Frontiers in Cellular and Infection Microbiology (Jul 2024)

Modified transport medium for improving influenza virus detection

  • Zhiqi Zeng,
  • Zhiqi Zeng,
  • Qianying Li,
  • Hua Guo,
  • Yong Liu,
  • Lixi Liang,
  • Yuanfang Lai,
  • Yi Fang,
  • Lei Li,
  • Qiuting Xue,
  • Yangqing Zhan,
  • Zhengshi Lin,
  • Wenda Guan,
  • Wenda Guan,
  • Zifeng Yang,
  • Zifeng Yang,
  • Zifeng Yang,
  • Zifeng Yang

DOI
https://doi.org/10.3389/fcimb.2024.1399782
Journal volume & issue
Vol. 14

Abstract

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BackgroundAccurate 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.MethodWe 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.ResultAfter 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).ConclusionOur results demonstrated that the use of MTM for clinical applications can increase detection sensitivity, thus facilitating the accurate diagnosis of influenza infection.

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