Evidence map›Paper›PMID 31482493›Full record

ReviewAdvances in experimental medicine and biology2019

Production of Therapeutic Enzymes by Lentivirus Transgenesis.

María Celeste Rodríguez, Natalia Ceaglio, Sebastián Antuña, María Belén Tardivo, Marina Etcheverrigaray, Claudio Prieto

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 1 institution in 1 country.

María Celeste RodríguezCell Culture Laboratory, UNL, CONICET, FBCB, Santa Fe, Argentina.
Natalia CeaglioCell Culture Laboratory, UNL, CONICET, FBCB, Santa Fe, Argentina.
Sebastián AntuñaZelltek S.A., Santa Fe, Argentina.
María Belén TardivoZelltek S.A., Santa Fe, Argentina.
Marina EtcheverrigarayCell Culture Laboratory, UNL, CONICET, FBCB, Santa Fe, Argentina.
Claudio PrietoCell Culture Laboratory, UNL, FBCB, Santa Fe, Argentina. cprieto@fbcb.unl.edu.ar.
Centro Científico Tecnológico - Santa Fe · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since ERT for several LSDs treatment has emerged at the beginning of the 1980s with Orphan Drug approval, patients' expectancy and life quality have been improved. Most LSDs treatment are based on the replaced of mutated or deficient protein with the natural or recombinant protein.One of the main ERT drawback is the high drug prices. Therefore, different strategies trying to optimize the global ERT biotherapeutic production have been proposed. LVs, a gene delivery tool, can be proposed as an alternative method to generate stable cell lines in manufacturing of recombinant proteins. Since LVs have been used in human gene therapy, clinical trials, safety testing assays and procedures have been developed. Moreover, one of the main advantages of LVs strategy to obtain manufacturing cell line is the short period required as well as the high protein levels achieved.In this chapter, we will focus on LVs as a recombinant protein production platform and we will present a case study that employs LVs to express in a manufacturing cell line, alpha-Galactosidase A (rhαGAL), which is used as ERT for Fabry disease treatment.

Indexed as

Gene Transfer TechniquesLentivirusalpha-GalactosidaseEnzymesFabry DiseaseGenetic VectorsHumansalpha-GalactosidaseEnzymesERTFabry diseaseLentiviral Vectors (LVs)LSDsrhαGAL

Identifiers

PMID31482493
OpenAlexW2971570103

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.