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Record W4408089894 · doi:10.1080/14786419.2025.2472272

Acetylcholinesterase and monoamine oxidase inhibitory activities of <i>Pistacia falcata</i> Becc. ex Martelli extract

2025· article· en· W4408089894 on OpenAlex
Bashaer Alsharif, Matilde Biasiotti, Ammar Bader, Wirginia Kukuła‐Koch, Gavin P. Davey, Fábio Boylan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNatural Product Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsTrinity College
Fundersnot available
KeywordsMonoamine oxidaseAcetylcholinesteraseChemistryInhibitory postsynaptic potentialPistaciaBotanyEnzymeBiologyBiochemistryEndocrinology

Abstract

fetched live from OpenAlex

Plants in the genus Pistacia represent valuable natural resources for neuroprotective research based on ethnomedicinal knowledge. While other Pistacia species have been extensively studied, Pistacia falcata (P. falcata) has received limited attention. This study aimed to characterise the phenolic compounds in P. falcata extract using HPLC-DAD-MS/MS and evaluate its neuroprotective potential by assessing its ability to inhibit important central nervous system (CNS) enzymes—acetylcholinesterase (AChE) and monoamine oxidases (MAO-A and MAO-B). P. falcata displayed a rich profile of phenolic acids and unique glucuronidated flavonoids, contributing to its potent antioxidant activity (IC50 23.37 ± 0.63 µg/mL). The extract exhibited a stronger inhibitory effect on MAO-B than MAO-A and inhibited AChE (IC50 0.22 ± 0.01 mg/mL). These findings suggest that P. falcata has significant neuroprotective potential, warranting further investigation as a source of functional food and nutraceutical ingredients for managing neurodegenerative diseases.

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.

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 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 score0.012
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.331
Teacher spread0.312 · 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