Cited 0 times in

Sepsis diagnosis based on parylene matrix chip using LPC16:0 as a biomarker and colorimetry of total phospholipid

Authors
 Tae Gyeong Yun  ;  Jun-Hee Park  ;  Hye Soo Kim  ;  Mi Hwa Shin  ;  Min-Jung Kang  ;  Moo Suk Park  ;  Jae-Chul Pyun 
Citation
 ACS Applied Bio Materials, Vol.8(1) : 609-616, 2025-01 
Journal Title
ACS Applied Bio Materials
Issue Date
2025-01
MeSH
Biocompatible Materials / chemistry ; Biomarkers* / blood ; Colorimetry* ; Humans ; Materials Testing ; Particle Size ; Phospholipids* / blood ; Phospholipids* / chemistry ; Polymers* / chemistry ; Sepsis* / blood ; Sepsis* / diagnosis ; Xylenes* / chemistry
Keywords
colorimetry ; laser desorption/ionization time-of-flight mass spectrometry ; lysophosphatidylcholine ; parylene matrix chip ; phospholipid ; sepsis
Abstract
For the medical diagnosis of sepsis, it is crucial to differentiate infectious inflammation from noninfectious symptoms to prevent acute aggravation. Herein, a diagnosis for early stage sepsis was performed using LPC 16:0 and total phospholipids as small molecular biomarkers. The measurement of LPC 16:0 was conducted using a parylene matrix chip, which was developed to effectively detect small molecules in laser desorption/ionization mass spectrometry (LDI-MS). Meanwhile, the total phospholipid level was measured using colorimetry, following an enzymatic assay. Next, the two biomarkers were analyzed in serum samples from healthy volunteers, systemic inflammatory response syndrome (SIRS) patients, and sepsis patients. Diagnostic criteria were established based on the biomarker intensities observed in each patient group. After the measurements were conducted, the interference in phospholipid analysis due to hemoglobin contamination was considered. Additionally, the analytical parameters from biomarker detection were statistically interpreted and compared with those of conventional diagnostic standards. Finally, the diagnostic performance of each biomarker was evaluated by analyzing the biomarker levels between patient groups and examining their overlapping extents in box plots to distinguish sepsis from noninfectious inflammatory symptoms.
Full Text
https://pubs.acs.org/doi/10.1021/acsabm.4c01453
DOI
10.1021/acsabm.4c01453
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Park, Moo Suk(박무석) ORCID logo https://orcid.org/0000-0003-0820-7615
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/204372
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links