Evidence map›Paper›PMID 31915303›Full record

ArticleScience translational medicine2020

Nucleoside-modified mRNA vaccination partially overcomes maternal antibody inhibition of de novo immune responses in mice.

Elinor Willis, Norbert Pardi, Kaela Parkhouse, Barbara L Mui, Ying K Tam, Drew Weissman, Scott E Hensley

Open access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

39 citing papers in PubMed, 56 citations in OpenAlex.

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  13. Non-Viral RNA Delivery During Pregnancy: Opportunities and Challenges.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  14. Neonatal SARS-CoV-2 mRNA Vaccination Efficacy Is Influenced by Maternal Antibodies.American journal of reproductive immunology (New York, N.Y. : 1989) · 2024
    Article
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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

7 authors at 2 institutions in 2 countries.

Elinor WillisDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-0588-9964
Norbert PardiDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-1008-6242
Kaela ParkhouseDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Barbara L MuiAcuitas Therapeutics, Vancouver, BC V6T 1Z3, Canada.
Ying K TamAcuitas Therapeutics, Vancouver, BC V6T 1Z3, Canada.
Drew WeissmanDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-1501-6510
Scott E HensleyDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. hensley@pennmedicine.upenn.edu.ORCID 0000-0002-2928-7506
University of Pennsylvania · USAcuitas Therapeutics (Canada) · CA

Funding

Immune System Development and RegulationT32AI055428 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ALLMAN, DAVID M, OLIVER, PAULA MARIA · 2003 to 2025
$4.2M
Impact of prior influenza exposures on antibody repertoires to new viral strainsR01AI108686 · NIAID · WISTAR INSTITUTE · PI HENSLEY, SCOTT ERIC · 2014 to 2022
$3.7M
RNA DELIVERY FOR DENDRITIC CELL HIV ANTIGEN PREVENTIONR01AI050484 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI WEISSMAN, DREW · 2002 to 2011
$3.6M
VMD-PhD Training in Infectious Disease-Related ResearchT32AI070077 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Michael Lee Atchison · 2008 to 2026
$3.5M
Nucleoside modified mRNA based HIV vaccineR01AI124429 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI WEISSMAN, DREW · 2016 to 2019
$3.4M
The effect of human pre-exposure history on antigenic drift of influenza virusesR01AI113047 · NIAID · WISTAR INSTITUTE · PI HENSLEY, SCOTT ERIC · 2014 to 2018
$2.5M
NIAID NIH HHS R01 AI050484NIAID NIH HHS R01 AI108686NIAID NIH HHS R01 AI113047NIAID NIH HHS R01 AI124429NIAID NIH HHS T32 AI055428NIAID NIH HHS T32 AI070077
6 · The paper itself

Abstract

Maternal antibodies provide short-term protection to infants against many infections. However, they can inhibit de novo antibody responses in infants elicited by infections or vaccination, leading to increased long-term susceptibility to infectious diseases. Thus, there is a need to develop vaccines that are able to elicit protective immune responses in the presence of antigen-specific maternal antibodies. Here, we used a mouse model to demonstrate that influenza virus-specific maternal antibodies inhibited de novo antibody responses in mouse pups elicited by influenza virus infection or administration of conventional influenza vaccines. We found that a recently developed influenza vaccine, nucleoside-modified mRNA encapsulated in lipid nanoparticles (mRNA-LNP), partially overcame this inhibition by maternal antibodies. The mRNA-LNP influenza vaccine established long-lived germinal centers in the mouse pups and elicited stronger antibody responses than did a conventional influenza vaccine approved for use in humans. Vaccination with mRNA-LNP vaccines may offer a promising strategy for generating robust immune responses in infants in the presence of maternal antibodies.

Indexed as

Antibody FormationNucleosidesRNA, MessengerVaccinationAdjuvants, ImmunologicAnimalsAntibodies, ViralDisease Models, AnimalFemaleGerminal CenterHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesLipidsMiceMice, Inbred BALB CMice, Inbred C57BLAdjuvants, ImmunologicAntibodies, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesLipidsNucleosidesRNA, Messenger

Identifiers

PMID31915303
PMCPMC7339908
OpenAlexW3000062036

What OpenQuestion holds

Textmetadata
LicenceTDM
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.