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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Disorders of the Skeletal Muscle01:28

Disorders of the Skeletal Muscle

The clinical conditions affecting the skeletal muscle tissue are broadly categorized as musculoskeletal and neuromuscular disorders.
Musculoskeletal disorders
Musculoskeletal disorders involve injuries and conditions affecting the skeletal muscles and associated connective tissues. These disorders can arise from acute biomechanical stresses or chronic overuse and can occur across different age groups. Common injuries include sprains, fractures, and muscular strains, often resulting from...
The JAK-STAT Signaling Pathway01:20

The JAK-STAT Signaling Pathway

Several cytokine receptors have tightly bound Janus kinase or JAK proteins attached at their cytosolic tail. Small signaling molecules such as cytokines, growth hormones, or prolactins bind to the cytokine receptors and initiate their dimerization. The dimerization brings the cytosolic JAKs together that trans-phosphorylate and activates each other. The activated JAKs now phosphorylate cytosolic tails of the cytokine receptors, which serve as binding sites for adaptor proteins such as  SH2...
Skeletal Muscle Anatomy00:55

Skeletal Muscle Anatomy

Skeletal muscle is the most abundant type of muscle in the body. Tendons are the connective tissue that attaches skeletal muscle to bones. Skeletal muscles pull on tendons, which in turn pull on bones to carry out voluntary movements.

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Related Experiment Videos

Mapping the Knowledge Landscape of Muscle Disorders in Rheumatoid Arthritis: A Bibliometric and Bioinformatics Study.

Liangjie Ma1, Ting Yao2, Dier Jin3

  • 1Department of TCM Rheumatology, China-Japan Friendship Hospital; School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine.

Journal of Visualized Experiments : Jove
|May 11, 2026
PubMed
Summary

This bibliometric analysis highlights research trends in rheumatoid arthritis (RA) and muscle disorders comorbidity. Myositis emerges as a key research hotspot, with significant gene and pathway involvement identified.

Related Experiment Videos

Area of Science:

  • Rheumatology and Immunology
  • Genetics and Molecular Biology
  • Bibliometrics

Background:

  • Rheumatoid arthritis (RA) frequently co-occurs with muscle disorders, impacting patient prognosis.
  • Understanding the research landscape of this comorbidity is crucial for advancing treatment strategies.

Purpose of the Study:

  • To conduct a bibliometric analysis of RA and muscle disorder comorbidity research.
  • To identify global research hotspots, trends, and key themes.
  • To explore the genetic and pathway correlations between RA and myositis.

Main Methods:

  • Bibliometric analysis of Web of Science Core Collection data (2015-2024).
  • Visualization tools: VOSviewer, CiteSpace, Scimago Graphica.
  • Gene expression and pathway analysis using GeneCards and KEGG.

Main Results:

  • The United States and China lead in publications; Sweden shows strong institutional output.
  • Myositis, tumor necrosis factor, and metabolism are key research clusters.
  • 359 shared genes between RA and myositis identified; TNF, IL6, IFNG are central genes.
  • TNF, JAK-STAT, and IL-17 signaling pathways are critically involved.

Conclusions:

  • Bibliometric analysis reveals cyclical publication trends and collaborative networks.
  • Myositis is a significant research focus within RA-muscle disorder comorbidity.
  • Gene and pathway analysis provides insights into the molecular mechanisms underlying this comorbidity.