Evidence map›Paper›PMID 36091783›Full record

ArticleFrontiers in pharmacology2022

Application of metabolomics and network analysis to reveal the ameliorating effect of four typical "hot" property herbs on hypothyroidism rats.

Yang-Yang Wang, Yan-Ping Sun, Bing-You Yang, Qiu-Hong Wang, Hai-Xue Kuang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Yang-Yang WangKey Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, Heilongjiang, China.
Yan-Ping SunKey Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, Heilongjiang, China.
Bing-You YangKey Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, Heilongjiang, China.
Qiu-Hong WangSchool of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Hai-Xue KuangKey Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, Heilongjiang, China.
Heilongjiang University of Chinese Medicine · CNGuangdong Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbs with a "hot" properties are frequently used to treat cold symptoms in TCM. However, the underlying mechanisms of the herbs with "hot" properties on hypothyroidism have not been investigated. This study aimed to explore four typical "hot" and "cold" property herb on hypothyroidism. Firstly, the difference efficacy between the four typical "hot" property herbs and the four typical "cold" property herbs was assessed by physical signs, thyroid function, and the metabolic profile using multivariate statistical analysis. The influence of the four typical "hot" property herbs on hypothyroidism was validated pathologically. The impact mechanism of the four typical "hot" property herbs on hypothyroidism was investigated through a metabolomics method combined with network analysis. Na

Indexed as

cold-hot medicine propertieshypothyroidismmetabolic mechanismmetabolomicsnetwork analysisTypical “hot” property herbs

Identifiers

PMID36091783
PMCPMC9452843
OpenAlexW4293226569

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.