Evidence map›Paper›PMID 40331617›Full record

ArticleSe pu = Chinese journal of chromatography2025

[Enriching plasma exosomes for proteomic analysis using a phosphatidylserine-imprinted polymer].

Xian-Hui Cheng, Wen-Jing Yu, Dong-Xue Wang, Li-Yan Jiang, Liang-Hai Hu

Abstract readEnglish Abstract
In one paragraph

Article in Se pu = Chinese journal of chromatography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. [Molecular imprinting strategies and advances targeting biomembranes].Se pu = Chinese journal of chromatography · 2026
    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

5 authors.

Xian-Hui ChengSchool of Life Sciences, Jilin University, Changchun 130023, China.
Wen-Jing YuSchool of Life Sciences, Jilin University, Changchun 130023, China.
Dong-Xue WangThe π-HuB Project Infrastructure, International Academy of Phronesis Medicine, Guangzhou 510000, China.
Li-Yan JiangSchool of Life Sciences, Jilin University, Changchun 130023, China.
Liang-Hai HuSchool of Life Sciences, Jilin University, Changchun 130023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are 40-160 nm vesicular nano-bodies secreted by most cells that carry large amounts of biologically active substances originating from the parent cell. Proteins in exosomes are protected by phospholipid bilayer membranes that protect them from degradation by enzymes within body fluids. Along with nucleic acid, proteins and metabolites, exosomes are biomolecules that are considered to be among the most important for discovering tumor markers. Plasma is among the most commonly used body fluids in clinical settings; it is highly complex and contains many proteins and metabolites that interfere with exosome isolation. Consequently, the development of methods for effectively isolating exosomes is a key challenge prior to their use in clinical research. In this study, we used a phosphatidylserine molecularly imprinted polymer (PS-MIP) to enrich plasma exosomes. Subsequent immunoblotting analyses for the CD9, TSG101, and CD81 exosome marker proteins showed that signals can be detected using only 5 μL of plasma, thereby demonstrating the efficiency and specificity of the enrichment protocol. Transmission electron microscope (TEM) and nanoparticle tracking analysis (NTA) data revealed that the enriched vesicles are 30-100 nm in size with elliptical or cup-shaped structures, consistent with the morphology and particle-size-distribution characteristics of the exosomes, suggesting that PS-MIP is capable of successfully isolating exosomes. Nanoflow cytometry revealed that 75.4% of the multi-angle laser scattering (MALS) signal is derived from the PS-MIP-enriched exosomes, which indicates that these enriched exosomes are highly pure and free of interference from impurities, such as aggregated protein particles that are similar in size to the exosomes themselves. This method was used to analyze the proteomes and potential exosomal protein markers of clinical plasma samples from three pancreatic-cancer patients and three healthy volunteers. A total of 1052 proteins and 4545 peptides were identified in the plasma exosomes of healthy volunteers, with a total of 972 proteins and 4096 peptides identified in the plasma exosomes of the pancreatic-cancer patients. Further bioinformatics analyses revealed that the Vesiclepedia database covered 84% of the proteins identified in the plasma exosomes isolated using the PS-MIP method; these proteins comprise 77 of the 100 most frequently identified exosomal proteins in the ExoCarta database. The identified proteins from the cellular components were subjected to gene ontology (GO) analysis, which revealed that they are mainly derived from the exosomes, thereby demonstrating the high selectivity of the PS-MIP method for enriching plasma exosomes and providing specificity for subsequent tumor-marker screening. Label-free quantitative analysis showed that 11 proteins were upregulated and 24 proteins were downregulated in the plasma exosomes of patients with pancreatic cancer compared to those of healthy volunteers. The highly expressed and lowly expressed proteins in the plasma exosomes of patients with pancreatic cancer were subjected to GO, which showed that highly expressed proteins related to the positive regulation of metabolic and biological processes were found in the plasma exosomes of patients with pancreatic cancer compared to those of healthy volunteers, whereas the most significantly under-expressed proteins are related immune-system processes, followed by stimulus-responsive, multicellular bioprocesses, bioregulatory, and interspecies-interacting biological-process-related proteins. The top three proteins, which are relatively highly correlated through protein-protein interaction networks (PPI) analysis, were determined to be complement factor D (CFD), complement component 3 (C3), and von Willebrand factor (VWF). Among the upregulated proteins in the exosomes of patients with pancreatic cancer, exostosin-like glycosyltransferase 2 (EXTL2),

Indexed as

ExosomesMolecular ImprintingPhosphatidylserinesPolymersProteomicsHumansPhosphatidylserinesPolymersexosomeliquid chromatography-tandem mass spectrometry (LC-MS/MS)molecular imprintingpancreatic cancerphospholipidsplasmaproteomics

Identifiers

PMID40331617
PMCPMC12059983

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.