Singh Urminder, Hernandez Kyle M, Aronow Bruce J, Wurtele Eve Syrkin
Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA, 50011, USA.
Center for Metabolic Biology, Iowa State University, Ames, IA, 50011, USA.
Sci Rep. 2021 May 10;11(1):9905. doi: 10.1038/s41598-021-89224-1.
The COVID-19 pandemic has affected African American populations disproportionately with respect to prevalence, and mortality. Expression profiles represent snapshots of combined genetic, socio-environmental (including socioeconomic and environmental factors), and physiological effects on the molecular phenotype. As such, they have potential to improve biological understanding of differences among populations, and provide therapeutic biomarkers and environmental mitigation strategies. Here, we undertook a large-scale assessment of patterns of gene expression between African Americans and European Americans, mining RNA-Seq data from 25 non-diseased and diseased (tumor) tissue-types. We observed the widespread enrichment of pathways implicated in COVID-19 and integral to inflammation and reactive oxygen stress. Chemokine CCL3L3 expression is up-regulated in African Americans. GSTM1, encoding a glutathione S-transferase that metabolizes reactive oxygen species and xenobiotics, is upregulated. The little-studied F8A2 gene is up to 40-fold more highly expressed in African Americans; F8A2 encodes HAP40 protein, which mediates endosome movement, potentially altering the cellular response to SARS-CoV-2. African American expression signatures, superimposed on single cell-RNA reference data, reveal increased number or activity of esophageal glandular cells and lung ACE2-positive basal keratinocytes. Our findings establish basal prognostic signatures that can be used to refine approaches to minimize risk of severe infection and improve precision treatment of COVID-19 for African Americans. To enable dissection of causes of divergent molecular phenotypes, we advocate routine inclusion of metadata on genomic and socio-environmental factors for human RNA-sequencing studies.
新冠疫情在患病率和死亡率方面对非裔美国人造成了不成比例的影响。表达谱代表了基因、社会环境(包括社会经济和环境因素)以及生理因素对分子表型综合作用的快照。因此,它们有潜力增进我们对不同人群差异的生物学理解,并提供治疗生物标志物和环境缓解策略。在此,我们对非裔美国人和欧裔美国人之间的基因表达模式进行了大规模评估,挖掘了来自25种非疾病和疾病(肿瘤)组织类型的RNA测序数据。我们观察到与新冠疫情相关且对炎症和活性氧应激至关重要的通路广泛富集。趋化因子CCL3L3在非裔美国人中表达上调。编码代谢活性氧和外源性物质的谷胱甘肽S-转移酶的GSTM1也上调。研究较少的F8A2基因在非裔美国人中的表达高达40倍之多;F8A2编码HAP40蛋白,该蛋白介导内体运动,可能改变细胞对新冠病毒2的反应。将非裔美国人的表达特征叠加到单细胞RNA参考数据上,发现食管腺细胞和肺ACE2阳性基底角质形成细胞的数量或活性增加。我们的研究结果建立了基础预后特征,可用于优化方法,以尽量降低严重感染风险,并改善对非裔美国人新冠疫情的精准治疗。为了能够剖析分子表型差异的原因,我们提倡在人类RNA测序研究中常规纳入基因组和社会环境因素的元数据。