Protective activity of mogroside V against ovalbumin-induced experimental allergic asthma in Kunming mice.
Jia-Le SongBo QianCailing PanFangfang LvHaipeng WangYang GaoYanyuan ZhouPublished in: Journal of food biochemistry (2019)
We investigated the antiasthmatic effect of mogroside V (Mog V) in mice with ovalbumin (OVA)-induced asthma. Administration of Mog V effectively attenuated OVA-induced airway hyperresponsiveness and reduced the number of inflammatory cells in bronchoalveolar lavage fluid (BALF). Histological examination showed that Mog V reduced the inflammatory infiltration of the lungs in the asthmatic mice. ELISAs suggested that Mog V effectively decreased the levels of IL-4, IL-5, and IL-13 in BALF and serum levels of OVA-specific IgE and IgG1 in the asthmatic mice. A quantitative reverse-transcription PCR assay also indicated that Mog V decreased the mRNA levels of IL-17A, IL-23, and RORγt in the lungs of the asthmatic mice (the opposite effect on Foxp3 mRNA). Furthermore, Mog V significantly reduced the OVA-induced activation of NF-κB in the lungs. This study indicates that Mog V alleviates OVA-induced inflammation in airways, and this effect is associated with a reduction in NF-κB activation. PRACTICAL APPLICATIONS: A traditional Chinese medicine herb has been reported to have a strong curative effect on asthma in clinical practice. Siraitia grosvenorii is known in China as a functional food product with the ability to improve lung function. Mogroside V is a triterpene glycoside isolated from S. grosvenorii. Nonetheless, the antiasthmatic effect of mogroside V has not been evaluated yet. The aim of this study was to investigate the antiasthmatic activity of mogroside V in mice with chemically induced asthma. The data from this study will provide some scientific evidence supporting wider use of S. grosvenorii in functional foods.
Keyphrases
- lung function
- high glucose
- chronic obstructive pulmonary disease
- diabetic rats
- oxidative stress
- cystic fibrosis
- high fat diet induced
- drug induced
- air pollution
- allergic rhinitis
- endothelial cells
- machine learning
- induced apoptosis
- mouse model
- electronic health record
- insulin resistance
- mass spectrometry
- regulatory t cells
- metabolic syndrome
- inflammatory response
- big data
- endoplasmic reticulum stress
- deep learning
- rectal cancer
- single cell
- high speed
- cell cycle arrest