Evidence map›Paper›PMID 22592625›Full record

ReviewCell and tissue research2012

Achieving CNS axon regeneration by manipulating convergent neuro-immune signaling.

John C Gensel, Kristina A Kigerl, Shweta S Mandrekar-Colucci, Andrew D Gaudet, Phillip G Popovich

Open access · greenAbstract readReview
In one paragraph

Review in Cell and tissue research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 44 citations in OpenAlex.

  1. Nonresolving Neuroinflammation Regulates Axon Regeneration in Chronic Spinal Cord Injury.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Stem cell-based therapy for human diseases.Signal transduction and targeted therapy · 2022
    Review
  6. Review
  7. S100-β aggravates spinal cord injury via activation of M1 macrophage phenotype.Journal of musculoskeletal & neuronal interactions · 2021
    Article
  8. Article
  9. Review
  10. Spinal Cord Injury Scarring and Inflammation: Therapies Targeting Glial and Inflammatory Responses.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2018
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. CCL2 Mediates Neuron-Macrophage Interactions to Drive Proregenerative Macrophage Activation Following Preconditioning Injury.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
  17. Review
  18. Toll-Like Receptors and Dectin-1, a C-Type Lectin Receptor, Trigger Divergent Functions in CNS Macrophages.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
  19. Neuroinflammation triggered by β-glucan/dectin-1 signaling enables CNS axon regeneration.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  20. 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

5 authors at 1 institution in 1 country.

John C GenselCenter for Brain and Spinal Cord Repair, Department of Neuroscience, Wexner Medical Center at The Ohio State University, Columbus, OH 43210, USA.
Kristina A Kigerl
Shweta S Mandrekar-Colucci
Andrew D Gaudet
Phillip G Popovich
The Ohio State University Wexner Medical Center · US

Funding

T-cell Functions in the Injured Spinal CordR01NS047175 · NINDS · OHIO STATE UNIVERSITY · PI POPOVICH, PHILLIP G · 2003 to 2013
$3.3M
TREM2 regulation of macrophages in spinal cord injury and CNS endogenous repairR01NS072304 · NINDS · OHIO STATE UNIVERSITY · PI POPOVICH, PHILLIP G · 2011 to 2013
$904k
NINDS NIH HHS NS047175NINDS NIH HHS NS072304NINDS NIH HHS R01 NS047175NINDS NIH HHS R01 NS072304
6 · The paper itself

Abstract

After central nervous system (CNS) trauma, axons have a low capacity for regeneration. Regeneration failure is associated with a muted regenerative response of the neuron itself, combined with a growth-inhibitory and cytotoxic post-injury environment. After spinal cord injury (SCI), resident and infiltrating immune cells (especially microglia/macrophages) contribute significantly to the growth-refractory milieu near the lesion. By targeting both the regenerative potential of the axon and the cytotoxic phenotype of microglia/macrophages, we may be able to improve CNS repair after SCI. In this review, we discuss molecules shown to impact CNS repair by affecting both immune cells and neurons. Specifically, we provide examples of pattern recognition receptors, integrins, cytokines/chemokines, nuclear receptors and galectins that could improve CNS repair. In many cases, signaling by these molecules is complex and may have contradictory effects on recovery depending on the cell types involved or the model studied. Despite this caveat, deciphering convergent signaling pathways on immune cells (which affect axon growth indirectly) and neurons (direct effects on axon growth) could improve repair and recovery after SCI. Future studies must continue to consider how regenerative therapies targeting neurons impact other cells in the pathological CNS. By identifying molecules that simultaneously improve axon regenerative capacity and drive the protective, growth-promoting phenotype of immune cells, we may discover SCI therapies that act synergistically to improve CNS repair and functional recovery.

Indexed as

AnimalsAxonsCentral Nervous SystemHumansNerve RegenerationReceptors, Pattern RecognitionSignal TransductionReceptors, Pattern Recognition

Identifiers

PMID22592625
PMCPMC10881271
OpenAlexW2082042446

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.