Evidence map›Paper›PMID 39122992›Full record

ArticleCommunications medicine2024

A micro-disc-based multiplex method for monitoring emerging SARS-CoV-2 variants using the molecular diagnostic tool Intelli-OVI.

Md Belal Hossain, Yoshikazu Uchiyama, Samiul Alam Rajib, Akhinur Rahman, Mitsuyoshi Takatori, Benjy Jek Yang Tan, Kenji Sugata, Mami Nagashima, Mamiyo Kawakami, Hitoshi Ito and 9 more

Abstract read
In one paragraph

Article in Communications medicine, 2024. 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

19 authors.

Md Belal HossainDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID http://orcid.org/0000-0002-9758-8810
Yoshikazu UchiyamaDepartment of Information and Communication Technology, Faculty of Engineering, University of Miyazaki, Miyazaki, Japan.
Samiul Alam RajibDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID http://orcid.org/0000-0003-0743-1172
Akhinur RahmanDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Mitsuyoshi TakatoriDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Benjy Jek Yang TanDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID http://orcid.org/0000-0002-8275-7378
Kenji SugataDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Mami NagashimaDepartment of Microbiology, Tokyo Metropolitan Institute of Public Health, Tokyo, Japan.
Mamiyo KawakamiDepartment of Microbiology, Tokyo Metropolitan Institute of Public Health, Tokyo, Japan.
Hitoshi ItoDepartment of Microbiology, Tokyo Metropolitan Institute of Public Health, Tokyo, Japan.
Ryota KumagaiDepartment of Microbiology, Tokyo Metropolitan Institute of Public Health, Tokyo, Japan.
Kenji SadamasuDepartment of Microbiology, Tokyo Metropolitan Institute of Public Health, Tokyo, Japan.
Yasuhiro OgiClinical Laboratory Center of Kumamoto City Medical Association, Kumamoto, Japan.
Tatsuya KawaguchiClinical Laboratory Center of Kumamoto City Medical Association, Kumamoto, Japan.
Tomokazu TamuraDepartment of Microbiology and Immunology, Faculty of Medicine, Hokkaido University, Sapporo, Japan.ORCID http://orcid.org/0000-0003-1395-6610
Takasuke FukuharaDepartment of Microbiology and Immunology, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Masahiro OnoDepartment of Life Sciences, Imperial College London, London, UK.
Kazuhisa YoshimuraDepartment of Microbiology, Tokyo Metropolitan Institute of Public Health, Tokyo, Japan.
Yorifumi SatouDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan. y-satou@kumamoto-u.ac.jp.ORCID http://orcid.org/0000-0002-1495-7810

Funding

Japan Agency for Medical Research and Development (AMED) JP22fk0410052, JP22wm0325015, JP22jm0210074, JP22fk0410040Japan Agency for Medical Research and Development (AMED) JP23fk0410057
6 · The paper itself

Abstract

backgroundHighly transmissible viruses including SARS-CoV-2 frequently accumulate novel mutations that are detected via high-throughput sequencing. However, there is a need to develop an alternative rapid and non-expensive approach. Here we developed a novel multiplex DNA detection method Intelli-OVI for analysing existing and novel mutations of SARS-CoV-2.

methodsWe have developed Intelli-OVI that includes the micro-disc-based method IntelliPlex and computational algorithms of objective variant identification (OVI). More than 250 SARS-CoV-2 positive samples including wastewater ones were analysed to verify the efficiency of the method.

resultsIntelliPlex uses micro-discs printed with a unique pictorial pattern as a labelling conjugate for DNA probes, and OVI allows simultaneous identification of several variants using multidimensional data obtained by the IntelliPlex method. Importantly, de novo mutations can be identified by decreased signals, which indicates that there is an emergence of de novo variant virus as well as prompts the need to design additional primers and probes. We have upgraded probe panel according to the emergence of new variants and demonstrated that Intelli-OVI efficiently identified more than 20 different SARS-CoV-2 variants by using 35 different probes simultaneously.

conclusionsIntelli-OVI can be upgraded to keep up with rapidly evolving viruses as we showed in this study using SARS-CoV-2 as an example and may be suitable for other viruses but would need to be validated.

Identifiers

PMID39122992
PMCPMC11316138

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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.