Huangqi Guizhi Wuwu Decoction suppresses inflammation and bone destruction in collagen-induced arthritis mice.

Objective: Rheumatoid arthritis (RA) is a chronic inflammatory and destructive arthritis, characterized by inflammatory infiltration and bone destruction. Huangqi Guizhi Wuwu Decoction (HGWD) is traditional Chinese medicine, which has been applied in the treatment of RA in clinical. The aim of this study was to investigate the therapeutic effect of HGWD on collagen-induced arthritis (CIA) mouse model. Methods: DBA/1J female mice were used to establish the collagen-induced arthritis (CIA) model. HGWD was administered intragastrically once a day for four weeks starting on the 22nd day after the first immunization. The body weight, hind paw thickness and clinical score were measured every five days. Gait analysis, histopathological staining, enzyme-linked immunosorbent assay (ELISA), ultrasound imaging and micro-computed tomography imaging were performed to determine the effects of HGWD treatment on inflammation and bone structure in this model. Moreover, Real-time PCR and Western blot analysis were used to detect inflammatory factors mRNA and protein levels after HGWD intervention in RAW 264.7 cells. Results: HGWD attenuated symptoms of arthritis, suppressed inflammatory synovium area and the serum levels of inflammatory factors, inhibited joint space enlargement in the knee and ankle joints, reduced numbers of osteoclasts, protected bone destruction, as well as improved motor function. HGWD decreased the expression of mRNA for inflammatory factors and the protein expression levels of p-NF-кB and IL-17. Conclusion: These results suggested that HGWD suppresses inflammation, attenuates bone erosion and maintains motor function in collagen-induced arthritis mice.

Psychological pain and sociodemographic factors classified suicide attempt and non-suicidal self-injury in adolescents.

This study aimed to utilize machine learning to explore the psychological similarities and differences between suicide attempt (SA) and non-suicidal self-injury (NSSI), with a particular focus on the role of psychological pain. A total of 2385 middle school students were recruited using cluster sampling. The random forest algorithm was used with 25 predictors to develop classification models of SA and NSSI, respectively, and to estimate the importance scores of each predictor. Based on these scores and related theories, shared risk factors (control feature set) and distinct risk factors (distinction feature set) were selected and tested to distinguish between NSSI and SA. The machine learning algorithm exhibited fair to good performance in classifying SA history [Area Under Curves (AUCs): 0.65-0.87] and poor performance in classifying NSSI history (AUC: 0.61-0.68). The distinction feature set comprised pain avoidance, family togetherness, and deviant peer affiliation, while the control feature set included pain arousal, painful feelings, and crisis events. The distinction feature set slightly but stably outperformed the control feature set in classifying SA from NSSI. The three-dimensional psychological pain model, especially pain avoidance, might play a dominant role in understanding the similarities and differences between SA and NSSI.

Patterns of psychological pain and self-harm behaviors in adolescents.

BACKGROUND: The study examined the role of campus stressors and psychological pain on non-suicidal self-injury (NSSI) and suicide attempt (SA). METHODS: Specific patterns of co-occurring psychological pain, campus stressors, and self-harm behaviors were identified by latent profile analysis, and their odds ratios (ORs) on NSSI and SA were analyzed in cross-sectional study and 2-year follow-up study. Structural Equation Model was used to explore indirect effect of campus stressors on SA and NSSI via different components of psychological pain. RESULTS: Three classes were identified as low-risk class (68.58%) with low endorsements on the three measures, moderate-risk class (26.52%) with the elevated academic stressors, high levels of painful feelings, and high probabilities on NSSI; and high-risk class (4.90%) with the elevated combined stressors, high levels of pain avoidance, and high probabilities on SA. Compared to the moderate-risk class, adolescents in the high-risk class had a 4.97 OR of reporting NSSI, 17.98 OR of reporting SA. Pain avoidance class at baseline reported a higher probability in SA class (OR = 224.00) in a 2-year study. CONCLUSIONS: Painful feelings might be shared psychosocial correlates for NSSI and SA. However, pain avoidance may play a role in distinguishing SA from NSSI, which shed light on the intervention of adolescents who engage in self-harm behaviors.

An Analysis of the Anti-Neuropathic Effects of Qi She Pill Based on Network Pharmacology.

BACKGROUND: Qi She Pill (QSP) is a traditional prescription for the treatment of neuropathic pain (NP) that is widely used in China. However, no network pharmacology studies of QSP in the treatment of NP have been conducted to date. OBJECTIVE: To verify the potential pharmacological effects of QSP on NP, its components were analyzed via target docking and network analysis, and network pharmacology methods were used to study the interactions of its components. MATERIALS AND METHODS: Information on pharmaceutically active compounds in QSP and gene information related to NP were obtained from public databases, and a compound-target network and protein-protein interaction network were constructed to study the mechanism of action of QSP in the treatment of NP. The mechanism of action of QSP in the treatment of NP was analyzed via Gene Ontology (GO) biological process annotation and Kyoto Gene and Genomics Encyclopedia (KEGG) pathway enrichment, and the drug-like component-target-pathway network was constructed. RESULTS: The compound-target network contained 60 compounds and 444 corresponding targets. The key active compounds included quercetin and beta-sitosterol. Key targets included PTGS2 and PTGS1. The protein-protein interaction network of the active ingredients of QSP in the treatment of NP featured 48 proteins, including DRD2, CHRM, ß2-adrenergic receptor, HTR2A, and calcitonin gene-related peptide. In total, 53 GO entries, including 35 biological process items, 7 molecular function items, and 11 cell related items, were identified. In addition, eight relevant (KEGG) pathways were identified, including calcium, neuroactive ligand-receptor interaction, and cAMP signaling pathways. CONCLUSION: Network pharmacology can help clarify the role and mechanism of QSP in the treatment of NP and provide a foundation for further research.

Therapeutic effects of whole-body vibration on fracture healing in ovariectomized rats: a systematic review and meta-analysis.

OBJECTIVE: Whole-body vibration (WBV), providing cyclic mechanical stimulation, has been used to accelerate fracture healing in preclinical studies. This study aimed to summarize and evaluate the effects of WBV on bone healing in ovariectomized rat models and then analyze its potential effects on fractures in human postmenopausal osteoporosis. METHODS: PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure, VIP, SinoMed, and WanFang databases were searched from their inception date to September 2017, and an updated search was conducted in January 2018. Studies that evaluated the effects of WBV on bone healing compared with control groups in ovariectomized rats were included. Two authors selected studies, extracted data, and assessed the methodological quality. Meta-analyses were performed when the same outcomes were reported in two or more studies. RESULTS: Nine eligible studies were selected. In treatment groups, callus areas were significantly improved in the first 3 weeks, normalized total bone volume and total tissue volume values increased dramatically at 8 weeks, and the mechanical tests showed a significant difference at the end point of the study. CONCLUSIONS: This study suggested that WBV could accelerate callus formation in the early phase of bone healing, promote callus mineralization and maturity in the later phase, and restore mechanical properties of bones.

Biodegradable nanoparticles based on linoleic acid and poly(beta-malic acid) double grafted chitosan derivatives as carriers of anticancer drugs.

Novel chitosan derivatives carrying linoleic acid (LA) as hydrophobic moieties and poly(beta-malic acid) (PMLA) as hydrophilic moieties (LA/PMLA double grafted chitosan, LMC) were synthesized. It self-assembled into nanoparticles of 190-350 nm in water, which carried negative surface charges in physiological pH. The critical aggregation concentration of the LMC deceased with an increase in the LA content. Paclitaxel (PTX) was loaded into the LMC nanoparticles with a high loading efficiency and the maximum loading capacity of 9.9 +/- 0.4%. PTX-LMC nanoparticles exhibited a sustained release within 24 h in pH 7.4 phosphate-buffered saline (PBS), and the release rate was affected by the LA content and PMLA length. Hemolysis and acute toxicity assessment indicated that the LMC nanoparticles were safe drug carriers for i.v. administration. Additionally, PTX-LMC showed significantly potent tumor inhibition efficacy relative to that of TAXOL in S-180 bearing mice. Therefore, the LMC nanoparticles could be an effective and safe vehicle for systemic administration of hydrophobic drugs, especially PTX.