Department of Medicine (DIMED), University of Padua, 35121 Padua, Italy.
Surgical Pathology Unit, Padua University Hospital, 35121 Padua, Italy.
Cells. 2022 Mar 16;11(6):1011. doi: 10.3390/cells11061011.
The transcriptomic profiling of lung damage associated with SARS-CoV-2 infection may lead to the development of effective therapies to prevent COVID-19-related deaths. We selected a series of 21 autoptic lung samples, 14 of which had positive nasopharyngeal swabs for SARS-CoV-2 and a clinical diagnosis of COVID-19-related death; their pulmonary viral load was quantified with a specific probe for SARS-CoV-2. The remaining seven cases had no documented respiratory disease and were used as controls. RNA from formalin-fixed paraffin-embedded (FFPE) tissue samples was extracted to perform gene expression profiling by means of targeted (Nanostring) and comprehensive RNA-Seq. Two differential expression designs were carried out leading to relevant results in terms of deregulation. SARS-CoV-2 positive specimens presented a significant overexpression in genes of the type I interferon signaling pathway (IFIT1, OAS1, ISG15 and RSAD2), complement activation (C2 and CFB), macrophage polarization (PKM, SIGLEC1, CD163 and MS4A4A) and Cathepsin C (CTSC). CD163, Siglec-1 and Cathepsin C overexpression was validated by immunohistochemistry. SFTPC, the encoding gene for pulmonary-associated surfactant protein C, emerged as a key identifier of COVID-19 patients with high viral load. This study successfully recognized SARS-CoV-2 specific immune signatures in lung samples and highlighted new potential therapeutic targets. A better understanding of the immunopathogenic mechanisms of SARS-CoV-2 induced lung damage is required to develop effective individualized pharmacological strategies.
与 SARS-CoV-2 感染相关的肺损伤的转录组分析可能会导致开发出有效的治疗方法,以预防与 COVID-19 相关的死亡。我们选择了一系列 21 例尸检肺样本,其中 14 例鼻咽拭子对 SARS-CoV-2 呈阳性,临床诊断为 COVID-19 相关死亡;他们的肺部病毒载量用 SARS-CoV-2 的特定探针进行了量化。其余 7 例没有记录的呼吸道疾病,用作对照。从福尔马林固定石蜡包埋 (FFPE) 组织样本中提取 RNA,通过靶向 (Nanostring) 和综合 RNA-Seq 进行基因表达谱分析。进行了两种差异表达设计,从而在失调方面得出了相关结果。SARS-CoV-2 阳性标本中 I 型干扰素信号通路 (IFIT1、OAS1、ISG15 和 RSAD2)、补体激活 (C2 和 CFB)、巨噬细胞极化 (PKM、SIGLEC1、CD163 和 MS4A4A) 和组织蛋白酶 C (CTSC) 的基因表达显著上调。通过免疫组织化学验证了 CD163、Siglec-1 和组织蛋白酶 C 的过表达。编码肺相关表面活性蛋白 C 的 SFTPC 基因成为高病毒载量 COVID-19 患者的关键识别标志。这项研究成功地在肺样本中识别出 SARS-CoV-2 特异性免疫特征,并突出了新的潜在治疗靶点。为了开发有效的个体化药物治疗策略,需要更好地了解 SARS-CoV-2 诱导的肺损伤的免疫发病机制。