98%
921
2 minutes
20
Dravet syndrome (DS) is a severe genetic epileptic encephalopathy with onset during the first year of life. Zebrafish models recapitulating human diseases are often used as drug discovery platforms, but also for drug repurposing testing. It was recently shown that pharmacological modulation of three serotonergic (5-HT) receptors (5-HT , 5-HT , 5-HT ) exerts antiseizure effects in a zebrafish scn1Lab mutant model of DS. Using the zebrafish DS model, our aim was to examine the possibility of repurposing efavirenz (EFA), lisuride (LIS), and rizatriptan (RIZA), marketed medicines with a 5-HT on- or off-target profile, as antiepileptic drugs for DS. To examine whether these compounds have a broader antiseizure profile, they were tested in pentylenetetrazol and ethyl ketopentenoate (EKP) zebrafish models. Pharmacological effects were assessed by locomotor behavior, local field potential brain recordings, and bioluminescence. EFA was active in all models, whereas LIS was selectively active in the zebrafish DS model. Mainly, a poor response was observed to RIZA. Taken together, our preclinical results show that LIS could be a potential candidate for DS treatment. EFA was also active in the EKP model, characterized by a high level of treatment resistance, and hence these data are potentially important for future treatment of drug-resistant epilepsy.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6850687 | PMC |
http://dx.doi.org/10.1111/epi.14647 | DOI Listing |
Health Sci Rep
September 2025
Department of Dermatology the Union Hospital, Fujian Medical University Fuzhou People's Republic of China.
Background And Aims: Several observational studies have reported inconsistent associations between dyslipidaemia, stains use and atopic dermatitis (AD). Nevertheless, the available data on the effects of -C-lowering as well as TG-lowering drugs remain inconclusive and limited. The aim of this study was to evaluate the causal association of lipid traits and long-term use of lipid-lowering drugs on AD risk.
View Article and Find Full Text PDFMicrobiologyopen
October 2025
Department of Laboratory Medicine, The Third Xiangya Hospital of Central South University, Changsha, China.
Staphylococcus epidermidis is recognized as the major cause of implanted indwelling medical device-related infections. The ability of S. epidermidis to form biofilms largely increases its resistance to conventional antibiotics, which is the major cause of treatment failure.
View Article and Find Full Text PDFGeroscience
September 2025
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
The aging population worldwide faces an increasing burden of age-related conditions, with Alzheimer's disease being a prominent neurodegenerative concern. Drug repurposing, the practice of identifying new therapeutic applications for existing drugs, offers a promising avenue for accelerated intervention. In this study, we utilized the yeast Saccharomyces cerevisiae to screen a library of 1760 FDA-approved compounds, both with and without rapamycin, to assess potential synergistic effects on yeast growth.
View Article and Find Full Text PDFInt Immunopharmacol
September 2025
Department of Neonatology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 325035, Wenzhou, Zhejiang, China; Department of Pharmacology, School of Basic Medical Sciences, Wenzhou Medical University, 325035, Wenzhou, Zhejiang, China; State Key Laboratory for
Tacrolimus is widely used to prevent post-transplant acute kidney injury (AKI) but causes severe toxicities (e.g., nephrotoxicity, hyperglycemia).
View Article and Find Full Text PDFPLoS One
September 2025
School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao, Shandong, China.
Drug-target interaction (DTI) prediction is essential for the development of novel drugs and the repurposing of existing ones. However, when the features of drug and target are applied to biological networks, there is a lack of capturing the relational features of drug-target interactions. And the corresponding multimodal models mainly depend on shallow fusion strategies, which results in suboptimal performance when trying to capture complex interaction relationships.
View Article and Find Full Text PDF