Evidence map›Paper›PMID 40609746›Full record

ArticleVirologica Sinica2025

Rapid and accurate detection of infectious SARS-CoV-2 by viral receptor capture combined with loop-mediated isothermal amplification.

Zixiao Yang, Xinrong Zhou, Xikui Sun, Liu Cao, Tiefeng Xu, Kun Li, Hongchao Liu, Yanxi Ji, Lihong Liu, Konstantin I Ivanov and 3 more

Abstract read
In one paragraph

Article in Virologica Sinica, 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

13 authors.

Zixiao YangCenter for Infection and Immunity, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China; Guangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510320, China.
Xinrong ZhouGuangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510320, China; 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, 510182, China.
Xikui SunGuangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510320, China.
Liu CaoCenter for Infection and Immunity, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China.
Tiefeng XuCenter for Infection and Immunity, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China; Guangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510320, China.
Kun LiGuangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510320, China; Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Hongchao LiuGuangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510320, China; 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, 510182, China.
Yanxi JiCenter for Infection and Immunity, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China.
Lihong LiuGuangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510320, China.
Konstantin I IvanovGuangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510320, China; Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, 119234, Russia.
Zhonghan YangCenter for Infection and Immunity, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China.
Deyin GuoGuangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510320, China; Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510630, China; 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, 510182, China. Electronic address: guo_deyin@gzlab.ac.cn.
Chun-Mei LiCenter for Infection and Immunity, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China. Electronic address: lichm8@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and accurate detection of infectious virus particles, not just viral nucleic acid, is essential to avoid unnecessary quarantine and effectively control the spread of viral diseases such as coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome (SARS), and Middle East respiratory syndrome (MERS). Real-time quantitative polymerase chain reaction (RT-qPCR) was the most widely used detection technique during the COVID-19 outbreak. However, it cannot discriminate between intact infectious viruses and surface-distorted, non-infectious virus particles or naked viral RNA. In this study, we present a strategy for the specific detection of infectious coronaviruses by combining viral receptor capture and reverse transcription loop-mediated isothermal amplification (RT-LAMP). We successfully applied this strategy to detect infectious virus particles of the SARS-CoV-2 surrogate virus and the human coronavirus NL63 (HCoV-NL63). Virus particles were first captured on ELISA plates coated with the recombinant human angiotensin-converting enzyme 2 (hACE2) receptor. Viral RNA was then extracted from the particles and detected by RT-LAMP using virus-specific primers. In our experimental setting, the proposed method had a minimum detection limit (LOD) of 90 ​PFU/mL, sensitivity of 96.2%, and specificity of 100%. Our study provides a proof-of-concept that viral receptor capture combined with RT-LAMP can differentiate infectious coronaviruses from non-infectious virions or naked viral RNA. This paves the way for this virus detection strategy to become a mainstream tool for the management, prevention and control of epidemic coronavirus diseases.

Indexed as

COVID-19Molecular Diagnostic TechniquesNucleic Acid Amplification TechniquesReceptors, VirusSARS-CoV-2Angiotensin-Converting Enzyme 2Coronavirus NL63, HumanHumansRNA, ViralSensitivity and SpecificityAngiotensin-Converting Enzyme 2Receptors, VirusRNA, ViralInfectious virus particle detectionReceptor-based captureRT-LAMPSARS-CoV-2Transmission and surveillance

Identifiers

PMID40609746
PMCPMC12414410

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LicenceCC BY-NC-ND
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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.