SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 Outcome

Since no definitive cure for COVID-19 is available so far, one of the challenges against the disease is understanding the clinical features and the laboratory inflammatory markers that can differentiate among different severity grades of the disease. The aim of the present study is a comprehensive a...

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Main Authors: Emanuela Galliera, Luca Massaccesi, Lina Yu, Jianwen He, Marco Ranucci, Massimiliano M. Corsi Romanelli
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Biomolecules
Subjects:
Online Access:https://www.mdpi.com/2218-273X/12/6/826
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author Emanuela Galliera
Luca Massaccesi
Lina Yu
Jianwen He
Marco Ranucci
Massimiliano M. Corsi Romanelli
author_facet Emanuela Galliera
Luca Massaccesi
Lina Yu
Jianwen He
Marco Ranucci
Massimiliano M. Corsi Romanelli
author_sort Emanuela Galliera
collection DOAJ
description Since no definitive cure for COVID-19 is available so far, one of the challenges against the disease is understanding the clinical features and the laboratory inflammatory markers that can differentiate among different severity grades of the disease. The aim of the present study is a comprehensive and longitudinal evaluation of SCD14-ST and other new inflammatory markers, as well as cytokine storm molecules and current inflammatory parameters, in order to define a panel of biomarkers that could be useful for a better prognostic prediction of COVID-19 mortality. SCD14-ST, as well as the inflammatory markers IL-6, IL-10, SuPAR and sRAGE, were measured in plasma-EDTA of ICU COVID-19 positive patients. In this longitudinal study, SCD14-ST resulted significantly higher in patients who eventually died compared to those who were discharged from the ICU. The results suggest that the new infection biomarker SCD14-ST, in addition to new generation inflammatory biomarkers, such as SuPAR, sRAGE and the cytokines IL-6 and IL-10, can be a useful prognostic tool associated with canonical inflammatory parameters, such as CRP, to predict SARS-CoV-2 outcome in ICU patients.
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spelling doaj.art-44b91c8ad2df4be581e6eca668c6cff42023-11-23T15:47:37ZengMDPI AGBiomolecules2218-273X2022-06-0112682610.3390/biom12060826SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 OutcomeEmanuela Galliera0Luca Massaccesi1Lina Yu2Jianwen He3Marco Ranucci4Massimiliano M. Corsi Romanelli5Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, ItalyDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, ItalyR&D Department, Mindray Bio-Medical Electronics Co., Ltd., Shenzhen 518057, ChinaR&D Department, Mindray Bio-Medical Electronics Co., Ltd., Shenzhen 518057, ChinaDepartment of Cardiovascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, 20097 Milan, ItalyDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, ItalySince no definitive cure for COVID-19 is available so far, one of the challenges against the disease is understanding the clinical features and the laboratory inflammatory markers that can differentiate among different severity grades of the disease. The aim of the present study is a comprehensive and longitudinal evaluation of SCD14-ST and other new inflammatory markers, as well as cytokine storm molecules and current inflammatory parameters, in order to define a panel of biomarkers that could be useful for a better prognostic prediction of COVID-19 mortality. SCD14-ST, as well as the inflammatory markers IL-6, IL-10, SuPAR and sRAGE, were measured in plasma-EDTA of ICU COVID-19 positive patients. In this longitudinal study, SCD14-ST resulted significantly higher in patients who eventually died compared to those who were discharged from the ICU. The results suggest that the new infection biomarker SCD14-ST, in addition to new generation inflammatory biomarkers, such as SuPAR, sRAGE and the cytokines IL-6 and IL-10, can be a useful prognostic tool associated with canonical inflammatory parameters, such as CRP, to predict SARS-CoV-2 outcome in ICU patients.https://www.mdpi.com/2218-273X/12/6/826SCD14-STSARS-CoV-2prediction of diseaseimmune biomarkers
spellingShingle Emanuela Galliera
Luca Massaccesi
Lina Yu
Jianwen He
Marco Ranucci
Massimiliano M. Corsi Romanelli
SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 Outcome
Biomolecules
SCD14-ST
SARS-CoV-2
prediction of disease
immune biomarkers
title SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 Outcome
title_full SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 Outcome
title_fullStr SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 Outcome
title_full_unstemmed SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 Outcome
title_short SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 Outcome
title_sort scd14 st and new generation inflammatory biomarkers in the prediction of covid 19 outcome
topic SCD14-ST
SARS-CoV-2
prediction of disease
immune biomarkers
url https://www.mdpi.com/2218-273X/12/6/826
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