MALDI-TOF Mass Spectrometry Based on Parylene-Matrix Chip for the Analysis of Lysophosphatidylcholine in Sepsis Patient Sera

Jong Min Park, Joo Yoon Noh, Moon Ju Kim, Tae Gyeong Yun, Sang Guk Lee, Kyung Soo Chung, Eun Hye Lee, Mi Hwa Shin, Nam Su Ku, Sohee Yoon, Min Jung Kang, Moo Suk Park, Jae Chul Pyun

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4 Citations (Scopus)

Abstract

In this work, medical diagnosis of sepsis was conducted via quantitative analysis of lysophosphatidylcholine 16:0 (LPC 16:0) by using matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry based on a parylene-matrix chip. In the first step, specific mass peaks for the diagnosis of sepsis were searched by comparing MALDI-TOF mass spectra of sepsis patient sera with healthy controls and pneumonia patient sera. Two mass peaks at m/z = 496.3 and 518.3 were chosen as those that are specifically different for sepsis sera to compare with healthy controls and pneumonia patient sera. These mass peaks were identified to be protonated and sodium adducts of LPC 16:0 by using tandem mass spectra (MS2 and MS3) of purely synthesized LPC 16:0 and extracted LPC 16:0 from a healthy control and a sepsis patient. In the next step, a standard curve for LPC 16:0 for the quantitative analysis of LPC 16:0 with MALDI-TOF MS based on the parylene-matrix chip was prepared, and the statistical correlation to the LC-MS analysis results was demonstrated by using the Bland-Altman test and Passing-Bablok regression. Finally, MALDI-TOF MS based on the parylene-matrix chip was used for the quantification of LPC 16:0 with sera from patients with severe sepsis and septic shock (n = 143), pneumonia patients (n = 12), and healthy sera (n = 31). The sensitivity and the selectivity of medical diagnosis of sepsis was estimated to be 97.9% and 95.5% by using MALDI-TOF MS based on the parylene-matrix chip, respectively.

Original languageEnglish
JournalAnalytical Chemistry
DOIs
Publication statusPublished - 2019

Bibliographical note

Funding Information:
This study was supported by the Graduate School of Yonsei University Research Scholarship Grants in 2017; the Industry Technology Development Program [Grant No. 10063335], which is funded by the Ministry of Trade, Industry, and Energy (MOTIE, Korea); the National Research Foundation of Korea [Grant Nos. NRF-2017R1A2B4004077]; and a grant from the Ministry of Health & Welfare, Republic of Korea [Grant No. HI14C1324].

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry

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