In-vitro assay methods were established to evaluate transactivation and binding activity of compounds on peroxisome proliferator-activated receptor y (PPARγ). Firstly, plasmids were constructed for transactivation assay of PPARγ response element (PPRE) triggered reporter gene expression, and for cell-based binding activity assay of the chimeric receptor, which was fused with PPARγ ligand binding domain (LBD) and yeast transcriptional activator Gal4. Secondly, by using PPARy competitive binding assay based on time resolved-fluorescence resonance energy transfer (TR-FRET), affinities of compounds and drugs to PPARγ were evaluated. In application of these above methods, the PPARγ activating potency and characteristics of different compounds were evaluated, and a novel benzeneselfonamide derivative, ZLJ01, was found to have comparable binding activity and affinity with the well-known PPARy agonist, but lack of PPRE mediated transactivation activity. In preliminary study on in-vitro hypoglycemic activity, ZLJ1 was found to promote insulin-stimulated glucose uptake by liver cells. Therefore, we believe that combining transactivation and binding activity as well as affinity evaluation, the system could be used to screen non-agonist PPARγ ligand as anovel PPARγ modulator

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.