Virus Effects on Host Gene Expression

Overview

Virus effects on host gene expression describe the many ways in which a virus, once it has infected a cell, alters which of the host's genes are switched on or off and how strongly they are expressed. Because viruses cannot replicate on their own, they hijack the host cell's machinery, and in doing so they commonly reprogramme cellular gene activity, suppressing antiviral defences, redirecting resources toward producing viral components, and triggering or evading immune and stress responses. These changes can disrupt normal cell function and contribute to disease, and studying them reveals how infections cause illness and where antiviral interventions might act. The journal Current Viruses and Treatment Methodologies publishes peer-reviewed research on viruses, their interactions with hosts, and approaches to treatment. This page presents an encyclopedic overview of how viruses influence host gene expression, tied to the journal's broad focus on virology; the available research does not include a study focused specifically on virus-induced changes in host gene expression, so no individual article is cited here. This page gathers open-access scholarship relevant to virology and viral disease, supporting evidence-based understanding of how viruses interact with the cells they infect and reshape host cellular activity.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

How this research is being cited

The 1 article above has been cited 11 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

• Changes in Solo and Partnered Sexual Behaviors following the First COVID-19 Wave: Data from an International Study of 26 Countries
  D. Hensel et al. · 2023 · International Journal of Sexual Health
• Exploring Socioeconomic Status as a Global Determinant of COVID-19 Prevalence, Using Exploratory Data Analytic and Supervised Machine Learning Techniques: Algorithm Development and Validation Study
  Luke Winston et al. · 2022 · JMIR Formative Research
• Usage of Country Evaluations for Sustainable Supplier Selection
  2022 · Progress in IS
• Exploring Socioeconomic Status as a Global Determinant of COVID-19 Prevalence, Using Exploratory Data Analytic and Supervised Machine Learning Techniques: Algorithm Development and Validation Study
  2022 · JMIR Formative Research
• Investigating the Effect of Economic and Social Factors on the Spread of Covid-19 Epidemic in the World by Factor Analysis Method
  Hassan Daliri et al. · 2021 · Health & Research Journal
• Supervised machine learning based prediction of 2021 cross-national COVID-19 prevalence rates using historical infection data and socioeconomic indicators. (Preprint)
  Luke Winston et al. · 2021 ·
• ‘Exploring socioeconomic status as a global determinant of COVID-19 prevalence, using statistical, exploratory data analytic, and supervised machine learning techniques.’ (Preprint)
  2021 ·
• Investigating the Effect of Economic and Social Factors on the Spread of Covid-19 Epidemic in the World by Factor Analysis Method
  2021 · Health Research Journal

A sample of recent works citing this journal's research on Virus Effects on Host Gene Expression, linking to each citing work.

This page summarises published research for orientation; it is not medical or professional advice.

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