Evidence map›Paper›PMID 39478098›Full record

ArticleScientific reports2024

Plasma metabolites as mediators in the relationship between inflammation-related proteins and benign prostatic hyperplasia: insights from mendelian randomization.

Yan Cui, Hui Wang, Yuting Wang

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

3 authors.

Yan Cui *Department of Ultrasound, First Affiliated Hospital of Dalian Medical University, Dalian, 116100, Liaoning, China.
Hui WangDepartment of Ultrasound, First Affiliated Hospital of Dalian Medical University, Dalian, 116100, Liaoning, China. wanghui404262@163.com.
Yuting Wang *Harbin Medical University, Harbin, 150000, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Benign prostatic hyperplasia (BPH) is a condition commonly observed in aging males. Inflammatory and metabolic factors are pivotal in the development and progression of BPH. The degree to which the effects of 91 inflammation-related proteins on BPH are mediated by 1400 plasma metabolites remains ambiguous. Our research analyzed the impact of these traits utilizing genetic evidence.Two-sample Mendelian randomization (MR) and multivariable MR (MVMR) were utilized in our study to infer the genetic causal effect of inflammation-related proteins on BPH, with metabolites serving as mediators. Increased levels of IL-2 were linked to a heightened incidence of BPH (β = 0.071, OR:1.074, 95% CI [1.002-1.152], p = 0.045), whereas lower concentrations of N6,N6-dimethyllysine were associated with decreased risk (β1=-0.127, p = 0.02; β2=-0.039, p = 0.008). The mediation effect was 0.005 (95% CI [0.0004, 0.012], OR: 1.005, 95% CI [1.000, 1.012]), accounting for 7.04% of the total effect. subsequently, we examined the phenotypic co-localization of the two pairings independently, revealing that the posterior probability of rs145516501 associated with IL-2 and BPH was 80.7%, whereas the posterior likelihood of rs4917820 linked to N6,N6-dimethyllysine levels and BPH was 95.9%. The research indicated that N6,N6-dimethyllysine levels seem to influence the causative relationship between IL-2 and BPH. These results elucidate the complex interplay between inflammation-related proteins and metabolism in the context of BPH, offering novel diagnostic and therapeutic avenues and enhancing our comprehension of the disease's etiology for prospective research.

Indexed as

InflammationMendelian Randomization AnalysisProstatic HyperplasiaAgedHumansInterleukin-2LysineMaleMiddle AgedPolymorphism, Single NucleotideInterleukin-2LysineBPHColocalizationInflammation-related proteinsMediation analysisMendelian randomizationPlasma metabolites

Identifiers

PMID39478098
PMCPMC11525667

What Socratic 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 Socratic graph.