High-Dimensional Immunophenotyping of Post-COVID-19 and Post-Influenza Patients Reveals Persistent and Specific Immune Signatures After Acute Respiratory Infection

IF 6.8 3区 医学 Q1 VIROLOGY
Francisco Pérez-Cózar, Paloma Cal-Sabater, Paulina Rybakowska, Elisa Arribas-Rodríguez, Aida Fiz-López, Antonio García-Blesa, Juan Hernández, Sara Gutiérrez, Pablo Tellería, Cristina Novoa, Silvia Rojo Rello, Ángel De Prado, Cándido Pérez, Rosa Sedano, Marta Domínguez-Gil, María Jesús Peñarrubia, Daan K. J. Pieren, José A. Garrote, Eduardo Arranz, José María Eiros, Eduardo Tamayo, Antonio Orduña, Cécile A.C.M. van Els, Carlos Dueñas, Concepción Marañón, David Bernardo, Sara Cuesta-Sancho
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Abstract

Long-term consequences of SARS-CoV-2 infection are unknown since recovered individuals can experience symptoms and latent viral reactivation for months. Indeed, acute post-infection sequelae have also been observed in other respiratory viral infections, including influenza. To characterize post-COVID-19 and post-influenza induced alterations to the cellular immunome, peripheral blood mononuclear cells (PBMCs) were obtained from patients 3 months after recovery from COVID-19 (n = 93) or influenza (n = 25), and from pre-pandemic healthy controls (n = 25). PBMCs were characterized using a 40-plex mass cytometry panel. Principal component analysis (PCA), classification models, and K-means clustering were subsequently applied. PCA identified distinct immune profiles between cohorts, with both post-COVID and post-flu patients displaying an altered chemokine receptor expression compared to pre-pandemic healthy controls. These alterations were more prominent in post-COVID patients since they exhibited highly increased expression of chemokine receptors CXCR3 and CCR6 by various lymphoid populations, while post-influenza patients mainly showed a decrease in CCR4 expression by naïve T cells, monocytes, and conventional dendritic cells. Classification models using immunophenotyping data confirm the three groups, while K-means clustering revealed two subgroups among post-COVID patients, with younger patients showing more pronounced immune alterations in the chemokine receptor profile, independently of long COVID symptoms. In conclusion, post-COVID and post-influenza patients exhibit distinct and unique persistent immune alterations. Understanding these altered immune profiles can guide targeted therapies for post-COVID syndrome and highlight differences in immune recovery from various respiratory infections.

covid -19后和流感后患者高维免疫表型揭示急性呼吸道感染后持续和特异性免疫特征
SARS-CoV-2感染的长期后果尚不清楚,因为康复后的个体可能会出现数月的症状和潜伏的病毒再激活。事实上,在包括流感在内的其他呼吸道病毒感染中也观察到急性感染后后遗症。为了表征COVID-19后和流感后诱导的细胞免疫组改变,从COVID-19 (n = 93)或流感(n = 25)康复后3个月的患者以及大流行前健康对照(n = 25)中获取外周血单个核细胞(PBMCs)。采用40层细胞计数仪对pbmc进行表征。随后应用主成分分析(PCA)、分类模型和K-means聚类。PCA确定了不同队列之间的不同免疫谱,与大流行前的健康对照相比,covid后和流感后患者的趋化因子受体表达都有所改变。这些变化在covid后患者中更为突出,因为他们在各种淋巴细胞群体中表现出趋化因子受体CXCR3和CCR6的高度表达,而流感后患者主要表现为naïve T细胞、单核细胞和常规树突状细胞中CCR4的表达降低。使用免疫表型数据的分类模型证实了这三组,而K-means聚类在COVID后患者中显示了两个亚组,年轻患者在趋化因子受体谱中表现出更明显的免疫改变,与长期的COVID症状无关。总之,covid后和流感后患者表现出明显而独特的持续免疫改变。了解这些改变的免疫特征可以指导针对covid后综合征的靶向治疗,并突出各种呼吸道感染后免疫恢复的差异。
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来源期刊
Journal of Medical Virology
Journal of Medical Virology 医学-病毒学
CiteScore
23.20
自引率
2.40%
发文量
777
审稿时长
1 months
期刊介绍: The Journal of Medical Virology focuses on publishing original scientific papers on both basic and applied research related to viruses that affect humans. The journal publishes reports covering a wide range of topics, including the characterization, diagnosis, epidemiology, immunology, and pathogenesis of human virus infections. It also includes studies on virus morphology, genetics, replication, and interactions with host cells. The intended readership of the journal includes virologists, microbiologists, immunologists, infectious disease specialists, diagnostic laboratory technologists, epidemiologists, hematologists, and cell biologists. The Journal of Medical Virology is indexed and abstracted in various databases, including Abstracts in Anthropology (Sage), CABI, AgBiotech News & Information, National Agricultural Library, Biological Abstracts, Embase, Global Health, Web of Science, Veterinary Bulletin, and others.
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