Multi-omics analysis of magnetically levitated plasma biomolecules

• Published in: Biosensors & bioelectronics 2023-01, Vol.220, p.114862-114862, Article 114862
• Main Authors: Ashkarran, Ali Akbar, Gharibi, Hassan, Zeki, Dalia Abou, Radu, Irina, Khalighinejad, Farnaz, Keyhanian, Kiandokht, Abrahamsson, Christoffer K., Ionete, Carolina, Saei, Amir Ata, Mahmoudi, Morteza
• Format: Article
• Language: English
• Subjects: Biomedical Research; Biosensing Techniques; Humans; Lipidomics; Magnetic levitation; Medicin och hälsovetenskap; Metabolome; Metabolomics; Multiple Sclerosis; Plasma; Plasma biomolecules; Proteomics
• ISSN: 0956-5663; 1873-4235; 1873-4235
• DOI: 10.1016/j.bios.2022.114862

We recently discovered that superparamagnetic iron oxide nanoparticles (SPIONs) can levitate plasma biomolecules in the magnetic levitation (MagLev) system and cause formation of ellipsoidal biomolecular bands. To better understand the composition of the levitated biomolecules in various bands, we comprehensively characterized them by multi-omics analyses. To probe whether the biomolecular composition of the levitated ellipsoidal bands correlates with the health of plasma donors, we used plasma from individuals who had various types of multiple sclerosis (MS), as a model disease with significant clinical importance. Our findings reveal that, while the composition of proteins does not show much variability, there are significant differences in the lipidome and metabolome profiles of each magnetically levitated ellipsoidal band. By comparing the lipidome and metabolome compositions of various plasma samples, we found that the levitated biomolecular ellipsoidal bands do contain information on the health status of the plasma donors. More specifically, we demonstrate that there are particular lipids and metabolites in various layers of each specific plasma pattern that significantly contribute to the discrimination of different MS subtypes, i.e., relapsing-remitting MS (RRMS), secondary-progressive MS (SPMS), and primary-progressive MS (PPMS). These findings will pave the way for utilization of MagLev of biomolecules in biomarker discovery for identification of diseases and discrimination of their subtypes. Multi omics (i.e., proteomics, lipidomics, and metabolomics) analysis of magnetically levitated multiple sclerosis (MS) patients’ plasma biomolecules reveals the critical role of lipids and metabolites that significantly contribute to the discrimination of different types of MS. [Display omitted]