Age-related changes after intracerebral hemorrhage: a comparative proteomics analysis of perihematomal tissue

Exp Biol Med (Maywood). 2024 Mar 25:249:10117. doi: 10.3389/ebm.2024.10117. eCollection 2024.

Abstract

The risk factors and causes of intracerebral hemorrhage (ICH) and the degree of functional recovery after ICH are distinct between young and elderly patients. The increasing incidence of ICH in young adults has become a concern; however, research on the molecules and pathways involved ICH in subjects of different ages is lacking. In this study, tandem mass tag (TMT)-based proteomics was utilized to examine the protein expression profiles of perihematomal tissue from young and aged mice 24 h after collagenase-induced ICH. Among the 5,129 quantified proteins, ICH induced 108 and 143 differentially expressed proteins (DEPs) in young and aged mice, respectively; specifically, there were 54 common DEPs, 54 unique DEPs in young mice and 89 unique DEPs in aged mice. In contrast, aging altered the expression of 58 proteins in the brain, resulting in 39 upregulated DEPs and 19 downregulated DEPs. Bioinformatics analysis indicated that ICH activated different proteins in complement pathways, coagulation cascades, the acute phase response, and the iron homeostasis signaling pathway in mice of both age groups. Protein-protein interaction (PPI) analysis and ingenuity pathway analysis (IPA) demonstrated that the unique DEPs in the young and aged mice were related to lipid metabolism and carbohydrate metabolism, respectively. Deeper paired-comparison analysis demonstrated that apolipoprotein M exhibited the most significant change in expression as a result of both aging and ICH. These results help illustrate age-related protein expression changes in the acute phase of ICH.

Keywords: aging; intracerebral hemorrhage; protein-protein interaction; proteomics; tandem mass tag.

MeSH terms

  • Aged
  • Aging
  • Animals
  • Brain / metabolism
  • Cerebral Hemorrhage* / metabolism
  • Humans
  • Mice
  • Proteins / metabolism
  • Proteomics* / methods

Substances

  • Proteins

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the National Key R&D Program of China (Grant No. 2017YFA0505700), the National Natural Science Foundation of China (No. 82071337), the National Key R&D Program of China (Nos. 2018YFC1312200 and 2018YFC1312203), the Chongqing High-end Young Investigator Project (No. 2019GDRC005), the Science and Technology Innovation Project of “Chengdu Chongqing Economic Circle” (No. KJCXZD2020019), the Excellent Youth Foundation of Chongqing Scientific Committee (cstc2021jcyj-jqX0029), the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences (Grant No. 2019PT320002), and the National Administration of Traditional Chinese Medicine: 2019 Project of Building Evidence-Based Practice Capacity for TCM (No. 2019XZZX-NB014).