Leucocyte Abnormalities in Synovial Fluid of Degenerative and Inflammatory Arthropathies.
Chiara BaggioRoberto LuisettoCarlotta BoscaroAnna ScanuRoberta RamondaMattia AlbieroPaolo SfrisoFrancesca OlivieroPublished in: International journal of molecular sciences (2023)
Genome damage has been related to the induction of autoimmune processes, chronic inflammation, and apoptosis. Recent studies suggest that some rheumatological diseases are associated with overall genomic instability in the T cell compartment. However, no data regarding leucocyte abnormalities in synovial fluid (SF) and their relationship with inflammation are available. The aim of this study was to investigate cellular phenotypes in SF collected from patients with different inflammatory arthropathies, including rhematoid arthritis (RA), psoriatic arthritis (PsA), crystal-induced arthritis (CIA), and non-inflammatory arthropathies, such as osteoarthritis (OA). We found high percentage of micronuclei in SF from CIA compared to the other groups and a high frequency of pyknotic cell in RA and CIA patients. A correlation between pyknosis and immature polymorphonuclear cells with local inflammatory indices was observed. The study of the apoptosis process revealed an increased BAX expression in CIA and RA compared to OA and PsA, while Bcl-2 was higher in CIA. Caspase-3 activity was increased in SF from RA patients and correlates with inflammatory and anti-inflammatory cytokines. In conclusion, our results showed that inflammatory SF is associated with genomic instability and abnormal cell subsets.
Keyphrases
- oxidative stress
- rheumatoid arthritis
- induced apoptosis
- end stage renal disease
- high frequency
- diabetic rats
- prostate cancer
- chronic kidney disease
- ejection fraction
- single cell
- cell cycle arrest
- newly diagnosed
- cell death
- prognostic factors
- knee osteoarthritis
- peritoneal dialysis
- endoplasmic reticulum stress
- signaling pathway
- poor prognosis
- cell therapy
- drug induced
- radical prostatectomy
- multiple sclerosis
- electronic health record
- binding protein
- machine learning
- cell proliferation