Journal of Traditional Chinese Medicine ›› 2026, Vol. 46 ›› Issue (5): 1149-1159.DOI: 10.19852/j.cnki.jtcm.2026.05.009
• Original Articles • Previous Articles Next Articles
ZHOU Zunming1,2, TAN Meiao2,3, YU Xiaoqing4, KE Xuehong4(
), HUANG Keer2(
)
Received:2025-07-04
Accepted:2026-01-11
Online:2026-10-15
Published:2026-10-09
Contact:
HUANG Keer, Department of Gastroenterology, the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China. hke1234567@163.com; KE Xuehong, Laboratory Center, the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China, 2804613799@qq.com
Supported by:ZHOU Zunming, TAN Meiao, YU Xiaoqing, KE Xuehong, HUANG Keer. Qige decoction (芪葛汤) ameliorates hyperlipidemia in rats by modulating the intestinal microbiota and liver metabolism[J]. Journal of Traditional Chinese Medicine, 2026, 46(5): 1149-1159.
| Group | n | TC | TG | HDL-C | LDL-C |
|---|---|---|---|---|---|
| CON | 9 | 1.13±0.11a | 0.63±0.12a | 0.85±0.16a | 0.83±0.12a |
| MOD | 9 | 2.64±0.43 | 1.37±0.22 | 0.58±0.15 | 1.37±0.28 |
| ATO | 9 | 1.83±0.51a | 0.75±0.22a | 0.58±0.13 | 0.90±0.30a |
| QG | 9 | 1.868±0.25a | 0.89±0.21a | 0.61±0.14 | 1.01±0.17a |
| HG | 9 | 2.26±0.33b | 1.22±0.19c | 0.64±0.24 | 1.23±0.36 |
| CP | 9 | 2.23±0.35b | 1.22±0.21c | 0.65±0.20 | 1.19±0.19 |
Table 1 Effect of QG on serum lipid profile in HLP rats (mmol/L, $\bar{x}±s$)
| Group | n | TC | TG | HDL-C | LDL-C |
|---|---|---|---|---|---|
| CON | 9 | 1.13±0.11a | 0.63±0.12a | 0.85±0.16a | 0.83±0.12a |
| MOD | 9 | 2.64±0.43 | 1.37±0.22 | 0.58±0.15 | 1.37±0.28 |
| ATO | 9 | 1.83±0.51a | 0.75±0.22a | 0.58±0.13 | 0.90±0.30a |
| QG | 9 | 1.868±0.25a | 0.89±0.21a | 0.61±0.14 | 1.01±0.17a |
| HG | 9 | 2.26±0.33b | 1.22±0.19c | 0.64±0.24 | 1.23±0.36 |
| CP | 9 | 2.23±0.35b | 1.22±0.21c | 0.65±0.20 | 1.19±0.19 |
Figure 1 Effect of QG on liver pathology in HLP rats A: liver HE staining at magnification × 200. Black arrows indicate the steatosis of hepatocytes; B: liver oil red O staining at magnification × 400; C: the proportion of liver fat area from oil red O staining Red area indicate the steatosis of hepatocytes; A1, B1: normal control group; A2, B2: model group; A3, B3: atorvastatin group; A4, B4: QG group; A5, B5: HG group; A6, B6: CP group. CON: normal control (fed by normal chow diet); MOD: model group (fed by HFHCD); ATO: atorvastatin group (5 mg/kg atorvastatin+HFHCD); QG: QG group (5 g/kg QG + HFHCD); HG: HG group (4.5 g/kg HG + HFHCD); CP: CP group (0.5 g/kg CP + HFHCD). HLP: hyperlipidemic; CON: control; MOD: model; ATO: atorvastatin; QG: Qige decoction; HG: Huangqi-Gegen decoction; CP: Chenpi decoction; HFHCD: high-fat high-cholesterol diet; ANOVA: analysis of variance. Variables conformed to normal distributions but with different variances, Welch's ANOVA was used to evaluate the statistical significance of the lipid area. All data are expressed as the mean ± standard deviation (n = 6). aP < 0.01, compared to the MOD group; bP < 0.01, compared to the QG group.
Figure 2 Effect of QG on gut microbiota community in HLP rats A: rarefaction curve; B: C vs M group ( F = 5.5535, R2 = 0.35706, P = 0.005, unweighted_unifrac PcoA plot); C: M vs QG group (F = 1.4852, R2 = 0.12931, P = 0.003, unweighted_unifrac PcoA plot); D: M vs HG group (F = 1.9699, R2 = 0.16457, P = 0.075, euclidean_nolabel PcoA plot); E: M vs CP group (F = 1.1746, R2 = 0.10511, P = 0.278, weighted_unifrac PcoA plot); F: M vs HG vs CP group (F = 1.6581, R2 = 0.18105, P = 0.001, unweighted_unifrac PcoA plot); C: normal control (fed by normal chow diet); M: model group (fed by HFHCD); QGL: QG group (5 g/kg QG + HFHCD); HG: HG group (4.5 g/kg HG + HFHCD); CP: CP group (0.5 g/kg CP + HFHCD). HLP: hyperlipidemic; C: control; M: model; QG: Qige decoction; HG: Huangqi-Gegen decoction; CP: Chenpi decoction; HFHCD: high-fat high-cholesterol diet. Variables did not conform to the normal distributions and variance homogeneity, Kruskal-Wallis was used to evaluate the statistical significance of Chao1, PD, and Shannon index. All data are expressed as the mean ± standard deviation (n = 6).
| Bacterium and F/B ratio | CON (n = 6) | MOD (n = 6) | QG (n = 6) | HG (n = 6) | CP (n = 6) |
|---|---|---|---|---|---|
| Firmicutes | 0.3980±0.1134 | 0.3122±0.0851 | 0.2868±0.0956 | 0.2858±0.0852 | 0.3775±0.0809 |
| Bacteroidetes | 0.5255±0.1327 | 0.5314±0.0878 | 0.5844±0.1029 | 0.5861±0.0985 | 0.5101±0.0683 |
| Actinobacteria | 0.0108±0.0007a | 0.0495±0.0183 | 0.0296±0.0057a | 0.0384±0.0111 | 0.0484±0.0132c |
| Gemmatimonadetes | 0.0019±0.0002b | 0.0025±0.0005 | 0.0019±0.0002b | 0.0014±0.0003a | 0.0010±0.0002a |
| F/B ratio | 0.8463±0.4340 | 0.6270±0.2913 | 0.5280±0.2548 | 0.5223±0.2483 | 0.7686±0.2645 |
Table 2 Effect of QG on relative abundances of microbes at the phylum levels and the F/B ratio in HLP rats ($\bar{x}±s$)
| Bacterium and F/B ratio | CON (n = 6) | MOD (n = 6) | QG (n = 6) | HG (n = 6) | CP (n = 6) |
|---|---|---|---|---|---|
| Firmicutes | 0.3980±0.1134 | 0.3122±0.0851 | 0.2868±0.0956 | 0.2858±0.0852 | 0.3775±0.0809 |
| Bacteroidetes | 0.5255±0.1327 | 0.5314±0.0878 | 0.5844±0.1029 | 0.5861±0.0985 | 0.5101±0.0683 |
| Actinobacteria | 0.0108±0.0007a | 0.0495±0.0183 | 0.0296±0.0057a | 0.0384±0.0111 | 0.0484±0.0132c |
| Gemmatimonadetes | 0.0019±0.0002b | 0.0025±0.0005 | 0.0019±0.0002b | 0.0014±0.0003a | 0.0010±0.0002a |
| F/B ratio | 0.8463±0.4340 | 0.6270±0.2913 | 0.5280±0.2548 | 0.5223±0.2483 | 0.7686±0.2645 |
| Bacterium | CON (n = 6) | MOD (n = 6) | QG (n = 6) | HG (n = 6) | CP (n = 6) |
|---|---|---|---|---|---|
| Collinsella | 0.0356±0.0273a | 3.7961±1.7565 | 1.5633±0.4499c | 2.9817±1.0998d | 3.9656±1.4132f |
| Ruminococcaceae_UCG-005 | 1.4229±1.2446b | 0.1089±0.0546 | 0.2856±0.1867b | 0.2719±0.2306 | 0.3326±0.2971 |
| Turicibacter | 0.2347±0.1542b | 0.0509±0.0902 | 0.2229±0.1962b | 0.1195±0.1223 | 0.0456±0.0794d |
| Escherichia-Shigella | 0.0943±0.0123b | 0.1347±0.0383 | 0.0754±0.0143c | 0.0747±0.0339b | 0.0576±0.0147c |
| Intestinimonas | 0.4558±0.2121c | 0.0826±0.0574 | 0.2052±0.1202c | 0.0765±0.0495c | 0.1233±0.0768c |
| Allisonella | 0.0009±0.0011a | 0.1477±0.0536 | 0.0769±0.0528b | 0.0918±0.0257b | 0.1254±0.0747 |
| [Eubacterium]_hallii_group | 0.0019±0.0023b | 0.2395±0.2461 | 0.0543±0.0303c | 0.1399±0.1337 | 0.2160±0.1104f |
| Phocea | 0.0010±0.0020a | 0.0667±0.0295 | 0.1187±0.0237c | 0.1061±0.0382 | 0.0875±0.0486 |
| Flavobacterium | 0.0036±0.0014b | 0.0019±0.0015 | 0.0173±0.0045a | 0.0025±0.0011e | 0.0016±0.0006e |
| Staphylococcus | 0.0000±0.0000a | 0.0049±0.0031 | 0.0010±0.0012c | 0.0039±0.0019d | 0.0067±0.0068 |
Table 3 Effect of QG on relative abundances of microbes at the genus levels in HLP rats (%,$\bar{x}±s$)
| Bacterium | CON (n = 6) | MOD (n = 6) | QG (n = 6) | HG (n = 6) | CP (n = 6) |
|---|---|---|---|---|---|
| Collinsella | 0.0356±0.0273a | 3.7961±1.7565 | 1.5633±0.4499c | 2.9817±1.0998d | 3.9656±1.4132f |
| Ruminococcaceae_UCG-005 | 1.4229±1.2446b | 0.1089±0.0546 | 0.2856±0.1867b | 0.2719±0.2306 | 0.3326±0.2971 |
| Turicibacter | 0.2347±0.1542b | 0.0509±0.0902 | 0.2229±0.1962b | 0.1195±0.1223 | 0.0456±0.0794d |
| Escherichia-Shigella | 0.0943±0.0123b | 0.1347±0.0383 | 0.0754±0.0143c | 0.0747±0.0339b | 0.0576±0.0147c |
| Intestinimonas | 0.4558±0.2121c | 0.0826±0.0574 | 0.2052±0.1202c | 0.0765±0.0495c | 0.1233±0.0768c |
| Allisonella | 0.0009±0.0011a | 0.1477±0.0536 | 0.0769±0.0528b | 0.0918±0.0257b | 0.1254±0.0747 |
| [Eubacterium]_hallii_group | 0.0019±0.0023b | 0.2395±0.2461 | 0.0543±0.0303c | 0.1399±0.1337 | 0.2160±0.1104f |
| Phocea | 0.0010±0.0020a | 0.0667±0.0295 | 0.1187±0.0237c | 0.1061±0.0382 | 0.0875±0.0486 |
| Flavobacterium | 0.0036±0.0014b | 0.0019±0.0015 | 0.0173±0.0045a | 0.0025±0.0011e | 0.0016±0.0006e |
| Staphylococcus | 0.0000±0.0000a | 0.0049±0.0031 | 0.0010±0.0012c | 0.0039±0.0019d | 0.0067±0.0068 |
Figure 3 Scores plots of PCOA, OPLS-permutation, and related pathway between CON, MOD, and QG groups (n = 6) A: scores plots of PCA between CON, MOD, and QG groups; B: scores plots of PCOA between CON and MOD groups; C: scores plots of PCOA between MOD and QG groups; D: scores plots of OPLS-permutation between CON and MOD groups; E: scores plots of OPLS-Permutation between MOD and QG groups; F: summary of pathway analysis of liver samples. CON: normal control (fed by normal chow diet); MOD: model group (fed by HFHCD); QG: QG group (5 g/kg QG + HFHCD); CON: control; MOD: model; QG: Qige decoction; HG: Huangqi-Gegen decoction; CP: Chenpi decoction; HFHCD: high-fat high-cholesterol diet; PCOA: principal coordinate analysis; OPLS: orthogonal partial least squares; PCA: principal component analysis.
Figure 4 Effect of QG on the expression of NPC1L1, ABCG5, and ABCG8 proteins in HLP rats A: representative Western blot image of liver ABCG5, and ABCG8 proteins; B and C: relative expression level of liver ABCG5 (B) and ABCG8 (C); D: representative Western blot image of small intestine NPC1L1, ABCG5, and ABCG8 proteins; E-G: relative expression level of small intestine ABCG5 (E), ABCG8 (F), and NPC1L1 (G). CON: normal control (fed by normal chow diet); MOD: model group (fed by HFHCD); ATO: atorvastatin group (5 mg/kg atorvastatin+HFHCD); QG: QG group (5 g/kg QG + HFHCD); HG: HG group (4.5 g/kg HG + HFHCD); CP: CP group (0.5 g/kg CP + HFHCD). HLP: hyperlipidemic; CON: control; MOD: model; ATO: atorvastatin; QG: Qige decoction; HG: Huangqi-Gegen decoction; CP: Chenpi decoction; TG: triglycerides; TC: total cholesterol; LDL-C: low-density lipoprotein cholesterol; HDL-C: high-density lipoprotein cholesterol; HFHCD: high-fat high-cholesterol diet. NPC1L1: Niemann-Pick C1-like 1; ABCG5: ATP-binding cassette G5; ABCG8: ATP-binding cassette G8. Variables did not conform to the normal distributions and variance homogeneity, Kruskal-Wallis was used to evaluate the statistical significance of NPC1L1, ABCG5, and ABCG8 proteins. All data are expressed as the mean±standard deviation (n = 3); aP < 0.05 and bP < 0.01, compared to the MOD group; cP < 0.05, compared to the QG group.
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