The theoretical foundation and scientific connotation of spirit-regulating and pain-relieving acupuncture method as well as its clinical application for pain are discussed. During spirit regulation, attention should be paid on regulating heart and brain, while acupoints should be selected mainly from the Heart Meridian, Pericardium Meridian and Governor Vessel. It has significant efficacy for refractory pain in clinical treatment. Spirit-regulating and pain-relieving acupuncture method is development of acupuncture treating spirit, and it is an important method for pain in clinic. Improvement on sensitization of pain center and brain function is considered as one of the mechanisms in spirit-regulating and pain-relieving acupuncture method.
Acupuncture Points ; Acupuncture Therapy ; history ; methods ; psychology ; China ; History, Ancient ; Humans ; Medicine in Literature ; Meridians ; Pain Management ; history ; methods ; psychology

Methods: Papers on the research of HUA prevention and treatment with medicine-food homology from December 15, 2002 to August 10, 2024 were screened and collected through China National Knowledge Infrastructure (CNKI), PubMed, ScienceDirect, and Google Scholar. Subsequently, the impact of these medications and their extracts, as well as the active compounds on HUA were assessed. Results: A total of 148 relevant papers were collected, including 43 kinds of Chinese medicines and 61 active compounds, all of which have anti-HUA activity. Among them, 41 kinds of Chinese medicines could inhibit the activity of xanthine oxidase, thus leading to the inhibition of uric acid production; and 22 kinds of Chinese medicines could facilitate uric acid excretion, while 15 kinds of Chinese medicines could reduce the inflammation levels in the body and promoting renal protection. Notably, polyphenols and flavonoids are the key active components for the uric acid-lowering effects. Conclusion This study systematically summarized and analyzed the uric acid-lowering effects and mechanisms of Chinese medicines with medicine-food homology, laying a foundation for their development as HUA agents.

Purpose:Taking tuberculosis as an example, this paper aims at to analyzing the level of reimburse-ment for infectious diseases care, and clarifying the government responsibility. Methods:In order to achieve the ob-jective of this research, UHC framework was used to analyze the security level. Result:The findings of this research reveal that TB in-patients' Compensation Ratio of the New Cooperative Medical Scheme ( NCMS) was lower than aver-age level of all the NCMS patients, the out-patients' was even lower. The categories of anti-tuberculotic for free was limited, the utilization was not as expected. Medical assistance covered few people in spite of its high level of reim-bursement. Conclusion:Based on the findings of this review, it has been revealed that the medical insurance didn't make a big difference in financial protection for patients with infectious diseases. As the treatment for of infectious diseases is a quasi-public good, the government has to shoulder the responsibility of improving the compensation ratio of the patients.

BACKGROUND:Cellular senescence is closely related to the development and progression of osteoarthritis,but the specific targets and regulatory mechanisms are not yet clear. OBJECTIVE:To mine key genes in cellular senescence-mediated osteoarthritis by integrating bioinformatics and machine learning approaches and validate them via experiments to explore the role of cellular senescence in osteoarthritis. METHODS:The osteoarthritis gene expression profiles obtained from the GEO database were intersected with cellular senescence-related genes obtained from the CellAge database and the expression of the intersected genes was extracted for differential analysis,followed by GO and KEGG analysis of the differential genes.The key osteoarthritis cellular senescence genes were then screened by protein-protein interaction network analysis and machine learning,and in vitro cellular experiments were performed.Finally,the expression of the key genes was detected by qPCR. RESULTS AND CONCLUSION:A total of 31 osteoarthritis cell senescence differential genes were identified.GO analysis showed that these genes were mainly involved in the biological processes,such as regulation of leukocyte differentiation,monocyte differentiation,regulation of T cell differentiation and exerted roles in DNA transcription factor binding,histone deacetylase binding,chromatin DNA binding,and chemokine binding.KEGG analysis showed that osteoarthritis cell senescence differential genes were mainly activated in the JAK/STAT signaling pathway,PI3K/Akt signaling pathway and FoxO signaling pathway.MYC,a key gene for osteoarthritis cellular senescence,was identified by protein-protein interaction network topology analysis and machine learning methods.The results of the in vitro cellular assay showed that the mRNA expression of MYC was significantly lower in the experimental group(osteoarthritis group)than the control group(normal group)(P＜0.05).To conclude,MYC can be a key gene in the senescence of osteoarthritic cells and may be a new target in the prevention and treatment of osteoarthritis by mediating immune response,inflammatory response and transcriptional regulation.

ObjectiveTo investigate the value of MELD 3.0， MELD， and MELD-Na scores in assessing the 90-day prognosis of patients with acute-on-chronic liver failure （ACLF） through a comparative study. MethodsA retrospective analysis was performed for the clinical data of 605 patients with ACLF who were treated in Tianjin Third Central Hospital， The Fifth Medical Center of Chinese PLA General Hospital， and Beijing YouAn Hospital from November 2012 to June 2019， and according to the 90-day follow-up results after admission， they were divided into survival group with 392 patients and death group with 213 patients. The receiver operating characteristic （ROC） curve， the area under the ROC curve （AUC）， net reclassification improvement （NRI）， integrated discrimination improvement （IDI）， and decision curve analysis （DCA） curve were used to investigate the value of MELD 3.0， MELD， and MELD-Na scores at baseline， day 3， week 1， and week 2 in predicting the prognosis of the disease. ResultsAt day 3 and week 1， MELD 3.0 score had an AUC of 0.775 and 0.808， respectively， with a better AUC than MELD score （P<0.05）. At day 3， week 1， and week 2， MELD 3.0 score showed an NRI of 0.125， 0.100， and 0.081， respectively， compared with MELD in predicting the prognosis of ACLF patients， as well as an NRI of 0.093， 0.140， and 0.204， respectively， compared with MELD-Na score in predicting prognosis. At baseline， day 3， week 1， and week 2， MELD 3.0 showed an IDI of 0.011， 0.025， 0.017， and 0.013， respectively， compared with MELD in predicting the prognosis of ACLF patients. At day 3 and week 2， MELD 3.0 showed an IDI of 0.027 and 0.038， respectively， compared with MELD-Na in predicting the prognosis of ACLF patients. All the above NRIs and IDIs were >0， indicating a positive improvement （all P<0.05）. DCA curves showed that MELD 3.0 was superior to MELD at day 3 and was significantly superior to MELD-Na at week 2. There was no significant difference in the ability of the three scores in predicting the prognosis of ACLF patients with different types， and there was also no significant difference in the ability of the three scores in predicting the prognosis of ACLF patients with the etiology of HBV infection， alcohol， or HBV infection combined with alcohol， while MELD 3.0 was superior to MELD for ACLF patients with other etiologies （P<0.05）. ConclusionMELD 3.0 score is better than MELD and MELD-Na scores in predicting the 90-day survival of patients with ACLF， but with limited superiority.