RESUMEN
This study, aiming at finding biomarkers which can assist in the diagnosis of respiratory syncytial virus (RSV) pneumonia and analyzing the metabolic pathways of anti-RSV activity of Scutellaria baicalensis Georgi (SG)., explores the improvement effect of SG on mice models infected by RSV with the metabolomics technology based on UPLC-Q-Exactive HF X-MS. Mice models affected by RSV are established by nasal drip method and the changes of body weight, rectal temperature and pathological damage of lung tissue are evaluated. The lung tissue samples of mice in each group are collected and analyzed by UPLC-Q-Exactive HF X-MS. The differential metabolites of SG drug intervention are explored by metabolomics technology, and the metabolic pathways regulated by SG are analyzed. The results show that SG can significantly improve the pathological state of the lung tissue of the mice and make its body weight and rectal temperature tend to be normal. In the lung tissue samples, 46 biomarkers, such as guanine, L-asparagine, and arachidonic acid, are screened for disease development in RSV model mice. SG improved RSV infection by recalling 22 potential biomarkers, such as uric acid, arachidonic acid, and alanine. The 22 potential markers mainly involved 11 abnormal metabolic pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, and arachidonic acid metabolism, alanine, aspartic acid and glutamate metabolism are closely related to the five metabolic pathways. SG improves RSV-infected mice mainly by regulating amino acids, lipids, cofactors and vitamins and nucleotide metabolites. All animal experiments were conducted under the guidance and approval of the Animal Ethics Review Committee of Shandong University of Traditional Chinese Medicine. (approval number: SDUTCM20210311001).