Preferred Language
Articles
/
xReAlo8BVTCNdQwC6Xvj
Neuroprotective effects of daidzein against ifosfamide-induced neurotoxicity in male rats: role of selected inflammatory and apoptotic markers
...Show More Authors

Ifosfamide (IFO), an alkylating chemotherapy agent, is known for its association with neurotoxicity and encephalopathy. This trial was designed to evaluate the protective action of daidzein (DZN) against IFO-induced neurotoxicity in male rats by determining the difference in certain inflammatory and apoptotic markers in the brain tissue of rats. Twenty-eight Wistar rats, weighing 120-150 g, were divided into four groups of seven rats: Group 1 (Control) received no treatment; Group 2 was orally administered DZN (100 mg/kg/day) for seven days; Group 3 received a single intraperitoneal (IP) dose of IFO (500 mg/kg); Group 4 received oral DZN (100 mg/kg/day) for one week prior to a single IP dose of IFO on the seventh day. Twenty-four hours post-treatment, serum and brain tissue samples were collected for analysis. The results indicated a significant increase in serum inflammatory markers (TNF-alpha, IL-6, and iNOS) and the anti-inflammatory marker (IL-10), along with elevated caspase-3 enzyme activity in the brain tissue of the IFO-treated group compared to the control group. Conversely, pre-treatment with DZN significantly reduced serum inflammatory markers and caspase-3 levels in tissue. The findings suggest that daidzein has anti-inflammatory and anti-apoptotic properties, potentially offering protection against IFO-induced neurotoxicity in rats.

Scopus Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Mon Jun 05 2023
Journal Name
Journal Of Economics And Administrative Sciences
Fuzzy Bridge Regression Model Estimating via Simulation
...Show More Authors

      The main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin

... Show More
View Publication Preview PDF
Crossref