Researchers use 'big data' approach to identify melatonin as possible COVID-19 treatment

As COVID-19 continues to spread throughout the world, particularly with cases rising during what some have termed the "fall surge," repurposing drugs already approved by the U.S. Food and Drug Administration for new therapeutic purposes continues to be the most efficient and cost-effective approach to treat or prevent the disease. According to the findings published today in PLOS Biology, a novel artificial intelligence platform developed by Lerner Research Institute researchers to identify possible drugs for COVID-19 repurposing has revealed melatonin as a promising candidate. Analysis of patient data from Cleveland Clinic's COVID-19 registry also revealed that melatonin usage was associated with a nearly 30 percent reduced likelihood of testing positive for SARS-CoV-2 (the virus that causes COVID-19) after adjusting for age, race, smoking history and various disease comorbidities. Notably, the reduced likelihood of testing positive for the virus increased from 30 to 52 percent for African Americans when adjusted for the same variables. "It is very important to note these findings do not suggest people should start to take melatonin without consulting their physician," said Feixiong Cheng, Ph.D., assistant staff in Cleveland Clinic's Genomic Medicine Institute and lead author on the study.