five

A Novel Single Cell RNA-seq Analysis of Circulating Immune Cells in Late Sepsis

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE175453
下载链接
链接失效反馈
官方服务:
资源简介:
With the successful implementation of guidelines from the Surviving Sepsis Campaign, in-hospital mortality to sepsis continues to decrease. However, this is has not lead to completely improved outcomes after sepsis. Up to 1/3 of sepsis survivors continue to have dismal long-term outcomes and 1-year mortality. Although the pathobiology of the dismal outcomes after sepsis remains undefined, it is thought that late after sepsis individuals enter a state of pathologic myeloid activation, inducing suboptimal lymphopoiesis and erythropoiesis, with many of the downstream immune cells being dysfunctional. The goal of this study was to use single-cell RNA sequencing to perform a detailed transcriptomic analysis of non-myeloid cells to better understand the pathology of late sepsis. Our findings highlight the unique transcriptomic pattern that circulating non-myeloid cells display 14 days after sepsis. Non-myeloid leukocytes in particular reveal an endotype of inflammation, immunosuppression and dysfunction. Immunomodulatory therapies at this late time point in sepsis may be feasible through precision medicine. A mixture of whole blood myeloid-enriched and Ficoll-enriched peripheral blood mononuclear cells from four late septic patients (post-sepsis day 14-21, RAP n=1 and CCI n=3) and five healthy subjects underwent Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq).

随着拯救脓毒症运动(Surviving Sepsis Campaign)指南的成功落地,脓毒症患者的院内死亡率持续下降。然而这并未完全改善脓毒症患者的远期预后:多达三分之一的脓毒症幸存者仍面临极差的长期结局与1年死亡率。尽管脓毒症后不良预后的病理生物学机制仍未明确,但学界认为脓毒症后期个体将进入病理性髓系激活状态,引发淋巴细胞生成与红细胞生成功能低下,且大量下游免疫细胞出现功能失调。本研究旨在通过单细胞RNA测序(single-cell RNA sequencing)对非髓系细胞开展详细的转录组分析,以深入阐明脓毒症后期的病理机制。本研究结果揭示了脓毒症后14天时循环非髓系细胞所呈现的独特转录组特征,尤其是非髓系白细胞,其炎症、免疫抑制与功能失调的免疫内型(endotype)特征显著。在此脓毒症后期节点,基于精准医学的免疫调节治疗或具备可行性。本研究采集了4名脓毒症后期患者(脓毒症后14~21天,其中RAP 1例、CCI 3例)与5名健康受试者的样本,将全血髓系富集组分与菲科(Ficoll)富集的外周血单个核细胞混合后,开展了转录组与表位测序细胞索引技术(Cellular Indexing of Transcriptomes and Epitopes by Sequencing,CITE-seq)检测。
创建时间:
2021-09-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作