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鉴定糖尿病勃起功能障碍大鼠的枢纽生物标志物,并探讨免疫、M6A、铁死亡或铜死亡的作用。

Identification of hub biomarkers and exploring the roles of immunity, M6A, ferroptosis, or cuproptosis in rats with diabetic erectile dysfunction.

机构信息

Department of Urology, Affiliated Hospital of Nantong University, Nantong, China.

Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Andrology. 2023 Feb;11(2):316-331. doi: 10.1111/andr.13265. Epub 2022 Aug 24.

Abstract

BACKGROUND

Currently, patients with diabetic erectile dysfunction (DMED) were not satisfied with the effects of first-line phosphodiesterase type 5 inhibitors (PDE5Is). Hence, this paper was designed to mine hub biomarkers in DMED and explore its potential mechanisms.

METHODS

Gene expression matrix of DMED was downloaded from the gene expression omnibus (GEO; GSE2457) dataset. The top 20 genes were selected based on the connectivity degrees in protein-protein interaction (PPI) network. Functional enrichment analysis was utilized to reveal DMED-related signaling pathways. We also explored the roles of immunity, m6A, ferroptosis, or cuproptosis in DMED and constructed Sprague Dawley (SD) rats DMED model to verify gene expressions by quantitative real-time polymerase chain reaction (qRT-PCR).

RESULTS

Based on the threshold, a total of 122 differently expressed genes (DEGs) were identified in DMED, including 39 up-regulated and 83 down-regulated genes. Functional enrichment analysis implied that these DEGs were significantly enriched in peroxisome proliferator-activated receptors, ferroptosis, hypoxia-inducible factor 1 signaling pathways, and so on. SD rats DMED model was also successfully established by us and validated by intracavernous pressure/mean arterial pressure, Masson's trichrome staining, and immunohistochemical analysis. We further verified the expression of these top 20 genes from the PPI network by qRT-PCR in the SD rats DMED model and finally identified Sparc, Lox, Srebf1, and Mmp3 as hub biomarkers (all p < 0.05). As for immunity and cuproptosis, our analysis indicated that DMED had nothing to do with them (all p > 0.05). Actually, DMED was markedly associated with m6A regulators and ferroptosis.

CONCLUSIONS

We identified Sparc, Lox, Srebf1, and Mmp3 as potential hub biomarkers in the SD rats DMED model for future drug development and found its significant associations with m6A regulators and ferroptosis, but not with immunity or cuproptosis.

摘要

背景

目前,糖尿病性勃起功能障碍(DMED)患者对一线磷酸二酯酶 5 抑制剂(PDE5Is)的疗效并不满意。因此,本文旨在挖掘 DMED 的枢纽生物标志物,并探讨其潜在机制。

方法

从基因表达综合数据库(GEO;GSE2457)数据集下载 DMED 的基因表达矩阵。基于蛋白质-蛋白质相互作用(PPI)网络中的连接度,选择前 20 个基因。采用功能富集分析揭示 DMED 相关信号通路。我们还探讨了免疫、m6A、铁死亡和铜死亡在 DMED 中的作用,并构建 Sprague Dawley(SD)大鼠 DMED 模型,通过实时定量聚合酶链反应(qRT-PCR)验证基因表达。

结果

根据阈值,共鉴定出 DMED 中的 122 个差异表达基因(DEGs),包括 39 个上调基因和 83 个下调基因。功能富集分析表明,这些 DEGs 显著富集于过氧化物酶体增殖物激活受体、铁死亡、缺氧诱导因子 1 信号通路等通路。我们还成功建立了 SD 大鼠 DMED 模型,并通过海绵体内压/平均动脉压、Masson 三色染色和免疫组织化学分析进行了验证。我们进一步通过 qRT-PCR 在 SD 大鼠 DMED 模型中验证了 PPI 网络中这 20 个基因的表达,最终确定 Sparc、Lox、Srebf1 和 Mmp3 为枢纽生物标志物(均 p<0.05)。至于免疫和铜死亡,我们的分析表明它们与 DMED 无关(均 p>0.05)。实际上,DMED 与 m6A 调节剂和铁死亡显著相关。

结论

我们确定了 Sparc、Lox、Srebf1 和 Mmp3 为 SD 大鼠 DMED 模型中的潜在枢纽生物标志物,为未来的药物开发提供了依据,并发现其与 m6A 调节剂和铁死亡显著相关,而与免疫或铜死亡无关。

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