Evidence map›Paper›PMID 38509958›Full record

ArticleHeliyon2024

Associations between obesity and hyperuricemia combing mendelian randomization with network pharmacology.

Kailai Panlu, Zizun Zhou, Lin Huang, Lei Ge, Chengping Wen, Huiqing Lv

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

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  11. Weight-Adjusted Waist Index May Predict Hypertension Plus Hyperuricemia.Journal of clinical hypertension (Greenwich, Conn.) · 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

6 authors at 2 institutions in 1 country.

Kailai PanluThe First Clinical College of Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Zizun ZhouSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 311402, Hangzhou, Zhejiang, China.
Lin HuangSchool of Basic Medical Science, Zhejiang Chinese Medical University, 310053, Hangzhou, Zhejiang, China.
Lei GeSchool of Civil Engineering, Chongqing Jiaotong University, Chongqing, 400074, China.
Chengping WenSchool of Basic Medical Science, Zhejiang Chinese Medical University, 310053, Hangzhou, Zhejiang, China.
Huiqing LvSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 311402, Hangzhou, Zhejiang, China.
Zhejiang Chinese Medical University · CNChongqing Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Obesity has become a global health issue and a risk factor for hyperuricemia. However, the associations between obesity and hyperuricemia are sometimes confounding. In the present study, we performed mendelian randomization (MR) analysis to study their relationship and investigate the underlying mechanism by network pharmacology. Method: Body mass index (BMI) and uric acid related to single nucleotide polymorphism were selected as instrumental variables for MR analysis. Three robust analytical methods are used for bidirectional MR analysis such as inverse-variance weighting, weighted median and MR-Egger regression. Then, we further performed sensitivity analysis to evaluate the horizontal pleiotropy, heterogeneities, and stability. The targets related to obesity and hyperuricemia were collected, screened and further conducted for Kyoto Encyclopedia of Genes and Genomes pathway enrichment to explore the mechanism of obesity and hyperuricemia using network pharmacology. Results: The positive causality was indicated between BMI and hyperuricemia based on inverse variance-weighted analysis [odds ratio:1.23, 95% confidence interval: 1.11 to 1.30 for each standard deviation increase in BMI (4.6 kg/m Conclusions: Our MR analysis supported the causal association between obesity and hyperuricemia based on availablegenome-wide association analysis summary statistics. Obesity leads to hyperuricemia via

Indexed as

AssociationHyperuricemiaMendelian randomizationNetwork pharmacologyObesity

Identifiers

PMID38509958
PMCPMC10951504
OpenAlexW4392764495

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.