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Understanding Immune Responses to Viruses-Do Underlying Th1/Th2 Cell Biases Predict Outcome?
Howard, Faith H N; Kwan, Amy; Winder, Natalie; Mughal, Amina; Collado-Rojas, Cristal; Muthana, Munitta.
  • Howard FHN; Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK.
  • Kwan A; Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK.
  • Winder N; Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK.
  • Mughal A; Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK.
  • Collado-Rojas C; Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK.
  • Muthana M; Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK.
Viruses ; 14(7)2022 07 08.
Article in English | MEDLINE | ID: covidwho-1928657
ABSTRACT
Emerging and re-emerging viral diseases have increased in number and geographical extent during the last decades. Examples include the current COVID-19 pandemic and the recent epidemics of the Chikungunya, Ebola, and Zika viruses. Immune responses to viruses have been well-characterised within the innate and adaptive immunity pathways with the outcome following viral infection predominantly attributed to properties of the virus and circumstances of the infection. Perhaps the belief that the immune system is often considered as a reactive component of host defence, springing into action when a threat is detected, has contributed to a poorer understanding of the inherent differences in an individual's immune system in the absence of any pathology. In this review, we focus on how these host factors (age, ethnicity, underlying pathologies) may skew the T helper cell response, thereby influencing the outcome following viral infection but also whether we can use these inherent biases to predict patients at risk of a deviant response and apply strategies to avoid or overcome them.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Virus Diseases / Zika Virus / Zika Virus Infection / COVID-19 Type of study: Prognostic study / Systematic review/Meta Analysis Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: V14071493

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Virus Diseases / Zika Virus / Zika Virus Infection / COVID-19 Type of study: Prognostic study / Systematic review/Meta Analysis Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: V14071493