| Literature DB >> 32727012 |
Hyeon-Jeong Lee1, Bo-Min Kim1, Soo Hee Lee2, Ju-Tae Sohn2,3, Jae Woong Choi4, Chang-Won Cho4, Hee-Do Hong4, Young Kyoung Rhee4, Hyun-Jin Kim1,5.
Abstract
Ginseng consumption has been shown to prevent and reduce many health risks, including cardiovascular disease. However, the ginseng-induced changes in biofluids and tissue metabolomes associated with blood health remain poorly understood. In this study, healthy rats were orally administered ginseng extracts or water for one month. Biofluid and tissue metabolites along with steroid hormones, plasma cytokines, and blood pressure factors were determined to elucidate the relationship between ginseng intake and blood vessel health. Moreover, the effect of ginseng extract on blood vessel tension was measured from the thoracic aorta. Ginseng intake decreased the levels of blood phospholipids, lysophosphatidylcholines and related enzymes, high blood pressure factors, and cytokines, and induced vasodilation. Moreover, ginseng intake decreased the level of renal oxidized glutathione. Overall, our findings suggest that ginseng intake can improve blood vessel health via modulation of vasodilation, oxidation stress, and pro-inflammatory cytokines. Moreover, the decrease in renal oxidized glutathione indicated that ginseng intake is positively related with the reduction in oxidative stress-induced renal dysfunction.Entities:
Keywords: blood vasodilation; ginseng; lysophosphatidylcholine; metabolomics; steroid hormones
Year: 2020 PMID: 32727012 PMCID: PMC7468881 DOI: 10.3390/nu12082238
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
General characteristics of rats fed a normal diet with or without ginseng administration.
| Control | Ginseng | ||
|---|---|---|---|
| GL100 mg/kg/day | GH200 mg/kg/day | ||
| Body weight gain (g) | 129.70 ± 15.74 | 123.90 ± 9.60 | 136.60±19.72 |
| Food intake (g/day) | 23.26 ± 0.66 | 23.98 ± 1.09 | 24.65 ± 1.15 |
| Adipose tissue (g) | 3.53 ± 0.40 | 3.43 ± 0.43 | 3.73 ± 0.59 |
| Kidney (g) | 1.11 ± 0.10 | 1.18 ± 0.09 | 1.14 ± 0.13 |
| Liver (g) | 10.53 ± 1.18 | 10.76 ± 0.98 | 11.06 ± 1.63 |
| TG (mg/dL) | 27.71 ± 1.70 | 24.00 ± 3.81 | 24.43 ± 4.47 |
| TC (mg/dL) | 122.17 ± 6.97 b | 116.8 ± 4.15 b | 101.17 ± 2.32 a |
| HDL (mg/dL) | 53.50 ± 3.02 b | 53.6 ± 2.30 b | 38.17 ± 3.43 a |
| LDL (mg/dL) | 64.37 ± 9.96 b | 58.4 ± 3.71 ab | 54.63 ± 3.90 a |
| oxLDL (ng/dL) | 17.48 ± 3.12 b | 10.35 ± 0.38 a | 10.56 ± 0.34 a |
| oxLDL/HDL | 0.33 ± 0.07 b | 0.19 ± 0.01 a | 0.28 ± 0.03 b |
| oxLDL/LDL | 0.28 ± 0.05 b | 0.18 ± 0.01 a | 0.19 ± 0.01 a |
| oxLDL/TC | 0.14 ± 0.02 b | 0.09 ± 0.00 a | 0.10 ± 0.01 a |
| TC/HDL | 2.29 ± 0.24 | 2.18 ± 0.10 | 2.67 ± 0.24 |
GL, 100 mg/kg of ginseng extract, GH, 200 mg/kg of ginseng extract; Values were expressed as mean ± SD (n = 10) and different letters in the same column indicated significant differences at p < 0.05. TG; triglyceride, TC; total cholesterol, HDL; high density lipoprotein cholesterol, LDL; low density lipoprotein cholesterol, oxLDL; oxidized low density lipoprotein.
Figure 1Partial least-squares discriminant analysis (PLS-DA) score plots of plasma metabolites (A), kidney metabolites (B), and plasma and urine steroid hormones (C). The qualification of the PLS-DA models was evaluated by R2X, R2Y, Q2, and p-values and validated by cross validation with a permutation test (n = 200). R2X and R2Y showed the fitting quality of the models and Q2 showed their prediction quality. Cross validation was evaluated by intercepts of R2X and R2Y and their final values.
Identified metabolites list obtained from UPLC-Q-TOF MS and identified sterol metabolites from multiple reaction monitoring (MRM) data of rats fed ginseng.
| Metabolite | VIP b | Fold Change | |||
|---|---|---|---|---|---|
| GL | GH | ||||
| Kidney | uracil | 1.83 × 102 | 0.94 | −1.14 | −1.19 |
| glutathione, oxidized | 5.64 × 104 | 1.40 | −2.78 | −2.87 | |
| succinyladenosine | 1.23 × 102 | 0.95 | −1.50 | −1.00 | |
| riboflavin | 2.00 × 103 | 1.21 | −1.01 | 1.35 | |
| leucyl histidine | 2.51 × 105 | 1.45 | −1.02 | −1.50 | |
| stearoylcarnitine | 2.70 × 102 | 0.96 | 1.47 | 1.60 | |
| Liver | carnitine | 3.30 × 102 | 1.10 | 1.06 | 1.46 |
| LPE(C20:4) | 2.40 × 103 | 2.54 | 1.16 | 1.57 | |
| LPC(C18:1) | 2.24 × 102 | 1.58 | 1.21 | −1.33 | |
| Plasma | LPE(C18:3) | 7.05 × 104 | 0.69 | −2.18 | −2.66 |
| LPC(C16:1) | 1.04 × 104 | 0.55 | −2.19 | −3.97 | |
| LPC(C20:4) | 7.56 × 105 | 1.00 | −2.20 | −4.50 | |
| LPC(C18:2) | 1.46 × 104 | 2.48 | −2.16 | −4.62 | |
| LPC(C18:3) | 1.23 × 103 | 0.17 | −2.32 | −3.39 | |
| LPC(C16:0) | 4.12 × 105 | 3.28 | −2.15 | −3.93 | |
| LPC(C18:1) | 2.12 × 104 | 1.88 | −2.76 | −6.58 | |
| LPC(C17:0) | 3.55 × 105 | 0.49 | −3.20 | −7.34 | |
| LPC(C18:0) | 5.20 × 105 | 2.41 | −3.03 | −5.90 | |
| Estradiol-3-glucuronate | 1.08 × 102 | 0.96 | 1.10 | −1.03 | |
| estrone-3-hemisuccinate | 9.92 × 103 | 1.00 | 1.47 | −1.30 | |
| 11α-hydroxyestradiol | 2.62 × 1023 | 0.79 | 1.13 | 1.10 | |
| 21α-hydroxyprogesterone | 3.87 × 103 | 1.02 | 1.53 | −1.08 | |
| Urine | 27-hydroxycholesterol | 1.78 × 102 | 0.94 | −1.25 | 1.19 |
| metandienone | 3.76 × 102 | 0.78 | 1.26 | 1.00 | |
| 2-hydroxyestrone-1+4-N-acetylcysteine | 3.16 × 102 | 0.90 | 1.98 | 2.13 | |
| 6-dehydroestradiol diacetate | 2.71 × 102 | 0.95 | 1.13 | 1.33 | |
| estriol-16,17-diacetate | 2.60 × 102 | 0.82 | 2.14 | −1.01 | |
| 2,3-dimethoxyestradiol | 3.57 × 102 | 0.85 | 1.48 | −1.62 | |
| 5-androstenediol | 4.17 × 102 | 0.86 | −1.42 | −1.43 | |
| 11β-hydroxyestradiol derivatives | 7.45 × 102 | 1.86 | 6.75 | 6.67 | |
a Variable importance in the projection (VIP) values were determined by PLS-DA. b p-Value were analyzed by ANOVA with Duncan’s test.
Figure 2Effect of ginseng extract on production of plasma proinflammatory cytokines (A), blood pressure-related factors (B), and the plasma LPC-generating enzyme activities (C). Plasma Angiotensin (ANG) II, lipoprotein-associated phospholipase A2 (Lp-PLA2) and lecithin cholesterol acyltransferase (LCAT) were determined using enzyme-linked immunosorbent assay (ELISA) kits. Plasma inflammatory cytokines including IFN-γ, IL-1β, IL-6, and TNF-α were measured using a luminex screen assay kit. Angiotensin-converting enzyme (ACE) inhibitory activity of ginseng and plasma ACE activity were measured at 228 nm by a spectrophotometer. Different letters on the bars indicate d significant differences at p < 0.05.
Figure 3Analysis of correlations between identified metabolites and steroid hormones and blood health-related factors. The correlation matrix was analyzed and visualized with a heat map generated with the R corrplot package. Positive correlations are shown in blue, and negative correlations are shown in red.
Figure 4Traces showing the dose–response curves induced by cumulative addition of the ginseng extract in endothelium-intact aorta precontracted with phenylephrine (A) and the effect of ginseng extract on phenylephrine-induced contraction of the isolated endothelium-intact (a; N = 9) and -denuded rat aorta (b; N = 5 ) and isolated endothelium-intact rat aorta pretreated with NW-nitro arginine methyl ester (L-NAME) (c; N = 8) (B). Data are shown as mean ± SEM and expressed as percentage of maximal contraction induced by phenylephrine. N indicates the number of isolated rat aorta. * P < 0.05, ** P < 0.01, and *** P < 0.001 vs. time-matched control.