Evidence map›Paper›PMID 36343703›Full record

ArticleGene2023

Geographical distribution of host's specific SARS-CoV-2 mutations in the early phase of the COVID-19 pandemic.

Mohammad Khalid, David Murphy, Maryam Shoai, Jonahunnatha Nesson George-William, Yousef Al-Ebini

Abstract read
In one paragraph

Article in Gene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Mohammad KhalidDepartment of Pharmaceutics, College of Pharmacy, King Khalid University, Asir-Abha 61421, Saudi Arabia. Electronic address: mmabood@kku.edu.sa.
David MurphyDepartment of Clinical and Movement Neurosciences, UCL Institute of Neurology, Queen Square, London, United Kingdom.
Maryam ShoaiDepartment of Neurodegenerative Diseases, UCL Institute of Neurology, London, United Kingdom.
Jonahunnatha Nesson George-WilliamCenter for Advanced Studies and Technology (CAST), G. d'Annunzio University, 66100 Chieti, Italy.
Yousef Al-EbiniDepartment of Pharmaceutics, College of Pharmacy, King Khalid University, Asir-Abha 61421, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess, if the SARS-CoV-2 mutate in a similar pattern globally or has a specific pattern in any given population.

resultsWe report, the insertion of TTT at 11085, which adds an extra amino acid, F to the NSP6 at amino acid position 38. The highest occurrence of TTT insertion at 11,085 position was found in UK derived samples (65.97%). The second and third highest occurrence of the mutation were found in Australia (8.3%) and USA (4.16%) derived samples, respectively. Another important discovery of this study is the C27945T mutation, which translates into the termination of ORF-8 after 17 amino acids, reveals that the SARS-CoV-2 can replicate without the intact ORF-8 protein. We found that the 97% of C27945T mutation of global occurrence, occurred in Europe and the USA derived samples.

conclusionsTwo of the reported mutations (11085TTT insertion and C27945T nonsense), which seemed to reduce Type I interferon response are linked to specific geographical locations of the host and implicate region-specific mutations in the virus. The findings of this study signify that SARS-CoV-2 has the potential to adapt differently to different populations.

Indexed as

COVID-19SARS-CoV-2Amino AcidsGenome, ViralHumansMutationPandemicsPhylogenyAmino AcidsMutationNSP6Nucleotide sequencesORF-8SARS-CoV-2

Identifiers

PMID36343703
PMCPMC9635256

What OpenQuestion holds

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Registered trials

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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.