1.Systematic analysis of population pharmacokinetics of lacosamide
Sai CUI ; Nan MENG ; Huizhen WU ; Yin WU
China Pharmacy 2026;37(10):1302-1306
OBJECTIVE To systematically analyze the population pharmacokinetics (PPK) studies of lacosamide and expound the influential factors of its pharmacokinetics in different populations. METHODS PPK studies of lacosamide were collected by searching the databases, such as Web of Science, PubMed, Embase, Metasearch, CNKI, Wanfang Data and VIP, both in Chinese and English. Relevant data were extracted, and the Prediction Model Risk of Bias Assessment Tool was used to evaluate the quality of the PPK models in the included studies. RESULTS Among 8 studies ultimately included, 6 were retrospective studies and 2 were prospective studies; 5 studies involved pediatric patients. Seven studies adopted a one-compartment model, while 1 study utilized a two-compartment model. Four studies had a model quality rating of grade A, two of grade B and two of grade C, respectively. Body weight, renal function, and hepatic enzyme inducers were significant covariates influencing PPK of lacosamide. CONCLUSIONS The existing PPK studies of lacosamide are predominantly conducted in pediatric populations. Pharmacokinetic variability is mainly influenced by body weight, renal function, and hepatic enzyme inducers. However, most PPK studies have not conducted external validation, and the generalizability of the models remains to be confirmed.
2.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*
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.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.
7.Correlation between serum zinc level and prognosis of patients with sepsis
Xiao-Gang WANG ; Jia-Jun MA ; Rui-Xin ZHU ; Li-Bing ZHOU ; Sai-Hu HUANG ; Shui-Yan WU ; Wen-Si NIU ; Jie HUANG ; Zhen-Jiang BAI
Parenteral & Enteral Nutrition 2025;32(5):278-282
Objective:To investigate the differences in clinical outcomes of septic children with varying serum zinc levels,and to analyze the relationship between reduced serum zinc levels and organ dysfunction as well as 28-day mortality in septic children.Methods:This study conducted a retrospective analysis of clinical data from pediatric patients diagnosed with sepsis or septic shock in the Department of critical care medicine of the children's Hospital of Soochow University between January 2017 and December 2022.Clinical characteristics,organ dysfunction,and prognosis were compared between two groups:children with low serum zinc levels and those with normal zinc levels.Results:The serum zinc level of septic children within 24 hours of admission was 9.60(5.52,13.80)μmol/L,with 50.54%(94/186)of the children exhibiting low serum zinc levels(<10.07 μmol/L).Compared to the normal serum zinc group,the low serum zinc group had a significantly lower Pediatric Critical Illness Score(PCIS)[(78.71±9.35)vs.(85.12±8.51),P=0.005]and higher 28-day mortality(46.80%vs.14.13%,P<0.001).The low serum zinc group also had a higher proportion of invasive mechanical ventilation(64.89%vs.47.82%,P=0.019),renal replacement therapy(15.59%vs.3.26%,P=0.003),and use of vasoactive drugs(56.38%vs.30.43%,P<0.001).The rate of underlying conditions in the low serum zinc group was significantly higher than that in the normal serum zinc group(57.44%vs.36.95%,P=0.005).Additionally,the low serum zinc group had a higher incidence of disseminated intravascular coagulation(DIC),respiratory failure,acute kidney injury,shock,and multiple organ dysfunction syndrome(MODS)compared to the normal serum zinc group(P<0.05).Serum zinc levels had predictive value for 28-day mortality in septic children(AUC=0.813;95%CI:0.725~0.902;P<0.001).A serum zinc level of less than 6.950 μmol/L predicted the death of septic children with a sensitivity of 0.618 and a specificity of 0.902.Conclusion:Sepsis in children is commonly associated with low serum zinc levels,especially in those with underlying conditions such as hematologic and oncologic disorders.Sepsis patients hypozincemia with a higher incidence of DIC,respiratory failure,acute kidney injury,shock,and MODS.A serum zinc level below 6.95 μmol/L serves as a significant predictor of 28-day mortality in children with severe sepsis.
8.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.
9.Scientific liver resection and personalized treatment:innovative practices to maximize patient benefits
Zhipeng WU ; Gang DU ; Zeyang LIU ; Sai ZHANG ; Mengfan YANG ; Mingkun LIU ; Bin JIN
Chinese Journal of General Surgery 2025;34(1):54-61
Primary liver cancer,particularly hepatocellular carcinoma,is one of the most common malignancies in China,and hepatectomy remains the primary curative treatment.However,the efficacy of hepatectomy is significantly limited due to the heterogeneity of liver cancer,its high recurrence rate,and the fact that most patients are diagnosed at advanced stages.In recent years,the development of precision medicine has brought new hope to liver cancer treatment,especially with notable advancements in preoperative assessment,systemic therapy,minimally invasive surgery,and personalized treatment strategies.Preoperative assessment,including imaging technologies such as three-dimensional visualization and molecular imaging,helps physicians accurately evaluate tumor characteristics and liver function,guiding the choice of treatment plan.The combined application of immunotherapy and targeted therapy has significantly improved survival rates for patients with advanced liver cancer.The strategy of combining systemic therapy with local treatment has provided new pathways for translational therapy,expanding the indications for hepatectomy.The optimal selection of patients based on tumor biological characteristics,especially molecular subtyping and liver function status,to maximize patient benefit still requires further exploration.The"seven-step"modular laparoscopic hepatectomy,by achieving scientific hepatectomy,demonstrates the clinical practice of maximizing patient benefit,further elucidating a multidisciplinary,personalized treatment model centered on surgical therapy.
10.Diagnosis and treatment analysis of recurrent autoimmune encephalitis with anti-myelin oligodendrocyte glycoprotein antibody and anti-N-methyl-D-aspartate receptor double-positive(report of one case)
Journal of Clinical Neurology 2025;38(2):92-95
To explore the experience for diagnosis and treatment of recurrent autoimmune encephalitis with anti-myelin oligodendrocyte glycoprotein(MOG)antibody and anti-N-methyl-D-aspartate receptor(NMDAR)double-positive.Methods Clinical data of a autoimmune encephalitis patient with double-positive for MOG antibody and anti-NMDAR antibody was obtained through retrospective analysis.Results Male patient,18 years old.He presented with intermittent headaches,a single episode of loss of consciousness and a convulsion in October 2017.He experienced decreased vision in the right eye in April 2018.Brain MRI showed abnormal signals in the right temporal-occipital junction and optic nerve,with the MOG-IgG antibody positive in the serum.The symptoms improved after treatment with methylprednisolone without immunosuppressants.In October 2018,the patient had another seizure.The MOG-IgG antibodies,both in serum and CSF,were positive,and the NMDAR-IgG antibody was positive in the CSF.Brain MRI exhibited abnormal signals and peripheral enhancement in the bilateral parietal,occipital,temporal lobes,and the corpus callosum.A diagnosis of MOG antibody-associated disease(MOGAD)was confirmed.The Symptoms controlled after administration of methylprednisolone and symptomatic treatment.Follow-up MRI showed a reduction in lesion signal and disappearance of enhancement.Subsequently,Rituximab was administered sequentially in October 2018,April 2019,August 2020 and July 2021.MOG and AQP4 antibodies in serum were negative when tested in July 2021 and July 2022.Unfortunately,the patient again experienced weakness in the left limb and episodic confusion with limb convulsions in March 2023.The re-test of MOG antibodies in serum and CSF were positive again,and CSF NMDAR-IgG antibody was also positive.MRI showed abnormal signals in the right frontal-parietal cortex with gyral-like enhancement.MOGAD relapse was considered,and symptoms improved after treatment with methylprednisolone.The re-examination of brain MRI showed the disappearance of the lesions.The patient was discharged after sequential Rituximab treatment.The patient had not experienced any further recurrence until 20th June 2023.Conclusions A clinical phenotype of this case of autoimmune encephalitis with double-positive antibodies for MOG and NMDAR is thought to be MOGAD.The treatment procedure indicated that positive antibodies can turn negative after immunotherapy.However,relapse may occur after drug discontinuation.Thus,it is worth further investigating the timing of starting and stopping immunosuppressive therapy,the frequency of monitoring autoantibodies,and the guidance for restarting immunotherapy.

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