Multi-omic insights into mitochondrial dysfunction and prostatic disease: evidence from transcriptomics, proteomics, and methylomics.

IF 2.8 3区 生物学 Q2 GENETICS & HEREDITY
Frontiers in Genetics Pub Date : 2025-08-22 eCollection Date: 2025-01-01 DOI:10.3389/fgene.2025.1609933
Binbin Gong, Feixiang Yang, Ning Zhang, Zhengyang Wu, Tianrui Liu, Kun Wang, Xiangyu Zhang, Yangyang Zhang, Zhengyao Song, Chaozhao Liang
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引用次数: 0

Abstract

Background: Prostatic diseases, consisting of prostatitis, benign prostatic hyperplasia (BPH), and prostate cancer (PCa), pose significant health challenges. While single-omics studies have provided valuable insights into the role of mitochondrial dysfunction in prostatic diseases, integrating multi-omics approaches is essential for uncovering disease mechanisms and identifying therapeutic targets.

Methods: A genome-wide meta-analysis was conducted for prostatic diseases using the genome-wide association studies (GWAS) data from FinnGen and UK Biobank. Mitochondrial dysfunction-related genes were reviewed based on MitoCarta 3.0, with a library containing 1,244 mitochondrial genes. We integrated multi-omics through quantitative trait loci (QTL) across gene expression (eQTLs), protein abundance (pQTLs), and DNA methylation (mQTLs). We prioritized prostatic disease-related mitochondrial genes into three confidence tiers: Tier 1 (two eQTLs + pQTL + mQTL); Tier 2 (two eQTLs + pQTL/mQTL); and Tier 3 (eQTL + pQTL/mQTL). Further mediation analyses were performed to explore potential mediating pathways for the interaction between mitochondrial dysfunction and prostatic diseases, with 1,400 metabolomics and 731 immunomics.

Results: We identified DCXR as the gene with Tier 1 evidence for BPH, validated by multi-omics integration through transcriptomic, proteomic, and methylomic signatures. We revealed two Tier 2 genes (NOA1 and ELAC2) and one Tier 3 gene (ACAT1) for BPH, two Tier 3 genes (TRMU and SFXN5) for prostatitis, and six Tier 3 genes (MRPL24, NDUFS6, PUS1, NBR1, GLOD4, and PCBD2) for PCa. We also explored the mediating pathways of mitochondrial genes (within the 3-tiers evidence) on prostatic diseases, and identified 8, 4, and 13 metabolites mediating the interaction between mitochondrial genes and BPH, prostatitis, and PCa, respectively, without the involvement of immune characters.

Conclusion: These findings highlight the roles of mitochondrial dysfunction-related genes in prostatic diseases and identify key genes and pathways for potential therapeutic targets.

线粒体功能障碍和前列腺疾病的多组学研究:来自转录组学、蛋白质组学和甲基组学的证据。
背景:前列腺炎、良性前列腺增生(BPH)和前列腺癌(PCa)等前列腺疾病对健康构成重大挑战。虽然单组学研究为线粒体功能障碍在前列腺疾病中的作用提供了有价值的见解,但整合多组学方法对于揭示疾病机制和确定治疗靶点至关重要。方法:利用FinnGen和UK Biobank的全基因组关联研究(GWAS)数据,对前列腺疾病进行全基因组荟萃分析。利用MitoCarta 3.0软件对线粒体功能障碍相关基因进行分析,共获得1244个线粒体基因库。我们通过跨基因表达(eQTLs)、蛋白质丰度(pQTLs)和DNA甲基化(mQTLs)的数量性状位点(QTL)整合多组学。我们将前列腺疾病相关线粒体基因分为三个置信度层:第1层(两个eqtl + pQTL + mQTL);Tier 2(2个eqtl + pQTL/mQTL);三级(eQTL + pQTL/mQTL)。研究人员利用1400个代谢组学和731个免疫组学进行了进一步的中介分析,以探索线粒体功能障碍与前列腺疾病之间相互作用的潜在中介途径。结果:我们确定DCXR是BPH的一级证据基因,通过转录组学、蛋白质组学和甲基组学特征进行多组学整合验证。我们发现两个二级基因(NOA1和ELAC2)和一个三级基因(ACAT1)与BPH有关,两个三级基因(TRMU和SFXN5)与前列腺炎有关,六个三级基因(MRPL24、NDUFS6、PUS1、NBR1、GLOD4和PCBD2)与PCa有关。我们还探索了线粒体基因(在3层证据中)对前列腺疾病的介导途径,在不涉及免疫特性的情况下,分别鉴定了8、4和13种代谢物介导线粒体基因与BPH、前列腺炎和前列腺癌的相互作用。结论:这些发现突出了线粒体功能障碍相关基因在前列腺疾病中的作用,并确定了潜在治疗靶点的关键基因和途径。
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来源期刊
Frontiers in Genetics
Frontiers in Genetics Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍: Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public. The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.
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