| Literature DB >> 25320715 |
Myung-Soo Shon1, Yunjeong Lee2, Ji-Hye Song1, Taehyun Park3, Jun Kyoung Lee3, Minju Kim4, Eunju Park2, Gyo-Nam Kim1.
Abstract
Many recent studies have focused on maintaining a healthy life by preventing and/or postponing the aging process. Numerous studies have reported that continuous exposure to reactive oxygen species can stimulate skin aging and that excessive accumulation of fat can cause an impaired skin barrier and tissue structure alterations. Thus, the maintenance of antioxidant homeostasis and the suppression of adipose accumulation are important strategies for skin anti-aging. Here, we prepared three types of extracts [whole juice, acetone-perchloric acid (PCA), and ethanol] from 20 fruits and medicinal herbs native to the Gyeongnam area of Korea. The total phenolic content of each extract was analyzed, and we observed higher total phenolic contents in the medicinal herbs. Consistent with this, the results of the oxygen radical absorbance activity capacity assay indicated that the in vitro antioxidant activities of the medicinal herb extracts were stronger than those of the fruit extracts. The fruits and medicinal herbs had strong effects on cell-based systems, including H2O2-induced oxidative stress in human keratinocytes and 3T3-L1 lipid accumulation. Nishimura Wase persimmon, Taishu persimmon, wrinkled giant hyssop, sweet wormwood, Chinese cedar, red perilla, tan shen, hiyodori-jogo, and cramp bark may be natural anti-aging materials with effective antioxidant and anti-adipogenic activities. Taken together, our findings may provide scientific evidence supporting the development of functional foods and nutraceuticals from fruits and medicinal herbs.Entities:
Keywords: anti-aging; fruits; gyeongnam; medicinal herbs; skin
Year: 2014 PMID: 25320715 PMCID: PMC4195623 DOI: 10.3746/pnf.2014.19.3.178
Source DB: PubMed Journal: Prev Nutr Food Sci ISSN: 2287-1098
The list of fruits and medicinal herbs cultivated in the Gyeongnam area of Korea
| Common name | Scientific name | Remarks |
|---|---|---|
| Matsumoto Wase Fuyu | MWF | |
| Nishimura Wase persimmon | NWP | |
| Taishu persimmon | TP | |
| Jonathan apple | JA | |
| Tsugaru apple | TA | |
| Pear (Hadong) | PH | |
| Pear (Jinju) | PJ | |
| Cherry tomato | CT | |
| Green grapes | GG | |
| Kyoho grapes | KG | |
| Wrinkled giant hyssop | WGH | |
| Japanese angelica tree | JAT | |
| Sweet wormwood | SW | |
| Chinese cedar | CC | |
| Cudrang | CR | |
| Tu-chung | TC | |
| Red perilla | RP | |
| Tan shen | TS | |
| Hiyodori-jogo | HJ | |
| Crampbark | CB |
Fig. 1Timeline of 3T3-L1 differentiation and ethanol extract treatment. Differentiation medium (DM) was composed with DMEM supplemented with 10% FBS and 100 units/mL penicillin-streptomycin (FBS-medium) and containing 500 μM IBMX, 5.2 μM dexamethasone, and 167 nM insulin. Post-diffenriation medium (Post-DM) was contained with FBS-medium and 167 nM insulin.
The extraction efficiency of whole juices prepared from fruits and medicinal herbs (unit: %)
| Test sample | Extraction efficiency | Test sample | Extraction efficiency |
|---|---|---|---|
| MWF | 46.06 | WGH | 27.16 |
| NWP | 52.63 | JAT | 35.41 |
| TP | 45.30 | SW | 1.82 |
| JA | 54.07 | CC | 5.32 |
| TA | 69.97 | CR | 21.89 |
| PH | 86.09 | TC | 22.75 |
| PJ | 79.36 | RP | 37.78 |
| CT | 66.41 | TS | 18.77 |
| GG | 85.63 | HJ | 56.40 |
| KG | 83.46 | CB | 8.05 |
Test samples listed are the same as those described in Table 1.
The total phenolic content of ethanol extracts prepared from fruits and medicinal herbs (unit: mg/100 g)
| Test sample | Total phenolic content | Test sample | Total phenolic content |
|---|---|---|---|
| MWF | 20.8±0.6b | WGH | 742.9±2.5l |
| NWP | 14.8±0.3ab | JAT | 1,187.9±9.9p |
| TP | 12.4±0.5a | SW | 318.2±1.2j |
| JA | 67.3±1.0d | CC | 1,482.4±11.9q |
| TA | 77.9±2.1e | CR | 439.3±5.8k |
| PH | 17.4±0.3ab | TC | 1,047.2±2.2o |
| PJ | 28.3±0.7c | RP | 751.5±4.2m |
| CT | 81.5±0.3e | TS | 225.3±0.3g |
| GG | 253.0±1.5h | HJ | 264.3±1.9i |
| KG | 108.1±0.9f | CB | 857.6±0.3n |
Test samples listed are the same as those described in Table 1. The total phenolic content of fruit and medicinal herb extracts was determinedby the Folin-Ciocalteu method.
Values followed by different superscript letters (a–q) are significantly different from one another according to ANOVA with Duncan’s multiple range tests (P<0.05).
Fig. 2Peroxyl radical scavenging activity of fruits and medicinal herbs. Whole juice (A), Acetone-PCA extracts from fruit and medicinal herb residues (i.e., wet pulp) (B). Test samples are the same as those described in Table 1. ORAC values were calculated by dividing the area under the sample curve by the area under the Trolox curve. Values with different letters (a-i) are significantly different from one another according to ANOVA with Duncan’s multiple range tests (P<0.01).
Fig. 3Cell viability of human kerati-nocytes treated with ethanol extracts. Test samples are the same as those described in Table 1. Cytotoxicity was evaluated by MTT assay. Human keratinocytes were treated with 100 μg/mL and 400 μg/mL doses of fruit and medicinal herb extracts for 24 h. Control group (no treatment) vs. treatment group differences were determined by one-way ANOVA (P<0.05) followed by Student’s t-tests (*P<0.05, **P<0.01).
Fig. 4Inhibitory activity of ethanol extracts against H2O2-induced oxidative stress in human keratinocytes. Test samples are the same as those described in Table 1. Human keratinocytes were exposed to H2O2 for 1 h and then treated with 100 μg/mL doses of fruit and medicinal herb extracts for 30 min. Control group (no treatment) vs. treatment group differences were determined by one-way ANOVA (P<0.05) followed by Student’s t-tests (*P<0.05, **P<0.01, and ***P<0.001).
Fig. 5Inhibitory activity of fruit and medicinal herb extracts on 3T3-L1 lipid accumulation. Test samples are the same as those described in Table 1. Inhibitory activities of 20 fruit and medicinal herb extracts on 3T3-L1 lipid accumulation as determined by ORO staining. Control group (no treatment) vs. treatment group differences were determined by one-way ANOVA (P<0.05) followed by Student’s t-tests (*P<0.05, **P< 0.01, and ***P<0.001).