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Optimized combination of <i>Cervus nippon</i> (Sika deer), <i>Angelica</i> (Dangui), and <i>Rehmannia</i> (Suk-jihwang) mitigates LPS-induced inflammation: exploring signaling pathways through plasma metabolomics
- Pan, Jeong Hoon;
- Lee, Min Kook;
- Chang, Moon Han;
- Crowley, Liana N.;
- Le, Brandy L.;
- ... Lee, Jin Hyup;
- 외 7명
WEB OF SCIENCE
1SCOPUS
1초록
This study aimed to determine the optimal combination of three anti-inflammatory materials [i.e., Cervus nippon Temminck (CT), Angelica gigas Nakai (AN), and Rehmannia glutinosa (RG)] for the strongest anti-inflammatory potential. Eighteen combinations of the three materials were tested in LPS-stimulated RAW264.7 cells via assessing nitric oxide (NO). The best combination from in vitro studies was administered to LPS-treated C57BL/6J mice for five days. Subsequently, plasma metabolites were profiled by bioinformatics analyses and validations. As results, 2, 20, and 50 mu g/mL of CT, AN, and RG (TM) were the most effective combination suppressing inflammation. In mice, TM mitigated hepatic inflammatory markers. Similarly, the metabolomics indicated that TM may suppress NF-kappa B signaling pathway, thereby alleviating hepatic inflammation. TM also decreased systemic and hepatic pro-inflammatory cytokines. Collectively, we found the optimal combination of TM for mitigating inflammation; thus further studies on safety, mechanisms, and clinical models are warranted for human applications.
키워드
- 제목
- Optimized combination of <i>Cervus nippon</i> (Sika deer), <i>Angelica</i> (Dangui), and <i>Rehmannia</i> (Suk-jihwang) mitigates LPS-induced inflammation: exploring signaling pathways through plasma metabolomics
- 제목 (타언어)
- Optimized combination of Cervus nippon (Sika deer), Angelica (Dangui), and Rehmannia (Suk-jihwang) mitigates LPS-induced inflammation: exploring signaling pathways through plasma metabolomics
- 저자
- Pan, Jeong Hoon; Lee, Min Kook; Chang, Moon Han; Crowley, Liana N.; Le, Brandy L.; Lee, Da Seul; Kim, Tae Gyun; Kim, Dahye; Lee, Kangwook; Ko, Seong-Gyu; Lee, Jin Hyup; Lee, Suk Hee; Kim, Jae Kyeom
- 발행일
- 2024-01
- 유형
- Article; Early Access
- 권
- 33
- 호
- 7
- 페이지
- 1671 ~ 1683