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).