作为非特异性眼眶炎症生物标志物的糖异生相关基因特征

Gluconeogenesis related gene signatures as biomarkers for nonspecific orbital inflammation.

作者信息

Dong Bahe, Zheng Man, Xie Xiaofeng

机构信息

Shandong University of Traditional Chinese Medicine, Jinan, China.

Dongying People's Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, China.

出版信息

Sci Rep. 2025 Jul 1;15(1):20819. doi: 10.1038/s41598-025-05002-3.

Abstract

Nonspecific orbital inflammation (NSOI) is a chronic, idiopathic inflammatory disorder marked by persistent tissue proliferation and immune activation. Gluconeogenesis, a core metabolic pathway enabling endogenous glucose production in the absence of dietary input, plays a vital role in cellular energy homeostasis and immune regulation. Metabolic rewiring of immune cells is not merely a consequence of inflammation but a critical determinant of disease trajectory in orbital disorders. Within this conceptual landscape, the exploration of gluconeogenesis represents a logical and timely extension, offering potential insights into how alternative metabolic pathways may orchestrate immune cell function and fibrotic responses in the orbital microenvironment. Differentially expressed genes (DEGs) were intersected with a curated list of 53 gluconeogenesis-related genes (GRGs) to pinpoint candidates potentially involved in NSOI. Advanced methodologies, including Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA), were employed to elucidate biological functions. Further refinement using Lasso regression and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) facilitated the identification of key hub genes and evaluated their diagnostic potential for NSOI. Our investigation identified seven GRGs, ADH5, BPGM, PGM1, ADH4, ADH1B, G6PC3, ALDH1B1, that are closely associated with NSOI. Functional analyses revealed their involvement in processes such as pyruvate metabolic process, hexose metabolic process, monosaccharide metabolic process. Notably, the diagnostic capabilities of these GRGs demonstrated significant efficacy in distinguishing NSOI from unaffected states. Through rigorous bioinformatics analyses, this study identifies ADH5, BPGM, PGM1, ADH4, ADH1B, G6PC3, ALDH1B1 as novel biomarker candidates for NSOI, shedding light on their potential roles in the disease's pathogenesis.

摘要

非特异性眼眶炎症(NSOI)是一种慢性特发性炎症性疾病,其特征为持续的组织增殖和免疫激活。糖异生是在没有饮食摄入的情况下实现内源性葡萄糖生成的核心代谢途径,在细胞能量稳态和免疫调节中起着至关重要的作用。免疫细胞的代谢重编程不仅是炎症的结果,而且是眼眶疾病疾病轨迹的关键决定因素。在这一概念框架内,对糖异生的探索是一个合乎逻辑且及时的拓展,有望深入了解替代代谢途径如何在眼眶微环境中协调免疫细胞功能和纤维化反应。将差异表达基因(DEG)与精心策划的53个糖异生相关基因(GRG)列表进行交叉分析,以确定可能参与NSOI的候选基因。采用包括基因集富集分析(GSEA)和基因集变异分析(GSVA)在内的先进方法来阐明生物学功能。使用套索回归和支持向量机递归特征消除(SVM-RFE)进行进一步优化,有助于识别关键的枢纽基因,并评估它们对NSOI的诊断潜力。我们的研究确定了七个与NSOI密切相关的GRG,即ADH5、BPGM、PGM1、ADH4、ADH1B、G6PC3、ALDH1B1。功能分析表明它们参与了丙酮酸代谢过程、己糖代谢过程、单糖代谢过程等。值得注意的是,这些GRG的诊断能力在区分NSOI与未受影响状态方面显示出显著效果。通过严格的生物信息学分析,本研究确定ADH5、BPGM、PGM1、ADH4、ADH1B、G6PC3、ALDH1B1为NSOI的新型生物标志物候选物,揭示了它们在疾病发病机制中的潜在作用。

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