铁死亡相关人类疾病与基因的关联分析与预测  

Association Analysis and Prediction of Ferroptosis-Related Human Diseases and Genes

作　　者：邰杨芳 付颖 TAI Yang-fang;FU Ying(School of Management,Shanxi Medical University,Taiyuan 030001,China)

机构地区：[1]山西医科大学管理学院,太原030001

出　　处：《科学技术与工程》2025年第10期4027-4036,共10页Science Technology and Engineering

基　　金：山西省高等学校一般性教学改革创新项目(J20230538,J20240522)。

摘　　要：为揭示铁死亡相关疾病与基因之间的关联规律、预测潜在的疾病-基因关联,通过分析铁死亡相关研究文献,提取了疾病和基因实体,构建疾病-基因复杂网络,进一步分析了网络的基本特征。采用Apriori算法提取疾病-基因的强关联规则,并通过链路预测技术识别潜在的疾病-基因关联对。结果表明:铁死亡在肝细胞癌、腺癌、乳腺癌、结直肠癌等致死性疾病中发挥了重要作用;GPX4、ROS等基因通过调控铁稳态、氧化应激和脂质过氧化等生物过程,在细胞生存或凋亡过程中具有关键性作用;GPX4、ROS等基因与多种疾病存在显著的关联性。链路预测技术揭示了腺癌、肺癌、结直肠癌、乳腺癌等癌症的潜在靶基因,并通过文献调研对部分预测结果进行了初步验证。可见,本文方法具有可行性和有效性。研究结果可为铁死亡相关疾病的预防与治疗研究提供有价值参考和未来方向。In order to reveal the association patterns between ferroptosis-related diseases and genes and predict potential Disease-Gene associations,ferroptosis-related research literature was analyzed to extract disease and gene entities,and a disease-gene complex network was constructed.The network's basic characteristics were further analyzed,and the Apriori algorithm was applied to extract strong disease-gene association rules.Link prediction technology was used to identify potential disease-gene associations.The results show as follows.ferroptosis plays a critical role in lethal diseases such as hepatocellular carcinoma,adenocarcinoma,breast cancer,and colorectal cancer.The genes such as GPX4 and ROS play key roles in cell survival or death through the regulation of iron homeostasis,oxidative stress,and lipid peroxidation.GPX 4 and ROS are significantly associated with various diseases.The link prediction method revealed potential target genes for adenocarcinoma,lung cancer,colorectal cancer,and breast cancer,and preliminary validation of some predicted results was conducted through literature review.It is concluded that the research methodology employed in this study is both feasible and effective.The findings offer valuable references and suggest future directions for research on the prevention and treatment of ferroptosis-related diseases.

关 键 词：铁死亡 关联网络 APRIORI算法 关联规则 链路预测 

分 类 号：R394[医药卫生—医学遗传学]