The ongoing COVID-19 pandemic caused by SARS-CoV-2 has raised global concern for public health and economy. The development of therapeutics and vaccines to combat this virus is continuously progressing. Multi-omics approaches, including genomics, transcriptomics, proteomics, metabolomics, epigenomics and metallomics, have helped understand the structural and molecular features of the virus, thereby assisting in the design of potential therapeutics and accelerating vaccine development for COVID-19. Here, we provide an up-to-date overview of the latest applications of multi-omics technologies in strategies addressing COVID-19, in order to provide suggestions towards the development of highly effective knowledge-based therapeutics and vaccines.
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http://dx.doi.org/10.1093/nsr/nwad161 | DOI Listing |
Biotechnol J
January 2025
School of Chemical and Bioprocess Engineering, University College Dublin, Dublin, Ireland.
Adeno-associated virus (AAV) is a versatile viral vector technology that can be engineered for specific functionality in vaccine and gene therapy applications. One of the major challenges in AAV production is the need for a GMP-ready platform-based approach to downstream processing, as this would lead to a standardized method for multiple products. Chromatography has huge potential in AAV purification, as it is a scalable method that would enable manufacturing to a high degree of purity, potency, and consistency.
View Article and Find Full Text PDFHum Vaccin Immunother
December 2025
Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China.
Hepatitis B (Hep B) remains a critical public health issue globally, particularly in Tibet, where vaccination rates and influencing factors among college students are yet understudied. This study applies a cross-sectional design to investigate the Hep B vaccination rate among 1,126 college students in Tibet and utilizes the expanded theory of planned behavior (ETPB) to identify vaccination behavior intention (BI) and vaccination behavior (VB). Stratified cluster sampling across three universities was used to assess behavioral attitudes (BA), subjective norms (SN), perceived behavioral control (PBC), past vaccination history (PVH) and vaccination knowledge (VK), and used structural equation modeling (SEM) for model validation and multi-group comparison.
View Article and Find Full Text PDFJ Med Virol
January 2025
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Mathematical models of viral dynamics are crucial in understanding infection trajectories. However, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load data often includes limited sparse observations with significant heterogeneity. This study aims to: (1) understand the impact of patient characteristics in shaping the temporal viral load trajectory and (2) establish a data collection protocol (DCP) to reliably reconstruct individual viral load trajectories.
View Article and Find Full Text PDFJ Med Virol
January 2025
Centro Internacional de Vacunas, Cali, Colombia.
A total of 5011 adult volunteers attending vaccination centers in different regions of Colombia were enrolled in a 1-year prospective observational cohort study to evaluate the immunogenicity and effectiveness of SARS-CoV-2-based vaccines as part of a National Vaccine Program established to contain the COVID-19 pandemic. Following informed consent, 5,011 participants underwent a sociodemographic survey and PCR testing to assess SARS-CoV-2 infection. Blood samples were collected, and serum fractions were obtained from a participant subsample (n = 3441) at six-time points to assess virus-specific IgG responses to the Spike protein, its Receptor Binding Domain, and the Nucleoprotein by ELISA.
View Article and Find Full Text PDFCurr Med Chem
January 2025
Shree S K Patel College of Pharmaceutical Education and Research, Ganpat University, Mahesana, Gujarat, 384012, India.
Therapeutic hurdles persist in the fight against lung cancer, although it is a leading cause of cancer-related deaths worldwide. Results are still not up to par, even with the best efforts of conventional medicine, thus new avenues of investigation are required. Examining how immunotherapy, precision medicine, and AI are being used to manage lung cancer, this review shows how these tools can change the game for patients and increase their chances of survival.
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