Evidence map›Paper›PMID 34855021›Full record

ReviewNano-micro letters2021

Multiplexed Profiling of Extracellular Vesicles for Biomarker Development.

Cheng Jiang, Ying Fu, Guozhen Liu, Bowen Shu, Jason Davis, George K Tofaris

Abstract readReview
In one paragraph

Review in Nano-micro letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. microRNA-7-5p and α-Synuclein SAA Predict Parkinson's Disease Phenoconversion.Annals of clinical and translational neurology · 2026
    Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. 80 years of extracellular vesicles: from discovery to clinical translation.Extracellular vesicles and circulating nucleic acids · 2026
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Harnessing artificial intelligence for engineering extracellular vesicles.Extracellular vesicles and circulating nucleic acids · 2025
    Review
  20. Article
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

6 authors.

Cheng JiangNuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, Oxford, OX1 3QU, UK. cheng.jiang@ndcn.ox.ac.uk.
Ying FuDepartment of Chemistry, University of Oxford, Oxford, OX1 3QZ, UK.
Guozhen LiuSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, 518172, People's Republic of China.
Bowen ShuDermatology Hospital, Southern Medical University, Guangzhou, 510091, People's Republic of China.
Jason DavisDepartment of Chemistry, University of Oxford, Oxford, OX1 3QZ, UK. jason.davis@chem.ox.ac.uk.
George K TofarisNuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, Oxford, OX1 3QU, UK. george.tofaris@ndcn.ox.ac.uk.

Funding

Medical Research Council MR/V007068/1NIMHD NIH HHS L32 MD000470
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are cell-derived membranous particles that play a crucial role in molecular trafficking, intercellular transport and the egress of unwanted proteins. They have been implicated in many diseases including cancer and neurodegeneration. EVs are detected in all bodily fluids, and their protein and nucleic acid content offers a means of assessing the status of the cells from which they originated. As such, they provide opportunities in biomarker discovery for diagnosis, prognosis or the stratification of diseases as well as an objective monitoring of therapies. The simultaneous assaying of multiple EV-derived markers will be required for an impactful practical application, and multiplexing platforms have evolved with the potential to achieve this. Herein, we provide a comprehensive overview of the currently available multiplexing platforms for EV analysis, with a primary focus on miniaturized and integrated devices that offer potential step changes in analytical power, throughput and consistency.

Indexed as

BiomarkerExosomesExtracellular vesiclesLiquid biopsyMultiplexed profilingPoint-of-care

Identifiers

PMID34855021
PMCPMC8638654

What OpenQuestion holds

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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.