Evidence map›Paper›PMID 35379295›Full record

ArticleJournal of ovarian research2022

Investigation of the mechanisms and experimental verification of Cuscuta-Salvia in the treatment of polycystic ovary syndrome (PCOS) via network pharmacology.

Ying-Ying Zhang, Jian-Xiong Ma, Yu-Tian Zhu, Yi-Xuan Wang, Wang-Qiang Chen, Xin Sun, Wei Zhang, Chen-Ye Wang, Cai-Fei Ding

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 3 institutions in 1 country.

Ying-Ying Zhang *The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Jian-Xiong Ma *The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Yu-Tian ZhuDepartment of Traditional Chinese Medicine, Peking University Third Hospital, Beijing, China.
Yi-Xuan WangDepartment of Reproductive Medicine, Zhejiang Provincial Integrated Chinese and Western Medicine Hospital, Hangzhou, China.
Wang-Qiang ChenDepartment of Reproductive Medicine, Zhejiang Provincial Integrated Chinese and Western Medicine Hospital, Hangzhou, China.
Xin SunDepartment of Reproductive Medicine, Zhejiang Provincial Integrated Chinese and Western Medicine Hospital, Hangzhou, China.
Wei ZhangDepartment of Reproductive Medicine, Zhejiang Provincial Integrated Chinese and Western Medicine Hospital, Hangzhou, China.
Chen-Ye WangDepartment of Reproductive Medicine, Zhejiang Provincial Integrated Chinese and Western Medicine Hospital, Hangzhou, China.
Cai-Fei DingDepartment of Reproductive Medicine, Zhejiang Provincial Integrated Chinese and Western Medicine Hospital, Hangzhou, China. dingcaifei@163.com.ORCID http://orcid.org/0000-0001-8129-7050
Integrated Chinese Medicine (China) · CNZhejiang Chinese Medical University · CNPeking University · CN

Funding

the administration of Traditional Chinese Medicine of Zhejiang Province of China 2021ZB212the Natural Science Foundation of Zhejiang Province of China LQ19H270005
6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is an endocrine disease associated with reproduction. The Cuscuta-Salvia formula has been widely used to treat for PCOS in clinic. However, its chemical and pharmacological properties remain unclear. We identified the active components and related targets of Cuscuta-Salvia using UHPLC-ESI-Q-TOF-MS and TCMSP database. Disease targets were obtained from the DisGeNET and GeneCards databases. Subsequently, common targets between Cuscuta-Salvia and PCOS were identified using a Venn diagram. PPI network was established. Core genes were selected using a Cytoscape software plugin. GO and KEGG enrichment analyses were performed for common targets using the "pathview" package in R. Several core targets were verified using molecular and Immunological methods. By combining UHPLC-ESI-Q-TOF-MS with a network pharmacology study, 14 active components and a total of 80 common targets were obtained. Ten core genes were regulated by Cuscuta-Salvia in PCOS, including IL6, AKT1, VEGFA, TP53, TNF, MAPK1, JUN, EGF, CASP3, and EGFR. GO results showed that cellular response to drugs, response to oxygen levels, response lipopolysaccharides, and response to molecule of bacterial origin in BP category; membrane, transcription regulator complex, nuclear chromatin, postsynaptic membrane, and vesicle lumen in CC category; DNA-binding transcription factor binding, RNA polymerase II-specific DNA-binding transcription factor binding, DNA-binding transcription activator activity, RNA polymerase II-specific, DNA-binding transcription activator activity, and cytokine receptor binding in MF terms. The KEGG enrichment pathway was mainly involved in the PI3K - Akt, MAPK, TNF, IL-17 signalling pathways, and in cellular senescence. Furthermore, the results of the experimental study showed that Cuscuta-Salvia ameliorated the pathological changes in the ovaries, liver and adipose tissue. And it improved the expressions of the genes or proteins. Our results demonstrate that Cuscuta-Salvia may provide a novel pharmacological basis in an experimental model of PCOS by regulating gene expression. This study provides a basis for future research and clinical applications.

Indexed as

CuscutaPolycystic Ovary SyndromeSalviaGene Expression RegulationNetwork PharmacologyCore geneCuscuta-SalviaNetwork pharmacologyOvaryPCOS

Identifiers

PMID35379295
PMCPMC8978390
OpenAlexW4225985882

What Socratic 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 Socratic graph.