4.5 Article

Procalcitonin measurement using antibody-conjugated fluorescent microspheres distinguishes atypical bacterial meningitis from viral encephalitis in children

Journal

ANALYTICAL BIOCHEMISTRY
Volume 626, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ab.2021.114219

Keywords

Atypical bacterial meningitis; Viral encephalitis; Procalcitonin; Immunochromatography; Fluorescent microsphere; Hand-held detection system

Funding

  1. China National Center for Biotechnology Development [2020YFC2004600]
  2. ethics Committee of Tianjin Children's Hospital

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This study developed a novel PCT detection method based on FMS for differentiating between ABM and VE. PCT levels showed significant differences between ABM and VE groups, highlighting the clinical importance of this method in distinguishing between the two diseases.
Examination of cerebrospinal fluid in atypical bacterial meningitis (ABM) is similar to that of viral encephalitis (VE), so ABM can easily be misdiagnosed as VE, which can delay diagnosis and treatment. We developed a simple, rapid hand-held lateral flow immunoassay detection system based on fluorescent microspheres (FMS) for procalcitonin (PCT) detection, which provides an indicator to differentiate between ABM and VE. With this novel method, the antigen-antibody reaction systems involve different species, making the test strips more stable than those utilizing one species. The strips exhibited a wide dynamic range (0.04-50 ng/mL) and good sensitivity (0.03 ng/mL). The function of PCT in the identification of ABM and VE in children was further studied. A significant difference in PCT levels was observed between the ABM and VE groups (P = 0.00) and between the ABM and the normal control groups (P = 0.00). PCT levels were not significantly different between the VE and normal control groups (P = 0.30). The area under the receiver operating characteristic curve of PCT for the diagnosis of ABM was 0.95. These findings collectively indicate the usefulness of the PCT detection method based on FMS for clinically differentiating between ABM and VE.

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