The emergence of multidrug-resistant strains and hyper-virulent strains of are big therapeutic challenges for tuberculosis (TB) control. Repurposing bioactive small-molecule compounds has recently become a new therapeutic approach against TB. This study aimed to identify novel anti-TB agents from a library of small-molecule compounds via a rapid screening system. A total of 320 small-molecule compounds were used to screen for their ability to suppress the expression of a key virulence gene, , of the complex using luminescence ()-based promoter-reporter platforms. The minimum inhibitory and bactericidal concentrations on drug-resistant and cytotoxicity to human macrophages were determined. RNA sequencing (RNA-seq) was conducted to determine the drug mechanisms of the selected compounds as novel antibiotics or anti-virulent agents against the complex. The results showed that six compounds displayed bactericidal activity against BCG, of which Ebselen demonstrated the lowest cytotoxicity to macrophages and was considered as a potential antibiotic for TB. Another ten compounds did not inhibit the in vitro growth of the complex and six of them downregulated the expression of phoP/R significantly. Of these, ST-193 and ST-193 (hydrochloride) showed low cytotoxicity and were suggested to be potential anti-virulence agents for .
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http://dx.doi.org/10.3390/antibiotics11030369 | DOI Listing |
Mol Genet Genomic Med
January 2025
Group for Rare Disease Research and Therapeutics Development, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Republic of Serbia.
Introduction: Chronic endoplasmic reticulum (ER) stress and increased apoptosis are involved in the pathogenesis of glycogen storage disease Ib (GSD Ib), whereas small molecule phenylbutyrate (4-PBA) showed the capability of reducing ER stress-induced apoptosis. The objective was to generate an in vitro system in which capability of small molecules (SMs) to influence ER stress and apoptosis could be screened at the expression level.
Methods: G6PT-deficient FlpInHEK293 cell line was created and validated using the CRISPR/Cas9 knockout method.
( ) is the world's most deadly infectious pathogen and new drugs are urgently required to combat the emergence of multi-(MDR) and extensively-(XDR) drug resistant strains. The bacterium specifically upregulates sterol uptake pathways in infected macrophages and the metabolism of host-derived cholesterol is essential for long-term survival Here, we report the development of antitubercular small molecules that inhibit the cholesterol oxidases CYP125 and CYP142, which catalyze the initial step of cholesterol metabolism. An efficient biophysical fragment screen was used to characterize the structure-activity relationships of CYP125 and CYP142, and identify a non-azole small molecule that can bind to the heme cofactor of both enzymes.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Department of Chemical and Physical Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.
Machine learning (ML) models now play a crucial role in predicting properties essential to drug development, such as a drug's logscale acid-dissociation constant (p). Despite recent architectural advances, these models often generalize poorly to novel compounds due to a scarcity of ground-truth data. Further, these models lack interpretability.
View Article and Find Full Text PDFBiochem Pharmacol
January 2025
Department of Anesthesiology, Shenzhen Children's Hospital, Yitian Road 7019, Shenzhen 518000, China. Electronic address:
Dermal papilla cells (DPCs) are a crucial subset of mesenchymal cells in the skin responsible for regulating hair follicle development and growth, making them invaluable for cell-based therapies targeting hair loss. However, obtaining sufficient DPCs with potent hair-inducing abilities remains a persistent challenge. In this study, the Food and Drug Administration (FDA)-approved drug library was utilized to screen small molecules capable of reprogramming readily accessible human skin fibroblasts into functional DPCs.
View Article and Find Full Text PDFJ Chromatogr A
December 2024
Synthetic Molecule Pharmaceutical Science, gRED, Genentech, Inc., 1 DNA Way, South San Francisco, CA, 94080, United States. Electronic address:
Quantitative structure retention relation (QSRR) is an active field of research, primarily focused on predicting chromatography retention time (Rt) based on molecular structures of an input analyte on a single or limited number of reversed-phase HPLC (RP-HPLC) columns. However, in the pharmaceutical chemistry manufacturing and controls (CMC) settings, single-column QSRR models are often insufficient. It is important to translate retention time across different HPLC methods, specifically different stationary phases (SP) and mobile phases (MP), to guide the HPLC method development, and to bridge organic impurity profiles across different development phases and laboratories.
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