2 results about "Cd4 cell" patented technology

HIV-1-related immune activation is not only associated with AIDS progression, but also with CD4+ after cART treatment. + Insufficient T cell recovery is a contributing factor. This invention focuses on nicotinamide adenine dinucleotide (NAD) precursors and their potential in modulating host immune cells against HIV-1. Treatment with nicotinamide mononucleotide (NMN) inhibits HIV-1 infection at the post-transcriptional stage by targeting ACH-2 and primary CD4 cells. + Viral production in T cells. On one hand, the NMN treatment preferentially reduces CD25. + CD4 + Intracellular HIV-1 p24 production in T cells. On the other hand, using in vitro, ex vivo, and in vivo models, NMN consistently inhibited the expression of late T cell activation markers, including CD25 and HLA-DR. Furthermore, NMN works by assisting the production of CD4+. + T-cell regeneration to improve the therapeutic efficacy of cART in HIV-1-infected humanized mice.

The invention belongs to the field of medical research, and particularly relates to a method, system and device for evaluating HIV antiviral therapy compliance and a storage medium. The method comprises the following steps: acquiring index data for reflecting ART compliance of an HIV infected person, wherein the index data comprises a nursing retention state, a drug holding rate and a CD4 cell count; constructing a group trajectory model GBTM, and identifying trajectory subgroups of different antiviral treatment compliance in the HIV infected person based on the index data; utilizing a Logistic regression model to evaluate the influence of the demology and ART variable level of different HIV infected persons on the affiliation probability of each trajectory subgroup; utilizing a Cox proportional risk model to evaluate the association between each track subgroup and all-factor death, AIDS death and non-AIDS death; and finally, constructing a dynamic prediction model based on the nursing retention, the drug coverage rate and the CD4 cell counting data by using the combined model, so as to realize real-time early warning of the death risk.