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Lipid nanoparticles deliver DNA-encoded biologics and induce potent protective immunity.

Mol Cancer

January 2025

Department of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA.

Lipid nanoparticles (LNPs) for mRNA delivery have advanced significantly, but LNP-mediated DNA delivery still faces clinical challenges. This study compared various LNP formulations for delivering DNA-encoded biologics, assessing their expression efficacy and the protective immunity generated by LNP-encapsulated DNA in different models. The LNP formulation used in Moderna's Spikevax mRNA vaccine (LNP-M) demonstrated a stable nanoparticle structure, high expression efficiency, and low toxicity.

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Background: The UK's National Health Service Test and Trace (NHSTT) program aimed to provide the most effective and accessible SARS-CoV-2 testing approach possible. Early user feedback indicated that there were accessibility issues associated with throat swabbing. We report the results of service evaluations performed by NHSTT to assess the effectiveness and user acceptance of swabbing approaches, as well as qualitative findings of user experiences from research reports, surveys, and incident reports.

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SARS-CoV-2 excretion and genetic evolution in nasopharyngeal and stool samples from primary immunodeficiency and immunocompetent pediatric patients.

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.

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Background: The integration of procedure-specific risks into preoperative patient assessment and optimization are crucial aspects of perioperative care. However, data on internists' knowledge of surgical and anesthetic principles and practices are limited. We thus sought to identify internists' knowledge gaps in terms of surgical- and anesthetic-specific risk factors and characteristics.

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Background: This systematic review aims to explore the early predictive value of machine learning (ML) models for the progression of gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM).

Methods: A comprehensive and systematic search was conducted in Pubmed, Cochrane, Embase, and Web of Science up to July 02, 2024. The quality of the studies included was assessed.

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