Evidence map›Paper›PMID 40332395›Full record

ArticleInternational journal of molecular sciences2025

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

Rasha Elsayim, Manal M Alkhulaifi, Abeer S Aloufi, Razaz Abdulaziz Felemban, Lienda Bashier Eltayeb, Asawir Esamaldeen Ebrahim Mohamed, Hanan O Alshammari, Esra'a Abudouleh

Abstract read
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In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rasha ElsayimDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Manal M AlkhulaifiDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-5040-6303
Abeer S AloufiDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0002-7712-0313
Razaz Abdulaziz FelembanDepartment of Basic Medical Sciences, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Jeddah 22384, Saudi Arabia.
Lienda Bashier EltayebDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
Asawir Esamaldeen Ebrahim MohamedDepartment of Genetics and Animal Breeding, Faculty of Animal Production, University of Khartoum, Khartoum 13314, Sudan.
Hanan O AlshammariDepartment of Pharmaceutics, College of Pharmacy, Northern Border University, Rafha 76321, Saudi Arabia.
Esra'a AbudoulehDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-8922-0143

Funding

Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2025R357), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. Project number (PNURSP2025R357)The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA for funding this research work through the project number NBU-FFR-2025-293-01. project number NBU-FFR-2025-293-01.
6 · The paper itself

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

Indexed as

Gene Expression RegulationInfluenza, HumanInfluenza VaccinesFemaleGene Expression ProfilingGene Regulatory NetworksHumansPregnancyProtein Interaction MapsTranscriptomeVaccinationInfluenza Vaccineshub genesinfluenzainterferon pathwaypregnant womentranscriptomic analysisvaccine

Identifiers

PMID40332395
PMCPMC12027590

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.