BACKGROUND:Coptis chinensis can clear heat,dry dampness,relieve fire,and detoxify.Coptis chinensis and its components have a significant protective effect on cerebral ischemia.The action mechanism of anti-cerebral ischemia of Coptidis Rhizoma Alkaloids was explored based on network pharmacology and transcriptome sequencing. OBJECTIVE:Based on the study of the protective effects of Coptidis Rhizoma Alkaloids on cerebral ischemia of rats,the action mechanism of Coptidis Rhizoma Alkaloids intervention in cerebral ischemia was investigated by using network pharmacology and transcriptome sequencing technology. METHODS:The SD rats were randomly divided into sham operation group,ischemia/reperfusion group,positive drug group,and Coptidis Rhizoma Alkaloids group.The ischemia/reperfusion model of middle cerebral artery occlusion was prepared by modified thread method in the latter three groups.No thread was inserted and the other operations were the same in the sham operation group.TTC staining,Longa 5 neurological deficient score,hematoxylin and eosin staining,and Nissl staining were used to evaluate the protective effect of Coptidis Rhizoma Alkaloids on ischemia/reperfusion model rats.Transcriptome sequencing was performed on the brain tissues of rats in sham operation group,ischemia/reperfusion group,and Coptidis Rhizoma Alkaloids group.Differentially expressed genes,gene Ontology analysis,Kyoto encyclopedia of genes and genomes analysis,and Correlation Analysis of Transcriptomics and Network Pharmacology were used to elucidate the effect of Coptidis Rhizoma Alkaloids on cerebral ischemia.Finally,ELISA and immunofluorescence staining were used to verify the key targets of Coptidis Rhizoma Alkaloids in the intervention of cerebral ischemia. RESULTS AND CONCLUSION:(1)Coptidis Rhizoma Alkaloids treatment decreased the Longa 5 neurological deficit scores and cerebral infarction area of ischemia/reperfusion model rats,increased the number of neurons and Nissl bodies.(2)Differentially expressed gene after Coptidis Rhizoma Alkaloids treatment analyzed by functional enrichment analysis of gene ontology includes biological processes such as inflammatory reaction and positive regulation of mitogen-activated protein kinase cascade.The enrichment analysis of Kyoto gene and genome encyclopedia analysis pathway mainly involves interleukin-17 signaling pathway,neuroactive ligand-receptor interaction,cyclic adenosine-3′,5′-mconophosphate signaling pathway and so on.(3)Analysis of transcriptomics showed that the main genes regulated by Coptidis Rhizoma Alkaloids were prostaglandin endoperoxide synthase 2,brain derived neurotrophic factor,and transient receptor potential A1.(4)Network pharmacology analysis revealed that nine components in Coptidis Rhizoma Alkaloids may exert their effects by associating with 87 targets related to prostaglandin endoperoxide synthase 2,brain derived neurotrophic factor,and transient receptor potential A1.(5)ELISA and immunofluorescence staining results further confirmed that Coptidis Rhizoma Alkaloids regulated the expression of prostaglandin endoperoxide synthase 2,brain derived neurotrophic factor,and transient receptor potential A1.(6)It is concluded that Coptidis Rhizoma Alkaloids treatment can significantly improve the injury in ischemia/reperfusion model rats,possibly by regulating prostaglandin endoperoxide synthase 2,brain derived neurotrophic factor,and transient receptor potential A1.

OBJECTIVE: To explore the clinical characteristics and genetic etiology of a patient with De-differentiated liposarcoma (DDLPS). METHODS: A 38-year-old female patient with DDLPS who had visited Hunan Provincial People's Hospital in January 2025 was selected as the study subject. A retrospective study method was adopted to collect the patient's clinical data, including current and past medical history, auxiliary examinations, pathological diagnosis, and results of genetic testing. This study was approved by the Ethics Committee of Hunan Provincial People's Hospital (Ethics No.: KY2025-150). RESULTS: The patient had presented with abdominal pain and abdominal mass. Imaging studies revealed ascites and space-occupying abdominal lesions. Postoperative pathological examination showed that the tumor was composed of spindle cells, and its morphology and immunohistochemistry had made it difficult to distinguish between DDLPS and leiomyosarcoma. High-throughput sequencing revealed characteristic molecular alterations of DDLPS, and fluorescence in situ hybridization confirmed MDM2 gene amplification, leading to a diagnosis of DDLPS. CONCLUSION The patient was diagnosed with DDLPS. Her clinical manifestations and pathological features were consistent with the characteristics of DDLPS. Molecular pathological testing played a crucial role in the diagnosis and provided a crucial reference for subsequent treatment.
Humans ; Female ; Adult ; Liposarcoma/diagnosis* ; Phenotype ; Proto-Oncogene Proteins c-mdm2/genetics*

AIM:To evaluate the safety and toler-ability of single dose oral BTK inhibitor YZJ-3058 tablets under fasting conditions in healthy adults,as well as the pharmacokinetic and pharmacologi-cal characteristics of YZJ-3058 and its metabolites.METHODS:A total of 22 healthy subjects were en-rolled in this experiment and administered a single dose orally.They were divided into three groups:50 mg,100 mg,and 200 mg.Among them,2 sub-jects were enrolled in the 50 mg dose group,and 10 subjects were enrolled in the 100 mg and 200 mg dose groups,respectively.RESULTS:In healthy subjects,YZJ-3058 tablets were administered orally on an empty stomach at doses of 50,100,and 200 mg,with a median Tmax of 1.25 to 2.00 hours and an average Cmax of 62.85,89.44,and 99.20 ng/mL,re-spectively.The average AUC0-t was 183.87,297.72,and 453.98 h·ng-1·mL,respectively.The average AUC0-∞ was 189.30,321.33,and 551.44 h·ng-1·mL,and the median t1/2 was 1.16,5.06,and 7.97 hours,respectively.After a single oral administration of 50,100,and 200 mg YZJ-3058 tablets,the highest target occupancy rate was achieved at 4 hours.The average BTK occupancy rates at 24 hours after ad-ministration were 88.95％,96.73％,and 99.24％,re-spectively.The average BTK occupancy rates at 48 hours after administration were 75.65％,89.80％,and 96.68％,respectively.No serious adverse events or adverse events leading to withdrawal oc-curred,and all subjects had good tolerability.CON-CLUSION:YZJ-3058 tablets have good safety and tolerability for single oral administration on an empty stomach in healthy subjects within the dose range of 50-200 mg.Cmax and AUC increase with dose,with fast absorption and saturation.The ter-minal elimination rate gradually slows down with dose increase,and it has a significant and sus-tained occupying effect on BTK targets.

ObjectiveThis nested case-control study, based on the Shanghai Birth Cohort (SBC), aimed to explore the impact of early pregnancy exposure to organophosphorus flame retardants (OPFRs) on attention deficit hyperactive disorder (ADHD)-like symptoms in 4-year-old children, so as to provide epidemiological evidence regarding the health effects of emerging contaminant OPFRs in children. MethodsStrengths and Difficulties Questionnaire (SDQ) was used to assess ADHD like symptoms in 4-year-old children. Children with an SDQ hyperactivity subscale score ≥6 points were defined as cases, while those with a score <5 points were considered as controls. The case and control groups were matched at 1∶1 based on the child’s age (±6 months), sex, and parental or primary caregiver’s education level. A total of 105 cases and 112 controls were included eventually. Concentrations of eight OPFRs metabolites in early pregnancy urine samples were measured using ultra-high performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS), including di-phenyl phosphate (DPHP), di-m-cresylphosphate (DmCP), di-o-cresylphosphate (DoCP), di-p-cresylphosphate (DpCP), di-n-butyl phosphate (DnBP), di-iso-butyl phosphate (DiBP), bis(2-butoxyethyl) phosphate (BBOEP), and bis(2-ethylhexyl) phosphate (BEHP). Basic demographic information of mothers and children were collected through questionnaire surveys and medical records extraction. Binary logistic regression models were used to analyze the effect of individual OPFRs exposure during early pregnancy on ADHD-like symptoms, while a quantile g-computation (Qgcomp) regression model was employed to assess the effects of mixed OPFRs exposure (with detection rates >75%) on ADHD-like symptoms in 4-year-old children. ResultsIn this study, the detection rates of DPHP, DoCP, and the DmCP&DpCP in the urine of early pregnancy women were higher than 75%, with DPHP having the highest detection rate (86.18%). The median concentrations of DPHP were highest in both the case and control groups (0.396 μg·L^-1 and 0.305 μg·L^-1, respectively). Binary logistic regression analyses revealed that exposure to DPHP during early pregnancy increased the risk of ADHD-like symptoms in 4-year-old children (OR=1.262, 95%CI: 1.017‒1.565). The mixed exposure model analyses showed that early pregnancy co-exposure to OPFRs increased the risk of ADHD-like symptoms (OR=1.508, 95%CI: 1.012‒2.258), with DPHP being the primary contributor to the association. ConclusionEarly pregnancy exposure to DPHP is positively associated with an increased risk of ADHD-like symptoms in 4-year-old children. Additionally, DPHP contributed the most to the adverse effects of mixed OPFRs exposure on ADHD-like symptoms. However, these findings require further validation through other large-scale prospective cohort studies.

Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

Objective:To explore the clinical characteristics and genetic etiology of a patient with De-differentiated liposarcoma (DDLPS).Methods:A 38-year-old female patient with DDLPS who had visited Hunan Provincial People′s Hospital in January 2025 was selected as the study subject. A retrospective study method was adopted to collect the patient′s clinical data, including current and past medical history, auxiliary examinations, pathological diagnosis, and results of genetic testing. This study was approved by the Ethics Committee of Hunan Provincial People′s Hospital (Ethics No.: KY2025-150).Results:The patient had presented with abdominal pain and abdominal mass. Imaging studies revealed ascites and space-occupying abdominal lesions. Postoperative pathological examination showed that the tumor was composed of spindle cells, and its morphology and immunohistochemistry had made it difficult to distinguish between DDLPS and leiomyosarcoma. High-throughput sequencing revealed characteristic molecular alterations of DDLPS, and fluorescence in situ hybridization confirmed MDM2 gene amplification, leading to a diagnosis of DDLPS. Conclusion:The patient was diagnosed with DDLPS. Her clinical manifestations and pathological features were consistent with the characteristics of DDLPS. Molecular pathological testing played a crucial role in the diagnosis and provided a crucial reference for subsequent treatment.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Palmitoylation, an essential covalent attachment of a fatty acid (usually C16 palmitate) to cysteine residues within proteins, is crucial for regulating protein functionality and enzymatic activities. This lipid modification facilitates the anchoring of proteins to cellular membranes, dictating their subcellular distribution and influencing protein transport dynamics and intracellular positioning. Additionally, it plays a role in regulating protein degradation through the ubiquitin-proteasome system. Palmitoylation is implicated in the pathogenesis and progression of cardiovascular diseases by modulating substrates and prompting additional post-translational modifications, as well as by interacting with other molecular alterations. Moreover, an intervention strategy focusing on palmitoylation processes is anticipated to offer novel therapeutic avenues for cardiovascular pathologies and address extant challenges in clinical settings. This review consolidates current research on the role and importance of palmitoylation in cardiovascular diseases by exploring its regulatory functions, the catalyzing enzymes, and the involved substrates. It highlights recent discoveries connecting palmitoylation-targeted therapies to cardiovascular health and examines potential approaches and future challenges in cardiovascular treatment.

Natural herbs demonstrate significant therapeutic potential in managing chronic and complex diseases; however, their clinical application faces limitations due to low bioavailability, instability, toxicity, and herb-drug interactions. Furthermore, insufficient standardized evidence and global acceptance impede their widespread adoption. Liposomes, nanocarriers consisting of a phospholipid bilayer enclosing an aqueous core, present a promising approach for enhancing the pharmacokinetics and therapeutic efficacy of herbal compounds. These adaptable systems can encapsulate both hydrophilic and hydrophobic agents, enabling targeted drug delivery and enhanced stability. Moreover, liposomes can be modified to carry diagnostic and imaging agents, enabling precise disease detection and monitoring. While liposomes offer potential as an innovative delivery technology for herbal remedies, their application in Traditional Chinese Medicine (TCM) remains relatively unexplored. TCM, with its holistic, energy-based approach to health and organ function, presents distinct challenges regarding formulation and delivery. This review examines the therapeutic potential of herbal medicines, emphasizing how liposomes address delivery challenges within the TCM framework. It also investigates the integration of TCM with Western medical practices, demonstrating how liposomal systems may bridge these approaches. The review analyzes key formulation techniques for TCM-loaded liposomes, particularly the microfluidic method, which demonstrates superior control over particle size and encapsulation efficiency compared to conventional methods. The analysis addresses barriers to integrating liposomal delivery systems with TCM, including physicochemical properties, scalability issues, and regulatory challenges. Finally, this review provides strategic recommendations for overcoming these obstacles and identifies future research directions to maximize the potential of liposomal technology in enhancing TCM therapies.
Liposomes/chemistry* ; Drugs, Chinese Herbal/administration & dosage* ; Humans ; Medicine, Chinese Traditional/methods* ; Drug Delivery Systems ; Drug Carriers/chemistry* ; Animals ; Nanoparticles/chemistry*