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Record W4396544229 · doi:10.1016/j.jtcme.2024.04.011

Unlocking the potential of luteolin: A natural migraine management approach through network pharmacology

2024· article· en· W4396544229 on OpenAlexfundno aff
Rapuru Rushendran, Chitra Vellapandian

Bibliographic record

VenueJournal of Traditional and Complementary Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsnot available
FundersMinistry of Rural AffairsSRM Institute of Science and Technology
KeywordsLuteolinMigrainePharmacologyMedicineNatural (archaeology)Natural medicineNeuroscienceTraditional medicinePsychologyBiologyAnesthesia

Abstract

fetched live from OpenAlex

Background: Luteolin, a natural flavonoid, exhibits antioxidant and anti-inflammatory properties and has been investigated for potential health benefits. Its focus on migraine management arises from its ability to mitigate neuroinflammation, a key factor in migraine attacks. Methods: pkCSM and Swiss ADME were employed to assess luteolin's pharmacokinetic properties, revealing challenges such as low water solubility and limited skin permeability. OSIRIS Property Explorer is used to check the toxicity. Ligand binding simulations indicated luteolin's potential to interact with calcitonin gene related peptide proteins, crucial in migraine pathophysiology. DisGeNet identified common targets related to migraine, with subsequent network analysis emphasizing promising targets. Results and Discussion: Luteolin demonstrated good intestinal absorption but faced BBB limitations, suggesting a potential for oral administration but questioning direct brain impact. Nanoformulation was proposed to address solubility challenges, emphasizing the need for in vivo validation. The highest binding affinity with CGRP proteins PDBID: 6PFO (-7.63 kcal/mol) suggested a potential for migraine treatment, requiring empirical confirmation. Enrichment network analysis illustrated luteolin's potential in migraine treatment, emphasizing key targets such as PTGS2, AKT1, ESR1, MMP2, and MMP9. Luteolin shows promise for migraine management, evident in its pharmacokinetic, toxicological profiles, and interactions with CGRP proteins. Challenges like low solubility suggest the need for nanoformulations and empirical validation. Target identification and network analysis offer insights, highlighting potential therapeutic avenues in migraine treatment. Conclusion: Luteolin holds promise in migraine management, necessitating further research for translation into effective interventions, considering its neuroprotective potential in broader neurological conditions.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.319
Teacher spread0.262 · 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 designSimulation or modeling
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

Citations10
Published2024
Admission routes1
Has abstractyes

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