Yishan Liu, Yang Li, Yixuan Liu, Zhongya Gao, Jianjun Zhang, Youcai Qiu, Can Wang, Xuhua Lu, Jiandong Yang
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Subsequently, Weighted Gene Co-expression Network Analysis (WGCNA) was implemented to pinpoint co-expression modules linked to OLF and AS. Common genes were further subjected to an examination of functional pathway enrichment. Moreover, hub intersection genes were identified using the Least Absolute Shrinkage and Selection Operator (LASSO) regression, followed by an evaluation of diagnostic performance in external OLF and AS cohorts. Lastly, an analysis of immune cell infiltration was conducted to scrutinize the correlation of immune cell presence with shared biomarkers in OLF and AS.</p><p><strong>Results: </strong>A total of 1353 and 91 Differentially Expressed Genes (DEGs) were identified in OLF and AS, respectively. Using the Weighted Gene Co-expression Network Analysis (WGCNA), 2 modules were found to be notably significant for OLF and AS. The integrative bioinformatic analysis revealed 3 hub genes (MAB21L2, MEGF10, ISLR) as shared risk biomarkers, with MAB21L2 being the central focus. Receiver Operating Characteristic (ROC) analysis exhibited a strong diagnostic potential for these hub genes. Gene Ontology (GO) analysis indicated their involvement in the positive regulation of myoblast proliferation. Notably, MAB21L2 was singled out as the optimal common biomarker for OLF and AS. Furthermore, an analysis of immune infiltration demonstrated a correlation between MAB21L2 expression and changes in immune cells. Activated CD8 T cells were identified as shared differential immune infiltrating cells significantly linked to MAB21L2 in both OLF and AS.</p><p><strong>Conclusion: </strong>This study represents the first instance of identifying MAB21L2 as a prospective diagnostic marker for patients contending with OLF associated with AS. The research results indicate that the ECM-receptor interaction and the cell-cell adhesion may play a role in both disease processes. 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引用次数: 0
摘要
研究设计背景:基因表达总库(GEO)的生物信息学分析:背景:黄韧带骨化(OLF)和强直性脊柱炎(AS)是以软骨内骨化逐渐发展为特征的复杂病症。本研究试图揭示与异位骨化相关的常见生物标志物,并探索潜在的分子调控机制:方法:从基因表达总库(Gene Expression Omnibus,GEO)检索微阵列和RNA测序数据集,以发现OLF和AS数据集中的差异表达基因(DEGs)。随后,通过加权基因共表达网络分析(WGCNA)确定了与OLF和AS相关的共表达模块。对共同基因进一步进行了功能通路富集检查。此外,还使用最小绝对缩减和选择操作器(LASSO)回归法确定了中心交叉基因,然后评估了外部 OLF 和 AS 队列的诊断性能。最后,对免疫细胞浸润进行了分析,以仔细研究免疫细胞的存在与 OLF 和 AS 中共享生物标记物的相关性:结果:在OLF和AS中分别发现了1353个和91个差异表达基因(DEG)。通过加权基因共表达网络分析(WGCNA),发现2个模块对OLF和AS具有显著意义。综合生物信息学分析显示,3个中心基因(MAB21L2、MEGF10、ISLR)是共同的风险生物标志物,其中MAB21L2是中心基因。接收方操作特征(ROC)分析表明,这些中心基因具有很强的诊断潜力。基因本体(GO)分析表明,这些基因参与了对成肌细胞增殖的正向调控。值得注意的是,MAB21L2 被选为 OLF 和 AS 的最佳共同生物标志物。此外,对免疫浸润的分析表明了 MAB21L2 表达与免疫细胞变化之间的相关性。活化的 CD8 T 细胞被确定为 OLF 和 AS 中与 MAB21L2 显著相关的共同差异免疫浸润细胞:本研究首次将 MAB21L2 鉴定为与强直性脊柱炎相关的 OLF 患者的前瞻性诊断标志物。研究结果表明,ECM-受体相互作用和细胞-细胞粘附可能在这两种疾病过程中都起作用。这些新发现不仅加深了我们对脊柱韧带骨化背后发病机制的了解,还发现了潜在的治疗干预靶点。
Investigation of the Shared Biomarkers in Heterotopic Ossification Between Ossification of the Ligamentum Flavum and Ankylosing Spondylitis.
Study design: Bioinformatics analysis of Gene Expression Omnibus (GEO).
Objective: Ossification of the ligamentum flavum (OLF) and ankylosing spondylitis (AS) represent intricate conditions marked by the gradual progression of endochondral ossification. This investigation endeavors to unveil common biomarkers associated with heterotopic ossification and explore the potential molecular regulatory mechanisms.
Methods: Microarray and RNA-sequencing datasets retrieved from the Gene Expression Omnibus (GEO) repository were harnessed to discern differentially expressed genes (DEGs) within the OLF and AS datasets. Subsequently, Weighted Gene Co-expression Network Analysis (WGCNA) was implemented to pinpoint co-expression modules linked to OLF and AS. Common genes were further subjected to an examination of functional pathway enrichment. Moreover, hub intersection genes were identified using the Least Absolute Shrinkage and Selection Operator (LASSO) regression, followed by an evaluation of diagnostic performance in external OLF and AS cohorts. Lastly, an analysis of immune cell infiltration was conducted to scrutinize the correlation of immune cell presence with shared biomarkers in OLF and AS.
Results: A total of 1353 and 91 Differentially Expressed Genes (DEGs) were identified in OLF and AS, respectively. Using the Weighted Gene Co-expression Network Analysis (WGCNA), 2 modules were found to be notably significant for OLF and AS. The integrative bioinformatic analysis revealed 3 hub genes (MAB21L2, MEGF10, ISLR) as shared risk biomarkers, with MAB21L2 being the central focus. Receiver Operating Characteristic (ROC) analysis exhibited a strong diagnostic potential for these hub genes. Gene Ontology (GO) analysis indicated their involvement in the positive regulation of myoblast proliferation. Notably, MAB21L2 was singled out as the optimal common biomarker for OLF and AS. Furthermore, an analysis of immune infiltration demonstrated a correlation between MAB21L2 expression and changes in immune cells. Activated CD8 T cells were identified as shared differential immune infiltrating cells significantly linked to MAB21L2 in both OLF and AS.
Conclusion: This study represents the first instance of identifying MAB21L2 as a prospective diagnostic marker for patients contending with OLF associated with AS. The research results indicate that the ECM-receptor interaction and the cell-cell adhesion may play a role in both disease processes. This newfound knowledge not only enhances our understanding of the pathogenesis behind spinal ligament ossification but also uncovers potential targets for therapeutic interventions.
期刊介绍:
Global Spine Journal (GSJ) is the official scientific publication of AOSpine. A peer-reviewed, open access journal, devoted to the study and treatment of spinal disorders, including diagnosis, operative and non-operative treatment options, surgical techniques, and emerging research and clinical developments.GSJ is indexed in PubMedCentral, SCOPUS, and Emerging Sources Citation Index (ESCI).