Tripeptide IRW (Ile-Arg-Trp) as a Potential Nutraceutical Intervention in Osteoporosis
Bibliographic record
Abstract
Bone health is an important medical concern in rapidly aging demographics worldwide. Excessive bone resorption, due to enhanced activity of osteoclasts, is a major underlying cause of bone disorders such as osteoporosis. Inflammation and oxidative stress are key factors contributing to increased osteoclastic activity. Like increased activity of osteoclasts, depletion of osteoblasts also contributes to weakened structural integrity of bone. Considering the epidemiology of bone disorders and aging demographics there is a substantial need for novel bone health therapeutics. IRW (Ile-Arg-Trp), an egg-derived tripeptide, exhibits a spectrum of pharmacological activity. In our recent work, we have shown that IRW inhibits osteoclastogenesis and promotes osteogenesis in the mouse macrophage RAW 264.7 and MC3T3-E1 cells. IRW treatment (25 and 50 μM) significantly inhibited osteoclastogenesis-associated factors [TRAF6 (TNF Receptor Associated Factor 6), Fos Proto-Oncogene (c-Fos), Nuclear Factor of Activated T Cells 1 (NFATc1), and cathepsin K] and upregulated osteogenesis-associated factors [RUNX2 (Runt-related transcription factor 2) and RANKL (Receptor activator of nuclear factor kappa-B ligand)] in the two cell lines. Currently, we are conducting studies to analyze the impact of IRW on Angiotensin II (Ang II)-induced stress in vitro and in vivo. In summary, our recent work presents the ability of IRW to prevent LPS-induced inflammatory bone resorption and activation of osteogenesis activity via multiple signaling pathways.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".