COVID-19 中的先天性免疫反应:临床病例系列中 NK 淋巴细胞的单细胞多组学特征。

IF 8.2 2区 生物学 Q1 CELL BIOLOGY Cell Communication and Signaling Pub Date : 2024-10-15 DOI:10.1186/s12964-024-01867-5
Silvia Barbon, Fabrizio Armellin, Verena Passerini, Sergio De Angeli, Simona Primerano, Laura Del Pup, Elisabetta Durante, Veronica Macchi, Raffaele De Caro, Pier Paolo Parnigotto, Arianna Veronesi, Andrea Porzionato
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引用次数: 0

摘要

背景:由严重急性呼吸系统综合征-冠状病毒 2 型(SARS-CoV-2)引起的 COVID-19 大流行是近几十年来全球最大的健康紧急事件。宿主对 SARS-CoV-2 的免疫反应似乎在疾病发病机制和临床表现中起着关键作用,其中自然杀伤(NK)淋巴细胞是病毒诱导调节的目标之一:本研究对 COVID-19 患者 NK 淋巴细胞的转录本和蛋白质进行了单细胞多组学分析,以确定先天性免疫反应的特征。从采集的成年受试者外周血样本中分离 NK 细胞,分为 3 个研究组:(1) 非感染受试者(Naïve 组,n = 3);(2) COVID-19 后康复受试者(Healed 组,n = 3);(3) 接种过 SARS-CoV-2 疫苗的患者(Vaccine 组,n = 3)。然后用 BD Rhapsody 系统分析细胞,对转录组和膜蛋白进行单细胞多组学研究:结果:生物信息学分析确定了基因/蛋白标记表达不同的 5 个细胞群,将 NK 细胞亚群定义为 "活性 NK 细胞 "和 "成熟 NK 细胞"。通过计算各细胞群在患者组中的相对比例,发现超过 40% 的天真组细胞群属于成熟 NK 细胞,而超过 75% 的疫苗组细胞群属于活性 NK 细胞群。至于痊愈组,它似乎表现出介于活性和成熟 NK 细胞之间的表型。通过比较 3 个实验组的特征,发现特定基因、蛋白质和信号通路的表达存在差异,这表明接种疫苗的患者与康复者相比,NK 细胞表型更加活化:本研究发现了与 SARS-CoV-2 感染和接种疫苗有关的 NK 细胞标志物的不同表达,这表明有可能找出关键的分子靶点,用于临床诊断个人对病毒感染和/或再感染的反应。
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Innate immune response in COVID-19: single-cell multi-omics profile of NK lymphocytes in a clinical case series.

Background: COVID-19 pandemic caused by the Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) represents the biggest global health emergency in recent decades. The host immune response to SARS-CoV-2 seems to play a key role in disease pathogenesis and clinical manifestations, with Natural Killer (NK) lymphocytes being among the targets of virus-induced regulation.

Methods: This study performed a single-cell multi-omics analysis of transcripts and proteins of NK lymphocytes in COVID-19 patients, for the characterization of the innate immunological response to infection. NK cells were isolated from peripheral blood samples collected from adult subjects divided into 3 study groups: (1) non-infected subjects (Naïve group, n = 3), (2) post COVID-19 convalescent subjects (Healed group, n = 3) and (3) patients that were vaccinated against SARS-CoV-2 (Vaccine group, n = 3). Cells were then analysed by the BD Rhapsody System for the single-cell multi-omics investigation of transcriptome and membrane proteins.

Results: The bioinformatic analysis identified 5 cell clusters which differentially expressed gene/protein markers, defining NK cell subsets as "Active NK cells" and "Mature NK cells". Calculating the relative proportion of each cluster within patient groups, more than 40% of the Naïve group cell population was found to belong to Mature NKs, whereas more than 75% of the Vaccine group cell population belonged to the cluster of Active NKs. Regarding the Healed group, it seemed to show intermediate phenotype between Active and Mature NK cells. Differential expression of specific genes, proteins and signaling pathways was detected comparing the profile of the 3 experimental groups, revealing a more activated NK cell phenotype in vaccinated patients versus recovered individuals.

Conclusions: The present study detected differential expression of NK cell markers in relation to SARS-CoV-2 infection and vaccine administration, suggesting the possibility to identify key molecular targets for clinical-diagnostic use of the individual response to viral infection and/or re-infection.

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来源期刊
CiteScore
11.00
自引率
0.00%
发文量
180
期刊介绍: Cell Communication and Signaling (CCS) is a peer-reviewed, open-access scientific journal that focuses on cellular signaling pathways in both normal and pathological conditions. It publishes original research, reviews, and commentaries, welcoming studies that utilize molecular, morphological, biochemical, structural, and cell biology approaches. CCS also encourages interdisciplinary work and innovative models, including in silico, in vitro, and in vivo approaches, to facilitate investigations of cell signaling pathways, networks, and behavior. Starting from January 2019, CCS is proud to announce its affiliation with the International Cell Death Society. The journal now encourages submissions covering all aspects of cell death, including apoptotic and non-apoptotic mechanisms, cell death in model systems, autophagy, clearance of dying cells, and the immunological and pathological consequences of dying cells in the tissue microenvironment.
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