Evidence map›Paper›PMID 41743923›Full record

ArticleCurrent urology2026

Causal relationships between plasma metabolites and prostate cancer: A Mendelian randomization study exploring immune and inflammatory mediators.

Mengjun Huang, Dong Ning, Tongyu Tong, Qiliang Teng, Fei Cao, Yupeng Guan, Yiting Wang, Hanqi Lei, Jun Pang

Abstract read
In one paragraph

Article in Current urology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

1 citing paper in PubMed.

  1. Unveiling the Diagnostic Value and Potential Therapeutic Targets of Phenylalanine Metabolism in Pancreatic Cancer via Integrated Multi-Omics and Machine Learning.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    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

9 authors.

Mengjun HuangDepartment of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Dong NingDiscipline of Physiology, Human Biology Building, School of Medicine, National University of Ireland (NUI), Galway, Ireland.
Tongyu TongDepartment of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Qiliang TengDepartment of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Fei CaoDepartment of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yupeng GuanDepartment of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yiting WangDepartment of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Hanqi LeiDepartment of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Jun PangDepartment of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.ORCID https://orcid.org/0000-0003-0024-9415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic alterations and inflammatory processes contribute substantially to the pathogenesis of prostate cancer (PCa). This study used Mendelian randomization (MR) to investigate the causal relationships between plasma metabolites and PCa and to identify potential mediators, including immune cell traits and circulating inflammatory proteins. Materials and methods: A 2-sample MR analysis was conducted using data from the Canadian Longitudinal Study on Aging and a diverse genome-wide association study of PCa. A total of 1400 plasma metabolites were analyzed. Single-nucleotide polymorphisms were carefully selected and refined using linkage disequilibrium clumping. The inverse variance weighting method was used for primary analysis, supplemented by sensitivity analyses, including MR-Egger, weighted median, and MR-Pleiotropy RESidual Sum and Outlier, to ensure the robustness of the results. Results: Eight metabolites were significantly associated with PCa. Specifically, a higher phosphate-to-uridine ratio was associated with a decreased risk of PCa, whereas higher levels of Conclusions: This study identified plasma metabolites that exert causal effects on the risk of PCa and highlighted the mediating role of immune traits and inflammatory proteins. These findings underscore the complexity of the biological pathways involved and suggest potential targets for therapeutic interventions.

Indexed as

Causal inferenceImmune cell traitsInflammationMendelian randomizationPlasma metabolitesProstate cancer

Identifiers

PMID41743923
PMCPMC12931944

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.