Frontiers in Immunology (Sep 2022)
Immunological risk factors for sepsis-associated delirium and mortality in ICU patients
- Wen Lei,
- Wen Lei,
- Wen Lei,
- Zhiyao Ren,
- Zhiyao Ren,
- Zhiyao Ren,
- Zhiyao Ren,
- Jun Su,
- Jun Su,
- Xinglong Zheng,
- Xinglong Zheng,
- Lijuan Gao,
- Lijuan Gao,
- Lijuan Gao,
- Yudai Xu,
- Yudai Xu,
- Yudai Xu,
- Jieping Deng,
- Jieping Deng,
- Jieping Deng,
- Chanchan Xiao,
- Chanchan Xiao,
- Chanchan Xiao,
- Shuai Sheng,
- Yu Cheng,
- Yu Cheng,
- Tianshun Ma,
- Tianshun Ma,
- Yu Liu,
- Pengcheng Wang,
- Pengcheng Wang,
- Pengcheng Wang,
- Oscar Junhong Luo,
- Oscar Junhong Luo,
- Guobing Chen,
- Guobing Chen,
- Guobing Chen,
- Guobing Chen,
- Zhigang Wang,
- Zhigang Wang
Affiliations
- Wen Lei
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Wen Lei
- Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Wen Lei
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Zhiyao Ren
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Zhiyao Ren
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China
- Zhiyao Ren
- National Health Commission (NHC) Key Laboratory of Male Reproduction and Genetics, Guangzhou, China
- Zhiyao Ren
- Department of Central Laboratory, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
- Jun Su
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Jun Su
- Department of Sonograph, The First Affiliated Hospital, Jinan University, Guangzhou, China
- Xinglong Zheng
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Xinglong Zheng
- Department of Critical Care Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China
- Lijuan Gao
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Lijuan Gao
- Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Lijuan Gao
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Yudai Xu
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Yudai Xu
- Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Yudai Xu
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Jieping Deng
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Jieping Deng
- Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Jieping Deng
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Chanchan Xiao
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Chanchan Xiao
- Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Chanchan Xiao
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Shuai Sheng
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Yu Cheng
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Yu Cheng
- Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Tianshun Ma
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Tianshun Ma
- Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Yu Liu
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Pengcheng Wang
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Pengcheng Wang
- Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Pengcheng Wang
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Oscar Junhong Luo
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China
- Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guobing Chen
- Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guobing Chen
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Guobing Chen
- Department of Sonograph, The First Affiliated Hospital, Jinan University, Guangzhou, China
- Zhigang Wang
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Jinan University, Guangzhou, China
- Zhigang Wang
- Department of Critical Care Medicine, The First Affiliated Hospital, Jinan University, Guangzhou, China
- DOI
- https://doi.org/10.3389/fimmu.2022.940779
- Journal volume & issue
-
Vol. 13
Abstract
BackgroundA major challenge in intervention of critical patients, especially sepsis-associated delirium (SAD) intervention, is the lack of predictive risk factors. As sepsis and SAD are heavily entangled with inflammatory and immunological processes, to identify the risk factors of SAD and mortality in the intensive care unit (ICU) and determine the underlying molecular mechanisms, the peripheral immune profiles of patients in the ICU were characterized.MethodsThis study contains a cohort of 52 critical patients who were admitted to the ICU of the First Affiliated Hospital of Jinan University. Comorbidity, including sepsis and SAD, of this cohort was diagnosed and recorded. Furthermore, peripheral blood samples were collected on days 1, 3, and 5 of admission for peripheral immune profiling with blood routine examination, flow cytometry, ELISA, RNA-seq, and qPCR.ResultsThe patients with SAD had higher mortality during ICU admission and within 28 days of discharge. Compared with survivors, nonsurvivors had higher neutrophilic granulocyte percentage, higher CRP concentration, lower monocyte count, lower monocyte percentage, lower C3 complement level, higher CD14loCD16+ monocytes percentage, and higher levels of IL-6 and TNFα. The CD14hiCD16- monocyte percentage manifested favorable prediction values for the occurrence of SAD. Differentially expressed genes between the nonsurvival and survival groups were mainly associated with immune response and metabolism process. The longitudinal expression pattern of SLC2A1 and STIMATE were different between nonsurvivors and survivors, which were validated by qPCR.ConclusionsNonsurvival critical patients have a distinct immune profile when compared with survival patients. CD14hiCD16- monocyte prevalence and expression levels of SLC2A1 and STIMATE may be predictors of SAD and 28-day mortality in ICU patients.
Keywords