Evidence map›Paper›PMID 36677710›Full record

ArticleMolecules (Basel, Switzerland)2023

UPLC-Q-TOF/MS Based Plasma Metabolomics for Identification of Paeonol's Metabolic Target in Endometriosis.

Jing Liu, Dongxia Yang, Chengyu Piao, Xu Wang, Xiaolan Sun, Yongyan Li, Shuxiang Zhang, Xiuhong Wu

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Impact of gut microbiota on endometriosis: linking physical injury to mental health.Frontiers in cellular and infection microbiology · 2025
    Review
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Jing LiuCollege of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Dongxia YangDepartment of Gynecology Medicine, Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin 150001, China.
Chengyu PiaoGood Laboratory Practice of Drug, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Xu WangGood Laboratory Practice of Drug, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Xiaolan SunCollege of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Yongyan LiCollege of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Shuxiang ZhangCollege of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Xiuhong WuCollege of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Heilongjiang University of Chinese Medicine · CN

Funding

National Natural Science Foundation of China 81373931National Natural Science Foundation of China 81573877Natural Science Foundation of Heilongjiang Province LH2020H087
6 · The paper itself

Abstract

Endometriosis is a common gynecological illness in women of reproductive age that significantly decreases life quality and fertility. Paeonol has been shown to play an important part in endometriosis treatments. Understanding the mechanism is critical for treating endometriosis. In this study, autologous transplantation combined with a 28 day ice water bath was used to create a rat model of endometriosis with cold clotting and blood stagnation. The levels of estradiol and progesterone in plasma were detected by ELISA, and the pathological changes of ectopic endometrial tissue were examined by H&E staining, which proved the efficacy of paeonol. For metabolomic analysis of plasma samples, UPLC-Q/TOF-MS was combined with multivariate statistical analysis to identify the influence of paeonol on small molecule metabolites relevant to endometriosis. Finally, the key targets were screened using a combination of network pharmacology and molecular docking approaches. The results showed that the pathological indexes of rats were improved and returned to normal levels after treatment with paeonol, which was the basis for confirming the efficacy of paeonol. Metabolomics results identified 13 potential biomarkers, and paeonol callbacks 7 of them, involving six metabolic pathways. Finally, four key genes were found for paeonol therapy of endometriosis, and the results of molecular docking revealed a significant interaction between paeonol and the four key genes. This study was successful in establishing a rat model of endometriosis with cold coagulation and blood stagnation. GCH1, RPL8, PKLR, and MAOA were the key targets of paeonol in the treatment of endometriosis. It is also demonstrated that metabolomic techniques give the potential and environment for comprehensively understanding drug onset processes.

Indexed as

Drugs, Chinese HerbalEndometriosisAcetophenonesAnimalsChromatography, High Pressure LiquidFemaleHumansMetabolomicsMolecular Docking SimulationRatsAcetophenonesDrugs, Chinese Herbalpaeonolbiomarkersendometriosisgenesmetabolomicsnetwork pharmacologypaeonol

Identifiers

PMID36677710
PMCPMC9864815
OpenAlexW4313890046

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.