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Tytuł pozycji:

Zinc protoporphyrin levels in COVID-19 are indicative of iron deficiency and potential predictor of disease severity.

Tytuł:
Zinc protoporphyrin levels in COVID-19 are indicative of iron deficiency and potential predictor of disease severity.
Autorzy:
Kilercik M; Department of Medical Biochemistry, School of Medicine, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.; Department of Medical Biochemistry, Acibadem Labmed Clinical Laboratories, Istanbul, Turkey.
Ucal Y; Department of Medical Biochemistry, School of Medicine, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.
Serdar M; Department of Medical Biochemistry, School of Medicine, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.
Serteser M; Department of Medical Biochemistry, School of Medicine, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.; Department of Medical Biochemistry, Acibadem Labmed Clinical Laboratories, Istanbul, Turkey.
Ozpinar A; Department of Medical Biochemistry, School of Medicine, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.
Schweigert FJ; Department of Physiology and Pathophysiology, Institute of Nutritional Science, University of Potsdam, Potsdam, Germany.
Źródło:
PloS one [PLoS One] 2022 Feb 03; Vol. 17 (2), pp. e0262487. Date of Electronic Publication: 2022 Feb 03 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Original Publication: San Francisco, CA : Public Library of Science
MeSH Terms:
Severity of Illness Index*
Anemia, Iron-Deficiency/*blood
Anemia, Iron-Deficiency/*complications
COVID-19/*blood
COVID-19/*complications
Protoporphyrins/*blood
SARS-CoV-2/*genetics
Adult ; Aged ; Anemia, Iron-Deficiency/epidemiology ; Biomarkers/blood ; COVID-19/epidemiology ; COVID-19/virology ; Female ; Fibrin Fibrinogen Degradation Products/analysis ; Follow-Up Studies ; Hemoglobins/analysis ; Humans ; Logistic Models ; Lymphocyte Count ; Male ; Middle Aged ; Patient Admission ; Prognosis ; Turkey/epidemiology
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Substance Nomenclature:
0 (Biomarkers)
0 (Fibrin Fibrinogen Degradation Products)
0 (Hemoglobins)
0 (Protoporphyrins)
0 (fibrin fragment D)
15442-64-5 (zinc protoporphyrin)
Entry Date(s):
Date Created: 20220203 Date Completed: 20220214 Latest Revision: 20220214
Update Code:
20240104
PubMed Central ID:
PMC8812978
DOI:
10.1371/journal.pone.0262487
PMID:
35113876
Czasopismo naukowe
Background: Coronavirus disease (COVID-19) has a severe impact on all aspects of patient care. Among the numerous biomarkers of potential validity for diagnostic and clinical management of COVID-19 are biomarkers at the interface of iron metabolism and inflammation.
Methods: The follow-up study included 54 hospitalized patients with laboratory-confirmed COVID-19 with a moderate and severe/critical form of the disease. Iron deficiency specific biomarkers such as iron, ferritin, transferrin receptor, hepcidin, and zinc protoporphyrin (ZnPP) as well as relevant markers of inflammation were evaluated twice: in the first five days when the patient was admitted to the hospital and during five to 15 days; and their validity to diagnose iron deficiency was further assessed. The regression and Receiver Operating Characteristics (ROC) analyses were performed to evaluate the prognosis and determine the probability for predicting the severity of the disease in the first five days of COVID-19.
Results: Based on hemoglobin values, anemia was observed in 21 of 54 patients. Of all iron deficiency anemia-related markers, only ZnPP was significantly elevated (P<0.001) in the anemic group. When patients were grouped according to the severity of disease, slight differences in hemoglobin or other anemia-related parameters could be observed. However, the levels of ZnPP were significantly increased in the severely ill group of patients. The ratio of ZnPP to lymphocyte count (ZnPP/L) had a discrimination power stronger than the neutrophil to lymphocyte count ratio (N/L) to determine disease severity. Additionally, only two markers were independently associated with the severity of COVID-19 in logistic regression analysis; D-dimer (OR (5.606)(95% CI 1.019-30.867)) and ZnPP/L ratio (OR (74.313) (95% CI 1.081-5108.103)).
Conclusions: For the first time ZnPP in COVID-19 patients were reported in this study. Among all iron-related markers tested, ZnPP was the only one that was associated with anemia as based on hemoglobin. The increase in ZnPP might indicate that the underlying cause of anemia in COVID-19 patients is not only due to the inflammation but also of nutritional origin. Additionally, the ZnPP/L ratio might be a valid prognostic marker for the severity of COVID-19.
Competing Interests: The authors declare no conflict of interest except FJS as shareholder of BioAnalyt GmbH, a company developing medical devices for blood analytics. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
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