ObjectiveTo develop a full-process data platform of renal rehabilitation, diagnosis and quality control information. MethodsA hierarchical architectural design was proposed, adhering to clinical pathway models and standardized data protocols. The platform comprehensively covered assessment, intervention, follow-up and quality control for maintenance hemodialysis (MHD) patients. By integrating multidisciplinary resources and standardizing rehabilitation workflows, it delivered standardized and intelligent rehabilitation services. ResultsThe platform achieved standardized and intelligent management of rehabilitation services, effectively improved the physiological function, psychological state and quality of life convenience for MHD patients, while significantly reduced the economic and care burden on patients' families and society. ConclusionThe rehabilitation service model based on a full-process data platform may provide scientific and systematic support for MHD patients.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

BACKGROUND:Epidemiological studies indicate that individuals with neurodegenerative diseases exhibit a comparatively lower risk of developing the majority of cancers.Although the precise mechanisms underlying this inverse correlation remain unclear,it is noteworthy that aberrant glucose metabolism,a pathological factor common to both conditions,may significantly contribute to this association.OBJECTIVE:To review the potential relationship between cancers and neurodegenerative diseases in glucose metabolism.METHODS:PubMed was searched for relevant literature using the search terms of"cancer,neurodegenerative diseases,Alzheimer's disease,Parkinson's disease,metabolic reprogramming,glucose metabolism,aerobic glycolysis,neuroprotection,aging,"and 136 articles were finally included for analysis.RESULTS AND CONCLUSION:Cancer and neurodegenerative diseases exhibit a profound pathological correlation at the level of glucose metabolism imbalance associated with aging.Cancer cells promote uncontrolled proliferation,invasion,and metastasis through the persistent activation of aerobic glycolysis,whereas neurodegenerative diseases are characterized by a reduction in aerobic glycolysis.Restoring aerobic glycolysis may confer neuroprotective effects and delay disease progression.The key nodes of glucose metabolism demonstrate a bidirectional regulatory pattern:metabolic regulators,which are significantly upregulated or aberrantly activated in cancer,are inhibited or functionally inactivated in neurodegenerative diseases.Mitochondria play a crucial role in mediating the aging process through the regulation of reactive oxygen species homeostasis and mitochondrial autophagy.They establish regulatory networks that connect cancer and neurodegenerative diseases,and maintaining their functional homeostasis is of paramount importance for disease prevention and treatment.

BACKGROUND:Epidemiological studies indicate that individuals with neurodegenerative diseases exhibit a comparatively lower risk of developing the majority of cancers.Although the precise mechanisms underlying this inverse correlation remain unclear,it is noteworthy that aberrant glucose metabolism,a pathological factor common to both conditions,may significantly contribute to this association.OBJECTIVE:To review the potential relationship between cancers and neurodegenerative diseases in glucose metabolism.METHODS:PubMed was searched for relevant literature using the search terms of"cancer,neurodegenerative diseases,Alzheimer's disease,Parkinson's disease,metabolic reprogramming,glucose metabolism,aerobic glycolysis,neuroprotection,aging,"and 136 articles were finally included for analysis.RESULTS AND CONCLUSION:Cancer and neurodegenerative diseases exhibit a profound pathological correlation at the level of glucose metabolism imbalance associated with aging.Cancer cells promote uncontrolled proliferation,invasion,and metastasis through the persistent activation of aerobic glycolysis,whereas neurodegenerative diseases are characterized by a reduction in aerobic glycolysis.Restoring aerobic glycolysis may confer neuroprotective effects and delay disease progression.The key nodes of glucose metabolism demonstrate a bidirectional regulatory pattern:metabolic regulators,which are significantly upregulated or aberrantly activated in cancer,are inhibited or functionally inactivated in neurodegenerative diseases.Mitochondria play a crucial role in mediating the aging process through the regulation of reactive oxygen species homeostasis and mitochondrial autophagy.They establish regulatory networks that connect cancer and neurodegenerative diseases,and maintaining their functional homeostasis is of paramount importance for disease prevention and treatment.

According to the work goals and tasks determined by edition outline of the Chinese Pharmacopoeia 2025 Edition, the Chinese Pharmacopoeia 2025 has been completed. Among them, 52 new pharmaceutical excipients monographs have been added, and the total number has reached 387. 245 pharmaceutical excipients monographs have been revised, of which 109 monographs have only textual revisions and 136 monographs have substantive revisions. This article focuses on the general framework and the main characteristics of the standards of pharmaceutical excipients in the Chinese Pharmacopoeia 2025, which can contribute to accurately understand and utilize the standards in Chinese Pharmacopoeia.

According to the work goals and tasks determined by edition outline of the Chinese Pharmacopoeia 2025 Edition, the Chinese Pharmacopoeia 2025 Edition has been completed. Among them, 52 new pharmaceutical excipients monographs have been added, an increase of 15.5% compared with the 2020 Edition, and the total number has reached 387. This article focuses on the general framework and the main characteristics of the standards of pharmaceutical excipients in the Chinese Pharmacopoeia 2025 Edition, which can contribute to accurately understand and utilize the standards in Chinese Pharmacopoeia.

According to the work goals and tasks determined by edition outline of the Chinese Pharmacopoeia 2025 Edition,the Chinese Pharmacopoeia 2025 has been completed.Among them,52 new pharmaceutical excipients monographs have been added,and the total number has reached 387.245 pharmaceutical excipients monographs have been revised,of which 109 monographs have only textual revisions and 136 monographs have substantive revi-sions.This article focuses on the general framework and the main characteristics of the standards of pharmaceutical excipients in the Chinese Pharmacopoeia 2025,which can contribute to accurately understand and utilize the stand-ards in Chinese Pharmacopoeia.

According to the work goals and tasks determined by edition outline of the Chinese Pharmacopoeia 2025 Edition,the Chinese Pharmacopoeia 2025 Edition has been completed.Among them,52 new pharmaceutical excip-ients monographs have been added,an increase of 15.5%compared with the 2020 Edition,and the total number has reached 387.This article focuses on the general framework and the main characteristics of the standards of pharmaceutical excipients in the Chinese Pharmacopoeia 2025 Edition,which can contribute to accurately under-stand and utilize the standards in Chinese Pharmacopoeia.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To explore the factors affecting the coefficient of variation(CV)of glucose in type 2 diabetes mellitus(T2DM)patients based on real-time dynamic glucose monitoring system.Methods A total of 354 patients with T2DM hospitalized in the Department of Endocrinology of Jiangsu Shengze Hospital were enrolled in this study from March 2023 to March 2024 and divided into two groups:the glycemic variability(GV,CV>36%)group(n=118)and the glucose stable(GS,CV≤36%)group(n=236).The clinical data of the two groups were compared,and the influencing factors for CV>36%were analyzed.Results The DM duration and HbA1c were higher(P<0.05),while BMI,visceral fat area,subcutaneous fat area(SFA),FC-P,serum uric acid(SUA),and TG were lower in the GV group than in the GS group(P<0.05).Spearman correlation analysis showed that CV was positively correlated with diabetes duration and HbA1c(P<0.05),and negatively correlated with FC-P,SFA and SUA(P<0.05).Logistic regression analysis showed that DM duration,HbA1c,SFA,FC-P and SUA were the influencing factors for GV.Scatter plot analysis showed that there was a linear trend between CV level and log HbA1c and log SFA in T2DM patients.CV level increased with the increase of log HbA1c,and decreased with the increase of log SFA.ROC curve analysis showed that the area under the curve(AUC)of FC-P was 0.703(95%CI:0.640～0.765,P<0.001)for predicting GV in T2DM patients,and the cut-off value was 1.095 ng/ml.The AUC of SUA was 0.622(95%CI:0.555～0.688,P<0.001)for predicting GV,and the cut-off value was 280.5 μmol/L.Conclusions The DM duration,HbA1c,SFA,FC-P and SUA are important factors for GV,and FC-P and SUA have predictive value for GV.