Decoding Immune Dynamics in Pregnant Women: Key Gene Expression Changes Following Influenza Vaccination

Pregnant women are at an increased risk of severe influenza complications, necessitating vaccination as a preventive measure. Despite World Health Organization (WHO) recommendations for influenza vaccination during pregnancy, vaccination rates remain suboptimal in many regions. This study aims to identify key differentially expressed genes (DEGs) and biological pathways modulated by influenza vaccination in pregnant women pre- and post-vaccination, contributing to improved vaccine strategies. Microarray data from gene expression omnibus GEO dataset GSE166545 was analyzed to identify DEGs in blood samples from pregnant women at three time points: pre-vaccination (Day 0) and post-vaccination (Days 0 and 1) (Days 1 and 7). DEGs were filtered using an adjusted <i>p</i>-value < 0.05 and |log2 fold change| ≥ 1. Protein/protein interaction (PPI) networks, hub gene identification, and pathway enrichment analyses were conducted using STRING, Cytoscape, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome databases. Hub gene validation was performed using the Human Protein Atlas (HPA) and GTEx Portal. The GSE166545 dataset analysis revealed 60 up-regulated and 12,854 down-regulated genes (Day 1 vs. 7), 55 up-regulated and 12,933 down-regulated genes (Day 0 vs. 1), and two up-regulated with no down-regulated genes (Day 0 vs. 7). Key pathways included interferon alpha/beta (IFN-γ\ β) signaling and toll-like receptor signaling (TLR). Hub genes such as GBP1, CXCL10, RSAD2, and IFI44 demonstrated robust up-regulation, correlating with enhanced immune responses. The initial observation of JCHAIN's notable up-regulation occurred on the seventh day following vaccination. Validation confirmed these genes' roles in antiviral defense mechanisms and vaccine responses. The findings reveal distinct immune response dynamics in pregnant women following influenza vaccination, highlighting potential biomarkers for vaccine efficacy. This study underscores the importance of tailored vaccine strategies to improve maternal and neonatal outcomes.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-04-16
DOI
https://doi.org/10.3390/ijms26083765
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Decoding Immune Dynamics in Pregnant Women: Key Gene Expression Changes Following Influenza Vaccination

Razaz Abdulaziz Felemban, Lienda Bashier Eltayeb, Alaa A. Mohamed, Esra’a Abudouleh et al.
International Journal of Molecular Sciences
Influenza Virus Research Studies
article

Decoding Immune Dynamics in Pregnant Women: Key Gene Expression Changes Following Influenza Vaccination

Razaz Abdulaziz Felemban, Lienda Bashier Eltayeb, Alaa A. Mohamed, Esra’a Abudouleh, Rasha Elsayim, Manal M. Alkhulaifi, Hanan O. Alshammari, Abeer S. Aloufi
article en

Abstract

Pregnant women are at an increased risk of severe influenza complications, necessitating vaccination as a preventive measure. Despite World Health Organization (WHO) recommendations for influenza vaccination during pregnancy, vaccination rates remain suboptimal in many regions. This study aims to identify key differentially expressed genes (DEGs) and biological pathways modulated by influenza vaccination in pregnant women pre- and post-vaccination, contributing to improved vaccine strategies. Microarray data from gene expression omnibus GEO dataset GSE166545 was analyzed to identify DEGs in blood samples from pregnant women at three time points: pre-vaccination (Day 0) and post-vaccination (Days 0 and 1) (Days 1 and 7). DEGs were filtered using an adjusted <i>p</i>-value < 0.05 and |log2 fold change| ≥ 1. Protein/protein interaction (PPI) networks, hub gene identification, and pathway enrichment analyses were conducted using STRING, Cytoscape, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome databases. Hub gene validation was performed using the Human Protein Atlas (HPA) and GTEx Portal. The GSE166545 dataset analysis revealed 60 up-regulated and 12,854 down-regulated genes (Day 1 vs. 7), 55 up-regulated and 12,933 down-regulated genes (Day 0 vs. 1), and two up-regulated with no down-regulated genes (Day 0 vs. 7). Key pathways included interferon alpha/beta (IFN-γ\ β) signaling and toll-like receptor signaling (TLR). Hub genes such as GBP1, CXCL10, RSAD2, and IFI44 demonstrated robust up-regulation, correlating with enhanced immune responses. The initial observation of JCHAIN's notable up-regulation occurred on the seventh day following vaccination. Validation confirmed these genes' roles in antiviral defense mechanisms and vaccine responses. The findings reveal distinct immune response dynamics in pregnant women following influenza vaccination, highlighting potential biomarkers for vaccine efficacy. This study underscores the importance of tailored vaccine strategies to improve maternal and neonatal outcomes.

International Journal of Molecular SciencesVol. 26(8)
Princess Nourah bint Abdulrahman University (SA), Northern Border University (SA), Prince Sattam Bin Abdulaziz University (SA), University of Khartoum (SD), King Saud bin Abdulaziz University for Health Sciences (SA), King Saud University (SA), King Abdullah International Medical Research Center (SA)
Northern Border University
Good health and well-being
Openalex Percentile: Top 89%
Influenza Virus Research Studies
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