Circulating biomarkers associated with pediatric sickle cell disease
These findings suggest that there are significant differences between biomarker expression among the different genotypes examined. We conclude that a predictive algorithm based on these biomarkers could be developed and validated through longitudinal assessment of within-genotype differences and correlation of the data with disease severity or outcomes. With such a tool one can enhance SCD management and improve patient outcomes. This approach may pave the way for personalized interventions and better clinical care for pediatric SCD patients.
Authors
- Wesley Solomon
- Cecilia Elorm Lekpor
- William Kwaku Agbozo (ORCID: https://orcid.org/0000-0001-6058-1976)
- Godfred Futagbi
- Ernest Alema‐Mensah (ORCID: https://orcid.org/0000-0002-2186-0232)
- Andrew A. Adjei (ORCID: https://orcid.org/0000-0001-5109-2919)
- Adel Driss
- Afua O.D. Abrahams (ORCID: https://orcid.org/0000-0003-0649-3996)
- Jonathan K. Stiles (ORCID: https://orcid.org/0000-0003-0829-1482)
- Adriana Harbuzariu (ORCID: https://orcid.org/0000-0001-6385-8811)
- Kwadwo Asamoah Kusi (ORCID: https://orcid.org/0000-0001-5483-9985)
- Alaijah Bashi
- Felix Botchway (ORCID: https://orcid.org/0009-0002-3799-2317)
Institutions
- University of Ghana (GH)
- Emory University (US)
- Accra Technical University (GH)
- Korle Bu Teaching Hospital (GH)
- Noguchi Memorial Institute for Medical Research (GH)
- Morehouse School of Medicine (US)
Publication Details
- Journal
- Frontiers in Molecular Biosciences
- Published
- 2024-12-19
- DOI
- https://doi.org/10.3389/fmolb.2024.1481441
- Citations
- 3
- Primary Topic
- Hemoglobinopathies and Related Disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- National Institute of Neurological Disorders and Stroke