Patients with Takayasu arteritis combined with aortic valve disease often have a poor prognosis following surgical valve replacement, frequently encountering complications such as perivalvular leakage, valve detachment, and anastomotic aneurysm. This article presents a high-risk case wherein severe aortic valve insufficiency associated with Takayasu arteritis was successfully managed through transcatheter aortic valve implantation via the transapical approach. The patient had satisfactory valve function with no complications observed during the six-month postoperative follow-up. This case provides a minimally invasive and feasible alternative for the clinical management of such high-risk patients.

ObjectiveTo investigate the functional role and underlying molecular mechanisms of fumarylacetoacetate hydrolase （FAH） in the progression of glioblastoma （GBM）. MethodsDifferential expression analysis was performed on the TCGA-GBM， GSE4290， and GSE116520 datasets. Weighted gene co-expression network analysis （WGCNA） was used to identify key modules， and Cox regression and risk modeling were used to screen prognostic genes. Immune infiltration analysis of prognostic genes was carried out by using single-cell RNA sequencing panels. The clinical expression signature of FAH in GBM was analyzed in the TCGA and HPA databases. The functional role of FAH was validated by in vitro and in vivo experiments， and pathway analysis was performed to explore the underlying mechanisms. ResultsA total of 152 overlapping genes were identified across the three GBM datasets （P<0.05）. WGCNA revealed that the turquoise module was most strongly associated with tumor purity， stromal score， immune score， and ESTIMATE score （P<0.001）. Compared with normal tissues， three prognostic genes （CTSD， FAH， and THBD） were upregulated in GBM and correlated with immune infiltration （P<0.05）. FAH mRNA and protein levels were elevated in GBM tissues relative to normal tissues， and its expression was significantly associated with age stratification and TP53 mutation （P<0.05）. CCK-8 assay results showed that， compared with the shNC group， the proliferative activity of GBM cells in the shFAH group was reduced （P<0.001）. Transwell migration and invasion assays demonstrated that， relative to the shNC group， the numbers of migrated and invaded cells in the shFAH group decreased （P<0.05）. Western blot analysis revealed that the protein expression levels of PI3K， p-AKT， and p-mTOR in the shFAH group decreased compared with those in the shNC group （P<0.05）. In vivo subcutaneous xenograft experiments further confirmed that tumor volume and weight significantly decreased in the shFAH group compared with the shNC group （P<0.001）. ConclusionFAH promotes GBM progression by activating the PI3K/AKT/mTOR signaling pathway and may serve as a potential therapeutic target for GBM.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Metastatic castration-resistant prostate cancer (mCRPC) implies highly heterogeneous molecular tumor behavior, rapid disease progression and poorer prognosis, seriously threatening the lives of patients.Therefore, early identification and treatment are significant.Among the current clinical treatment regimens for mCRPC, abiraterone acetate, enzalutamide and docetaxel have demonstrated improvement in overall survival (OS).Furthermore, patients carrying homologous recombination repair mutation (HRRm) are sensitive to poly ADP-ribose polymerase inhibitors (PARPi).For patients with positive prostate specific membrane antigen (PSMA), Lutetium-177 (177Lu)-PSMA-617 radiation ligand therapy is a new and effective treatment method.Radium-223 has also been used as the first-line treatment for patients with bone pain symptoms.However, due to the rapid updates in the field of mCRPC drug therapy, clinicians find it difficult to keep up with the latest developments in this area.Emerging drugs have great potential, such as immune checkpoint inhibitors (ICIs) and antibody-drug conjugates (ADCs), but more evidence is needed, and molecular markers helping predict the efficacy of these drugs should be explored.This article reviews the advances in the drug therapy of mCRPC, with the aim of providing reference for clinical practice.

Blood transfusion is an important life-support measure in modern medicine. As clinical demand for transfusion continues to rise, blood supply remains under persistent strain, making the efficient utilization of this precious medical resource a critical component of blood management. Accurate prediction of transfusion needs is of great significance for optimizing blood resource allocation and conserving blood products. Traditional transfusion decision-making relies on clinical experience and simplified scoring systems, which are insufficient to meet the demands of precision medicine. Machine learning (ML) technology can integrate multidimensional data—including demographic characteristics, laboratory indicators, surgical information, and dynamic physiological waveforms—to construct high-performance predictive models, offering a new approach to transfusion prediction. This article systematically reviews the application progress of ML in transfusion prediction across clinical scenarios such as trauma, the perioperative period, and obstetrics. In trauma, ML has been applied to early massive transfusion prediction, prehospital transfusion decision-making, and precise prediction in pediatric trauma. In the perioperative field, applications span specialties including traumatic brain injury, orthopedic surgery, cardiovascular and major vascular surgery, and hepatic surgery. In obstetrics, models can effectively predict postpartum hemorrhage and transfusion requirements associated with cesarean section. Studies have shown that algorithms such as random forest, gradient boosting machines, and deep neural networks achieve area under the receiver operating characteristic curve (AUC) values of 0.83-0.98 in massive transfusion prediction, 0.75-0.97 in perioperative scenarios, and 0.80-0.89 in obstetric transfusion prediction—significantly outperforming traditional scoring tools. However, current studies are generally limited by single-center retrospective designs, insufficient external validation, and inadequate reporting standards; limited model interpretability and challenges in clinical integration further constrain practical translation. Future research should focus on constructing multicenter data cohorts, integrating multimodal data, conducting prospective implementation studies, and deeply embedding models within electronic health record systems, thereby advancing the application of ML to optimize clinical transfusion decision-making.

Objective: To explore the effect of relative deprivation on emotional attention among college students from single parent families, so as to provide evidence for psychological crisis prevention and campus mental health services. Methods: From January to June 2023, 478 college students from North China University of Science and Technology were selected by convenience sampling method. Participants with high and low levels of relative deprivation were screened by using the extreme grouping method, and 48 valid participants were finally included. A 2 (single parent/non single parent) ×2 (high/low relative deprivation) design was adopted. One way ANOVA was conducted on four eye tracking indicators, followed by stratified analyses according to family structure. Results: Overall, participants showed attentional bias toward low valence faces, as indicated by first fixation direction ( t = 2.17) and first fixation duration proportion ( t =-4.28) (both P <0.05). Three factor repeated-measures ANOVA showed a significant interaction between family structure and picture type ( F =23.08, P <0.05). Stratified analysis showed that, in the single parent subgroup, the interaction between relative deprivation and picture type was significant ( F =13.28, P <0.01), whereas this interaction was not significant in the non single parent subgroup ( F =2.18, P >0.05). Further interaction analysis showed that relative deprivation had a partial interaction effect between singleparent background and emotional attentional bias ( β =0.14, Bootstrap 95% CI =0.11-0.47, P <0.05). Conclusions College students from single parent families may show enhanced attentional bias toward negative emotional cues through increased relative deprivation. Students with both single parent background and high relative deprivation are a high risk group.

ObjectiveTo explore the potential mechanism of acupuncture with the method of soothing the liver and regulating the mind in improving depressive disorder. MethodsEighteen C57BL/6J mice were randomly divided into blank group， model group， and acupuncture group， with 6 mice in each group. The model group and the acupuncture group were subjected to depression induction by intraperitoneal injection of lipopolysaccharide （LPS）， while the blank group received an equal volume of normal saline once daily for seven consecutive days. Concurrently， the acupuncture group received "soothing the liver and regulating the mind" acupuncture intervention starting from the first day of modeling， once daily for 14 days； whereas the blank group and the model group were only restrained without acupuncture. The sucrose preference test was used to assess sucrose preference rate， the open-field test to measure center stay time and total travel distance， and the forced swim test to evaluate immobility time. Hematoxylin-eosin （HE） staining was performed to observe hippocampal morphological changes. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） in hippocampal tissue. Western blot analysis was conducted to examine the protein expression levels of Toll-like receptor 4 （TLR4） and nuclear factor-κB （NF-κB） in the hippocampus. ResultsCompared to the blank group， the model group showed a significant reduction in sucrose preference rate， center stay time， and total travel distance， along with a significant increase in immobility time in the forced swim test， hippocampal IL-1β， IL-6， and TNF-α levels， as well as TLR4 and NF-κB protein expression （P＜0.01）， and the histological examination revealed blurred hippocampal neuronal boundaries， loose arrangement， and some neurons exhibiting nuclear pyknosis and deep staining. Compared to the model group， the acupuncture group demonstrated a significant increase in sucrose preference rate， center stay time， and total travel distance， along with a significant reduction in immobility time in the forced swim test， hippocampal IL-1β， IL-6， and TNF-α levels， and TLR4 and NF-κB protein expression （P＜0.01）， and the histological analysis showed that hippocampal neurons in the acupuncture group were more tightly arranged， with reduced nuclear pyknosis and deep staining. ConclusionAcupuncture with the "soothing the liver and regulating the mind" method can significantly improve depression-like behavior， potentially by inhibiting the hippocampal TLR4/NF-κB signaling pathway and alleviating inflammatory responses.

To introduce the general thinking, guidelines, work objectives and elaboration process of the general technical requirements adopted by volume Ⅳ of the Chinese Pharmacopoeia 2025 Edition, and to summarize and figure out the main characteristics on dosage forms, physico-chemical testing, microbial and biological testing, reference standards and guidelines The newly revised general chapters of pharmacopoeia give full play to the normative and guiding role of the Chinese Pharmacopoeia standard, track the frontier dynamics of international drug regulatory science and the elaboration of monographs, expand the application of state-of-the-art technologies, and steadily promote the harmonization and unification with the ICH guidelines； further enhance the overall capacity of TCM quality control, actively implement the 3 R principles on animal experiments, and practice the concept of environmental-friendly； replace and/or reduce the use of toxic and hazardous reagents, strengthen the requirements of drug safety control This paper aims to provide a full-view perspective for the comprehensive, correct understanding and accurate implementation of general technical requirements included in the Chinese Pharmacopoeia 2025 Edition.

BACKGROUND:The use of 3D-printed patient-specific instruments in opening wedge high tibial osteotomy has advantages such as shorter operative time,fewer fluoroscopic exposures,and higher correction accuracy.However,previous studies have reported issues such as significant damage to surrounding soft tissues and improper fixation of the plates. OBJECTIVE:To investigate the clinical efficacy of using 3D-printed patient-specific instruments combined with customized locking plate in opening wedge high tibial osteotomy for the treatment of knee osteoarthritis. METHODS:A total of 20 patients diagnosed with knee osteoarthritis were divided into the 3D group(n=10)and the conventional group(n=10)according to surgical methods.The 3D group underwent opening wedge high tibial osteotomy using 3D-printed patient-specific instruments combined with customized locking plate,while the conventional group underwent opening wedge high tibial osteotomy using conventional methods.The operative time,fluoroscopic exposures,incision length,pre-and postoperative hip-knee-ankle angle,medial proximal tibial angle,posterior tibial slope,the difference between the planned and actual correction angle,preoperative and 1,3,6 months postoperative knee range of motion and Lysholm score,and incidence of complications were analyzed and compared between the two groups. RESULTS AND CONCLUSION:(1)The operative time and fluoroscopic exposures were significantly shorter in the 3D group compared to the conventional group,with a statistically significant difference(P<0.001).(2)Both groups showed a significant improvement in postoperative hip-knee-ankle angle and medial proximal tibial angle compared to preoperative values,with a statistically significant difference(P<0.001),while there was no significant change in posterior tibial slope.In the 3D group,the postoperative hip-knee-ankle angle,medial proximal tibial angle,and posterior tibial slope differed from their respective preoperative planned values by(-0.22±0.72)°,(-0.20±0.73)°,and(0.23±0.37)°,but the differences were not statistically significant.The difference between the planned and actual correction angle of 3D group was significantly smaller than that of conventional group(P<0.05).(3)Both groups showed a gradual increase in knee range of motion and Lysholm scores after surgery(P<0.001).Compared to the conventional group,the 3D group had superior knee range of motion at 1 and 3 months postoperatively,as well as a higher Lysholm score at 1 month postoperatively,with statistically significant differences(P<0.05).There were no statistically significant differences in Lysholm score at 3 months and knee range of motion and Lysholm score at 6 months between the two groups(P>0.05).(4)Complications occurred in neither groups.(5)The above results indicate that both 3D-printed patient-specific instruments combined with customized locking plate and conventional methods have good clinical efficacy.However,the former has a shorter operative time,fewer fluoroscopic exposures,and faster postoperative recovery of knee joint function.Additionally,3D-printed patient-specific instruments can achieve preoperative planning accurately.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.