Evidence map›Paper›PMID 35499044›Full record

ArticleJournal of advanced research2022

Gut microbiota specifically mediates the anti-hypercholesterolemic effect of berberine (BBR) and facilitates to predict BBR's cholesterol-decreasing efficacy in patients.

Chongming Wu, Ying Zhao, Yingying Zhang, Yanan Yang, Wenquan Su, Yuanyuan Yang, Le Sun, Fang Zhang, Jiaqi Yu, Yaoxian Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 4 pooled it
8.9field-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

43 citing papers in PubMed, 4 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
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  6. Article
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  8. Review
  9. Gut microbiota: contributing to high CVD prevalence in people living with schizophrenia?European archives of psychiatry and clinical neuroscience · 2026
    Review
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  15. Article
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  17. Chinese herbal medicines · 2025
    Article
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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

13 authors at 3 institutions in 1 country.

Chongming WuPharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Ying ZhaoDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
Yingying ZhangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
Yanan YangPharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Wenquan SuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
Yuanyuan YangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
Le SunPharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Fang ZhangPharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Jiaqi YuPharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Yaoxian WangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
Peng GuoPharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Baoli ZhuCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Shengxian WuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Gut microbiota has been implicated in the pharmacological activities of many natural products. As an effective hypolipidemic agent, berberine (BBR)'s clinical application is greatly impeded by the obvious inter-individual response variation. To date, little evidence exists on the causality between gut microbes and its therapeutic effects, and the linkage of bacteria alterations to the inter-individual response variation. Objectives: This study aims to confirm the causal role of the gut microbiota in BBR's anti-hyperlipidemic effect and identify key bacteria that can predict its effectiveness. Methods: The correlation between gut microbiota and BBR's inter-individual response variation was studied in hyperlipidemic patients. The causal role of gut microbes in BBR's anti-hyperlipidemic effects was subsequently assessed by altered administration routes, co-treatment with antibiotics, fecal microbiota transplantation, and metagenomic analysis. Results: Three-month clinical study showed that BBR was effectively to decrease serum lipids but displayed an obvious response variation. The cholesterol-lowering but not triglyceride-decreasing effect of BBR was closely related to its modulation on gut microbiota. Interestingly, the baseline levels of Conclusion: The gut microbiota is necessary and sufficient for BBR's hyperlipidemia-ameliorating effect. The baseline composition of gut microbes can be an effective predictor for its pharmacotherapeutic efficacy, providing a novel way to achieve personalized therapy.

Indexed as

BerberineGastrointestinal MicrobiomeHyperlipidemiasAnimalsBacteriaCholesterolHumansMiceBerberineCholesterolAlistipesAMPK, AMP-activated protein kinaseBBR, berberineBerberine (BBR)BlautiaGut microbiotaH&E, Hematoxylin and EosinHFD, high-fat dietHypercholesterolemiaHyperlipidemiaInsR, insulin receptorInter-individual response variationLDL-c, low-density lipoprotein cholesterolLDLR, low-density lipoprotein receptorsNPS, the non-responsive subjectsPS, the responsive subjectsRF analysis, Random forest analysisROC, receiving operating characteristicSCFAs, short-chain fatty acidsTC, total cholesterolTG, triglycerides

Identifiers

PMID35499044
PMCPMC9039652
OpenAlexW3188147272

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.