Background In 2021, chronic obstructive pulmonary disease (COPD) emerged as the forth leading cause of death in the world. However, the impact of air pollutants on COPD is still inconsistent across current studies. Objective To analyze the relationship between ambient sulfur dioxide (SO₂) exposure and hospital admissions for COPD in Lanzhou, and to examine the modified effects of SO₂ across different genders, age groups, and seasons. Methods A total of 20718 hospital admission records for COPD were collected from Lanzhou between 2016 and 2020, alongside synchronized data on SO₂ concentration and meteorological variables. A generalized additive model integrated with a distributed lag nonlinear model was used to assess the relationship and the lag effects between SO₂ exposure and COPD admissions. Potential confounders, including meteorological factors, day-of-the-week effect, and holidays, were controlled for, with a maximum lag period set at 7 d. Two-pollutant models and sensitivity analyses were conducted to ensure robustness. Results are expressed as relative risks (RR) with 95% confidence intervals (95%CI). Results During the study period, the average daily number of COPD admissions was 11.34±7.03. The average mass concentration of SO₂ was (23.72±12.35) μg·m⁻³. SO₂ exposure was positively correlated with COPD admissions; specifically, each 10 μg·m⁻³ increase in SO₂ concentration was associated with an RR of 1.440 (95%CI: 1.317, 1.573). Stratified analyses found that at a cumulative lag of 7 d, the RRs were higher among females, individuals aged ≥65 years, and during the cold season. Conversely, no significant increase in COPD admission risk related to SO₂ was observed during the warm season. For every 10 μg·m⁻³ increase in SO₂ concentration, the RR was 1.483 (95%CI: 1.311, 1.678) for females, 1.441 (95%CI: 1.311, 1.583) for those aged > 65 years， and 1.595 (95%CI: 1.313, 1.937) during the cold season. Conclusion Short-term exposure to ambient SO₂ exposure in Lanzhou is associated with an increased risk of COPD admission. The association is more pronounced among females, the elderly (aged> 65 years) and during the cold season.

Pneumoconiosis is a chronic interstitial lung disease caused by occupational exposure to mineral dust, characterized by persistent inflammation and progressive pulmonary fibrosis. Effective therapeutic options, however, remain limited. Recent multi-omics studies have revealed that glucose metabolic reprogramming, particularly the abnormal activation of glycolysis, plays a critical role in the pathogenesis of fibrotic diseases. This review summarized the key components involved in glycolytic reprogramming, including rate-limiting enzymes such as hexokinase, phosphofructokinase, pyruvate kinase, and lactate dehydrogenase, as well as regulatory factors such as hypoxia-inducible factor-1α (HIF-1α) and AMP-activated protein kinase (AMPK). Their roles in metabolic regulation and fibrogenesis were elaborated. Special emphasis was placed on alveolar macrophages and fibroblasts, in which enhanced glycolysis and lactate accumulation drive inflammatory responses and collagen deposition, contributing to disease progression. Advances on pharmacological agents such as nintedanib, 2-deoxyglucose, quercetin, metformin, and resveratrol were reviewed, highlighting their antifibrotic potential through modulation of glycolytic enzymes or related signaling pathways. Additionally, the interactions between glycolysis and fatty acid metabolism, amino acid metabolism, and oxidative phosphorylation were discussed, underscoring the significance of multi-pathway coupling in pneumoconiosis. Metabolic abnormalities in pneumoconiosis result from multi-level interactions across cells, molecules, and tissues. Consequently, future therapeutic strategies should shift from single-target interventions toward coordinated regulation of multiple pathways, integrating tissue-targeted drug delivery, metabolism-based stratified interventions, and multi-target combination therapies to achieve precision and personalized treatment.

Background Exposure to volatile organic compounds (VOCs) has been observed in both living and working environments. Volatile organic compounds metabolites (VOCMs) in urine can be used to assess the exposure to VOCs and potentially cause adverse effects on human body. Objective To quantitatively evaluate urinary VOCMs and their associations with renal function damage, and further trace the characteristics of potential environmental exposure to provide scientific evidence for effective prevention measures. Methods The study included a total of 6028 samples from four cross-sectional studies in the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018, with exposure and health outcomes matched. Generalized linear models were employed to assess the associations of urinary VOCMs (urinary creatinine adjusted) with urinary protein levels and estimated glomerular filtration rate (eGFR), with coviriables including gender, age, body mass index, education, smoking, alcohol consumption, exercise frequency, diabetes, and hypertension. Weighted quantile sum (WQS) approach was utilized to analyze the effects of mixed exposure and to rank the contribution of individual VOCMs. The associations between VOCMs and associated living environments and occupational exposure characteristics were further investigated. Results Among the enrolled study participants (n=6028), a total of 11 urinary VOCMs were measured, with 10 metabolites having a positive rate of over 80% (84.59%-99.99%). There were 604 individuals (10.0%) having urinary protein abnormalities and 2831 individuals (47.0%) with eGFR reduced. Through a single and a multiple generalized linear model, 5 VOCMs exhibited statistically significant associations with urinary protein abnormalities and/or reduced eGFR levels (P<0.05): N-acetyl-S-(N-methylaminocarbonyl)-L-cysteine (AMC), N-acetyl-S-(2-carboxyethyl)-L-cysteine (CEM), N-acetyl-S-(3,4-dihydroxybutyl)-L-cysteine (DHB), 2-hydroxy-2-phenylacetic acid (MAD), and N-acetyl-S-(4-hydroxy-2-butenyl)-L-cysteine (MB3). The WQS index indicated a significantly positive association between VOCMs and urinary protein abnormalities, and DHB contributed the most. The analysis on the potential sources of VOCs exposure showed that those who worked as a private entrepreneur or an employee (vs. government employees), rent houses (vs. owned real estate), had less number of rooms in the residence, fueled cars at self-service gas stations, and inhaled paint fumes in the past 48 h associated with higher VOCMs (P < 0.05) and DHB contributed the most. Conclusion Multiple VOCMs in urine are associated with significantly kidney function injuries. The mixture exposure to VOCMs is significantly associated with higher risks of urinary protein abnormalities. Occupational category, housing ownership, ways to fuel a car, and inhalation of paint odors are closely related with VOCMs levels.

Objective To study the plasma metabolomics of mice poisoned by different dosage of the combination of diazepam and ethanol,and to reveal the toxicological mechanisms of combined poisoning of diazepam and ethanol.Methods Female Kunming mice were randomly divided into blank group,single and combined poisoning group(n=6),Based on the LD50 of diazepam co-administered with graded ethanol doses,mice in the single-drug and combined groups received oral gavage at 1/2,1,and 2 × LD50.Retro-orbital blood samples(～500 μL)were collected within 24 hours post-administration and analyzed by UPLC-QE-MS technology.Principal component analysis and orthogonal partial least squares discriminant analysis were used to identify differential metabolites and associated metabolic pathways.Results A total of 387 differential metabolites were identified in the combined poisoning group of diazepam and ethanol implicating the key pathways including tryptophan metabolism,phenylalanine metabolism,arginine and proline metabolism,Glycerophospholipid metabolism,phenylalanine,tyrosine and tryptophan biosynthesis.Conclusion Combined diazepam and ethanol poisoning exerts significant systemic effects by disrupting neurotransmitters conduction,exacerbating oxidative stress response and dysregulating energy metabolism.

Objective To examine the classification of difficult and common diseases based on the weight of diagnosis related groups and to provide data support for performance evaluation and effect evaluation of the hierarchy medical system.Methods The CN-DRG grouping scheme was utilized to categorize the data from 3188340 medical records into 738 groups in 2022.The disease group performed k-medoids clustering.our clustering models were simulated,and the optimal model was determined by evaluating the explanatory power of each model using specific indicators.Subsequently,the relative weight ranges of DRG for common and difficult diseases were established.Results The optimal clustering model was identified using four indicators:the average length of stay,the proportion of patients admitted to intensive care units,the proportion of patients using ventilators,and the average cost per patient.The relative weight for common and difficult diseases was 0.97 for medical treatment,while for surgical treatment,it was 2.13.Conclusion This study is the first to define the weight ranges of diagnosis-related groups for common and difficult diseases by analyzing resource consumption and treatment outcomes.The findings provide a valuable measurement tool for hospital functional positioning and the evaluation of clinical specialty capabilities.

Carbon dioxide(CO2),a colorless,odorless,low-density negative contrast agent with no nephrotoxicity or allergic reactions,has seen increasingly widespread application in the field of vascular imaging in recent years,particularly in patients with iodine allergy or renal insufficiency.When combined with digital subtraction angiography,CO2 angiography has demonstrated high-quality imaging in various arterial and venous sites such as the abdominal aorta,renal arteries,iliac arteries,lower limb arteries,and inferior vena cava.It has also shown safety and efficacy in clinical scenarios such as peripheral arterial disease,dialysis access evaluation,and transjugular intrahepatic portosystemic shunt procedures.This review systematically summarizes domestic and international research progress on CO2 angiography,outlines its physicochemical properties,injection dosages and parameters,clinical indications,and imaging characteristics,and compares its image quality with that of iodine-based contrast agents.Common complications,their mechanisms,and preventive measures are also discussed.Although the image quality of CO2 is slightly inferior to that of iodine agents,it remains sufficient for most diagnostic and therapeutic needs,with a low overall incidence of mainly mild and transient adverse effects.With the development of automated injection systems and digital variance angiography technology,CO2 imaging quality is expected to continue improving,and its application scope is likely to expand further.Future efforts should focus on strengthening multicenter clinical research and establishing standardized operational protocols to promote the broader adoption and regulated use of this technology.

Objective To investigate the efficacy of Castor branching stent in treating Stanford type B aortic dissection(TBAD)involving aortic arch.Methods The clinical data of 18 patients with Stanford TBAD,who were treated with Castor branching stent at the Suining Municipal Central Hospital of China from January 2020 to January 2022,were retrospectively analyzed.Results The main bracket and branch bracket of Castor branching stent were successfully released in all the 18 patients with a surgical success rate of 100％,and no internal leakage occurred during operation.During the perioperative period,there were neither aorta-related deaths nor serious complications such as stroke,upper limb ischemia,internal leakage,or stent displacement.The patients were followed up for(14.7±8.3)months,no aorta-related death,stroke,upper limb ischemia,internal leakage,or stent displacement was observed,the blood flow of the left subclavian artery(LSA)was unobstructed,but there was thrombosis formation within the false lumen of the covered stent segment.Conclusion The Castor branching stent has the advantages of reasonable release mode,accurate positioning,effective isolation of the first rupture of Stanford TBAD and reconstruction of LSA,with no serious short-term complications.However,further follow-up observation is needed before its long-term efficacy can be clarified.

Objective To analyze the epidemiological characteristics of acute respiratory infections(ARIs)during the autumn-winter season in Beijing,providing evidence for the prevention,control,diagnosis,and treatment of ARIs.Methods A convenience sampling method was employed,enrolling patients who visited Peking Union Medical College Hospital(PUMCH)between September 2023 and February 2024 due to ARIs.Na-sopharyngeal swabs were collected,and real-time fluorescence quantitative PCR was used to detect six common respiratory pathogens[influenza A virus(FluA),influenza B virus(FluB),human rhinovirus(HRV),Myco-plasma pneumoniae(MP),respiratory syncytial virus(RSV),and adenovirus(ADV)],as well as SARS-CoV-2 infection.The distribution patterns of pathogen infections were analyzed.Results A total of 5556 eligible patients were included.The overall positivity rate for the six common respiratory pathogens was 63.7％,with sin-gle-pathogen positivity at 54.0％,dual-pathogen positivity at 8.9％,and triple or more pathogen positivity at 0.7％.The predominant pathogens detected were FluA(16.1％)and RSV(15.7％),followed by ADV(11.1％),MP(11.1％),HRV(10.0％),and FluB(10.0％).No significant difference in overall pathogen positivity was observed between genders.However,significant differences were found between autumn and winter(x2=34.617,P＜0.001)and among pediatric,young/middle-aged,and elderly patients(x2=422.38,P＜0.001).Specifically,MP(x2=8.647,P=0.003),FluA(x2=131.932,P＜0.001),and HRV(x2=174.199,P＜0.001)exhibited significantly higher positivity rates in autumn than in winter,whereas FluB was more prevalent in winter(x2=287.894,P＜0.001).In pediatric patients,MP,RSV,HRV,and ADV positivity rates were significantly higher than in young/middle-aged and elderly patients(all P＜0.001),whereas FluB was more common in young/middle-aged patients(both P＜0.001).The positivity rates of the six common respiratory pathogens significantly declined during the SARS-CoV-2 epidemic period,exhibiting an asynchronous seasonal pattern.Conclusions The prevalence of respiratory pathogens in Beijing is associated with age and season.Tar-geted preventive measures should be implemented in different seasons and for key populations.

Ferroptosis is a form of programmed cell death characterized by overwhelmed lipid oxidation, and it has emerged as a promising strategy for cancer therapy. Enhanced ferroptosis could overcome the limitations of conventional therapeutic modalities, particularly in difficult-to-treat tumors. In this study, we developed a dual-modality therapy in nanomedicine by combining paclitaxel (PTX) chemotherapy and pyropheophorbide-a (Ppa) phototherapy. Heparin (HP) was grafted with poly(N-(2'-hydroxy) propyl methacrylamide) (pHPMA) using reversible addition-fragmentation chain transfer polymerization to form HP-pHPMA (HH), which was utilized to deliver Ppa and PTX, yielding HP-pHPMA-Ppa (HH-Ppa) and HP-pHPMA-PTX (HH-PTX), respectively. The prodrug-based combinational nanomedicine (HH-PP) was formed by co-assembly of HH-PTX and HH-Ppa. It was found that HH-PP treatment significantly disrupted lipid metabolism in triple-negative breast cancer (TNBC) cells, induced extensive lipid oxidation, and promoted ferroptosis. In vivo, HH-PP intervention achieved a tumor growth inhibition rate of 86.63% and activated adaptive immunity with an elevated CD8⁺ cytotoxic T cell infiltration level. This combinational nanomedicine offers a promising platform for co-delivery of multiple therapeutic agents. It exerts a promising anti-tumor effect via enhanced ferroptosis and ferroptosis-induced immune activation by disrupting lipid metabolism in TNBC cancer cells.

Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications (ASMs), a condition known as pharmacoresistant epilepsy. The management of pharmacoresistant epilepsy remains an intractable issue in the clinic. Its early prediction is important for prevention and diagnosis. However, it still lacks effective predictors and approaches. Here, a classical model of pharmacoresistant temporal lobe epilepsy (TLE) was established to screen pharmacoresistant and pharmaco-responsive individuals by applying phenytoin to amygdaloid-kindled rats. Ictal electroencephalograms (EEGs) recorded before phenytoin treatment were analyzed. Based on ictal EEGs from pharmacoresistant and pharmaco-responsive rats, a convolutional neural network predictive model was constructed to predict pharmacoresistance, and achieved 78% prediction accuracy. We further found the ictal EEGs from pharmacoresistant rats have a lower gamma-band power, which was verified in seizure EEGs from pharmacoresistant TLE patients. Prospectively, therapies targeting the subiculum in those predicted as "pharmacoresistant" individual rats significantly reduced the subsequent occurrence of pharmacoresistance. These results demonstrate a new methodology to predict whether TLE individuals become resistant to ASMs in a classic pharmacoresistant TLE model. This may be of translational importance for the precise management of pharmacoresistant TLE.
Epilepsy, Temporal Lobe/diagnosis* ; Animals ; Drug Resistant Epilepsy/drug therapy* ; Electroencephalography/methods* ; Rats ; Anticonvulsants/pharmacology* ; Neural Networks, Computer ; Male ; Humans ; Phenytoin/pharmacology* ; Adult ; Disease Models, Animal ; Female ; Rats, Sprague-Dawley ; Young Adult ; Convolutional Neural Networks