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1.
Drug Discov Today ; 29(9): 104125, 2024 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-39097221

RESUMEN

Influenza still poses a significant challenge due to its high mutation rates and the low effectiveness of traditional vaccines. At present, antibodies that neutralize the highly variable hemagglutinin antigen are a major driver of the observed variable protection. To decipher how influenza vaccines can be improved, an analysis of licensed vaccine platforms was conducted, contrasting the strengths and limitations of their different mechanisms of protection. Through this review, it is evident that these vaccines do not elicit the robust cellular immune response critical for protecting high-risk groups. Emerging platforms, such as RNA vaccines, that induce robust cellular responses that may be additive to the recognized mechanism of protection through hemagglutinin inhibition may overcome these constraints to provide broader, protective immunity. By combining both humoral and cellular responses, such platforms could help guide the future influenza vaccine development.


Asunto(s)
Vacunas contra la Influenza , Gripe Humana , Humanos , Vacunas contra la Influenza/inmunología , Vacunas contra la Influenza/administración & dosificación , Gripe Humana/prevención & control , Gripe Humana/inmunología , Animales , Inmunidad Celular/inmunología , Vacunación/métodos , Desarrollo de Vacunas/métodos , Inmunidad Humoral/inmunología
2.
Am J Epidemiol ; 2023 Nov 15.
Artículo en Inglés | MEDLINE | ID: mdl-37968375

RESUMEN

The spread of SARS-CoV-2 since late 2019 represented an unprecedented public health emergency, which included a need to fully understand COVID-19 disease across all ages and populations. In response, the US National Institute of Allergy and Infectious Diseases (NIAID) rapidly funded epidemiology studies that monitored COVID-19. However, the diversity and breadth of the populations studied in NIAID-funded COVID-19 observational cohorts were not easy to extrapolate because of siloed approaches to collect and report data within NIAID. Here, we describe the effort to develop a harmonized cohort study reporting tool that includes common epidemiological data elements as well as NIAID priorities. We report its implementation to analyze metadata from 58 COVID-19 cohort studies funded February 2020 to June 2021, visualize key metadata including geographic distribution, study duration, participant demographics, sample types collected, and scientific priorities addressed. A bibliographic analysis highlights the scientific publications and citations across these funded studies and demonstrates their enormous impact on the COVID-19 field. These analyses highlight how common data elements and reporting tools can assist funding agencies to capture the landscape and potential gaps during public health responses and how they can assist in decision making.

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