Sensitive and fast identification of bacteria in blood samples by immunoaffinity mass spectrometry for quick BSI diagnosis

Chemical Science
Yingdi ZhuHubert H Girault

Abstract

Bloodstream infections rank among the most serious causes of morbidity and mortality in hospitalized patients, partly due to the long period (up to one week) required for clinical diagnosis. In this work, we have developed a sensitive method to quickly and accurately identify bacteria in human blood samples by combining optimized matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MS) and efficient immunoaffinity enrichment/separation. A library of bacteria reference mass spectra at different cell numbers was firstly built. Due to a reduced sample spot size, the reference spectra could be obtained from as few as 10 to 102 intact bacterial cells. Bacteria in human blood samples were then extracted using antibodies-modified magnetic beads for MS fingerprinting. By comparing the sample spectra with the reference spectra based on a cosine correlation, bacteria with concentrations as low as 500 cells per mL in blood serum and 8000 cells per mL in whole blood were identified. The proposed method was further applied to positive clinical blood cultures (BCs) provided by a local hospital, where Escherichia coli and Staphylococcus aureus were identified. Because of the method's high sensitivity, the BC time requ...Continue Reading

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Citations

Oct 26, 2018·Small·Vadanasundari VedarethinamKun Qian
Jan 15, 2019·Expert Review of Molecular Diagnostics·Grégory DubourgFlorence Fenollar
Sep 7, 2018·Angewandte Chemie·Yingdi ZhuHubert H Girault
Jun 30, 2019·Micromachines·Lena GorgannezhadNam-Trung Nguyen
May 10, 2019·Proceedings of the National Academy of Sciences of the United States of America·Hui LiPak Kin Wong
May 21, 2021·Chemical Society Reviews·Yurou HuangJuyoung Yoon
Jun 22, 2021·Biosensors & Bioelectronics·Junchen LiaoBee Luan Khoo
Mar 30, 2018·Analytical Chemistry·Dongxue ZhangLiang Qiao
Aug 10, 2018·Analytical Chemistry·Yi YangLiang Qiao

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Software Mentioned

mMass Open Source Mass Spectrometry Tool
R Foundation for Statistical Computing
R

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