Decoding the immune landscape following hip fracture in elderly patients: unveiling temporal dynamics through single-cell RNA sequencing.

IF 5.2 2区 医学 Q1 GERIATRICS & GERONTOLOGY
Yining Lu, Yang Luo, Qi Zhang, Wei Chen, Ning Zhang, Ling Wang, Yingze Zhang
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引用次数: 0

Abstract

Background: Hip fractures in the elderly have significant consequences, stemming from the initial trauma and subsequent surgeries. Hidden blood loss and stress due to concealed injury sites could impact the whole osteoimmune microenvironment. This study employs scRNA-seq technique to map immune profiles in elderly hip fracture patients from post-trauma to the recovery period, investigating the dynamic changes of immune inflammation regulation subgroups.

Methods: We collected peripheral blood samples from four elderly hip fracture patients (two males and two females, all > 75 years of age) at three different time points (24 h post-trauma, 24 h post-operation, and day 7 post-operation) and applied scRNA-seq technique to analyze the cellular heterogeneity and identify differentially expressed genes in peripheral blood individual immune cells from elderly hip fracture patients.

Results: In this study, we analyzed the composition and gene expression profiles of peripheral blood mononuclear cells (PBMCs) from elderly hip fracture patients by scRNA-seq and further identified new CD14 monocyte subpopulations based on marker genes and transcriptional profiles. Distinct gene expression changes were observed in various cell subpopulations at different time points. C-Mono2 monocyte mitochondria-related genes were up-regulated and interferon-related and chemokine-related genes were down-regulated within 24 h post-operation. Further analysis of gene expression profiles at day 7 post-operation showed that C-Mono2 monocytes showed downregulation of inflammation-related genes and osteoblast differentiation-related genes. However, the expression of these genes in cytotoxic T cells, Treg cells, and B cell subsets exhibited a contrasting trend. GZMK+CD8+ cytotoxic T cells showed downregulation of chemokine-related genes, and Treg cells showed upregulation of genes related to the JAK/STAT signaling pathway. Furthermore, we examined interactions among diverse immune cell subsets, pinpointing specific ligand-receptor pairs. These findings imply cross-talk and communication between various cell types in the post-traumatic immune response.

Conclusions: Our study elucidates the notable alterations in immune cell subpopulations during different stages of hip fracture in elderly patients, both in terms of proportions and differential gene expressions. These changes provide significant clinical implications for tissue repair, infection prevention, and fracture healing in clinic.

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解码老年患者髋部骨折后的免疫景观:通过单细胞RNA测序揭示时间动态。
背景:老年人髋部骨折有着严重的后果,源于最初的创伤和随后的手术。隐性损伤部位引起的隐性失血和应激可能会影响整个骨免疫微环境。本研究采用scRNA-seq技术绘制老年髋部骨折患者从创伤后到恢复期的免疫图谱,研究免疫炎症调节亚组的动态变化。方法:收集4例老年髋部骨折患者(男2例,女2例,均> 75岁),并应用scRNA-seq技术分析老年髋部骨折患者外周血单个免疫细胞的细胞异质性和鉴定差异表达基因。结果:在本研究中,我们通过scRNA-seq分析了老年髋部骨折患者外周血单核细胞(PBMC)的组成和基因表达谱,并根据标记基因和转录谱进一步鉴定了新的CD14单核细胞亚群。在不同的时间点,在不同的细胞亚群中观察到不同的基因表达变化。术后24小时内,C-Mono2单核细胞线粒体相关基因上调,干扰素相关基因和趋化因子相关基因下调。对手术后第7天的基因表达谱的进一步分析显示,C-Mono2单核细胞显示出炎症相关基因和成骨细胞分化相关基因的下调。然而,这些基因在细胞毒性T细胞、Treg细胞和B细胞亚群中的表达呈现出相反的趋势。GZMK+CD8+细胞毒性T细胞显示出趋化因子相关基因的下调,Treg细胞显示出与JAK/STAT信号通路相关基因的上调。此外,我们检测了不同免疫细胞亚群之间的相互作用,精确定位了特定的配体-受体对。这些发现暗示了创伤后免疫反应中各种细胞类型之间的串扰和交流。结论:我们的研究阐明了老年患者髋部骨折不同阶段免疫细胞亚群在比例和差异基因表达方面的显著变化。这些变化为临床组织修复、感染预防和骨折愈合提供了重要的临床意义。
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来源期刊
Immunity & Ageing
Immunity & Ageing GERIATRICS & GERONTOLOGY-IMMUNOLOGY
CiteScore
10.20
自引率
3.80%
发文量
55
期刊介绍: Immunity & Ageing is a specialist open access journal that was first published in 2004. The journal focuses on the impact of ageing on immune systems, the influence of aged immune systems on organismal well-being and longevity, age-associated diseases with immune etiology, and potential immune interventions to increase health span. All articles published in Immunity & Ageing are indexed in the following databases: Biological Abstracts, BIOSIS, CAS, Citebase, DOAJ, Embase, Google Scholar, Journal Citation Reports/Science Edition, OAIster, PubMed, PubMed Central, Science Citation Index Expanded, SCImago, Scopus, SOCOLAR, and Zetoc.
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