Purpose: Lung cancer is frequently observed as a second primary malignancy following gastric cancer, yet the genetic causality between them remains uncertain. This study aims to evaluate the causal relationship between gastric and lung cancers using Mendelian randomization (MR) analysis. Materials and Methods: Single nucleotide polymorphisms associated with gastric and lung cancers were selected from genome-wide association study in East Asian and European populations as instrumental variables. The causal effects between gastric and lung cancers were evaluated using univariable and multivariable MR analysis, with the inverse variance weighted (IVW) method serving as the primary criterion. Heterogeneity and sensitivity analyses were performed to ensure the robustness of the findings. Results: Univariable MR analysis demonstrated that genetic susceptibility to gastric cancer in the European population was significantly associated with an increased risk of lung cancer (IVW: odds ratio [OR], 1.285; 95% confidence interval [CI], 1.072 to 1.541; p=6.83E-03), which was consistently validated in the East Asian population (IVW: OR, 1.356; 95% CI, 1.114 to 1.651; p=2.40E-03). Multivariable MR analysis further indicated that the significant positive causal relationship between gastric cancer and lung cancer persisted in both populations after adjusting for confounding factors (all p < 0.05). Conversely, no significant causal relationship was observed for the risk of developing gastric cancer following the diagnosis of lung cancer in either population (p > 0.05). Conclusion This study confirms that genetic susceptibility to gastric cancer increases the risk of lung cancer. This finding provides a theoretical basis for exploring the underlying biological mechanisms and suggests that enhancing lung cancer screening in patients with gastric cancer may be necessary to improve patient prognosis.

Objective:To investigate the impact of plasmapheresis therapy on the clinical efficacy in predicted severe hypertriglyceridemia-associated acute pancreatitis (HTG-AP) patients.Methods:The clinical data of 500 HTG-AP patients admitted to 36 medical centers across China in the Chinese Acute Pancreatitis Clinical Trials Group-PERFORM database from November 2020 to June 2023 were retrospectively analyzed. Besides the inclusion and exclusion criteria from PERFORM study, patients who had acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score ≥8 or CRP>150 mg/L on admission were included in the final analyses ( n=189). Patients were categorized into the plasmapheresis group ( n=51) and the routine treatment group ( n=138) according to the triglyceride-lowering therapies they received. General data, laboratory findings, AP severity, and clinical outcomes were recorded. Results:Patients undergoing plasmapheresis had higher initial triglyceride levels, APACHEⅡ score, SOFA score, and more organ failure than those receiving routine medical treatment. Results of multivariable logistic regression models showed that the plasmapheresis group, as compared to the routine treatment group, was neither associated with decreased risk of persistent organ failure within 14 days [54.9% (28/51) vs 37.7% (52/138), OR=0.89, 95% CI 0.36-2.21, P=0.810], nor with reduced incidence of organ failure on day 7 [17.7% (9/51) vs 15.9% (22/138), OR=0.60, 95% CI 0.19-1.88, P=0.378]. There was no significant difference on the dynamic changes of serum triglyceride within the first three days of admission ( P=0.108). Conclusions:Early plasmapheresis is not associated with reduced incidence of persistent organ failure in predicted severe HTG-AP patients.

Mixed reality technology combines the benefits of virtual reality and augmented reality to provide a new experience of virtual and real-world interaction, demonstrating great potential in nursing education. This paper reviews the application progress of mixed reality in basic nursing teaching, clinical skills training, personalized learning pathways, and teamwork, and looks ahead to future developments, innovations, and challenges of mixed reality technology to advance nursing education.

Objective:To investigate the impact of plasmapheresis therapy on the clinical efficacy in predicted severe hypertriglyceridemia-associated acute pancreatitis (HTG-AP) patients.Methods:The clinical data of 500 HTG-AP patients admitted to 36 medical centers across China in the Chinese Acute Pancreatitis Clinical Trials Group-PERFORM database from November 2020 to June 2023 were retrospectively analyzed. Besides the inclusion and exclusion criteria from PERFORM study, patients who had acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score ≥8 or CRP>150 mg/L on admission were included in the final analyses ( n=189). Patients were categorized into the plasmapheresis group ( n=51) and the routine treatment group ( n=138) according to the triglyceride-lowering therapies they received. General data, laboratory findings, AP severity, and clinical outcomes were recorded. Results:Patients undergoing plasmapheresis had higher initial triglyceride levels, APACHEⅡ score, SOFA score, and more organ failure than those receiving routine medical treatment. Results of multivariable logistic regression models showed that the plasmapheresis group, as compared to the routine treatment group, was neither associated with decreased risk of persistent organ failure within 14 days [54.9% (28/51) vs 37.7% (52/138), OR=0.89, 95% CI 0.36-2.21, P=0.810], nor with reduced incidence of organ failure on day 7 [17.7% (9/51) vs 15.9% (22/138), OR=0.60, 95% CI 0.19-1.88, P=0.378]. There was no significant difference on the dynamic changes of serum triglyceride within the first three days of admission ( P=0.108). Conclusions:Early plasmapheresis is not associated with reduced incidence of persistent organ failure in predicted severe HTG-AP patients.

OBJECTIVE To explore the potential mechanisms and bioactive compounds of licorice against COVID-19 based on a multidimensional interaction of"component-disease-symptom-target".METHODS Firstly,candidate target sets for licorice compo-nents were obtained from the ETCM2.0 database based on the Encyclopedia of Traditional Chinese Medicine,and the disease symp-toms and associated target sets for COVID-19 were derived from the GeneCards and HPO databases.And then a protein interaction network was constructed using the String database(version 12.0).By calculating topological eigenvalues and functional enrichment analysis,the potential mechanisms of action were explored.Combined with Schr?dinger molecular docking virtual screening,candidate pharmacodynamic substances were identified.Fluorescence resonance energy transfer was used for experimental verification.RESULTS Licorice might improve symptoms of COVID-19(fever,chest pain and so on)by regulating the imbalance of"immune-inflammation"network and signal transduction abnormalities during the development and progress of COVID-19,such as coronavirus disease-COVID-19,Toll-like receptor signaling pathway and NOD-like receptor signaling pathway.The components,such as Isos-chaftoside and Hesperidin,were identified to possess high binding affinity with the critical enzymes for viral replication.Isoschaftoside,Hesperidin,Isoliquiritin apioside and Vicenin-2 exhibited varying degrees of inhibition on the enzyme of 3CLpro at different concentra-tions while excluding the interference of the compounds' fluorescence.CONCLUSION Through experimental verification using a multidimensional interaction network of"component-disease-symptom-target",the key pharmacologically active substances of licorice in the fight against COVID-19 are preliminarily identified,and their mechanism of action through overall regulation is elucidated.

Most patients with pancreatic cancer are already in the locally advanced or metastatic stage at initial diagnosis. While systemic chemotherapy provides clinical benefits for those with mid-to-late-stage pancreatic cancer, its efficacy is often limited by patient tolerance. In response to the dual clinical demands of robust antitumor activity and high targeting specificity, antibody-drug conjugate (ADC) has emerged as a promising solution. By conjugating highly selective monoclonal antibodies with potent cytotoxic small-molecule drugs, ADC achieves precise tumor-targeting while minimizing damage to healthy tissues, which thereby improves treatment tolerance. However, due to the complex pathological features of pancreatic cancer, no ADC has yet been approved for clinical use for this disease. A comprehensive evaluation of factors including ADC-specific targets, payload selection, antibody-drug linkage strategies, drug delivery mechanisms, tissue distribution variability, and tumor heterogeneity will be crucial to advancing the clinical translation of ADC for pancreatic cancer treatment.

Objective To explore the potential prognostic factors of patients with acute ischemic stroke(AIS)after undergoing endovascular mechanical thrombectomy and to construct an effective predictive model.Methods A retrospective analysis of clinical data was conducted on 202 patients with anterior circulation large vessel occlusion AIS from 2 stroke centers.All patients received endovascular mechanical thrombectomy treatment,with treatment and follow-up lasting at least 90 d.Basic demographic characteristics,medical records,and baseline blood biomarker data were collected,and the potential prognostic indicators for AIS after 90 d were screened using least absolute shrinkage and selection operator(LASSO)-logistic regression analysis.Results It was found that alcohol drinking(P=0.029),hypertension(P=0.001),diabetes mellitus(P=0.021),stroke or transient ischemic attack(P=0.049),systolic blood pressure on admission(P=0.009),diastolic blood pressure on admission(P=0.038),blood glucose(P=0.003),white blood cell count(P=0.001),neutrophil count(P=0.001),fibrinogen(P=0.010),systemic immune-inflammation index(P=0.008)and neutrophil-to-lymphocyte ratio(NLR)(P＜0.001)were associated with adverse clinical outcomes.Nine significant prognostic determinants were screened through LASSO-logistic regression analysis.Multivariate logistic regression analysis revealed that male sex(P=0.008),smoking history(P=0.013),hypertension(P=0.011),lymphocyte(P=0.028),fibrinogen(P=0.016),and NLR(P＜0.001)were significant predictive factors for poor prognosis in AIS patients after endovascular thrombectomy treatment.The constructed prognostic model had an accuracy of 76.2％,a sensitivity of 78.2％,a specificity of 71.7％,and a positive predictive value of 86.7％.Conclusion The predictive model established in this study can assist clinicians in identifying high-risk patients with AIS who have undergone endovascular thrombectomy,and it provide guidance for formulating individualized treatment strategies.

Percutaneous coronary intervention(PCI),as one of the primary approaches for revascularization,still faces complications such as restenosis,myocardial ischemia-reperfusion injury and no-reflow/slow-flow phenomena,with no currently effective interventions ensuring long-term efficacy.Based on Li Dongyuan's theory that"fire and original qi cannot coexist",this article inherited Academician Chen Keji's academic perspective on"toxin-stasis pathogenesis"and the hemodynamic characteristics of coronary arteries to propose a"four-stage pathological progression"in post-PCI patients,namely spleen-stomach impairment-original qi deficiency-endogenous yin-fire-toxin-stasis accumulation.It emphasized that the heart vessels rely on qi and blood for nourishment and patency for function,elucidated the therapeutic rationale of Danggui Buxue Decoction,and presented the self-formulated Yixin Hemai Prescription,modified through syndrome differentiation,and performed simultaneous reinforcement and dredging,in order to provide diagnosis and treatment ideas for coronary heart disease after PCI treated with TCM.

Background Non-optimal temperatures pose significant threats to public health. Analyzing the association between temperature exposure and the number of emergency cases of acute alcohol intoxication can provide evidence for optimizing emergency resource allocation and response strategies. Objective To analyze the overall impact and lag effects of non-optimal temperatures on the number of 120 emergency calls for acute alcohol intoxication in Wuxi, and to assess the attributable risk, in order to provide empirical evidence for formulating climate-adaptive public health strategies. Methods Call records of acute alcohol intoxication from Wuxi's 120 emergency service, concurrent air pollutant data, and meteorological data (including daily mean temperature) were collected from January 1, 2014 to December 31, 2020. Distributed lag nonlinear modeling was used for time-series analysis, with cross-basis functions to capture the nonlinear relationship and lag effects between temperature and emergency volume. Confounding factors such as long-term trends, humidity, pollutants [ultimately including ozone (O₃) and fine particulate matter (PM_2.5)], day of the week, and holidays were controlled. The maximum lag period was set to 14 days. Single-day lag and cumulative lag effects of extreme temperatures were analyzed, followed by sensitivity analysis. Effects were quantified using relative risk (RR) and 95% confidence intervals (95%CI), and attributable fractions and numbers for different temperature ranges were calculated. Results A total of 10705 emergency cases of acute alcohol intoxication were included during the study period, with males accounting for 89.5% and individuals aged 18–50 years accounting for 83.4%. A non-linear "U-shaped" association was observed between daily mean temperature and the number of emergency calls, with an optimal temperature of 13.3 ℃. The effect of the extreme low temperature (1.88 ℃) was statistically significant from lag1 to lag3 after exposure (P<0.05), with the maximum effect at lag1 (RR=1.063, 95%CI: 1.002, 1.129). The extreme high temperature (32.3 ℃) showed an immediate effect, with maximum effect at lag0 (RR=1.374, 95%CI: 1.248, 1.512). The cumulative effect analysis showed that the risk associated with high temperature was the highest at lag0–3 (RR=2.000, 95%CI: 1.667, 2.399), while the risk associated with low temperature was the highest at lag0–14 (RR=1.462, 95%CI: 1.042, 2.051). The attribution analysis indicated that the mild heat (>24.7–30.8 ℃) and heat (>30.8–33.5 ℃) contributed the largest numbers of attributable cases, with 591 cases (95%CI: 56, 1032) and 190 cases (95%CI: 51, 309), respectively. The corresponding attributable fractions were 5.81% (95%CI: 0.80%, 9.94%) and 1.87% (95%CI: 0.49%, 2.96%), respectively. Conclusion Both extreme high and low temperatures significantly increase the number of 120 emergency calls for acute alcohol intoxication in Wuxi. High temperature exhibit an acute effect, while low temperature show a delayed effect. Mild heat have a significant impact on the emergency burden. It is recommended that emergency departments optimize resource allocation according to climatic characteristics and strengthen emergency responses during extreme weather to reduce alcohol-related health burden.

BACKGROUND: Chronic kidney disease (CKD) is associated with common pathophysiological processes, such as inflammation and fibrosis, in both the heart and the kidney. However, the underlying molecular mechanisms that drive these processes are not yet fully understood. Therefore, this study focused on the molecular mechanism of heart and kidney injury in CKD. METHODS: We generated an microRNA (miR)-26a knockout (KO) mouse model to investigate the role of miR-26a in angiotensin (Ang)-II-induced cardiac and renal injury. We performed Ang-II modeling in wild type (WT) mice and miR-26a KO mice, with six mice in each group. In addition, Ang-II-treated AC16 cells and HK2 cells were used as in vitro models of cardiac and renal injury in the context of CKD. Histological staining, immunohistochemistry, quantitative real-time polymerase chain reaction (PCR), and Western blotting were applied to study the regulation of miR-26a on Ang-II-induced cardiac and renal injury. Immunofluorescence reporter assays were used to detect downstream genes of miR-26a, and immunoprecipitation was employed to identify the interacting protein of LIM and senescent cell antigen-like domain 1 (LIMS1). We also used an adeno-associated virus (AAV) to supplement LIMS1 and explored the specific regulatory mechanism of miR-26a on Ang-II-induced cardiac and renal injury. Dunnett's multiple comparison and t -test were used to analyze the data. RESULTS: Compared with the control mice, miR-26a expression was significantly downregulated in both the kidney and the heart after Ang-II infusion. Our study identified LIMS1 as a novel target gene of miR-26a in both heart and kidney tissues. Downregulation of miR-26a activated the LIMS1/integrin-linked kinase (ILK) signaling pathway in the heart and kidney, which represents a common molecular mechanism underlying inflammation and fibrosis in heart and kidney tissues during CKD. Furthermore, knockout of miR-26a worsened inflammation and fibrosis in the heart and kidney by inhibiting the LIMS1/ILK signaling pathway; on the contrary, supplementation with exogenous miR-26a reversed all these changes. CONCLUSIONS Our findings suggest that miR-26a could be a promising therapeutic target for the treatment of cardiorenal injury in CKD. This is attributed to its ability to regulate the LIMS1/ILK signaling pathway, which represents a common molecular mechanism in both heart and kidney tissues.
Animals ; MicroRNAs/metabolism* ; Angiotensin II/toxicity* ; Mice ; Renal Insufficiency, Chronic/chemically induced* ; Mice, Knockout ; Disease Models, Animal ; Male ; Signal Transduction/genetics* ; LIM Domain Proteins/genetics* ; Mice, Inbred C57BL ; Cell Line ; Humans