Comparison between Sickle Cell Disease Patients and Healthy Donors: Untargeted Lipidomic Study of Erythrocytes

Author:

Alabed Husam B. R.1ORCID,Gorello Paolo1,Pellegrino Roberto Maria1ORCID,Lancioni Hovirag1ORCID,La Starza Roberta2ORCID,Taddei Anna Aurora1,Urbanelli Lorena1ORCID,Buratta Sandra1,Fernandez Anair Graciela Lema2ORCID,Matteucci Caterina2,Caniglia Maurizio3,Arcioni Francesco3,Mecucci Cristina2,Emiliani Carla14

Affiliation:

1. Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy

2. Hematology and Bone Marrow Transplantation Unit, Laboratory of Molecular Medicine (CREO), Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy

3. Pediatric Oncology-Hematology, Azienda Ospedaliera di Perugia, 06100 Perugia, Italy

4. Centro di Eccellenza sui Materiali Innovativi Nanostrutturati (CEMIN), University of Perugia, Via del Giochetto, 06123 Perugia, Italy

Abstract

Sickle cell disease (SCD) is one of the most common severe monogenic disorders in the world caused by a mutation on HBB gene and characterized by hemoglobin polymerization, erythrocyte rigidity, vaso-occlusion, chronic anemia, hemolysis, and vasculopathy. Recently, the scientific community has focused on the multiple genetic and clinical profiles of SCD. However, the lipid composition of sickle cells has received little attention in the literature. According to recent studies, changes in the lipid profile are strongly linked to several disorders. Therefore, the aim of this study is to dig deeper into lipidomic analysis of erythrocytes in order to highlight any variations between healthy and patient subjects. 241 lipid molecular species divided into 17 classes have been annotated and quantified. Lipidomic profiling of SCD patients showed that over 24% of total lipids were altered most of which are phospholipids. In-depth study of significant changes in lipid metabolism can give an indication of the enzymes and genes involved. In a systems biology scenario, these variations can be useful to improve the understanding of the biochemical basis of SCD and to try to make a score system that could be predictive for the severity of clinical manifestations.

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

Reference59 articles.

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