OBJECTIVE To establish population pharmacokinetic model of levetiracetam （Lev） for Chinese patients with post- stroke epilepsy （PSE）， and provide reference for formulating individualized dosing regimens for Lev therapy in this specific population. METHODS Blood concentration data and clinical diagnosis and treatment information of PSE patients meeting the inclusion criteria were retrospectively collected and divided into model group and validation group at an 8∶2 ratio using a random number method. Based on the model group data， a population pharmacokinetic model was developed using nonlinear mixed-effects modeling. Internal evaluation was performed through goodness-of-fit tests and bootstrap analysis， while external validation was conducted using the validation group data. RESULTS A total of 75 blood concentration measurements from 70 PSE patients were collected， with 60 measurements from 55 patients used for model development and 15 measurements from 15 patients reserved for external validation. The final model estimated a population typical value of clearance at 2.98 L/h. Estimated glomerular filtration rate， daily dose， and homocysteine level significantly influenced clearance of Lev （P＜0.01）. The model demonstrated satisfactory predictive performance， as evidenced by goodness-of-fit tests， bootstrap analysis， and external validation results. CONCLUSIONS Daily dose， estimated glomerular filtration rate， and homocysteine level are identified as significant covariates influencing Lev clearance in Chinese PSE patients. When making clinical decisions， comprehensive consideration should be given to the patient’s treatment response， physiological and pathological conditions， and the occurrence of adverse reactions， etc. The dosage of Lev should be adjusted based on the results of population pharmacokinetic model.

ObjectiveTo analyze the epidemiological characteristics of long COVID and to investigate its main influencing factors by examining individuals infected with SARS-CoV-2 between March and June 2022 in two communities in Shanghai, to lay the foundation for further research on the mechanism and clinical treatment of long COVID, and to provide the basis for the development of inexpensive, convenient, and feasible prevention and intervention strategies. MethodsA cross-sectional study was conducted, enrolling 6 410 individuals infected with SARS-CoV-2. Data were collected through a questionnaire survey. The incidence and common symptoms of long COVID were analyzed, along with their associations with demographic characteristics, medical history, and behavioral factors. A logistic regression model was used to identify the major factors associated with the development of long COVID symptoms. ResultsThe overall incidence rate of long COVID among the study population was 13.9%. The most commonly reported symptoms included fatigue (65.1%), attention disorders (23.1%), and cough (16.9%). The analysis showed that having underlying chronic diseases (OR=2.580, 95%CI: 2.165‒3.074), a history of allergies (OR=1.418, 95%CI: 1.003‒1.971), current smoking (OR=1.461, 95%CI: 1.013‒2.079), ever smoking (OR=2.462, 95%CI: 1.687‒3.551), a greater number of symptoms during the acute phase [1 symptom (OR=1.778, 95%CI: 1.459‒2.162), 2 symptoms (OR=2.749, 95%CI: 2.209‒3.409), ≥3 symptoms (OR=7.792, 95%CI: 6.333‒9.593)] and aggravated symptoms during the acute phase (OR=1.082, 95%CI: 1.070‒1.094) were factors associated with a higher risk of developing long COVID symptoms. Additionally, individuals who had consumed alcohol in the past year (OR=1.914, 95%CI: 1.344‒2.684) were more prone to objective long COVID symptoms. Among individuals under 50 years of age, females (OR=1.427, 95%CI: 1.052‒1.943) were more likely to develop objective long COVID symptoms. ConclusionThis study has identified the diversity of long COVID symptoms, which involve multiple organs and systems, including fatigue, attention disorders, cough, and joint pain. It has also revealed associations between long COVID and various demographic factors (e.g., age, gender), personal medical history (e.g., underlying chronic diseases, history of allergies), acute-phase characteristics (e.g., number and severity of symptoms), and behavioral factors (e.g., smoking, alcohol consumption). These findings highlight the need for further research and ongoing surveillance of long COVID and may inform the development of more targeted health management strategies for specific populations.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

MiRNAs are a class of small non-coding RNAs,which regulate gene expression post-transcriptionally by partial complementary base pairing.Aberrant miRNA expressions have been reported in tumor tissues and peripheral blood of cancer patients.In recent years,artificial intelligence algorithms such as machine learning and deep learning have been widely used in bioinformatic research.Compared to traditional bioinformatic tools,miRNA target prediction tools based on artificial intelligence algorithms have higher accuracy,and can successfully predict subcellular localization and redistribution of miRNAs to deepen our understanding.Additionally,the construction of clinical models based on artificial intelligence algorithms could significantly improve the mining efficiency of miRNA used as biomarkers.In this article,we summarize recent development of bioinformatic miRNA tools based on artificial intelligence algorithms,focusing on the potential of machine learning and deep learning in cancer-related miRNA research.

Objective:To investigate the correlation between computed tomography (CT) findings and serum micrornA-497 (miR-497), carbohydrate polypeptide antigen 24-2 (CA24-2) and hepatitis B surface antigen (HBsAg) expression in patients with colorectal cancer (CRC).Methods:A total of 64 CRC patients admitted to the Jiangsu Cancer Hospital from January 2021 to December 2022 were prospectively selected, and the surgical pathological results were used as the gold standard. Preoperative CT examination and serum miR-497, CA24-2 and HBsAg levels were performed in all patients. The CT images of the patients were analyzed. Pearson correlation analysis was used to evaluate the correlation between CT findings and serum miR-497, CA24-2 and HBsAg expression levels in CRC patients.Results:The CT imaging features of CRC patients were as follows: The intestinal wall was semi-annular in 37.50%(24/64), annular in 32.81%(21/64), localized thickening in 29.69%(19/64), the intestinal lumen was irregular and narrow, and most of the periintestinal fat was blurred in 59.38%(38/64). 67.19%(43/64) showed uneven enhancement, 51.56%(33/64) had lymph node metastasis and 43.75%(28/64) had liver metastasis. Lymph node metastasis in CRC patients was correlated with serum miR-497 and CA24-2 levels (all P<0.05), but not with serum HBsAg levels ( P>0.05). Liver metastasis in CRC patients was associated with serum HBsAg expression ( P<0.05), but not with serum miR-497 and CA24-2 levels (all P>0.05). Other CT findings of CRC patients were not correlated with serum miR-497, CA24-2 and HBsAg levels (all P>0.05). Pearson correlation analysis showed that lymph node metastasis in CRC patients was negatively correlated with the expression level of serum miR-497 ( r=-0.491, P<0.05), while positively correlated with the expression level of serum CA24-2 ( r=0.506, P<0.05). There was no correlation with serum HBsAg expression level ( P>0.05). The occurrence of liver metastasis in CRC patients was negatively correlated with the expression level of serum HBsAg ( r=-0.529, P<0.05), but was not correlated with the expression levels of serum miR-497 and CA24-2 (all P>0.05). Conclusions:CT imaging findings can evaluate the biological behavior of tumor cells in CRC patients to a certain extent, and have a certain correlation with the expression levels of serum miR-497, CA24-2 and HBsAg, which can reflect the lymph node and liver metastasis of tumors, and provide a basis for clinical comprehensive treatment and prognosis prediction of patients.

Recent studies have shown that stress can substantially facilitate breast cancer metastasis,which can be reduced by nonselective β1/β2-adrenergic receptor(β1/β2-AR)blocker.However,several side effects were identified.Thus,it is extremely warranted to explore more effective and better-tolerated β2-AR blocker.Currently,we demonstrated that baicalin(BA),a major bioactive component of Scutellaria bai-calensis Georgi,could significantly attenuate stress hormones especially epinephrine(Epi)-induced breast cancer cell migration and invasion in vitro.Mechanistically,we identified that β2-AR was a direct target of BA via the drug affinity responsive target stability(DARTS)combined with mass spectrum assay,and BA photoaffinity probe with pull-down assay,which was further confirmed by a couple of bio-physical and biochemical assays.Furthermore,we demonstrated that BA could directly bind to the Phe-193 and Phe-289 of β2-AR,subsequently inhibit cyclic adenosine monophosphate-protein kinase A-focal adhesion kinase(cAMP-PKA-FAK)pathway,and thus impede epithelial-mesenchymal transition(EMT),thereby hindering the metastatic progression of the chronic stress coupled with syngeneic and xenograft in vivo orthotopic and tail vein mouse model.These findings firstly identify BA as a potential β2-AR inhibitor in the treatment of stress-induced breast cancer metastasis.

Objective:In chronic hepatitis B (CHB) patients with previous 96-week treatment with tenofovir amibufenamide (TMF) or tenofovir disoproxil fumarate (TDF), we investigated the efficacy of sequential TMF treatment from 96 to 144 weeks.Methods:Enrolled subjects who were previously assigned (2:1) to receive either 25 mg TMF or 300 mg TDF with matching placebo for 96 weeks received extended or switched TMF treatment for 48 weeks. Efficacy was evaluated based on virological, serological, biological parameters, and fibrosis staging. Statistical analysis was performed using the McNemar test, t-test, or Log-Rank test according to the data. Results:593 subjects from the initial TMF group and 287 subjects from the TDF group were included at week 144, with the proportions of HBV DNA<20 IU/ml at week 144 being 86.2% and 83.3%, respectively, and 78.1% and 73.8% in patients with baseline HBV DNA levels ≥8 log10 IU/ml. Resistance to tenofovir was not detected in both groups. For HBeAg loss and seroconversion rates, both groups showed a further increase from week 96 to 144 and the 3-year cumulative rates of HBeAg loss were about 35% in each group. However, HBsAg levels were less affected during 96 to 144 weeks. For patients switched from TDF to TMF, a substantial further increase in the alanine aminotransferase (ALT) normalization rate was observed (11.4%), along with improved FIB-4 scores.Conclusion:After 144 weeks of TMF treatment, CHB patients achieved high rates of virological, serological, and biochemical responses, as well as improved liver fibrosis outcomes. Also, switching to TMF resulted in significant benefits in ALT normalization rates (NCT03903796).

Objective:In chronic hepatitis B (CHB) patients with previous 96-week treatment with tenofovir amibufenamide (TMF) or tenofovir disoproxil fumarate (TDF), we investigated the safety profile of sequential TMF treatment from 96 to 144 weeks.Methods:Enrolled subjects that previously assigned (2:1) to receive either 25 mg TMF or 300 mg TDF with matching placebo for 96 weeks received extending or switching TMF treatment for 48 weeks. Safety profiles of kidney, bone, metabolism, body weight, and others were evaluated.Results:666 subjects from the initial TMF group and 336 subjects from TDF group with at least one dose of assigned treatment were included at week 144. The overall safety profile was favorable in each group and generally similar between extended or switched TMF treatments from week 96 to 144. In subjects switching from TDF to TMF, the non-indexed estimated glomerular filtration rate (by non-indexed CKD-EPI formula) and creatinine clearance (by Cockcroft-Gault formula) were both increased, which were (2.31±8.33) ml/min and (4.24±13.94) ml/min, respectively. These changes were also higher than those in subjects with extending TMF treatment [(0.91±8.06) ml/min and (1.30±13.94) ml/min]. Meanwhile, switching to TMF also led to an increase of the bone mineral density (BMD) by 0.75% in hip and 1.41% in spine. On the other side, a slight change in TC/HDL ratio by 0.16 (IQR: 0.00, 0.43) and an increase in body mass index (BMI) by (0.54±0.98) kg/m 2 were oberved with patients switched to TMF, which were significantly higher than that in TMF group. Conclusion:CHB patients receiving 144 weeks of TMF treatment showed favorable safety profile. After switching to TMF, the bone and renal safety was significantly improved in TDF group, though experienceing change in metabolic parameters and weight gain (NCT03903796).

Blood purification is one of the commonly used techniques for the rescue of critically ill patients, which is used for acute and chronic kidney injury caused by various causes and renal replacement therapy (RRT) for a variety of critical diseases. Its main working principle is to drain the human blood into a variety of dialyzers through the artificial tube, exchange substances through a variety of ways, and remove harmful substances and some metabolites from patients' body. Then the purified blood is transfused back to the body, so as to maintain the patient's internal environment relatively stable. At present, there are different models of hemodialysis machines in clinical practice, but they are bulky and unable to move, and the method of heat dissipation is single, which cannot meet the needs of hemodialysis treatment in transport patients. Therefore, the medical staff of the Second Affiliated Hospital of Zunyi Medical University designed and developed a hemodialysis machine, which is suitable for patients who demand hemodialysis treatment during transport, and obtained the National Invention Patent of China (ZL 2020 1 0864737.3). The hemodialysis machine comprises a main body of the hemodialysis machine and a mobile vehicle. The main body of the hemodialysis machine is placed in the bottom of the mobile vehicle, and a protective cylinder with fixed airbags is designed around the main body of the hemodialysis machine. The fixed airbag is connected to the air storage tank through the pipeline, the air storage tank is connected to the Venturi tube through the control valve, and the throat of the Venturi tube is connected to the disinfection tank and cooling water tank. The outlet end of the Venturi tube is connected with the cooling pipe inside the main part of the hemodialysis machine and the sprinkler head placed on the top of the main body. By adding a mobile vehicle and designing an airbag and protective cylinder, the hemodialysis machine can be applied to the hemodialysis treatment during the transportation of patients. By designing the heat dissipation pipe, the main body of the hemodialysis machine can be cooled, the temperature of the hemodialysis machine can be reduced, and the hemodialysis machine can still work when the fan is damaged. By designing the sprinkler head, it is convenient to automatically disinfect the main screen and control keys of the hemodialysis machine, reduce the risk of cross infection of medical staff in the operation, and increase the safety and practicability of the hemodialysis machine. The hemodialysis machine is convenient, safe and efficient, which can be widely used in the hemodialysis treatment during transported patient, and is worthy of clinical promotion.

The biological clock(also known as the circadian rhythm)is the fundamental reliance for all organisms on Earth to adapt and survive in the Earth's rotation environment.Circadian rhythm is the most basic regulatory mechanism of life activities,and plays a key role in maintaining normal physiological and biochemical homeostasis,disease occurrence and treatment.Recent studies have shown that the biologi-cal clock plays an important role in the development of oral tissues and in the occurrence and treatment of oral diseases.Since there is cur-rently no guiding literature on the research methods of biological clock in stomatology,researchers mainly conduct research based on pub-lished references,which has led to controversy about the research methods of biological clock in stomatology,and there are many confusions about how to rationally apply the research methods of circadia rhythms.In view of this,this expert consensus summarizes the characteristics of the biological clock and analyzes the shortcomings of the current biological clock research in stomatology,and organizes relevant experts to summarize and recommend 10 principles as a reference for the rational implementation of the biological clock in stomatology research.