Evidence map›Paper›PMID 33178024›Full record

ArticleFrontiers in pharmacology2020

The Interventional Effects of Tubson-2 Decoction on Ovariectomized Rats as Determined by a Combination of Network Pharmacology and Metabolomics.

Fan Yang, Xin Dong, Feixiang Ma, Feng Xu, Jie Liu, Jingkun Lu, Chunyan Li, Ren Bu, Peifeng Xue

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. 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
1.4field-weighted citation impact, top 17% 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, 15 citations in OpenAlex.

  1. Article
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  4. Review
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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 2 institutions in 1 country.

Fan YangDepartment of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Xin DongDepartment of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Feixiang MaDepartment of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Feng XuState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Jie LiuDepartment of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Jingkun LuDepartment of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Chunyan LiDepartment of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Ren BuDepartment of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Peifeng XueDepartment of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Inner Mongolia Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-menopausal osteoporosis (PMOP) is associated with estrogen deficiency and worldwide, is becoming increasingly more prevalent in aging women. Various anti-PMOP drugs have been developed to reduce the burden of PMOP; generally, these drugs are efficacious, but with some adverse side effects. Tubson-2 decoction (TBD), a popular traditional Mongolian medicine, has been used to treat PMOP for centuries. However, the precise mechanisms underlying the action of TBD on PMOP have yet to be fully elucidated. Herein, we combined network pharmacology with untargeted metabolomics to identify the key targets and metabolic pathways associated with the interventional effects of TBD on ovariectomized (OVX) rats. Furthermore, we investigated the bone histomorphometry of eight different groups of rats to evaluate the therapeutic effect of TBD. First, we established a TBD-target/PMOP network

Indexed as

metabolomicsnetwork pharmacologyovariectomizedpost-menopausalosteoporosisTubson-2

Identifiers

PMID33178024
PMCPMC7593846
OpenAlexW3092761678

What OpenQuestion holds

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LicenceCC BY
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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.