RESUMEN
Yi Mai Jian herbal formula (YMJ) is formulated with Eucommiae Folium, Astragali Radix, Ligustri Lucidi Fructus, and Elaeagnus Fructus to improve bone function in traditional Chinese medicine. The anti-osteoporotic effects of YMJ in bone metabolism were evaluated in ovariectomized (OVX) rats. The skeletal structure of the femur and vertebrae was analyzed after treating OVX rats with YMJ for 114 days. The results showed that YMJ significantly increased the bone mineral density (BMD) and trabecular number (Tb. N) of the femur and 5th lumbar vertebrae and reduced trabecular separation (Tb. Sp). Moreover, trabecular bone volume/total tissue volume (BV/TV), bone stiffness, and maximum femur load were significantly increased. The serum concentrations of NTX1 and PYD were significantly decreased. According to these results, YMJ could ameliorate osteoporosis in ovariectomized rats. Eucommiae Folium and Elaeagnus Fructus inhibited osteoclast differentiation, Ligustri Lucidi Fructus inhibited calcium reabsorption, Astragali Radix stimulated osteoblast proliferation, and Astragali Radix and Eucommiae Folium stimulated mineralization. Therefore, the combination of the four herbs into one formula, YMJ, could alleviate bone remodeling caused by low estrogen levels. We suggest that YMJ could be a healthy food candidate for preventing post-menopausal osteoporosis.
RESUMEN
Machine learning (ML) has been used for many clinical decision-making processes and diagnostic procedures in bioinformatics applications. We examined eight algorithms, including linear discriminant analysis (LDA), logistic regression (LR), k-nearest neighbor (KNN), random forest (RF), gradient boosting machine (GBM), support vector machine (SVM), Naïve Bayes classifier (NB), and artificial neural network (ANN) models, to evaluate their classification and prediction capabilities for four tissue types in Wolfiporia extensa using their monosaccharide composition profiles. All 8 ML-based models were assessed as exemplary models with AUC exceeding 0.8. Five models, namely LDA, KNN, RF, GBM, and ANN, performed excellently in the four-tissue-type classification (AUC > 0.9). Additionally, all eight models were evaluated as good predictive models with AUC value > 0.8 in the three-tissue-type classification. Notably, all 8 ML-based methods outperformed the single linear discriminant analysis (LDA) plotting method. For large sample sizes, the ML-based methods perform better than traditional regression techniques and could potentially increase the accuracy in identifying tissue samples of W. extensa.
Asunto(s)
Wolfiporia , Teorema de Bayes , Aprendizaje Automático , Algoritmos , Redes Neurales de la ComputaciónRESUMEN
ETHNOPHARMACOLOGICAL RELEVANCE: Ji-Ming-Shan (JMS) is a traditional herbal prescription consisting of seven herbs including Areca cathechu Burm.f., Citrus reticulata Blanco, Chaenomeles speciosa (Sweet) Nakai, Euodia ruticarpa (A. Juss.) Benth., Perilla frutescens (L.) Britton, Zingiber officinale Roscoe, Platycodon grandiflorus (Jacq.). It was first recorded during the Song dynasty and has been used extensively for protection against rheumatism, treatment of swelling of tendons, relief from foot pain, gout and diuresis and other forms of inflammation. AIM OF THE STUDY: The aim of this study is to evaluate the anti-inflammatory and anti-osteoarthritis activity of JMS extracts with the use of different cell lines (RAW 264.7 cells, SW1353 cells and primary cultured rat chondrocytes). MIA-induced rat animal models were used to assess the anti-osteoarthritis activity of the extract. MATERIALS AND METHODS: This study investigated the anti-inflammatory activity of JMS-95E on LPS-induced RAW 264.7 macrophages and IL-1ß-stimulated chondrocytes. For the in vivo study, male Wistar rats were used and they were randomly assigned in different groups: blank, control, positive control and three different JMS-95E treatment groups (200, 400, 800 mg/kg/d). Paw edema, hind-limb weight bearing, serum inflammatory cytokines including hematoxylin and eosin (HE) staining experiments were used to assess the efficacy of the extract in the rat model. RESULT: JMS 95% ethanol extract (JMS-95E, marker substance: narirutin (5.10 mg/g) and hesperidin (11.33 mg/g) has been identified in the extract using high pressure liquid chromatography. For in vitro assays, JMS-95E did not exhibit cytotoxicity and was able to downregulate the protein expression of iNOS, COX-2 and MMP-13. The production of inflammatory mediators such as NO and PGE2 were also reduced with an increase in dose-dependent manner in various cell lines. Inhibitory activity on the key enzyme xanthine oxidase was also observed in this study. In rat animal models, JMS-95E reduced the inflammatory responses such as acute swelling, chondrocyte degradation and pain section of paw edema in rat model. Molecular marker studies of inflammation demonstrated that JMS-95E significantly decrease PGE2 expression in MIA model. CONCLUSION: JMS-95E inhibited the inflammatory pathway leading to the production or expression levels of NO, iNOS, COX-2 and PGE2 in macrophage cells. In primary cultured rat chondrocytes iNOS and SW1353 MMP-13 expression were downregulated after JMS-95E treatment. For the in vivo study JMS-95E significantly reduced the paw volume of carrageenan-induced rat paw edema through each dose and significantly inhibited paw volume, counterweight the distribution of hind-paw weight bearing through the MIA model which means JMS-95E could promote recovery of the acute swelling and chondrocyte degradation of the ankle joints. The above results provided the multiple mechanism of JMS-95E in OA treatment of the scientific founding which supported the description of JMS in traditional use.