Background: Praziquantel (PZQ) is the only widely available drug to treat schistosomiasis. Given the potential for drug resistance, it is prudent to search for novel therapeutics. Identification of anti-schistosomal chemicals has traditionally relied on phenotypic (whole organism) screening with adult worms in vitro and/or animal models of disease-tools that limit automation and throughput with modern microtiter plate-formatted compound libraries.
Methods: A partially automated, three-component phenotypic screen workflow is presented that utilizes at its apex the schistosomular stage of the parasite adapted to a 96-well plate format with a throughput of 640 compounds per month. Hits that arise are subsequently screened in vitro against adult parasites and finally for efficacy in a murine model of disease. Two GO/NO GO criteria filters in the workflow prioritize hit compounds for tests in the animal disease model in accordance with a target drug profile that demands short-course oral therapy. The screen workflow was inaugurated with 2,160 chemically diverse natural and synthetic compounds, of which 821 are drugs already approved for human use. This affords a unique starting point to 'reposition' (re-profile) drugs as anti-schistosomals with potential savings in development timelines and costs.
Findings: Multiple and dynamic phenotypes could be categorized for schistosomula and adults in vitro, and a diverse set of 'hit' drugs and chemistries were identified, including anti-schistosomals, anthelmintics, antibiotics, and neuromodulators. Of those hits prioritized for tests in the animal disease model, a number of leads were identified, one of which compares reasonably well with PZQ in significantly decreasing worm and egg burdens, and disease-associated pathology. Data arising from the three components of the screen are posted online as a community resource.
Conclusions: To accelerate the identification of novel anti-schistosomals, we have developed a partially automated screen workflow that interfaces schistosomula with microtiter plate-formatted compound libraries. The workflow has identified various compounds and drugs as hits in vitro and leads, with the prescribed oral efficacy, in vivo. Efforts to improve throughput, automation, and rigor of the screening workflow are ongoing.
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http://dx.doi.org/10.1371/journal.pntd.0000478 | DOI Listing |
PM R
January 2025
Board Certified Clinical Specialist in Oncological Physical Therapy, Board Certified Clinical Specialist in Women's Health Physical Therapy, LANA Certified Lymphedema Therapist, Select Medical, ReVital Cancer Rehabilitation, Mechanicsburg, Pennsylvania, USA.
This methodological paper explores the intricacies of implementing evidence-based medicine in the health care sector specifically focusing on the clinical practice guideline (CPG) published by the American Physical Therapy Association's Academy of Oncologic Physical Therapy for diagnosing upper quadrant lymphedema secondary to cancer (diagnosis CPG). Although CPGs are widely available, their implementation into clinical practice remains inconsistent, slow, and complex. To address this challenge, this paper employs the Knowledge-to-Action framework, offering a detailed description of the seven stages through the lens of an in-progress case study on the implementation of the diagnosis CPG.
View Article and Find Full Text PDFBackground: Ambient artificial intelligence offers promise for improving documentation efficiency and reducing provider burden through clinical note generation. However, challenges persist in workflow integration, compliance, and widespread adoption. This study leveraged a Learning Health System (LHS) framework to align research and operations using a hybrid effectiveness-implementation protocol, embedded as pragmatic trial operations within the electronic health record (EHR).
View Article and Find Full Text PDFACS Nano
January 2025
South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter, South China University of Technology, Guangzhou 510640, China.
Synthetic single-wall carbon nanotubes (SWCNTs) contain various chiralities, which can be sorted by DNA. However, finding DNA sequences for this purpose mainly relies on trial-and-error methods. Predicting the right DNA sequences to sort SWCNTs remains a substantial challenge.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
University of California, San Francisco, San Francisco, CA, USA.
Background: Point-of-care HIV viral load testing may enhance patient care and improve HIV health services. We aimed to evaluate the feasibility and acceptability of implementing such testing in a high-volume community sexual health clinic in the United States.
Methods: We conducted a cross-sectional, mixed-methods study.
Inflamm Res
January 2025
Medical Systems Biology Research Center, School of Medicine, Tsinghua University, Beijing, 100084, China.
Background: Traditional Chinese medicine (TCM) is a valuable resource for drug discovery and has demonstrated excellent efficacy in treating inflammatory diseases. This study aimed to develop a universal gene signature-based strategy for high-throughput discovery of anti-inflammatory drugs, especially Traditional Chinese medicine (TCM).
Methods: The disease gene signature of liposaccharide-stimulated THP-1 cells and drug gene signatures of 655 drug candidates were established via sequencing.
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