Recent trends in anti-obesity and anti-inflammatory studies in modern health care
2019
BACKGROUND: This study was planned to investigate the research trends related to naturally derived anti-inflammatory and anti-obesity components. The main purpose of this study was to find out and develop natural health cosmetic ingredients which has high effects on lipid degradation, moisturizing and elasticity enhancement. OBJECTIVE: We all hope this research provided systematic and practical data that can suggest an opportunity to further develop new products. METHODS: This is a descriptive research which classified the natural and traditional components that have important obesity management effects based on the experimental technique (in vitro and in vivo). we investigated the effects of 13 natural raw materials selected through preliminary investigation on lipid metabolism related enzyme activity. We first introduced Ainsliaea acerifolea, Onion, pear, Sanguisorba, Limonium tetragonum, Cornus walteri, Loquat, and Loquat-which have recently been shown to be effective in anti-obesity tests, and then described the research methods by showing the effects of onion extracts, Glasswort, Pine Cone (Korean white pine), Orostachys japonicus, African mangoes, Pepper, and Clathratum (sea weed), which actually had effects on anti-obesity in the in vivo experiment. RESULTS: As a result of investigating the effect of 13 natural raw materials selected through a preliminary investigation on lipid metabolism related enzyme activity, the study found nature-derived ingredients which induce anti-inflammatory and enhance the anti-obesity enzyme activity, and ingredients showing myriads of biological activities such as anti-oxidant, body fat reduction, lowering of blood cholesterol, and weight control. CONCLUSION: In this paper, we would like to delve into the possibility of using natural components with natural lipid-lowering effect, and systematically and practically study if they can actually be helpful to develop new cosmetic products.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
17
References
4
Citations
NaN
KQI