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Systemic immunometabolism and responses to vaccines: insights from T and B cell perspectives.
Nettelfield, Sam; Yu, Di; Cañete, Pablo F.
Afiliação
  • Nettelfield S; Frazer Institute, Faculty of Medicine, University of Queensland, Brisbane, Queensland 4072, Australia.
  • Yu D; Frazer Institute, Faculty of Medicine, University of Queensland, Brisbane, Queensland 4072, Australia.
  • Cañete PF; Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, University of Queensland, Brisbane, Queensland 4072, Australia.
Int Immunol ; 35(12): 571-582, 2023 Dec 23.
Article em En | MEDLINE | ID: mdl-37330692
ABSTRACT
Vaccination stands as the cornerstone in the battle against infectious diseases, and its efficacy hinges on several host-related factors like genetics, age, and metabolic status. Vulnerable populations, such as malnourished individuals, the obese, and the elderly, commonly exhibit diminished vaccine responses and efficacy. While the specific factors contributing to this impairment may vary, these individuals typically display a degree of metabolic dysregulation, thereby underscoring its potential significance as a fundamental determinant of suboptimal vaccine responses. The emerging field of immunometabolism aims to unravel the intricate interplay between immune regulation and metabolic pathways, and recent research has revealed diverse metabolic signatures linked to various vaccine responses and outcomes. In this review, we summarize the major metabolic pathways utilized by B and T cells during vaccine responses, their complex and varied metabolic requirements, and the impact of micronutrients and metabolic hormones on vaccine outcomes. Furthermore, we examine how systemic metabolism influences vaccine responses and the evidence suggesting that metabolic dysregulation in vulnerable populations can lead to impaired vaccine responses. Lastly, we reflect on the challenge of proving causality with respect to the contribution of metabolic dysregulation to poor vaccine outcomes, and highlight the need for a systems biology approach that combines multimodal profiling and mathematical modelling to reveal the underlying mechanisms of such complex interactions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article