Evidence map›Paper›PMID 40560831›Full record

ArticlePloS one2025

A targeted approach for multiplex detection of respiratory viruses in cases with severe acute respiratory infections by nanopore sequencing.

Arghavan Zebardast, Kaveh Sadeghi, Ahmad Nejati, Sevrin Zadheidar, Mohammad Hossein Najmi, Adel Abedi, Vahid Salimi, Mehdi Shabani, Jila Yavarian, Nazanin Zahra Shafiei Jandaghi and 1 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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

11 authors.

Arghavan ZebardastVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-8263-241X
Kaveh SadeghiVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ahmad NejatiVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Sevrin ZadheidarVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein NajmiFaculty of Biological Sciences, Department of Bioinformatics, Tarbiat Modares University, Tehran, Iran.
Adel AbediMathematics Department, Shahid Beheshti University, Tehran, Iran.
Vahid SalimiVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mehdi ShabaniVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Jila YavarianVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-3239-9397
Nazanin Zahra Shafiei JandaghiVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Talat Mokhtari AzadVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory infection (SARI) remains one of the leading causes of morbidity and mortality worldwide. Multiple viruses can cause this infection. Sequencing technologies hold great promise for detecting viral pathogens. This proof-of-concept study aimed to develop and validate a new method for multiplex detection and typing of SARI-related viruses (SARS-CoV-2, Influenza A (H1N1, H3N2), Influenza B, human respiratory syncytial virus, human adenoviruses, human enteroviruses, and human parainfluenza viruses) using a nanopore next-generation sequencing method. Following genome extraction from oropharyngeal swab samples and conventional RT-PCR assays, the libraries were barcoded and sequenced by the MinION device. The sensitivity and specificity were assessed using various serial dilutions of samples and different primer pools, respectively. Data analysis was carried out using bioinformatic tools. Finally, the protocol was validated with known positive samples. All participants provided written informed consent. During 12 hours of MinION sequencing, 711,000 reads passed the quality filters (Q-score>7). Eleven out of 12 target genes were successfully identified in clinical samples, with more than 90% coverage for most viruses. All viruses were detected by a Q30 value of more than 1%. The detection limit was measured for SARS-CoV-2, Influenza A (H1N1, H3N2), Influenza B, and human respiratory syncytial virus. The method showed 99.9% specificity in detection and was validated by 20 clinical samples. This study developed and validated a novel multiplex detection approach of Oxford Nanopore Technologies that allowed the identification of SARI-related respiratory viruses in a clinical laboratory setting.

Indexed as

Nanopore SequencingRespiratory Tract InfectionsVirusesCOVID-19High-Throughput Nucleotide SequencingHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza B virusSARS-CoV-2Sensitivity and Specificity

Identifiers

PMID40560831
PMCPMC12192076

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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.