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Untargeted metabolomics analysis of differential metabolites in cecal contents of rats after geniposide administration
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Miao-miao LUO1, 2, Hong-zhan XU2, 3, Jing HE2, Xiao-jing LIU2, Zi-xin ZHAO2, Yun-yun JIANG1, 4, *, Ting-ting ZHOU2, *
Acta Pharmaceutica Sinica | 2025, 60(3) : 655 - 666
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Acta Pharmaceutica Sinica | 2025, 60(3): 655-666
Special Reports: Multi-disciplinary exploration in the current situation and future direction of the modernization of Traditional Chinese Medicine
Untargeted metabolomics analysis of differential metabolites in cecal contents of rats after geniposide administration
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Miao-miao LUO1, 2, Hong-zhan XU2, 3, Jing HE2, Xiao-jing LIU2, Zi-xin ZHAO2, Yun-yun JIANG1, 4, *, Ting-ting ZHOU2, *
Affiliations
  • 1. School of Pharmacy, Anhui Medical University, Hefei 230032, China
  • 2. Shanghai Key Laboratory of Drug (Traditional Chinese Medicine) Metabolite Research, Department of Pharmacy, PLA Naval Medical University, Shanghai 200433, China
  • 3. School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 117004, China
  • 4. The 904 Hospital of the Chinese People's Liberation Army, Wuxi 214000, China
Published: 2025-03-12 doi: 10.16438/j.0513-4870.2024-1068
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In the study, we employed an untargeted metabolomic approach in conjunction with 16S rRNA high-throughput sequencing to identify potential antidepressant active effectors mediated by gut-flora among geniposides. Firstly, the rat depressed model was constructed using chronic unpredictable mild stress stimulation (CUMS) combined with orphaned model. Then the cecal contents of the rats were analyzed by untargeted metabolomics using ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q/TOF-MS) in order to identify differential metabolites. The intestinal genera exhibiting significant differences in the cecal contents were identified through 16S rRNA high-throughput sequencing, and correlation analysis was subsequently conducted between the differential metabolites and the intestinal genera. The comparison of the metabolic profiles between the normal control group, the depression model group, and the geniposide treatment group revealed that 147 metabolites were down-regulated and 381 metabolites were up-regulated in the model group compared with the normal group. Furthermore, 212 metabolites were up-regulated and 288 metabolites were down-regulated in the geniposide treatment group compared with the model group. Subsequently, the combination of the screening conditions of FC (fold change) > 2, P < 0.05 and VIP (variable importance in the projection) > 1, secondary mapping and database comparison led to the identification of 55 metabolites with significant differences among the three groups. The results of the metabolic pathway enrichment analysis indicated that the identified differential metabolites were primarily involved in five metabolic pathways, namely tryptophan metabolism, arginine biosynthesis, phenylalanine biosynthesis with tyrosine and tryptophan, phenylalanine metabolism, and arginine metabolism with proline. The 16S rRNA sequencing results further indicated that Gardenia jasminoides extract may exert its antidepressant effects, thereby providing a new basis for the study of the gut-brain axis in the therapeutic strategy of depression. All animal experiments were conducted with the approval of the Biomedical Research Ethics Committee of the Naval Medical University.

depression  /  cecal content  /  untargeted metabolomics  /  geniposide  /  gut microbiota
Miao-miao LUO, Hong-zhan XU, Jing HE, Xiao-jing LIU, Zi-xin ZHAO, Yun-yun JIANG, Ting-ting ZHOU. Untargeted metabolomics analysis of differential metabolites in cecal contents of rats after geniposide administration[J]. Acta Pharmaceutica Sinica, 2025 , 60 (3) : 655 -666 . DOI: 10.16438/j.0513-4870.2024-1068
Year 2025 volume 60 Issue 3
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Article Info
doi: 10.16438/j.0513-4870.2024-1068
  • Receive Date:2024-10-30
  • Online Date:2025-11-06
  • Published:2025-03-12
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History
  • Received:2024-10-30
  • Revised:2025-02-08
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Affiliations
    1. School of Pharmacy, Anhui Medical University, Hefei 230032, China
    2. Shanghai Key Laboratory of Drug (Traditional Chinese Medicine) Metabolite Research, Department of Pharmacy, PLA Naval Medical University, Shanghai 200433, China
    3. School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 117004, China
    4. The 904 Hospital of the Chinese People's Liberation Army, Wuxi 214000, 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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