Evidence map›Paper›PMID 35214619›Full record

ArticleVaccines2022

Antibody Response of Combination of BNT162b2 and CoronaVac Platforms of COVID-19 Vaccines against Omicron Variant.

Ka-Wa Khong, Danlei Liu, Ka-Yi Leung, Lu Lu, Hoi-Yan Lam, Linlei Chen, Pui-Chun Chan, Ho-Ming Lam, Xiaochun Xie, Ruiqi Zhang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
4.2field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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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

16 authors at 1 institution in 1 country.

Ka-Wa KhongDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Danlei LiuDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Ka-Yi LeungDepartment of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.ORCID 0000-0002-5490-9311
Lu LuDepartment of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Hoi-Yan LamDepartment of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Linlei ChenDepartment of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Pui-Chun ChanDepartment of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Ho-Ming LamDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Xiaochun XieDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Ruiqi ZhangDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.ORCID 0000-0002-4859-3445
Yujing FanDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Kelvin Kai-Wang ToDepartment of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Honglin ChenDepartment of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.ORCID 0000-0001-5108-8338
Kwok-Yung YuenDepartment of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Kwok-Hung ChanDepartment of Microbiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.ORCID 0000-0003-1771-8249
Ivan Fan-Ngai HungDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.ORCID 0000-0002-1556-2538
University of Hong Kong · HK

Funding

Health & Medical Research Fund, Commissioned Research on the Novel Coronavirus Disease (COVID-19), Food & Health Bureau, HKSAR COVID190124 and COVID190125
6 · The paper itself

Abstract

By vaccinating SARS-CoV-2 naïve individuals who have already received two doses of COVID-19 vaccines, we aimed to investigate whether a heterologous prime-boost strategy, using vaccines of different platforms as the booster dose, can enhance the immune response against SARS-CoV-2 virus variants. Participants were assigned into four groups, each receiving different combination of vaccinations: two doses of BNT162b2 followed by one dose of BNT162b2 booster (B-B-B); Combination of BNT162b2 (first dose) and CoronaVac (second dose) followed by one dose of BNT162b2 booster (B-C-B); two doses of CoronaVac followed by one dose of CoronaVac booster (C-C-C); two doses of CoronaVac followed by one dose of BNT162b2 booster (C-C-B). The neutralizing antibody in sera against the virus was determined with live virus microneutralization assay (vMN). The B-B-B group and C-C-B group demonstrated significantly higher immunogenicity against SARS-CoV-2 Wild type (WT), Beta variant (BV) and Delta variant (DV). In addition, the B-B-B group and C-C-B group showed reduced but existing protection against Omicron variant (OV). Moreover, A persistent rise in vMN titre against OV was observed 3 days after booster dose. Regarding safety, a heterologous prime-boost vaccine strategy is well tolerated. In this study, it was demonstrated that using vaccines of different platforms as booster dose can enhance protection against SARS-CoV-2 variants, offering potent neutralizing activity against wild-type virus (WT), Beta variant (BV), Delta variant (DV) and some protection against the Omicron variant (OV). In addition, a booster mRNA vaccine results in a more potent immune response than inactivated vaccine regardless of which platform was used for prime doses.

Indexed as

COVID-19omicron variantvaccines

Identifiers

PMID35214619
PMCPMC8877145
OpenAlexW4207040879

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.