1.Study on population pharmacokinetics of levetiracetam in post-stroke epilepsy patients
Chenxi LIU ; Yin WU ; Caiyun JIA ; Sai CUI ; Huizhen WU ; Suxing WANG
China Pharmacy 2025;36(5):594-599
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.
2.Revealing VCAN as a Potential Common Diagnostic Biomarker of Renal Tubules and Glomerulus in Diabetic Kidney Disease Based on Machine Learning, Single-Cell Transcriptome Analysis and Mendelian Randomization
Li JIANG ; Jie JIAN ; Xulin SAI ; Xiai WU
Diabetes & Metabolism Journal 2025;49(3):407-420
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.
3.Revealing VCAN as a Potential Common Diagnostic Biomarker of Renal Tubules and Glomerulus in Diabetic Kidney Disease Based on Machine Learning, Single-Cell Transcriptome Analysis and Mendelian Randomization
Li JIANG ; Jie JIAN ; Xulin SAI ; Xiai WU
Diabetes & Metabolism Journal 2025;49(3):407-420
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.
4.Revealing VCAN as a Potential Common Diagnostic Biomarker of Renal Tubules and Glomerulus in Diabetic Kidney Disease Based on Machine Learning, Single-Cell Transcriptome Analysis and Mendelian Randomization
Li JIANG ; Jie JIAN ; Xulin SAI ; Xiai WU
Diabetes & Metabolism Journal 2025;49(3):407-420
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.
5.Revealing VCAN as a Potential Common Diagnostic Biomarker of Renal Tubules and Glomerulus in Diabetic Kidney Disease Based on Machine Learning, Single-Cell Transcriptome Analysis and Mendelian Randomization
Li JIANG ; Jie JIAN ; Xulin SAI ; Xiai WU
Diabetes & Metabolism Journal 2025;49(3):407-420
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.
6.Single-cell and spatial transcriptomic analysis reveals that an immune cell-related signature could predict clinical outcomes for microsatellite-stable colorectal cancer patients receiving immunotherapy.
Shijin YUAN ; Yan XIA ; Guangwei DAI ; Shun RAO ; Rongrong HU ; Yuzhen GAO ; Qing QIU ; Chenghao WU ; Sai QIAO ; Yinghua XU ; Xinyou XIE ; Haizhou LOU ; Xian WANG ; Jun ZHANG
Journal of Zhejiang University. Science. B 2025;26(4):371-392
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*
7.Survey on COVID-19 among residents in Anhui province in the new stage of epidemic prevention and control
Qian ZHU ; Sai HOU ; Meng ZHU ; Yujie FENG ; Biao ZHU ; Lei GONG ; Jiabing WU
Acta Universitatis Medicinalis Anhui 2024;59(8):1455-1459
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.
8.Establishment and application for evaluation system of pathogen detection rate indicators before antimicrobial treatment
Lei-Lei GUO ; Hong-Ying QIN ; Sai-Nan XU ; Zhen-Zhen WU ; Yi ZHANG ; Shang-Shu ZHANG ; Hong-Kai LIAN
Chinese Journal of Infection Control 2024;23(6):712-718
Objective To establish an evaluation system of pathogen detection rate of hospitalized patients before antimicrobial treatment based on process and outcome indicators,and study its application effect.Methods Hospi-talized patients with therapeutic antimicrobial treatment in a tertiary first-class hospital from July 2022 to June 2023 were selected as the study objects.Difference in process and outcome indicators were compared between before(Ju-ly-December 2022,control group)and after(January-June 2023,intervention group)the implementation of inter-vention in the evaluation system for pathogen detection rate of hospitalized patients before antimicrobial treatment.Results 41 577 and 27 052 hospitalized patients received therapeutic antimicrobial agents were included in the inter-vention group and control group,respectively.Pathogen detection rate and the accurate pathogen detection rate in the intervention group were both higher than those in the control group(74.2%vs 62.8%and 90.3%vs 82.5%,respectively),both with statistically significant differences(both P<0.001).The goal achievement rate and im-provement rate for pathogen detection rate were 237.5%and 18.2%respectively,the goal achievement rate and im-provement rate for accurate pathogen detection rate were 104.0%and 9.5%respectively.For the process indica-tors,the conformity rate of detection and diagnosis,accurate collection rate,timely transfer rate,acceptance rate of pathogen specimens in the intervention group were all higher than those in the control group,differences were all statistically significant(all P<0.001).For the outcome indicators,detection rates of targeted indicators and blood culture specimens,pathogen detection rate before treatment of restricted and special grade antimicrobial agent,as well as detection rate of sterile body fluid specimens in the intervention group were all higher than those in the con-trol group,with statistical significance(all P<0.05).In addition,the positive rate of blood culture specimens in-creased from 18.5%before intervention to 21.7%after intervention,with statistically significant difference(P<0.05).Conclusion The establishment of indicator evaluation system can improve the detection rate and accurate detection rate of pathogens before antimicrobial treatment,as well as the management quality and connotation of indicators.
9.Fatal Familial Insomnia With Significant Correlations Between Involuntary Movements and Postural Changes:Report of One Case
Li ZHANG ; Hui SUN ; Shimin ZHANG ; Sai GAO ; Lei WU ; Dehui HUANG
Acta Academiae Medicinae Sinicae 2024;46(1):135-138
Fatal familial insomnia,an autosomal dominant prion disease,is rare.We reported the clin-ical symptoms,examination results,diagnosis,treatment,and prognosis of a patient who was diagnosed with fatal familial insomnia.Furthermore,we described the unique clinical manifestations that involuntary movements and laryngeal stridor were significantly correlated with postural changes,aiming to provide reference for the clini-cal diagnosis,treatment,and research of the disease in the future.
10.Tumor-Like Primary Central Nervous System Vasculitis With Spina Involvement:Report of One Case
Li ZHANG ; Hui SUN ; Shimin ZHANG ; Sai GAO ; Lei WU ; Dehui HUANG
Acta Academiae Medicinae Sinicae 2024;46(3):466-470
Primary central nervous system vasculitis(PACNS)is a vasculitic disorder affecting small to medium-sized blood vessels primarily in the central nervous system,involving the brain,spinal cord,and me-ninges.Tumor-like PNCAS,a rare subtype of PACNS,is often misdiagnosed as intracranial malignancy,and that with spinal cord involvement is even more uncommon.The lack of specific clinical symptoms and imaging manifestations poses a challenge to the diagnosis of PACNS.This report presents a case of tumor-like PACNS with spinal cord involvement based on the pathological evidence,aiming to enrich the knowledge about this condition.


Result Analysis
Print
Save
E-mail