PANoptosis-Related Diagnostic Biomarkers in Non-Neovascular Age-Related Macular Degeneration: An Integrative Transcriptomic and Experimental Study.

IF 2.1 4区 生物学 Q4 GENETICS & HEREDITY
Genetics research Pub Date : 2026-02-13 eCollection Date: 2026-01-01 DOI:10.1155/genr/8903808
Jiaming Li, Yirong Ma, Miao Hu, Qian Zhang, Anqi Wang, Qiuyu Tang, Qinshang Guo, Binglin Huang
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引用次数: 0

Abstract

Age-related macular degeneration (AMD), particularly its non-neovascular (dry) form, is a progressive retinal disorder that causes central vision loss and substantial impairment in daily life. Inflammation and immune dysregulation are recognized as core drivers of AMD, yet the contribution of PANoptosis, a form of programmed cell death that integrates pyroptosis, apoptosis, and necroptosis, remains unclear. In this study, we integrated human single-cell transcriptomic and bulk microarray datasets from the retina and retinal pigment epithelium-choroid to characterize PANoptosis-related transcriptional changes in dry AMD. Dimensionality reduction, cell-type annotation, and PANoptosis gene-set scoring revealed a distinct PANoptosis signature enriched in AMD, with particularly strong activation in myeloid populations. By combining differential expression analysis with machine learning-based feature selection, we identified four PANoptosis-related genes (PON2, BNIP3, EPHB6, and TPD52) that robustly distinguished AMD from control samples and were associated with an altered immune microenvironment. Genetic instrument analysis further suggested a positive association between TPD52 expression and AMD risk. At the cellular level, our data highlighted macrophages, especially pro-inflammatory M1-like macrophages, as key coordinators of PANoptosis-related pathways in dry AMD. To validate these findings in vivo, we used a sodium iodate-induced mouse model of dry AMD and observed significant dysregulation of PON2, BNIP3, EPHB6, and TPD52 in the retina by RT-qPCR, consistent with the human transcriptomic results and supporting their involvement in retinal degeneration and inflammation. Together, these findings implicate PANoptosis as an important and previously underappreciated component of dry AMD pathophysiology, define a four-gene PANoptosis-related signature with diagnostic potential, and suggest new molecular targets for therapeutic intervention.

非新生血管性年龄相关性黄斑变性panopatosis相关诊断生物标志物:一项综合转录组学和实验研究。
年龄相关性黄斑变性(AMD),尤其是其非新生血管(干性)形式,是一种进行性视网膜疾病,可导致中央视力丧失和日常生活的实质性损害。炎症和免疫失调被认为是AMD的核心驱动因素,但PANoptosis(一种集焦亡、凋亡和坏死坏死为一体的程序性细胞死亡形式)的作用尚不清楚。在这项研究中,我们整合了来自视网膜和视网膜色素上皮-脉络膜的人类单细胞转录组和大量微阵列数据集,以表征干性AMD中panopopathy相关的转录变化。降维、细胞类型注释和PANoptosis基因集评分显示,AMD中存在明显的PANoptosis特征,在髓系人群中具有特别强的激活。通过将差异表达分析与基于机器学习的特征选择相结合,我们发现了四个panoptoysis相关基因(PON2, BNIP3, EPHB6和TPD52),这些基因可以将AMD与对照样品区分开来,并且与免疫微环境的改变有关。遗传仪器分析进一步表明TPD52表达与AMD风险呈正相关。在细胞水平上,我们的数据强调了巨噬细胞,特别是促炎的m1样巨噬细胞,是干性AMD中panopistic相关通路的关键协调者。为了在体内验证这些发现,我们使用碘酸钠诱导的干性AMD小鼠模型,通过RT-qPCR观察到视网膜中PON2、BNIP3、EPHB6和TPD52的显著失调,与人类转录组学结果一致,支持它们参与视网膜变性和炎症。总之,这些发现暗示PANoptosis是干性AMD病理生理的一个重要组成部分,以前未被充分认识,定义了具有诊断潜力的四基因PANoptosis相关特征,并为治疗干预提出了新的分子靶点。
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来源期刊
Genetics research
Genetics research 生物-遗传学
自引率
6.70%
发文量
74
审稿时长
>12 weeks
期刊介绍: Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.
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