Paul A Wadsworth, Simon B Chen, Lauren Lawrence, Chandler C Ho, Joseph E Le, Paolo Libiran, Peter C Grayson, Marcela A Ferrada, David B Beck, Carlos J Suarez
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引用次数: 0
Abstract
Objective: VEXAS (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) is a recently described autoinflammatory syndrome caused by pathogenic variants in UBA1. However, there is a dearth of widely available UBA1 testing aside from large, expensive sequencing studies. Thus, we sought to rapidly develop, validate, and clinically deploy a cost-effective assay for detecting the most common UBA1 variants.
Methods: We developed, validated, and implemented a single base extension mass spectrometry assay for detecting pathogenic UBA1 variants at the c.121, c.122, and c.118-1 positions in patients with suspected VEXAS syndrome. Assay performance characteristics were assessed using peripheral blood and bone marrow samples from patients with (n = 8) and without (n = 36) VEXAS.
Results: The assay demonstrated a lower limit of detection (LOD) of 10% variant allele fraction for each mutation. The analytical accuracy, sensitivity, and specificity were each demonstrated to be 100% at the LOD, with excellent intra- and interrun reproducibility. Based on literature review of reported UBA1 variants associated with VEXAS, to date, this assay detects the most prevalent variants, with a clinical sensitivity of 97% or more.
Conclusions: A cost-effective, mass spectrometry-based assay with high analytical and clinical performance can feasibly be implemented in hospital laboratories for diagnosis of VEXAS syndrome.
期刊介绍:
The American Journal of Clinical Pathology (AJCP) is the official journal of the American Society for Clinical Pathology and the Academy of Clinical Laboratory Physicians and Scientists. It is a leading international journal for publication of articles concerning novel anatomic pathology and laboratory medicine observations on human disease. AJCP emphasizes articles that focus on the application of evolving technologies for the diagnosis and characterization of diseases and conditions, as well as those that have a direct link toward improving patient care.