Automated Author ProfileLILU
tianjin hospital
LILU
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This study aimed to investigate the antidepressant mechanism of the alkaloid fraction of Ziziphi Spinosae Semen (AZSS) on depressed mice using network pharmacology and pharmacodynamics. Data on the active ingredients and targets were retrieved from TCMSP Platform, and the therapeutic targets for depression were retrieved using GeneCards database; Venn diagrams determined the intersecting targets. STRING platform constructed an AZSS-antidepressant network. With Cluster Profiler R, the common targets were analyzed using GO analysis. The nitric oxide (NO) content in the brain was determined by fluorescence spectrophotometry, and the molecular docking of AZSS-NO synthase (NOS) was performed by Autodock. Nine active components and nine intersecting targets were analyzed, exerting 57 molecular functions. NOS binding was found to be one of the main biological processes targeted by AZSS, and AZSS containing the SLC6A4 segment, that is, (S)-coclaurine, sanjoinine E, dl-nuciferine, and n-methylasimilobine, exhibited this property. NO levels were lower in the venlafaxine and AZSS groups than in the model group (P<0.01). The four SLC6A4-containing AZSS components had high molecular docking energy with NOS. The results suggest that the SLC6A4-containing AZSS components exert antidepressant effects by binding to NOS and interfering with the elevation of NO levels in brain tissue of depressed mice.
Authors
- LILU ;
- Lu, Wang ;
- Yan, Sun ;
- Wei, Qiao