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The expression of CD86 in CD3+CD56+ NKT cells is associated with the occurrence and prognosis of sepsis-associated encephalopathy in sepsis patients: a prospective observational cohort study.

Authors :
Chen, Sheng-long
Liu, Xiao-yu
Huang, Jun-hong
Xian, Lu-hua
Li, Xu-sheng
Wang, Kang-rong
Li, Jing
Zhang, Tian-cao
Huang, Guo-ge
Liu, Xin-qiang
Zeng, Hong-ke
Zhou, Mao-hua
Jiang, Wen-qiang
Source :
Immunologic Research; Dec2023, Vol. 71 Issue 6, p929-940, 12p
Publication Year :
2023

Abstract

The role of CD3<superscript>+</superscript>CD56<superscript>+</superscript> natural killer T (NKT) cells and its co-signaling molecules in patients with sepsis-associated encephalopathy (SAE) is unknown. In this prospective observational cohort study, we initially recruited 260 septic patients and eventually analyzed 90 patients, of whom 57 were in the SAE group and 37 were in the non-SAE group. Compared to the non-SAE group, 28-day mortality was significantly increased in the SAE group (33.3% vs. 12.1%, p = 0.026), while the mean fluorescence intensity (MFI) of CD86 in CD3<superscript>+</superscript>CD56<superscript>+</superscript> NKT cells was significantly lower (2065.8 (1625.5 ~ 3198.8) vs. 3117.8 (2278.1 ~ 5349), p = 0.007). Multivariate analysis showed that MFI of CD86 in NKT cells, APACHE II score, and serum albumin were independent risk factors for SAE. Furthermore, the Kaplan–Meier survival analysis indicated that the mortality rate was significantly higher in the high-risk group than in the low-risk group (χ<superscript>2</superscript> = 14.779, p < 0.001). This study showed that the decreased expression of CD86 in CD3<superscript>+</superscript>CD56<superscript>+</superscript> NKT cells is an independent risk factor of SAE; thus, a prediction model including MFI of CD86 in NKT cells, APACHE II score, and serum albumin can be constructed for diagnosing SAE and predicting prognosis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0257277X
Volume :
71
Issue :
6
Database :
Complementary Index
Journal :
Immunologic Research
Publication Type :
Academic Journal
Accession number :
173806420
Full Text :
https://doi.org/10.1007/s12026-023-09405-0