Identification and verification of diagnostic biomarkers for deep infiltrating endometriosis based on machine learning algorithms.

IF 5.7 3区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Journal of Biological Engineering Pub Date : 2024-11-25 DOI:10.1186/s13036-024-00466-9

Shanping Shi, Chao Huang, Xiaojian Tang, Hua Liu, Weiwei Feng, Chen Chen

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引用次数: 0

Abstract

This study addresses the challenges in the early diagnosis of deep infiltrating endometriosis (DIE) by exploring the potential role of the deubiquitinating enzyme USP14. By analyzing the GSE141549 dataset from the Gene Expression Omnibus (GEO) database, using bioinformatics methods and three machine learning algorithms (LASSO, Random Forest, and Support Vector Machine), the key feature gene USP14 was identified. The results indicated that USP14 is significantly upregulated in DIE and exhibits good predictive value (AUC = 0.786). Further analysis revealed the important role of USP14 in muscle function, cellular growth factor response, and maintenance of chromosome structure, and its close association with various immune cell functions. Immunohistochemical staining confirmed the high expression of USP14 in DIE tissues. This study provides a new molecular target for the early diagnosis of DIE, which holds significant clinical implications and potential application value.

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基于机器学习算法的深部浸润性子宫内膜异位症诊断生物标志物的识别与验证。

本研究通过探索去泛素化酶 USP14 的潜在作用，解决了早期诊断深部浸润性子宫内膜异位症（DIE）的难题。通过分析基因表达总库（GEO）数据库中的 GSE141549 数据集，使用生物信息学方法和三种机器学习算法（LASSO、随机森林和支持向量机），确定了关键特征基因 USP14。结果表明，USP14 在 DIE 中明显上调，并表现出良好的预测价值（AUC = 0.786）。进一步的分析表明，USP14 在肌肉功能、细胞生长因子反应和染色体结构维护中发挥重要作用，并与各种免疫细胞功能密切相关。免疫组化染色证实了 USP14 在 DIE 组织中的高表达。这项研究为 DIE 的早期诊断提供了一个新的分子靶点，具有重要的临床意义和潜在的应用价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Biological Engineering BIOCHEMICAL RESEARCH METHODS-BIOTECHNOLOGY & APPLIED MICROBIOLOGY

CiteScore

7.10

自引率

1.80%

发文量

审稿时长

17 weeks

期刊介绍： Biological engineering is an emerging discipline that encompasses engineering theory and practice connected to and derived from the science of biology, just as mechanical engineering and electrical engineering are rooted in physics and chemical engineering in chemistry. Topical areas include, but are not limited to: Synthetic biology and cellular design Biomolecular, cellular and tissue engineering Bioproduction and metabolic engineering Biosensors Ecological and environmental engineering Biological engineering education and the biodesign process As the official journal of the Institute of Biological Engineering, Journal of Biological Engineering provides a home for the continuum from biological information science, molecules and cells, product formation, wastes and remediation, and educational advances in curriculum content and pedagogy at the undergraduate and graduate-levels. Manuscripts should explore commonalities with other fields of application by providing some discussion of the broader context of the work and how it connects to other areas within the field.