Combined single-cell RNA sequencing and mendelian randomization to identify biomarkers associated with necrotic apoptosis in intervertebral disc degeneration.

IF 4.9 1区 医学 Q1 CLINICAL NEUROLOGY Spine Journal Pub Date : 2025-01-01 Epub Date: 2024-09-25 DOI:10.1016/j.spinee.2024.09.011
Yi Ye, Lun Wan, Jiang Hu, Xiaoxue Li, Kun Zhang
{"title":"Combined single-cell RNA sequencing and mendelian randomization to identify biomarkers associated with necrotic apoptosis in intervertebral disc degeneration.","authors":"Yi Ye, Lun Wan, Jiang Hu, Xiaoxue Li, Kun Zhang","doi":"10.1016/j.spinee.2024.09.011","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Intervertebral disc degeneration (IDD) is associated with back pain; back pain is a world-wide contributor to poor quality of life, while necroptosis has the characteristics of necroptosis and apoptosis, however, its role in IDD is still unclear. Therefore, the aim of this study was to identify biomarkers associated with necroptosis in IDD.</p><p><strong>Purpose: </strong>To explore biomarkers associated with necroptosis in IDD, reveal the pathogenesis of IDD, as well as provide new directions for the diagnosis and treatment of this disease.</p><p><strong>Study design/settings: </strong>Retrospective cohort study. Our study employs scRNA-seq coupled with MR analysis to investigate the causal relationship between necroptosis and IDD, laying a foundational groundwork for unveiling the intricate pathogenic mechanisms of this condition.</p><p><strong>Methods: </strong>Data quality control and normalisation was executed in single-cell dataset, GSE205535. Then, different cell types were obtained by cell annotation through marker genes. Subsequently, chi-square test was employed to assess the distribution difference of different cell types between IDD and control to screen key cells. AUCell was applied to calculate necroptosis-related genes (NRGs) scores of all cell types, further key cells were divided into high and low NRGs groups according to the median AUC scores of different cell types. Afterwards, the differentially expressed genes (DEGs) within the 2 score groups were screened. Then, the genes that had causal relationship with IDD were selected as biomarkers by univariate and multivariate Mendelian randomization (MR) analysis. Finally, the expression of biomarkers in different cell types and pseudo-time analysis was analyzed separately.</p><p><strong>Results: </strong>In GSE205535, 16 different cell populations identified by UMAP cluster analysis were further annotated to 8 cell types using maker genes. Afterwards, 53 DEGs were screened between the high and low NRGs groups. In addition, 9 genes with causal relationship with IDD were obtained by univariate MR analysis, further multivariate MR analysis proved that NT5E and TMEM158 had a direct causal relationship with IDD, which were used as biomarkers in this study. This study not only found that the expression levels of NT5E and TMEM158 were higher in IDD group, but also found that fibrochondrocytes and inflammatory chondrocytes were the key cells of NT5E and TMEM158, respectively. In the end, the biomarkers had the same expression trend in the quasi-time series, and both of them from high to low and then increased.</p><p><strong>Conclusions: </strong>NT5E and TMEM158, as biomarkers of necroptotic apoptotic IDD, were causally associated with IDD.</p><p><strong>Clinical significance: </strong>The understanding of chondrocytes as key cells provides new perspectives for deeper elucidation of the pathogenesis of IDD, improved diagnostic methods, and the development of more effective treatments. These findings are expected to provide a more accurate and personalised approach to clinical diagnosis and treatment, thereby improving the prognosis and quality of life of patients with IDD.</p>","PeriodicalId":49484,"journal":{"name":"Spine Journal","volume":" ","pages":"165-183"},"PeriodicalIF":4.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spine Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.spinee.2024.09.011","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Intervertebral disc degeneration (IDD) is associated with back pain; back pain is a world-wide contributor to poor quality of life, while necroptosis has the characteristics of necroptosis and apoptosis, however, its role in IDD is still unclear. Therefore, the aim of this study was to identify biomarkers associated with necroptosis in IDD.

Purpose: To explore biomarkers associated with necroptosis in IDD, reveal the pathogenesis of IDD, as well as provide new directions for the diagnosis and treatment of this disease.

Study design/settings: Retrospective cohort study. Our study employs scRNA-seq coupled with MR analysis to investigate the causal relationship between necroptosis and IDD, laying a foundational groundwork for unveiling the intricate pathogenic mechanisms of this condition.

Methods: Data quality control and normalisation was executed in single-cell dataset, GSE205535. Then, different cell types were obtained by cell annotation through marker genes. Subsequently, chi-square test was employed to assess the distribution difference of different cell types between IDD and control to screen key cells. AUCell was applied to calculate necroptosis-related genes (NRGs) scores of all cell types, further key cells were divided into high and low NRGs groups according to the median AUC scores of different cell types. Afterwards, the differentially expressed genes (DEGs) within the 2 score groups were screened. Then, the genes that had causal relationship with IDD were selected as biomarkers by univariate and multivariate Mendelian randomization (MR) analysis. Finally, the expression of biomarkers in different cell types and pseudo-time analysis was analyzed separately.

Results: In GSE205535, 16 different cell populations identified by UMAP cluster analysis were further annotated to 8 cell types using maker genes. Afterwards, 53 DEGs were screened between the high and low NRGs groups. In addition, 9 genes with causal relationship with IDD were obtained by univariate MR analysis, further multivariate MR analysis proved that NT5E and TMEM158 had a direct causal relationship with IDD, which were used as biomarkers in this study. This study not only found that the expression levels of NT5E and TMEM158 were higher in IDD group, but also found that fibrochondrocytes and inflammatory chondrocytes were the key cells of NT5E and TMEM158, respectively. In the end, the biomarkers had the same expression trend in the quasi-time series, and both of them from high to low and then increased.

Conclusions: NT5E and TMEM158, as biomarkers of necroptotic apoptotic IDD, were causally associated with IDD.

Clinical significance: The understanding of chondrocytes as key cells provides new perspectives for deeper elucidation of the pathogenesis of IDD, improved diagnostic methods, and the development of more effective treatments. These findings are expected to provide a more accurate and personalised approach to clinical diagnosis and treatment, thereby improving the prognosis and quality of life of patients with IDD.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
结合单细胞 RNA 测序和门德尔随机化技术,确定与椎间盘退变中坏死凋亡相关的生物标记物。
背景:椎间盘退变(IDD)与背痛有关;背痛是导致生活质量下降的一个世界性因素,而坏死具有坏死和凋亡的特征,但其在IDD中的作用仍不清楚。因此,本研究旨在确定与IDD坏死相关的生物标志物。目的:探讨与IDD坏死相关的生物标志物,揭示IDD的发病机制,并为该病的诊断和治疗提供新的方向:回顾性队列研究。我们的研究采用scRNA-seq与MR分析相结合的方法,探讨坏死细胞增多症与IDD之间的因果关系,为揭示该病错综复杂的发病机制奠定基础:方法:在单细胞数据集 GSE205535 中进行数据质量控制和归一化。然后,通过标记基因进行细胞注释,得到不同的细胞类型。然后,采用卡方检验评估IDD和对照组不同细胞类型的分布差异,筛选出关键细胞。应用AUCell计算所有细胞类型的坏死相关基因(NRGs)得分,再根据不同细胞类型的AUC得分中位数将关键细胞分为高NRGs组和低NRGs组。然后,筛选两组中的差异表达基因(DEG)。然后,通过单变量和多变量孟德尔随机化(MR)分析,筛选出与IDD有因果关系的基因作为生物标志物。最后,分别分析了生物标志物在不同细胞类型中的表达情况和伪时间分析:结果:在 GSE205535 中,通过 UMAP 聚类分析确定了 16 种不同的细胞群,并使用 maker 基因将其进一步注释为 8 种细胞类型。随后,在高 NRGs 组和低 NRGs 组之间筛选出 53 个 DEGs。此外,通过单变量磁共振分析得到了9个与IDD有因果关系的基因,进一步的多变量磁共振分析证明,NT5E和TMEM158与IDD有直接因果关系,本研究将这两个基因作为生物标记物。本研究不仅发现 IDD 组中 NT5E 和 TMEM158 的表达水平较高,还发现纤维软骨细胞和炎性软骨细胞分别是 NT5E 和 TMEM158 的关键细胞。最后,这两个生物标志物在准时间序列中的表达趋势相同,都是由高到低,然后再升高:结论:NT5E和TMEM158作为IDD坏死凋亡的生物标志物,与IDD存在因果关系:对软骨细胞作为关键细胞的认识为深入阐明 IDD 的发病机制、改进诊断方法和开发更有效的治疗方法提供了新的视角。这些发现有望为临床诊断和治疗提供更准确和个性化的方法,从而改善 IDD 患者的预后和生活质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Spine Journal
Spine Journal 医学-临床神经学
CiteScore
8.20
自引率
6.70%
发文量
680
审稿时长
13.1 weeks
期刊介绍: The Spine Journal, the official journal of the North American Spine Society, is an international and multidisciplinary journal that publishes original, peer-reviewed articles on research and treatment related to the spine and spine care, including basic science and clinical investigations. It is a condition of publication that manuscripts submitted to The Spine Journal have not been published, and will not be simultaneously submitted or published elsewhere. The Spine Journal also publishes major reviews of specific topics by acknowledged authorities, technical notes, teaching editorials, and other special features, Letters to the Editor-in-Chief are encouraged.
期刊最新文献
The association of lumbar intervertebral disc degeneration with low back pain is modified by underlying genetic propensity to pain. Effect of the cone-beam CT acquisition trajectory on image quality in spine surgery: experimental cadaver study. The establishment of a novel upper cervical complex fracture classification system. Specific plasma biomarker signatures associated with patients undergoing surgery for back pain. The spinopelvic alignment in patients with prior knee or hip arthroplasty undergoing elective lumbar surgery.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1