Stability of a Two-Strain Tuberculosis Model with General Contact Rate

A two-strain tuberculosis model with general contact rate which allows tuberculosis patients with the drug-sensitive Mycobacterium tuberculosis strain to be treated is presented. The model includes both drug-sensitive and drug-resistant strains. A detailed qualitative analysis about positivity, boundedness, existence, uniqueness and global stability of the equilibria of this model is carried out. Analytical results of the model show that the quantities R1 and R2, which represent the basic reproduction numbers of the sensitive and resistant strains, respectively, provide the threshold conditions which determine the competitive outcomes of the two strains. Numerical simulations are also conducted to confirm and extend the analytic results

Oxypeucedanin hydrate monoacetate isolated from Angelica dahurica induces apoptosis in Caco-2 colon carcinoma cells through the mediation of PI3K-signalling pathway and inhibition of cancer cell migration

The main aim of the present research work was to demonstrate the antitumor and apoptotic activities of oxypeucedanin hydrate monoacetate isolated from Angelica dahurica against Caco-2 colon cancer cells. MTT cell viability assay along with clonogenic assays were used to study the effect of the compound on cell cytotoxicity and the colony forming tendency. Fluorescence microscopy using acridine orange/ethidium bromide was used to study the effects on apoptosis. In vitro wound healing assay and Western blotting were carried out to study effect on cell migration and PI3K-signalling pathway. The results revealed that oxypeucedanin hydrate monoacetate inhibited Caco-2 cell proliferation and decreased the number of cancer colony forming cells. This compound exerted anti-migratory effects in dose- and time-dependent manner. As compared to the untreated control, drug-treated cells showed significant inhibition of cancer cell migration. Oxypeucedanin hydrate monoacetate significantly down-regulated the expression of pAkt and pPI3K in Caco-2 cells

Integrative multi-omics and drug–response characterization of patient-derived prostate cancer primary cells

Abstract Prostate cancer (PCa) is the second most prevalent malignancy in males across the world. A greater knowledge of the relationship between protein abundance and drug responses would benefit precision treatment for PCa. Herein, we establish 35 Chinese PCa primary cell models to capture specific characteristics among PCa patients, including gene mutations, mRNA/protein/surface protein distributions, and pharmaceutical responses. The multi-omics analyses identify Anterior Gradient 2 (AGR2) as a pre-operative prognostic biomarker in PCa. Through the drug library screening, we describe crizotinib as a selective compound for malignant PCa primary cells. We further perform the pharmacoproteome analysis and identify 14,372 significant protein-drug correlations. Surprisingly, the diminished AGR2 enhances the inhibition activity of crizotinib via ALK/c-MET-AKT axis activation which is validated by PC3 and xenograft model. Our integrated multi-omics approach yields a comprehensive understanding of PCa biomarkers and pharmacological responses, allowing for more precise diagnosis and therapies