Evidence map›Paper›PMID 34730377›Full record

ArticlemSphere2021

Durable Immunity to Ricin Toxin Elicited by a Thermostable, Lyophilized Subunit Vaccine.

Hayley Novak, Jennifer Doering, Dylan Ehrbar, Oreola Donini, Nicholas J Mantis

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 1 country.

Hayley Novak *Department of Biomedical Sciences, University at Albany, Albany, New York, USA.
Jennifer Doering *Division of Infectious Disease, Wadsworth Centergrid.465543.5, New York State Department of Health, Albany, New York, USA.
Dylan EhrbarDivision of Infectious Disease, Wadsworth Centergrid.465543.5, New York State Department of Health, Albany, New York, USA.
Oreola DoniniSoligenix, Inc., Princeton, New Jersey, USA.
Nicholas J MantisDepartment of Biomedical Sciences, University at Albany, Albany, New York, USA.ORCID 0000-0002-5083-8640
New York State Department of Health · USSoligenix (United States) · USUniversity at Albany, State University of New York · US

Funding

Development of a Preclinical Assay to Predict Efficacy of Ricin Toxin Subunit VaccinesR01AI125190 · NIAID · WADSWORTH CENTER · PI MANTIS, NICHOLAS J. · 2016 to 2020
$4.1M
NIAID NIH HHS HHSN272201400039CNIAID NIH HHS R01 AI125190
6 · The paper itself

Abstract

The development of vaccines against biothreat toxins like ricin (RT) is considered an integral component of the U.S. national security efforts. RiVax is a thermostable, lyophilized RT subunit vaccine adsorbed to aluminum salt adjuvant intended for use by military personnel and first responders. Phase 1 studies indicated that RiVax is safe and immunogenic, while a three-dose intramuscular vaccination regimen in nonhuman primates elicited protection against lethal dose RT challenge by aerosol. Here, we investigated, in a mouse model, the durability of RiVax-induced antibody responses and corresponding immunity to lethal dose RT challenge. Groups of mice were subcutaneously administered 3 or 1 μg of RiVax on days 0 and 21 and challenged with 10× 50% lethal dose (LD

Indexed as

AerosolsAnimalsBioterrorismEpitopesFemaleFreeze DryingInjections, IntramuscularLethal Dose 50MiceMice, Inbred BALB CRicinVaccinesVaccines, SubunitAerosolsEpitopesRicinRiVaxVaccinesVaccines, Subunitbiodefensemousetoxinvaccine

Identifiers

PMID34730377
PMCPMC8565519
OpenAlexW3210525480

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.