PT  - JOURNAL ARTICLE
AU  - Xi Liang
AU  - Tianzhou Wu
AU  - Qi Chen
AU  - Jing Jiang
AU  - Yongpo Jiang
AU  - Yanyun Ruan
AU  - Huaping Zhang
AU  - Sheng Zhang
AU  - Chao Zhang
AU  - Peng Chen
AU  - Yuhang Lv
AU  - Jiaojiao Xin
AU  - Dongyan Shi
AU  - Xin Chen
AU  - Jun Li
AU  - Yinghe Xu
TI  - Serum proteomics reveals disorder of lipoprotein metabolism in sepsis
AID  - 10.26508/lsa.202101091
DP  - 2021 Oct 01
TA  - Life Science Alliance
PG  - e202101091
VI  - 4
IP  - 10
4099  - https://www.life-science-alliance.org/content/4/10/e202101091.short
4100  - https://www.life-science-alliance.org/content/4/10/e202101091.full
SO  - Life Sci. Alliance2021 Oct 01; 4
AB  - Sepsis is defined as an organ dysfunction syndrome and it has high mortality worldwide. This study analysed the proteome of serum from patients with sepsis to characterize the pathological mechanism and pathways involved in sepsis. A total of 59 patients with sepsis were enrolled for quantitative proteomic analysis. Weighted gene co-expression network analysis (WGCNA) was performed to construct a co-expression network specific to sepsis. Key regulatory modules that were detected were highly correlated with sepsis patients and related to multiple functional groups, including plasma lipoprotein particle remodeling, inflammatory response, and wound healing. Complement activation was significantly associated with sepsis-associated encephalopathy. Triglyceride/cholesterol homeostasis was found to be related to sepsis-associated acute kidney injury. Twelve hub proteins were identified, which might be predictive biomarkers of sepsis. External validation of the hub proteins showed their significantly differential expression in sepsis patients. This study identified that plasma lipoprotein processes played a crucial role in sepsis patients, that complement activation contributed to sepsis-associated encephalopathy, and that triglyceride/cholesterol homeostasis was associated with sepsis-associated acute kidney injury.