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 Liang, Xi
A1 Wu, Tianzhou
A1 Chen, Qi
A1 Jiang, Jing
A1 Jiang, Yongpo
A1 Ruan, Yanyun
A1 Zhang, Huaping
A1 Zhang, Sheng
A1 Zhang, Chao
A1 Chen, Peng
A1 Lv, Yuhang
A1 Xin, Jiaojiao
A1 Shi, Dongyan
A1 Chen, Xin
A1 Li, Jun
A1 Xu, Yinghe
YR 2021
UL http://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.