Evidence map›Paper›PMID 39040104›Full record

ArticleFrontiers in immunology2024

Timing of maternal vaccination against COVID-19 for effective protection of neonates: cohort study.

Aleksandra Nowakowska, Seung Mi Lee, Minjee Kim, Jungmin Chun, Sehyun Kim, Byung Chul Kim, Hyun Ju In, Eunji Lee, Chanyeong Lee, Hyeondong Lee and 8 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

18 authors.

Aleksandra Nowakowska *Department of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.
Seung Mi Lee *Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Minjee KimDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.
Jungmin ChunDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.
Sehyun KimDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.
Byung Chul KimKorea Disease Control and Prevention Agency, National Institute of Health, National Institute of Infectious Diseases, Center for Vaccine Research, Division of Vaccine Development Coordination, Cheongju, Republic of Korea.
Hyun Ju InKorea Disease Control and Prevention Agency, National Institute of Health, National Institute of Infectious Diseases, Center for Vaccine Research, Division of Vaccine Development Coordination, Cheongju, Republic of Korea.
Eunji LeeDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.
Chanyeong LeeDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.
Hyeondong LeeDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.
Yuyeon JangDepartment of Bio-industrial Technologies, Konkuk University, Seoul, Republic of Korea.
Hansam ChoKR Biotech Co., Ltd, Seoul, Republic of Korea.
Jinha KimDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.
Jeesun LeeDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hee-Jung LeeDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.
Yoo-Kyoung LeeKorea Disease Control and Prevention Agency, National Institute of Health, National Institute of Infectious Diseases, Center for Vaccine Research, Division of Vaccine Development Coordination, Cheongju, Republic of Korea.
Joong Shin ParkDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Young Bong KimDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although the safety and effectiveness of COVID-19 vaccination during pregnancy have been proven, there is still little data explaining neonatal outcomes of maternal pre-pregnancy vaccination. Methods: Here, we investigated the impact of vaccination and SARS-CoV-2 infection on maternal-neonate immune response in a cohort study involving 141 pregnant individuals, and defined the importance of maternal COVID-19 vaccination timing for its effectiveness. Results and discussion: Our data indicate that vertically transferred maternal hybrid immunity provides significantly better antiviral protection for a neonate than either maternal post-infection or post-vaccination immunity alone. Higher neutralization potency among mothers immunized before pregnancy and their newborns highlights the promising role of pre-pregnancy vaccination in neonatal protection. A comparison of neutralizing antibody titers calculated for each dyad suggests that infection and pre-/during-pregnancy vaccination all support transplacental transfer, providing the offspring with strong passive immunity against SARS-CoV-2. Analysis of neutralizing antibody levels in maternal sera collected during pregnancy and later during delivery shows that immunization may exert a positive effect on maternal protection.

Indexed as

Antibodies, NeutralizingAntibodies, ViralCOVID-19COVID-19 VaccinesImmunity, Maternally-AcquiredPregnancy Complications, InfectiousSARS-CoV-2VaccinationAdultCohort StudiesFemaleHumansInfant, NewbornPregnancyAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesCOVID-19maternal vaccinationpassive immunitypregnancySARS-CoV-2

Identifiers

PMID39040104
PMCPMC11260787

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.