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Three-dimensional label-free morphology of CD8 + T cells as a sepsis biomarker

Authors
 MinDong Sung  ;  Jong Hyun Kim  ;  Hyun-Seok Min  ;  Sooyoung Jang  ;  JaeSeong Hong  ;  Bo Kyu Choi  ;  JuHye Shin  ;  Kyung Soo Chung  ;  Yu Rang Park 
Citation
 LIGHT-SCIENCE & APPLICATIONS, Vol.12(1) : 265, 2023-11 
Journal Title
 LIGHT-SCIENCE & APPLICATIONS 
Issue Date
2023-11
Abstract
Sepsis is a dysregulated immune response to infection that leads to organ dysfunction and is associated with a high incidence and mortality rate. The lack of reliable biomarkers for diagnosing and prognosis of sepsis is a major challenge in its management. We aimed to investigate the potential of three-dimensional label-free CD8 + T cell morphology as a biomarker for sepsis. This study included three-time points in the sepsis recovery cohort (N = 8) and healthy controls (N = 20). Morphological features and spatial distribution within cells were compared among the patients' statuses. We developed a deep learning model to predict the diagnosis and prognosis of sepsis using the internal cell morphology. Correlation between the morphological features and clinical indices were analysed. Cell morphological features and spatial distribution differed significantly between patients with sepsis and healthy controls and between the survival and non-survival groups. The model for predicting the diagnosis and prognosis of sepsis showed an area under the receiver operating characteristic curve of nearly 100% with only a few cells, and a strong correlation between the morphological features and clinical indices was observed. Our study highlights the potential of three-dimensional label-free CD8 + T cell morphology as a promising biomarker for sepsis. This approach is rapid, requires a minimum amount of blood samples, and has the potential to provide valuable information for the early diagnosis and prognosis of sepsis.
Files in This Item:
T202306475.pdf Download
DOI
10.1038/s41377-023-01309-w
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Park, Yu Rang(박유랑) ORCID logo https://orcid.org/0000-0002-4210-2094
Sung, MinDong(성민동) ORCID logo https://orcid.org/0000-0002-5217-8877
Jang, Sooyoung(장수영)
Jung, Kyung Soo(정경수) ORCID logo https://orcid.org/0000-0003-1604-8730
Choi, Bo Kyu(최보규) ORCID logo https://orcid.org/0000-0002-0796-4043
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/197536
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