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Antibody-based lateral flow assay (LFA) is a quick and inexpensive tool used to detect pathogens in field samples, especially in hard-to-reach remote areas that may have limited access to central laboratories during an outbreak or surveillance. In this study, we investigated the ability of a commercially available LFA, PenCheck, to detect African swine fever virus (ASFV) in clinical samples derived from pigs infected with highly virulent ASFV strains. The assay was specific and positively identified the majority of pigs showing high fever during the early stages (between 3 and 5 days) of infection. PenCheck LFA also detected ASFV in serum and tissue samples collected from pigs that succumbed to experimental ASFV infection and whole blood, plasma, and tissue samples from the field. The limit of detection of the assay was ASFV titer 10 TCID/mL, corresponding to ASFV real-time PCR values below 23 Ct. Although the sensitivity of the assay is less than that of the laboratory-based real-time PCR assays, the results obtained with the PenCheck LFA in this study suggest that it can be used as a herd-level, field-deployable, and easy-to-use diagnostic tool to identify ASF-affected farms when access to portable molecular assays or central laboratories is not possible.
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http://dx.doi.org/10.3390/pathogens11020138 | DOI Listing |
Microbiol Spectr
September 2025
Institute for Medical Laboratory Diagnostics, Helios University Hospital, Witten/Herdecke University, Wuppertal, Germany.
Carbapenem-resistant organisms (CRO) have rapidly spread worldwide in recent years, posing a significant challenge to both human health and healthcare systems. Timely and accurate detection of CRO, especially carbapenemase-producing and non-fermenters, is crucial for clinical prevention and treatment of these infections. In the present study, we subjected more than 114 multidrug-resistant Gram-negative and non-fermenters to two tests for the timely detection of carbapenemases.
View Article and Find Full Text PDFOpen Forum Infect Dis
September 2025
Department of Epidemiology, University of Washington, Seattle, Washington, USA.
Accurate point-of-care tools are needed to detect early nonadherence to daily HIV regimens and support timely transitions to long-acting options. Emerging evidence suggests that females may require higher adherence than males to achieve equivalent protection. Our next-generation urine tenofovir assay showed high accuracy across sexes but lower urine drug levels among female participants.
View Article and Find Full Text PDFVet World
July 2025
Laboratory of Immunochemistry and Immunobiotechnology, National Center for Biotechnology, 010000, Astana, Kazakhstan.
Background And Aim: Bovine babesiosis, caused by , poses significant economic challenges to Kazakhstan's cattle industry. Early and accurate detection is crucial for interrupting transmission cycles, particularly in regions lacking advanced diagnostic infrastructure. This study aimed to develop a rapid lateral flow immunoassay (LFIA) using a recombinant C-terminal fragment of the recombinant rhoptry-associated protein 1 (rRap1) antigen for the serodiagnosis of bovine babesiosis.
View Article and Find Full Text PDFJ Vet Diagn Invest
September 2025
Biology Department; Faculty of Sciences, Umm Al-Qura University, Makkah, Saudi Arabia.
Lumpy skin disease (LSD) is a viral disease that affects livestock and is caused by the lumpy skin disease virus (LSDV). An outbreak of LSD in any country can lead to acute economic damage for livestock owners. The significance of prompt and accurate diagnosis in managing this viral disease cannot be overstated.
View Article and Find Full Text PDFMed Eng Phys
October 2025
Department of Engineering Science, University of Oxford, United Kingdom. Electronic address:
Traditionally, clinical devices are designed, tested and improved through lengthy and expensive laboratory experiments and clinical trials [1]. More recently, computational methods have allowed for rapid testing, speeding up the design process and enabling far more complete searches of design space. While computational models cannot fully capture the complexities of biological systems, they provide valuable insights into crucial underlying mechanisms, such as the effects of fluid-structure interactions (FSIs).
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