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Effects of ursolic acid on gut microbiota and inflammatory response in high-fat diet-induced obese mice
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Ming SUN, Chun-feng TIAN, Ya-jing HAN, Jia ZHANG, Mei MEI, Zhi-min GUO, Yang XIE, Jie LI, Yan BAO
Modern Preventive Medicine | 2025, 52(9) : 1681 - 1686
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Modern Preventive Medicine | 2025, 52(9): 1681-1686
Experimental Technology and Applications
Effects of ursolic acid on gut microbiota and inflammatory response in high-fat diet-induced obese mice
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Ming SUN, Chun-feng TIAN, Ya-jing HAN, Jia ZHANG, Mei MEI, Zhi-min GUO, Yang XIE, Jie LI, Yan BAO
Affiliations
  • School of Public Health, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014040, China
Published: 2025-05-10 doi: 10.20043/j.cnki.MPM.202501158
Outline
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Objective

To investigate the ameliorative effects of ursolic acid on gut microbiota and inflammation in high-fat diet-induced obese mice.

Methods

Eighteen C57BL/6J mice were acclimatized for one week and then randomly divided into three groups: control group (CON), high-fat diet group (HFD), and unsolid acid group (UA). The CON group was fed standard diet, the HFD group was fed high-fat diet, and the UA group received high-fat diet along with daily gastric gavage of 100 mg/kg ursolic acid. The experiment lasted for 12 weeks, during which weekly measurements of body weight and food intake were recorded. At the end of the experiment, fecal samples were collected aseptically, and blood serum was obtained after anesthesia.The liver and epididymal fat were collected post-euthanasia. Pathological observations of the liver and fat tissues were conducted using hematoxylin-eosin staining. Biochemical indices and inflammatory factor levels in serum and liver were measured using kits. The microbial diversity in the feces of C57BL/6J mice was assessed using 16S rDNA sequencing.Comparisons between groups were performed using t-tests for pairwise comparisons and one-way ANOVA or Kruskal-Wallis tests for multiple comparisons. Spearman correlation analysis was used to assess the relationship between dominant bacterial genera and inflammatory factors.

Results

During the experiment, the body weight of the HFD group significantly increased compared to the CON group (P<0.05), while the UA group showed a significant reduction in body weight compared to the HFD group (P<0.05), with no correlation between weight change and food intake (P>0.05). Compared to the CON group, the HFD group exhibited increased serum and liver biochemical indices, including triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), and inflammatory factors such as tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) (P<0.05),along with decreased high-density lipoprotein (HDL) levels (P<0.05), all of which improved following UA intervention (P<0.05). Pathological observations revealed normal morphology of liver and fat tissues in the CON group, swelling of hepatocytes with numerous lipid vacuoles in the HFD group, and reduced hepatocyte size and lipid vacuoles in the UA group compared to the HFD group. The gut microbiota composition varied among groups at the phylum and genus levels, with higher relative abundances of Akkerman Sia and unclassified Muribaculaceae. Correlation analysis indicated that Akkerman Sia, unclassified Muribaculaceae, and Ligi lactobacillus were negatively correlated with serum and liver TNF-α and IL-1β (P<0.05), while Olsen Ella showed a positive correlation with TNF-α and IL-1β (P<0.05).

Conclusion

A high-fat diet promotes obesity by inducing dysbiosis and elevating inflammatory factor levels in mice. Ursolic acid intervention can regulate gut microbiota and inflammatory responses, thereby improving obesity.

Ursolic acid  /  Obesity  /  Gut microbiota  /  Inflammation
Ming SUN, Chun-feng TIAN, Ya-jing HAN, Jia ZHANG, Mei MEI, Zhi-min GUO, Yang XIE, Jie LI, Yan BAO. Effects of ursolic acid on gut microbiota and inflammatory response in high-fat diet-induced obese mice[J]. Modern Preventive Medicine, 2025 , 52 (9) : 1681 -1686 . DOI: 10.20043/j.cnki.MPM.202501158
Year 2025 volume 52 Issue 9
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doi: 10.20043/j.cnki.MPM.202501158
  • Receive Date:2025-01-10
  • Online Date:2026-03-17
  • Published:2025-05-10
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  • Received:2025-01-10
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    School of Public Health, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014040, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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