mito-DEGs. These genes showed functional enrichment for amino acid metabolism, energy metabolism and oxidative phosphorylation. Through the intersection analysis of the mito-MGs from the WGCNA analysis and the mito-DEGs from the DEG set, three DM mito-hub genes (IFI27, CMPK2, and LAP3) were identified and validated by RT-qPCR and immunohistochemistry analysis. Additionally, positive correlations were observed between hub genes and immune cell abundance. The TF-hub gene regulatory network revealed significant interactions involving ERG, VDR, and ZFX with CMPK2 and LAP3, as well as SOX2 with LAP3 and IFI27, and AR with IFI27 and CMPK2. Conclusion: The mito-hub genes (IFI27, CMPK2, and LAP3) are identified in both muscles and skin tissues from DM patients. These genes may be associated with immune infiltration in DM, providing a new entry point for the pathogenesis of DM.

Increased expression of the p-STAT3/IL-17 signaling pathway in patients with dermatomyositis

OBJECTIVES

The aim is to explore the roles of phosphorylated signal transduction and activator of transcription 3 (p-STAT3) and interleukin (IL)-17 in patients with dermatomyositis (DM).

METHODS

A total of 20 DM patients and 12 healthy controls were enrolled. Flow cytometry combined with counting was used to detect the number of Th17 cells. Western blotting and immunohistochemistry were used to examine the muscle levels of p-STAT3 and IL-17, and serum levels of IL-17 were measured by enzyme-linked immunosorbent assays.

RESULTS

Muscle p-STAT3 and IL-17 levels, the number of Th17 cells, and serum IL-17 levels were markedly increased in DM. p-STAT3 and IL-17 were co-expressed in the muscle of DM patients. The p-STAT3 levels were correlated with the number of Th17 cells as well as muscle and serum IL-17 levels. The correlations of the p-STAT3 level with elevated levels of transaminases, myocardial enzymes, and the health assessment questionnaire score were significantly positive, while the correlation with manual muscle testing-8 was significantly negative. A receiver operating characteristic curve indicated the good predictive value of p-STAT3 for the occurrence of DM.

CONCLUSIONS

The increased p-STAT3/IL-17 signaling pathway activation in DM patients may induce muscle inflammation and necrosis, and it may be a potential target for DM.

Integrated procedures for accelerating, deepening, and leading genetic inquiry: A first application on human muscle secretome

PURPOSE

Beyond classical procedures, bioinformatic-assisted approaches and computational biology offer unprecedented opportunities for scholars. However, these amazing possibilities still need epistemological criticism, as well as standardized procedures. Especially those topics with a huge body of data may benefit from data science (DS)-assisted methods. Therefore, the current study dealt with the combined expert-assisted and DS-assisted approaches to address the broad field of muscle secretome. We aimed to apply DS tools to fix the literature research, suggest investigation targets with a data-driven approach, predict possible scenarios, and define a workflow.

METHODS

Recognized scholars with expertise on myokines were invited to provide a list of the most important myokines. GeneRecommender, GeneMANIA, HumanNet, and STRING were selected as DS tools. Networks were built on STRING and GeneMANIA. The outcomes of DS tools included the top 5 recommendations. Each expert-led discussion has been then integrated with an DS-led approach to provide further perspectives.

RESULTS

Among the results, 11 molecules had already been described as bona-fide myokines in literature, and 11 molecules were putative myokines. Most of the myokines and the putative myokines recommended by the DS tools were described as present in the cargo of extracellular vesicles.

CONCLUSIONS

Including both supervised and unsupervised learning methods, as well as encompassing algorithms focused on both protein interaction and gene represent a comprehensive approach to tackle complex biomedical topics. DS-assisted methods for reviewing existent evidence, recommending targets of interest, and predicting original scenarios are worth exploring as in silico recommendations to be integrated with experts' ideas for optimizing molecular studies.

Phase 3, multicentre, randomised, double-blind, placebo-controlled, parallel-group study of ustekinumab in Japanese patients with active polymyositis and dermatomyositis who have not adequately responded to one or more standard-of-care treatments

OBJECTIVES

To evaluate the efficacy and safety of ustekinumab (UST) in a multicentre, randomised, double-blind, placebo-controlled trial in adult Japanese patients with active polymyositis (PM) and dermatomyositis (DM).

METHODS

Fifty-one Japanese adults diagnosed with active PM/DM who did not respond adequately to one or more standard-of-care treatments were randomised 1:1 to receive UST (n=25) or placebo (n=26). Participants received body weight-range based intravenous administration of UST (6 mg/kg) or placebo at week 0 followed by 90 mg subcutaneous (SC) administration of UST or placebo every 8 weeks from week 8 to week 24. At week 24, placebo group crossed over to receive body weight-range based intravenous administration of UST, and thereafter, all participants received/were to receive SC administration of UST 90 mg every 8 weeks (week 32 through to week 72). The primary efficacy endpoint was the proportion of participants who achieved minimal improvement (≥20) in the International Myositis Assessment and Clinical Studies Total Improvement Score (IMACS TIS) at week 24.

RESULTS

No statistically significant difference was seen in the proportion of participants who achieved minimal improvement (≥20) in IMACS TIS at week 24 between the treatment groups (UST 64.0% vs placebo 61.5%, p=0.94) based on the primary estimand of the primary endpoint analysis.

CONCLUSIONS

UST was safe and well tolerated but did not meet the primary efficacy endpoint in adult Japanese participants with active PM/DM based on the primary analysis at week 24 in the study.

TRIAL REGISTRATION NUMBER

NCT03981744.

Update on Myositis Therapy: from Today's Standards to Tomorrow's Possibilities

Inflammatory myopathies, in short, myositis, are heterogeneous disorders that are characterized by inflammation of skeletal muscle and weakness of arms and legs. Research over the past few years has led to a new understanding regarding the pathogenesis of myositis. The new insights include different pathways of the innate and adaptive immune response during the pathogenesis of myositis. The importance of non-inflammatory mechanisms such as cell stress and impaired autophagy has been recently described. New target-specific drugs for myositis have been developed and are currently being tested in clinical trials. In this review, we discuss the mechanisms of action of pharmacological standards in myositis and provide an outlook of future treatment approaches.

Cytokines and inflammatory mediators as promising markers of polymyositis/dermatomyositis

PURPOSE OF REVIEW

Idiopathic inflammatory myopathies (IIMs), known also as myositis, represent challenging group of heterogeneous muscle disorders characterized by symmetric proximal muscle weakness and evidence of muscle inflammation. The purpose of this review is to provide important updates on cytokines and inflammatory mediators related to myositis.

RECENT FINDINGS

In the past 5 years, multiple studies brought a fresh insight into the pathogenesis of myositis by introducing new factors or further characterizing the role of the well established mediators in myositis. Among the mediators reviewed in this article, special attention was paid to interferons, C-X-C motif chemokine ligand 10, interleukin-18 and the IL23/Th17 axis. Some of the recent work has also focused on the nontraditional cytokines, such as adipokines, myokines, S100 proteins, High Mobility Group Box 1 or B-cell activating factor and on several anti-inflammatory mediators. Moreover, microRNAs and their potential to reflect the disease activity or to regulate the inflammatory processes in myositis have recently been subject of intensive investigation. Some of the above-mentioned mediators have been proposed as promising clinical biomarkers or therapeutic targets for myositis.

SUMMARY

Several recent studies contributed to a better understanding of the pathogenesis of myositis and highlighted the clinical significance of certain inflammatory mediators. Application of these new findings may help to develop innovative approaches for patients' phenotyping, disease activity monitoring and potentially novel therapies.

Serum levels of soluble programmed cell death protein 1 and soluble programmed cell death protein ligand 2 are increased in systemic lupus erythematosus and associated with the disease activity

OBJECTIVE

Programmed cell death protein 1 (PD-1) pathway plays important roles in systemic lupus erythematosus (SLE). We aimed to elucidate the association of serum soluble PD-1 (sPD-1) and related molecules with SLE and to explore their usefulness as biomarkers.

METHODS

We retrospectively measured the serum levels of sPD-1, soluble PD-ligand 1 (sPD-L1), soluble PD-ligand 2 (sPD-L2) and interleukin (IL)-21 by ELISA in SLE patients, systemic sclerosis patients and healthy controls. Repeat sera samples were also obtained post treatment.

RESULTS

The serum levels of sPD-1 and sPD-L2 in SLE patients with high disease activity were significantly higher than those in SLE patients with low disease activity, systemic sclerosis patients and healthy controls (n = 58, 15, 20 and 21, respectively; p < 0.001). However, the serum levels of sPD-L1 and IL-21 were not elevated in SLE patients. The serum levels of sPD-1 and sPD-L2 were higher among active SLE patients who tested positive for anti-dsDNA antibodies than in those who tested negative (p = 0.002 and <0.001, respectively). There were moderate correlations between the serum levels of sPD-1 and sPD-L2 and the SLE Disease Activity Index 2000 scores, the titres of anti-dsDNA antibodies and the serum levels of complements. Furthermore, the serum levels of sPD-1 and sPD-L2 decreased significantly in accordance with disease amelioration following treatment (p < 0.001).

CONCLUSION

The present study demonstrated the association of serum sPD-1 and sPD-L2 with SLE and suggests their usefulness as disease activity biomarkers for SLE.

Cytokine Profiling of Serum Allows Monitoring of Disease Progression in Inclusion Body Myositis

BACKGROUND

Inclusion body myositis is a late onset inflammatory myopathy lacking reliable serum biomarkers for diagnosis and for disease progression.

OBJECTIVE

To identify diagnostic and predictive biomarkers, cytokine profiling is used to assess the potential of cytokines to discriminate between cases and controls and to assess whether treatment with methotrexate can influence biomarkers associated with disease progression.

METHODS

The diagnostic and follow-up potential of 48 cytokines was tested using Bioplex-assay and ELISA in sera of healthy individuals, IBM patients and patients with other neuromuscular disorders.

RESULTS

Ten cytokines (TRAIL, IL-8, MIF, MCP-1, LIF, IP-10, IFN-α2, MIG, bNGF and IL-3) were identified to be good to excellent markers to discern IBM patients from healthy controls. Three cytokines (IP-10, Eotaxin and SDF1A) changed significantly upon methotrexate treatment as compared with the natural clinical course. Muscle strength loss was associated with changes in IL-8 and SDF1A levels. IFN-γ levels were only associated with survival of IBM patients before correction for multiple comparisons.

DISCUSSION

Cytokine profiling can discriminate IBM patients from healthy controls and other neuromuscular disorders. Immunosuppression with methotrexate affects cytokine levels in IBM. IL-8 and SDF1A could serve as biomarkers for disease progression.