Koc University Research Center for Translational Medicine (KUTTAM), School of Medicine, Koc University, Istanbul 34010, Türkiye.
Department of Pulmonary Medicine, Faculty of Medicine, Cukurova University, Adana 01790, Türkiye.
Viruses. 2024 Jul 28;16(8):1211. doi: 10.3390/v16081211.
The multisystemic effects of COVID-19 may continue for a longer time period following the acute phase, depending on the severity of the disease. However, long-term systemic transcriptomic changes associated with COVID-19 disease and the impact of disease severity are not fully understood. We aimed to investigate the impact of COVID-19 and its severity on transcriptomic alterations in peripheral blood mononuclear cells (PBMCs) following 1 year of the disease. PBMCs were isolated from the peripheral blood of healthy control donors who did not have COVID-19 (C; = 13), from COVID-19 patients without pneumonia (NP; = 11), and from COVID-19 patients with severe pneumonia (SP; = 10) after 1-year of follow-up. Following RNA isolation from PBMCs, high-quality RNAs were sequenced after creating a library. Differentially expressed genes (DEGs) and differentially expressed long non-coding RNAs (DElncRNAs) were identified using Benjamini-Hochberg correction and they were analysed for hierarchical clustering and principal component analysis (PCA). Intergroup comparisons (C vs. NP, C vs. SP, and NP vs. SP) of DEGs and DElncRNAs were performed and hub genes were determined. Functional enrichment analyses of DEGs and DElncRNAs were made using Metascape (v3.5.20240101) and the first version of NCPATH. The RNA sequencing analysis revealed 4843 DEGs and 1056 DElncRNAs in "C vs. NP", 1651 DEGs and 577 DElncRNAs in "C vs. SP", and 954 DEGs and 148 DElncRNAs in "NP vs. SP", with 291 DEGs and 70 DElncRNAs shared across all groups, respectively. We identified 14 hub genes from 291 DEGs, with functional enrichment analysis showing upregulated DEGs mainly linked to inflammation and osteoclast differentiation and downregulated DEGs to viral infections and immune responses. The analysis showed that 291 common and 14 hub genes were associated with pneumonia and that these genes could be regulated by the transcription factors JUN and NFκB1 carrying the NFκB binding site. We also revealed unique immune cell signatures across DEG categories indicating that the upregulated DEGs were associated with neutrophils and monocytes, while downregulated DEGs were associated with CD4 memory effector T cells. The comparative transcriptomic analysis of NP and SP groups with 52 gene signatures suggestive of IPF risk showed a lower risk of IPF in the SP group than the NP patients. Our findings suggest that COVID-19 may cause long term pathologies by modulating the expression of various DEGs, DeLncRNAs, and hub genes at the cellular level.
新型冠状病毒病(COVID-19)的多系统影响可能在急性阶段后持续更长时间,具体取决于疾病的严重程度。然而,与 COVID-19 疾病相关的长期系统转录组变化及其对疾病严重程度的影响尚不完全清楚。我们旨在研究 COVID-19 及其严重程度对疾病 1 年后外周血单个核细胞(PBMC)转录组改变的影响。从没有 COVID-19 的健康对照供体(C;n=13)、没有肺炎的 COVID-19 患者(NP;n=11)和患有严重肺炎的 COVID-19 患者(SP;n=10)的外周血中分离 PBMC,并在 1 年的随访后提取 PBMC 中的 RNA。在创建文库后,从 PBMC 中分离出高质量的 RNA 进行测序。使用 Benjamini-Hochberg 校正识别差异表达基因(DEGs)和差异表达长非编码 RNA(DElncRNAs),并对其进行层次聚类和主成分分析(PCA)。进行组间比较(C 与 NP、C 与 SP 和 NP 与 SP),并确定 DEGs 和 DElncRNAs 的枢纽基因。使用 Metascape(v3.5.20240101)和 NCPATH 的第一版对 DEGs 和 DElncRNAs 进行功能富集分析。RNA 测序分析显示,“C 与 NP”之间有 4843 个 DEGs 和 1056 个 DElncRNAs,“C 与 SP”之间有 1651 个 DEGs 和 577 个 DElncRNAs,“NP 与 SP”之间有 954 个 DEGs 和 148 个 DElncRNAs,分别有 291 个 DEGs 和 70 个 DElncRNAs 是所有组共有的。我们从 291 个 DEGs 中确定了 14 个枢纽基因,功能富集分析表明,上调的 DEGs 主要与炎症和破骨细胞分化有关,而下调的 DEGs 与病毒感染和免疫反应有关。分析表明,291 个共同和 14 个枢纽基因与肺炎有关,这些基因可能受到携带 NFκB 结合位点的转录因子 JUN 和 NFκB1 的调控。我们还揭示了 DEG 类别中独特的免疫细胞特征,表明上调的 DEGs 与中性粒细胞和单核细胞有关,而下调的 DEGs 与 CD4 记忆效应 T 细胞有关。对 NP 和 SP 组与 52 个提示特发性肺纤维化(IPF)风险的基因特征进行的比较转录组分析显示,SP 组的 IPF 风险低于 NP 患者。我们的研究结果表明,COVID-19 可能通过调节各种 DEGs、DeLncRNAs 和枢纽基因的表达,在细胞水平上导致长期的病理变化。