Evidence map›Paper›PMID 39110319›Full record

ArticleMolecular biology reports2024

Development of highly adaptable RT-PCR methods for identifying Delta and BA.1 variants in inactivated COVID-19 vaccines.

Zhanhui Wang, Yao He, Zhenyu He, Yancen Guo, Yuxiu Zhao, Yuntao Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zhanhui Wang *Beijing Institute of Biological Products Company Limited, Beijing, 100176, China.
Yao He *Beijing Institute of Biological Products Company Limited, Beijing, 100176, China.
Zhenyu HeBeijing Institute of Biological Products Company Limited, Beijing, 100176, China.
Yancen GuoBeijing Institute of Biological Products Company Limited, Beijing, 100176, China.
Yuxiu ZhaoBeijing Institute of Biological Products Company Limited, Beijing, 100176, China. zhao10306@126.com.
Yuntao ZhangBeijing Institute of Biological Products Company Limited, Beijing, 100176, China. zhangyuntao@sinopharm.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The emergence and rapid spread of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), poses a significant threat to human health and public safety. While next-generation sequencing (NGS) is capable of detecting and tracking new COVID-19 variants for disease diagnosis and prevention, its high cost and time-consuming nature limit its widespread use. In this study, our aim was to develop a highly adaptable and accurate RT-PCR method for identifying the Delta or BA.1 variants in inactivated COVID-19 vaccine. We devised three two-plex RT-PCR methods targeting specific mutation sites: S: Δ156-157, S: N211-, L212I, and S: Δ142-144, Y145D. The RT-PCR method targeting the S: Δ156-157 mutation site was able to distinguish the Delta variant from other COVID-19 virus strains, while the RT-PCR methods targeting the S: N211-, L212I or S: Δ142-144, Y145D mutation sites were able to distinguish the BA.1 variant from other COVID-19 virus strains. We separately validated these three two-plex RT-PCR methods, and the results demonstrated good linearity, repeatability, reproducibility, and specificity for each method. Moreover, all three methods can be applied in the production of SARS-CoV-2 variant inactivated vaccines, enabling the identification of Delta or BA.1 variants in virus cultures as well as in inactivated vaccine stocks. This study presents a systematic approach to identify COVID-19 variants using multiple RT-PCR methods. We successfully developed three two-plex RT-PCR methods that can identify Delta and BA.1 variants based on specific mutation sites, and we completed the validation of these three methods.

Indexed as

COVID-19COVID-19 VaccinesMutationReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Vaccines, InactivatedHumansSpike Glycoprotein, CoronavirusCOVID-19 VaccinesSpike Glycoprotein, CoronavirusVaccines, InactivatedBA.1, vaccinesDeltaQuantitative real-time PCRSARS-CoV-2Variant

Identifiers

What OpenQuestion holds

Textmetadata
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.