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Quantitative enrichment of amyloid precursors refines mass spectrometry-based amyloidosis diagnosis
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Abstract
Introduction
Amyloidosis typing is crucial to determine the best therapeutic strategy for patients. Since conventional histological techniques often fail, the identification of amyloid precursors by mass spectrometry became the new standard. However, without quantification, selecting the amyloid precursor from proteins that may be ubiquitous under non-pathological conditions may be equivocal. Therefore, we quantified protein enrichment in amyloid deposits to improve amyloidosis typing.
Methods
Protein enrichment was measured by extracted ion chromatogram-based label free quantification by comparing a microdissected amyloid area with a non-amyloid area. We assessed the discrimination ability of candidate precursors with this approach compared to the two practiced identification methods.
Results
As a proof-of-concept, we selected 9 cases including the most common amyloidosis subtypes, 6 typed by immunohistochemistry and 3 inconclusive by immunohistochemistry. Proteins associated with amyloid deposits were identified in all samples, confirming the pathology. Where the routine clinical mass spectrometric identification techniques allowed unambiguous conclusions for 3 of 9 cases, quantification of the enrichment ratio in amyloid deposits allowed unambiguous precursor selection in all cases.
Conclusion
Quantification of precursor enrichment in amyloid deposits is a promising optimization for amyloidosis typing. Incorporated into routine clinical processes, it will improve patient care in difficult diagnostic situations.
Springer Science and Business Media LLC
Title: Quantitative enrichment of amyloid precursors refines mass spectrometry-based amyloidosis diagnosis
Description:
Abstract
Introduction
Amyloidosis typing is crucial to determine the best therapeutic strategy for patients.
Since conventional histological techniques often fail, the identification of amyloid precursors by mass spectrometry became the new standard.
However, without quantification, selecting the amyloid precursor from proteins that may be ubiquitous under non-pathological conditions may be equivocal.
Therefore, we quantified protein enrichment in amyloid deposits to improve amyloidosis typing.
Methods
Protein enrichment was measured by extracted ion chromatogram-based label free quantification by comparing a microdissected amyloid area with a non-amyloid area.
We assessed the discrimination ability of candidate precursors with this approach compared to the two practiced identification methods.
Results
As a proof-of-concept, we selected 9 cases including the most common amyloidosis subtypes, 6 typed by immunohistochemistry and 3 inconclusive by immunohistochemistry.
Proteins associated with amyloid deposits were identified in all samples, confirming the pathology.
Where the routine clinical mass spectrometric identification techniques allowed unambiguous conclusions for 3 of 9 cases, quantification of the enrichment ratio in amyloid deposits allowed unambiguous precursor selection in all cases.
Conclusion
Quantification of precursor enrichment in amyloid deposits is a promising optimization for amyloidosis typing.
Incorporated into routine clinical processes, it will improve patient care in difficult diagnostic situations.
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