n2-(1h-indazole-5-yl)-n6-methyl-3-nitropyridine-2-6-diamine and Disease-Models--Animal

n2-(1h-indazole-5-yl)-n6-methyl-3-nitropyridine-2-6-diamine has been researched along with Disease-Models--Animal* in 2 studies

Other Studies

2 other study(ies) available for n2-(1h-indazole-5-yl)-n6-methyl-3-nitropyridine-2-6-diamine and Disease-Models--Animal

ArticleYear
HSF1 promotes endometriosis development and glycolysis by up-regulating PFKFB3 expression.
    Reproductive biology and endocrinology : RB&E, 2021, Jun-09, Volume: 19, Issue:1

    Endometriosis is a chronic hormonal inflammatory disease characterized by the presence of endometrial tissue outside the uterus. Endometriosis often causes infertility, which brings physical and mental pain to patients and their families.. We examined the functions of heat shock factor 1 (HSF1) in endometriosis development through cell count assay, cell-scratch assay and clone formation experiments. We used quantitative real-time PCR (qRT-PCR) and Western blot (WB) to detect HSF1 expression. Glucose and lactate levels were determined using a glucose (GO) assay kit and a lactate assay kit. Furthermore, we used a HSF1 inhibitor-KRIBB11 to establish a mouse model of endometriosis.. Our data demonstrated that HSF1 promoted endometriosis development. Interestingly, HSF1 enhanced glycolysis via up-regulating PFKFB3 expression in endometriosis cells, which was a key glycolysis enzyme. Consistently, the HSF1 inhibitor KRIBB11 could abrogate endometriosis progression in vivo and in vitro.. Findings indicate that HSF1 plays an important role in endometriosis development, which might become a new target for the treatment of endometriosis.. Supplementary data are available.

    Topics: Aminopyridines; Animals; Blotting, Western; Cell Count; Cell Line; Cell Movement; Cell Proliferation; Disease Models, Animal; Endometriosis; Female; Gene Knockdown Techniques; Glucose; Glycolysis; Heat Shock Transcription Factors; Humans; Indazoles; Lactic Acid; Mice; Phosphofructokinase-2; Real-Time Polymerase Chain Reaction; Up-Regulation

2021
Therapeutic candidates for the Zika virus identified by a high-throughput screen for Zika protease inhibitors.
    Proceedings of the National Academy of Sciences of the United States of America, 2020, 12-08, Volume: 117, Issue:49

    When Zika virus emerged as a public health emergency there were no drugs or vaccines approved for its prevention or treatment. We used a high-throughput screen for Zika virus protease inhibitors to identify several inhibitors of Zika virus infection. We expressed the NS2B-NS3 Zika virus protease and conducted a biochemical screen for small-molecule inhibitors. A quantitative structure-activity relationship model was employed to virtually screen ∼138,000 compounds, which increased the identification of active compounds, while decreasing screening time and resources. Candidate inhibitors were validated in several viral infection assays. Small molecules with favorable clinical profiles, especially the five-lipoxygenase-activating protein inhibitor, MK-591, inhibited the Zika virus protease and infection in neural stem cells. Members of the tetracycline family of antibiotics were more potent inhibitors of Zika virus infection than the protease, suggesting they may have multiple mechanisms of action. The most potent tetracycline, methacycline, reduced the amount of Zika virus present in the brain and the severity of Zika virus-induced motor deficits in an immunocompetent mouse model. As Food and Drug Administration-approved drugs, the tetracyclines could be quickly translated to the clinic. The compounds identified through our screening paradigm have the potential to be used as prophylactics for patients traveling to endemic regions or for the treatment of the neurological complications of Zika virus infection.

    Topics: Animals; Antiviral Agents; Artificial Intelligence; Chlorocebus aethiops; Disease Models, Animal; Drug Evaluation, Preclinical; High-Throughput Screening Assays; Immunocompetence; Inhibitory Concentration 50; Methacycline; Mice, Inbred C57BL; Protease Inhibitors; Quantitative Structure-Activity Relationship; Small Molecule Libraries; Vero Cells; Zika Virus; Zika Virus Infection

2020