Evidence map›Paper›PMID 34064206›Full record

ArticlePharmaceutics2021

α-Galactosidase A Augmentation by Non-Viral Gene Therapy: Evaluation in Fabry Disease Mice.

Julen Rodríguez-Castejón, Ana Alarcia-Lacalle, Itziar Gómez-Aguado, Mónica Vicente-Pascual, María Ángeles Solinís Aspiazu, Ana Del Pozo-Rodríguez, Alicia Rodríguez-Gascón

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. The kidney in genetic metabolic disorders.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Gene Therapy of Sphingolipid Metabolic Disorders.International journal of molecular sciences · 2023
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. 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

7 authors at 1 institution in 1 country.

Julen Rodríguez-CastejónPharmacokinetic, Nanotechnology and Gene Therapy Group (Pharma Nano Gene), Centro de Investigación Lascaray Ikergunea, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0002-8999-1589
Ana Alarcia-LacallePharmacokinetic, Nanotechnology and Gene Therapy Group (Pharma Nano Gene), Centro de Investigación Lascaray Ikergunea, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0003-2970-7766
Itziar Gómez-AguadoPharmacokinetic, Nanotechnology and Gene Therapy Group (Pharma Nano Gene), Centro de Investigación Lascaray Ikergunea, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0003-4189-5085
Mónica Vicente-PascualPharmacokinetic, Nanotechnology and Gene Therapy Group (Pharma Nano Gene), Centro de Investigación Lascaray Ikergunea, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0001-5041-1674
María Ángeles Solinís AspiazuPharmacokinetic, Nanotechnology and Gene Therapy Group (Pharma Nano Gene), Centro de Investigación Lascaray Ikergunea, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0001-9127-0775
Ana Del Pozo-RodríguezPharmacokinetic, Nanotechnology and Gene Therapy Group (Pharma Nano Gene), Centro de Investigación Lascaray Ikergunea, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0003-2478-0884
Alicia Rodríguez-GascónPharmacokinetic, Nanotechnology and Gene Therapy Group (Pharma Nano Gene), Centro de Investigación Lascaray Ikergunea, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0002-3195-6385
University of the Basque Country · ES

Funding

MCIU/AEI/FEDER RTI2018-098672-B-I00Merck Salud FoundationUniversity of the Basque Country UPV/EHU GIU17/032
6 · The paper itself

Abstract

Fabry disease (FD) is a monogenic X-linked lysosomal storage disorder caused by a deficiency in the lysosomal enzyme α-Galactosidase A (α-Gal A). It is a good candidate to be treated with gene therapy, in which moderately low levels of enzyme activity should be sufficient for clinical efficacy. In the present work we have evaluated the efficacy of a non-viral vector based on solid lipid nanoparticles (SLN) to increase α-Gal A activity in an FD mouse model after intravenous administration. The SLN-based vector incremented α-Gal A activity to about 10%, 15%, 20% and 14% of the levels of the wild-type in liver, spleen, heart and kidney, respectively. In addition, the SLN-based vector significantly increased α-Gal A activity with respect to the naked pDNA used as a control in plasma, heart and kidney. The administration of a dose per week for three weeks was more effective than a single-dose administration. Administration of the SLN-based vector did not increase liver transaminases, indicative of a lack of toxicity. Additional studies are necessary to optimize the efficacy of the system; however, these results reinforce the potential of lipid-based nanocarriers to treat FD by gene therapy.

Indexed as

Fabry diseaseFabry micegene therapyintravenous administrationnon-viral vectorspDNAsolid lipid nanoparticlesα-galactosidase A

Identifiers

PMID34064206
PMCPMC8224287
OpenAlexW3160431638

What OpenQuestion holds

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LicenceCC BY
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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.