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.

Background: Diabetic kidney disease (DKD) is recognized as a significant complication of diabetes mellitus and categorized into glomerular DKDs and tubular DKDs, each governed by distinct pathological mechanisms and biomarkers. Methods: Through the identification of common features observed in glomerular and tubular lesions in DKD, numerous differentially expressed gene were identified by the machine learning, single-cell transcriptome and mendelian randomization. Results: The diagnostic markers versican (VCAN) was identified, offering supplementary options for clinical diagnosis. VCAN significantly highly expressed in glomerular parietal epithelial cell and proximal convoluted tubular cell. It was mainly involved in the up-regulation of immune genes and infiltration of immune cells like mast cell. Mendelian randomization analysis confirmed that serum VCAN protein levels were a risky factor for DKD, while there was no reverse association. It exhibited the good diagnostic potential for estimated glomerular filtration rate and proteinuria in DKD. Conclusion VCAN showed the prospects into DKD pathology and clinical indicator.

Background: Diabetic kidney disease (DKD) is recognized as a significant complication of diabetes mellitus and categorized into glomerular DKDs and tubular DKDs, each governed by distinct pathological mechanisms and biomarkers. Methods: Through the identification of common features observed in glomerular and tubular lesions in DKD, numerous differentially expressed gene were identified by the machine learning, single-cell transcriptome and mendelian randomization. Results: The diagnostic markers versican (VCAN) was identified, offering supplementary options for clinical diagnosis. VCAN significantly highly expressed in glomerular parietal epithelial cell and proximal convoluted tubular cell. It was mainly involved in the up-regulation of immune genes and infiltration of immune cells like mast cell. Mendelian randomization analysis confirmed that serum VCAN protein levels were a risky factor for DKD, while there was no reverse association. It exhibited the good diagnostic potential for estimated glomerular filtration rate and proteinuria in DKD. Conclusion VCAN showed the prospects into DKD pathology and clinical indicator.

Background: Diabetic kidney disease (DKD) is recognized as a significant complication of diabetes mellitus and categorized into glomerular DKDs and tubular DKDs, each governed by distinct pathological mechanisms and biomarkers. Methods: Through the identification of common features observed in glomerular and tubular lesions in DKD, numerous differentially expressed gene were identified by the machine learning, single-cell transcriptome and mendelian randomization. Results: The diagnostic markers versican (VCAN) was identified, offering supplementary options for clinical diagnosis. VCAN significantly highly expressed in glomerular parietal epithelial cell and proximal convoluted tubular cell. It was mainly involved in the up-regulation of immune genes and infiltration of immune cells like mast cell. Mendelian randomization analysis confirmed that serum VCAN protein levels were a risky factor for DKD, while there was no reverse association. It exhibited the good diagnostic potential for estimated glomerular filtration rate and proteinuria in DKD. Conclusion VCAN showed the prospects into DKD pathology and clinical indicator.

Background: Diabetic kidney disease (DKD) is recognized as a significant complication of diabetes mellitus and categorized into glomerular DKDs and tubular DKDs, each governed by distinct pathological mechanisms and biomarkers. Methods: Through the identification of common features observed in glomerular and tubular lesions in DKD, numerous differentially expressed gene were identified by the machine learning, single-cell transcriptome and mendelian randomization. Results: The diagnostic markers versican (VCAN) was identified, offering supplementary options for clinical diagnosis. VCAN significantly highly expressed in glomerular parietal epithelial cell and proximal convoluted tubular cell. It was mainly involved in the up-regulation of immune genes and infiltration of immune cells like mast cell. Mendelian randomization analysis confirmed that serum VCAN protein levels were a risky factor for DKD, while there was no reverse association. It exhibited the good diagnostic potential for estimated glomerular filtration rate and proteinuria in DKD. Conclusion VCAN showed the prospects into DKD pathology and clinical indicator.

Recent data suggest that vascular endothelial growth factor receptor inhibitor (VEGFRi) can enhance the anti-tumor activity of the anti-programmed cell death-1 (anti-PD-1) antibody in colorectal cancer (CRC) with microsatellite stability (MSS). However, the comparison between this combination and standard third-line VEGFRi treatment is not performed, and reliable biomarkers are still lacking. We retrospectively enrolled MSS CRC patients receiving anti-PD-1 antibody plus VEGFRi (combination group, n=54) or VEGFRi alone (VEGFRi group, n=32), and their efficacy and safety were evaluated. We additionally examined the immune characteristics of the MSS CRC tumor microenvironment (TME) through single-cell and spatial transcriptomic data, and an MSS CRC immune cell-related signature (MCICRS) that can be used to predict the clinical outcomes of MSS CRC patients receiving immunotherapy was developed and validated in our in-house cohort. Compared with VEGFRi alone, the combination of anti-PD-1 antibody and VEGFRi exhibited a prolonged survival benefit (median progression-free survival: 4.4 vs. 2.0 months, P=0.0024; median overall survival: 10.2 vs. 5.2 months, P=0.0038) and a similar adverse event incidence. Through single-cell and spatial transcriptomic analysis, we determined ten MSS CRC-enriched immune cell types and their spatial distribution, including naive CD4⁺ T, regulatory CD4⁺ T, CD4⁺ Th17, exhausted CD8⁺ T, cytotoxic CD8⁺ T, proliferated CD8⁺ T, natural killer (NK) cells, plasma, and classical and intermediate monocytes. Based on a systemic meta-analysis and ten machine learning algorithms, we obtained MCICRS, an independent risk factor for the prognosis of MSS CRC patients. Further analyses demonstrated that the low-MCICRS group presented a higher immune cell infiltration and immune-related pathway activation, and hence a significant relation with the superior efficacy of pan-cancer immunotherapy. More importantly, the predictive value of MCICRS in MSS CRC patients receiving immunotherapy was also validated with an in-house cohort. Anti-PD-1 antibody combined with VEGFRi presented an improved clinical benefit in MSS CRC with manageable toxicity. MCICRS could serve as a robust and promising tool to predict clinical outcomes for individual MSS CRC patients receiving immunotherapy.
Humans ; Colorectal Neoplasms/drug therapy* ; Male ; Female ; Immunotherapy ; Middle Aged ; Aged ; Tumor Microenvironment/immunology* ; Retrospective Studies ; Microsatellite Instability ; Transcriptome ; Single-Cell Analysis ; Programmed Cell Death 1 Receptor/immunology* ; Gene Expression Profiling ; Immune Checkpoint Inhibitors/therapeutic use* ; Adult ; Receptors, Vascular Endothelial Growth Factor/antagonists & inhibitors*

Objective To construct and identify an organoid model of human placental site trophoblastic tumor(PSTT).Methods The tumor cells were obtained by digesting and separating the PSTT tissues and then embedded in Matrigel.The organoids were cultured in the specific organoid medium.The histological morphology of the organoid model was observed by HE staining and the expression levels of the PSTT specific markers[human placental prolactin(HPL),human leukocyte antigen-G(HLA-G)and placental alkaline phosphatase(PLAP)]were detected by immunohistochemistry and immunofluorescence,so as to evaluate the consistency between the organoid model and the PSTT tissue.Meanwhile,the morphology and forming efficiency of the constructed model were observed under a microscope after primary culture,passage generation and cryopreservation to evaluate its potential application as an organoid model in basic and clinical translational research of PSTT.Results The constructed organoid model could proliferate stably,growing from small microspheres into compact solid spheres or spheres with follicle-like structures,and could passage after fully grown in 7-10 days.The cell state remained stable after passage,frozen storage and recovery.HE staining showed that the morphology of the cells in the organoids was similar to that of the primary PSTT tumor cells,and immunofluorescence staining showed that the organoids highly expressed HLA-G and lowly expressed β-HCG,indicating that the constructed organoid model mainly contained intermediate trophoblast.Conclusion The adult-derived PSTT organoid(ADPO)models were successfully established.

Objective:To investigate the protective effects of an anti-inflammatory mixture on acute lung injury (ALI) induced by sepsis in rats, as well as its possible mechanisms.Methods:A total of 40 Sprague-Dawley (SD) rats were randomly divided into the sham group, septic ALI model group (model group), 3-methyladenine (3-MA) control group, and anti-inflammatory mixture pretreatment group, with 10 rats in each group. Cecal ligation and perforation (CLP) was performed to reproduce a septic ALI model. The rats in the sham group only underwent opening and closing the abdomen without perforation and ligation. Both groups were given saline gavage and intraperitoneal injection for 3 consecutive days before surgery. The 3-MA control group was given intraperitoneal injection of saline and autophagy inhibitor 3-MA 15 mg/kg for 3 consecutive days before modeling. The anti-inflammatory mixture pretreatment group was given 8.8 mL/kg of anti-inflammatory mixture by gavage [the composition of anti-inflammatory mixture: rhubarb 15 g (after the next), coptis chinensis 15 g, baical skullcap root 12 g, magnoliae cortex 12 g, dahurian patrinia herb 30 g] and saline intraperitoneal injection for 3 consecutive days before modeling. The rats in each group were anesthetized 24 hours after surgery and died due to abdominal aortic blood collection. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of serum inflammatory cytokines interleukins (IL-1β and IL-6). Lung tissue was taken and then the bronchoalveolar lavage fluid (BALF) was collected, and the levels of IL-1β and IL-6 were detected by ELISA. Lung wet/dry weight (W/D) ratio was measured. After hematoxylin-eosin (HE) staining, the histopathological changes of the lungs were observed under light microscopy. Western blotting was used to detect the expression of autophagy markers microtubule-associated protein 1 light chain 3-Ⅱ/Ⅰ (LC3-Ⅱ/Ⅰ) and Beclin-1 protein in lung tissue. Autophagosomes in lung tissue were observed with transmission electron microscopy.Results:Compared with the sham group, the rats in the model group exhibited severe destruction of lung tissue structure, with significant infiltration of inflammatory cells, the lung W/D ratio and the levels of IL-1β and IL-6 in serum and BALF were significantly increased, the expressions of LC3-Ⅱ/Ⅰ and Beclin-1 protein were down-regulated, the autophagosomes were more. The rats in the 3-MA control group exhibited more severe lung tissue injury as compared with the model group, the lung W/D ratio and the levels of inflammatory cytokines in serum and BALF were further increased, the expressions of LC3-Ⅱ/Ⅰ and Beclin-1 protein still showed a decrease tendency as compared with the sham group, and the autophagosomes were less than that in the model group. Compared with the model group, the anti-inflammatory mixture pretreatment group showed milder lung tissue injury with a minimal amount of inflammatory cell infiltration, the lung W/D ratio was significantly reduced (7.07±1.02 vs. 11.33±1.85, P < 0.05), the levels of IL-1β and IL-6 in both serum and BALF were significantly decreased [IL-1β (ng/L): 26.04±3.86 vs. 40.83±5.46 in serum, 17.75±2.02 vs. 26.86±4.32 in BALF; IL-6 (ng/L): 91.28±10.15 vs. 129.44±13.05 in serum, 76.06±7.51 vs. 120.91±7.47 in BALF, all P < 0.05], and the ratio of LC3-Ⅱ/Ⅰ and Beclin-1 protein expression were significantly increased [LC3-Ⅱ/Ⅰ ratio: 1.23±0.02 vs. 0.60±0.02, Beclin-1 protein (Beclin-1/GAPDH): 2.37±0.33 vs. 0.62±0.05, both P < 0.05]. Furthermore, an increase in the number of autophagosomes was observed. Conclusion:The anti-inflammatory mixture improves lung injury in rats with sepsis induced by CLP and reduce inflammation levels, potentially through upregulation of Beclin-1-mediated autophagy.

Objective To understand current epidemic trend of coronavirus disease-2019(COVID-19)in Anhui province in the optimization policy stage,and to analyze the pathogenic characteristics of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)in different population.Methods Using a cross-sectional survey design,from December 19 to 20,2022,an online questionnaire survey was conducted among residents of Anhui province through the official Wechat public accounts of provincial and municipal institutions with high traffic,to collect infor-mation on the incidence and clinic situation of COVID-19.The chi-square test was used to compare the proportion of COVID-19 suspected symptoms in different regions,ages and occupations.Results A total of 69 014 question-naires were distributed and 68 232 valid questionnaires were recovered with an effective rate of 98.97％.The pro-portion of the participants with COVID-19 suspected symptoms in the past 2 weeks was 51.37％,of which 77.88％self-medicated at home.The top three cities were Bozhou,Fuyang and Bengbu.The age group of 15-59 had the highest proportion of COVID-19 suspected symptoms(51.96％).Among various occupations,service providers had the highest proportion of COVID-19 suspected symptoms(61.07％).70.20％of the respondents felt anxious about the infection of SARS-CoV-2 and thought it was more serious than the flu.Conclusion The relatively high number of the infected cases and the anxiety of the people are all challenges faced by Anhui province in the stage of optimizing policies.Under the new situation of the epidemic,it is necessary to continuously monitor the local preva-lent strains and strengthen the monitoring of clinical symptoms of the infected cases,and effectively control the speed of the virus spread through public health policies and various economic and publicity measures,so as not to cause a run on medical resources and excessive excess deaths.

Purpose/Significance To construct a specialized database for inflammatory demyelinating disease of the central nervous system(CNS),so as to contribute to clinical research and improve the diagnostic and treatment capabilities of primary healthcare institu-tions.Method/Process Using the internet to collect medical data,after processing and analysis,the CNS inflammatory demyelinating disease database is constructed.Using statistical analysis,natural language processing(NLP),artificial intelligence(AI)image recog-nition and data visualization and other technologies,the database information is integrated and analyzed.Result/Conclusion A standard-ized big database for CNS inflammatory demyelinating diseases is constructed,which enables visualization of clinical research data,pro-vides patient education and specialist training,and facilitates multi-center teleconsultations.The establishment of a specialized database for the CNS inflammatory demyelinating disease can promote the transformation of medical research achievements,provide references for future real-world clinical research,optimize the process of diagnosis and treatment,and improve the clinical capability of primary healthcare institutions.