Evidence map›Paper›PMID 36403493›Full record

ArticleBiosensors & bioelectronics2023

Multi-omics analysis of magnetically levitated plasma biomolecules.

Ali Akbar Ashkarran, Hassan Gharibi, Dalia Abou Zeki, Irina Radu, Farnaz Khalighinejad, Kiandokht Keyhanian, Christoffer K Abrahamsson, Carolina Ionete, Amir Ata Saei, Morteza Mahmoudi

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  5. What's in a name? Metabolite identification: challenges and pitfalls in untargeted metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Ali Akbar AshkarranDepartment of Radiology and Precision Health Program, Michigan State University, East Lansing, MI, USA.
Hassan GharibiDivision of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17 177, Stockholm, Sweden.
Dalia Abou ZekiDepartment of Neurology, University of Massachusetts, Worcester, MA, USA.
Irina RaduDepartment of Neurology, University of Massachusetts, Worcester, MA, USA.
Farnaz KhalighinejadDepartment of Neurology, University of Massachusetts, Worcester, MA, USA.
Kiandokht KeyhanianDepartment of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Christoffer K AbrahamssonDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Carolina IoneteDepartment of Neurology, University of Massachusetts, Worcester, MA, USA. Electronic address: Carolina.Ionete@umassmemorial.org.
Amir Ata SaeiDivision of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17 177, Stockholm, Sweden. Electronic address: Amirata.saei.dibavar@ki.se.
Morteza MahmoudiDepartment of Radiology and Precision Health Program, Michigan State University, East Lansing, MI, USA. Electronic address: mahmou22@msu.edu.
University of Massachusetts Chan Medical School · USKarolinska Institutet · SEMichigan State University · USBeth Israel Deaconess Medical Center · USHarvard University · US

Funding

A Nanostructured Skin Patch to Heal Chronic WoundsR01DK131417 · NIDDK · MICHIGAN STATE UNIVERSITY · PI Morteza Mahmoudi · 2022 to 2026
$2.0M
NIDDK NIH HHS R01 DK131417
6 · The paper itself

Abstract

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.

Indexed as

Biomedical ResearchBiosensing TechniquesMultiple SclerosisHumansMetabolomePlasmaLipidomicsMagnetic levitationMetabolomicsMultiple sclerosisPlasma biomoleculesProteomics

Identifiers

PMID36403493
PMCPMC9750732
OpenAlexW4308490480

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.