Proteome characterization of liver-kidney comorbidity after microbial sepsis.
Yuan GuiYanbao YuWenjia WangYuan-Yuan WangHanyue LuSarah MozdzierzKirollos EskanderYi-Han LinHanwen LiXiao-Jun TianSilvia LiuDong ZhouPublished in: FASEB journal : official publication of the Federation of American Societies for Experimental Biology (2024)
Sepsis is a life-threatening condition that occurs when the body responds to an infection but subsequently triggers widespread inflammation and impaired blood flow. These pathologic responses can rapidly cause multiple organ dysfunction or failure either one by one or simultaneously. The fundamental common mechanisms involved in sepsis-induced multiple organ dysfunction remain unclear. Here, employing quantitative global and phosphoproteomics, we examine the liver's temporal proteome and phosphoproteome changes after moderate sepsis induced by cecum ligation and puncture. In total, 4593 global proteins and 1186 phosphoproteins according to 3275 phosphosites were identified. To characterize the liver-kidney comorbidity after sepsis, we developed a mathematical model and performed cross-analyses of liver and kidney proteome data obtained from the same set of mice. Beyond immune response, we showed the commonly disturbed pathways and key regulators of the liver-kidney comorbidity are linked to energy metabolism and consumption. Our data provide open resources to understand the communication between the liver and kidney as they work to fight infection and maintain homeostasis.
Keyphrases
- acute kidney injury
- intensive care unit
- septic shock
- immune response
- blood flow
- oxidative stress
- electronic health record
- microbial community
- metabolic syndrome
- high resolution
- adipose tissue
- diabetic rats
- transcription factor
- mass spectrometry
- machine learning
- skeletal muscle
- artificial intelligence
- inflammatory response
- rectal cancer
- deep learning