Evidence map›Paper›PMID 40400917›Full record

ArticleJournal of thoracic disease2025

Application of novel dark-quencher labeled probes in multiplex qRT-PCR assays for rapid detection of SARS-CoV-2 variants.

Zhiqi Zeng, Jie Yang, Jun Dai, Lirong Zou, Zhengshi Lin, Yong Liu, Wenda Guan, Feng Li, Kui Zheng, Shuai Yuan and 22 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. 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
–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

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

32 authors.

Zhiqi Zeng *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jie Yang *Kingmed Virology Diagnostic and Translational Center, Guangzhou Kingmed Center for Clinical Laboratory Co., Ltd., Guangzhou, China.
Jun Dai *Guangzhou Customs Technology Center, Guangzhou, China.
Lirong Zou *Institute of Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Zhengshi Lin *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yong Liu *Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Wenda Guan *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Feng Li *Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Kui ZhengGuangzhou Customs Technology Center, Guangzhou, China.
Shuai YuanGuangzhou Customs Technology Center, Guangzhou, China.
Fangfang SunGuangzhou Customs Technology Center, Guangzhou, China.
Fengxia HeGuangzhou Customs Technology Center, Guangzhou, China.
Ye HongGuangzhou Customs Technology Center, Guangzhou, China.
Hui LiZhuhai Huirui Biotechnology Co. Ltd., Zhuhai, China.
Wei LiuZhuhai Huirui Biotechnology Co. Ltd., Zhuhai, China.
Guangqi MenZhuhai Huirui Biotechnology Co. Ltd., Zhuhai, China.
Xinyue ZhangZhuhai Huirui Biotechnology Co. Ltd., Zhuhai, China.
Yun LanGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xizi DengGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Liya LiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yaqing LinGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Honghao LaiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Peng QianGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Qinghong FanGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Mengling JiangGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Jiaojiao LiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Guofang TangGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Qiaohui MoGuangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Xiaoyan Deng *Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Jicheng Huang *Guangzhou Customs Technology Center, Guangzhou, China.
Xiaoling Deng *Institute of Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Zifeng Yang *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease 2019 (COVID-19) is an acute infectious disease caused by the new coronavirus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Because SARS-CoV-2 frequently mutates, it creates a number of variants that must be distinguished and tracked using a rapid detection technique. At present, the identification of virus variants often requires sequencing of the viral genome with sophisticated techniques which are costly and time-consuming. On the other hand, the quantitative reverse transcription-polymerase chain reaction (qRT-PCR) method used to diagnose SARS-CoV-2 infection has been widely applied worldwide amid COVID-19 pandemic. Due to the lower specificity and sensitivity in detecting different strains using multiple qRT-PCR, we aimed to develop novel dark quencher (DQ) labeled probes to improve the performance of multiple qRT-PCR. DQ probes are dihydropyrroloindole carboxylate (DPI3)-analogue. Methods: We first tested their amplification efficiency and specificity, on detecting single nucleotide polymorphism through qRT-PCR, and the simultaneous detection efficiency of multiple SARS-CoV-2 mutation sites. The DQ labeled probes were further applied in multiplex qRT-PCR assays, and the method was validated on SARS-CoV-2 positive clinical samples for its sensitivity and specificity. Results: DQ probes exhibited better specificity and sensitivity than the TaqMan Conclusions: Our novel DQ-probe/multiplex qRT-PCR assay provides a rapid and simple method to quickly distinguish SARS-CoV-2 variants, we were able to quickly identify SARS-CoV-2 variants (Delta and Omicron BA.1, BA.1.1, BA.2, BA.2.12.1, BA.3, BA.4, and BA.5) that target nine specific mutation sites in the

Indexed as

Coronavirus disease 2019 (COVID-19)dark quencher probe (DQ probe)mutationquantitative reverse transcription-polymerase chain reaction (qRT-PCR)severe acute respiratory syndrome coronavirus 2 variants (SARS-CoV-2 variants)

Identifiers

PMID40400917
PMCPMC12090148

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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.