Evidence map›Paper›PMID 39253601›Full record

ArticlePeerJ2024

Asiatic acid reduces lipopolysaccharides-induced pulp inflammation through activation of nuclear factor erythroid 2-related factor 2 in rats.

Risya Cilmiaty, Arlina Nurhapsari, Adi Prayitno, Annisa Aghnia Rahma, Muhana Fawwazy Ilyas

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Risya CilmiatyDoctoral Program of Medical Sciences, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia.
Arlina NurhapsariDepartment of Conservative Dentistry, Faculty of Dentistry, Islamic University of Sultan Agung, Semarang, Central Java, Indonesia.
Adi PrayitnoDepartment of Oral Diseases, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia.
Annisa Aghnia RahmaMedical Profession Program, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia.
Muhana Fawwazy IlyasMedical Profession Program, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia.ORCID 0000-0002-0176-9773

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dental pulp inflammation, often initiated by Gram-negative microorganisms and lipopolysaccharides (LPS), can lead to pulpitis and, subsequently, dental pulp necrosis, compromising tooth structure and increasing susceptibility to fracture. Asiatic acid, derived from Methods: This quasi-laboratory experimental Results: Asiatic acid administration significantly influenced Nrf2 levels in rats with LPS-induced pulp inflammation. Nrf2 levels were significantly higher in groups treated with 0.5% (IG1) (8.810 ± 1.092 ng/mL; Conclusion: This research showed that Asiatic acid significantly impacted the Nrf2 levels in rats with LPS-induced pulp inflammation. This suggests that it has the potential to be used as a therapeutic agent for reducing dental pulp inflammation. These findings support the need to further explore Asiatic acid as a promising intervention for maintaining dental pulp health.

Indexed as

LipopolysaccharidesNF-E2-Related Factor 2Pentacyclic TriterpenesPulpitisRats, WistarAnimalsAnti-Inflammatory AgentsDental PulpInflammationMaleRatsAnti-Inflammatory Agentsasiatic acidLipopolysaccharidesNfe2l2 protein, ratNF-E2-Related Factor 2Pentacyclic TriterpenesAsiatic acidEugenolInflammationIn vivoLipopolysaccharideNrf2Pulptnf-α

Identifiers

PMID39253601
PMCPMC11382647

What OpenQuestion holds

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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.