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Study on the fecal metabolomics of CUMS-susceptible and CUMS-resilient rats
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Sen-yan WANG1, 2, 3, Fu-xiao WEI1, 2, 3, Huan-le LIU1, 2, 3, Si-jun ZHAO4, Xue-mei QIN1, 2, 3, Xiao-jie LIU1, 2, 3, *
Acta Pharmaceutica Sinica | 2022, 57(5) : 1411 - 1419
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Acta Pharmaceutica Sinica | 2022, 57(5): 1411-1419
Original Articles
Study on the fecal metabolomics of CUMS-susceptible and CUMS-resilient rats
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Sen-yan WANG1, 2, 3, Fu-xiao WEI1, 2, 3, Huan-le LIU1, 2, 3, Si-jun ZHAO4, Xue-mei QIN1, 2, 3, Xiao-jie LIU1, 2, 3, *
Affiliations
  • 1. Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
  • 2. Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
  • 3. Key Laboratory of Effective Substances Research and Utilization in Traditional Chinese Medicine of Shanxi Province, Shanxi University, Taiyuan 030006, China
  • 4. Shanxi Institute for Food and Drug Control, Taiyuan 030001, China
Published: 2022-05-12 doi: 10.16438/j.0513-4870.2021-1707
Outline
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Proton nuclear magnetic resonance (1H NMR) based metabolomics was applied to characterize the fecal metabolic profiles of chronic unpredictable mild stress (CUMS)-depression (CUMS-D) and CUMS-resilience (CUMS-R) rats. The fecal biomarkers and metabolic pathways involved in CUMS-D and CUMS-R were screened and identified, revealing the underlying mechanisms of two different responses of the body to the same stresses. Firstly, the classic depression model, i.e. CUMS, was constructed. According to the fecal metabolomics profiles, the model rats were divided into two groups, i.e. the CUMS-D group and the CUMS-R group. And then, the depression statuses of CUMS-D rats and CUMS-R rats were verified by their sucrose preference rates. Lastly, multivariate data analysis was applied to clarify the fecal biomarkers and corresponding metabolic pathways involving in CUMS-D and CUMS-R. The results show that compared with the control rats, the sucrose preference rates of CUMS-D rats were significantly reduced. By contrast, the sucrose preference rates of CUMS-R rats had no significant difference. At the same time, CUMS-D and CUMS-R showed both unique and shared biomarkers and pathways. Three pathways are significantly related to CUMS-D, including taurine and hypotaurine metabolism, alanine, aspartate and glutamate metabolism, and arginine and proline metabolism. Glycerolipid metabolism and tryptophan metabolism are specific pathways related to CUMS-R. This study explores the mechanisms of the emergence of susceptible and resilience of rats under the same stimulus from a metabolomics perspective. The current findings provide not only a new perspective for studying depression, and personalized and precision treatments in clinic, but also the research and development of antidepressants.

depression  /  chronic unpredictable mild stress  /  stress susceptibility  /  stress resilience  /  sucrose preference rate  /  fecal metabolomics
Sen-yan WANG, Fu-xiao WEI, Huan-le LIU, Si-jun ZHAO, Xue-mei QIN, Xiao-jie LIU. Study on the fecal metabolomics of CUMS-susceptible and CUMS-resilient rats[J]. Acta Pharmaceutica Sinica, 2022 , 57 (5) : 1411 -1419 . DOI: 10.16438/j.0513-4870.2021-1707
Year 2022 volume 57 Issue 5
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Article Info
doi: 10.16438/j.0513-4870.2021-1707
  • Receive Date:2021-11-29
  • Online Date:2025-12-23
  • Published:2022-05-12
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History
  • Received:2021-11-29
  • Revised:2022-02-07
Funding
Affiliations
    1. Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
    2. Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
    3. Key Laboratory of Effective Substances Research and Utilization in Traditional Chinese Medicine of Shanxi Province, Shanxi University, Taiyuan 030006, China
    4. Shanxi Institute for Food and Drug Control, Taiyuan 030001, 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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