Smoking is associated with increased eryptosis, suicidal erythrocyte death, in a large population-based cohort.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
06 Feb 2024
Historique:
received: 31 10 2023
accepted: 30 01 2024
medline: 7 2 2024
pubmed: 7 2 2024
entrez: 6 2 2024
Statut: epublish

Résumé

Smoking has multiple detrimental effects on health, and is a major preventable cause of premature death and chronic disease. Despite the well-described effect of inhaled substances from tobacco smoke on cell toxicity, the association between smoking and suicidal erythrocyte death, termed eryptosis, is virtually unknown. Therefore, the blood samples of 2023 participants of the German National Cohort Study (NAKO) were analyzed using flow cytometry analysis to determine eryptosis from fluorescent annexin V-FITC-binding to phosphatidylserine-exposing erythrocytes. Blood analyses were complemented by the measurement of hematologic parameters including red blood cell count, hematocrit, hemoglobin, mean corpuscular cell volume (MCV) and mean corpuscular hemoglobin (MCH). Eryptosis was higher in smokers than in non- and ex-smokers, and positively associated with the number of cigarettes smoked daily (r = 0.08, 95% CI [0.03, 0.12]). Interestingly, despite increased eryptosis, smokers had higher red blood cell indices than non-smokers. To conclude, smokers were characterized by higher eryptosis than non-smokers, without showing any obvious detrimental effect on classic hematological parameters.

Identifiants

pubmed: 38321053
doi: 10.1038/s41598-024-53258-y
pii: 10.1038/s41598-024-53258-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3024

Subventions

Organisme : Deutsche Stiftung für Herzforschung
ID : F04/18

Informations de copyright

© 2024. The Author(s).

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Auteurs

Marvin Schmitt (M)

Cluster of Excellence SimTech, University of Stuttgart, Stuttgart, Germany.

Franz Ewendt (F)

Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

Alexander Kluttig (A)

Institute of Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

Rafael Mikolajczyk (R)

Institute of Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

F Bernhard Kraus (FB)

Central Laboratory, Department for Laboratory Medicine, University Hospital Halle, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany.

Wim Wätjen (W)

Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

Paul-Christian Bürkner (PC)

Cluster of Excellence SimTech, University of Stuttgart, Stuttgart, Germany.
Department of Statistics, TU Dortmund University, Dortmund, Germany.

Gabriele I Stangl (GI)

Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

Michael Föller (M)

Department of Physiology, University of Hohenheim, Garbenstraße 30, 70599, Stuttgart, Germany. michael.foeller@uni-hohenheim.de.

Classifications MeSH