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Role of Polypeptide Inflammatory Biomarkers in the Diagnosis and Monitoring of COVID-19.
Sen, Aparajita; Nigam, Arti; Vachher, Meenakshi.
  • Sen A; Department of Genetics, University of Delhi South Campus, New Delhi, 110021 India.
  • Nigam A; Department of Microbiology, Institute of Home Economics, University of Delhi, New Delhi, 110016 India.
  • Vachher M; Department of Biochemistry, Institute of Home Economics, University of Delhi, F-4 Hauz Khas Enclave, New Delhi, 110016 India.
Int J Pept Res Ther ; 28(2): 59, 2022.
Article in English | MEDLINE | ID: covidwho-1650638
ABSTRACT
The COVID-19 (coronavirus disease 2019) pandemic that took over the world in December 2019 has had everlasting devastating impacts on the lives of people globally. It manifests a huge symptom spectrum ranging from asymptomatic to critically ill patients with an unpredictable outcome. Timely diagnosis and assessment of disease severity is imperative for effective treatment. Possibilities exist that by the time symptoms appear the viral load might increase beyond control. However, it is advisable to get adequately diagnosed as soon as the first symptom appears. There is an immediate requirement of reliable biomarkers of COVID-19 manifesting an early onset for effective clinical management, stratification of high risk patients and ensuring ideal resource allocation. In this review, we attempt to explore and describe important polypeptide inflammatory biomarkers, namely C-reactive protein, Procalcitonin, Ferritin, Lactate Dehydrogenase, Serum amyloid A, Interleukin-6, Tumor necrosis factor-alpha and LIGHT used in the detection and management of COVID-19. Viral pathogenesis and the role of these inflammatory biomarkers is highlighted, based on the evidences available till date. An integrative data monitoring along with their correlation with the natural disease progression is of utmost importance in the management of COVID-19. So further research and in-depth analysis of these biomarkers is warranted in the present scenario.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Int J Pept Res Ther Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Int J Pept Res Ther Year: 2022 Document Type: Article