OBJECTIVE To explore comprehensive management and potential issues associated with long-term prescriptions medications of psychiatry， in order to provide a reference for the comprehensive management of long-term prescriptions of psychiatry in psychiatric hospitals and other medical institutions’ pharmacies. METHODS Starting from the applicable principles for long-term prescriptions of psychiatry， this study introduced the standardized assessment and precautions before issuing long-term prescriptions， the formulation and adjustment of the drug list， as well as the rational management of the long-term prescriptions. It also analyzed potential issues that may arise in the comprehensive management of long-term prescription medications and proposed corresponding countermeasures and suggestions. RESULTS & CONCLUSIONS Prior to initiating long-term prescriptions， a standardized assessment should be conducted on patients from the aspects of their psychiatric condition and long-term potential risk factors， pharmacological treatment plans and other non-pharmacological therapies， physical illnesses. Additionally， healthcare providers should fulfill their obligation to inform patients or their family members. The comprehensive management of long-term prescription medications should be jointly established and improved by multiple departments， and the formulation of drug catalogs should avoid including drugs with potential social harm or medication risks while complying with policy requirements. Furthermore， measures such as adding special identifiers to long-term prescriptions， providing patients with reminders about （No.YGLX202537） prescription expiration， or offering online consultations can also effectively enhance the rationality of medication use under long-term prescriptions. Currently， the implementation of long-term prescriptions in psychiatry remains challenged by inconsistencies in prescription duration， incomplete coverage of diagnostic categories， poor patient adherence， and the risk of deviation in clinical assessments. In this regard， measures such as collaborating with multiple departments to strengthen long-term prescription information management， providing matching pharmaceutical services， ensuring the quality and rationality of long-term prescription implementation， and using modern methods to screen high-risk patients can be taken to improve patient medication compliance and safety.

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

Objectives:To analyze the epidemiological characteristics and incidence trends of chronic hepatitis B in Shenzhen from 2005 to 2023, develop a prediction models with performance evaluation, explore its associations with social demographic index (SDI) and inform targeted prevention strategy development.Methods:Based on surveillance data of infectious diseases, descriptive epidemiological methods were applied to analyze the spatiotemporal and population distribution characteristics. A multifactorial prediction model integrating the SDI was established, and its predictive performance was evaluated by using data from 2020-2023. Model accuracy was evaluated by using root mean square error and mean absolute percentage error ( MAPE). The association between SDI and incidence rates was assessed through generalized linear models. Results:A total of 235 703 chronic hepatitis B cases were reported cumulatively in Shenzhen from 2005-2023, with an annual average incidence rate of 98.84/100 000. Long-term trends revealed a significant increase in the incidence from 2005 to 2019. The incidence rate was 2.48 times higher in men than in women, and the majority of cases occurred in age group 20-50 years. The cases were mainly workers in manufacturing and services. Seasonal incidence peaks were observed in March and during May to November. The overall SDI exhibited a consistent upward trend, and the positive correlation between SDI and incidence rate was observed in central urban districts (Futian and Nanshan). In contrast, industrial zones (Guangming and Bao'an) saw a significant decline in incidence rates due to intensified prevention interventions despite the increase of SDI level. Model predictions indicated that the multivariate long short-term memory (LSTM) deep learning model integrating SDI parameters outperformed both the spatiotemporal covariate- enhanced model and the augmented Bayesian structural time series model, with MAPE of 4.71%, 7.66% and 10.30%, respectively. Conclusion:SDI is a key social determinant associated with hepatitis B transmission risks, and dynamic thresholds can be established to develop tiered early warning mechanisms. It is suggested to integrate multisource SDI data into the LSTM framework, implement targeted interventions such as "rapid antibody screening in key areas + vaccination boosters for high-risk populations" and improve the timeliness of epidemic response through hybrid models to reduce disease burden level.

Objectives:To analyze the epidemiological characteristics and incidence trends of chronic hepatitis B in Shenzhen from 2005 to 2023, develop a prediction models with performance evaluation, explore its associations with social demographic index (SDI) and inform targeted prevention strategy development.Methods:Based on surveillance data of infectious diseases, descriptive epidemiological methods were applied to analyze the spatiotemporal and population distribution characteristics. A multifactorial prediction model integrating the SDI was established, and its predictive performance was evaluated by using data from 2020-2023. Model accuracy was evaluated by using root mean square error and mean absolute percentage error ( MAPE). The association between SDI and incidence rates was assessed through generalized linear models. Results:A total of 235 703 chronic hepatitis B cases were reported cumulatively in Shenzhen from 2005-2023, with an annual average incidence rate of 98.84/100 000. Long-term trends revealed a significant increase in the incidence from 2005 to 2019. The incidence rate was 2.48 times higher in men than in women, and the majority of cases occurred in age group 20-50 years. The cases were mainly workers in manufacturing and services. Seasonal incidence peaks were observed in March and during May to November. The overall SDI exhibited a consistent upward trend, and the positive correlation between SDI and incidence rate was observed in central urban districts (Futian and Nanshan). In contrast, industrial zones (Guangming and Bao'an) saw a significant decline in incidence rates due to intensified prevention interventions despite the increase of SDI level. Model predictions indicated that the multivariate long short-term memory (LSTM) deep learning model integrating SDI parameters outperformed both the spatiotemporal covariate- enhanced model and the augmented Bayesian structural time series model, with MAPE of 4.71%, 7.66% and 10.30%, respectively. Conclusion:SDI is a key social determinant associated with hepatitis B transmission risks, and dynamic thresholds can be established to develop tiered early warning mechanisms. It is suggested to integrate multisource SDI data into the LSTM framework, implement targeted interventions such as "rapid antibody screening in key areas + vaccination boosters for high-risk populations" and improve the timeliness of epidemic response through hybrid models to reduce disease burden level.

Objective:This study aims to analyze the threshold changes in distortion product otoacoustic emissions（DPOAE） and auditory brainstem response（ABR） in adult Otof-/- mice before and after gene therapy, evaluating its effectiveness and exploring methods for assessing hearing recovery post-treatment. Methods:At the age of 4 weeks, adult Otof-/- mice received an inner ear injection of a therapeutic agent containing intein-mediated recombination of the OTOF gene, delivered via dual AAV vectors through the round window membrane（RWM）. Immunofluorescence staining assessed the proportion of inner ear hair cells with restored otoferlin expression and the number of synapses.Statistical analysis was performed to compare the DPOAE and ABR thresholds before and after the treatment. Results:AAV-PHP. eB demonstrates high transduction efficiency in inner ear hair cells. The therapeutic regimen corrected hearing loss in adult Otof-/- mice without impacting auditory function in wild-type mice. The changes in DPOAE and ABR thresholds after gene therapy are significantly correlated at 16 kHz. Post-treatment,a slight increase in DPOAE was observeds,followed by a recovery trend at 2 months post-treatment. Conclusion:Gene therapy significantly restored hearing in adult Otof-/- mice, though the surgical delivery may cause transient hearing damage. Precise and gentle surgical techniques are essential to maximize gene therapy's efficacy.
Mice ; Animals ; Otoacoustic Emissions, Spontaneous/physiology* ; Hearing/physiology* ; Ear, Inner ; Hearing Loss/therapy* ; Genetic Therapy ; Auditory Threshold/physiology* ; Evoked Potentials, Auditory, Brain Stem/physiology* ; Membrane Proteins

Malignant tumors have surpassed stroke and coronary heart disease to become the main cause of death before the age of 70 in the world. The incidence of malignant tumors is increasing year by year， which seriously affects the living standards and social and economic development of Chinese people. Surgery， radiotherapy， chemotherapy， targeted therapy， and immunotherapy are the main means of Western medicine to intervene in tumors， which are of great significance for prolonging the survival time of patients. However， there are many disadvantages such as adverse reactions and drug resistance. Traditional Chinese medicine has become a research hotspot in recent years because of its definite curative effect and wide application in tumor treatment. Xiao Chaihutang is derived from the Treatise on Febrile and Miscellaneous Diseases. It is composed of Bupleuri Radix， Scutellariae Radix， Ginseng Radix， Pinelliae Rhizoma， Glycyrrhizae Preparata Radix， Ginger， and Jujube. It has the effects of reconciling Shaoyang， reconciling cold and heat Yin and Yang， soothing the liver， and relieving depression. This prescription and the prescriptions based on it are widely used in various stages of tumors. This study summarized the Chinese and foreign research of Xiao Chaihutang in the field of tumors in the past 10 years and explored the role and mechanism of Xiao Chaihutang in blocking precancerous lesions， controlling the development of malignant tumors， reducing the occurrence of adverse reactions after intervention， and alleviating common complications， with a view to expanding the clinical medication ideas.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

With the rapid aging of the global population posing a serious problem, frailty, a non-specific state that reflects physiological senescence rather than aging in time, has become more widely addressed by researchers in various medical fields. A high prevalence of frailty is found among kidney transplant (KT) candidates and recipients. Therefore, their frailty has become a research hotspot in the field of transplantation. However, current studies mainly focus on the cross-sectional survey of the incidence of frailty among KT candidates and recipients and the relationship between frailty and transplantation. Research on the pathogenesis and intervention is scattered, and relevant review literature is scarce. Exploring the pathogenesis of frailty in KT candidates and recipients and determining effective intervention measures may reduce waiting list mortality and improve the long-term quality of life of KT recipients. Therefore, this review explains the pathogenesis and intervention measures for frailty in KT candidates and recipients to provide a reference for the formulation of effective intervention strategies.
Humans ; Frailty/epidemiology* ; Risk Factors ; Quality of Life ; Kidney Failure, Chronic ; Kidney Transplantation/adverse effects* ; Cross-Sectional Studies ; Transplant Recipients

Objective:To investigate the relationship between caspase recruitment domain protein 9 (CARD9) level and inflammatory response in cerebral tissue of ischemic brain injury mice.Methods:Totally 24 SPF BALB/c male mice were randomly(random number) divided into 4 groups: sham operated group, ischemia 3 h group, ischemia 6 h group, and ischemia 12 h group, 6 mice in each group. The permanant middle cerebral artery occlusion (pMCAO) model in the ischemia groups was established by using line embolism to block blood flow. Mice in each group were sacrificed at the predetermined time point after operation. CARD9 and p-p65NF-κB levels were detected by Western blot, and the inflammatory factors mRNA and protein including TNF-ɑ, IL-lβ and IL-6 were detected by RT-PCR and ELISA, respectively. The data were analyzed by SPSS 21.0 software, the comparison of measurement data between each two groups was analyzed by independent sample t test, and the correlations between CARD9 and inflammatory factors were analyzed by Pearson analysis. Results:Compared with the sham operated group, the CARD9 levels in the ischemia 3 h, 6 h and 12 h groups were increased significantly [(0.325±0.011) vs. (0.462±0.019), P=0.036; (0.735±0.036), P=0.003; (0.903±0.024), P=0.001], the p-p65NF-κB levels in the ischemia 3 h, 6 h and 12 h groups were increased significantly [(0.227±0.016) vs. (0.316±0.017), P=0.041; (0.445±0.021), P=0.016; (0.671±0.039), P=0.008], the TNF-ɑ levels in the ischemia 3 h, 6 h and 12 h groups were significantly increased [(0.53±0.06) vs. (1.06±0.10), P=0.009; (1.47±0.15), P=0.004; (2.78±0.18), P=0.001], the IL-lβ levels in the ischemia 3 h, 6 h and 12 h groups were significantly increased [(0.55±0.07) vs. (1.01±0.11), P=0.009; (2.13±0.16), P=0.003; (3.09±0.18), P=0.001], and the IL-6 levels in the ischemia 3 h, 6 h and 12 h groups were significantly increased [(1.99±0.18) vs. (4.10±0.41), P=0.006; (8.54±0.84), P=0.002; (11.56±0.96), P=0.001]. Pearson analysis showed that CARD9 was positively correlated with the p-p65NF-κB and TNF-ɑ, IL-lβ, IL-6 ( r=0.894, P=0.001; r=0.747, P=0.008; r=0.810, P=0.001; r=0.773, P=0.007). Conclusions:A positive correlation exists between CARD9 and inflammatory responses in the early stage of ischemic brain injury in mice

AIM: To study the bioequivalence of rosuvastatin calcium tablets produced by two different manufacturers on a fasting and postprandial basis in Chinese healthy subjects. METHODS: A single-center, randomized, balanced, open, two-sequence, two-cycle, double-crossover, and single-dose trial design was used in this study. Each of the fasting group and the postprandial group was enrolled in 52 healthy subjects. Fasting/postprandial oral rosuvastatin calcium tablets 10 mg test preparation or reference preparation, the validated LC-MS/MS method was used to determine the concentration of rosuvastatin calcium tablets in plasma, and the pharmacokinetic parameters were calculated. Human bioequivalence and safety evaluation of two rosuvastatin calcium tablets were evaluated. RESULTS: The t