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Peptide Identification Using Tandem Mass Spectrometry01:33

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
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Targeted Metabolomic Strategy for Epigenetic Modification-Related Metabolites Using Ultraperformance Liquid

Wenbin Cai1, Weiyan Sun2, Ziru Wu1

  • 1Department of Pharmacology, Tianjin Medical University, Tianjin 300070, China.

Journal of Proteome Research
|November 25, 2025
PubMed
Summary

We developed a sensitive method to measure the epigenetic metabolome, revealing key metabolites altered in diabetic cardiomyopathy. This approach aids in understanding gene expression regulation in disease.

Keywords:
coenzymediabetic cardiomyopathyepigeneticsmetabolomics

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Area of Science:

  • Metabolomics
  • Epigenetics
  • Biochemistry

Background:

  • Epigenetic modifications regulate gene expression.
  • Epigenetics-related metabolites, the "epigenetic metabolome," are crucial for these modifications.
  • Understanding the epigenetic metabolome is vital for disease research.

Purpose of the Study:

  • To develop a comprehensive targeted metabolomic method for quantifying 33 key epigenetic metabolites.
  • To establish a sensitive and reliable analytical approach for profiling the epigenetic metabolome.
  • To investigate alterations in the epigenetic metabolome in a mouse model of diabetic cardiomyopathy.

Main Methods:

  • Developed a targeted metabolomic method using liquid chromatography-mass spectrometry.
  • Analyzed metabolites including acetyl-CoAs, NAD+ metabolism intermediates, and acetylglucosamines.
  • Validated method performance with high sensitivity (LOQ < 16 ng) and precision (>80%).

Main Results:

  • Successfully profiled the epigenetic metabolome in a diabetic cardiomyopathy mouse model.
  • Identified 8 significantly altered metabolites.
  • Detected changes linked to DNA/histone methylation, acetylation, and O-GlcNAcylation.

Conclusions:

  • Established a reliable and sensitive method for detecting epigenetic metabolome alterations.
  • Demonstrated the method's utility in disease-related studies, specifically diabetic cardiomyopathy.
  • Provided insights into metabolite changes impacting epigenetic modifications in disease.