Validation of diagnostic and predictive biomarkers for hereditary angioedema via plasma N-glycomics.

ABSTRACT:

Background

Hereditary angioedema (HAE) is a rare disease with heterogeneous clinical symptoms. It is vitally important to predict whether an HAE patient will develop severe symptoms in clinical practice, but there are currently no predictive biomarkers for HAE stratification. Plasma N-glycomes are disease-specific and have great potential for the discovery of non-invasive biomarkers. In this study, we profiled the plasma N-glycome of HAE patients from two independent cohorts to identify candidate biomarkers.

Methods

Linkage-specific sialylation derivatization combined with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry detection and automated data processing was employed to analyze the plasma N-glycome of two independent type-1 HAE cohorts.

R

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC8712629 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature