Objective To systematically analyze the characteristics of the disease burden of hypertensive heart disease (HHD) in the elderly (≥60 years) globally and in China from 1990 to 2021, and to predict its future trends from 2022 to 2040, with the aim of providing data support for optimizing comprehensive prevention and control strategies for HHD. Methods Based on the Global Burden of Disease (GBD) 2021 database, the number of prevalent cases and disability-adjusted life years (DALYs) of HHD in the elderly were extracted for the world, China, and five regions categorized by sociodemographic index (SDI). Joinpoint regression was used to analyze the temporal trends of age-standardized prevalence rate and age-standardized DALYs rate of HHD in the elderly. A three-factor decomposition method was applied to evaluate the relative contributions of aging, population growth, and epidemiological changes to the variations in the elderly HHD burden. Additionally, a Bayesian age-period-cohort model was used to predict the elderly HHD burden from 2022 to 2040. Results In 2021, the number of prevalent elderly HHD cases reached 10 283 000 globally and 3 412 400 in China, representing increases of 179.20% and 159.20% respectively, compared with 1990. The DALYs of elderly HHD were 18 812 700 person-years globally and 4 731 400 person-years in China, rising by 76.08% and 29.45% respectively from 1990. Meanwhile, the growth rates of the number of prevalent cases and DALYs of elderly HHD varied across different SDI regions. From 1990 to 2021, the age-standardized prevalence rate of elderly HHD in China, as well as the age-standardized DALYs rate of elderly HHD both globally and in China, showed significant downward trends (all average annual percentage changes<0, all P<0.001). In 2021, the 70-74 years age group accounted for the highest proportion of prevalent cases and DALYs of elderly HHD, both globally and in China. Decomposition analysis revealed that population growth was the dominant factor driving the increase in the elderly HHD burden across all regions. The prediction model results indicated that the number of prevalent cases and DALYs of elderly HHD would continue to rise globally and in China from 2022 to 2040, with the growth rate of the elderly HHD burden in China between 2021 and 2040 expected to exceed the global average. Conclusion Over the past 32 years, although the age-standardized disease rates of elderly HHD have mainly shown a downward trend globally and in China, the absolute number of the disease burden has increased substantially. The projection model indicates a continued upward trajectory, with the growth rate in China higher than the global average. Therefore, there is an urgent need to implement precise prevention and control strategies to effectively mitigate the disease burden of elderly HHD.

OBJECTIVE To analyze adverse drug reactions （ADRs） in pediatric patients with Mycoplasma pneumoniae pneumonia （MPP）， and investigate the influential factors associated with the occurrence of ADRs. METHODS Clinical records of pediatric patients with MPP in Xinxiang Central Hospital （hereinafter referred to as “our hospital”） from Oct. 1st， 2023 to Sept. 30th， 2024 collected from the Hospital Information System were retrospectively reviewed using the global trigger tool （GTT）. The positive triggers were further reviewed to confirm the occurrence of ADRs， and the characteristics of those ADRs were analyzed. The children were divided into the ADR group and the non-ADR group. Univariate analysis and multivariate Logistic regression analysis were performed to investigate the potential influential factors for ADRs in MPP children. RESULTS A total of 1 325 MPP children were included. Out of 24 designed triggers， 14 were positive， with a positive trigger rate of 58.3%. There were 1 301 positive trigger cases， involving 846 pediatric patients. After assessment， 399 cases of ADRs were identified in 372 pediatric patients， yielding a positive predictive value of triggers at 30.7%. The main types of ADRs were abnormal blood cells （230 cases， 57.6%）， skin and its appendages damage （78 cases， 19.5%）， and gastrointestinal system damage （42 cases， 10.5%）， which predominantly occurred 4 days or more， within 2-3 days and within 2-3 days after medication， respectively. They were more prevalent in pediatric patients aged＞3-10 years （295 cases， 79.3%）. The major categories of drugs associated with ADRs included intravenous corticosteroids （209 cases）， cephalosporins （180 cases）， macrolides （38 cases）， tetracyclines （28 cases） and traditional Chinese medicine （TCM） injections （28 cases）. These ADR reports were classified into 3 types： 1 serious case， 394 general cases and 4 new cases. In terms of causality assessment， 1 case was assessed as certain， 19 cases as probable， and 379 cases as possible. In terms of ADR outcomes， 151 cases fully recovered， while the outcomes for 248 cases remained unknown. Univariate analysis and multivariate Logistic regression analysis revealed that a history of allergies [OR＝5.231， 95%CI （2.004， 13.656）， P＜0.05]， the number of medications used [OR＝1.064， 95%CI （1.027， 1.103）， P＜0.05]， and intravenous corticosteroid administration [OR＝3.223， 95%CI （2.341， 4.437）， P＜0.05] were independent risk factors of ADRs in pediatric patients with MPP. The use of azithromycin [OR＝0.544， 95%CI （0.376， 0.786）， P＜0.05] was identified as an independent protective factor against the occurrence of ADRs in pediatric patients with MPP. CONCLUSIONS Children with MPP in our hospital exhibit a higher incidence of ADRs， primarily involving abnormal blood cells， skin and its appendages damage， and gastrointestinal system damage. A history of allergies， the number of medications used， intravenous corticosteroid administration， and the use of azithromycin are associated with the occurrence of ADR in MPP pediatric patients.

Objective:To compare the prognostic performance of six trauma scoring systems—Injury Severity Score (ISS), Acute Physiology and Chronic Health EvaluationⅡ (APACHE Ⅱ), Sequential Organ Failure Assessment (SOFA), Prehospital Index (PHI), Revised Trauma Score (RTS), and the Circulation, Respiration, Abdomen, Motor, Speech (CRAMS) score—in predicting 28-day mortality among patients with severe trauma in Southwest China.Methods:A retrospective cohort study was conducted involving 479 patients with severe trauma admitted to the First Affiliated Hospital of Army Medical University between January 2018 and October 2023. Inclusion criteria were: ① age ≥16 years; ② Injury Severity Score (ISS) ≥16; ③ admission within 24 hours post-injury. Exclusion criteria included: ① severe underlying chronic conditions; ② burns or electrical injuries; ③ incomplete clinical data. Based on 28-day outcomes, patients were stratified into a survival group ( n=424) and a death group ( n=55). All patients received standardized resuscitation and damage control interventions. Prehospital scores (PHI, RTS, CRAMS) were recorded at admission. In-hospital scores (ISS, APACHE Ⅱ, SOFA) were calculated using the worst physiological parameters within the first 24 hours. The Mann-Whitney U test was used for group comparisons. Discriminative ability was assessed by the area under the receiver operating characteristic curve (AUC), with pairwise comparisons using DeLong's test. Decision curve analysis (DCA) was performed to evaluate net clinical benefit. Results:The RTS and CRAMS scores were significantly higher in the survival group, whereas ISS, APACHE Ⅱ, SOFA, and PHI scores were significantly lower in the death group (all P<0.05). The AUC values for predicting 28-day mortality, in descending order, were: APACHE Ⅱ (0.917), RTS (0.897), SOFA (0.873), PHI (0.848), CRAMS (0.831), and ISS (0.708). No significant difference in AUC was found between APACHE Ⅱ and RTS ( P=0.325). DCA showed that across most decision thresholds, both APACHE Ⅱ and RTS provided greater net clinical benefit than "treat-all" or "treat-none" strategies and other scores. Conclusions:Among the six scoring systems, APACHE Ⅱ demonstrated the highest predictive accuracy for 28-day mortality in severe trauma patients, though its efficacy was comparable to RTS. DCA confirmed their superior clinical utility. A two-phase assessment strategy—using prehospital RTS for rapid triage followed by in-hospital APACHE Ⅱ for dynamic monitoring—is recommended to optimize clinical decision-making and improve patient outcomes in Southwest China.

Microfluidic chips have revolutionized analytical sciences through miniaturization and high-throughput capabilities.However,conventional static devices are constrained by fixed architectures,functional rigidity,and high customization costs.In recent years,,the emerging configurable and reconfigurable microfluidic technologies have provided solutions for these limitations through dynamic adaptability.Configurable systems enable post-fabrication customization via modular assembly or boundary modification,offering cost-effective functional versatility.Reconfigurable microfluidics represents a more advanced paradigm,incorporating real-time decision-making and dynamic control through physical/virtual boundary adjustments during operation.These adaptive systems enable precise manipulation of microenvironments for applications ranging from single-cell manipulation to dynamic biochemical synthesis.In this review,a ″static-dynamic boundary″ framework to systematically analyze both technologies was proposed,and the design rationales,operational mechanisms,and implementation strategies were compared.The development history of these two techniques was introduced,and the applications demonstrated their transformative potential in developing intelligent lab-on-chip systems,while technical challenges in standardization and control interfaces were critically assessed.The development trend on integrating smart materials and AI-driven automation to advance next-generation adaptive microfluidic platforms was prospected.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

To analyze the disease burden of hypertension in the elderly population from 1990 to 2021 and to predict future trends in China and globally, thereby providing insights for public health decision-making regarding older adults with hypertension in China.

Hepatocellular carcinoma(HCC)expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming.Aldolase A(ALDOA)plays a prominent role in glycolysis;however,little is known about its role in HCC development.In the present study,we aim to explore how ALDOA is involved in HCC proliferation.HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout,which is consistent with ALDOA overexpression encouraging HCC prolifera-tion.Mechanistically,ALDOA knockout partially limits the glycolytic flux in HCC cells.Meanwhile,ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase;ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function.A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun,and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells.In HCC patients,the expression level of ALDOA was correlated with the phosphorylation level of c-Jun(Thr93)and poor prognosis.Remarkably,hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models,and the knockdown of Aldoa strikingly decreased HCC development in vivo.Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription,opening additional avenues for anti-cancer therapies.

Objective:To investigate the inpact of thyroid cancer-derived cancer-associated fibroblasts(CAF) autophagy on papillary thyroid cancer(PTC).Methods:CAF and normal fibroblasts were isolated from cancerous and adjacent normal thyroid tissues from four PTC patients. Expressions of fibroblast activation protein(FAP) and α-smooth muscle actin in cells were assessed. Conditioned medium of CAF and normal fibroblasts were prepared and used to culture PTC cells. The effects of CAF and normal fibroblasts on survival, proliferation, migration, invasion and iodine uptake of PTC cells were evaluated through cell proliferation assay, cell scratch assay, cell invasion assay, and cell iodine uptake assay. The autophagy level of CAF was also evaluated. Autophagy inhibition and activation were used to regulate the autophagy of CAF, and then their effects on PTC cell proliferation, migration and invasion were further evaluated. The in vivo effect of CAF autophagy on PTC xenograft tumor growth was evaluated.Results:CAF exhibited higher FAP expression and basal autophagy levels. PTC cells co-cultured with CAF-conditioned media showed enhanced proliferation, migration, invasion, and reduced iodine uptake. Autophagy inhibition reduced these effects, while autophagy activation further promoted them. In vivo, inhibiting CAF autophagy suppressed tumor growth.Conclusions:CAF promotes PTC cell malignancy through autophagy activation, enhancing proliferation, migration, and invasion while reducing iodine uptake.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

Aim To verify the therapeutic effect of the Qushi Huoxue decoction(QSHXF)on a mouse model of non-alcoholic fatty liver disease(NAFLD)using network pharmacology and experimental approaches,to examine the changes in the PI3K-AKT-lipid metabo-lism signaling pathway,and to elucidate its molecular mechanisms.Methods The potential active ingredi-ents and targets of the QSHXF were identified using the TCMSP platform.NAFLD-related genes were sourced from the GeneCards,PharmGkb,TTD,and OMIM data-bases.The intersection of drug targets and NAFLD treatment targets was analyzed to identify the key tar-gets of the QSHXF in treating NAFLD.The STRING database and Cytoscape 3.9.1 software were utilized to construct networks linking traditional Chinese medicine active ingredients to disease targets and PPI networks,allowing for the screening of key active ingredients and core targets.GO and KEGG enrichment analyses of the intersecting targets were conducted using R version 4.2.2.The NAFLD model was established by feeding mice a methionine-choline deficient diet for a duration of five weeks.Following successful modeling,low,me-dium,and high doses of the QSHXF were administered for intervention over a period of six weeks.The efficacy was verified and the underlying mechanisms were ex-plored using methods such as HE staining,Oil Red O staining,and Western blot analysis.Results The net-work pharmacology prediction indicated that QSHXF might effectively treat NAFLD through key components such as quercetin and kaempferol,as well as core tar-gets including STAT3,AKT1,and HIF1A.KEGG en-richment analysis further suggested that QSHXF might exert its therapeutic effects on NAFLD via signaling pathways such as AGE-RAGE and PI3K-AKT.Verifi-cation through animal experiments demonstrated that QSHXF could significantly reduce hepatic steatosis and lipid droplet accumulation in NAFLD mice.Specifical-ly,it markedly decreased serum levels of TC,TG,ALT,AST,and LDL,while increasing HDL levels.Addition-ally,the treatment significantly reduced the protein ex-pression levels of p-PI3K,p-AKT,SREBP-1c,FASN,and ACC1 in the liver.Conclusions QSHXF can sig-nificantly enhance liver function,improve blood lipid levels,and alleviate hepatic steatosis in NAFLD mice,with its mechanism potentially linked to the inhibition of the PI3K-AKT-lipid metabolism signaling pathway.