Resistance to widely used fungistatic drugs, particularly to the ergosterol biosynthesis inhibitor fluconazole, threatens millions of immunocompromised patients susceptible to invasive fungal infections. The dense network structure of synthetic lethal genetic interactions in yeast suggests that combinatorial network inhibition may afford increased drug efficacy and specificity. We carried out systematic screens with a bioactive library enriched for off-patent drugs to identify compounds that potentiate fluconazole action in pathogenic Candida and Cryptococcus strains and the model yeast Saccharomyces. Many compounds exhibited species- or genus-specific synergism, and often improved fluconazole from fungistatic to fungicidal activity. Mode of action studies revealed two classes of synergistic compound, which either perturbed membrane permeability or inhibited sphingolipid biosynthesis. Synergistic drug interactions were rationalized by global genetic interaction networks and, notably, higher order drug combinations further potentiated the activity of fluconazole. Synergistic combinations were active against fluconazole-resistant clinical isolates and an in vivo model of Cryptococcus infection. The systematic repurposing of approved drugs against a spectrum of pathogens thus identifies network vulnerabilities that may be exploited to increase the activity and repertoire of antifungal agents.
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http://dx.doi.org/10.1038/msb.2011.31 | DOI Listing |
Alzheimers Dement
December 2024
The University of Texas Health Science Center at Houston, Houston, TX, USA.
Background: Developing drugs for treating Alzheimer's disease (AD) has been extremely challenging and costly due to limited knowledge on underlying biological mechanisms and therapeutic targets. Repurposing drugs or their combination has shown potential in accelerating drug development due to the reduced drug toxicity while targeting multiple pathologies.
Method: To address the challenge in AD drug development, we developed a multi-task machine learning pipeline to integrate a comprehensive knowledge graph on biological/pharmacological interactions and multi-level evidence on drug efficacy, to identify repurposable drugs and their combination candidates RESULT: Using the drug embedding from the heterogeneous graph representation model, we ranked drug candidates based on evidence from post-treatment transcriptomic patterns, mechanistic efficacy in preclinical models, population-based treatment effect, and Phase 2/3 clinical trials.
Alzheimers Dement
December 2024
Critical Path for Alzheimer's Disease (CPAD) Consortium, Critical Path institute, Tucson, AZ, USA.
Background: To help improve the Alzheimer's disease (AD) therapeutics research and development process, the Critical Path for Alzheimer's Disease (CPAD) Consortium at the Critical Path Institute (C-Path) provides a neutral framework for the drug development industry, regulatory agencies, academia, and patient advocacy organizations to collaborate. CPAD's extensive track record of developing regulatory-grade quantitative drug development tools motivates sponsors to share patient-level data and neuroimages from clinical trials. CPAD leverages these data and uses C-Path's core competencies in data management and standardization, quantitative modeling, and regulatory science to develop tools that help de-risk decision making in AD drug development.
View Article and Find Full Text PDFBackground: A large body of evidence now indicates that the most pathogenic species of Aß in Alzheimer's disease (AD) consist of soluble toxic oligomers (AßO) as opposed to insoluble fibrils and monomers. Using our computational platform, we identified 4 different AßO-restricted conformational B cell epitopes (300, 301, 303, 305) that were tested as vaccines for their ability to induce an antibody response that selectively targets toxic AßO, without inducing potentially detrimental B or T cell responses against plaque or normal Aß. A novel ex vivo approach was then used to select an optimal vaccine configuration amongst the 15 possible combinations of the 4 epitopes to provide maximal binding to a toxic oligomer-enriched low molecular weight (LMW) fraction of soluble AD brain extracts.
View Article and Find Full Text PDFBackground: Recent anti-amyloid mAb trial results demonstrate slowing of Alzheimer's disease progression, but to date do not fully halt or reverse this progression. Optimization of anti-amyloid therapy (timing and duration of intervention, modality, combinations, biomarker guidance) is limited by incomplete understanding of the disease, such as relationship between amyloid and tau pathways. Mechanistic Alzheimer's progression modeling investigated how amyloid and tau pathologies are connected in driving progression.
View Article and Find Full Text PDFDrug Des Devel Ther
January 2025
Clinical Trial Center, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, 313000, People's Republic of China.
Purpose: The study aimed to investigate the pharmacokinetics and bioequivalence of coformulations of valsartan and amlodipine in healthy Chinese subjects under both fasting and fed conditions.
Methods: The research was conducted under both fasting and fed studies and employed a single-center, randomized, open-label, single-dose, three-period design with partial-repeat and crossover elements. A total of 71 healthy Chinese adult participants were included under fasting (n = 36) and fed (n = 35) conditions.
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