Zhang Zhengjun
Department of Statistics, School of Computer, Data & Information Sciences, University of Wisconsin, Madison, WI 53706, USA.
Vaccines (Basel). 2022 Oct 2;10(10):1657. doi: 10.3390/vaccines10101657.
Genes functionally associated with SARS-CoV-2 infection and genes functionally related to the COVID-19 disease can be different, whose distinction will become the first essential step for successfully fighting against the COVID-19 pandemic. Unfortunately, this first step has not been completed in all biological and medical research. Using a newly developed max-competing logistic classifier, two genes, ATP6V1B2 and IFI27, stand out to be critical in the transcriptional response to SARS-CoV-2 infection with differential expressions derived from NP/OP swab PCR. This finding is evidenced by combining these two genes with another gene in predicting disease status to achieve better-indicating accuracy than existing classifiers with the same number of genes. In addition, combining these two genes with three other genes to form a five-gene classifier outperforms existing classifiers with ten or more genes. These two genes can be critical in fighting against the COVID-19 pandemic as a new focus and direction with their exceptional predicting accuracy. Comparing the functional effects of these genes with a five-gene classifier with 100% accuracy identified and tested from blood samples in our earlier work, the genes and their transcriptional response and functional effects on SARS-CoV-2 infection, and the genes and their functional signature patterns on COVID-19 antibodies, are significantly different. We will use a total of fourteen cohort studies (including breakthrough infections and omicron variants) with 1481 samples to justify our results. Such significant findings can help explore the causal and pathological links between SARS-CoV-2 infection and the COVID-19 disease, and fight against the disease with more targeted genes, vaccines, antiviral drugs, and therapies.
与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染功能相关的基因和与冠状病毒病(COVID-19)疾病功能相关的基因可能不同,其区分将成为成功抗击COVID-19大流行的首要关键步骤。不幸的是,在所有生物学和医学研究中,这第一步尚未完成。使用新开发的最大竞争逻辑分类器,两个基因,即ATP6V1B2和IFI27,在对SARS-CoV-2感染的转录反应中表现突出,通过鼻拭子/口咽拭子聚合酶链反应(NP/OP swab PCR)得出差异表达。通过将这两个基因与另一个基因结合来预测疾病状态,从而获得比具有相同数量基因的现有分类器更高的指示准确性,证明了这一发现。此外,将这两个基因与其他三个基因组合形成一个五基因分类器,其性能优于具有十个或更多基因的现有分类器。这两个基因凭借其卓越的预测准确性,作为一个新的重点和方向,在抗击COVID-19大流行中可能至关重要。将这些基因的功能效应与我们早期工作中从血液样本中鉴定和测试的具有100%准确性的五基因分类器进行比较,这些基因及其对SARS-CoV-2感染的转录反应和功能效应,以及这些基因及其在COVID-19抗体上的功能特征模式,存在显著差异。我们将总共使用14项队列研究(包括突破性感染和奥密克戎变种)及1481个样本以验证我们的结果。这些重要发现有助于探索SARS-CoV-2感染与COVID-19疾病之间的因果和病理联系,并利用更具针对性的基因、疫苗、抗病毒药物和疗法来对抗该疾病。