Modeling and Regulation of Thyroid Feedback Network Based on DNA Strand Displacement

The Internet of Things has shown great advantages in intelligent healthcare applications. In this article, based on the idea of Internet of Things application in intelligent healthcare, the channel of connection between thyroid gland and DNA strands is established so that the information can be delivered. Tracking and control of the thyroid feedback network (TFN) can be achieved through variations of DNA strand concentration. First, DNA strand displacement chemical reaction networks (DSD CRNs) of the thyroid three-compartment network model [thyrotropin releasing hormones (TRHs), thyrotropin stimulating hormones (TSHs), and thyroid hormones (THs)] are constructed based on DSD. Second, the variations in biochemical indicators of thyroid-related hormones (TRH, TSH, and TH) are analyzed by studying the dynamic behavior of the TFN. The changes in thyroid-related hormones reflect to the symptoms of thyroid-related diseases (TRDs). Third, the CRNs of the active tracking controller are constructed to achieve dynamic equilibrium of biochemical indicators in the TFN. Therefore, the regulation of the TFN is implemented. The Visual DSD and MATLAB software are used to verify the robustness and effectiveness of the TFN. The TFN can better predict biochemical indicators in patients with TRDs.