mohammad reza mirlashari

Dr. mohammad reza mirlashari


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 March 2024 in Biomedicines
Verified
Journal Article
Open access
PDF file
GHGeir Hetland
Geir Hetland
MFMagne Kristoffer Fagerhol
Magne Kristoffer Fagerhol
MMmohammad reza mirlashari
mohammad reza mirlashari
LNLise Sofie Nissen-Meyer
Lise Sofie Nissen-Meyer
Stefania CrociStefania Croci
Stefania Croci
PMPier Luigi Meroni
Pier Luigi Meroni
Coronavirus disease 2019 (COVID-19) displays clinical heterogeneity, but little information is available for patients with mild or very early disease. We aimed to characterize biomarkers that are useful for discriminating the hospitalization risk in a COVID-19 cohort from Northern Italy during the first pandemic wave. We enrolled and followed for four weeks 76 symptomatic SARS-CoV-2 positive patients and age/sex-matched healthy controls. Patients with mild disease were discharged (n.42), and the remaining patients were hospitalized (n.34). Blood was collected before any anti-inflammatory/immunosuppressive therapy and assessed for soluble C5b-9/C5a, H3-neutrophil extracellular traps (NETs), calprotectin, and DNase plasma levels via ELISA and a panel of proinflammatory cytokines via ELLA. Calprotectin and NET levels discriminate between hospitalized and non-hospitalized patients, while DNase negatively correlates with NET levels; there are positive correlations between calprotectin and both NET and neopterin levels. Neopterin levels increase in patients at the beginning of the disease and do so more in hospitalized than non-hospitalized patients. C5a and sC5b-9, and other acute phase proteins, correlate with neopterin, calprotectin, and DNase. Both NET and neopterin levels negatively correlate with platelet count. We show that calprotectin, NETs, and neopterin are important proinflammatory parameters potentially useful for discriminating between COVID-19 patients at risk of hospitalization.

12 March 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
GHGeir Hetland
Geir Hetland
MFMagne Kristoffer Fagerhol
Magne Kristoffer Fagerhol
MMmohammad reza mirlashari
mohammad reza mirlashari
LNLise Sofie Nissen-Meyer
Lise Sofie Nissen-Meyer
Stefania CrociStefania Croci
Stefania Croci
PMPier Luigi Meroni
Pier Luigi Meroni
Coronavirus disease 2019 (COVID-19) displays clinical heterogeneity, but little information is available for patients with mild or very early disease. We aimed to characterize biomarkers that are useful in discriminating the hospitalization risk in a COVID-19 cohort from Northern Italy during the first pandemic wave. We enrolled and followed for four weeks 76 symptomatic SARS-CoV-2 positive patients and age/sex-matched healthy controls. Patients with mild disease were discharged (n.42), and the remaining were hospitalized (n.34). Blood was collected before any anti-inflammatory/immunosuppressive therapy and assessed for soluble C5b-9/C5a, H3-neutrophil extracellular traps (NET), calprotectin, DNase plasma levels by ELISA, and a panel of pro-inflammatory cytokines by ELLA. Calprotectin and NET levels discriminate between hospitalized and non-hospitalized patients, while DNase negatively correlates with NET levels; there are positive correlations between calprotectin and both NET and neopterin levels. Neopterin levels increase in patients at the beginning of the disease and more in hospitalized than non-hospitalized ones. C5a and sC5b-9, and other acute phase proteins correlate with neopterin, calprotectin, and DNase. Both NET and neopterin levels negatively correlate with platelet count. We show that calprotectin, NET, and neopterin are important proinflammatory parameters potentially useful in discriminating between COVID-19 patients at risk for hospitalization.