A 51-year-old male presented with nasal obstruction, followed by progressive hearing loss and blurred vision. Imaging identified space-occupying lesions in the paranasal sinuses, orbits, and paraspinal regions, while laboratory tests confirmed positive anti-proteinase 3 anti-neutrophil cytoplasmic antibody(PR3- ANCA) immunoglobulin G (IgG)and markedly elevated serum IgG4. Despite treatment with corticosteroids, immunosuppressants, and radiotherapy, the patient exhibited steroid dependency with relentless disease progression. Following multidisciplinary consultation, a diagnosis of inflammatory myofibroblastic tumor (IMT) coexisting with ANCA- associated vasculitis (AAV) was favored, though IgG4-related disease remained a critical differential. Ultimately, profound immunosuppression precipitated a severe herpesvirus infection, leading to disseminated intravascular coagulation and multiple organ dysfunction syndrome. This case underscores the rarity and diagnostic complexity of concurrent IMT and AAV, highlights the therapeutic dilemma of balancing primary disease control against fatal opportunistic infections, and emphasizes the critical role of multidisciplinary collaboration in the diagnosis and treatment of complex diseases.

Objective To explore the mechanism of the intervention effect of Qizhu Xiaozheng Fang(QZXZF),a representative prescription of Yiqi Jianpi Jiedu(replenishing qi,strengthening spleen,and removing toxicity),in treating HBx-mediated liver cancer stem cells(LCSCs).Methods The Kaplan-Meier survival analysis was used to investigate the effects of Yiqi Jianpi Jiedu on the prognosis of patients with HBV-HCC.The network pharmacology method was utilized to predict the targets and pathways of QZXZF in treating HBx-related LCSCs(HBx-LCSCs).HBx-LCSCs cells were screened by stably transfecting HBx and serum-free culture.The therapeutic effect of QZXZF on HBx-LCSCs was tested in vitro,and its effect on stemness markers and PI3K/Akt pathway was verified by qRT-PCR and Western blot.Results Yiqi Jianpi Jiedu could improve the overall survival time of HBV-HCC patients.Combined with the results of network pharmacology,the mechanism of action of QZXZF against HBx-LCSCs was explored from the PI3K/Akt pathway.Compared with the blank vector group,HBx can promote the expression of stemness markers in HBx-LCSCs cells;compared with the HBx-LCSCs control group,QZXZF could significantly inhibit the proliferation and colony formation of HBx-LCSCs cells(in a concentration-dependent manner),and could reduce the expression of stemness markers(EpCAM,NANOG,SOX2,and OCT4),phosphorylated PI3K(p-PI3K)and phosphorylated AKT(p-AKT)proteins.Conclusion QZXZF may regulate HBx-mediated LCSCs through PI3K/AKT pathways,providing a reference for the mechanism of TCM intervention in LCSCs.

This document targets digital human metabolic chamber platforms and specifies construction standards and testing protocols covering the full lifecycle of " build-test-operate." It encompasses chamber engineering and environmental control, digital platform and cybersecurity architecture, metabolic measurement and multimodal data acquisition, as well as quantitative system performance and data quality indicators with verifiable acceptance tests. By standardizing architecture, interfaces, and quality control, the specification enables multicenter data interoperability and harmonized quality management, providing high-quality, verifiable, and traceable infrastructure to support precision metabolism research and clinical translation in China.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Alzheimer's disease(AD),a neurodegenerative disorder,manifests pathological changes in the brain even during the asymptomatic stage.As the pathological burden intensifies,patients experience functional decline in multiple cognitive domains,including memory,language,spatial perception,executive function,and calculation,and may also exhibit emotional abnormalities.Once AD progresses,treatment becomes extremely chal-lenging.Therefore,early diagnosis and accurate prediction of disease conversion are core tasks in the prevention and treatment of AD,and they are also urgent scientific research challenges to be overcome.Deep learning(DL)models demonstrate considerable advantages in the diagnosis,prediction,classification,and feature extraction of AD,offering new hope for solving this challenging problem.This research commences with a concise introduction to the outcomes of AD and the fundamental knowledge of deep learning.Subsequently,it offers an overview of the imaging studies on the utilization of deep learning for predicting disease transformation from two perspectives.Firstly,it systematically summarizes the existing DL models that have demonstrated innovation in the classification and prediction performance of AD.Secondly,it provides a comprehensive outline of the DL fusion models applied to the diagnosis,classification,and prediction of AD.Finally,this paper expounds upon the impending challenges in the research of this domain.This article demonstrates that deep learning models is cutting-edge trends in the ex-ploration of AD research.

Alzheimer disease(AD)is a neurological disease characterized by cognitive decline.AD continuum refers to the dynamic development progression from early pathological changes to obvious clinical symptoms,covering the continuous spectrum of subjective cognition decline(SCD)stage,mild cognitive impairment(MCI)stage and dementia stage.As one of the key brain regions involved in early stage,hippocampus(HP)in AD continuum is closely related to the progression of disease.MRI has been widely used in the study of HP in the AD continuum.The progresses in structural and functional MRI research of HP changes in AD continuum were reviewed in this article.

Objective:To integrate and analyze the trend of the disease burden of tracheal,bronchus,and lung cancer(TBL)attributable to secondhand smoke in China from 1990 to 2021 and to analyze future projections,aiming to provide data support for the prevention and treatment of TBL in China.Methods:Based on the global burden of disease(GBD)2021 database,TBL with ICD-10 disease classification C33,C34-C34.92 was studied.Using secondhand smoke as a risk factor,the data on TBL mortality and disability-adjusted life year(DALY)due to secondhand smoke in China from 1990 to 2021 were further age-standardized.Using Joinpoint 4.7.1 regression analysis model to calculate annual percentage change(APC)and average annual percentage change(AAPC),Hiplot software was used to plot disease burden data for different ages and genders,and R 4.3.1 software was used to construct a grey model GM(1,1)to predict the predicted value and trend of TBL disease burden attributed to secondhand smoke in China from 2022 to 2031.Results:From 1990 to 2021,the TBL mortality rate,age-standardized mortality rate,and DALY rate attributed to secondhand smoke in China increased from 1.76/100 000,2.63/100 000,and 49.43/100 000 to 4.08/100 000,2.80/100 000,and 95.57/100 000,respectively;the growth was 131.18%,6.45%,and 93.34%;the age-standardized DALY rate decreased from 65.04/100 000 to 63.32/100 000 with the reduction of 2.65%.The results of the Joinpoint regres-sion showed that the AAPC(95%CI)of mortality,age-standardized mortality rate,and DALY rate for TBL were 2.75(2.58-2.93)%,0.16(0.11-0.21)%,and 2.15(2.11-2.18)%,respectively,with an overall increasing trend;the AAPC(95%CI)of age-standardized DALY rate was-0.14(-0.40-0.12)%,with an overall fluctuating and unchanged trend and it was higher in males than in females.In both 1990 and 2021,the TBL mortality rate attributable to secondhand smoke in China gradually increased with age,and the DALY rate first increased and then slowed down with age.The main groups of the burden of disease were the elderly and males.The grey prediction model GM(1,1)showed that the age-standardized mortality rate of TBL attributable to secondhand smoke from 2022 to 2031 showed a slow increasing trend,and the predicted value in 2031 would increase to 2.95/100 000.The age-standardized DALY showed a slow decreasing trend,and the predicted value in 2031 would decrease to 63.83/100 000.Conclusions:From 1990 to 2021,the TBL mortality,age-standardized mortality,and DALY rates attributable to secondhand smoke in China increased,and the age-standardized DALY rate decreased.Men and the elderly are the main groups affected by TBL.Appropriate measures should be formulated to reduce exposure to and contact with secondhand smoke,tak-ing into account gender and age differences.Additionally,efforts should be made to strengthen secondhand smoke prevention and public health education.

Objective To review the research of safe injection protocols for peripheral norepinephrine(pNE),to make clear the main contents of safe injection protocols and the compliance of clinical implementation protocols,and to provide reference for clinical nurses to use drugs safely.Methods Systematic searches were conducted in the PubMed database,the Embase database from the Netherlands,the Web of Science,the Cochrane library,CNKI,Wanfang database,VIP,and the China biomedical literature database for studies related to safe injection protocols for pNE.The search period extended from the establishment of the databases to April 30,2024.Two researchers conducted data extraction and summary analysis of the included literature.Results A total of 10 articles were incorporated,including 2 guidelines,4 observational retrospective cohort studies,2 observational prospective cohort studies,2 ambispective cohort study.All documents provide a complete safe injection scheme of pNE,and its main contents were as follows:the drug concentration should be diluted to 8～64 mg/L;the injection dose should be small,and the maximum dose should not exceed 0.5 μg·kg-1·min-1 or 25 μg/min;a short infusion time was appropriate,among which 4 schemes require≤24 hours;intravenous catheters should be large-bore models,mainly 16,18 and 20 G;selection of infusion sites with favorable venous conditions of upper limb should be selected for injection;during infusion,regular and effective monitoring was required,and the frequency of monitoring should be once an hour,not exceeding a maximum of 2 hours;observation of the puncture site,and must assess whether there was blood return to the venous pathway,develop an emergency plan for drug extravasation.Several studies provided the compliance analysis of the protocol.The items with the highest compliance were using the drug concentration specified in the protocol,with the highest implementation rate of 100.0%.The items with low compliance were:using ultrasonic catheterization or evaluation,with minimum 26.6%;monitor according to the specified time frequency,with a minimum of 36.0%;selection of infusion sites,with a minimum of 65.0%.Conclusion The pNE is safe and feasible in emergency situations,but it comes with numerous risks and limitations.Norepinephrine(NE)should be administered at low concentrations and small doses,using large-caliber venous indwelling needles,and choosing optimal injection sites.Ultrasound assessment and localization can be used if conditions permit.Short-term infusion is preferred,and effective monitoring should be conducted at regular intervals during the infusion.Emergency plans for drug extravasation should be established.Developing safe injection protocols can reduce the incidence of adverse events such as extravasation.

Alzheimer's disease(AD),a neurodegenerative disorder,manifests pathological changes in the brain even during the asymptomatic stage.As the pathological burden intensifies,patients experience functional decline in multiple cognitive domains,including memory,language,spatial perception,executive function,and calculation,and may also exhibit emotional abnormalities.Once AD progresses,treatment becomes extremely chal-lenging.Therefore,early diagnosis and accurate prediction of disease conversion are core tasks in the prevention and treatment of AD,and they are also urgent scientific research challenges to be overcome.Deep learning(DL)models demonstrate considerable advantages in the diagnosis,prediction,classification,and feature extraction of AD,offering new hope for solving this challenging problem.This research commences with a concise introduction to the outcomes of AD and the fundamental knowledge of deep learning.Subsequently,it offers an overview of the imaging studies on the utilization of deep learning for predicting disease transformation from two perspectives.Firstly,it systematically summarizes the existing DL models that have demonstrated innovation in the classification and prediction performance of AD.Secondly,it provides a comprehensive outline of the DL fusion models applied to the diagnosis,classification,and prediction of AD.Finally,this paper expounds upon the impending challenges in the research of this domain.This article demonstrates that deep learning models is cutting-edge trends in the ex-ploration of AD research.

Objective:To systematically evaluate the effect of the Dietary Approaches to Stop Hypertension (DASH) diet on common metabolic diseases.Methods:Following the PICOS framework to construct the search formula, we systematically searched the Web of science, PubMed, Cochrane Library, CNKI, Wanfang, and VIP databases for randomized controlled trials (RCTs) investigating the effect of the DASH diet on multiple metabolic indices including body weight, body mass index (BMI), fasting blood glucose, triglycerides, systolic blood pressure (SBP), and diastolic blood pressure (DBP) in patients with metabolic disorders (e.g., obesity, diabetes mellitus, and hypertension) published both in China and abroad from 1 January 2000 to 31 December 2023. The search terms were combinations of MeSH and free-text terms, and the raw data obtained from the search were screened according to the inclusion and exclusion criteria to determine the articles that were finally included in the analysis. The differences in these metabolic indices were compared between the intervention group group (using DASH diet) and the control group. The quality of the studies was assessed quantitatively using the modified Jadad scale and qualitatively using the Risk of Bias 2 (RoB 2) tool by two reviewers independently. Data analysis was conducted using Stata 18.0 software, with the I 2 test for heterogeneity evaluation and funnel plots for qualitative assessment of publication bias. Results:A total of 13 RCTs were included, involving 1 653 participants. Meta-analysis showed that the intervention group had more favorable effects on SBP ( SMD:-0.91, 95%CI: -1.55–-0.27; Z=-2.79, P<0.005) and DBP ( SMD: -0.98, 95%CI: -1.62–-0.33; Z=-2.96, P<0.05) than the control diet. Fasting blood glucose ( SMD: 0.21, 95% CI: 0.01–0.41; Z=2.06, P=0.04) was statistically significant. There were no significant differences in body weight, BMI, fasting blood glucose, and triglyceride outcomes betweeen these two groups. Conclusions:DASH diet is effective in controlling SBP and DBP in patients with metabolic disorders and may be useful in clinical adjunctive therapy. However, current evidence does not support an independent improvement in glycolipid metabolic markers.