Evidence map›Paper›PMID 34027094›Full record

ArticleBioengineering & translational medicine2021

A method to improve quantitative radiotracing-based analysis of the in vivo biodistribution of drug carriers.

Nikša Roki, Melani Solomon, Lou Casta, Jessica Bowers, Robert C Getts, Silvia Muro

Open access · goldAbstract read
In one paragraph

Article in Bioengineering & translational medicine, 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
0.6field-weighted citation impact, top 29% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Altered blood-brain barrier transport of nanotherapeutics in lysosomal storage diseases.Journal of controlled release : official journal of the Controlled Release Society · 2022
    Article
  3. Article
  4. 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 at 3 institutions in 3 countries.

Nikša RokiFischell Department of Bioengineering University of Maryland College Park Maryland USA.
Melani SolomonInstitute for Bioscience and Biotechnology Research, University of Maryland College Park Maryland USA.
Lou CastaGenisphere, LLC Hatfield Pennsylvania USA.
Jessica BowersGenisphere, LLC Hatfield Pennsylvania USA.
Robert C GettsGenisphere, LLC Hatfield Pennsylvania USA.
Silvia MuroInstitute for Bioscience and Biotechnology Research, University of Maryland College Park Maryland USA.ORCID https://orcid.org/0000-0003-1900-352X
Emisphere Technologies (United States) · USResearch Institute for Bioscience and Biotechnology · NPInstitució Catalana de Recerca i Estudis Avançats · ES

Funding

Targeted replacement of defective lysosomal enzymes in the lung and brainR01HL098416 · NHLBI · UNIV OF MARYLAND, COLLEGE PARK · PI MURO, SILVIA · 2010 to 2020
$3.3M
NHLBI NIH HHS R01 HL098416
6 · The paper itself

Abstract

Biodistribution studies are essential in drug carrier design and translation, and radiotracing provides a sensitive quantitation for this purpose. Yet, for biodegradable formulations, small amounts of free-label signal may arise prior to or immediately after injection in animal models, causing potentially confounding biodistribution results. In this study, we refined a method to overcome this obstacle. First, we verified free signal generation in animal samples and then, mimicking it in a controllable setting, we injected mice intravenously with a radiolabeled drug carrier formulation (

Indexed as

biodistribution data correctiondegradationdrug delivery carriersfree labelin vivo biodistributionradiotracingtrichloroacetic acid precipitation

Identifiers

PMID34027094
PMCPMC8126812
OpenAlexW3111253339

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.