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Detection of Tear Components Using Matrix-Assisted Laser Desorption Ionization/Time-of-Flight Mass Spectrometry for Rapid Dry Eye Diagnosis
journal contribution
posted on 2020-08-05, 20:04 authored by Ting Zhang, Liang Hu, Huixiang Ma, Fangfang Ni, Fei Liu, Hao ChenThe
tear is a biological fluid that has the diagnostic potential
for ocular diseases. Extracellular vesicles (EVs), widly detected
in various biofluids including tears, are nanoparticles released by
living cells and considered as promising detection sources for noninvasive
liquid biopsy. Understanding the roles of tears and tear–EVs
in ocular diseases such as dry eye can facilitate the studies of clinical
diagnosis, which usually entails detecting such liquid objects with
a rapid and effective method. In this study, we used a mass spectrometry–based
strategy to analyze peptidome/proteome profiles of tears and EVs for
rapid dry eye diagnosis. Nanosized EVs were isolated from tears of
both healthy control (HC) individuals and dry eye syndrome (DES) patients,
and the tear compositions were further analyzed by tracking their
fingerprints with matrix-assisted laser desorption ionization/time-of-flight
mass spectrometry. The fingerprints of tear–EVs could be observed
in a dose-dependent manner and tears, allowing for comparison of the
discriminant peaks between tears and EVs. By analyzing these peaks,
the fingerprints of both tear and tear–EVs were showed to have
the capability of distinguishing patients with DES from HC donors
and providing an efficient way for screening potential DES biomarkers.
The proposed tear and EV fingerprinting approach is expected to be
a potential tool in the rapid diagnosis of ocular diseases and in-depth
research on pathogenesis. Data are available via ProteomeXchange with
identifier PXD020217.