Evidence mapPaperPMID 41301532Full record

ArticleBiomolecules2025

Citronellol Reduces Sepsis-Induced Renal Inflammation via AP-1/NF-κB/TNF-α Pathway.

Huda Rashid Atiyah, Sarmed H Kathem, Surya M Nauli

Abstract read
In one paragraph

Article in Biomolecules, 2025. 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

3 authors.

Huda Rashid AtiyahPharmacology and Toxicology Department, College of Pharmacy, University of Kufa, Kufa 66001, Iraq.ORCID 0009-0006-6574-2541
Sarmed H KathemPharmacology and Toxicology Department, College of Pharmacy, University of Baghdad, Baghdad 10046, Iraq.ORCID 0000-0002-1346-6251
Surya M NauliDepartment of Biomedical & Pharmaceutical Sciences, School of Pharmacy, Chapman University, Irvine, CA 992866, USA.ORCID 0000-0002-9676-0287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is characterized by the over-production of pro-inflammatory cytokines. Cecal ligation and puncture (CLP) is a well-accepted model for recreating sepsis-induced renal injury in mice. The current study investigates how citronellol, a naturally occurring substance with a variety of biological characteristics, can prevent acute kidney inflammation brought on by CLP. In the CLP mouse model, citronellol was administered orally at doses of 50 and 100 mg/kg. Serum levels of creatinine and urea were used as markers of renal function, and the Murine Sepsis Score (MSS) was used to assess the severity of sepsis. According to our findings, CLP caused a decline in renal function, as shown by higher serum urea and creatinine levels in comparison to control mice. Nevertheless, administering citronellol as pretreatment at doses of 50 and 100 mg/kg alleviated the deterioration in renal functions. Citronellol decreased levels of serum urea and creatinine. Citronellol demonstrated an anti-inflammatory effect by reducing pro-inflammatory cytokines (TNF-α, NF-κB, AP-1) and KIM-1. Overall, our study suggests that citronellol holds a promise as a potential therapeutic agent for mitigating kidney inflammation.

Indexed as

Acyclic MonoterpenesInflammationNF-kappa BSepsisTranscription Factor AP-1Tumor Necrosis Factor-alphaAnimalsAnti-Inflammatory AgentsCreatinineDisease Models, AnimalHepatitis A Virus Cellular Receptor 1KidneyMaleMiceSignal TransductionAcyclic MonoterpenesAnti-Inflammatory AgentscitronellolCreatinineHepatitis A Virus Cellular Receptor 1NF-kappa BTranscription Factor AP-1Tumor Necrosis Factor-alphaAP-1citronellolCLPkidney injuryKIM-1NF-κBTNF-α

Identifiers

PMID41301532
PMCPMC12649931

What Socratic holds

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Registered trials

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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.