Aquaporin 5(AQP5)is a specific protein that can significantly increase the water permeability of cell membrane,partici-pate in the process of water secretion and absorption,maintain the balance of water molecules inside and outside the cell,and transport water across the membrane.Programmed cell death(PCD)is closely associated with the development and progression of Sj?gren's syn-drome(SS).AQP5 may influence the development and progression of SS by regulating the PCD mechanism.This article reviews the mo-lecular mechanisms of AQP5 in regulating the apoptosis,pyroptosis,autophagy,and ferroptosis of cells in recent years and discusses the potential influence of AQP5 on SS,in order to provide a theoretical basis for the clinical prevention and treatment of SS.

Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.

Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.

OBJECTIVE： To optimize the integrated processing technology for “precise decoction pieces” of Helianthus annuus. METHODS： The contents of total flavonoids and total protein in H. annuus were determined by UV spectrophotometry with rutin and bovine serum albumin as control. Refering to Chinese Pharmacopoeia， the contents of water soluble extract， dilute ethanol extracts and ethyl acetate extract were determined. Based on the different needs such as maintaining quality consistency with the original medicinal materials， preference for anti-gout treatment， preference for liver calming and pain relief， using the contents of total flavonoids， total protein and 3 kinds of polar extract as indexes， gray correlation method was used to optimize the integrated processing technology of 3 kinds of “precise decoction pieces” of H. annuus. RESULTS： Gray correlation analysis showed that the ideal sample sequence of decoction pieces in massive shape dried at 60 ℃ with the original medicinal materials and decoction pieces with preference use of liver calming and pain relief was the most relevant； the ideal sample sequence of ideal sample sequence of decoction pieces in massive shape dried in the shade with decoction pieces with clinical application preference of anti-gout therapy was the most relevant. CONCLUSIONS： Different integrated processing technology for “precise decoction pieces” of H. annuus can be adopted for different needs. If it is necessary to keep the quality consistent with the original medicinal materials or to prepare H. annuus decoction pieces for liver calming and pain relieving， medicinal material can be cut into massive shape and dried at 60 ℃； if it is necessary to prepare H. annuus decoction pieces for anti-gout treatment， cutting into massive shape and drying in the shade can be adopted.

OBJECTIVE: To compare the effect of 7 antipsychotic drugs on the life quality of schizophrenia patients including chlorpromazine, sulpiride, clozapine, risperidone, olanzapine, quetiapine, and aripiprazole. METHODS: A total of 1,227 stable schizophrenic patients within 5 years onset who took 1 of the 7 study medications as maintenance treatment were followed up for 1 year at 10 China sites. Patients were evaluated by the short form-36 health survey (SF-36) at the baseline and at the end of 1 year. RESULTS: The life quality was improved obviously at the end of the follow-up. There was significant difference in body pain, vitality, and mental health (P<0.05) among these antipsychotic drugs. CONCLUSION All 7 antipsychotic drugs can improve the life quality of schizophrenia patients. Atypical antipsychotic drugs, especially olazapine and quetiapine, are superior to typical antipsychotic drugs in improving life quality.
Adolescent ; Adult ; Antipsychotic Agents ; therapeutic use ; Benzodiazepines ; therapeutic use ; Dibenzothiazepines ; therapeutic use ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Olanzapine ; Quality of Life ; Quetiapine Fumarate ; Schizophrenia ; drug therapy ; Surveys and Questionnaires ; Young Adult