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.

Objective To construct and evaluate the prediction model of maternal mortality in Yunnan Province,and predict the maternal mortality rate in Yunnan Province from 2024 to 2030.Methods Based on the maternal mortality rates in Yunnan Province from 1994 to 2023,a grey prediction model and a autoregressive integrated moving average model were constructed,The models were compared using mean absolute error,mean square error and root mean square error to assess their fitting performance,and the optimal model was used to predict the maternal mortality rate in Yunnan Province from 2024 to 2030.Resuls The maternal mortality rate in Yunnan Province showed a continuous decline from 1994 to 2023(χ2=50 170.0,P<0.05).The mean absolute error,mean-square error and root mean-square error for the grey prediction model were 2.424,12.389,3.519,respectively,while for the differential autoregressive moving average model,they were 3.966,27.651,5.258,respectively.The prediction effect of the grey prediction model is superior to that of the autoregressive integrated moving average model,with a posterior difference ratio C=0.079 and a low probability error P=1,indicating a prediction accuracy of level 1.Using the grey prediction model,the maternal mortality rates for Yunnan Province from 2024 to 2030 are 10.05/100 000,9.16/100 000,8.34/100 000,7.59/100 000,691/100 000,6.30/100 000 and 5.73/100 000,respectively.Conclusion The grey prediction model has a good prediction effect on maternal mortality in Yunnan Province.It is predicted that the maternal mortality rate in Yunnan Province in 2030 can meet the control targets outlined in the"Healthy China 2030 Plan",the"Outline of Chinese Women's Development(2021-2030)"and the"Yunnan Women's Development Plan(2021-2030)".

Objective:To explore the correlation between anxiety, depression, and inflammatory markers in the body fluids of patients with burning mouth syndrome (BMS), creating a preliminary assessment model based on clinical data.Methods:Forty-one BMS patients were recruited according to the predefined inclusion criteria and exclusion criteria from the Department of Oral Medicine, Shanghai Ninth People′s Hospital, Shanghai Jiao Tong University School of Medicine between December 2021 and September 2023, along with 12 healthy controls. The pain intensity of the 41 patients was assessed using the visual analog scale (VAS). Meanwhile, anxiety and depression were assessed using the Zung self-rating anxiety scale (SAS) and the Zung self-rating depression scale (SDS). The concentrations of brain-derived neurotrophic factor (BDNF), interferon-γ (IFN-γ), interleukin (IL)-1β, IL-6, IL-8, and tumor necrosis factor-alpha (TNF-α) in saliva and serum were measured using the Luminex 200 TM system and enzyme-linked immunosorbent assay. Statistical analyses were performed using the Chi-square test, independent samples t-test, ANOVA, Spearman′s correlation analysis, and multiple linear regression, respectively. Results:The VAS score for the 41 BMS patients was (3.56±1.90), with 48.8% (20/41) and 41.5% (17/41) of patients experiencing mild and moderate pain, respectively. Only 7.3% (3/41) of patients had severe pain. Among the 41 BMS patients, 61.0% (25/41) exhibited anxiety and/or depression, in whom 39.0% (16/41) had both anxiety and depression, 9.8% (4/41) experienced anxiety without depression, and 12.2% (5/41) had depression without anxiety. The concentrations of IFN-γ and TNF-α in the serum and saliva of BMS patients were significantly higher than those in healthy controls (all P<0.05). In contrast, the BDNF concentration in serum was significantly lower in BMS patients than in healthy participants ( P<0.01), but was significantly higher in saliva ( P<0.001). Serum TNF-α was positively correlated with IFN-γ, IL-1β, and IL-6 (β=0.803, β=0.812, β=0.592; all P<0.01), while saliva TNF-α was negatively correlated with both anxiety and depression (β=-0.325, β=-0.321; all P<0.05). SAS scores were linearly correlated with saliva TNF-α concentrations (SAS=51.374-1.154×saliva TNF-α); saliva TNF-α concentrations were linearly correlated with saliva IFN-γ and IL-1β (saliva TNF-α=2.408+0.281×saliva IFN-γ+0.002×saliva IL-1β). Conclusions:This study provides a preliminary exploration of a clinical assessment model for BMS based on inflammatory markers and psychological scores, offering an exploratory framework for further research and optimization of the model.

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*

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 and Aims:With the widespread use of electrosurgical devices in open thyroid surgery,the surgical smoke generated during procedures has become a significant concern,as it compromises surgical visibility,reduces operational efficiency,and poses health risks to medical staff.Currently,local smoke evacuation is commonly performed by an assistant using a handheld suction device,which is limited in range,interferes with surgical procedures,and increases labor costs.This study aimed to evaluate the effectiveness,safety,feasibility,and staff satisfaction associated with a self-made annular smoke evacuation device constructed from readily available materials for use in open thyroid surgery.Methods:A total of 82 patients undergoing open surgery for papillary thyroid carcinoma at Suqian First People's Hospital between March and June 2024 were randomly assigned to an observation group and a control group(41 patients each).During surgery,the observation group used a self-made annular smoke evacuation device for continuous smoke removal,while the control group used conventional manual suction via an assistant.Outcomes compared between the two groups included PM2.5 concentrations 30 cm above the surgical field,operative time,intraoperative blood loss,and medical staff satisfaction with smoke removal.Results:During thyroid tissue dissection,the PM2.5 concentration in the observation group was(63.26±11.71)μg/m3,corresponding to a"good"air quality level,while in the control group it was(126.35±40.12)μg/m3,ranging from"mild to severe pollution"—a statistically significant difference(P<0.05).In the observation group,operative times for unilateral and bilateral procedures were(31.25±11.36)min and(71.13±17.12)min,respectively,with intraoperative blood loss of(10.5±5.3)mL and(18.6±5.5)mL.In the control group,times were(39.27±15.42)min and(78.35±22.35)min,with blood loss of(12.5±5.8)mL and(20.5±6.5)mL,respectively—all differences not statistically significant(all P>0.05).Staff satisfaction was significantly higher in the observation group compared to the control group(97.6%vs.31.7%,P<0.05).Conclusion:The self-made annular smoke evacuation device demonstrated favorable results in open thyroid surgery,effectively reducing surgical smoke concentration,improving visibility,and minimizing health risks to medical staff without compromising surgical efficiency or safety.The device is cost-effective,easy to assemble,and can be repurposed postoperatively as a drainage tube,requiring no additional consumables.Its reusability and ease of integration offer strong practical value and clinical applicability.

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.

OBJECTIVE: To explore the clinical manifestations and genetic characteristics of a child with Leukoencephalopathy with ataxia (LKPAT) caused by a CLCN2 gene variant. METHODS: A retrospective analysis was conducted on the clinical data of a child admitted to Hunan Children's Hospital in June 2024 due to "intermittent convulsions for 13 days". Peripheral blood samples were collected from the child and his parents for whole exome sequencing, followed by Sanger sequencing validation and pathogenicity analysis of candidate variants. Literature searches were performed using the keywords "CLCN2 gene" "chloride channel-2" "leukoencephalopathy with ataxia/LKPAT" "leukoencephalopathy" in both Chinese and English on CNKI, Wanfang, and PubMed databases. The search time was set from the establishment of the databases to July 31, 2024. Childhood-onset LKPAT literature was screened and analyzed. This study was approved by the Medical Ethics Committee of Hunan Children's Hospital (Ethics No. HCHLL-2024-351). RESULTS: The child was a 7-month-and-26-day-old male infant born to consanguineous parents, presenting with epileptic seizures and borderline development. Cranial MRI revealed symmetrical long T₂ signal shadows in the posterior limb of the internal capsule, cerebral peduncle, pons, and middle peduncle of the cerebellum. Video electroencephalogram (EEG) showed an abnormal childhood EEG with one focal seizure. Whole exome sequencing revealed a homozygous c.2201dup (p.Glu735Ter) variant in the CLCN2 gene of the child. Sanger sequencing confirmed that the variant was inherited from both parents. According to the guidelines of the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP), this variant was classified as pathogenic (PVS1+PM3_Supporting+PM2_Supporting). A total of 8 relevant literature were retrieved, together with the present case, 16 childhood-onset LKPAT patients were cumulatively reported, which consisted of 9 males and 7 females. Twelve CLCN2 gene variants were involved, including 2 nonsense variants, 3 missense variants, 7 frameshifting variants, 2 c.61dup variants, and 5 c.1709G>A variants. The initial symptoms of the 16 patients included headache, ataxia, epileptic seizures, spasticity, developmental delay, lower back pain, hearing impairment, and intention tremor. Three patients had onset of the disease before the age of one, of which 2 had epileptic seizures as the initial symptom. CONCLUSION The homozygous variant CLCN2: c.2201dup (p.Glu735Ter) is considered the pathogenic cause of LKPAT in this child, marking the first childhood-onset case reported in China. Genetic testing has facilitated the diagnosis of childhood-onset LKPAT and expanded the spectrum of CLCN2 gene mutations.
Humans ; Chloride Channels/genetics* ; Male ; CLC-2 Chloride Channels ; Leukoencephalopathies/genetics* ; Infant ; Ataxia/genetics* ; Homozygote ; Mutation ; Retrospective Studies ; Exome Sequencing ; Genetic Testing ; Female

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.