The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

Alzheimer’s disease (AD) is a prevalent neurodegenerative condition characterized by progressive cognitive decline and memory loss. As the incidence of AD continues to rise annually, researchers have shown keen interest in the active components found in natural plants and their neuroprotective effects against AD. Quercetin, a flavonol widely present in fruits and vegetables, has multiple biological effects including anticancer, anti-inflammatory, and antioxidant. Oxidative stress plays a central role in the pathogenesis of AD, and the antioxidant properties of quercetin are essential for its neuroprotective function. Quercetin can modulate multiple signaling pathways related to AD, such as Nrf2-ARE, JNK, p38 MAPK, PON2, PI3K/Akt, and PKC, all of which are closely related to oxidative stress. Furthermore, quercetin is capable of inhibiting the aggregation of β‑amyloid protein (Aβ) and the phosphorylation of tau protein, as well as the activity of β‑secretase 1 and acetylcholinesterase, thus slowing down the progression of the disease.The review also provides insights into the pharmacokinetic properties of quercetin, including its absorption, metabolism, and excretion, as well as its bioavailability challenges and clinical applications. To improve the bioavailability and enhance the targeting of quercetin, the potential of quercetin nanomedicine delivery systems in the treatment of AD is also discussed. In summary, the multifaceted mechanisms of quercetin against AD provide a new perspective for drug development. However, translating these findings into clinical practice requires overcoming current limitations and ongoing research. In this way, its therapeutic potential in the treatment of AD can be fully utilized.

This paper summarizes the progress of theoretical research and practice of One Health in China,and discusses the paradigm of One Health governance to improve the prevention and control of infectious diseases in China and the world,and provide an example for the improvement of the public health system.In particular,China has long history to apply the concept of One Health in the national schistosomiasis control programmes and patriotic health campaigns,which were not only focusing on human health,but also emphasizing the sustainable development of animal health and ecological environment.At the same time,the application of tools such as system dynamics model,eDNA technology,One Health economic assessment and global One Health index(GOHI)in the field of disease control and environmental health provides technical support for the concept of One Health.Despite the challenges of practical application of these tools,the One Health concept will play a greater role in providing sustainable solutions for human-animal-environmental health by strengthening interdisciplinary collaboration,improving standardization protocols and promoting inter-national cooperation.

Objective To compare the clinical efficacies among three surgical approaches of small inci-sion in the lower segment of the sternum,small incision in the right axilla and thoracoscopic 3 incisions for re-pairing adult giant atrial septal defects(ASD).Methods The medical records of 112 patients with giant ASD undergoing surgical repair in this hospital from January 2018 to January 2024 were retrospectively analyzed.According to the different surgical approaches,the patients were divided into the group A(n=35,small inci-sion in the lower part of the sternum),group B(n=37,small incision in the right axilla)and group C(n=40,thoracoscopic 3 incisions).The general data,operation time,cardiopulmonary bypass time,blood transfusion volume,incision length,postoperative VAS score,postoperative mechanical ventilation time,ICU stay time,postoperative hospitalization duration,hospitalization cost and postoperative complications occurrence rates were compared among the various groups.Results There were no statistically significant differences in the operation time,cardiopulmonary bypass time,blood transfusion volume,postoperative mechanical ventilation time,ICU stay time and postoperative hospitalization duration among 3 groups(P＞0.05).The hospitalization cost in the group C was higher than that in the groups A and group B,the postoperative VAS score in the group B was higher than that in the group A and C,the incision size in the group C was shorter than that in the group A and group B,and the differences were statistically significant(P＜0.05).All patients were suc-cessfully repaired.The incidence rate of postoperative pulmonary infection in the group A and group C was lower than that in the group B,and the difference was statistically significant(P＜0.05).Conclusion All three surgical approaches could safely and effectively repair adult giant ASD.Different surgical approaches should be selected based on the specific conditions of the patients.

Objective To develop a machine learning-based risk prediction model for postoperative acute kidney injury(AKI)and a model for mortality in obese patients admitted to intensive care unit(ICU)in order to improve early warning and prognostic evaluation to support clinical decision-making.Methods Data of obese postoperative ICU patients were retrospectively retrieved from the MIMIC-Ⅳ and eICU databases for statistical analysis.Ultimately,2 520 patients(670 from MIMIC-Ⅳ and 1 850 from eICU databases)were included to build the risk prediction models for AKI and mortality.The data included demographic information,vital signs,laboratory findings,surgical types,comorbidities,and medication use.After data cleaning and preprocessing,Boruta feature selection was applied,followed by the construction of prediction models using 7 machine learning algorithms,that is,Gradient Boosting Machine(GBM),Generalized Linear Model(GLM),k-Nearest Neighbors(KNN),Na?ve Bayes(NB),Neural Network(NNET),Support Vector Machine(SVM),and XGBoost.Model performance was evaluated through cross-validation and external validation.Results In the risk prediction models of AKI,the SVM model achieved the highest AUC value of 0.80 in the testing set and 0.71 in the external validation test.For the risk prediction models of mortality,the GBM model outperformed others in the prediction,attaining an AUC value of 0.91 in the testing set.Conclusion Risk predictive models for postoperative AKI and mortality in obese ICU patients are successfully constructed,and are valuable tools for clinicians to optimize early intervention and improve clinical outcomes for the patients.

In this work,a fluorescent probe PIN was synthesized using indole-3-carbohydrazide and pyrenecarboxaldehyde as raw materials.PIN showed weak fluorescence emission in aqueous solution with acetonitrile volume fraction of 70％.However,when Cu2+was added to this aqueous solution of PIN,a new fluorescence emission peak appeared at 495 nm,and the intensity of this peak gradually increased with the increase of concentration of Cu2+,and also caused a significant change in the fluorescence color of the solution.In contrast,the addition of 15 kinds of other common metal ions did not cause such change.The detection limit of PIN for Cu2+was 78.7 nmol/L,which was much lower than the maximum permitting level of Cu2+in drinking water in hygienic standard for drinking water in China.Therefore,PIN was a highly selective and sensitive fluorescence-enhanced probe for Cu2+.Meanwhile,the addition of Cu2+could also cause a new absorption peak at 440 nm in the ultraviolet-visible absorption spectrum of the aqueous solution of PIN,and meanwhile the colorless PIN solution changed into yellow,exhibiting the performance of PIN as a colorimetric probe for Cu2+.By fitting with the Levenberg-Marquardt algorithm equation,the binding ratio of PIN to Cu2+was 2:1,and the binding constant was 3.42×1012 L2/mol2.In addition,the binding mode of PIN with Cu2+was explored by using proton nuclear magnetic resonance(1H NMR)titration experiments and density functional theory simulations.The results showed that the addition of Cu2+could cause the aggregation of PIN molecules to form excimers,thus showing highly selective recognition.Finally,PIN was made into a simple test strip,which could achieve rapid and convenient fluorescence detection of Cu2+in actual water samples.

[Purpose]To analyze cancer incidence and mortality in Liaoning cancer registration areas from 2016 to 2020 and the trends from 2006 to 2020.[Methods]Cancer data in cancer registra-tion areas in Liaoning Province from 2016 to 2020 were collected.The incidence and mortality,age-standardized rate,cumulative rate(0～74 years old),and age-specific rate were calculated.Age-standardized incidence and mortality rate were calculated by the Chinese standard popula-tion(ASIRC,ASMRC)and Segi world standard population(ASIRW,ASMRW).Joinpoint software was applied to analyze the trends of incidence and mortality.[Results]From 2016 to 2020,the crude incidence rate of cancer in Liaoning cancer registration areas was 422.30/105,the ASIRC and ASIRW were 215.67/105 and 209.52/105.The ASIRC was higher in urban areas(225.00/105)than that in rural areas(190.15/105),and higher in male(221.47/105)than that in female(213.03/105).The crude mortality rate was 254.22/105,the ASMRC and ASMRW were 113.26/105 and 112.91/105.The ASMRC in urban areas(113.12/105)was the same as that in rural areas(113.01/105),and higher in male(146.86/105)than that in female(83.46/105).The ASIRW of lung cancer was 46.13/105,and the ASMRW was 32.04/105,both ranking the first of all cancers.From 2006 to 2020,the crude incidence,ASIRC and ASIRW in urban areas showed an increasing trend(AAPC=3.921％,t=16.222,P＜0.05;AAPC=0.823％,t=2.409,P＜0.05;AAPC=0.875％,t=2.933,P＜0.05).The crude incidence,ASIRC and ASIRW in urban female were all rising(AAPC=4.151％,t=15.888,P＜0.05;AAPC=1.597％,t=4.819,P＜0.05;AAPC=1.514％,t=4.752,P＜0.05).During the same period,the cancer mortality in urban areas showed an increasing trend(AAPC=3.175％,t=14.745,P＜0.05),and the ASMRW showed a decreasing trend(AAPC=-0.908％,t=-2.273,P＜0.05).The crude mor-tality of both men and women showed an increasing trend(AAPC=3.010％,t=6.032,P＜0.05;AAPC=2.820％,t=5.921,P＜0.05),while the crude mortality and ASMRW for female showed a significant downward trend(AAPC=-1.487％,t=-2.437,P＜0.05;AAPC=-2.680％,t=-2.246,P＜0.05).From 2016 to 2020,the crude incidence,ASIRC and ASIRW in rural areas showed no significant change;however,the crude incidence in male was increasing(AAPC=2.025％,t=3.853,P＜0.05).In the same period,the crude mortality rate in rural areas increased(AAPC=3.577％,t=9.377,P＜0.05),while there was no significant change in the ASMRC and ASMRW.The crude mortality of both men and women showed an increasing trend(AAPC=3.377％,t=10.615,P＜0.05;AAPC=3.978％,t=7.245,P＜0.05),while there was no significant change in ASMRC and ASMRW.[Conclusion]The cancer burden in Liaoning from 2016 to 2020 was higher than the average level in China,can-cer prevention and control should be further strengthened in the provice.

Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.

Objective:To investigate the selection of treatment methods for renal tumors in pilots as well as the clinical significance of robot-assisted surgery by summarizing the process of robot-assisted surgery in the treatment of renal cell carcinoma in a pilot.Methods:The diagnosis, robot-assisted surgery and aeromedical assessment of a pilot with renal cell carcinoma were reported, and the related literature was reviewed.Results:The patient was a 44-year-old male transporter pilot, who was diagnosed with a left renal mass in the middle-lower pole of the kidney during a routine abdominal CT scan. After detailed preoperative evaluation that ruled out the possibility of distant metastasis and other surgical contraindications, the patient underwent robot-assisted laparoscopic partial nephrectomy in August 2022. The postoperative recovery went well, and renal function remained within normal limits at follow-ups. In March 2023, the pilot was concluded as qualified for flight after aeromedical assessment.Conclusions:Robot-assisted partial nephrectomy can significantly reduce surgical trauma, lower the risk of complications, and maximally preserve renal function. It is a good approach to renal tumors in pilots who can recover quickly.

BACKGROUND: Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD. METHODS & RESULTS: The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology. CONCLUSION The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.