Super Saliva Test

The advent of antiretroviral therapies to control HIV has turned a once-terminal illness into a relatively manageable disease when caught early enough. But although great strides have been made to curb the virus, 36.7 million people worldwide currently live with HIV – nearly half of whom are unsure of the status of their infection (1). Clearly, without access to adequate testing, it’s difficult for both patients and the medical community to keep track. And that’s why Carolyn Bertozzi and her team decided to develop a highly sensitive HIV assay for saliva (2).

At the moment, there are two main types of tests for screening HIV, each with pros and cons: blood tests are highly sensitive, but have a poor rate of compliance; oral fluid tests, on the other hand, although noninvasive, typically suffer from poor sensitivity because of the lower concentrations of anti-HIV antibodies. Bertozzi’s new oral fluid assay addresses the challenge by using antibody detection by agglutination-PCR (ADAP) – making it 1,000–10,000 times more sensitive than existing tests. “ADAP is based on the concept of proximity ligation PCR, which we knew had the capability of ultrasensitive DNA detection. This ADAP was designed to bring the sensitivity of PCR to the problem of antibody detection,” says Bertozzi, lead investigator and Anne T. and Robert M. Bass Professor of Chemistry at Stanford University. “The ADAP test can enable earlier detection of HIV infection in the context of population screening using oral fluid, which is easier to collect and far less risky for healthcare workers because, unlike blood, oral fluid is not infectious.”

Bertozzi acknowledges that translating the research to the clinic is no small feat: “The biggest hurdles that lie ahead are larger studies with longitudinal data to judge how ADAP compares with current oral and blood-based tests.” But the team sees great promise in the ADAP assays, and plans to develop analogous tests for other infectious and autoimmune diseases that produce autoantibody biomarkers.