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Record W4392787624 · doi:10.1177/1934578x241228944

Hepatoprotective Effects of a Chemically-Characterized Extract from <i>Cistus ladanifer</i> : <i>In Vivo</i> and <i>in Silico</i> Investigations

2024· article· en· W4392787624 on OpenAlexaff
Kaoutar Bouothmany, Fatima Ez‐Zahra Amrati, Mohamed Chebaibi, Yousef A. Bin Jardan, Hiba‐Allah Nafidi, Mohammed Bourhia, Fakhreldeen Dabiellil, El Mzibri Mohammed, Fouad Mellouki, Dalila Bousta, Laïla Benbacer

Bibliographic record

VenueNatural Product Communications · 2024
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsIn silicoIn vivoChemistryTraditional medicineBotanyBiochemistryBiologyBiotechnologyMedicine

Abstract

fetched live from OpenAlex

Background: Liver damage is indicated by histopathological and metabolic dysfunction. There has been increasing interest in natural hepatoprotective agents from medicinal herbs. The medicinal plant Cistus ladanifer widely used in phytotherapy was selected for this study. Objectives: The work aims to investigate the hepatoprotective effects of Cistus ladanifer leaf extracts in vivo against the paracetamol-induced hepatotoxicity mice and in silico using the docking method. The chemical composition of the extracts was also studied. Materials and methods: The paracetamol-induced hepatotoxicity mice were treated with aqueous and methanolic extracts of Cistus ladanifer at two doses of 150 and 300 mg/kg body. The serum levels of aspartate aminotransferase, alanine aminotransferase, triglycerides, total cholesterol, urea, and creatinine in mice-induced hepatotoxicity were measured to evaluate the hepatoprotective activity of the extracts. The histopathological alterations were also investigated. The chemical profile of methanolic and aqueous C. ladanifer extracts was determined using GC-MS. The Human Cytochrome P450 2E1(CYP2E1) was presented as a protein target and the docking was studied using Maestro version 11.5 software developed by Schrodinger, LLC. Results: The administration of C. ladanifer extracts showed hepatic protection at an oral dose of 150 and 300 mg/kg for the aqueous extract and only at 150 mg/kg for the methanolic one. The aqueous extract at both doses and the methanolic extract at 150 mg/kg didn’t occur any biochemical or histological alterations. However, the methanolic extract showed hepatic toxicity at 300 mg/kg. Various compounds were identified in the methanolic and the aqueous extracts, probably responsible of the hepatoprotective activity. The in silico study has also shown that some molecules present in both extracts presented a good affinity in the active site of Cytochrome P450 2E1 (CYP2E1). Conclusion: The results deserve more attention as C. ladanifer can be considered a source of pharmacological compounds with hepatoprotective effects. Further detailed investigation is needed to deepen the study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.377
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

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