Trajectories of gene expression, seasonal influenza, and within-host seasonal immunity: transfer value to covid-19
Lund, E.; Holden, M.; Busund, L.-T. R.; Snapkov, I.; Shvetsov, N.; Holden, L.
Show abstract
As a novel approach we will combine trajectories or longitudinal studies of gene expression with information on annual influenza epidemics. Seasonality of gene expression in immune cells from blood could be a consequence of within-host seasonal immunity interacting with the seasonal pandemics of influenza (flu) in temperate regions and, thus, with potential valuable analogy transfer to the proposed seasonal development of covid-19. Here we operationalized within-host immunity as genes with both a significant seasonal term and a significant flu term in the sine-cosine model. Information on gene expression was based on microarray using RNase buffered blood samples collected randomly from a population-based cohort of Norwegian middle-aged women in 2003-2006, The Norwegian Women and Cancer (NOWAC) study. The unique discovery (N=425) and replication (N=432) design were based on identical sampling and preprocessing. Data on proportion of sick leaves due to flu, and the flu intensities per week was obtained from the National Institute of Public Health, giving a semi-ecological analysis. The discovery analysis found 2942 (48.1%) significant genes in a generalized seasonal model over four years. For 1051 within-host genes both the seasonal and the flu term were significant. These genes followed closely the flu intensities. The trajectories showed slightly more genes with a maximum in early winter than in late summer. Moving the flu intensity forward in time indicated a better fit 3-4 weeks before the observed influenza. In the replication analyses, 369 genes (35.1% of 1051) were significant. Exclusion of genes with unknown functions and with more than a season in difference reduced the number of genes in the discovery dataset to 305, illustrating the variability in the measurements and the problem in assessing weak biological relationships. Thus, we found for the first time a clear seasonality in gene expression with marked responses to the annual seasonal influenza in a unique discovery - replication design. Hypothetically, this could support the within-host seasonal immunity concept.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Detection of genes with differential expression dispersion unravels the role of autophagy in cancer progression 93%
- Model guided trait-specific co-expression network estimation as a new perspective for identifying molecular interactions and pathways 93%
- Analyzing cancer gene expression data through the lens of normal tissue-specificity 92%
Similar papers in this journal
- Retrospective analysis of SARS-CoV-2 omicron invasion over delta in French regions in 2021-22: a status-based multi-variant model 92%
- Specific Dynamic Variations in the Peripheral Blood Lymphocyte Subsets in COVID-19 and Severe Influenza A Patients: A Retrospective Observational Study 91%
- COVID-19 Underreporting and its Impact on Vaccination Strategies 90%
Similar papers in this journal
- Identifying cooperative genes causing cancer progression with dynamic causal inference 92%
- A distributed integral control mechanism for the regulation of cholesterol concentration in the human retina. 91%
- Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.