Integrating serum metabolomics and network analysis to explore the antidepressant activity of crocin in rats with chronic unexpected mild stress-induced depression

Pharm Biol. 2023 Dec;61(1):1414-1430. doi: 10.1080/13880209.2023.2246531.

Abstract

Context: Crocin exhibits anti-depressant properties. However, its underlying mechanisms and its relationship with metabolomics remain unclear.

Objective: This study elucidates the mechanism of action and potential targets of crocin in treating chronic unexpected mild stress (CUMS)-induced depression in rats.

Materials and methods: Male Sprague-Dawley (SD) rats underwent 4 weeks of CUMS to establish the depression model. The normal control (distilled water), crocin (25 mg/kg), and fluoxetine (5.4 mg/kg) groups were orally administered for 4-weeks. Behavioural tests evaluated the effects of crocin, while liquid chromatography-mass spectrometry metabolomics identified differential metabolites and their associated metabolic pathways. Subsequently, network pharmacology was utilized to predict the targets of crocin.

Results: Crocin significantly increased body weight (from 319.16 ± 4.84 g to 325.67 ± 2.84 g), sucrose preference (from 0.46 ± 0.09 to 0.70 ± 0.09), vertical activity (from 2.83 ± 1.94 to 8 ± 2.36), horizontal activity (from 1 ± 0.63 to 4.5 ± 3.08) and decreased immobilization time (from 13.16 ± 2.69 to 3.97 ± 3.00). Metabolomics analysis identified 7 metabolites and 5 associated metabolic pathways. From the combined analysis of network pharmacology and metabolomics, three targets (PRMT1, CYP3A4, and GLB1) are the overlapping targets and the two most important metabolic pathways are tryptophan metabolism and glycerolipid metabolism.

Discussion and conclusions: This study provides insights into the antidepressant therapeutic effect of crocin and its underlying mechanisms. The findings contribute to a better understanding of the metabolic mechanism involved in the anti-depressant effect of crocin, establishing a strong foundation for future research in this area.

Keywords: Traditional Chinese medicine; interaction network; metabolism; network pharmacology; untargeted metabolomics.

MeSH terms

  • Animals
  • Antidepressive Agents* / pharmacology
  • Antidepressive Agents* / therapeutic use
  • Depression* / drug therapy
  • Male
  • Metabolomics
  • Rats
  • Rats, Sprague-Dawley

Substances

  • crocin
  • Antidepressive Agents

Grants and funding

This work was funded by grants from the National Natural Science Foundation of China (Nos. 81403387), Outstanding youth project of Natural Science Foundation of Hunan Province (No. 2020JJ3027), Excellent postdoctoral innovative talents of Hunan Province (No. 2020RC2060), Hunan Youth Science and Technology Talent Project (NO. 2022RC1226), the training plan of outstanding innovative youth of Changsha (No. kq2009018), Scientific research projects of Chinese medicine in Hunan Province (No. B2023021), the joint project of Hunan University of Traditional Chinese Medicine, school and hospital (No. 2022XYLH077, No. 2022XYLH076).