Evidence map›Paper›PMID 34671921›Full record

ArticlePharmaceutical research2021

Novel Quantification of Extracellular Vesicles with Unaltered Surface Membranes Using an Internalized Oligonucleotide Tracer and Applied Pharmacokinetic Multiple Compartment Modeling.

Thomas De Luca, Robert E Stratford, Madison E Edwards, Christina R Ferreira, Eric A Benson

Abstract read
In one paragraph

Article in Pharmaceutical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Milk exosomes in nutrition and drug delivery.American journal of physiology. Cell physiology · 2022
    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.

Thomas De LucaDivision of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA.
Robert E StratfordDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA.
Madison E EdwardsDepartment of Chemistry, Purdue University, West Lafayette, Indiana, 47907, USA.
Christina R FerreiraDepartment of Chemistry, Purdue University, West Lafayette, Indiana, 47907, USA.
Eric A BensonDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA. eabenson@iu.edu.ORCID http://orcid.org/0000-0002-3111-9464

Funding

Exosome kinetics in vivo: cell type and drug specific effectsK08GM119006 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI BENSON, ERIC · 2016 to 2020
$724k
NIGMS NIH HHS K08 GM119006NIGMS NIH HHS K08GM119006
6 · The paper itself

Abstract

purposeWe developed an accessible method for labeling small extracellular vesicles (sEVs) without disrupting endogenous ligands. Using labeled sEVs administered to conscious rats, we developed a multiple compartment pharmacokinetic model to identify potential differences in the disposition of sEVs from three different cell types.

methodsCrude sEVs were labeled with a non-homologous oligonucleotide and isolated from cell culture media using a commercial reagent. Jugular vein catheters were used to introduce EVs to conscious rats (n = 30) and to collect blood samples. Digital PCR was leveraged to allow for quantification over a wide dynamic range. Non-linear mixed effects analysis with first order conditional estimation - extended least squares (FOCE ELS) was used to estimate population-level parameters with associated intra-animal variability.

results86.5% ± 1.5% (mean ± S.E.) of EV particles were in the 45-195 nm size range and demonstrated protein and lipid markers of endosomal origin. Incorporated oligonucleotide was stable in blood and detectable over five half-lives. Data were best described by a three-compartment model with one elimination from the central compartment. We performed an observation-based simulated posterior predictive evaluation with prediction-corrected visual predictive check. Covariate and bootstrap analyses identified cell type having an influence on peripheral volumes (V2 and V3) and clearance (Cl3).

conclusionsOur method relies upon established laboratory techniques, can be tailored to a variety of biological questions regarding the pharmacokinetic disposition of extracellular vesicles, and will provide a complementary approach for the of study EV ligand-receptor interactions in the context of EV uptake and targeted therapeutics.

Indexed as

AnimalsBase SequenceBiological TransportCaenorhabditis elegansExtracellular VesiclesHumansLigandsLipidsMaleMicroRNAsModels, BiologicalNanoparticlesOligonucleotidesRatsRats, Sprague-DawleySingle Molecule ImagingLigandsLipidsMicroRNAsOligonucleotidesdroplet digital PCR (ddPCR)exosomesextracellular vesiclespharmacokineticstracer miRNA

Identifiers

PMID34671921
PMCPMC8602176

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Registered trials

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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.