Evidence map›Paper›PMID 36076294›Full record

ArticleJournal of translational medicine2022

Integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemia.

Yuting Chen, Kaipeng Li, Han Zhao, Zhangsen Hao, Yuxin Yang, Mingming Gao, Ding Zhao

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 72 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

7 authors at 1 institution in 1 country.

Yuting ChenThe Postdoctoral Research Station of Biology, Hebei Medical University, Shijiazhuang, 050017, China.
Kaipeng LiThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, China.
Han ZhaoThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, China.
Zhangsen HaoThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, China.
Yuxin YangThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, China.
Mingming GaoThe Laboratory of Lipid Metabolism, Institute of Basic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China. g.m0515@163.com.
Ding ZhaoThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, China. zhaodingd@163.com.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBerberine (BBR), an isoquinoline alkaloid isolated from Rhizoma Coptis, is widely used in the treatment of hyperlipidemia (HLP) in China. At present, the efficacy of BBR against HLP is relatively clear, but there are few researches on its mechanism. The purpose of this study was to evaluate the potentially beneficial role of BBR in HLP hamster models, as well as investigate its possible mechanisms and potential lipid biomarkers in combination with network pharmacology.

methodsHLP hamster model was induced by high-fat diet. Hematoxylin-eosin (HE) staining was used to determine the degree of hepatic pathological injury. Liquid chromatography-mass spectrometry was used to analyze lipid metabolism profiles of liver samples, and multiple statistical analysis methods were used to screen and identify lipid biomarkers. The possible molecular mechanism was unraveled by network pharmacology.

resultsThe results showed that 13 metabolites, including CE (16:1), HexCer (D18:1/19:0) and LPC (O-22:0) were biomarkers of BBR regulation. CHPT1, PLA2G4A, LCAT and UGCG were predicted as the lipid-linked targets of BBR against HLP, whilst glycerophospholipid and sphingolipid metabolism were the key pathways of BBR against HLP.

conclusionsIn summary, this study provides new insights into the protective mechanism of BBR against HLP through network pharmacology and lipidomic approaches.

Indexed as

BerberineHyperlipidemiasAnimalsCricetinaeHumansLipidomicsLipidsNetwork PharmacologyBerberineLipidsBerberineHyperlipidemiaLipidomicsNetwork pharmacology

Identifiers

PMID36076294
PMCPMC9461205
OpenAlexW4294970414

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.