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Ferroptosis plays an essential role in the pathology of osteoporosis. This study investigated whether vitamin D receptor (VDR) activation could protect against age-related osteoporosis through an anti-ferroptosis mechanism. d-galactose (D-gal)-induced mice and VDR-knockout mice were used in the in-vivo study. The VDR activator (1,25(OH)

Chimonanthus salicifolius (CS), the leaves of Chimonanthus salicifolius S. Y. Hu., is an effective tea to prevent and treat hypertension in China.

Anemarrhenae Rhizoma/Phellodendri Chinensis Cortex (AR/PCC) herb pair has been widely used in traditional Chinese medicines for the treatment of diabetic osteoporosis. However, the anti-diabetic osteoporotic active components of AR/PCC remain unclear. This study aimed to explore the major active ingredients in AR/PCC for its protective effects against bone deterioration induced by diabetes.The aqueous extracts of AR/PCC with different proportions (AR:PCC = 1:3, 1:2, 1:1, 2:1 and 3:1, w/w) were prepared. Streptozotocin-induced diabetic rats were orally administrated with the AR/PCC extracts. The absorbed phytochemical compounds in serum of diabetic rats were identified by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry method and their contents in the AR/PCC extracts were determined by high performance liquid chromatography-ultraviolet detector-evaporative light scattering detector method. The absorbed compounds in the extracts were considered as the major potential active components in AR/PCC, and their combination was defined as M-AR/PCC. A component-knockout approach was applied to evaluate the contribution of each compound in M-AR/PCC. The larvae and adults of diabetic zebrafish models were then used to evaluated the anti-diabetic osteoporotic performance of the M-AR/PCC. The real-time reverse transcription polymerase chain reaction technique was applied to study the regulation effects of M-AR/PCC on osteogenesis and osteoclastgensis in diabetic zebrafish models.The phenotypes of diabetic osteoporosis rats induced by streptozotocin were reversed by the oral administration of AR/PCC extracts with different ratios, as evidenced by the increased bone mineral density, bone volume density, trabecular thickness, trabecular number, and decreased trabecular separation of femoral metaphysis. Seven phytochemical compounds were detected in the serum and their contents in AR/PCC varied dramatically with different proportions, including 1 xanthone glycoside and 6 alkaloids. By using diabetic zebrafish larvae model and compound-knockout strategy, each compound in M-AR/PCC were proved to play an indispensable role in the positive regulatory actions in the bone mass of diabetic zebrafish. Furthermore, the herb pair with a ratio of 1:1 and the related M-AR/PCC showed the best therapeutic effects on diabetic osteoporosis. They showed similar performances on the inhibition of the tartrate-resistant acid phosphatase activity and the promotion of the alkaline phosphatase activity in diabetic adult zebrafish model. The M-AR/PCC treatment could decrease the blood glucose, upregulate the mRNA expression levels of osteoblast-related genes (alp, runx2b and opg) and downregulate the expression of osteoclast-related genes (acp5α, rankl and sost) in streptozotocin-induced zebrafish.AR/PCC herb pair and its major active components possess potent anti-diabetic osteoporotic effect on streptozotocin-induced in vivo models. The combination of the seven active compounds derived from AR/PCC herbal pair could be a potential agent for protection against osteoporosis associated with diabetes.

Biochar (BC) derived from orange peels was modified using LaCl

Gouty arthritis is characterized by the deposition of monosodium urate (MSU) within synovial joints and tissues due to increased urate concentrations. Here, we elucidated the role of the natural compound cichoric acid (CA) on the MSU crystal-stimulated inflammatory response. The THP-1-derived macrophages (THP-Ms) were pretreated with CA and then stimulated with MSU suspensions. The protein levels of p65 and IκBα, the activation of the NF-κB signaling pathway by measuring the expression of its downstream inflammatory cytokines, and the activity of NLRP3 inflammasome were measured by western blotting and ELISA. CA treatment markedly inhibited the degradation of IκBα and the activation of NF-κB signaling pathway and reduced the levels of its downstream inflammatory genes such as IL-1β, TNF-α, COX-2, and PGE2 in the MSU-stimulated THP-M cells. Therefore, we infer that CA effectively alleviated MSU-induced inflammation by suppressing the degradation of IκBα, thereby reducing the activation of the NF-κB signaling pathway and the NLRP3 inflammasome. These results suggest that CA could be a novel therapeutic strategy in averting acute episodes of gout.

Gouty arthritis is characterized by the deposition of monosodium urate (MSU) within synovial joints and tissues due to increased urate concentrations. Here, we elucidated the role of the natural compound cichoric acid (CA) on the MSU crystal-stimulated inflammatory response. The THP-1-derived macrophages (THP-Ms) were pretreated with CA and then stimulated with MSU suspensions. The protein levels of p65 and IκBα, the activation of the NF-κB signaling pathway by measuring the expression of its downstream inflammatory cytokines, and the activity of NLRP3 inflammasome were measured by western blotting and ELISA. CA treatment markedly inhibited the degradation of IκBα and the activation of NF-κB signaling pathway and reduced the levels of its downstream inflammatory genes such as IL-1β, TNF-α, COX-2, and PGE2 in the MSU-stimulated THP-M cells. Therefore, we infer that CA effectively alleviated MSU-induced inflammation by suppressing the degradation of IκBα, thereby reducing the activation of the NF-κB signaling pathway and the NLRP3 inflammasome. These results suggest that CA could be a novel therapeutic strategy in averting acute episodes of gout.

With the continuous deepening of the informationization and intelligentization of the electric power industry in China, the fault early warning and diagnosis system of the electric power verification system in China reflects the current situation of insufficient intelligentization. Traditional fault diagnosis system collects operation data of verification system through sensor network, acquisition network and log message technology, and then carries out manual or semi-manual fault detection and processing. There is a small amount of data collected, and the traditional data mining methods such as expert judgment method, decision tree method and SDG model have low efficiency and poor diagnosis effect. In view of this situation, this paper introduces deep learning technology into the verification system of automated pipeline, realizes the integration of fault early warning and diagnosis, builds a fault classification model for automated pipeline based on deep learning neural network, and tests and verifies the effect of model early warning with actual system operation data. The validation of the algorithm gives the result of fault early warning in the form of probability, fully considers the factors affecting the interaction between the pipeline and equipment, has a better effect of fault early warning provides more accurate reference for fault detection and prevention of automated pipeline.