Evidence map›Paper›PMID 35273977›Full record

ReviewFrontiers in medicine2022

SARS-CoV-2 Mutations and Their Impact on Diagnostics, Therapeutics and Vaccines.

Suresh Thakur, Shalitha Sasi, Sindhu Gopinathan Pillai, Ayantika Nag, Dhananjay Shukla, Ritu Singhal, Sameer Phalke, G S K Velu

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing 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

91 citing papers in PubMed.

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31 more citing papers are in PubMed but not listed here.

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

8 authors.

Suresh ThakurTrivitron Healthcare Pvt., Ltd., Visakhapatnam, India.
Shalitha SasiBlue Horizon International Therapeutic Sciences, Hackensack, NJ, United States.
Sindhu Gopinathan PillaiSymbiosis Institute of Health Science, Symbiosis International University, Pune, India.
Ayantika NagMP Advisors, Vadodara, India.
Dhananjay ShuklaDepartment of Biotechnology, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, India.
Ritu SinghalDepartment of Microbiology, National Institute of Tuberculosis and Respiratory Disease, New Delhi, India.
Sameer PhalkeTrivitron Healthcare Pvt., Ltd., Visakhapatnam, India.
G S K VeluTrivitron Healthcare Pvt., Ltd., Visakhapatnam, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the high rate of COVID-19 infections worldwide, the emergence of SARS-CoV-2 variants was inevitable. Several mutations have been identified in the SARS-CoV-2 genome, with the spike protein as one of the mutational hot spots. Specific amino acid substitutions such as D614G and N501Y were found to alter the transmissibility and virulence of the virus. The WHO has classified the variants identified with fitness-enhancing mutations as variants of concern (VOC), variants of interest (VOI) or variants under monitoring (VUM). The VOCs pose an imminent threat as they exhibit higher transmissibility, disease severity and ability to evade vaccine-induced and natural immunity. Here we review the mutational landscape on the SARS-CoV-2 structural and non-structural proteins and their impact on diagnostics, therapeutics and vaccines. We also look at the effectiveness of approved vaccines, antibody therapy and convalescent plasma on the currently prevalent VOCs, which are B.1.17, B.1.351, P.1, B.1.617.2 and B.1.1.529. We further discuss the possible factors influencing mutation rates and future directions.

Indexed as

diagnosticsmutationsomicronSARS-CoV-2spike proteinvaccinevariants of concern

Identifiers

PMID35273977
PMCPMC8902153

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.