thapsigargin has been researched along with Zika-Virus-Infection* in 2 studies
2 other study(ies) available for thapsigargin and Zika-Virus-Infection
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Therapeutic targeting of organelles for inhibition of Zika virus replication in neurons.
Zika virus (ZIKV) is an arbovirus belonging to the family Flaviviridae. Since 2015, ZIKV infection has emerged as a leading cause of virus-induced placental insufficiency, microcephaly and other neuronal complications. Currently, no therapeutics have been approved to treat ZIKV infection. In this study, we examined how targeted inhibition of cellular organelles or trafficking processes affected ZIKV infection and replication in neural progenitor cells. We found that blocking endocytosis, Golgi function or structural filaments like actin or microtubules had moderate effects on virus replication. However, inducing endoplasmic reticulum (ER) stress by treatment with Thapsigargin substantially inhibited virus production, suggesting the ER might be a candidate cellular target. Further analysis showed that sarcoplasmic/endoplasmic reticulum Ca2+-ATPases (SERCA) was important for ZIKV inhibition. Collectively, these studies indicate that targeting the SERCA-dependent ER stress pathway may be useful to develop antivirals to inhibit ZIKV replication. Topics: Endoplasmic Reticulum Stress; Female; Humans; Neurons; Organelles; Placenta; Pregnancy; Sarcoplasmic Reticulum Calcium-Transporting ATPases; Thapsigargin; Virus Replication; Zika Virus; Zika Virus Infection | 2023 |
Therapeutic candidates for the Zika virus identified by a high-throughput screen for Zika protease inhibitors.
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 |