Evidence map›Paper›PMID 36819024›Full record

ArticleFrontiers in microbiology2023

Molecular determinants associated with temporal succession of SARS-CoV-2 variants in Uttar Pradesh, India.

Smita Pal, Poonam Mehta, Ankita Pandey, Anam Ara, Ujjala Ghoshal, Uday C Ghoshal, Rajesh Pandey, Raj Kamal Tripathi, Prem N Yadav, Ramachandran Ravishankar and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. 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
0.2field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

12 authors at 3 institutions in 1 country.

Smita PalCSIR-Central Drug Research Institute, Lucknow (CSIR-CDRI), Lucknow, India.
Poonam MehtaCSIR-Central Drug Research Institute, Lucknow (CSIR-CDRI), Lucknow, India.
Ankita PandeyDepartment of Microbiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
Anam AraCSIR-Central Drug Research Institute, Lucknow (CSIR-CDRI), Lucknow, India.
Ujjala GhoshalDepartment of Microbiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
Uday C GhoshalDepartment of Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
Rajesh PandeyAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
Raj Kamal TripathiCSIR-Central Drug Research Institute, Lucknow (CSIR-CDRI), Lucknow, India.
Prem N YadavCSIR-Central Drug Research Institute, Lucknow (CSIR-CDRI), Lucknow, India.
Ramachandran RavishankarCSIR-Central Drug Research Institute, Lucknow (CSIR-CDRI), Lucknow, India.
Tapas K KunduCSIR-Central Drug Research Institute, Lucknow (CSIR-CDRI), Lucknow, India.
Singh RajenderCSIR-Central Drug Research Institute, Lucknow (CSIR-CDRI), Lucknow, India.
Academy of Scientific and Innovative Research · INCentral Drug Research Institute · INSanjay Gandhi Post Graduate Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence and rapid evolution of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) caused a global crisis that required a detailed characterization of the dynamics of mutational pattern of the viral genome for comprehending its epidemiology, pathogenesis and containment. We investigated the molecular evolution of the SASR-CoV-2 genome during the first, second and third waves of COVID-19 in Uttar Pradesh, India. Nanopore sequencing of the SARS-CoV-2 genome was undertaken in 544 confirmed cases of COVID-19, which included vaccinated and unvaccinated individuals. In the first wave (unvaccinated population), the 20A clade (56.32%) was superior that was replaced by 21A Delta in the second wave, which was more often seen in vaccinated individuals in comparison to unvaccinated (75.84% versus 16.17%, respectively). Subsequently, 21A delta got outcompeted by Omicron (71.8%), especially the 21L variant, in the third wave. We noticed that Q677H appeared in 20A Alpha and stayed up to Delta, D614G appeared in 20A Alpha and stayed in Delta and Omicron variants (got fixed), and several other mutations appeared in Delta and stayed in Omicron. A cross-sectional analysis of the vaccinated and unvaccinated individuals during the second wave revealed signature combinations of E156G, F157Del, L452R, T478K, D614G mutations in the Spike protein that might have facilitated vaccination breach in India. Interestingly, some of these mutation combinations were carried forward from Delta to Omicron.

Indexed as

COVID-19COVID-19 wavesDelta variantomicron variantSARS-CoV-2 genomespike mutationsvaccination breach

Identifiers

PMID36819024
PMCPMC9929466
OpenAlexW4318779510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.