High-throughput Flow Cytometry Cell-based Assay to Detect Antibodies to N-Methyl-D-aspartate Receptor or Dopamine-2 Receptor in Human Serum

作者： Mazen Amatoury1, Vera Merheb1, Jessica Langer1, Xin Maggie Wang2, Russell Clive Dale1, Fabienne Brilot1 1Institute for Neuroscience and Muscle Research, The Kids Research Institute at the Children's Hospital at Westmead,The University of Sydney, 2Flow Cytometry Centre,Westmead Millennium Institute for Medical Research

简介：

Overview

This study presents a high-throughput flow cytometry method for detecting neuronal anti-D2R or NMDA-R antibodies in patient samples. The approach aims to enhance the diagnosis and treatment of immune-mediated disorders by analyzing large cohorts efficiently.

Key Study Components

Area of Science

• Neuroscience
• Immunology
• Cell Biology

Background

• Live cell-based assays are increasingly used to detect antibodies against antigens.
• High-throughput techniques allow for the analysis of large patient cohorts.
• Identifying novel antibodies can significantly impact clinical outcomes.
• Flow cytometry provides quantitative data on antibody binding.

Purpose of Study

• To detect specific neuronal antibodies in patient samples.
• To utilize a high-throughput flow cytometry approach for efficiency.
• To improve diagnostic methods for immune-mediated disorders.

Methods Used

• Subcloning the full cDNA sequence of human D2R or NMDA-R into a plasmid.
• Transfecting a human cell line to express neuronal antigens on the cell surface.
• Incubating transfected cells with patient serum and a secondary antibody.
• Analyzing results using flow cytometry to detect antibody binding.

Main Results

• The flow cytometry assay is fast and quantitative.
• It enables the analysis of large cohorts of patient samples.
• Results indicate successful detection of neuronal antibodies.
• This method can enhance diagnosis and treatment strategies.

Conclusions

• The high-throughput flow cytometry method is effective for antibody detection.
• It holds potential for improving clinical diagnostics.
• Future studies may expand on this approach for other immune-mediated disorders.

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