通过单细胞转录组学解读糖尿病性骨关节炎的软骨细胞多样性。

IF 3.1 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2025-04-01 Epub Date: 2025-01-17 DOI:10.1016/j.compbiolchem.2025.108356
Wei Qin , Shao Xu , Jiatian Wei , Fuxi Li , Chuanxia Zhang , Huantian Zhang , Yuanxian Liu
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引用次数: 0

摘要

骨关节炎(OA)和糖尿病性骨关节炎(DOA)之间的病理生理区别是至关重要的,但尚未得到很好的描述。在这项研究中,我们使用单细胞RNA测序来阐明支持这两种疾病进展的独特细胞和分子机制。我们在DOA中发现了一种新的软骨细胞亚群,称为“热休克”软骨细胞,其特征是不同分子标记的表达,包括HSPA1A、HSPA1B、HSPB1和HSPA8。我们的综合基因表达分析显示,在效应和增殖软骨细胞亚群中,与氧化应激相关的炎症通路(即MAPK、NF-κB和PI3K信号通路)明显上调,在DOA中占主导地位。此外,我们对细胞间通讯的研究表明,与OA相比,DOA的细胞间信号传导明显减少。这些发现不仅阐明了不同的细胞异质性和区分OA和DOA的潜在致病机制,而且增强了我们对它们的分子病理生理学的理解,为靶向治疗策略提供了新的途径。
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Deciphering chondrocyte diversity in diabetic osteoarthritis through single-cell transcriptomics
The pathophysiological distinctions between osteoarthritis (OA) and diabetic osteoarthritis (DOA) are critical yet not well delineated. In this study, we employed single-cell RNA sequencing to clarify the unique cellular and molecular mechanisms underpinning the progression of both conditions. We identified a novel subpopulation of chondrocytes in DOA, termed 'Heat Shock' chondrocytes, marked by the expression of distinct molecular markers including HSPA1A, HSPA1B, HSPB1, and HSPA8. Our comprehensive gene expression analysis revealed a pronounced upregulation of inflammatory pathways associated with oxidative stress—namely the MAPK, NF-κB, and PI3K signaling pathways—in the effector and proliferating chondrocyte subpopulations, with a predominance in DOA. Further, our investigation into cell-cell communication demonstrated a significant diminution of intercellular signaling in DOA compared to OA. These insights not only elucidate distinct cellular heterogeneities and potential pathogenic mechanisms differentiating OA from DOA but also enhance our understanding of their molecular pathophysiology, offering novel avenues for targeted therapeutic strategies.
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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