Multi-omics analysis of magnetically levitated plasma biomolecules

被引:7
作者
Ashkarran, Ali Akbar [1 ,2 ]
Gharibi, Hassan [3 ]
Abou Zeki, Dalia [4 ]
Radu, Irina [4 ]
Khalighinejad, Farnaz [4 ]
Keyhanian, Kiandokht [5 ]
Abrahamsson, Christoffer K. [6 ]
Ionete, Carolina [4 ]
Saei, Amir Ata [3 ]
Mahmoudi, Morteza [1 ,2 ]
机构
[1] Michigan State Univ, Dept Radiol, E Lansing, MI 48824 USA
[2] Michigan State Univ, Precis Hlth Program, E Lansing, MI 48824 USA
[3] Karolinska Inst, Dept Med Biochem & Biophys, Div Physiol Chem 1, SE-17177 Stockholm, Sweden
[4] Univ Massachusetts, Dept Neurol, Worcester, MA 01003 USA
[5] Beth Israel Deaconess Med Ctr, Dept Neurol, Boston, MA 02215 USA
[6] Harvard Univ, Dept Chem & Chem Biol, Cambridge, MA 02138 USA
基金
瑞典研究理事会;
关键词
Plasma biomolecules; Magnetic levitation; Multiple sclerosis; Proteomics Lipidomics Metabolomics; SCLEROSIS; METABOLOMICS; BIOMARKERS; PROTEOMICS; EFFICACY; LIPIDS; CELLS;
D O I
10.1016/j.bios.2022.114862
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
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.
引用
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页数:10
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