Evidence map›Paper›PMID 36128535›Full record

ArticleRSC advances2022

Compound green tea (CGT) regulates lipid metabolism in high-fat diet induced mice.

Caibi Zhou, Liuhong Hu, Ren Mu, Xin Mei, Xingli Wu, Chuanming Wang, Xiaolu Zhou

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  3. Combination ofFrontiers in nutrition · 2025
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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

7 authors at 2 institutions in 2 countries.

Caibi ZhouCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities 5 Jianjiang Avenue Middle Section Duyun Guizhou 558000 China xmeisci@yeah.net arainbowl@163.com.ORCID https://orcid.org/0000-0003-4218-6408
Liuhong HuCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities 5 Jianjiang Avenue Middle Section Duyun Guizhou 558000 China xmeisci@yeah.net arainbowl@163.com.
Ren MuCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities 5 Jianjiang Avenue Middle Section Duyun Guizhou 558000 China xmeisci@yeah.net arainbowl@163.com.
Xin MeiCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities 5 Jianjiang Avenue Middle Section Duyun Guizhou 558000 China xmeisci@yeah.net arainbowl@163.com.ORCID https://orcid.org/0000-0002-5642-6209
Xingli WuCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities 5 Jianjiang Avenue Middle Section Duyun Guizhou 558000 China xmeisci@yeah.net arainbowl@163.com.
Chuanming WangThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine Guizhou 550000 China.
Xiaolu ZhouCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities 5 Jianjiang Avenue Middle Section Duyun Guizhou 558000 China xmeisci@yeah.net arainbowl@163.com.ORCID https://orcid.org/0000-0002-6593-8548
Qiannan Normal College For Nationalities · CNGuizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims to study the effect of compound green tea (CGT) on liver lipid metabolism in mice based on metabolomics of liquid chromatography-mass spectrometry (LC-MS), and preliminarily identify potential biomarkers and pathways of action by using a metabonomic network database to explore the lipid-lowering effect of CGT. In this study, forty mice were randomly divided into four groups: compound tea treatment group (DH), high-fat model control group (NK), normal control group (CK) and positive drug group (YK). After a month of different interventions, the mice were weighed and the blood lipid indexes were detected. In addition, differential liver metabolites were monitored by using LC-MS. The results showed that CGT and positive drug treatment were able to decrease body weight, liver coefficient, TC, TG and LDL levels of obese mice, while increasing HDL levels. Among the 110 compounds obtained, 54 metabolites were significantly altered in the four comparisons. More importantly, 15 remarkably downregulated metabolites involved in Lysopc 16:1, Lysopc 18:1, and Lysopc 18:2 were found in the DH group when the mice were treated with CGT; meanwhile, the positive drug Xuezhikang was able to significantly downregulate 14 compounds, including (±)18-HEPE, and 6 keto-PGF1α, compared with the NK group. Besides, KEGG enrichment analysis also revealed the important metabolic pathways, such as linoleic acid metabolism, Biosynthesis of unsaturated fatty acids, and α-linolenic acid metabolism, were related to fatty acid metabolism. These results suggested that CGT could regulate the lipid metabolism in the liver of hyperlipidemia mice, and may regulate 54 potential biomarkers in mice through a related metabolic pathway to make them return to a normal state and improve the disorder of lipid metabolism.

Identifiers

PMID36128535
PMCPMC9412714
OpenAlexW4293191222

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.