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Clonorchiasis, caused by the parasite , remains a public health concern in East Asian countries. In this study, high-throughput screening was used to analyze 320 compounds for potential inhibitory activity against . To ensure the selection of high-confidence hits, a stringent inhibition threshold of 80% was applied, leading to the identification of three active compounds: moxifloxacin, hexachlorophene, and ivermectin (IVM). Ivermectin emerged as a hit compound and was assessed for its anti- efficacy. Ivermectin demonstrated dose-dependent trematocidal activity against metacercariae (CsMC) and newly excysted juveniles (CsNEJs), showing superior efficacy against CsMC and CsNEJs compared to praziquantel. To assess in vivo efficacy, rats were infected with CsMC and treated with ivermectin at 1 and 4 weeks post-infection (wpi) to target larval and adult stages, respectively. A significant worm burden reduction was observed compared to untreated control when treatment was administered at 1 wpi, showing an antiparasitic effect against larvae. Parasite-specific IgG levels and ALT/AST responses were comparable to those of the infection control group. These findings suggest that ivermectin may serve as a potential alternative drug targeting larvae.
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http://dx.doi.org/10.3390/antibiotics14080837 | DOI Listing |
PLoS One
September 2025
Center for Radiological Research, Columbia University Irving Medical Center, New York, New York, United States of America.
In the event of a large-scale radiological or nuclear emergency, a rapid, high-throughput screening tool will be essential for efficient triage of potentially exposed individuals, optimizing scarce medical resources and ensuring timely care. The objective of this work was to characterize the effects of age and sex on two intracellular lymphocyte protein biomarkers, BAX and p53, for early radiation exposure classification in the human population, using an imaging flow cytometry-based platform for rapid biomarker quantification in whole blood samples. Peripheral blood samples from male and female donors, across three adult age groups (young adult, middle-aged, senior) and a juvenile cohort, were X-irradiated (0-5 Gy), and biomarker expression was quantified at two- and three-days post-exposure.
View Article and Find Full Text PDFNanoscale
September 2025
School of Materials Science and Engineering, Beihang University, Beijing 100191, China.
The challenge of photocatalytic hydrogen production has motivated a targeted search for MXenes as a promising class of materials for this transformation because of their high mobility and high light absorption. High-throughput screening has been widely used to discover new materials, but the relatively high cost limits the chemical space for searching MXenes. We developed a deep-learning-enabled high-throughput screening approach that identified 14 stable candidates with suitable band alignment for water splitting from 23 857 MXenes.
View Article and Find Full Text PDFJ Chem Phys
September 2025
National Synchrotron Radiation Laboratory, State Key Laboratory of Advanced Glass Materials, Anhui Provincial Engineering Research Center for Advanced Functional Polymer Films, University of Science and Technology of China, Hefei, Anhui 230029, China.
Polymer density is a critical factor influencing material performance and industrial applications, and it can be tailored by modifying the chemical structure of repeating units. Traditional polymer density characterization methods rely heavily on domain expertise; however, the vast chemical space comprising over one million potential polymer structures makes conventional experimental screening inefficient and costly. In this study, we proposed a machine learning framework for polymer density prediction, rigorously evaluating four models: neural networks (NNs), random forest (RF), XGBoost, and graph convolutional neural networks (GCNNs).
View Article and Find Full Text PDFAngew Chem Int Ed Engl
September 2025
Department of Chemistry, University of Utah, Salt Lake City, UT, 84112, USA.
The term "generality" has recently been popularized in synthetic chemistry, owing largely to the increasing use of high-throughput technology for producing vast quantities of data and the emergence of data science tools to plan and interpret these experiments. Despite this, the term has not been clearly defined, and there is no standardized approach toward developing a method with a diverse (general) scope. This minireview will examine different emerging strategies toward achieving generality using selected examples and aims to give the reader an overview of modern workflows that have been used to expedite this pursuit.
View Article and Find Full Text PDFInt J Nanomedicine
September 2025
Department of Orthopedics, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Peptide-based fluorescent probes have found widespread applications in biomedical research, including bio-imaging, disease diagnosis, drug discovery, and image-guided surgery. Their favorable properties-such as small molecular size, low toxicity, minimal immunogenicity, and high targeting specificity-have contributed to their growing utility in both basic research and translational medicine. This review provides a comprehensive overview of recent advances in peptide-based fluorescent probes, emphasizing design strategies, biological targets, and diverse functional applications.
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