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

IF 1.3 4区 医学 Q4 UROLOGY & NEPHROLOGY
Current Urology Pub Date : 2026-01-01 Epub Date: 2025-09-11 DOI:10.1097/CU9.0000000000000307
Mengjun Huang, Dong Ning, Tongyu Tong, Qiliang Teng, Fei Cao, Yupeng Guan, Yiting Wang, Hanqi Lei, Jun Pang
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引用次数: 0

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 N-acetyl-arginine were linked to an increased risk. Other significant metabolites included the phosphate-to-2'-deoxyuridine ratio; N6-methyl-lysine, N-acetyl-leucine, N-succinyl-phenylalanine, and cysteinylglycine disulfide levels; and the α-ketoglutarate-to-ornithine ratio. Sensitivity analyses and the MR-Steiger test confirmed the robustness and causal direction of these associations. In addition, further analysis indicated that certain metabolites may influence PCa risk by modulating the expression of inflammatory markers, such as leukemia inhibitory factor receptor, interleukin-8, and CD33-related markers.

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.

血浆代谢物与前列腺癌之间的因果关系:一项探索免疫和炎症介质的孟德尔随机研究。
背景:代谢改变和炎症过程在前列腺癌(PCa)的发病机制中起着重要作用。本研究使用孟德尔随机化(MR)来研究血浆代谢物与PCa之间的因果关系,并确定潜在的介质,包括免疫细胞特性和循环炎症蛋白。材料和方法:使用来自加拿大老龄化纵向研究和PCa全基因组关联研究的数据进行2样本MR分析。共分析了1400种血浆代谢物。单核苷酸多态性被仔细地选择和细化使用连锁不平衡聚集。采用方差反加权法进行初步分析,并辅以敏感性分析,包括MR-Egger、加权中位数、mr -多效性残差和Outlier等,以确保结果的稳健性。结果:8种代谢物与PCa有显著相关性。具体来说,较高的磷酸尿苷比与PCa风险降低有关,而较高水平的n -乙酰精氨酸与风险增加有关。其他重要的代谢物包括磷酸与2'-脱氧尿苷的比值;n6 -甲基赖氨酸、n -乙酰亮氨酸、n -琥珀酰苯丙氨酸和半胱氨酸二硫;α-酮戊二酸与鸟氨酸的比值。敏感性分析和MR-Steiger检验证实了这些关联的稳健性和因果方向。此外,进一步的分析表明,某些代谢物可能通过调节炎症标志物的表达来影响PCa的风险,如白血病抑制因子受体、白细胞介素-8和cd33相关标志物。结论:本研究确定了血浆代谢物对PCa风险的因果影响,并强调了免疫特性和炎症蛋白的介导作用。这些发现强调了所涉及的生物学途径的复杂性,并提出了治疗干预的潜在目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current Urology
Current Urology Medicine-Urology
CiteScore
2.30
自引率
0.00%
发文量
96
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