Shipment of COVID-19 specimens within the country or overseas at long distances requires cold chain facility using dry ice and triple packing to prevent the risk of COVID-19 infection to the personnel involved in sample transport. The present study aimed to utilize FTA card technology as an alternate means of sample transport and storage across the country. Twenty-one SARS-CoV-2 lab confirmed samples with different Ct value (High, medium & low) were used to detect viral load in samples loaded on FTA card and further compared with VTM samples. The SARS-CoV-2 RNA was detected by rRT-PCR after storing for 14 days at 4 °C and 37 °C. The present study evaluated the utility of FTA cards for preserving the SARS CoV-2 RNA for 14-day period. A significant difference (P < 0.05) was observed in the cycle threshold (ΔCt 4-5) values obtained from FTA and VTM viral samples but it did not affect the positivity. The SARS-CoV-2 RNA could be recovered efficiently from FTA sample stored at 4 °C and 37 °C for 14 days. Thus, FTA cards could be an alternate option for transporting the samples at ambient temperature for a long time.
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http://dx.doi.org/10.1007/s00284-022-03079-x | DOI Listing |
Virol J
January 2025
Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles for in the Eastern Mediterranean Region, Institut Pasteur de Tunis, University of Tunis El Manar, 13 place Pasteur, BP74 1002 le Belvédère, Tunis, Tunisia.
Background: Primary Immunodeficiency disorders (PID) can increase the risk of severe COVID-19 and prolonged infection. This study investigates the duration of SARS-CoV-2 excretion and the genetic evolution of the virus in pediatric PID patients as compared to immunocompetent (IC) patients.
Materials And Methods: A total of 40 nasopharyngeal and 24 stool samples were obtained from five PID and ten IC children.
Sci Rep
January 2025
Translational and Clinical Research Institute, Newcastle University Medical School, Newcastle upon Tyne, NE2 4HH, GB, United Kingdom.
SARS-CoV-2 is the viral pathogen responsible for COVID-19. Although morbidity and mortality frequently occur as a result of lung disease, the gastrointestinal (GI) tract is recognized as a primary location for SARS-CoV-2. Connections and interactions between the microbiome of the gut and respiratory system have been linked with viral infections via what has been referred to as the 'gut-lung axis' with potential aerodigestive communication in health and disease.
View Article and Find Full Text PDFPLoS One
January 2025
Arizona Humane Society, Phoenix, Arizona, United States of America.
SARS-CoV-2 is the cause of mild to severe acute respiratory disease that led to significant loss of human lives worldwide between 2019 and 2022. The virus has been detected in various animals including cats and dogs making it a major public health concern and a One Health issue. In this study, conjunctival and pharyngeal swabs (n = 350) and serum samples (n = 350) were collected between July and December 2020 from cats that were housed in an animal shelter and tested for the infection of SARS-CoV-2 using real time reverse-transcription polymerase chain reaction (rRT-PCR) that targeted the N1 and N2 genes, and a SARS-CoV-2 surrogate virus neutralization Test (sVNT), respectively.
View Article and Find Full Text PDFJ Med Chem
January 2025
State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, NMPA Key Laboratory for Research and Evaluation of Innovative Drug, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang, Henan 453007, China.
A novel 2'-α-fluoro-2'-β--(fluoromethyl) purine nucleoside phosphoramidate prodrug has been designed and synthesized to treat SARS-CoV-2 infection. The SARS-CoV-2 central replication transcription complex (C-RTC, nsp12-nsp7-nsp8) catalyzed in vitro RNA synthesis was effectively inhibited by the corresponding bioactive nucleoside triphosphate (). The cryo-electron microscopy structure of the C-RTC: complex was also determined.
View Article and Find Full Text PDFJ Gen Virol
January 2025
Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
The complexity and speed of evolution in viruses with RNA genomes makes predictive identification of variants with epidemic or pandemic potential challenging. In recent years, machine learning has become an increasingly capable technology for addressing this challenge, as advances in methods and computational power have dramatically improved the performance of models and led to their widespread adoption across industries and disciplines. Nascent applications of machine learning technology to virus research have now expanded, providing new tools for handling large-scale datasets and leading to a reshaping of existing workflows for phenotype prediction, phylogenetic analysis, drug discovery and more.
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