ObjectiveThis study aimed to elucidate the mechanistic role of Staphylococcus aureus in the pathogenesis of atopic dermatitis (AD), a chronic inflammatory skin disorder characterized by pruritus and barrier dysfunction. A key focus was screening traditional Chinese medicine (TCM) active components with dual antibacterial and antipruritic efficacy, followed by systematic evaluation of their in vitro antibacterial activity. Additionally, a novel drug delivery system was constructed to enable localized efficient drug delivery, inhibiting S. aureus proliferation and alleviating its induced pruritus, thereby providing new strategies for targeted AD therapy. MethodsMale C57BL/6J mice aged 6-8 weeks (body weight 18-22 g) were used to establish an AD model via repeated oxazolone sensitization. On day 14, microbial samples were collected from the lesional area (1 cm²) using sterile cotton swabs, followed by vortex mixing, serial dilution, and plating on 5% sheep blood agar plates (incubated at 37°C for 24 h). Single colonies with complete transparent β-hemolytic zones were isolated and identified as vancomycin-intermediate S. aureus (VISA) via 16S rRNA sequencing. An S. aureus mono-infection animal model was then established by applying gauze saturated with bacterial suspension (McFarland turbidity 0.1) to the nape and back skin of mice. The pruritic phenotype and inflammatory cell infiltration induced by S. aureus were evaluated using comprehensive approaches including behavioral assays (e.g., scratching frequency recording), hematoxylin-eosin (HE) staining, and toluidine blue staining. The in vitro antibacterial efficacy of the TCM monomer pseudolaric acid B (PAB) and double network hydrogel (DN) was separately assessed by disk diffusion assay, while the minimum inhibitory concentration (MIC) of PAB was determined via broth dilution method. Further validation of the pharmacodynamic characteristics of the composite system (PAB@DN, composed of PAB and DN) was conducted through behavioral assays, HE staining, and dermatitis scoring, with its drug release profile evaluated by mass spectrometry analysis. Based on scratching behavioral analysis and dermatitis scoring, the optimal ratio and concentration of PAB@DN were optimized. ResultsThe S. aureus load in AD lesional tissues was significantly higher than in normal skin ((5.3±0.33)×10⁶ CFU vs. (3.6±0.26)×10⁷ CFU, P<0.001). In the S. aureus mono-infection group, mice exhibited a 6.7-fold increase in scratching frequency compared to the control group. HE staining revealed marked epidermal thickening ((10.4±2.39) μm vs. (85.6±1.95) μm, P<0.000 1), and toluidine blue staining showed a 23-fold increase in mast cell degranulation. Pseudolaric acid B exhibited a significant concentration-dependent inhibitory effect onS. aureus growth, with its in vitro antibacterial effect being 57% that of the antibiotic cefepime (inhibition zone diameter: PAB (1.885±0.036) cm vs. cefepime (3.636±0.005) cm, P<0.000 1) and a minimum inhibitory concentration (MIC) of 1 g/L. The carrier double network hydrogel (DN) itself lacked direct antibacterial activity (no significant difference in inhibition zone diameter compared to the control) but effectively ameliorated the dry symptoms of AD-like lesions. The PAB@DN composite system demonstrated a synergistic effect compared to individual components, resulting in a 50% reduction in scratching behavior, an 86% decrease in dermatitis score, and a 60% reduction in epidermal thickening. It also reduced the S. aureus load in mouse skin by approximately 34%, with the optimal effective formulation being PAB at 1 g/L loaded onto DN. ConclusionS. aureus colonization plays a critical driving role in the onset and progression of AD. Using an S. aureus infection model, this study confirmed that the pseudolaric acidB-hydrogel composite delivery system (PAB@DN) can effectively alleviate S. aureus-induced pruritus and skin damage, providing experimental evidence for microbiota-targeted therapy of AD.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To investigate the current status and challenges of pediatric life support training in China and provide references for improving training quality.Methods:A cross-sectional study was conducted to collect data from pediatric life support training centers across the country，covering basic institutional information，training capacity and training faculty，training program funding，as well as existing challenges and issues.The domestic registry of training centers in 2023 was obtained through the American Heart Association's online platform.After contacting and verifying each center，an online questionnaire was distributed，and the aggregated data were statistically analyzed.Results:A total of 42 institutions participated in the survey，including 19 children's hospitals，14 general hospitals，6 maternal and child health hospitals，2 women and children’s hospitals，and 1 training institution.The distribution of training centers showed a concentration in coastal areas，with the top three provinces/municipalities being Guangdong（7/42，16.7%），Zhejiang（6/42，14.3%），and Shanghai（4/42，9.5%）.As of December 31 2023，the 42 institutions had an annual basic life support（BLS）training volume of 8 587 individuals，the median was 120 (100,200)，and an annual pediatric advanced life support（PALS）training volume of 2 448 individuals，the median was 30 (20,50).Among the 42 institutions，there were 598 BLS instructors and 306 PALS instructors.Among the surveyed institutions，24（24/42，57.1%）reported BLS instructor teams comprising fewer than 10 members，and 33（33/42，78.6%）reported PALS instructor teams comprising fewer than 10.Only 7 centers(7/42,16.7%）reported having dedicated funding support.The top three challenges were：training sessions occupying instructors’personal time（27/42，64.3%），low instructor compensation（16/42，38.1%），and issues with the data submission system（16/42，38.1%）.Conclusion:Pediatric life support training centers in China are primarily children’s hospitals，with a geographical concentration in coastal areas，which is also reflected in the distribution of training scale and instructor resources.Most centers have relatively small training scales and limited instructor capacity，with many instructors conducting training during their personal time.These issues may hinder the implementation and effectiveness of training programs.

[Purpose]To analyze the incidence and mortality of pancreatic cancer in 2020 and the change trend from 2010 to 2020 in cancer registration areas of Gansu Province.[Methods]The data of pancreatic cancer from 2010 to 2020 were collected from cancer registries in Gansu Province.The crude incidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),0～74 years old cumulative rate and proportion of pancreatic cancer were calculated.Joinpoint 4.7.0 software was used to calculate the average annual percentage change(AAPC)of ASIRC/ASMRC of pancreatic cancer in cancer registration areas of Gansu Province from 2010 to 2020.[Results]In 2020,a total of 838 new cases of pancreatic cancer were reported in the cancer registration areas of Gansu Province,with a crude incidence rate of 6.52/105,ASIRC and ASIRW of 4.03/105 and 4.49/105 respectively,accounting for 2.50％of all malignant tumor incidence.In 2020,702 cases of pan-creatic cancer deaths were reported in the cancer registration areas of Gansu Province,with a crude mortality rate of 5.46/105,ASMRC and ASMRW of 3.25/105 and 3.73/105,respectively,ac-counting for 3.98％of all malignant tumor deaths.From 2010 to 2020,a total of 2 413 cases of pancreatic cancer were reported in cancer registration areas in Gansu Province,accounting for 1.90％of all malignant tumors in the province.The crude incidence rate of pancreatic cancer was 5.28/105,the ASIRC was 4.18/105,the ASIRW was 4.63/105,and the cumulative rate of 0～74 years old was 0.49％.From 2010 to 2020,a total of 1 871 pancreatic cancer deaths were reported in cancer registration areas of Gansu Province,accounting for 2.38％of all malignant tumor deaths in the province.The crude mortality rate was 3.92/105,the ASMRC was 3.09/105,the ASMRW was 3.50/105,and the cumulative rate of 0～74 years old was 0.36％.In terms of sex and region,the incidence and mortality of pancreatic cancer from 2010 to 2020 in men were higher than those in women,and higher in rural areas than those in urban areas.From 2010 to 2020,the incidence and mortality were at a low level under the age of 44 years old,and increased significantly after 45 years old,reaching a peak in the age group of 80～84 years old.ASIRC showed no significant change from 2010 to 2020 with an AAPC of 0.41 1％(P＞0.05).From 2010 to 2020,the ASMRC showed an significantly increasing trend with an AAPC of 6.515％(P=0.014).[Conclusion]From 2010 to 2020,the ASRIC of pancreatic cancer in Gansu Province showed no significant change,while the ASMRC showed a significantly in-creasing trend.The incidence and mortality rates were higher in men than those in women and higher in rural areas than those in urban areas.Middle-aged and elderly men in rural areas are the key groups of prevention and treatment of pancreatic cancer,so targeted prevention and control measures should be carried out.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Aim To investigate the effects of rosavin on hepatocellular steatosis and its mechanism of action.Methods AML-12 and HepG2 cells were induced to undergo hepatocellular steatosis by free fatty acids(FFA),and the optimal inducing concentration was determined by oil red O staining and CCK-8 assay.The cell activity was detected by CCK-8 assay after ro-savin treatment,and the lipid droplet accumulation was observed by oil red O staining.The levels of triglycer-ide(TG),total cholesterol(TC),glutamic oxalacetic transaminase(AST),glutamic pyruvic transaminase(ALT),superoxide dismutase(SOD),glutathione per-oxidase(GSH-Px),and malondialdehyde(MDA)were detected by kits.The potential targets of rosavin in non-alcoholic fatty liver disease(NAFLD)were ana-lyzedby network pharmacology and molecular docking,and the expression of core candidate targets before and after the rosavin intervention was detected by real-time fluorescence quantitative PCR.Results Hepatocyte steatosis was induced by FFA,and the intervention of rosavin(25,50 μmol·L-1)reduced the number of intracellular lipid droplets in hepatocytes in a dose-de-pendent manner,also lowered the cellular levels of TG,TC,AST,ALT,elevated the levels of SOD and GSH-Px,and reduced the levels of MDA.Network pharma-cological analysis and molecular docking yielded five core candidate targets:NOS3,MAPK14,PPARG,TNF-α,and IGF-1,and real-time fluorescence quantitative PCR showed that the action of loxavir significantly re-duced the gene expression of TNF-α and PPARG in hepatocytes after FFA induction.Conclusions Rosa-vin can attenuate the inflammatory response,oxidative stress level,and lipid accumulation in hepatocytes by modulating TNF-α and PPARG,thereby ameliorating FFA-induced hepatocellular steatosis.

BACKGROUND:Patients with Alzheimer's disease have severe brain energy disorders.In recent years,brain energy rescue strategies based on ketone body intervention have attracted more and more attention in the treatment of Alzheimer's disease.OBJECTIVE:To investigate whether β-hydroxybutyric acid can improve energy dysfunction by improving mitochondrial bioenergy function in HT22 cells of mouse hippocampal neurons induced by amyloid-β protein 1-42 (Aβ1-42).METHODS:HT22 cells were divided into four groups:Control,β-hydroxybutyric acid,Aβ1-42,Aβ1-42+β-hydroxybutyric acid.Related detection kits were respectively used to detect HT22 cell survival rate,adenosine triphosphate level,α-ketoglutarate dehydrogenase activity,Na+K+-ATPase activity,mitochondrial membrane potential,and reactive oxygen species levels.RESULTS AND CONCLUSION:Compared with the control group,the survival rate,adenosine triphosphate level,α-ketoglutarate dehydrogenase activity,Na+K+-ATPase activity,and mitochondrial membrane potential of HT22 cells were significantly decreased (P<0.05),and the level of reactive oxygen species was significantly increased (P<0.05) in the Aβ1-42 group.Compared with the Aβ1-42 group,the survival rate,adenosine triphosphate level,α-ketoglutarate dehydrogenase activity,Na+K+-ATPase activity,and mitochondrial membrane potential of HT22 cells were significantly increased (P<0.05),and the reactive oxygen species level was significantly decreased (P<0.05) in the Aβ1-42+β-hydroxybutyric acid group.These results showed that β-hydroxybutyric acid improved mitochondrial bioenergetic function and ultimately improved Aβ1-42-induced energy impairment and survival rate in HT22 cells.

Objective:To investigate the current status and challenges of pediatric life support training in China and provide references for improving training quality.Methods:A cross-sectional study was conducted to collect data from pediatric life support training centers across the country，covering basic institutional information，training capacity and training faculty，training program funding，as well as existing challenges and issues.The domestic registry of training centers in 2023 was obtained through the American Heart Association's online platform.After contacting and verifying each center，an online questionnaire was distributed，and the aggregated data were statistically analyzed.Results:A total of 42 institutions participated in the survey，including 19 children's hospitals，14 general hospitals，6 maternal and child health hospitals，2 women and children’s hospitals，and 1 training institution.The distribution of training centers showed a concentration in coastal areas，with the top three provinces/municipalities being Guangdong（7/42，16.7%），Zhejiang（6/42，14.3%），and Shanghai（4/42，9.5%）.As of December 31 2023，the 42 institutions had an annual basic life support（BLS）training volume of 8 587 individuals，the median was 120 (100,200)，and an annual pediatric advanced life support（PALS）training volume of 2 448 individuals，the median was 30 (20,50).Among the 42 institutions，there were 598 BLS instructors and 306 PALS instructors.Among the surveyed institutions，24（24/42，57.1%）reported BLS instructor teams comprising fewer than 10 members，and 33（33/42，78.6%）reported PALS instructor teams comprising fewer than 10.Only 7 centers(7/42,16.7%）reported having dedicated funding support.The top three challenges were：training sessions occupying instructors’personal time（27/42，64.3%），low instructor compensation（16/42，38.1%），and issues with the data submission system（16/42，38.1%）.Conclusion:Pediatric life support training centers in China are primarily children’s hospitals，with a geographical concentration in coastal areas，which is also reflected in the distribution of training scale and instructor resources.Most centers have relatively small training scales and limited instructor capacity，with many instructors conducting training during their personal time.These issues may hinder the implementation and effectiveness of training programs.

Objective:To systematically synthesize the real experiences of cancer patients undergoing prehabilitation and provide a reference for the development of targeted prehabilitation programs.Methods:A systematic search was conducted in China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, Web of Science, PubMed, Embase, CINAHL, and Cochrane Library databases for qualitative studies on the prehabilitation experiences of cancer patients. The quality of the included studies was appraised, and the findings were integrated using a Meta-aggregative approach. The search covered publications up to June 30, 2024.Results:A total of 17 studies were included, yielding 76 themes. These were synthesized into 12 categories and further integrated into four integration results: heavy physical and psychological burden with low adherence to programs; positive cognition supported by multiple factors leads to high adherence under appropriate interventions; unmet practical needs require urgent attention; physical and psychological benefits are sustained and influential.Conclusions:Multiple factors affect patients' adherence to prehabilitation, and unmet needs are common. Future research should aim to identify barriers and meet patients' needs.

Objective:To summarize the best evidence on the prevention and management of unplanned removal of indwelling urinary catheters in adult patients.Methods:Clinical decisions, evidence summaries, guidelines, systematic reviews, expert consensus, and randomized controlled trials related to the prevention and management of unplanned urinary catheter removal were systematically searched in UpToDate, BMJ Best Practice, Joanna Briggs Institute Evidence-Based Health Care Center Database, Cochrane Library, CINAHL, Embase, PubMed, China National Knowledge Infrastructure, Wanfang Data, guideline websites and professional society websites. The search period was from database establishment to May 2024. Two researchers with evidence-based training independently evaluated the methodological quality of the literature and extracted and summarized relevant evidence.Results:A total of nine papers were included, including one guideline, three clinical decisions, two evidence summaries, one expert consensus, and two randomized controlled trials. Twenty-two pieces of evidence were summarized in seven aspects of clinical indications and early removal, urinary catheter selection, methods of internal fixation, methods of external fixation, risk assessment and management, management after accidental removal of the catheter, and personnel training and education.Conclusions:This study summarizes the best evidence for the prevention and management of unplanned removal of indwelling urinary catheters in adult patients. The subsequent process of evidence translation should be combined with the actual clinical situation in China to promote the effective translation of evidence, thereby reducing the incidence of unplanned urinary catheter removal.