Paper
13 July 2009 Multiplex infectious disease microarrays: STAT serology on a drop of blood
Tom Ewart, Mark Tarnopolsky, Steve Baker, Sandeep Raha, Yuen-Yee Wong, Kathy Ciebiera
Author Affiliations +
Proceedings Volume 7380, Photodynamic Therapy: Back to the Future; 73806E (2009) https://doi.org/10.1117/12.822905
Event: 12th World Congress of the International Photodynamic Association, 2009, Seattle, Washington, United States
Abstract
New and resurgent viral and antibiotic-resistant bacterial diseases are being encountered worldwide. The US CDC now ranks hospital acquired infections among the top 10 leading causes of death in the US, costing $20 billion annually. Such nosocomial infections presently affect 5% - 10% of hospitalized patients leading to 2 million cases and 99,000 deaths annually. Until now, assays available to mount comprehensive surveillance of infectious disease exposure by biosecurity agencies and hospital infection control units have been too slow and too costly. In earlier clinical studies we have reported proteomic microarrays combining 13 autoimmune and 26 viral and bacterial pathogens that revealed correlations between autoimmune diseases and antecedent infections. In this work we have expanded the array to 40 viruses and bacteria and investigated a suspected role of human endogenous retroviruses in autoimmune neuropathies. Using scanning laser imaging, and fluorescence color multiplexing, serum IgG and IgM responses are measured concurrently on the same array, for 14 arrays (patient samples) per microscope slide in 15 minutes. Other advantages include internal calibration, 10 μL sample size, increased laboratory efficiency, and potential factor of 100 cost reduction.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tom Ewart, Mark Tarnopolsky, Steve Baker, Sandeep Raha, Yuen-Yee Wong, and Kathy Ciebiera "Multiplex infectious disease microarrays: STAT serology on a drop of blood", Proc. SPIE 7380, Photodynamic Therapy: Back to the Future, 73806E (13 July 2009); https://doi.org/10.1117/12.822905
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KEYWORDS
Artificial intelligence

Pathogens

Calibration

Proteins

Diagnostics

Viruses

Blood

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