Evidence map›Paper›PMID 36677692›Full record

ReviewMolecules (Basel, Switzerland)2023

Recent Advances on Small-Molecule Antagonists Targeting TLR7.

Haoyang Zheng, Peiyang Wu, Pierre-Antoine Bonnet

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 26 citations in OpenAlex.

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  20. Facile synthesis of newRSC advances · 2023
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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 3 institutions in 2 countries.

Haoyang ZhengFaculty of Pharmacy, Montpellier University, 34093 Montpellier, France.
Peiyang WuSchool of Life Sciences, Shanghai Normal University, Shanghai 200234, China.
Pierre-Antoine BonnetInstitut des Biomolécules Max Mousseron IBMM, Ecole Nationale Supérieure de Chimie de Montpellier ENSCM, Montpellier University, Centre National de La Recherche Scientifique CNRS, 34093 Montpellier, France.
Institut des Biomolécules Max Mousseron · FRShanghai Normal University · CNUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptor 7 (TLR7) is a class of pattern recognition receptors (PRRs) recognizing the pathogen-associated elements and damage and as such is a major player in the innate immune system. TLR7 triggers the release of pro-inflammatory cytokines or type-I interferons (IFN), which is essential for immunoregulation. Increasing reports also highlight that the abnormal activation of endosomal TLR7 is implicated in various immune-related diseases, carcinogenesis as well as the proliferation of human immunodeficiency virus (HIV). Hence, the design and development of potent and selective TLR7 antagonists based on small molecules or oligonucleotides may offer new tools for the prevention and management of such diseases. In this review, we offer an updated overview of the main structural features and therapeutic potential of small-molecule antagonists of TLR7. Various heterocyclic scaffolds targeting TLR7 binding sites are presented: pyrazoloquinoxaline, quinazoline, purine, imidazopyridine, pyridone, benzanilide, pyrazolopyrimidine/pyridine, benzoxazole, indazole, indole, and quinoline. Additionally, their structure-activity relationships (SAR) studies associated with biological activities and protein binding modes are introduced.

Indexed as

Interferon Type IToll-Like Receptor 7CytokinesHumansStructure-Activity RelationshipCytokinesInterferon Type ITLR7 protein, humanToll-Like Receptor 7antagonistsheterocycleinnate immunityTLR7

Identifiers

PMID36677692
PMCPMC9865772
OpenAlexW4313890069

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.