Evidence map›Paper›PMID 36362544›Full record

ArticleJournal of clinical medicine2022

Association of Clinical Features with Spike Glycoprotein Mutations in Iranian COVID-19 Patients.

Shahrzad Ahangarzadeh, Alireza Yousefi, Mohammad Mehdi Ranjbar, Arezou Dabiri, Atefeh Zarepour, Mahmoud Sadeghi, Elham Heidari, Fariba Mazrui, Majid Hosseinzadeh, Behrooz Ataei and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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 48% 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, 2 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

13 authors at 3 institutions in 2 countries.

Shahrzad AhangarzadehInfectious Diseases and Tropical Medicine Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran.ORCID 0000-0002-2377-3319
Alireza YousefiRazi Vaccine and Serum Research Institute, Agricultural Research, Education, and Extension Organization (AREEO), Karaj 31585-854, Iran.ORCID 0000-0002-2034-7023
Mohammad Mehdi RanjbarRazi Vaccine and Serum Research Institute, Agricultural Research, Education, and Extension Organization (AREEO), Karaj 31585-854, Iran.
Arezou DabiriApplied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran.
Atefeh ZarepourDepartment of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul 34396, Turkey.ORCID 0000-0002-0347-5840
Mahmoud SadeghiHealth Vice Chancellery of Isfahan Medical University, Isfahan University of Medical Sciences, Isfahan 81656-47194, Iran.
Elham HeidariHealth Vice Chancellery of Isfahan Medical University, Isfahan University of Medical Sciences, Isfahan 81656-47194, Iran.
Fariba MazruiHealth Vice Chancellery of Isfahan Medical University, Isfahan University of Medical Sciences, Isfahan 81656-47194, Iran.
Majid HosseinzadehDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran.
Behrooz AtaeiNosocomial Infection Research Center, Isfahan University of Medical Sciences, Isfahan 31379-23929, Iran.
Ali ZarrabiDepartment of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul 34396, Turkey.ORCID 0000-0003-0391-1769
Laleh ShariatiDepartment of Biomaterials, Nanotechnology and Tissue Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran.
Shaghayegh Haghjooy JavanmardApplied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran.
Isfahan University of Medical Sciences · IRIstinye University · TRRazi Vaccine and Serum Research Institute · IR

Funding

Isfahan University of Medical Sciences 198284
6 · The paper itself

Abstract

backgroundMutations in spike glycoprotein, a critical protein of SARS-CoV-2, could directly impact pathogenicity and virulence. The D614G mutation, a non-synonymous mutation at position 614 of the spike glycoprotein, is a predominant variant circulating worldwide. This study investigated the occurrence of mutations in the crucial zone of the spike gene and the association of clinical symptoms with spike mutations in isolated viruses from Iranian patients infected with SARS-CoV-2 during the second and third waves of the COVID-19 epidemic in Isfahan, the third-largest city in Iran.

methodsThe extracted RNA from 60 nasopharyngeal samples of COVID-19 patients were subjected to cDNA synthesis and RT-PCR (in three overlapping fragments). Each patient's reverse transcriptase polymerase chain reaction (RT-PCR) products were assembled and sequenced. Information and clinical features of all sixty patients were collected, summarized, and analyzed using the GENMOD procedure of SAS 9.4.

resultsAnalysis of 60 assembled sequences identified nine nonsynonymous mutations. The D614G mutation has the highest frequency among the amino acid changes. In our study, in 31 patients (51.66%), D614G mutation was determined. For all the studied symptoms, no significant relationship was observed with the incidence of D614G mutation.

conclusionsD614G, a common mutation among several of the variants of SARS-CoV-2, had the highest frequency among the studied sequences and its frequency increased significantly in the samples of the third wave compared to the samples of the second wave of the disease.

Indexed as

clinical symptomsCOVID-19D614Gmutationspike glycoprotein

Identifiers

PMID36362544
PMCPMC9654899
OpenAlexW4307551426

What OpenQuestion holds

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LicenceCC BY
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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.