Evidence map›Paper›PMID 36926709›Full record

ArticleNeural regeneration research2023

Reviving the use of inhibitors of matrix metalloproteases in spinal cord injury: a case for specificity.

Zubair Ahmed

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2023. 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
1.0field-weighted citation impact, top 24% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

1 author at 1 institution in 1 country.

Zubair AhmedNeuroscience and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham; Center for Trauma Sciences Research, University of Bimringham, Edgbaston, Birmingham, UK.
University of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, there are no restorative therapies in the clinic for spinal cord injury, with current treatments offering only palliative treatment options. The role of matrix metalloproteases is well established in spinal cord injury, however, translation into the clinical space was plagued by early designs of matrix metalloprotease inhibitors that lacked specificity and fears of musculoskeletal syndrome prevented their further development. Newer, much more specific matrix metalloprotease inhibitors have revived the possibility of using these inhibitors in the clinic since they are much more specific to their target matrix metalloproteases. Here, the evidence for use of matrix metalloproteases after spinal cord injury is reviewed and researchers are urged to overcome their old fears regarding matrix metalloprotease inhibition and possible side effects for the field to progress. Recently published work by us shows that inhibition of specific matrix metalloproteases after spinal cord injury holds promise since four key consequences of spinal cord injury could be alleviated by specific, next-generation matrix metalloprotease inhibitors. For example, specific inhibition of matrix metalloprotease-9 and matrix metalloprotease-12 within 24 hours after injury and for 3 days, alleviates spinal cord injury-induced edema, blood-spinal cord barrier breakdown, neuropathic pain and restores sensory and locomotor function. Attempts are now underway to translate this therapy into the clinic.

Indexed as

axon regenerationblood-spinal cord barrieredemafunctional recoverymatrix metalloprotease-9matrix metalloproteses-12painspinal cord injury

Identifiers

PMID36926709
PMCPMC10233756
OpenAlexW4320923645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.