BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness， unpredictability， high severity， and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia， to identify the key factors influencing the occurrence of violent behavior in these patients， so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases， eleventh edition （ICD-11） were collected to form the modeling cohort. They were randomly divided into a training set （n=140） and a test set （n=60） at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator （LASSO） regression algorithm， the feature variables were screened and dimension-reduced. The support vector machine （SVM） from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic （ROC） curve （AUC）， accuracy， precision， sensitivity， specificity， F1 value， and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores （r=0.580， P<0.01）， a positive correlation between hospitalization compliance and current disease status （r=0.550， P=0.003）， and a positive correlation between educational level and family per capita monthly income （r=0.367， P<0.01）. The SVM model achieved an AUC of 0.853， accuracy of 0.800， precision of 0.810， sensitivity of 0.895， specificity of 0.636， F1 value of 0.850， and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients， which is helpful for the early identification of violent risks in such patients. ［Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City （number， Y2023006）］

AIM To evaluate the quality of Gegen Formula Granules.METHODS Linear calibration with two reference substances(LCTRS)was adopted in the predicting of retention time with puerarin and daidzein as internal standards.UPLC characteristic chromatograms were established.The contents of 3'-hydroxy puerarin,puerarin(internal standard),3'-methoxy puerarin,puerarin 6"-O-xyloside,puerarin apioside and daidzin were determined by quantitative determination analysis multi-components by a single marker(QAMS),after which their transfer rates were calculated.RESULTS Compared with relative retention time method,LCTRS demonstrated higher positional accuracy for characteristic peaks and wider application range for columns.There were 9 characteristic peaks in the characteristic chromatograms for 14 batches of formula granules and 15 batches of standard decoctions with the similarities of more than 0.95.The contents and transfer rates of various constituents in formula granules and standard decoctions were basically consistent.CONCLUSION The chemical constituents in formula granules and their standard decoctions of Puerariae lobatae Radix display good consistency,reliable preparation process is observable in the former.

Childhood primary renal tubular diseases are chronic kidney diseases characterized by impaired renal tubular reabsorption. Primary renal tubular disease has diverse clinical manifestations and lacks of specificity. Laboratory tests are limited，making it prone to missed diagnosis and misdiagnosis. Based on the current knowledge of renal tubular diseases，authors propose early warning signals of renal tubular diseases such as family history of primary tubular diseases，unexplained polyhydramnios during pregnancy，polydipsia，polyuria，delayed growth and development or rickets，decreased muscle strength and tone，unexplained electrolyte disturbance，hyperuricemia，acid-base disturbance，positive urine sugar test，renal tubular proteinuria，urinary imaging examination suggesting kidney stones，calcium deposition，renal cysts and early onset of eye，ear，joint and neuron injury.Meanwhile，some universal management strategies for primary renal tubular disease are proposed，emphasizing the importance of multidisciplinary collaboration，genetic testing and individualized intervention to improve the long-term prognosis of childhood primary renal tubular diseases.

Approximately 70% epilepsy may be associated with genetic etiology. To date, more than 2 900 genes related to epilepsy have been reported, and genotype-phenotype association in epilepsy has received increasing attention. Explaining how mutations in the same gene can lead to different diseases or phenotypes remains challenging. Sub-molecular mechanisms, including functional structural domains, amino acid substitutions, isoforms, and monoallelic/biallelic mutations, provide new perspectives for deciphering genotype-phenotype association in epilepsy. This review summarizes the role of sub-molecular mechanisms in genotype-phenotype association in epilepsy, to provide new strategies for clinical diagnosis and precise treatment of epilepsy.

As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O ₃ air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
Climate Change ; China ; Humans ; Greenhouse Gases ; Air Pollution ; Sustainable Development ; Environment

Approximately 70% epilepsy may be associated with genetic etiology. To date, more than 2 900 genes related to epilepsy have been reported, and genotype-phenotype association in epilepsy has received increasing attention. Explaining how mutations in the same gene can lead to different diseases or phenotypes remains challenging. Sub-molecular mechanisms, including functional structural domains, amino acid substitutions, isoforms, and monoallelic/biallelic mutations, provide new perspectives for deciphering genotype-phenotype association in epilepsy. This review summarizes the role of sub-molecular mechanisms in genotype-phenotype association in epilepsy, to provide new strategies for clinical diagnosis and precise treatment of epilepsy.

High glucose-induced vascular endothelial cell injury serves as a primary pathological factor contributing to delayed healing of diabetic wounds. Effective wound vascularization remains a core challenge in tissue engineering research. Hydrogel-based injectable technology and three-dimensional (3D) bioprinting technology, through synergistic innovation of biomaterials and advanced manufacturing processes, enable precise construction of bionic tissue structures, laying the foundation for functional organ replacement. This review focuses on discussing the synergistic strategies of injectable hydrogels and 3D bioprinted hydrogels in tissue engineering vascularization, as well as the clinical translation of intraoperative bioprinting and its synergistic vascularization strategies, which is currently in urgent need of development. These advancements are expected to provide novel strategies for the repair of diabetic wounds.

Objective:To investigate the safety and efficacy of the artery-first approach pancreaticoduo-denectomy (PD) combined with portal vein/superior mesenteric vein (PV/SMV) resection and reconstruction for pancreatic head malignancies.Methods:A retrospective analysis was conducted on 322 patients who underwent PD with PV/SMV resection and reconstruction at the Hepatobiliary Pancreatic Surgery Department of the First Hospital Affiliated to Naval Medical University between January 2016 and December 2022. Patients were divided into the artery-first approach PD group (AFA-PD group, n=165) and standard PD group (SPD group, n=157) based on surgical approach. Baseline characteristics, surgical outcomes, postoperative outcomes, pathological results and survival data were compared between two groups. Results:Compared to the SPD group, the AFA-PD group exhibited significantly reduced intraoperative blood loss (500 ml vs 600 ml), lower rates of obvious intraoperative blood loss (≥1 000 ml: 25.45% vs 40.13%), and decreased transfusion requirements (26.67% vs 52.87%). Postoperatively, the AFA-PD group demonstrated lower incidence of grade B/C pancreatic fistula (10.30% vs 19.75%) and higher textbook outcome achievement (78.79% vs 66.24%). Pathologically, the AFA-PD group achieved superior lymph node yield (20 nodes vs 18 nodes) and higher R 0 resection rates (79.39% vs 64.33%), particularly at the posterior pancreatic margin (96.97% vs 91.72%, P=0.040), SMA margin (92.07% vs 82.17%), and SMV margin (88.48% vs 78.98%). Multivariate logistic regression identified arterial invasion >180°, venous invasion >180°, lymph node metastasis, and the artery-first approach as independent predictors of R 0 resection. The AFA-PD group showed prolonged median survival (19.17 month vs 15.73 month). All aforementioned differences were statistically significant (all P value <0.05). Conclusions:The artery-first approach PD combined with PV/SMV resection and reconstruction is safe and effective for pancreatic head malignancies, significantly improving R 0 resection rates and patients' survival outcomes.

AIM To evaluate the quality of Gegen Formula Granules.METHODS Linear calibration with two reference substances(LCTRS)was adopted in the predicting of retention time with puerarin and daidzein as internal standards.UPLC characteristic chromatograms were established.The contents of 3'-hydroxy puerarin,puerarin(internal standard),3'-methoxy puerarin,puerarin 6"-O-xyloside,puerarin apioside and daidzin were determined by quantitative determination analysis multi-components by a single marker(QAMS),after which their transfer rates were calculated.RESULTS Compared with relative retention time method,LCTRS demonstrated higher positional accuracy for characteristic peaks and wider application range for columns.There were 9 characteristic peaks in the characteristic chromatograms for 14 batches of formula granules and 15 batches of standard decoctions with the similarities of more than 0.95.The contents and transfer rates of various constituents in formula granules and standard decoctions were basically consistent.CONCLUSION The chemical constituents in formula granules and their standard decoctions of Puerariae lobatae Radix display good consistency,reliable preparation process is observable in the former.

Objective To explore the predictive value of MRI parameters of carotid artery plaque combined with low density lipoprotein cholesterol/high density lipoprotein cholesterol(LDL-C/HDL-C)ratio for predicting ischemic stroke in young patients with carotid atherosclerosis.Methods Totally 125 young patients with carotid atherosclerosis were prospectively included and divided into stroke group and non-stroke group based on whether ischemic stroke occurred within 3 months.Clinical data,laboratory indicators and carotid plaque-related MRI parameters were compared between groups.Based on carotid plaque-related MRI parameters being statistically different between groups,combined model 1 was constructed using multivariable logistic regression analysis,while combined model 2 was constructed combined with LDL-C/HDL-C ratio.The efficacy of each parameter and model for predicting ischemic stroke in young adults was analyzed.Results There were 48 cases in stroke group and 77 cases in non-stroke group.The levels of glycosylated hemoglobin,LDL-C,LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index and plaque enhancement rate in stroke group were all higher than those in non-stroke group(all P＜0.05).The area under the curve(AUC)of LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index,plaque enhancement rate,combined model 1 and 2 for predicting ischemic stroke in young adults was 0.816,0.757,0.768,0.805,0.883 and 0.936,respectively,of combined model 1 was higher than those of single parameter(all P＜0.05),while of combined model 2 was higher than that of combined model 1(Z=2.336,P=0.020).Conclusion MRI parameters of carotid artery plaque combined with LDL-C/HDL-C ratio could effectively predict ischemic stroke in young patients with carotid atherosclerosis.