Evidence map›Paper›PMID 30229864›Full record

ArticleBiotechnology and bioengineering2019

Combinatorial lentiviral gene delivery of pro-oligodendrogenic factors for improving myelination of regenerating axons after spinal cord injury.

Dominique R Smith, Daniel J Margul, Courtney M Dumont, Mitchell A Carlson, Mary K Munsell, Mitchell Johnson, Brian J Cummings, Aileen J Anderson, Lonnie D Shea

Open access · bronzeAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Neuroprotective role of Noggin in spinal cord injury.Neural regeneration research · 2023
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Lentiviral Interleukin-10 Gene Therapy Preserves Fine Motor Circuitry and Function After a Cervical Spinal Cord Injury in Male and Female Mice.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Article
  7. Article
  8. Article
  9. Regenerative Therapies for Spinal Cord Injury.Tissue engineering. Part B, Reviews · 2019
    Review
  10. 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

9 authors at 3 institutions in 1 country.

Dominique R SmithDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Daniel J MargulDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois.
Courtney M DumontDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Mitchell A CarlsonDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Mary K MunsellDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Mitchell JohnsonDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Brian J CummingsInstitute for Memory Impairments and Neurological Disorders (iMIND), University of California, Irvine, California.
Aileen J AndersonInstitute for Memory Impairments and Neurological Disorders (iMIND), University of California, Irvine, California.
Lonnie D SheaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-9296-9673
University of Michigan · USUniversity of California, Irvine · USNorthwestern University · US

Funding

Controlled Release Scaffolds for Nerve RegenerationR01EB005678 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ANDERSON, AILEEN J, SHEA, LONNIE D · 2007 to 2018
$6.0M
Protein-Releasing Microporous Scaffolds for Cell Replacement TherapyR01EB009910 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUO, XUNRONG, SHEA, LONNIE D · 2010 to 2018
$3.5M
NIBIB NIH HHS R01 EB005678NIBIB NIH HHS R01 EB009910
6 · The paper itself

Abstract

Spinal cord injury (SCI) results in paralysis below the injury and strategies are being developed that support axonal regrowth, yet recovery lags, in part, because many axons are not remyelinated. Herein, we investigated strategies to increase myelination of regenerating axons by overexpression of platelet-derived growth factor (PDGF)-AA and noggin either alone or in combination in a mouse SCI model. Noggin and PDGF-AA have been identified as factors that enhance recruitment and differentiation of endogenous progenitors to promote myelination. Lentivirus encoding for these factors was delivered from a multichannel bridge, which we have previously shown creates a permissive environment and supports robust axonal growth through channels. The combination of noggin+PDGF enhanced total myelination of regenerating axons relative to either factor alone, and importantly, enhanced functional recovery relative to the control condition. The increase in myelination was consistent with an increase in oligodendrocyte-derived myelin, which was also associated with a greater density of cells of an oligodendroglial lineage relative to each factor individually and control conditions. These results suggest enhanced myelination of regenerating axons by noggin+PDGF that act on oligodendrocyte-lineage cells post-SCI, which ultimately led to improved functional outcomes.

Indexed as

Nerve RegenerationAnimalsCarrier ProteinsDisease Models, AnimalDrug CarriersGenetic TherapyGenetic VectorsLentivirusMiceMyelin SheathNoggin ProteinPlatelet-Derived Growth FactorRegenerative MedicineSpinal Cord InjuriesTreatment OutcomeCarrier ProteinsDrug CarriersNoggin ProteinPlatelet-Derived Growth Factorgene therapymyelinationspinal cord injury (SCI)tissue engineering

Identifiers

PMID30229864
PMCPMC6289889
OpenAlexW2891049602

What OpenQuestion holds

Textmetadata
LicenceTDM
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.