Evidence map›Paper›PMID 42244042›Full record

ReviewJournal of cellular and molecular medicine2026

The NF-κB Signalling Pathway: Mechanisms, Consequences and Therapeutic Targets.

Bherouz Pourdad, Arash Pourdad

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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.

Bherouz PourdadMedical Biotechnology Department, Mashhad Medical School, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0009-0002-3700-2803
Arash PourdadDepartment of Laboratory Sciences, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear Factor-kappa B (NF-κB) is a master transcriptional regulator orchestrating critical cellular processes, predominantly immunity and inflammation. However, its aberrant constitutive activation has emerged as a unifying pathogenetic hallmark across diverse malignancies, autoimmune disorders, and chronic inflammatory diseases. While the fundamental biology of canonical and non-canonical NF-κB signalling is well-established, translating this extensive knowledge into clinically viable therapeutics remains severely hindered by dose-limiting systemic toxicities and complex pharmacokinetic liabilities. This review critically evaluates the transition of NF-κB from a basic biological paradigm to a highly challenging yet promising therapeutic target. After a streamlined synthesis of its signalling dynamics and pathological implications across various disease states, the core focus of this report shifts to an in-depth analysis of next-generation therapeutic interventions. We specifically dissect advanced molecular strategies, moving beyond conventional pharmacological inhibitors to emphasize nucleic acid-based therapies, including decoy oligodeoxynucleotides (ODNs), peptide nucleic acids (PNAs), and locked nucleic acids (LNAs). Furthermore, we critically address current translational bottlenecks, highlighting the pivotal role of lipid nanoparticle (LNP) transporters and smart drug delivery systems in overcoming off-target effects. By mapping these cutting-edge modalities, this review underscores the critical necessity of transitioning from broad-spectrum inhibition toward context-specific, precision-engineered modulation of the NF-κB axis.

Indexed as

Molecular Targeted TherapyNF-kappa BSignal TransductionAnimalsHumansInflammationNF-kappa BdecoyIKKinflammationIκBJNKliverNF‐κBoncogene

Identifiers

PMID42244042
PMCPMC13238695

What OpenQuestion holds

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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.