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Optimized combination of Cervus nippon (Sika deer), Angelica (Dangui), and Rehmannia (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, Da Seul; Kim, Tae Gyun; Kim, Dahye; Lee, Kangwook; Ko, Seong-Gyu; Lee, Jin Hyup; Lee, Suk Hee; Kim, Jae Kyeom.
Afiliación
  • Pan JH; Department of Behavioral Health and Nutrition, University of Delaware, Newark, DE 19716 USA.
  • Lee MK; Department of Food and Nutrition, Chosun University, Gwangju, 61452 Republic of Korea.
  • Chang MH; Department of Food and Biotechnology, Korea University, 2511 Sejong-ro, Sejong, 30019 Republic of Korea.
  • Crowley LN; BK21 FOUR Research Group for Omics-based Bio-health in Food Industry, Korea University, Sejong, Republic of Korea.
  • Le BL; Department of Food and Biotechnology, Korea University, 2511 Sejong-ro, Sejong, 30019 Republic of Korea.
  • Lee DS; BK21 FOUR Research Group for Omics-based Bio-health in Food Industry, Korea University, Sejong, Republic of Korea.
  • Kim TG; Department of Behavioral Health and Nutrition, University of Delaware, Newark, DE 19716 USA.
  • Kim D; Department of Behavioral Health and Nutrition, University of Delaware, Newark, DE 19716 USA.
  • Lee K; Agricultural Microbiology Division, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, 55365 Republic of Korea.
  • Ko SG; The Bioinformatix Inc, Cheongju, 28674 Republic of Korea.
  • Lee JH; Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365 Republic of Korea.
  • Lee SH; Department of Food and Biotechnology, Korea University, 2511 Sejong-ro, Sejong, 30019 Republic of Korea.
  • Kim JK; Department of Preventive Medicine, College of Korean Medicine, Kyung Hee University, Seoul, 02447 Republic of Korea.
Food Sci Biotechnol ; 33(7): 1671-1683, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38623429
ABSTRACT
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 µg/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-κB 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. Supplementary Information The online version contains supplementary material available at 10.1007/s10068-023-01476-x.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Food Sci Biotechnol Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Food Sci Biotechnol Año: 2024 Tipo del documento: Article