单细胞多组学分析确定 SPP1+ 巨噬细胞是黄韧带肥厚中铁蛋白沉积介导的纤维化的关键驱动因素。

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Chengshuo Fei, Yanlin Chen, Ruiqian Tan, Xinxing Yang, Guanda Wu, Chenglong Li, Jiawei Shi, Shiyong Le, Wenjie Yang, Jiajia Xu, Liang Wang, Zhongmin Zhang
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引用次数: 0

摘要

背景:黄韧带肥大(LFH)是腰椎管狭窄的主要诱因。然而,对驱动LFH纤维化进展的细胞和分子机制的透彻理解仍然不完整。方法:采用单细胞RNA测序(scRNA-seq)技术构建人黄韧带(LF)单细胞图谱。采用集成的多组学方法,包括scRNA-seq,散装RNA测序(散装RNA-seq)和孟德尔随机化(MR),进行全面的功能分析。采用临床组织标本和动物模型进一步证实多组学研究结果。结果:ScRNA-seq提供了LF中纤维化微环境的单细胞水平视图,显示LFH中成纤维细胞、肌成纤维细胞和巨噬细胞的比例显着增加。通过透射电镜、单细胞基因集评分和MR分析,铁下垂被确定为LFH的关键危险因素和途径。成纤维细胞的亚群分析揭示了不同亚群之间的功能异质性,突出了高铁下垂评分的成纤维细胞的功能特征和代谢动力学(高铁评分FB)。单细胞水平的基因表达定量显示,在LFH标本中,铁下垂随着纤维化而增加,这一发现在人和小鼠组织切片中进一步得到证实。与此一致的是,bulk RNA-seq证实了LFH标本中成纤维细胞和巨噬细胞的比例增加,通过Spearman相关分析强调了这些细胞类型之间的强相关性。值得注意的是,单核吞噬细胞的亚群分析发现了富含LFH的SPP1+巨噬细胞(SPP1+ Mac)的一个特定亚群,其表现出纤维化和铁凋亡相关代谢途径的激活。细胞-细胞通讯分析强调,在LFH微环境中,SPP1+ Mac在单核吞噬细胞之间表现出最强的外向和传入相互作用。配体受体分析进一步揭示SPP1-CD44轴可能是调节高铁评分FB活性的关键介质。多重免疫荧光证实,在LFH标本中,SPP1-CD44共定位区域存在大量I型胶原沉积,铁蛋白轻链表达减少。结论:我们的研究结果表明,SPP1+ Mac可能通过SPP1- cd44轴调节高铁评分FB的铁下垂,从而促进LFH纤维化。这项研究增强了我们对LFH进展的细胞和分子机制的理解,有可能改善早期诊断策略并确定新的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-cell multi-omics analysis identifies SPP1+ macrophages as key drivers of ferroptosis-mediated fibrosis in ligamentum flavum hypertrophy.

Background: Ligamentum flavum hypertrophy (LFH) is a primary contributor to lumbar spinal stenosis. However, a thorough understanding of the cellular and molecular mechanisms driving LFH fibrotic progression remains incomplete.

Methods: Single-cell RNA sequencing (scRNA-seq) was performed to construct the single-cell map of human ligamentum flavum (LF) samples. An integrated multi-omics approach, encompassing scRNA-seq, bulk RNA sequencing (bulk RNA-seq), and Mendelian randomization (MR), was applied to conduct comprehensive functional analysis. Clinical tissue specimens and animal models were employed to further confirm the multi-omics findings.

Results: ScRNA-seq provided a single-cell level view of the fibrotic microenvironment in LF, revealing significantly increased proportions of fibroblasts, myofibroblasts, and macrophages in LFH. Using transmission electron microscopy, single-cell gene set scoring, and MR analysis, ferroptosis was identified as a critical risk factor and pathway within LFH. Subcluster analysis of fibroblasts revealed functional heterogeneity among distinct subpopulations, highlighting the functional characteristics and the metabolic dynamics of fibroblast with a high ferroptosis score (High Ferro-score FB). The quantification of gene expression at single-cell level revealed that ferroptosis increased along with fibrosis in LFH specimens, a finding further validated in both human and mice tissue sections. Consistently, bulk RNA-seq confirmed increased proportions of fibroblasts and macrophages in LFH specimens, underscoring a strong correlation between these cell types through Spearman correlation analysis. Notably, subcluster analysis of the mononuclear phagocytes identified a specific subset of SPP1+ macrophages (SPP1+ Mac) enriched in LFH, which exhibited activation of fibrosis and ferroptosis-related metabolic pathways. Cell-cell communication analysis highlighted that SPP1+ Mac exhibited the strongest outgoing and incoming interactions among mononuclear phagocytes in the LFH microenvironment. Ligand-receptor analysis further revealed that the SPP1-CD44 axis could serve as a key mediator regulating the activity of High Ferro-score FB. Multiplex immunofluorescence confirmed substantial Collagen I deposition and reduced Ferritin Light Chain expression in regions with SPP1-CD44 co-localization in LFH specimens.

Conclusions: Our findings indicated that SPP1+ Mac may contribute to LFH fibrosis by regulating ferroptosis in High Ferro-score FB through the SPP1-CD44 axis. This study enhances our understanding of the cellular and molecular mechanisms underlying LFH progression, potentially improving early diagnostic strategies and identifying new therapeutic targets.

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来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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