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圆锥角膜中线粒体功能障碍的解析:基于机器学习的批量和单细胞转录组分析及实验验证对ACSL4的深入洞察。

Deciphering mitochondrial dysfunction in keratoconus: Insights into ACSL4 from machine learning-based bulk and single-cell transcriptome analyses and experimental validation.

作者信息

Cai Yuchen, Zhou Tianyi, Cai Xueyao, Shi Wenjun, Sun Hao, Fu Yao

机构信息

Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.

出版信息

Comput Struct Biotechnol J. 2025 May 14;27:1962-1974. doi: 10.1016/j.csbj.2025.05.013. eCollection 2025.

Abstract

Keratoconus (KC) is a prevalent ectatic corneal disease and the leading cause of corneal transplantation globally. Despite evidence of mitochondrial abnormalities in KC, the underlying mechanisms remain unclear. Our aim was to investigate the role of mitochondrial dysfunction in this pathological condition. Based on transcriptomics datasets of KC, mitochondria-related differentially expressed genes (mDEGs) were identified and analyzed for potential functional pathways, protein-protein interaction (PPI), and gene regulatory networks. Hub genes were further screened and validated by multiple machine learning (ML) algorithms, followed by a comprehensive visualization of single-cell atlas and immune landscape. Additionally, bioinformatic results were validated through quantitative PCR, Western blot, and transcriptomics analysis in an in vitro KC model based on matrix stiffness using human stromal keratocytes. In total, 104 mDEGs were identified, enriched in pathways related to oxidative stress, apoptotic mitochondrial changes, ferroptosis, and inflammatory responses. Nine characteristic genes (CYP24A1, ACSL4, ACADL, HELZ2, AMT, DEPTOR, TUBA1A, TYMS, and ACSL5) were selected and validated using multiple ML models. Single cell sequencing data highlighted ACSL4 as the most promising biomarker, primarily expressed in corneal stromal cells (CSCs). Immune infiltration analysis revealed that ACSL4 was positively associated with monocytes and negatively correlated with eosinophils in KC. In cellular experiments, ACSL4 expression was significantly upregulated in response to decreased substrate stiffness, suggesting its critical role in KC development. These findings suggest a mitochondrial-related molecular mechanism implicated in KC pathogenesis. The identified pivotal biomarker ACSL4 provides a novel framework for future mechanistic and therapeutic studies of KC.

摘要

圆锥角膜(KC)是一种常见的角膜扩张性疾病,也是全球角膜移植的主要原因。尽管有证据表明KC存在线粒体异常,但其潜在机制仍不清楚。我们的目的是研究线粒体功能障碍在这种病理状态中的作用。基于KC的转录组学数据集,鉴定并分析了线粒体相关差异表达基因(mDEGs)的潜在功能途径、蛋白质-蛋白质相互作用(PPI)和基因调控网络。通过多种机器学习(ML)算法进一步筛选和验证枢纽基因,随后对单细胞图谱和免疫景观进行全面可视化。此外,通过定量PCR、蛋白质印迹和基于人角膜基质细胞基质硬度的体外KC模型中的转录组学分析,验证了生物信息学结果。总共鉴定出104个mDEGs,富集于与氧化应激、凋亡性线粒体变化、铁死亡和炎症反应相关的途径。选择了9个特征基因(CYP24A1、ACSL4、ACADL、HELZ2、AMT、DEPTOR、TUBA1A、TYMS和ACSL5)并使用多种ML模型进行验证。单细胞测序数据突出显示ACSL4是最有前景的生物标志物,主要在角膜基质细胞(CSCs)中表达。免疫浸润分析显示,在KC中ACSL4与单核细胞呈正相关,与嗜酸性粒细胞呈负相关。在细胞实验中,ACSL4的表达随着底物硬度的降低而显著上调,表明其在KC发展中的关键作用。这些发现提示了一种与线粒体相关的分子机制参与KC的发病机制。鉴定出的关键生物标志物ACSL4为未来KC的机制和治疗研究提供了一个新的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1a9/12149552/7ed4eaca4f82/ga1.jpg

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