98%
921
2 minutes
20
Metagenomics is gradually being implemented for diagnosing infectious diseases. However, in-depth protocol comparisons for viral detection have been limited to individual sets of experimental workflows and laboratories. In this study, we present a benchmark of metagenomics protocols used in clinical diagnostic laboratories initiated by the European Society for Clinical Virology (ESCV) Network on NGS (ENNGS). A mock viral reference panel was designed to mimic low biomass clinical specimens. The panel was used to assess the performance of twelve metagenomic wet lab protocols currently in use in the diagnostic laboratories of participating ENNGS member institutions. Both Illumina and Nanopore, shotgun and targeted capture probe protocols were included. Performance metrics sensitivity, specificity, and quantitative potential were assessed using a central bioinformatics pipeline. Overall, viral pathogens with loads down to 10 copies/ml (corresponding to C values of 31 in our PCR assays) were detected by all the evaluated metagenomic wet lab protocols. In contrast, lower abundant mixed viruses of C values of 35 and higher were detected only by a minority of the protocols. Considering the reference panel as the gold standard, optimal thresholds to define a positive result were determined per protocol, based on the horizontal genome coverage. Implementing these thresholds, sensitivity and specificity of the protocols ranged from 67 to 100 % and 87 to 100 %, respectively. A variety of metagenomic protocols are currently in use in clinical diagnostic laboratories. Detection of low abundant viral pathogens and mixed infections remains a challenge, implying the need for standardization of metagenomic analysis for use in clinical settings.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jcv.2024.105695 | DOI Listing |
Int J Pharm
September 2025
School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, United Kingdom. Electronic address:
Nanocrystals (NCs), nano-sized drug particles, offer a promising strategy to enhance the bioavailability of poorly soluble compounds, a challenge that affects 70-90 % of new chemical entities. Among the available production methods, wet media milling is widely adopted due to its scalability and efficiency. However, conventional lab-scale mills often require large suspension volumes and high amounts of drug, limiting their suitability for early-stage development, particularly with novel or scarce compounds.
View Article and Find Full Text PDFUnlabelled: Ticks pose substantial threats to public health. Blacklegged ticks ( ) are responsible for most tick-borne diseases in the US, transmitting seven human pathogens. Molecular surveillance for tick-borne pathogens has been outpaced by their emergence, revealing a critical need to develop agnostic strategies that characterize emerging and putative pathogens.
View Article and Find Full Text PDFChem Soc Rev
September 2025
TUMint. Energy Research GmbH, Lichtenbergstr. 4, Garching 85747, Germany.
The current most mature, competitive, and dominant battery technology for electric vehicles (EVs) is the Li-ion battery (LIB). As future EVs will rely on battery technology, further innovation is essential for the success of mobility electrification towards improving the driving range and reducing the charging time and price competitiveness. The commonly cited next generation technologies are hybrid and solid-state batteries (SSBs) enabling high energy densities using lithium.
View Article and Find Full Text PDFJ Cell Mol Med
September 2025
Institute of Cellular Biology and Pathology "Nicolae Simionescu", Bucharest, Romania.
Calcific aortic valve disease (CAVD) is a growing global health burden, with no approved pharmacological treatments to date, indicating a substantial therapeutic gap and the need for deeper insight into its underlying mechanisms. Transcriptomic approaches, particularly RNA sequencing (RNAseq) and single-cell sequencing (scRNAseq), are emerging as powerful tools for unravelling the complex biology of the aortic valve (AV) in both normal and diseased states. This review summarises recent advances in our understanding of AV structure and function, with emphasis on valvular cell plasticity, heterogeneity and intercellular interactions-especially between valvular endothelial cells (VECs) and monocytes under physiological and pathological conditions.
View Article and Find Full Text PDFNucleic Acids Res
August 2025
Sorbonne Université, CNRS, Department of Computational, Quantitative and Synthetic Biology-CQSB, 75005 Paris, France.
Generative probabilistic models have shown promise in designing artificial RNA and protein sequences but often suffer from high rates of false positives, where sequences predicted as functional fail experimental validation. To address this critical limitation, we explore the impact of reintegrating experimental feedback into the model design process. We propose a likelihood-based reintegration scheme, which we test through extensive computational experiments on both RNA and protein datasets, as well as through wet-lab experiments on the self-splicing ribozyme from the Group I intron RNA family where our approach demonstrates particular efficacy.
View Article and Find Full Text PDF