Evidence map›Paper›PMID 25244215›Full record

ArticleHuman gene therapy2014

Biodistribution studies of polymeric nanoparticles for drug delivery in mice.

Maria Sofia Falzarano, Elena Bassi, Chiara Passarelli, Paola Braghetta, Alessandra Ferlini

Open access · greenAbstract read
In one paragraph

Article in Human gene therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Nanomedicine, a valuable tool for skeletal muscle disorders: Challenges, promises, and limitations.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2022
    Review
  3. Review
  4. Article
  5. 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 at 3 institutions in 1 country.

Maria Sofia Falzarano1 Department of Medical Sciences, University of Ferrara , 44121 Ferrara, Italy .
Elena Bassi
Chiara Passarelli
Paola Braghetta
Alessandra Ferlini
University of Ferrara · ITBambino Gesù Children's Hospital · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abstract Duchenne muscular dystrophy (DMD) is a severe hereditary neuromuscular disorder caused by mutations in the dystrophin gene. Antisense-mediated targeted exon skipping has been shown to restore dystrophin expression both in DMD patients and in the mdx mouse, the murine model of DMD, but the ineffective delivery of these molecules limits their therapeutic use. We demonstrated that PMMA/N-isopropil-acrylamide (ZM2) nanoparticles (NPs), administered both intraperitoneally and orally, were able to deliver 2'OMePS antisense inducing various extents of dystrophin restoration in the mdx mice. Defining NP biodistribution is crucial to improve effects on target and dose regimens; thus, we performed in vivo studies of novel ZM4 NPs. ZM4 are conjugated with NIR fluorophores as optical probes suitable for studies on the Odyssey Imaging System. Our results indicate that NPs are widely distributed in all body muscles, including skeletal muscles and heart, suggesting that these vehicles are appropriate to deliver antisense oligonucleotides for targeting striated muscles in the DMD animal model, thus opening new horizons for Duchenne therapy.

Indexed as

AnimalsGenetic TherapyHumansMice, Inbred mdxMuscular Dystrophy, DuchenneNanoparticlesOligoribonucleotides, AntisensePolymethacrylic AcidsTissue DistributionOligoribonucleotides, AntisensePolymethacrylic Acids

Identifiers

PMID25244215
PMCPMC4236061
OpenAlexW2318726290

What OpenQuestion holds

Textmetadata
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.