A data driven diagnosis tool for thyroid hormones

A MATHEMATICAL MODEL FOR TREATMENT OF PAPILLARY THYROID CANCER USING THE ALLEE EFFECT

The incidence of thyroid cancer is rising all over the world, and the papillary subtype (PTC) is the primary factor for this increase. The presence of thyroid tumors is commonly associated with increased levels of cytokines, such as interleukin 6 (IL-6). Considering PTC patients treated with thyroidectomy and radioactive iodine [Formula: see text]I (RAI), we propose an ordinary differential system using four variables: the RAI activity, the number of cancer cells and the serum concentrations of IL-6 and thyroglobulin (Tg). Our objective is to study the efficacy of different therapeutic doses of RAI in the treatment of thyroid cancer. The Allee effect is taken into account when modeling cancer cells growth under the influence of IL-6. From the results obtained, the main factors and conditions correlated with successful treatment, such as the RAI activity used and the tumor response are addressed. The detection of minimal doses of RAI that can cause tumor extinction is performed, though this has also meant longer periods for tumor cell elimination. The critical number of tumor cells due to the Allee effect is analyzed and linked to the immune system or biological factors that can slow the progression of the tumor but are insufficient after thyroid resection surgery.

Novel potent natural peroxidases inhibitors with in vitro assays, inhibition mechanism and molecular docking of phenolic compounds and alkaloids

Peroxidase inhibition produced by phenolic compounds as hispidin and gallic acid, alkaloids as harmine and natural extracts of Inonotus hispidus, and Marrubium vulgare were investigated in this study. No further studies have been found in this context. Thus, the results show that the phenolic and the alkaloidal extracts with the three molecules are potent inhibitors of horseradish peroxidase. Uric acid is used as a substrate reaction to finding the enzymatic inhibition for the first time. The results show that the best inhibitor is hispidin with a value of IC50 = 23 µg/ml. Moreover, Molecular docking has been carried out using the AutoDock Vina program to discuss the nature of interactions and the mechanism of inhibition between both peroxidases (horseradish and thyroid) which is performed with and without heme group for the first time. The three studied compounds were further subjected to ADEMT and Lipinski filtering analyses for drug-likeness prediction analysis. However, the results show that all the docked molecules are competitive inhibitors confirming that no further studies have been published before. Thus, hispidin is a more potent irreversible TPO inhibitor then propylthiouracil anti-thyroid drug. Its inhibition mechanism is well described through this work for the first time; which suggests is used as an anti-thyroid drug to treat hyperthyroidism. Furthermore, the studied phenolic compounds (Hispidin and Gallic acid) and one alkaloid (Harmine) are non-toxic, that bind to the receptor-binding site and catalytic dyad of peroxidases were identified from the predictive ADMET and Lipinski filter analysis.Communicated by Ramaswamy H. Sarma.