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A 9-gene biomarker panel identifies bacterial coinfections in culture-negative COVID-19 cases.
Banerjee, Ushashi; Rao, Pragati; Reddy, Megha; Hussain, Meeran; Chunchanur, Sneha; Ambica, R; Singh, Amit; Chandra, Nagasuma.
  • Banerjee U; Department of Biochemistry, Indian Institute of Science, Bangalore, 560012, India. nchandra@iisc.ac.in.
  • Rao P; Department of Respiratory Medicine, M.S. Ramaiah Medical College Hospital, Bangalore, India.
  • Reddy M; Department of General Medicine, M.S. Ramaiah Medical College Hospital, Bangalore, India.
  • Hussain M; Department of Biochemistry, Indian Institute of Science, Bangalore, 560012, India. nchandra@iisc.ac.in.
  • Chunchanur S; Bangalore Medical College and Research Institute (BMCRI), Bangalore, India.
  • Ambica R; Bangalore Medical College and Research Institute (BMCRI), Bangalore, India.
  • Singh A; Center for Infectious Disease Research, Indian Institute of Science, Bangalore, India.
  • Chandra N; Department of Biochemistry, Indian Institute of Science, Bangalore, 560012, India. nchandra@iisc.ac.in.
Mol Omics ; 18(8): 814-820, 2022 09 26.
Article in English | MEDLINE | ID: covidwho-1991689
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coinfection / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Mol Omics Year: 2022 Document Type: Article Affiliation country: D2mo00100d

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coinfection / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Mol Omics Year: 2022 Document Type: Article Affiliation country: D2mo00100d