Evidence map›Paper›PMID 41882153›Full record

ArticleNPJ cardiovascular health2026

Berberine signature and cardiometabolic diseases using randomized controlled trial, cohort study and Mendelian randomization.

Jie V Zhao, Vishal Sarsani, Bing Chen, Huan Yun, Jie Hu, Liming Liang

Registry-linked trialAbstract read
In one paragraph

Article in NPJ cardiovascular health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03770325 (Effect of Berberine on Cardiovascular Disease Risk Factors), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

NCT03770325 phase2 / phase3completednot on this map

Effect of Berberine on Cardiovascular Disease Risk Factors: a Mechanistic Randomized Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2019 to 2020Enrolled84ConditionsCardiovascular Risk FactorArmsBerberine, Placebo
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

6 authors.

Jie V ZhaoSchool of Public Health, Li Ka Shing Faculty of Medsicine, the University of Hong Kong, Hong Kong, SAR, China. janezhao@hku.hk.
Vishal SarsaniDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Bing ChenSchool of Public Health, Li Ka Shing Faculty of Medsicine, the University of Hong Kong, Hong Kong, SAR, China.
Huan YunDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jie HuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Health and Medical Research Fund 15162621
6 · The paper itself

Abstract

Berberine lowers both lipids and glucose, yet its role on cardiometabolic disease risk remain unclear. Based on a randomized controlled trial of berberine (registered in ClinicalTrials.gov on Dec 2018, NCT03770325), leveraging proteomics and sex hormones data, we built a signature reflecting response to berberine using elastic net regression. We then assessed its associations with ischemic heart disease (IHD) and diabetes in UK Biobank using logistic regression and for causal relationship, using bi-directional Mendelian randomization (MR), and estimates of each protein/hormone. The signature was related to lower IHD and diabetes risks (OR for IHD 0.85, 95% CI 0.79-0.91; diabetes 0.88, 0.80-0.96 using MR). SHBG and PRSS2 might explain the beneficial association with IHD; testosterone, SHBG, CCL5, CNDP1, F11, LCN2, and THBS4 might explain the association with diabetes, which provides insights for drug development. Our study suggests beneficial associations of berberine with IHD and diabetes, which requires confirmation in large clinical trials.

Identifiers

PMID41882153
PMCPMC13018313

What Socratic holds

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Registered trials

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 Socratic graph.