| Literature DB >> 35035242 |
Young Kyun Kim1, Keun-Sang Yum1.
Abstract
BACKGROUND: Red ginseng extract boosts immunity against inflammation and cancer in the human body. However, studies on the effects of red ginseng extract on the gut microbiome remain unexplored.Entities:
Keywords: dietary supplements; gut microbiome; gut microbiome analysis; prebiotics; red ginseng extract
Year: 2021 PMID: 35035242 PMCID: PMC8753433 DOI: 10.1016/j.jgr.2021.04.005
Source DB: PubMed Journal: J Ginseng Res ISSN: 1226-8453 Impact factor: 6.060
Fig. 1Flow chart and study design. CBC, complete blood cell count; BC, blood chemistry; TFT, thyroid function test; GMA, gut microbial analysis.
General characteristics (including homogeneity by gender) of study subjects
| Variable | Classification | Sex | p-value | ||
|---|---|---|---|---|---|
| Male (n = 15) | Female (n = 37) | ||||
| Age (year) | Mean ± SD | 49.13 ± 7.02 | 48.05 ± 7.03 | 0.591 | |
| ≤49 | 37 (71.2) | 10 (66.7) | 27 (73.0) | 0.740 | |
| ≥50 | 15 (28.8) | 5 (33.3) | 10 (27.0) | ||
| BMI | Mean ± SD | 26.19 ± 3.77 | 24.57 ± 3.34 | 0.132 | |
| <23 | 10 (19.2) | 0 (0.0) | 10 (27.0) | 0.077 | |
| 23≤, <25 | 21 (40.4) | 8 (53.3) | 13 (35.2) | ||
| ≥25 | 21 (40.4) | 7 (46.7) | 14 (37.8) | ||
| Alcohol | No | 23 (44.2) | 2 (13.3) | 21 (56.8) | 0.011 |
| Yes | 29 (55.8) | 13 (86.7) | 16 (43.2) | ||
| Smoking | No | 44 (84.6) | 7 (46.7) | 37 (100.0) | <0.001 |
| Yes | 8 (15.4) | 8 (53.3) | 0 (0.0) | ||
| Medication | No | 29 (55.8) | 7 (46.7) | 22 (59.5) | 0.594 |
| Yes | 23 (44.2) | 8 (53.3) | 15 (40.5) | ||
| Hypertension | No | 43 (82.7) | 9 (60.0) | 34 (91.9) | 0.052 |
| Yes | 9 (17.3) | 6 (40.0) | 3 (8.1) | ||
| Dyslipidemia | No | 40 (76.9) | 10(66.7) | 30 (81.1) | 0.293 |
| Yes | 12 (23.1) | 5 (33.3) | 7 (18.9) | ||
| Diabetes Mellitus | No | 49 (94.2) | 14 (93.3) | 35 (94.6) | 1.000 |
| Yes | 3 (5.8) | 1 (6.7) | 2 (5.4) | ||
| CAD | No | 51 (98.1) | 15 (100.0) | 36 (97.3) | 1.000 |
| Yes | 1 (1.9) | 0 (0.0) | 1 (2.7) | ||
| CHF | No | 51 (98.1) | 15 (100.0) | 36 (97.3) | 1.000 |
| Yes | 1 (1.9) | 0 (0.0) | 1 (2.7) | ||
| CVA | No | 51 (98.1) | 15 (100.0) | 36(97.3) | 1.000 |
| Yes | 1 (1.9) | 0 (0.0) | 1 (2.7) | ||
| GI ds. | No | 49 (94.2) | 15 (100.0) | 34 (91.9) | 0.548 |
| Yes | 3 (5.8) | 0 (0.0) | 3 (8.1) | ||
| Other diseases | No | 7 (13.5) | 1 (6.7) | 6 (16.2) | 0.658 |
| Yes | 45 (86.5) | 14 (93.3) | 31 (83.8) | ||
Based on two-sample t-test, χ2-test.
BMI, body mass index; CAD, coronary artery disease; CHF, chronic heart failure; CVA, cerebrovascular accident; GI, gastrointestinal disease.
Mann-Whitney-sample t.
Diversity and microbiome differences
| Variable | Before (M ± SD) | After (M ± SD) | Kruskal-Wallis H | |
| Observed OTUs | 171.85 ± 54.53 | 212.48 ± 75.26 | 8.4464 | 0.003 |
| Chao1 | 183.69 ± 60.16 | 244.04 ± 90.31 | 12.1428 | <0.001 |
| Pielou E. | 0.7446 ± 0.0673 | 0.7380 ± 0.0579 | 1.1229 | 0.289 |
| Simpson | 0.9441 ± 0.0422 | 0.9523 ± 0.0292 | 0.5301 | 0.466 |
| Shannon | 5.4825 ± 0.7455 | 5.6524 ± 0.6523 | 0.9009 | 0.342 |
| Taxon | Before (M ± SD) | After (M ± SD) | Kruskal-Wallis H | |
| 0.6044 ± 1.6369 | 0.4219 ± 2.4430 | 5.3045 | 0.021 | |
| 0.5173 ± 1.7006 | 0.5905 ± 1.5190 | 4.1222 | 0.042 | |
| 0.0010 ± 0.0046 | 0.0018 ± 0.0039 | 4.6843 | 0.030 | |
| 0.5388 ± 2.2972 | 1.2943 ± 4.7879 | 3.9555 | 0.046 | |
| 0.0411 ± 0.2326 | 0.0716 ± 0.2052 | 5.4974 | 0.019 |
Based on the ANOVA.
Observed OTUs: Number of distinct features, Chao1 index: Estimates diversity from abundant data, Pielou's evenness: Measure of relative evenness of species richness, Simpson's index: Measures the relative abundance of the different species making up the sample richness, Shannonelouovas: Accounts for both abundance and evenness of the taxa present SCFA, short-chain fatty acids.
Kruskal-Wallis H test.
Fig. 2Differences in alpha diversity and beta diversity according to the pre-test. ∗ Alpha diversity: (A) Observed OTUs, (B) Chao 1, (C) Pielou evenness, (D) Simpson, (E) Shannon. ∗ Beta diversity: Bray-Curtis, Method name: PERMANOVA, Sample size: 104, Number of groups: 2, Test statistic: 3.423, p-value: 0.001, Number of permutations: 999; (F) Three-dimensional principal coordinates analysis plots using Bray-Curtis: Principal coordinates analysis depicting the beta diversity before and after ingestion of red ginseng BF: before (G), AF: after (H), PC: principal coordinate (I).
Phylum and genus level difference according to taxonomic classification
| Taxon (Phylum) | Before (M ± SD) | After (M ± SD) | Kruskal-Wallis H | ||
|---|---|---|---|---|---|
| Fusobacteria | 0.6158 ± 1.6365 | 0.4432 ± 2.4457 | 13.6573 | <0.001 | |
| Patescibacteria | 0.0410 ± 0.1316 | 0.0543 ± 0.1426 | 6.9591 | 0.008 | |
| Verrucomicrobia | 1.8669 ± 4.7497 | 1.4285 ± 4.0707 | 4.7015 | 0.030 | |
| Bacteria; Proteobacteria; Gammaproteobacteria; | Before (mean) | After (mean) | Kruskal | ||
| Genus | 0.06825 | 0.00045 | 26.049 | <0.001 | |
| Species | 0.06665 | 0 | 28.648 | <0.001 | |
Based on Kruskal-Wallis H test, Figure: Statistical package (SILVA 132v).
Fig. 3Differential taxonomy: linear discriminant analysis (LDA) score. The reduction of harmful bacteria and an increase in beneficial bacteria.