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Modified transport medium for improving influenza virus detection.
Zeng, Zhiqi; Li, Qianying; Guo, Hua; Liu, Yong; Liang, Lixi; Lai, Yuanfang; Fang, Yi; Li, Lei; Xue, Qiuting; Zhan, Yangqing; Lin, Zhengshi; Guan, Wenda; Yang, Zifeng.
Affiliation
  • Zeng Z; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
  • Li Q; Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Faculty of Innovative Engineering, Macau University of Science and Technology, Macao, Macao SAR, China.
  • Guo H; Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Faculty of Innovative Engineering, Macau University of Science and Technology, Macao, Macao SAR, China.
  • Liu Y; BaSO Diagnostics Inc., Zhuhai, Guangzhou, China.
  • Liang L; Kingmed Virology Diagnostic and Translational Center, Guangzhou Kingmed Center for Clinical Laboratory Co., Ltd., Guangzhou, China.
  • Lai Y; 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, Guangdong, China.
  • Fang Y; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
  • Li L; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
  • Xue Q; BaSO Diagnostics Inc., Zhuhai, Guangzhou, China.
  • Zhan Y; BaSO Diagnostics Inc., Zhuhai, Guangzhou, China.
  • Lin Z; 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, Guangdong, China.
  • Guan W; 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, Guangdong, China.
  • Yang Z; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Front Cell Infect Microbiol ; 14: 1399782, 2024.
Article de En | MEDLINE | ID: mdl-39027137
ABSTRACT

Background:

Accurate detection of influenza virus in clinical samples requires correct execution of all aspects of the detection test. If the viral load in a sample is below the detection limit, a false negative result may be obtained. To overcome this issue, we developed a modified transport medium (MTM) for clinical sample transportation to increase viral detection sensitivity.

Method:

We first validated the MTM using laboratory-stocked influenza A viruses (IAVs H1N1, H3N2, H7N3, H9N2) and influenza B viruses (IBVs Yamagata, Victoria). We also tested clinical samples. A total of 110 patients were enrolled and a pair of samples were collected to determine the sensitivity of real-time polymerase chain reaction (RT-PCR) following MTM treatment.

Result:

After 24 h culturing in MTM, the viral loads were increased, represented by a 10-fold increase in detection sensitivity for H1N1, H9N2, and IBVs, a 100-fold increase for H3N2, and a 1,000-fold increase for H7N3. We further tested the effects of MTM on 19 IAV and 11 IBV stored clinical samples. The RT-PCR results showed that the positive detection rate of IAV samples increased from 63.16% (12/19) without MTM culturing to 78.95% (15/19) after 48 h culturing, and finally 89.47% (17/19) after 72 h culturing. MTM treatment of IBV clinical samples also increased the positive detection rate from 36.36% (4/11, 0 h) to 63.64% (7/11, 48 h) to 72.73% (8/11, 72 h). For clinical samples detected by RT-PCR, MTM outperformed other transport mediums in terms of viral detection rate (11.81% increase, P=0.007).

Conclusion:

Our results demonstrated that the use of MTM for clinical applications can increase detection sensitivity, thus facilitating the accurate diagnosis of influenza infection.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Virus de la grippe A / Virus influenza B / Manipulation d'échantillons / Sensibilité et spécificité / Charge virale / Grippe humaine Limites: Adult / Female / Humans / Male / Middle aged Langue: En Journal: Front Cell Infect Microbiol Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Virus de la grippe A / Virus influenza B / Manipulation d'échantillons / Sensibilité et spécificité / Charge virale / Grippe humaine Limites: Adult / Female / Humans / Male / Middle aged Langue: En Journal: Front Cell Infect Microbiol Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse