LC-MS/MS Insight into Vitamin C Restoration to Metabolic Disorder Evoked by Amyloid β in Caenorhabditis elegans CL2006.
Simeng ZhangYuchan DengAnnan ZhangLili YanZhichao ZhangJing WeiQiang ZhangPublished in: Metabolites (2022)
The transitional expression and aggregation of amyloid β (Aβ) are the most important causative factors leading to the deterioration of Alzheimer's disease (AD), a commonly occurring metabolic disease among older people. Antioxidant agents such as vitamin C (Vc) have shown potential effects against AD and aging. We applied an liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) method and differential metabolites strategy to explore the metabolic disorders and Vc restoration in a human Aβ transgenic ( Punc-54 ::Aβ 1-42 ) nematode model CL2006. We combined the LC-MS/MS investigation with the KEGG and HMDB databases and the CFM-ID machine-learning model to identify and qualify the metabolites with important physiological roles. The differential metabolites responding to Aβ activation and Vc treatment were filtered out and submitted to enrichment analysis. The enrichment showed that Aβ mainly caused abnormal biosynthesis and metabolism pathways of phenylalanine, tyrosine and tryptophan biosynthesis, as well as arginine and proline metabolism. Vc reversed the abnormally changed metabolites tryptophan, anthranilate, indole and indole-3-acetaldehyde. Vc restoration affected the tryptophan metabolism and the biosynthesis of phenylalanine, tyrosine and tryptophan. Our findings provide supporting evidence for understanding the metabolic abnormalities in neurodegenerative diseases and the repairing effect of drug interventions.
Keyphrases
- tandem mass spectrometry
- liquid chromatography
- ms ms
- ultra high performance liquid chromatography
- machine learning
- mass spectrometry
- high performance liquid chromatography
- simultaneous determination
- high resolution mass spectrometry
- gas chromatography
- poor prognosis
- cell wall
- oxidative stress
- emergency department
- nitric oxide
- artificial intelligence
- computed tomography
- amino acid
- risk assessment
- binding protein