Evidence map›Paper›PMID 38303011›Full record

ArticleAnnals of clinical microbiology and antimicrobials2024

Integrated approach for detection of SARS-CoV-2 and its variant by utilizing LAMP and ARMS-PCR.

Maryam Nawab, Syeda Kiran Riaz, Eiman Ismail, Alfar Ahamed, Aaysha Tariq, Muhammad Faraz Arshad Malik, Naeem F Qusty, Farkad Bantun, Petr Slama, Massab Umair and 3 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2024. 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
2.7field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

13 authors at 8 institutions in 6 countries.

Maryam NawabDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Syeda Kiran RiazDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Eiman IsmailDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Alfar AhamedDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Aaysha TariqMolecular Diagnostic Unit, Clinical Pathology Department, PAEC General Hospital, Islamabad, Pakistan.
Muhammad Faraz Arshad MalikDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan. famalik@comsats.edu.pk.
Naeem F QustyLaboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, PO Box 7607, Makkah, Al Abdeyah, Saudi Arabia.
Farkad BantunDepartment of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
Petr SlamaLaboratory of Animal Immunology and Biotechnology, Department of Animal Morphology, Physiology and Genetics, Faculty of AgriSciences, Mendel University in Brno, Brno, 61300, Czech Republic.
Massab UmairDepartment of Virology, National Institute of Health (NIH), Islamabad, Pakistan.
Shafiul HaqueResearch and Scientific Studies Unit, College of Nursing and Health Sciences, Jazan University, Jazan, 45142, Saudi Arabia.
D Katterine Bonilla-AldanaResearch Unit, Universidad Continental, Huancayo, 12000, Peru.
Alfonso J Rodriguez-MoralesGilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, 1102 2801, Lebanon.
COMSATS University Islamabad · PKUmm al-Qura University · SAAjman University · AELebanese American University · LBMendel University in Brno · CZNational Institute of Health · PKPakistan Atomic Energy Commission · PKUniversidad Continental · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global impact of COVID-19 pandemic has heightened the urgency for efficient virus detection and identification of variants such as the Q57H mutation. Early and efficient detection of SARS-CoV-2 among densely populated developing countries is paramount objective. Although RT-PCR assays offer accuracy, however, dependence on expansive kits and availability of allied health resources pose an immense challenge for developing countries. In the current study, RT-LAMP based detection of SARS-Cov-2 with subsequent confirmation of Q57H variant through ARMS-PCR was performed. Among the 212 collected samples, 134 yielded positive results, while 78 tested negative using RT-LAMP. Oropharyngeal swabs of suspected individuals were collected and processed for viral RNA isolation. Isolated viral RNA was processed further by using either commercially available WarmStart Master Mix or our in house developed LAMP master mix separately. Subsequently, the end results of each specimen were evaluated by colorimetry. For LAMP assays, primers targeting three genes (ORF1ab, N and S) were designed using PrimerExplorer software. Interestingly, pooling of these three genes in single reaction tube increased sensitivity (95.5%) and specificity (93.5%) of LAMP assay. SARS-CoV-2 positive specimens were screened further for Q57H mutation using ARMS-PCR. Based on amplicon size variation, later confirmed by sequencing, our data showed 18.5% samples positive for Q57H mutation. Hence, these findings strongly advocate use of RT-LAMP-based assay for SARS-CoV-2 screening within suspected general population. Furthermore, ARMS-PCR also provides an efficient mean to detect prevalent mutations against SARS-Cov-2.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansMolecular Diagnostic TechniquesPandemicsPolymerase Chain ReactionRNA, ViralSensitivity and SpecificityRNA, ViralARMS-PCRORF1abQ57HRT-LAMPSARS-CoV-2

Identifiers

PMID38303011
PMCPMC10836012
OpenAlexW4391433396

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.