Data · dataset · 2026
Material basis in Evodia rutaecarpa before and afte wine-processed for treating dysmenorrhea based on spectrum-effect relationship
Listed in ScienceDB
The study aims to investigate the material basis of Evodia rutaecarpa (ER) before and afte wine-processed in treating dysmenorrhea based on spectrum-effect relationship.
Description
UPLC-Q-TOF-MS was used to analyze the blood-absorbed components of ER and its wine-processed product. The dysmenorrhea rat model was established. The effect of treating dysmenorrhea was evaluated using the writhing times, writhing latency, tumor necrosis factor-α (TNF-α), prostaglandin E2 (PGE2) and prostaglandin F2α (PGF2α) as indicators. Grey relational degree and entropy weight method were applied to analyze the spectrum-effect relationship between blood-absorbed components and analgesic efficacy. The results showed that 12 common peaks were detected from the serum samples of different batches ER and its wine-processed product, and 5 of these common peaks were identified. ER effectively reduced the writhing times, prolongated the writhing latency (P< 0.01), downregulated the contents of serum PGF2α and TNF-α, and upregulated the level of PGE2 (P< 0.05 or P< 0.01).
Wine-processed Evodia Rutaecarpa (PER) had better than ER (P< 0.01). The results of spectrum-effect relationship indicated that the correlation score of 7-hydroxycoumarin and limonin significantly increased after wine-processed, and show positive correlation with treating-dysmenorrhea effect after wine-processed. This study clarified initially that the pharmacodynamic material of ER before and after wine-processed in treating dysmenorrhea, which provided an experimental basis for the clinical application of PER
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.nprd.00036 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Cancer 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.nprd.00036 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:cancer | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |