MétaCan
Menu
Back to cohort
Record W4408409928 · doi:10.18280/ijdne.200204

Liquiritigenin Protects Against Glycerol-Induced Acute Kidney Injury via Antioxidant and Anti-Inflammatory Mechanisms

2025· article· en· W4408409928 on OpenAlexvenueno aff
Mohammed S. Hashim Almatwar, Mohammed Qasim Yahya Malallah A. Al-Atrakji

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2025
Typearticle
Languageen
FieldNursing
TopicVitamin C and Antioxidants Research
Canadian institutionsnot available
FundersUniversity of Baghdad
KeywordsLiquiritigeninAntioxidantAnti-inflammatoryGlycerolPharmacologyAcute kidney injuryInflammationMedicineChemistryBiochemistryImmunologyInternal medicinePathology

Abstract

fetched live from OpenAlex

Acute kidney injury (AKI) is a critical clinical condition characterized by a sudden loss of kidney function.AKI is commonly associated with rhabdomyolysis (RML), which often results from myoglobin release.This leads to oxidative stress, inflammation, endothelial damage, and tubular necrosis.Currently, therapeutic options for AKI are limited, spurring interest in natural compounds with nephroprotective effects.This study investigates the protective effects of Liquiritigenin (LQ), a licorice-derived chiral flavonoid.Due to its simple structure, LQ exhibits good absorption and bioavailability.As a selective estrogen-β agonist, it inhibits cytokine gene expression, exerts substantial scavenging activity against reactive species, restores mitochondrial integrity, promotes antioxidant enzyme production, and downregulates cytokine expression.This study investigates the strong antioxidant and anti-inflammatory properties of LQ in a glycerol (GLY)-induced AKI model.Sixty male albino rabbits were divided into five groups: control, AKI-induced group (induction), vehicle group, and two treatment groups treated with LQ (30 mg/kg and 50 mg/kg, respectively).AKI was induced by a single intramuscular injection of hypertonic glycerol.Biochemical analyses included measurements of serum creatinine, urea, creatine kinase (CK), electrolytes, oxidative stress markers (glutathione peroxidase [GPx1] and malondialdehyde [MDA], and inflammatory cytokines (IL1β, IL6, TNF-α).Kidney tissues were examined histologically to assess structural damage.The GLY-induced AKI group exhibited significantly elevated serum creatinine, urea, CK, proinflammatory cytokines, and MDA, alongside decreased GPx1 levels and substantial histopathological damage.In contrast, the LQ treatment groups, especially at 50 mg/kg, showed significant reductions in serum creatinine, urea, CK levels, and inflammatory cytokines, with a notable improvement in GPx1 and a decrease in MDA levels.Electrolyte imbalances observed in the GLY group were also restored in the LQ-treated groups.Histopathological analysis revealed decreased tubular injury and overall tissue recovery in the LQ-treated groups.LQ demonstrated significant nephroprotective effects in GLY-induced AKI, through the inhibition of oxidative stress-induced tubular injury, downregulation of proinflammatory cytokines, and preservation of renal tubular structure.These findings suggest that LQ is a promising therapeutic candidate for managing AKI, particularly in cases associated with RML.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.286
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Design & Nature and EcodynamicsSame topicVitamin C and Antioxidants ResearchFrench-language works237,207