Peptidomics Analysis Discloses That Novel Bioactive Peptides Participate in Necrotizing Enterocolitis in a Rat Model.
Yiwen LiuChanglin WangRenqiang YuJianfeng FanWeilai JinYuting ZhuYingzuo ShiYulei JingXiaolei WangZhengying LiJian ZhouLe ZhangPublished in: BioMed research international (2020)
Necrotizing enterocolitis (NEC) is a common devastating gastrointestinal disease in premature infants, the molecular mechanisms of which have not been fully elucidated. Recently, endogenous peptides have garnered much attention owing to their role in diagnosis and treatment. However, changes in the peptide expression of NEC intestinal tissues remain poorly understood. In the present study, a comparative peptidomics profiling analysis was performed between NEC and control intestinal tissues via liquid chromatography-tandem mass spectrometry (LC-MS). In total, 103 upregulated and 73 downregulated peptides were identified in the intestinal tissues (fold change ≥ 1.5, p < 0.05). Bioinformatics analysis revealed that these differentially expressed peptides were significantly associated with NEC pathophysiology, including apoptosis, the TGF-β signaling pathway, the Wnt signaling pathway, and the MAPK signaling pathway. Furthermore, two putative peptides could inhibit apoptosis and promote the migration of intestinal epithelial cells induced by lipopolysaccharide; these peptides were derived from the protein domains MT1 and EZRI, respectively. In conclusion, our study revealed that endogenous peptides are involved in the pathophysiologic mechanism of NEC; nevertheless, further exploration is required in this regard.
Keyphrases
- signaling pathway
- amino acid
- liquid chromatography tandem mass spectrometry
- pi k akt
- oxidative stress
- gene expression
- endoplasmic reticulum stress
- epithelial mesenchymal transition
- induced apoptosis
- stem cells
- single cell
- cell death
- cell cycle arrest
- cell proliferation
- inflammatory response
- poor prognosis
- bioinformatics analysis
- immune response
- lps induced
- long non coding rna
- high resolution
- solid phase extraction