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Okosesi, E. A.

Publications and source records attributed to Okosesi, E. A..

2 recordsLinked to original sources

Comparative Nephro-Hepatoprotective Effects of Herbal Teas from Hibiscus sabdariffa, Moringa oleifera, Zingiber officinale, and Azadirachta indica in Alloxan-Induced Diabetic Male Wistar Rats: A Preclinical Study.

Diabetes, a silent killer, ravages the kidney and liver, leaving a trail of destruction in its wake. Studies have suggested a linkconnectingdysfunctional liver and renalactivity along side glucotoxicretinopathy in patients of type 2 diabetes mellitus. Against this background, our preclinical study unveils the remarkable nephro-hepatoprotective effects of herbal teas from Hibiscus sabdariffa, Moringa oleifera, Zingiber officinale, and Azadirachta indicain diabetic male Wistar rats induced with alloxan.Diabetes of artificial source was administered through a one-time interperitonealadministeration of about seven categorieshaving 6 rats in the individual group.control (glycemic), diabetic groupthat is made up of alloxan treatment + Zobo (100+400 mg/kg)., alloxan + moringa (100 +200 mg/kg), alloxan + ginger (100+500 mg/kg), alloxan + Dogoyaro (100+250 mg/kg), and lastly, the alloxan +glibenclamide(100+5mg/kg) were orally given for 28 days.Reduction of tissue weight was observed upon administration of alloxan which was ameliorated upon treatment with the selected herbal teas. Also, elevated levels of liver and kidney biomakersinduced by alloxan were reversed upon administration of the Herbal teas. Furthermore, the Herbal teas decreased fasting blood glucose, which was initially significantly increased byalloxan (p<0.05). Consequently, given to their antihyperglycemic and nephro-hepatoprotective prowess, these selected herbal teas offer a beacon of hope for the millions afflicted not just with diabetes but also diabetes-related kidney and liver diseases.

biochemistry↗

Applications of machine learning to solve genetics problems

The development of precise DNA editing nucleases that induce double-strand breaks (DSBs) - including zinc finger nucleases, TALENs, and CRISPR/Cas systems - has revolutionized gene editing and genome engineering. Endogenous DNA DSB repair mechanisms are often leveraged to enhance editing efficiency and precision. While the non-homologous end joining (NHEJ) and homologous recombination (HR) DNA DSB repair pathways have already been the topic of an excellent deal of investigation, an alternate pathway, microhomology-mediated end joining (MMEJ), remains relatively unexplored. However, the MMEJ pathways ability to supply reproducible and efficient deletions within the course of repair makes it a perfect pathway to be used in gene knockouts. (Microhomology Evoked Deletion Judication EluciDation) may be a random forest machine learning-based method for predicting the extent to which the location of a targeted DNA DSB are going to be repaired using the MMEJ repair pathway. On an independent test set of 24 HeLa cell DSB sites, MEDJED achieved a Pearson coefficient of correlation (PCC) of 81.36%, Mean Absolute Error (MAE) of 10.96%, and Root Mean Square Error (RMSE) of13.09%. This performance demonstrates MEDJEDs value as a tool for researchers who wish to leverage MMEJ to supply efficient and precise gene knock outs.

bioinformatics↗