RT Journal Article
SR Electronic
T1 Serum proteomics reveals disorder of lipoprotein metabolism in sepsis
JF Life Science Alliance
JO Life Sci. Alliance
FD Life Science Alliance LLC
SP e202101091
DO 10.26508/lsa.202101091
VO 4
IS 10
A1 Xi Liang
A1 Tianzhou Wu
A1 Qi Chen
A1 Jing Jiang
A1 Yongpo Jiang
A1 Yanyun Ruan
A1 Huaping Zhang
A1 Sheng Zhang
A1 Chao Zhang
A1 Peng Chen
A1 Yuhang Lv
A1 Jiaojiao Xin
A1 Dongyan Shi
A1 Xin Chen
A1 Jun Li
A1 Yinghe Xu
YR 2021
UL https://www.life-science-alliance.org/content/4/10/e202101091.abstract
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.