Evidence map›Paper›PMID 38932387›Full record

ArticleVaccines2024

COVID-19 Vaccination in Pregnancy: Pilot Study of Plasma MicroRNAs Associated with Inflammatory Cytokines after COVID-19 mRNA Vaccination.

Ching-Ju Shen, Yen-Pin Lin, Wei-Chun Chen, Mei-Hsiu Cheng, Jun-Jie Hong, Shu-Yu Hu, Ching-Fen Shen, Chao-Min Cheng

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

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No citing paper in PubMed yet.

4 · The record

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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.

Ching-Ju ShenDepartment of Obstetrics and Gynecology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan.ORCID 0000-0002-9975-4210
Yen-Pin LinInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 300, Taiwan.
Wei-Chun ChenInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 300, Taiwan.ORCID 0000-0002-6515-0996
Mei-Hsiu ChengTaiwan Business Development Department, Inti Taiwan, Inc., Hsinchu 302, Taiwan.
Jun-Jie HongTaiwan Business Development Department, Inti Taiwan, Inc., Hsinchu 302, Taiwan.
Shu-Yu HuInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 300, Taiwan.
Ching-Fen ShenDepartment of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0000-0001-5926-0462
Chao-Min ChengInstitute of Biomedical Engineering, National Tsing Hua University, Hsinchu 300, Taiwan.ORCID 0000-0002-8644-1960

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of mRNA COVID-19 vaccines on the immunological profiles of pregnant women remains a crucial area of study. This research aims to explore the specific immunological changes triggered by these vaccines in this demographic.

methodsIn a focused investigation, we examined the effects of mRNA COVID-19 vaccination on microRNA expression in pregnant women. Key microRNAs, including miR-451a, miR-23a-3p, and miR-21-5p, were analyzed for expression changes post-vaccination. Additionally, we assessed variations in S1RBD IgG levels and specific cytokines to gauge the broader immunological response.

resultsPost-vaccination, significant expression shifts in the targeted microRNAs were observed. Alongside these changes, we noted alterations in S1RBD IgG and various cytokines, indicating an adapted inflammatory response. Notably, these immunological markers displayed no direct correlation with S1RBD IgG concentrations, suggesting a complex interaction between the vaccine and the immune system in pregnant women.

conclusionsOur pilot study provides valuable insights into the nuanced effects of the mRNA COVID-19 vaccine on immune dynamics in pregnant women, particularly emphasizing the role of microRNAs. The findings illuminate the intricate interplay between vaccines, microRNAs, and immune responses, enhancing our understanding of these relationships in the context of pregnancy. This research contributes significantly to the growing body of knowledge regarding mRNA COVID-19 vaccines and their specific impact on maternal immunology, offering a foundation for further studies in this vital area.

Indexed as

COVID-19 vaccinecytokinemicroRNAmRNA vaccinepregnancyS1RBD IgG

Identifiers

PMID38932387
PMCPMC11209245

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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.