Alpha-1-Antitrypsin (A1AT) Proteotyping by LC-MS/MS.
Jennifer Kemp1, Paula M Ladwig1, Melissa R Snyder2
1Division of Clinical Biochemistry and Immunology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Methods in Molecular Biology (Clifton, N.J.)
|December 18, 2023
Summary
Proteotyping, a mass spectrometry method, accurately identifies alpha-1-antitrypsin (A1AT) deficiency alleles (S and Z) by detecting mass differences in digested A1AT peptides. This aids in assessing A1AT deficiency in patients.
Area of Science:
- Proteomics
- Mass Spectrometry
- Clinical Diagnostics
Background:
- Alpha-1-antitrypsin (A1AT) deficiency diagnosis relies on serum protein quantitation and allelic variant determination.
- Current phenotyping and genotyping methods have limitations.
- Mass spectrometry offers a powerful alternative for protein and peptide analysis.
Purpose of the Study:
- To introduce and validate a proteomic method, termed proteotyping, for detecting common A1AT deficiency alleles (S and Z).
- To evaluate the utility of mass spectrometry in identifying specific A1AT allelic variants.
Main Methods:
- Proteotyping involves trypsin digestion of A1AT followed by tandem mass spectrometry.
- The method detects mass differences in specific peptides resulting from S and Z mutations compared to wild-type (M) alleles.
- Qualitative analysis of peptide patterns is performed.
Main Results:
- Proteotyping successfully differentiates peptides from S and Z alleles from those of wild-type M alleles based on mass.
- The method identifies the presence of deficiency alleles by analyzing characteristic peptide mass shifts.
- Combined with immunoassay quantitation, proteotyping allows accurate assessment of A1AT deficiency alleles.
Conclusions:
- Proteotyping is a viable mass spectrometry-based approach for identifying common A1AT deficiency alleles.
- This method provides an alternative diagnostic tool for A1AT deficiency.
- The technique leverages mass differences in digested peptides for accurate allele detection.


