Objective:To explore the mechanism that leads to the formation of medical insurance fraud,in order to propose countermeasures and suggestions for preventing medical insurance fraud.Methods:Taking 30 provinces and cities in China as research objects,Fuzzy-Set Qualitative Comparative Analysis and Necessary Condition Analysis are applied to explore the configuration paths that lead to medical insurance fraud.Results:A single factor does not constitute a necessary condition for a high incidence of Medicare insurance fraud.There are four grouping paths that lead to a high incidence of Medicare insurance fraud,namely,the dominant factor of poor medical insurance operation status,the dual auxiliary factor of low informationization level and weak regulatory mechanism under the dominant status of poor medical insurance operation,the auxiliary pathway of low economic level under the dual dominance factors of poor medical insurance operation and low informationization level,and the three dominant factors of poor medical insurance operation as well as weak regulatory mechanism and low economic level.Conclusion:Medical insurance fraud is caused by multiple factors,therefore the following prevention strategies are proposed,focusing on rectifying and breaking through difficult problems,strengthening regulatory effectiveness through departmental linkage,enhancing regulatory accuracy through technological empowerment,and improving long-term mechanisms by addressing both symptoms and root causes.

Alzheimer's disease(AD), a neurodegenerative disorder associated with aging, is the most prevalent form of dementia.As the aging population continues to expand, AD presents significant health and caregiving challenges for families and society, making it a pressing international public health concern.In recent years, numerous countries have implemented dementia prevention and treatment strategies that emphasize community-based comprehensive approaches.Currently, the community-based AD prevention and treatment model in China is still in the exploratory phase, with community efforts lacking organization.In alignment with China's action plan for advancing dementia prevention and treatment, and to achieve the strategic objective of "healthy aging, " this consensus is based on the principle of three-level prevention and is tailored to the characteristics of AD disease progression.It aims to develop a comprehensive prevention and treatment strategy for AD that is suitable for communities in China, providing technical guidance and support to establish a scientific basis for formulating community AD prevention and treatment models.

Dysregulation of p53 and phosphoinositide (PIPn) signaling are both key drivers of oncogenesis and metastasis. Our recent findings reveal a previously unrecognized interaction between these pathways, converging in the nucleus to form a PIPn-p53 signalosome that modulates nuclear AKT activation and downstream signaling, thereby influencing cancer cell survival and motility. This review examines recent insights into nuclear PIPn signaling in the context of established roles for p53 in cell dynamics and migration while also deliberating current research on how nuclear PIPns interact with p53 to form signalosomes that affect cell motility. We emphasize the critical role of PIPns in stabilizing p53 and activating de novo nuclear AKT signaling, which subsequently modulates key motility-related pathways. Understanding the unique operation and function of the PIPn-p53 signalosome in nuclear phosphatidylinositol 3-kinase (PI3K)-AKT activation offers novel therapeutic strategies for controlling cancer metastasis by targeting pertinent interactions and events.
Humans ; Tumor Suppressor Protein p53/metabolism* ; Signal Transduction ; Cell Movement ; Cell Nucleus/metabolism* ; Phosphatidylinositols/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Animals ; Neoplasms/pathology* ; Phosphatidylinositol 3-Kinases/metabolism*

Objective:To analyze the relationship between cuprotosis-realted gene DLD expression in pan-cancer and progno-sis,tumor microenvironment and tumor immune infiltration by bioinformatics methods combined with multiple databases.Methods:TCGA,GTEx,TISDB,GEO,UCSC,TARGET,TIMER2.0,GEPIA2,SangerBox,PrognoScan and related R software packages were used to analyze the difference of DLD expression between human cancer and adjacent normal tissues,inestigate relationship between prognosis,explore expression of DLD in different immune subtypes and molecular subtypes of human cancer,analyze correlation between DLD expression and tumor immune infiltration and tumor microenvironment,detecet relationship between DLD expression and 60 immune checkpoint genes.Results:There were differences in expression of DLD in different tumor tissues;low DLD expression in 6 tumors and high DLD expression in 3 tumors were significantly associated with better prognosis;15 tumor immune subtypes,11 molecular subtypes of tumors were significantly correlated with DLD expression;DLD expression was significantly correlated with immune infiltration in 37 cancer types;DLD expression was significantly associated with immune infiltration in 23 tumor stroma scores,26 tumor immune scores and 25 tumor ESTIMATE scores;60 immune checkpoint genes in 39 tumors were significantly associated with DLD expression.Conclusion:Expression of DLD in pan-cancer is related to tumor prognosis and immune invasion,DLD may be a potential predictor of prognosis in tumors,and may be an immunomodulator of tumors.

Objective:To explore the mechanism that leads to the formation of medical insurance fraud,in order to propose countermeasures and suggestions for preventing medical insurance fraud.Methods:Taking 30 provinces and cities in China as research objects,Fuzzy-Set Qualitative Comparative Analysis and Necessary Condition Analysis are applied to explore the configuration paths that lead to medical insurance fraud.Results:A single factor does not constitute a necessary condition for a high incidence of Medicare insurance fraud.There are four grouping paths that lead to a high incidence of Medicare insurance fraud,namely,the dominant factor of poor medical insurance operation status,the dual auxiliary factor of low informationization level and weak regulatory mechanism under the dominant status of poor medical insurance operation,the auxiliary pathway of low economic level under the dual dominance factors of poor medical insurance operation and low informationization level,and the three dominant factors of poor medical insurance operation as well as weak regulatory mechanism and low economic level.Conclusion:Medical insurance fraud is caused by multiple factors,therefore the following prevention strategies are proposed,focusing on rectifying and breaking through difficult problems,strengthening regulatory effectiveness through departmental linkage,enhancing regulatory accuracy through technological empowerment,and improving long-term mechanisms by addressing both symptoms and root causes.

Objective:To analyze the relationship between cuprotosis-realted gene DLD expression in pan-cancer and progno-sis,tumor microenvironment and tumor immune infiltration by bioinformatics methods combined with multiple databases.Methods:TCGA,GTEx,TISDB,GEO,UCSC,TARGET,TIMER2.0,GEPIA2,SangerBox,PrognoScan and related R software packages were used to analyze the difference of DLD expression between human cancer and adjacent normal tissues,inestigate relationship between prognosis,explore expression of DLD in different immune subtypes and molecular subtypes of human cancer,analyze correlation between DLD expression and tumor immune infiltration and tumor microenvironment,detecet relationship between DLD expression and 60 immune checkpoint genes.Results:There were differences in expression of DLD in different tumor tissues;low DLD expression in 6 tumors and high DLD expression in 3 tumors were significantly associated with better prognosis;15 tumor immune subtypes,11 molecular subtypes of tumors were significantly correlated with DLD expression;DLD expression was significantly correlated with immune infiltration in 37 cancer types;DLD expression was significantly associated with immune infiltration in 23 tumor stroma scores,26 tumor immune scores and 25 tumor ESTIMATE scores;60 immune checkpoint genes in 39 tumors were significantly associated with DLD expression.Conclusion:Expression of DLD in pan-cancer is related to tumor prognosis and immune invasion,DLD may be a potential predictor of prognosis in tumors,and may be an immunomodulator of tumors.

Alzheimer's disease(AD), a neurodegenerative disorder associated with aging, is the most prevalent form of dementia.As the aging population continues to expand, AD presents significant health and caregiving challenges for families and society, making it a pressing international public health concern.In recent years, numerous countries have implemented dementia prevention and treatment strategies that emphasize community-based comprehensive approaches.Currently, the community-based AD prevention and treatment model in China is still in the exploratory phase, with community efforts lacking organization.In alignment with China's action plan for advancing dementia prevention and treatment, and to achieve the strategic objective of "healthy aging, " this consensus is based on the principle of three-level prevention and is tailored to the characteristics of AD disease progression.It aims to develop a comprehensive prevention and treatment strategy for AD that is suitable for communities in China, providing technical guidance and support to establish a scientific basis for formulating community AD prevention and treatment models.

Objective:To investigate the protective effects and mechanism of Shenyan 1 Prescription on renal fibrosis of unilateral ureteral obstruction (UUO) rats through TGF- β 1/Smad homologous 3 (Smad3) pathway regulating ferroptosis.Methods:Totally 48 male SD rats were divided into four groups: sham-operation group, UUO model group, and Shenyan 1 Prescription low-(10 drug/kg) , and high-dosage (20 crude drug/kg) groups according to random number table method, with 12 rats in each group. The UUO model was induced by the method of unilateral ureteral obstruction except for those sham-operation group. After modeling, rats received corresponding drugs or normal saline by gavage for 4 weeks, once per day. After 4 weeks, the body mass and the left kidney weight were measured. The 24 h urine protein and the levels of serum albumin (ALB), alanine aminotransferase (ALT), serum creatinine (SCr) and blood urea nitrogen (BUN) were detected by biochemical analysis method; the ROS level in renal tissue was measured using a chemical fluorescence assay kit, and the SOD and MDA levels in left renal tissue of rats were measured using ELISA method; the morphology of renal tissue and the specific blue staining of hemosiderin were observed using HE and Prussian blue staining methods, respectively; the expressions of transforming growth factor-β1 (TGF-β1), Smad3, glutathione peroxidase 4 (GPX4), and solute carrier family 1 member 5 (SLC1A5) were detected by Western blot.Results:Compared with the model group, the 24 h urinary protein excretion in Shenyan 1 Prescription high-dosage group decreased ( P<0.05), the serum ALB level increased ( P<0.05), the ALT level decreased ( P<0.05), and the expression of SLC1A5 in renal tissue decreased ( P<0.05); the left kidney weight/body decreased in Shenyan 1 Prescription low- and high-dosage groups ( P<0.05); the levels of serum ROS and MDA decreased ( P<0.05), and the activity of SOD significantly increased ( P<0.05); the expressions of TGF-β1 and Smad3 in renal tissue decreased ( P<0.05), and the expression of GPX4 increased ( P<0.05), and the renal pathological injury and ion deposition were improved. Conclusion:Shenyan 1 Prescription has a protective effect on the structure and function of renal tissues in UUO rats through regulating ferroptosis via inhibition of the TGF-β1/ Smad3 pathway to inhibit renal fibrosis of UUO rats.

The standardized workflow of computer-aided static guided implant surgery includes preoperative exami-nation,data acquisition,guide design,guide fabrication and surgery.Errors may occur at each step,leading to irrevers-ible cumulative effects and thus impacting the accuracy of implant placement.However,clinicians tend to focus on fac-tors causing errors in surgical operations,ignoring the possibility of irreversible errors in nonstandard guided surgery.Based on the clinical practice of domestic experts and research progress at home and abroad,this paper summarizes the sources of errors in guided implant surgery from the perspectives of preoperative inspection,data collection,guide de-signing and manufacturing and describes strategies to resolve errors so as to gain expert consensus.Consensus recom-mendation:1.Preoperative considerations:the appropriate implant guide type should be selected according to the pa-tient's oral condition before surgery,and a retaining screw-assisted support guide should be selected if necessary.2.Da-ta acquisition should be standardized as much as possible,including beam CT and extraoral scanning.CBCT performed with the patient's head fixed and with a small field of view is recommended.For patients with metal prostheses inside the mouth,a registration marker guide should be used,and the ambient temperature and light of the external oral scan-ner should be reasonably controlled.3.Optimization of computer-aided design:it is recommended to select a handle-guided planting system and a closed metal sleeve and to register images by overlapping markers.Properly designing the retaining screws,extending the support structure of the guide plate and increasing the length of the guide section are methods to feasibly reduce the incidence of surgical errors.4.Improving computer-aided production:it is also crucial to set the best printing parameters according to different printing technologies and to choose the most appropriate postpro-cessing procedures.

Opioid analgesics are currently known as the best analgesics. However， toxicity and side effects such as constipation， tolerance and addiction severely limit their clinical application. With the in-depth understanding of the signal transduction mechanism of opioid receptors and the continuous advancement of drug design technology， researchers have managed to develop many promising new methods to get low-toxic and more efficient opioid analgesics， which are different from the traditional morphine skeleton structure modifications. This article focuses on three new research strategies of G-protein biased activation，“ one drug-multiple targets” and peripheral activation. The basic principles of relative separation of analgesic activity and adverse drug reaction by each strategy are introduced， and the latest research progress of representative drugs is briefly reviewed. Among them， the recently approved novel opioid analgesics oliceridine and tegileridine are G-protein biased μ-opioid receptor agonists， Cebranopadol is a typical “one drug-multiple targets” analgesic， and NFEPP is a representative drug of peripheral opioid receptor agonists. The above several strategies complement each other and provide reference for the development of new opioid analgesic drugs.