Evidence mapPaperPMID 41001433Full record

ArticlePhenomics (Cham, Switzerland)2025

Insights into Causal Associations of Lipid Traits and Lipid-modifying Drug Targets with Uric Acid and Risk of Gout.

Chenfeng Zou, Bei Yang, Jiaying Zhang, Yuying Zhang, Dewei Ye, Hanyu Zhu, Tao Bai, Guozhi Jiang

Abstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Chenfeng ZouSchool of Public Health (Shenzhen), Sun Yat-sen University, No. 135, Xingang Xi Road, Haizhu District, Guangzhou, Guangdong 510275 China.
Bei YangKey Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510006 China.
Jiaying ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, No. 135, Xingang Xi Road, Haizhu District, Guangzhou, Guangdong 510275 China.
Yuying ZhangDepartment of Obestrics, Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, Guangdong 518109 China.ORCID https://orcid.org/0000-0002-6063-6989
Dewei YeKey Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510006 China.ORCID https://orcid.org/0000-0003-1295-3063
Hanyu ZhuDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, National Clinical Research Center for Kidney Diseases, Beijing, 100853 China.ORCID https://orcid.org/0000-0002-8729-4245
Tao BaiDepartment of Infectious Diseases, Wuhan Jinyintan Hospital, Hubei Clinical Research Center for Infectious Diseases, Tongji Medical College of Huazhong University of Science and Technology, No. 1 Yintan Road, Dongxihu District, Wuhan City, Hubei Province 430023 China.
Guozhi JiangSchool of Public Health (Shenzhen), Sun Yat-sen University, No. 135, Xingang Xi Road, Haizhu District, Guangzhou, Guangdong 510275 China.ORCID 0000-0002-2795-714X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging lipid-modifying agents show potential but lack evidence for the management of uric acid and gout. We aimed to explore the causal effects of lipid traits, lipid-modifying drugs on uric acid levels and risk of gout. Two-sample MR analyses were performed to investigate the associations of genetically predicted lipid traits (LDL-C, HDL-C and TG) and lipid-modifying drug targets (PCSK9, HMGCR, NPC1L1, CETP, ABCG5/G8, APOB, LDLR, LPL, ANGPTL3, and APOC3) with uric acid levels and gout risk. Validation analyses were performed using the independent cohort of the UK Biobank. Summary-data-based MR was further conducted to estimate the associations of the expression of drug target genes with the outcomes. Genetically predicted lower HDL-C and higher TG were significantly associated with elevated uric acid levels ( Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-024-00212-7.

Indexed as

GoutLipid-modifying drug targetsLipidsMendelian RandomizationUric acid

Identifiers

PMID41001433
PMCPMC12457272

What Socratic holds

Textmetadata
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 Socratic graph.