Evidence map›Paper›PMID 34926633›Full record

ArticleFrontiers in veterinary science2021

CAvant® WO-60 as an Effective Immunological Adjuvant for Avian Influenza and Newcastle Disease Vaccine.

Eun-Seo Lee, Young-Jung Shim, W A Gayan Chathuranga, Young-Hoon Ahn, In-Joong Yoon, Sung-Sik Yoo, Jong-Soo Lee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 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
0.5field-weighted citation impact, top 34% 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

7 authors at 1 institution in 1 country.

Eun-Seo LeeCollege of Veterinary Medicine, Chungnam National University, Daejeon, South Korea.
Young-Jung ShimChoong Ang Vaccine Laboratory Co., Ltd., Daejeon, South Korea.
W A Gayan ChathurangaCollege of Veterinary Medicine, Chungnam National University, Daejeon, South Korea.
Young-Hoon AhnChoong Ang Vaccine Laboratory Co., Ltd., Daejeon, South Korea.
In-Joong YoonChoong Ang Vaccine Laboratory Co., Ltd., Daejeon, South Korea.
Sung-Sik YooChoong Ang Vaccine Laboratory Co., Ltd., Daejeon, South Korea.
Jong-Soo LeeCollege of Veterinary Medicine, Chungnam National University, Daejeon, South Korea.
Chungnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the immunogenicity of vaccines currently used in poultry, several pathogens, including avian influenza virus (AIV) and Newcastle disease virus (NDV), cause enormous economic losses to the global poultry industry. The efficacy of vaccines can be improved by the introduction of effective adjuvants. This study evaluated a novel water-in-oil emulsion adjuvant, CAvant® WO-60, which effectively enhanced both the immunogenicity of conserved influenza antigen sM2HA2 and inactivated whole H9N2 antigen (iH9N2). CAvant® WO-60 induced both humoral and cell-mediated immunity in mice and provided 100% protection from challenge with 10 LD50 of A/Aquatic bird/Korea/W81/2005 (H5N2) and A/Chicken/Korea/116/2004 (H9N2) AIV. Importantly, immunization of chickens with iH9N2 plus inactivated NDV LaSota (iNDV) bivalent inactivated vaccine emulsified in CAvant® WO-60 induced seroprotective levels of antigen-specific antibody responses. Taken together, these results suggested that CAvant® WO-60 is a promising adjuvant for poultry vaccines.

Indexed as

adjuvantavian influenza virusCAvant® WO-60Newcastle disease virusvaccinewater-in-oil emulsion

Identifiers

PMID34926633
PMCPMC8677964
OpenAlexW4200426641

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.