对比scRNA-seq分析COVID-19和特发性肺纤维化患者外周血单个核细胞显示不同的细胞移位和基因表达谱

A. Zhao, A. Unterman, J. Schupp, T. Adams, T. Sumida, C. Ryu, G. DeIuliis, X. Yan, D. Hafler, C. D. Dela Cruz, E. Herzog, N. Kaminski
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引用次数: 0

摘要

理由:与MERS和SARS等其他人类冠状病毒类似,COVID-19的严重表现与急性肺损伤和持续肺功能障碍有关。最近对重症COVID-19和特发性肺纤维化(IPF)患者肺组织的单细胞研究表明,这些疾病具有共同的促纤维化分子途径。为了确定是否可以在血液中检测到类似的变化,我们比较了IPF或COVID-19患者外周血单个核细胞(PBMCs)的单细胞RNA-seq谱,以流感和健康个体为对照。方法:本实验室采用10X Genomics 5’单细胞技术对25份IPF、18份COVID-19和13份健康对照PBMC样本进行测序。这些数据使用CellRanger进行处理,并与公开可用的Covid-19、流感和健康PBMC样本数据集集成,产生约30万个单细胞。重症COVID-19患者在ICU接受治疗并死亡,而重症IPF患者的无移植生存期不到3年。下游分析使用R包Seurat进行。Louvain聚类算法生成了28个不同的细胞簇。采用Wilcoxon秩和检验确定显著的细胞类型比例差异和差异表达基因(differential expression genes, DEGs)。通过富集r和基因集富集分析(GSEA)发现了显著富集的通路。结果:与健康患者相比,重症COVID-19患者的血小板占总细胞的比例显著升高(p = 0.0047),重症IPF患者的血小板占总细胞的比例显著升高(p = 0.05)。稳定IPF和严重COVID-19具有相似的血小板(p=0.15)和单核细胞(p=0.42)。在大多数细胞类型中,COVID-19和流感患者的基因表达变化与I型干扰素激活一致,而IPF患者相对于健康对照组表现出核糖体上调和促纤维化途径的变化。使用TGFB1靶点和效应物的复合促纤维化评分,分层聚类显著区分IPF和对照组与COVID-19和流感,可能明显突出疾病机制。在单核细胞中,我们没有观察到任何疾病患者样本中显著的促纤维化表型(SPP1, MMP9, CHI3L1, PLA2G7);这些基因的分层聚类再次将IPF和对照从COVID-19和流感中分离出来。结论:急性重症COVID-19感染患者外周血中未见促纤维化基因表达模式。需要对不同的COVID-19患者群体进行更多的研究,例如长期呼吸衰竭或恢复后持续呼吸功能障碍的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative scRNA-seq Analysis of Peripheral Blood Mononuclear Cells from Patients with COVID-19 and Idiopathic Pulmonary Fibrosis Demonstrates Dissimilar Cell Shifts and Gene Expression Profiles
Rationale: Similar to other human coronaviruses like MERS and SARS, severe manifestations of COVID-19 are associated with acute lung injury and sustained pulmonary dysfunction. A recent single-cell study of lung tissue from severe COVID-19 and idiopathic pulmonary fibrosis (IPF) patients suggested these diseases share common pro-fibrotic molecular pathways. To determine whether similar changes can be detected in the blood, we compared single-cell RNA-seq profiles of peripheral blood mononuclear cells (PBMCs) from patients with IPF or COVID-19, using influenza and healthy individuals as controls. Methods: 25 IPF, 18 COVID-19, and 13 healthy control PBMC samples were sequenced in our lab using 10X Genomics 5' single-cell technology. This data was processed using CellRanger and integrated with publicly available datasets of Covid-19, influenza, and healthy PBMC samples, yielding ∼300,000 single cells. Severe COVID-19 patients were treated in the ICU and succumbed to the disease, while severe IPF had transplant-free survival of fewer than three years. Downstream analysis was performed with the R package Seurat. The Louvain clustering algorithm generated 28 distinct cell clusters. Wilcoxon rank-sum test was used to determine significant cell type proportion differences and differentially expressed genes (DEGs). Significantly enriched pathways were found using EnrichR and Gene Set Enrichment Analysis (GSEA). Results: We report significantly increased platelets as a proportion of total cells in patients with severe COVID-19 (p = 0.0047) and severe IPF (p = 0.05) compared to healthy patients. Stable IPF and severe COVID-19 shared similar cell proportions of platelets (p=0.15) and monocytes (p=0.42). Across most cell types, COVID-19 and influenza patients had gene expression changes consistent with type I interferon activation while IPF patients exhibited changes in ribosomal upregulation and pro-fibrotic pathways relative to healthy controls. Using a composite pro-fibrotic score of TGFB1 targets and effectors, hierarchical clustering markedly differentiates between IPF and controls versus COVID-19 and influenza, perhaps distinctly highlighting mechanisms of disease. Within monocytes, we did not observe a significant pro-fibrotic phenotype (SPP1, MMP9, CHI3L1, PLA2G7) in samples of patients with any disease;hierarchical clustering of these genes again segregated IPF and controls from COVID-19 and influenza. Conclusions: Pro-fibrotic gene expression patterns could not be seen in PBMCs from patients with acute severe COVID-19 infection. More studies are needed in distinct COVID-19 patient populations, such as those with prolonged respiratory failure or with sustained respiratory dysfunction after recovery.
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