Evidence map›Paper›PMID 35434714›Full record

ArticleMedComm2022

Characteristic analysis of Omicron-included SARS-CoV-2 variants of concern.

Hao Yang, Penghui Liu, Yong Zhang, Tingfu Du, Yanan Zhou, Shuaiyao Lu, Xiaozhong Peng

Abstract read
In one paragraph

Article in MedComm, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Hao YangInstitute of Medical Biology Chinese Academy of Medical Sciences and Peking Union Medical College Kunming Yunnan China.
Penghui LiuInstitute of Medical Biology Chinese Academy of Medical Sciences and Peking Union Medical College Kunming Yunnan China.
Yong ZhangInstitute of Medical Biology Chinese Academy of Medical Sciences and Peking Union Medical College Kunming Yunnan China.
Tingfu DuInstitute of Medical Biology Chinese Academy of Medical Sciences and Peking Union Medical College Kunming Yunnan China.
Yanan ZhouInstitute of Medical Biology Chinese Academy of Medical Sciences and Peking Union Medical College Kunming Yunnan China.
Shuaiyao LuInstitute of Medical Biology Chinese Academy of Medical Sciences and Peking Union Medical College Kunming Yunnan China.
Xiaozhong PengInstitute of Medical Biology Chinese Academy of Medical Sciences and Peking Union Medical College Kunming Yunnan China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In view of the rapid development of the COVID-19 pandemic and SARS-CoV-2 mutation, we characterized the emerging SARS-CoV-2 variants of concern (VOCs) by both bioinformatics methods and experiments. The representative genomic sequences of SARS-CoV-2 VOCs were first downloaded from NCBI, including the prototypic strain, Alpha (B.1.1.7) strain, Beta (B.1.351) strain, Delta (B.1.617.2), and Omicron (B1.1.529) strain. Bioinformatics analysis revealed that the D614G mutation led to formation of a protruding spike (S) in the tertiary structure of spike protein, which could be responsible for the enhanced binding to angiotensin-converting enzyme 2 (ACE2) receptor. The epitope analysis further showed that the S protein antigenicity of the Omicron variant changed dramatically, which was possibly associated with its enhanced ability of immune escape. To verify the bioinformatics results, we performed experiments of pseudovirus infection and protein affinity assay. Notably, we found that the spike protein of Omicron variant showed the weakest infectivity and binding ability among all tested strains. Finally, we also proved this through virus infection experiments, and found that the cytotoxicity of Omicron seems to be not strong enough. The results in this study provide guidelines for prevention and control of COVID-19.

Indexed as

ACE2 bindingOmicronSARS‐CoV‐2spike proteinvariants of concern

Identifiers

PMID35434714
PMCPMC8994548

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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.