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Evaluation of a Novel Extended Automated Particle-based Multi-analyte Assay for the Detection of Autoantibodies in the Diagnosis of Primary Biliary Cholangitis by Danilo Villalta; Andrea Seaman; Marychel Tiongson; Charles Warren; Chelsea Bentow; Nicola Bizzaro; Maria Grazia Alessio; Brunetta Porcelli; Gary L. Norman; Michael Mahler is a Medicine article available to read on EtoBox.
What is Evaluation of a Novel Extended Automated Particle-based Multi-analyte Assay for the Detection of Autoantibodies in the Diagnosis of Primary Biliary Cholangitis about?
## Abstract ## Background Anti-mitochondrial autoantibodies (AMA) detected by indirect immunofluorescence (IIF) on rodent tissues are the diagnostic marker of primary biliary cholangitis (PBC). However, up to 15% of patients with PBC are AMA-negative by IIF. In the effort to close the serological gap and improve the diagnostic sensitivity of PBC testing, recently, novel autoantibodies specific for PBC, such as kelch-like 12 (KLHL12, KLp epitope) and hexokinase 1 (HK1) have been described. In this study, we evaluated the autoantibody profile in a large cohort of PBC patients and in patients with other liver disease, including anti-HK1 and anti-KLp autoantibodies. ## Methods Sera of 194 PBC patients (126 AMA-IIF-positive and 68 AMA-IIF-negative) and 138 disease controls were tested for a panel of PBC-specific antibodies (MIT3, sp100, gp210, HK1, KLp) using a new automated particle-based multi-analyte technology (PMAT) assay on the Aptiva instrument (Inova). ## Results Selecting a cutoff yielding a specificity of >95% for all the markers, the sensitivity for anti-MIT3, anti-sp100, anti-gp210, anti-HK1 and anti-KLp in the PBC AMA-IIF-negative cohort was 20.6%, 16.2%, 23.5%, 22.0%, 17.6
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- Author
- Danilo Villalta; Andrea Seaman; Marychel Tiongson; Charles Warren; Chelsea Bentow; Nicola Bizzaro; Maria Grazia Alessio; Brunetta Porcelli; Gary L. Norman; Michael Mahler
- Publisher
- Walter de Gruyter GmbH
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)