Department of Biochemistry, Indian Institute of Science, Bangalore, 560012, India.
Department of Respiratory Medicine, M.S. Ramaiah Medical College Hospital, Bangalore, India.
Mol Omics. 2022 Sep 26;18(8):814-820. doi: 10.1039/d2mo00100d.
Confirmatory diagnosis of bacterial coinfections with COVID-19 is challenging due to the limited specificity of the widely used gold-standard culture sensitivity test despite clinical presentations. A misdiagnosis can either lead to increased health complications or overuse of antibiotics in COVID-19 patients. With a multi-step systems biology pipeline, we have identified a 9-gene biomarker panel from host blood that can identify bacterial coinfection in COVID-19 patients, even in culture-negative cases. We have also formulated a qPCR-based score that diagnoses bacterial coinfection with COVID-19 with the accuracy, specificity, and sensitivity of 0.93, 0.96, and 0.89, respectively. This gene signature and score can assist in the clinical decision-making process of necessary and timely prescription of antibiotics in suspected bacterial coinfection cases with COVID-19 and thereby help to reduce the associated morbidity and mortality.
由于广泛使用的黄金标准培养敏感性测试的特异性有限,即使有临床表现,COVID-19 伴发细菌感染的确诊也具有挑战性。误诊可能导致 COVID-19 患者的健康并发症增加或抗生素过度使用。通过多步骤系统生物学管道,我们从宿主血液中确定了 9 个基因生物标志物,可以识别 COVID-19 患者中的细菌合并感染,甚至在培养阴性的情况下也可以识别。我们还制定了一种基于 qPCR 的评分,用于诊断 COVID-19 伴发细菌感染的准确率、特异性和敏感性分别为 0.93、0.96 和 0.89。该基因特征和评分可辅助临床决策过程,在疑似 COVID-19 伴发细菌感染的病例中,及时开具抗生素处方,从而有助于降低相关发病率和死亡率。