Evidence map›Paper›PMID 29686833›Full record

ReviewInternational journal of inflammation2018

Natural Products with Toll-Like Receptor 4 Antagonist Activity.

Monica Molteni, Annalisa Bosi, Carlo Rossetti

Open access · goldAbstract readReview
In one paragraph

Review in International journal of inflammation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 73 citations in OpenAlex.

  1. Cinnamon and Derivatives as Modulators of Toll-like Receptors.International journal of molecular sciences · 2026
    Review
  2. Kratom (Molecules (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Review
  5. Article
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  8. Review
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  14. Review
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  16. Acetyl-11-Keto-Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Effect of Lipopolysaccharide fromArchives of Razi Institute · 2021
    Article
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

3 authors at 1 institution in 1 country.

Monica MolteniDipartimento di Biotecnologie e Scienze della Vita, Università degli Studi dell'Insubria, Via Dunant, 3-21100 Varese, Italy.ORCID 0000-0002-5990-3971
Annalisa BosiDipartimento di Biotecnologie e Scienze della Vita, Università degli Studi dell'Insubria, Via Dunant, 3-21100 Varese, Italy.ORCID 0000-0001-5027-880X
Carlo RossettiDipartimento di Biotecnologie e Scienze della Vita, Università degli Studi dell'Insubria, Via Dunant, 3-21100 Varese, Italy.ORCID 0000-0002-6806-2975
University of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-Like Receptors (TLRs) are the innate immunity receptors that play an activating role when interacting with molecules released by bacteria and viruses (PAMPs, pathogen-associated molecular patterns) or with molecules released by injured cells and tissues (DAMPs, danger-associated molecular patterns). TLR triggering leads to the induction of proinflammatory cytokines and chemokines, driving the activation of both innate and adaptive immunity. In particular, Toll-Like Receptor 4 (TLR4) has been described to be involved in the inflammatory processes observed in several pathologies (such as ischemia/reperfusion injury, neuropathic pain, neurodegenerative diseases, and cancer). Molecules obtained by natural sources have been discovered to exert an anti-inflammatory action by targeting TLR4 activation pathways. This review focuses on TLR4 antagonists obtained from bacteria, cyanobacteria, and plants.

Identifiers

PMID29686833
PMCPMC5852877
OpenAlexW2790630823

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.