Nontargeted Identification of Plasma Proteins O-, N-, and S-Transmethylated by O-Methyl Organophosphates.
Huixin WangMichael G LeemingBlake J CochranJames M HookJunming HoGiang Thi Huong NguyenLing ZhongClaudiu T SupuranW Alexander DonaldPublished in: Analytical chemistry (2020)
Organophosphates (OPs) are used worldwide as pesticides. However, acute and chronic exposure to OPs can cause serious adverse health effects. The mechanism of delayed OP toxicity is thought to involve off-target inhibition of serine proteases, although the precise molecular details remain unclear owing to the lack of an analytical method for global detection of protein targets of OPs. Here, we report the development of a mass spectrometry method to identify OP-adducted proteins from complex mixtures in a nontargeted manner. Human plasma was incubated with the OP dichlorvos that was 50% isotopically labeled and 50% unlabeled. Proteins and protein adducts were extracted, digested, and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) to detect "twin ions" of peptides that were covalently modified by a chemical reaction with dichlorvos. The LC-MS/MS data were processed by a blended data analytics software (Xenophile) to detect the amino acid residue sites of proteins that were covalently modified by exposure to OPs. We discovered that OPs can transmethylate the N, S, and O side chains of His, Cys, Glu, Asp, and Lys residues. For model systems, such transmethylation reactions were confirmed by LC-MS, nuclear magnetic resonance (NMR), and rationalized using electronic structure calculations. Methylation of the ubiquitous antioxidant glutathione by dichlorvos can decrease the reducing/oxidizing equilibrium of glutathione in liver extracts, which has been implicated in diseases and pathological conditions associated with delayed OP toxicity.
Keyphrases
- amino acid
- magnetic resonance
- liquid chromatography tandem mass spectrometry
- mass spectrometry
- big data
- oxidative stress
- liquid chromatography
- electronic health record
- high resolution
- risk assessment
- protein protein
- liver failure
- molecular dynamics simulations
- high resolution mass spectrometry
- dna methylation
- machine learning
- magnetic resonance imaging
- gene expression
- genome wide
- anti inflammatory
- deep learning
- single molecule
- artificial intelligence
- quantum dots
- hepatitis b virus
- respiratory failure
- heavy metals
- water soluble