Characterization of the single cell landscape in normal and osteoarthritic equine joints.

4区 医学 Annals of translational medicine Pub Date : 2024-10-20 Epub Date: 2024-10-15 DOI:10.21037/atm-24-40
Dylan T Ammons, Lyndah Chow, Laurie Goodrich, Luke Bass, Blaine Larson, Zoë J Williams, Jason W Stoneback, Steven Dow, Lynn M Pezzanite
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Abstract

Background: Osteoarthritis (OA) is a major source of pain and disability worldwide. Understanding of disease progression is evolving, but OA is increasingly thought to be a multifactorial disease in which the innate immune system plays a role in regulating and perpetuating low-grade inflammation. The aim of this study was to enhance our understanding of OA immunopathogenesis through characterization of the transcriptomic responses in OA joints, with the goal to facilitate the development of targeted therapies.

Methods: Single-cell RNA sequencing (scRNA-seq) was completed on cells isolated from the synovial fluid of three normal and three OA equine joints. In addition to synovial fluid, scRNA-seq was also performed on synovium from one normal joint and one OA joint.

Results: Characterization of 28,639 cells isolated from normal and OA-affected equine synovial fluid revealed the composition to be entirely immune cells (CD45+) with 8 major populations and 26 subpopulations identified. In synovial fluid, we found myeloid cells (macrophage and dendritic cells) to be overrepresented and T cells (CD4 and CD8) to be underrepresented in OA relative to normal joints. Through subcluster and differential abundance analysis of T cells we further identified a relative overrepresentation of IL23R+ gamma-delta (γδ) T cells in OA-affected joints (a cell type we report to be enriched in gene signatures associated with T helper 17 mediated immunity). Analysis of an additional 17,690 cells (11 distinct cell type clusters) obtained from synovium of one horse led to the identification of an OA-associated reduction in the relative abundance of synovial macrophages, which contrasts with the increased relative abundance of macrophages in synovial fluid. Completion of cell-cell interaction analysis implicated myeloid cells in disease progression, suggesting that the myeloid-myeloid interactions were increased in OA-affected joints.

Conclusions: Overall, this work provides key insights into the composition of equine synovial fluid and synovium in health and OA. The data generated in this study provides equine-specific cell type gene signatures which can be applied to future investigations. Furthermore, our analysis highlights the potential role of macrophages and IL23R+ γδ T cells in OA immunopathogenesis.

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正常马关节和骨关节炎马关节中单细胞景观的特征。
背景:骨关节炎(OA)是全球疼痛和残疾的主要原因。人们对疾病进展的认识在不断发展,但越来越多的人认为骨关节炎是一种多因素疾病,其中先天性免疫系统在调节和维持低度炎症方面发挥着作用。本研究的目的是通过描述OA关节的转录组反应,加深我们对OA免疫发病机制的了解,从而促进靶向疗法的开发:对从三个正常马关节和三个 OA 马关节滑液中分离出来的细胞进行了单细胞 RNA 测序(scRNA-seq)。除了滑液外,还对一个正常关节和一个 OA 关节的滑膜进行了 scRNA 测序:对从正常和受 OA 影响的马关节滑液中分离出的 28,639 个细胞进行表征后发现,这些细胞完全由免疫细胞(CD45+)组成,其中有 8 个主要种群和 26 个亚种群。在滑液中,我们发现与正常关节相比,髓系细胞(巨噬细胞和树突状细胞)在 OA 中的比例偏高,而 T 细胞(CD4 和 CD8)的比例偏低。通过对T细胞进行亚簇和差异丰度分析,我们进一步发现在受OA影响的关节中,IL23R+γ-δ(γδ)T细胞的比例相对过高(我们报告称这种细胞类型富含与T辅助细胞17介导的免疫相关的基因特征)。对从一匹马的滑膜中获得的另外 17,690 个细胞(11 个不同的细胞类型群)进行分析后发现,与 OA 相关的滑膜巨噬细胞相对丰度降低,这与滑膜液中巨噬细胞相对丰度增加形成了鲜明对比。完成的细胞-细胞相互作用分析表明,髓系细胞与疾病进展有关,这表明在受 OA 影响的关节中,髓系细胞-髓系细胞之间的相互作用增加了:总之,这项研究为了解健康和 OA 状态下马滑液和滑膜的组成提供了重要依据。本研究中生成的数据提供了马特有的细胞类型基因特征,可用于未来的研究。此外,我们的分析强调了巨噬细胞和 IL23R+ γδ T 细胞在 OA 免疫发病机制中的潜在作用。
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期刊介绍: The Annals of Translational Medicine (Ann Transl Med; ATM; Print ISSN 2305-5839; Online ISSN 2305-5847) is an international, peer-reviewed Open Access journal featuring original and observational investigations in the broad fields of laboratory, clinical, and public health research, aiming to provide practical up-to-date information in significant research from all subspecialties of medicine and to broaden the readers’ vision and horizon from bench to bed and bed to bench. It is published quarterly (April 2013- Dec. 2013), monthly (Jan. 2014 - Feb. 2015), biweekly (March 2015-) and openly distributed worldwide. Annals of Translational Medicine is indexed in PubMed in Sept 2014 and in SCIE in 2018. Specific areas of interest include, but not limited to, multimodality therapy, epidemiology, biomarkers, imaging, biology, pathology, and technical advances related to medicine. Submissions describing preclinical research with potential for application to human disease, and studies describing research obtained from preliminary human experimentation with potential to further the understanding of biological mechanism underlying disease are encouraged. Also warmly welcome are studies describing public health research pertinent to clinic, disease diagnosis and prevention, or healthcare policy.
 With a focus on interdisciplinary academic cooperation, ATM aims to expedite the translation of scientific discovery into new or improved standards of management and health outcomes practice.
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