Evidence map›Paper›PMID 27695399›Full record

ReviewFrontiers in molecular neuroscience2016

NF-κB Pathways in the Pathogenesis of Multiple Sclerosis and the Therapeutic Implications.

Saskia M Leibowitz, Jun Yan

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

61 citing papers in PubMed, 102 citations in OpenAlex.

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  11. Non-saponin fromJournal of ginseng research · 2025
    Article
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  13. GWAS highlights the neuronal contribution to multiple sclerosis susceptibility.medRxiv : the preprint server for health sciences · 2024
    Article
  14. Role of fenofibrate in multiple sclerosis.European journal of medical research · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. Article
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  20. Article

1 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Saskia M LeibowitzUQ Centre for Clinical Research, The University of Queensland Brisbane, QLD, Australia.
Jun YanUQ Centre for Clinical Research, The University of Queensland Brisbane, QLD, Australia.
University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathways are involved in cell immune responses, apoptosis and infections. In multiple sclerosis (MS), NF-κB pathways are changed, leading to increased levels of NF-κB activation in cells. This may indicate a key role for NF-κB in MS pathogenesis. NF-κB signaling is complex, with many elements involved in its activation and regulation. Interestingly, current MS treatments are found to be directly or indirectly linked to NF-κB pathways and act to adjust the innate and adaptive immune system in patients. In this review, we will first focus on the intricacies of NF-κB signaling, including the activating pathways and regulatory elements. Next, we will theorize about the role of NF-κB in MS pathogenesis, based on current research findings, and discuss some of the associated therapeutic implications. Lastly, we will review four new MS treatments which interrupt NF-κB pathways-fingolimod, teriflunomide, dimethyl fumarate (DMF) and laquinimod (LAQ)-and explain their mechanisms, and the possible strategy for MS treatments in the future.

Indexed as

IKKIκB-αmultiple sclerosisNF-κBsignaling pathway

Identifiers

PMID27695399
PMCPMC5023675
OpenAlexW2522494346

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.