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Brucellosis is a zoonotic disease caused by bacteria of the Brucella genus. This study investigates the development of a multi-epitope mRNA vaccine aimed at combating Brucella infections. The approach involves selecting the architecture of the pathogenic type IV secretion system (T4SS) of Brucella using bioinformatics tools and reverse vaccinology methodologies. The candidate proteins chosen for this vaccine include VirB2, VirB3, and VirB6, along with the effector protein BtpA. Key findings include robust antigenicity scores for the candidate proteins (VirB2:0.5685; VirB3:0.5329;VirB6:0.5054;BtpA:0.5575).A variety of tools were essential for identifying potential epitopes suitable for incorporation into the mRNA vaccine, as well as for utilizing appropriate linkers for docking. Molecular dynamics simulations confirmed stable interactions between the vaccine and TLR4, with a docking score of - 350.15. Furthermore, computer cloning methods were employed alongside simulated gel electrophoresis to ensure a comprehensive evaluation of the vaccine's properties. The results of this investigation indicate that the newly formulated mRNA vaccine effectively stimulates an immune response, presenting innovative strategies for prevention and management. Although comprehensive evaluations of vaccine design have been conducted using bioinformatics tools and molecular simulations, certain limitations still exist, primarily manifested in the reliance on computational predictions without validation from wet lab experiments. Future research must further verify the accuracy of computational results through laboratory experiments.
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http://dx.doi.org/10.1038/s41598-025-09509-7 | DOI Listing |
Biotechnol Adv
September 2025
Key Laboratory of Microbiological Metrology, Measurement & Bio-product Quality Security, State Administration for Market Regulation, China Jiliang University, Hangzhou 310018, China. Electronic address:
Nanopore direct RNA sequencing (DRS) is a transformative technology that enables full-length, single-molecule sequencing of native RNA, capturing transcript isoforms and preserving epitranscriptomic modifications without cDNA conversion. This review outlines key advances in DRS, including optimized protocols for mRNA, rRNA, tRNA, circRNA, and viral RNA, as well as analytical tools for isoform quantification, poly(A) tail measurement, fusion transcript identification, and base modification profiling. We highlight how DRS has redefined transcriptomic studies across diverse systems-from uncovering novel transcripts and alternative splicing events in cancer, plants, and parasites to enabling the direct detection of m6A, m5C, pseudouridine, and RNA editing events.
View Article and Find Full Text PDFVaccine
September 2025
Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Background: Covid-19 vaccines are updated to match circulating strains based on reasoning that better strain-matched immunogenicity should provide better protection. Randomized evidence with disease endpoints to support strain matching is lacking. We evaluated COVID-19 incidence among adults randomized to a second booster of Prototype or Omicron-based vaccines.
View Article and Find Full Text PDFMol Ther
September 2025
Sanofi, Waltham, MA, USA.
Since its use during the COVID-19 pandemic, mRNA has emerged as a leading candidate vaccine platform for pandemic infections. A critical difference between RNA-encoded antigen and protein vaccines is that RNA-based vaccines require the antigen to be translated in the body, adding an important variable. Much of the research focus in the field has been on ways to increase expression, but inflammation plays a critical role.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, No. 100 Waihuanxi Road, Guangzhou 510006, China.
The 5' untranslated region (5'UTR) plays a crucial regulatory role in messenger RNA (mRNA), with modified 5'UTRs extensively utilized in vaccine production, gene therapy, etc. Nevertheless, manually optimizing 5'UTRs may encounter difficulties in balancing the effects of various cis-elements. Consequently, multiple 5'UTR libraries have been created, and machine learning models have been employed to analyze and predict translation efficiency (TE) and protein expression, providing insights into critical regulatory features.
View Article and Find Full Text PDFAllergol Immunopathol (Madr)
September 2025
Faculty of Medicine, University of Prishtina, University Clinical Center of Kosovo, Prishtina, Republic of Kosovo.
Objective: The aim of this study was to assess the association between allergic reactions after COVID-19 vaccination and the history of high-risk allergy, individual predisposing factors such as age and gender, and COVID-19 vaccine type.
Materials And Methods: This retrospective cohort study included 234 adult patients (18 years old and above) who underwent a COVID-19 vaccine allergy test up until February 2023 in a Clinic of Allergy and Clinical Immunology in the University Clinical Center of Kosovo. All patients suspected of allergy underwent skin testing: SPT (skin prick test) and IDT (intradermal test) using either an mRNA (ribonucleic messenger acid) vaccine (BNT162b2, Pfizer-BioNTech) and/or an adenoviral vector vaccine (AZD1222, AstraZeneca).