Anti-inflammatory activity of a Thai traditional remedy Lom-Pa-Kang and its potential use for knee osteoarthritis therapy
Bibliographic record
Abstract
Lom-Pa-Kang (LPK) is a Thai traditional remedy consisting of four plants: Piper nigrum L., Zingiber officinale Roscoe, Citrus hystrix DC., and Cynodon aethiopicus, used to treat headaches from migraines and joint pain.The objectives of this study were to investigate anti-inflammatory activity via nitric oxide (NO) production using Griess reagent assay and MTT assay.In addition, the preliminary clinical trial was investigated in osteoarthritis (OA) of knee patients using the Western Ontario and MacMaster University Scales (WOMAC) and Numeric Rating Scales (NRS).The result showed that the ethanolic extract of the dried LPK remedy exhibited higher anti-inflammatory effect on NO production in the murine macrophage cell lines than that of a standard drug (Ibuprofen) with IC 50 values of 13.817 0.999 and 56.595 0.116 g/ml, respectively.Interestingly, all extracts of LPK exhibited non-cytotoxicity upon assessment of cell metabolic activity.The bioactive compounds with anti-inflammatory effect were analyzed using Gas Chromatography Mass-Spectroscopy (GC-MS).Moreover, a four-week preliminary clinical trial in 30 patients of knee OA, aged between 40 and 55 years, had found a statistically significant decrease in NRS pain scores and improvements in WOMAC index scores including pain, stiffness, and physical function, since day seven when compared with baseline (**p < 0.001).No adverse effects were identified in any patients.In conclusion, LPK remedy has significant antiinflammatory activity and offers a potential anti-inflammatory therapeutic approach via localized drug delivery in knee OA patients.
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 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".