Screening BVOCs in Cypress Cones to Improve Anxiety and Insomnia and Target Prediction
Why this work is in the frame
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Bibliographic record
Abstract
The Cypress ( Platycladus orientalis (L.) Franco) cones have a unique aroma and are commonly used in pillow fillings to alleviate anxiety and insomnia. In this study, gas chromatography-mass spectrometry (GC-MS) was employed to extract and analyze the biogenic volatile organic compounds (BVOCs) from Cypress cone shells, identifying a total of 28 components, with terpenoids comprising over 99% of the total. α-Pinene was the predominant component, accounting for 67% of the total content (176.328 μg/g). Target prediction identified significant interactions between 14 BVOCs and 19 protein targets, with (-)-α-Pinene, limonene, bornyl acetate, and 3-carene being potential key components for alleviating anxiety and insomnia. The primary targets were VDR (Vitamin D receptor), AchE (Acetylcholinesterase), CTSD (Cathepsin D), TRPV1 (Transient Receptor Potential Cation Channel Subfamily V Member 1), CNR2 (Cannabinoid receptor 2), and PPARα (Peroxisome proliferator-activated receptor alpha), which are mainly involved in neurotransmission and circadian rhythm regulation. Molecular docking simulations showed that the binding of α-Pinene and β-caryophyllene to PPARα and CNR2 proteins was primarily driven by hydrophobic forces, with binding energies ranging from -5.17 to -7.83 kcal/mol, suggesting that these BVOCs might alleviate anxiety and insomnia by influencing related functional proteins. This study reveals the potential mechanisms by which Cypress cone shells may help alleviate anxiety and insomnia.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it