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基于机器学习的腰椎间盘突出症铜死亡相关分子簇和免疫特征的鉴定。

Identification of copper death-associated molecular clusters and immunological profiles for lumbar disc herniation based on the machine learning.

机构信息

Department of Tuina, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, 310000, China.

Respiratory Department, The First People's Hospital of Lanzhou, Lanzhou, Gansu, China.

出版信息

Sci Rep. 2024 Aug 20;14(1):19294. doi: 10.1038/s41598-024-69700-0.

DOI:10.1038/s41598-024-69700-0
PMID:39164344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11336120/
Abstract

Lumbar disc herniation (LDH) is a common clinical spinal disorder, yet its etiology remains unclear. We aimed to explore the role of cuproptosis-related genes (CRGs) and identify potential diagnostic biomarkers. Our analysis involved interrogating the GSE124272 and GSE150408 datasets for differential gene expression profiles associated with CRGs and immune characteristics. Molecular clustering was performed on LDH samples, followed by expression and immune infiltration analyses. Using the WGCNA algorithm, specific genes within CRG clusters were identified. After selecting the most predictive genes from the optimal model, four machine learning models were constructed and validated. This study identified nine CRGs associated with copper-regulated cell death. Two copper-containing molecular clusters linked to death were detected in LDH samples. Elevated expression and immune infiltration levels were found in LDH patients, particularly in CRG cluster C2. Utilizing XGB, five genes were identified for constructing a diagnostic model, achieving an area under the curve values of 0.715. In conclusion, this research provides valuable insights into the association between LDH and copper-regulated cell death, alongside proposing a promising predictive model.

摘要

腰椎间盘突出症(LDH)是一种常见的临床脊柱疾病,但病因仍不清楚。我们旨在探讨铜死亡相关基因(CRGs)的作用,并确定潜在的诊断生物标志物。我们的分析涉及对 GSE124272 和 GSE150408 数据集进行分析,以确定与 CRGs 和免疫特征相关的差异基因表达谱。对 LDH 样本进行分子聚类,然后进行表达和免疫浸润分析。使用 WGCNA 算法,确定了 CRG 聚类中的特定基因。从最优模型中选择最具预测性的基因后,构建并验证了四个机器学习模型。本研究确定了与铜调节细胞死亡相关的 9 个 CRGs。在 LDH 样本中检测到与死亡相关的两个含铜分子簇。在 LDH 患者中发现了升高的表达和免疫浸润水平,特别是在 CRG 簇 C2 中。利用 XGB,确定了五个基因用于构建诊断模型,曲线下面积值为 0.715。总之,这项研究提供了关于 LDH 与铜调节细胞死亡之间关联的有价值的见解,并提出了一个有前途的预测模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/c4340e7db811/41598_2024_69700_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/d3f9d14b295a/41598_2024_69700_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/be7d631ad4d6/41598_2024_69700_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/ecfaff79e50a/41598_2024_69700_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/ca464507502f/41598_2024_69700_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/26aa85cd5593/41598_2024_69700_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/24d3362c5904/41598_2024_69700_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/eb77da7a4f97/41598_2024_69700_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/bfdcb0172bf1/41598_2024_69700_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/c4340e7db811/41598_2024_69700_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/d3f9d14b295a/41598_2024_69700_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/be7d631ad4d6/41598_2024_69700_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/ecfaff79e50a/41598_2024_69700_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/ca464507502f/41598_2024_69700_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/26aa85cd5593/41598_2024_69700_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/24d3362c5904/41598_2024_69700_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/eb77da7a4f97/41598_2024_69700_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/bfdcb0172bf1/41598_2024_69700_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f543/11336120/c4340e7db811/41598_2024_69700_Fig9_HTML.jpg

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