Evidence map›Paper›PMID 42396541›Full record

ReviewFood science & nutrition2026

Dietary Polyphenols as Natural Modulators of NF-κB Signaling in Inflammation-Driven Non-Communicable Diseases: Focus on Cancer.

Khuzin Dinislam, Anas Shamsi, Syed Tasqeruddin, Moyad Shahwan

Abstract readReview
In one paragraph

Review in Food science & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Khuzin DinislamDepartment of General Chemistry Bashkir State Medical University Ufa Russia.
Anas ShamsiCenter of Medical and Bio-Allied Health Sciences Research Ajman University Ajman UAE.ORCID https://orcid.org/0000-0001-7055-7056
Syed TasqeruddinDepartment of Pharmaceutical Chemistry, College of Pharmacy King Khalid University Abha Saudi Arabia.
Moyad ShahwanClsenter of Excellence in Precision Medicine and Digital Health Chulalongkorn University Bangok Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic low-grade inflammation is a key driver of non-communicable diseases (NCDs), including cancer, cardiovascular disorders, metabolic syndrome, and neurodegenerative diseases (NDs). Nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) is a master transcription factor that orchestrates inflammatory signaling, immune dysregulation, cellular proliferation, and survival pathways implicated in inflammation-driven pathologies. Initiation and activation of other chronic inflammatory diseases can be linked to continued NF-κB activation, thus making it an attractive target for therapeutics. Dietary polyphenols that are found in fruits, vegetables, tea, coffee, and other foods have a broad therapeutic potential and have emerged as potent natural modulators of NF-κB signaling. Various studies have highlighted the relevance of different classes of polyphenols. These classes, flavonoids, phenolic acids, and other polyphenolic compounds exert anti-inflammatory and chemopreventive effects through multiple mechanisms, by suppressing NF-κB activation, inhibition of kinases, reduction of oxidative stress, and modulation of epigenetic and redox-sensitive pathways. The present review provides insight into the mechanisms by which dietary polyphenols regulate NF-κB signaling and highlights their role in the prevention of inflammation-driven NCDs.

Indexed as

cancerdietary polyphenolsinflammationoncogenic signalingoxidative stressphytochemicals

Identifiers

PMID42396541
PMCPMC13324820

What Socratic 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 Socratic graph.