RESUMO
Abstract Telomerase enzyme is necessary for the elongation of telomeres while telomerase being critical for aging and cancer. Metformin, ibuprofen, and acetylsalicylic acid used in this research are drugs that millions of people already use and that many are likely to use in future. In this study, the effects of these drugs on telomerase activity of Mus musculus swiss albino mice in liver tissue were investigated and the telomerase activity was measured with a PCR-ELISA based kit. In the study a possible connection between telomerase enzyme activity and activities of antioxidant enzymes was also investigated by determining the activity of superoxide dismutase (SOD) and catalase enzymes. The data obtained show that metformin slightly decreased telomerase enzyme activity in low dose application; however, this change was not statistically significant. In ibuprofen application, there was a significant inhibitory effect when high doses were used; whereas, there was a slight inhibitory effect at low doses. In acetylsalicylic acid application, a slight activator effect was detected; it was not statistically significant, though. Metformin was observed to increase catalase and SOD activities in general while low and high doses of acetyl salicylic acid showed different effects. In addition, ibuprofen caused a statistically significant increase in liver SOD values. It is important to note that this study demonstrated a significant inhibitory effect of ibuprofen on telomerase enzyme activity in animal models..
Assuntos
Animais , Masculino , Feminino , Camundongos , Aspirina/efeitos adversos , Ibuprofeno/efeitos adversos , Telomerase/análise , Metformina/efeitos adversos , CatalaseRESUMO
BACKGROUND: The complex pathogenesis of multiple sclerosis, combined with an unpredictable prognosis, requires identification of disease-specific diagnostic and prognostic biomarkers. OBJECTIVE: To determine whether inflammatory proteins, such as neurofilament light chain, myelin oligodendrocyte glycoprotein and myelin basic protein, and neurodegenerative proteins, such as tau and glial fibrillary acidic protein, can serve as biomarkers for predicting the clinical subtype and prognosis of MS. METHODS: Cerebrospinal fluid and serum samples were collected from patients with a diagnosis of clinically isolated syndrome (n = 46), relapsing-remitting MS (n = 67) or primary-progressive MS (n = 22) along with controls having other non-inflammatory neurological disease (n = 22). Western blot analyses were performed for the listed proteins. Protein levels were compared among different clinical subtypes using one-way analysis of variance analysis. The k-nearest neighbour algorithm was further used to assess the predictive use of these proteins for clinical subtype classification. RESULTS: The results showed that each of tau, GFAP, MOG and NFL protein concentrations differed significantly (p < 0.001) in multiple sclerosis clinical subtypes compared with the controls. Levels of the proteins also differed between the multiple sclerosis clinical subtypes, which may be associated with the underlying disease process. Classification studies revealed that these proteins might be useful for identifying multiple sclerosis clinical subtypes. CONCLUSIONS: We showed that select biomarkers may have potential in identifying multiple sclerosis clinical subtypes. We also showed that the predictive value of the prognosis increased when using a combination of the proteins versus using them individually.