Evidence map›Paper›PMID 31739923›Full record

ReviewNeurosurgery clinics of North America2020

Cell and Gene Therapy for Spine Regeneration: Mammalian Protein Production Platforms for Overproduction of Therapeutic Proteins and Growth Factors.

Ali Mobasheri, Stephen M Richardson

Open access · hybridAbstract readReview
In one paragraph

Review in Neurosurgery clinics of North America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  6. 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

2 authors at 2 institutions in 4 countries.

Ali MobasheriDepartment of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Santariskiu 5, Vilnius 08661, Lithuania; Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, PO Box 5000, Oulu FI-90014, Finland; Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, Queen's Medical Centre, Nottingham, UK; King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. Electronic address: ali.mobasheri@imcentras.lt.
Stephen M RichardsonDivision of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Sciences Centre, Oxford Road, Manchester, UK.
Manchester Academic Health Science Centre · GBQueen's Medical Centre · GB

Funding

Medical Research Council MR/K026682/1
6 · The paper itself

Abstract

This article provides an evidence-based personal perspective on the future of cell and gene therapy for degenerative diseases of the intervertebral disc. This paper focuses on how mammalian protein production platforms and transfected and irradiated protein packaging cell lines may be used as "cellular factories" for overproduction of therapeutic proteins and proanabolic growth factors, particularly in the context of regenerative therapies. This paper also speculates on future opportunities and challenges in this area of research and how new innovations in biotechnology affect cell and gene therapy for degenerative diseases.

Indexed as

RegenerationGenetic TherapyHumansIntervertebral Disc DegenerationSpinal DiseasesStem Cell TransplantationTissue EngineeringCell therapyGDF6Gene therapyGrowth factorsLow back pain (LBP)Mammalian protein production platformsProtein packaging cell linesSpine degenerationTransforming growth factor-β (TGF-β)

Identifiers

PMID31739923
PMCPMC6899505
OpenAlexW2983694068

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.