A Bioinformatic Approach for the Discovery of Antiaging Effects of Baicalein from Scutellaria baicalensis Georgi

Aging is one of the most complicated phenomena and is the main risk factor for age-related diseases. Based on the public aging-related gene data, we propose a computational approach to predict the antiaging activities of compounds. This approach integrates network pharmacology and target fishing methods with the aim of identifying a potential antiaging compound from Scutellaria baicalensis Georgi. Utilizing this approach and subsequent experimental validation, it was found that baicalein at concentrations of 0.04, 0.2, and 1 mg/mL extended the mean, median, and maximum life spans in Drosophila melanogaster. Particularly, 0.2 mg/mL baicalein extends the mean and median life spans in male flies by 19.80% and 25.64%, respectively. Meanwhile, it was discovered that baicalein improved fertility in flies. Baicalein exerts antiaging effects likely through attenuating oxidative stress, including increases of CAT activity and GSH level and decrease of GSSG level.