Gene and Protein Expression Profiles in a Mouse Model of Collagen-Induced Arthritis.

Abstract

The risk of rheumatoid arthritis (RA), an autoimmune disease, in the elderly population increases along with that of atherosclerosis, cardiovascular disease, type 2 diabetes, and Alzheimer's disease. Identifying specific biomarkers for RA can clarify the underlying molecular mechanisms and can aid diagnosis and patient care. To this end, the present study investigated the genes and proteins that are differentially expressed in RA using a mouse collagen-induced arthritis (CIA) model. We performed gene microarray and proteome array analyses using blood samples from the mice and found that 50 genes and 24 proteins were upregulated and 48 genes were downregulated by more than 2-fold in the CIA model relative to the control. The gene microarray and proteome array results were validated by evaluating the expression levels of select genes and proteins by real-time PCR and western blotting, respectively. We found that the level of integrin α2, which has not been previously reported as a biomarker of RA, was significantly increased in CIA mice as compared to controls. These findings provide a set of novel biomarkers that can be useful for diagnosing and evaluating the progression of RA.

• Authors: Sun-Yeong Gwon, Ki-Jong Rhee, Ho Joong Sung
• Journal: International journal of medical sciences (Int J Med Sci) Vol. 15 Issue 1 Pg. 77-85 ( 2018) ISSN: 1449-1907 [Electronic] Australia
• PMID: 29333090 (Publication Type: Journal Article)

Chemical References

• Biomarkers
• Integrin alpha2
• Proteome
• Collagen

Topics

• Animals
• Arthritis, Experimental (genetics, immunology, pathology)
• Arthritis, Rheumatoid (diagnosis, genetics, immunology, pathology)
• Biomarkers (metabolism)
• Collagen (immunology)
• Disease Progression
• Gene Expression Profiling
• Humans
• Integrin alpha2 (genetics, metabolism)
• Male
• Mice
• Mice, Inbred DBA
• Oligonucleotide Array Sequence Analysis
• Proteome (genetics, metabolism)