Evidence map›Paper›PMID 38672781›Full record

ReviewLife (Basel, Switzerland)2024

Approaches to Characterize and Quantify Extracellular Vesicle Surface Conjugation Efficiency.

Leora Goldbloom-Helzner, Harjn Bains, Aijun Wang

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. The complicated relationship between inflammation and metabolic dysfunction.Journal of diabetes and metabolic disorders · 2025
    Review
  8. Review
  9. Article
  10. 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

3 authors.

Leora Goldbloom-HelznerCenter for Surgical Bioengineering, Department of Surgery, School of Medicine, UC Davis Health, Sacramento, CA 95817, USA.ORCID 0000-0002-7376-9705
Harjn BainsDepartment of Biomedical Engineering, UC Davis, Davis, CA 95616, USA.
Aijun WangCenter for Surgical Bioengineering, Department of Surgery, School of Medicine, UC Davis Health, Sacramento, CA 95817, USA.ORCID 0000-0002-2985-3627

Funding

PhRMA Foundation Predoctoral Fellowship in Drug Delivery
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are cell-secreted nanovesicles that play an important role in long-range cell-cell communication. Although EVs pose a promising alternative to cell-based therapy, targeted in vivo delivery still falls short. Many studies have explored the surface modification of EVs to enhance their targeting capabilities. However, to our knowledge, there are no standardized practices to confirm the successful surface modification of EVs or calculate the degree of conjugation on EV surfaces (conjugation efficiency). These pieces of information are essential in the reproducibility of targeted EV therapeutics and the determination of optimized conjugation conditions for EVs to see significant therapeutic effects in vitro and in vivo. This review will discuss the vast array of techniques adopted, technologies developed, and efficiency definitions made by studies that have calculated EV/nanoparticle surface conjugation efficiency and how differences between studies may contribute to differently reported conjugation efficiencies.

Indexed as

bulk analysis technologiesconjugation efficiencyextracellular vesiclesnanotherapeuticsingle-nanovesicle analysis technologiessurface modificationtargeted therapy

Identifiers

PMID38672781
PMCPMC11051464

What OpenQuestion holds

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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.