Detecting HIV Diagnostic Antibodies with DNA Nanomachines

Article

New research may revolutionize the slow, cumbersome and expensive process of detecting the antibodies that can help with the diagnosis of infectious and auto-immune diseases such as rheumatoid arthritis and HIV. An international team of researchers have designed and synthetized a nanometer-scale DNA "machine" whose customized modifications enable it to recognize a specific target antibody. Their new approach, which they described this month in Angewandte Chemie, promises to support the development of rapid, low-cost antibody detection at the point-of-care, eliminating the treatment initiation delays and increasing healthcare costs associated with current techniques.

The light-generating DNA antibody detecting nanomachine is illustrated here in action, bound to an antibody. Image courtesy of Marco Tripodi

New research may revolutionize the slow, cumbersome and expensive process of detecting the antibodies that can help with the diagnosis of infectious and auto-immune diseases such as rheumatoid arthritis and HIV. An international team of researchers have designed and synthetized a nanometer-scale DNA "machine" whose customized modifications enable it to recognize a specific target antibody. Their new approach, which they described this month in Angewandte Chemie, promises to support the development of rapid, low-cost antibody detection at the point-of-care, eliminating the treatment initiation delays and increasing healthcare costs associated with current techniques.

The binding of the antibody to the DNA machine causes a structural change (or switch), which generates a light signal. The sensor does not need to be chemically activated and is rapid - acting within five minutes - enabling the targeted antibodies to be easily detected, even in complex clinical samples such as blood serum.

"One of the advantages of our approach is that it is highly versatile," says professor Francesco Ricci, of the University of Rome, Tor Vergata, senior co-author of the study. "This DNA nanomachine can be in fact custom-modified so that it can detect a huge range of antibodies, this makes our platform adaptable for many different diseases".

"Our modular platform provides significant advantages over existing methods for the detection of antibodies," added Prof. Vallée-Bélisle of the University of Montreal, the other senior co-author of the paper. "It is rapid, does not require reagent chemicals, and may prove to be useful in a range of different applications such as point-of-care diagnostics and bioimaging".

"Another nice feature of our this platform is its low-cost," says professor Kevin Plaxco of the University of California, Santa Barbara. "The materials needed for one assay cost about 15 cents, making our approach very competitive in comparison with other quantitative approaches."

"We are excited by these preliminary results, but we are looking forward to improve our sensing platform even more" says Simona Ranallo, a PhD student in the group of professor Ricci at the University of Rome and first-author of the paper. "For example, we could adapt our platform so that the signal of the nanoswitch may be read using a mobile phone. This will make our approach really available to anyone! We are working on this idea and we would like to start involving diagnostic companies."

Source: University of Montreal
 

Related Videos
Jill Holdsworth, MS, CIC, FAPIC, CRCST, NREMT, CHL
Jill Holdsworth, MS, CIC, FAPIC, CRCSR, NREMT, CHL, and Katie Belski, BSHCA, CRCST, CHL, CIS
Baby visiting a pediatric facility  (Adobe Stock 448959249 by Rawpixel.com)
Antimicrobial Resistance (Adobe Stock unknown)
Anne Meneghetti, MD, speaking with Infection Control Today
Patient Safety: Infection Control Today's Trending Topic for March
Infection Control Today® (ICT®) talks with John Kimsey, vice president of processing optimization and customer success for Steris.
Picture at AORN’s International Surgical Conference & Expo 2024
Infection Control Today and Contagion are collaborating for Rare Disease Month.
Related Content