Evidence map›Paper›PMID 40594353›Full record

ArticleScientific reports2025

Glycoproteomic profiling of serum-derived small extracellular vesicles enriched via ultracentrifugation and affinity-based techniques.

Mojibola Fowowe, Cristian D Gutierrez Reyes, Judith Nwaiwu, Joy Solomon, Oluwatosin Daramola, Sherifdeen Onigbinde, Joseph Andrew Whitley, Houjian Cai, Yehia Mechref

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Exosomes in ocular graft-versus-host disease: an overview.International journal of ophthalmology · 2026
    Review
  6. Review
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

9 authors.

Mojibola FowoweDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409-1061, USA.ORCID http://orcid.org/0000-0002-9168-5396
Cristian D Gutierrez ReyesDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409-1061, USA.ORCID http://orcid.org/0000-0001-5229-4723
Judith NwaiwuDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409-1061, USA.ORCID http://orcid.org/0000-0002-7885-1345
Joy SolomonDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409-1061, USA.ORCID http://orcid.org/0009-0001-6836-8886
Oluwatosin DaramolaDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409-1061, USA.ORCID http://orcid.org/0000-0002-0394-3683
Sherifdeen OnigbindeDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409-1061, USA.ORCID http://orcid.org/0000-0001-6791-7989
Joseph Andrew WhitleyDepartment of Pharmaceutical and Biomedical Sciences, College of Pharmacy, University of Georgia, Athens, GA, 30602, USA.
Houjian CaiDepartment of Pharmaceutical and Biomedical Sciences, College of Pharmacy, University of Georgia, Athens, GA, 30602, USA.
Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409-1061, USA. yehia.mechref@ttu.edu.ORCID http://orcid.org/0000-0002-6661-6073

Funding

Sensitive and Quantitative MS-bases Glycomic Mapping PlatformR01GM112490 · NIGMS · TEXAS TECH UNIVERSITY · PI MECHREF, YEHIA · 2014 to 2024
$3.2M
Quantitative Characterization of Glycopeptide IsomersR01GM130091 · NIGMS · TEXAS TECH UNIVERSITY · PI Yehia Mechref · 2019 to 2026
$2.5M
Screening of Glycan Markers in Serum for Early Detection of HCC in Different Etiologies of DiseaseU01CA225753 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M., MECHREF, YEHIA · 2018 to 2021
$2.0M
CH Foundation No NumberNCI NIH HHS 1U01CA225753NCI NIH HHS U01 CA225753NIGMS NIH HHS 1R01GM130091-06NIGMS NIH HHS R01 GM112490NIGMS NIH HHS R01 GM130091Welch Foundation D-0005
6 · The paper itself

Abstract

Small extracellular vesicles (sEVs) are gaining recognition as potential biomarkers for diseases, including cancer, due to their involvement in key pathophysiological processes. However, the glycosylation of EVs and the specific roles of their glycans remain poorly understood. While several methods exist for isolating sEVs from complex biological samples, achieving sufficient purity and quantity for mass spectrometry-based glycoproteomic analysis remains a significant challenge. In this study, we compared two commonly used isolation methods, ultracentrifugation (UC) and immunoaffinity capture (MagCapture kit), across different starting volumes of human serum (200 µL and 500 µL) to evaluate their performance for downstream glycoproteomic analysis. While prior studies have examined protein content across isolation methods, our work uniquely investigates how isolation technique and sample volume affect glycoproteomic yield and quality. We show that UC, particularly at higher sample volumes, enables deeper glycoproteomic coverage, whereas MagCapture is advantageous when serum availability is limited. Notably, we report for the first time site-specific glycan microheterogeneity on sEV glycoproteins derived from human serum, including multiple glycoforms at the same glycosylation site. These findings highlight the complexity and biological relevance of glycosylation in sEV proteins and offer practical guidance for optimizing isolation protocols based on specific omics applications.

Indexed as

Extracellular VesiclesGlycoproteinsProteomeProteomicsUltracentrifugationGlycosylationHumansGlycoproteinsProteomeEVsGlycoproteomicsImmunoaffinity captureProteomicsSmall extracellular vesiclesUltracentrifugation

Identifiers

PMID40594353
PMCPMC12218995

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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.