Clinical and Animal Studies of Waist and Knee Scraping Therapy forKnee Osteoarthritis
Notice bibliographique
Résumé
BACKGROUND: Knee osteoarthritis (KOA) is a degenerative condition with knee pain as the main clinical manifestation. Scraping is one of the commonly used traditional Chinese medicine treatment methods, which activates blood circulation, removes blood stasis, reduces inflammation, and so on. Although scholars have proposed that the synergistic treatment of the waist and knee for KOA is superior to simple knee treatment, there is no relevant reference literature on the application of scraping therapy. Therefore, this study aims to explore the effectiveness and potential mechanisms of waist and knee scraping therapy for treating KOA through clinical and animal studies in order to promote its clinical application. OBJECTIVE: To explore the clinical efficacy of waist and knee scraping therapy in the treatment of KOA from clinical study and increase animal study on this basis to preliminarily explore its mechanism, providing an objective basis for better treatment of KOA. METHODS: The clinical study recruited 90 KOA patients and divided them into a control group, a knee scraping group, and a waist and knee scraping group using a random number table method. All patients were evaluated for clinical efficacy, the Western Ontario McMaster Universities Osteoarthritis Index (WOMAC), and Traditional Chinese Medicine Syndrome Score. The KOA rat model was established using the Hulth method. The rats were randomly divided into a control group, KOA group, waist scraping group, knee scraping group, and waist and knee scraping group. During the intervention process of rats, the pain sensitivity threshold was measured, and HE staining was performed on the synovium and cartilage. The protein and mRNA expression levels of TNF-α, IL- 1β, IL-6, PGP9.5, SP and TRPA1, TRPV4, SP, and NGF were measured by Western blot and real-time PCR. RESULTS: In the clinical study, the clinical efficacy of the 2 scraping groups was significantly higher than that of the control group. The clinical efficacy of the waist and knee scraping group on the 60th day of treatment was significantly higher than that of the knee scraping group. In terms of improving WOMAC scores, all 3 groups had significance; The function and total score of the waist and knee scraping group on the 28th day of treatment, as well as the pain, function, and total score on the 60th day, were lower than those of the knee scraping group. In terms of improving pain while standing, pain when walking on flat ground, and total score, the scraping group had significant differences. The score of heavy limbs in the waist and knee scraping group was lower than that in the knee scraping group. In an animal study, during the 4th week after modeling, there were differences in the pain sensitivity threshold between the KOA group and the waist scraping group compared to the control group, while there were differences in the pain sensitivity threshold between the knee scraping group and the waist and knee scraping group compared to the KOA group. The expression levels of various proteins and genes in the KOA group and waist scraping group increased compared to the control group; The knee scraping group and the waist and knee scraping group were lower than those in the KOA group. CONCLUSION: Scraping therapy can significantly alleviate knee joint pain and stiffness, improve joint function, and improve clinical efficacy, and the short-term and long-term effects of waist and knee scraping therapy are more significant. The scraping therapy has a definite therapeutic effect on KOA rats, which can improve the threshold of cold hyperalgesia and mechanical hyperalgesia, and the waist and knee scraping therapy is more obvious. This may be related to reducing inflammatory reactions in synovial and ganglion tissues.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».