The Presence and Percentage of Circulating Nucleated Red Blood Cells Reveal Distinct Characteristics in Adults With Sickle Cell Disease
Year: 2026
Type: article
Study design: Observational Study
Abstract: ABSTRACT Although circulating nucleated red blood cells (cNRBCs) have previously been detected in patients with sickle cell disease (SCD), their prevalence and clinical significance during steady‐state disease have not been established. We retrospectively analyzed 270 adults with an SS or Sβ 0 ‐thalassemia genotype. cNRBCs were counted during steady‐state disease. Patients were classified as high cNRBC+ (> 3 per 100 white blood cells (WBCs)), low cNRBC+ (1–3 per 100 WBCs), or cNRBC− (no cNRBCs). cNRBC+ and cNRBC− patients were compared with regard to clinical and laboratory data and in vitro erythroid differentiation from peripheral blood CD34+ cells. cNRBCs were detected in 65.6% of the patients and encompassed all terminal erythroid stages. High cNRBC+ patients were more likely to be receiving hydroxyurea ( p = 0.024). cNRBC+ patients exhibited a lower median [IQR] hemoglobin level (8.8 [7.8–10] and 8.4 [7.4–9.4] in the high and low cNRBC+ groups, respectively vs. 9.3 [8.3–9.9] g/dL in the cNRBC− group; p = 0.024). The cNRBC+ percentage was correlated negatively with the reticulocyte and WBC counts and positively with the mean corpuscular volume and the ferritin level. Clinically, a trend toward a greater likelihood of acute chest syndrome was observed in cNRBC+ patients. High cNRBC+ patients' cells exhibited accelerated erythroid differentiation in vitro, suggestive of dyserythropoiesis. cNRBCs constitute a common, easily measurable marker of a distinct hematological phenotype in adult patients with SCD: more severe anemia and signs of dyserythropoiesis. Prospective studies are needed to determine the value of the cNRBC percentage for predicting disease severity and guiding the treatment of dyserythropoiesis.
Source: American Journal of Hematology
DOI: 10.1002/ajh.70497
Institutions: Hôpital Européen Georges-Pompidou, Institut national de recherche en sciences et technologies du numérique, Inserm, Université Paris Cité, Sorbonne Université, Centre de Recherche des Cordeliers, Heka : Méthodes basées sur les données et modèles en santé pour l'acquisition de connaissances, Centre National de la Recherche Scientifique, Aix-Marseille Université, Anthropologie Bio-Culturelle, Droit, Éthique & Santé, Hôpital Necker-Enfants Malades, Institut des Maladies Génétiques Imagine
Language: English
Subfield: Genetics (clinical)
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $5,450
OpenAlex ID: W7212142259
