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Record W4402334287 · doi:10.1016/j.jafr.2024.101396

Mechanistic Elucidation of green seaweed compounds in orthodontic relapse management via RANKL/TNF-α-mediated ROS/Keap1/Nrf2 signaling: In silico and Ex Vivo studies

2024· article· en· W4402334287 on OpenAlex

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

VenueJournal of Agriculture and Food Research · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeaweed-derived Bioactive Compounds
Canadian institutionsCarleton University
Fundersnot available
KeywordsIn silicoEx vivoRANKLTumor necrosis factor alphaIn vivoKEAP1ChemistryCell biologyCancer researchMedicineBiologyImmunologyBiochemistryReceptorGeneGeneticsTranscription factor

Abstract

fetched live from OpenAlex

Orthodontic relapse, the return to a pre-treatment position after orthodontic correction, is driven by the RANKL/TNF-α-mediated ROS/Keap1/Nrf2 signaling axis. This mechanism triggers aseptic inflammation and oxidative stress, influencing bone resorption and formation. Antioxidants can mitigate oxidative stress, potentially improving post-orthodontic outcomes. This study explores the efficacy of antioxidant compounds derived from green seaweed/algae in managing orthodontic relapse. Green seaweed/algae extracts were prepared via sonication, and bioactive compounds were identified using ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MS/MS) analysis. Compounds underwent bioactivity prediction, toxicity assessment, and drug-likeness evaluation, revealing significant therapeutic potential. Network pharmacology and molecular docking identified key proteins associated with orthodontic relapse, including IL-1β, STAT3, ESR1, MAPK1, JAK2, and HMOX1. Molecular docking simulations indicated favorable binding energies for green seaweed compounds, particularly the alkaloids adenosine (ΔG −6.9 to −7.3 kcal/mol) and lycopodine (ΔG −6.3 to −8.5 kcal/mol), against targeted proteins, matching or outperforming standard drugs such as s-ibuprofen (ΔG −6.7 kcal/mol). In vitro assays confirmed the antioxidant activity of these compounds, with EC 50 dose of 52.2–54.2 μg/mL for ABTS radical scavenging capacities. Protein expression analysis in tibial-femoral bone marrow cells further demonstrated the potential of green seaweed/algae compounds to suppress osteoclastogenesis by modulating the RANKL/TNF-α-mediated ROS/Keap1/Nrf2 pathway. This research highlights the promise of green seaweed-derived antioxidants in reducing oxidative stress and managing orthodontic relapse, providing a foundation for future therapeutic developments. • Green seaweed potential in reducing oxidative stress and preventing orthodontic relapse. • Green seaweed suppresses osteoclastogenesis by modulating the RANKL/TNF-α-mediated ROS/Keap1/Nrf2 pathway. • Pharmacologists and clinicians must collaborate to bring promising food functional findings from the bench to the bedside.

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)0.002
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.075
GPT teacher head0.322
Teacher spread0.247 · 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