Recently, there has been an increasing risk of importation of tropical diseases into China and the resultant re-transmission in the country with the in-depth implementation of the “Belt and Road” Initiative, which poses a serious threat to the national public health security. To effectively respond to the cross-border transmission risk of tropical diseases and facilitate the process towards tropical disease control and elimination in China and the countries along the “Belt and Road” Initiative, this article analyzes the current status and governance risks of major imported tropical diseases, cross-border joint prevention and control polices implemented for tropical diseases and challenges in the establishment of the joint prevention and control system for tropical diseases in China, and discusses the establishment and implementation path of the joint prevention and control system for tropical diseases in countries along the “Belt and Road” Initiative. This path covers the establishment of cross-border cooperation mechanisms, research and development and pilot production of Chinese public health products, and implementation of key cross-border tropical disease prevention and control projects. The establishment of this system will further improve Chinese prevention and control capabilities for key cross-border tropical diseases, build a demonstrative prevention and control model for tropical diseases, and promote international technical exchanges and cooperation of tropical diseases.

Objective:To explore the relationship between suggestion presentation, cognitive load, and adherence to nursing interventions for delirium.Methods:A prospective randomized controlled trial was conducted to recruit 47 nurses from 4 ICU units in Xuanwu Hospital, Capital Medical University from October 2021 to January 2022. They were divided into an intelligent group with 24 participants (using the intelligent nursing system for ICU delirium) and a non-intelligent group with 23 participants (using the paper-version implementation plan of delirium) by the random number table method. The cognitive load levels and adherence to nursing interventions were measured on day 7 of the study. AMOS 28.0 software was used to analyze the relationship between suggestion presentation, cognitive load, and adherence. The mediation effect was tested using the Bootstrap method.Results:In the intelligent group, there were 5 male and 19 female nurses, aged (33.33 ± 5.57) years. In the non-intelligent group, there were 1 male and 22 female nurses, aged (32.65 ± 3.46) years. The scores of extraneous cognitive load, germane cognitive load, and adherence to nursing intervention in the intelligent group were (6.42 ± 1.72), (7.15 ± 1.71) and (0.71 ± 0.05)%, respectively, compared with (7.78 ± 2.08), (6.07 ± 1.48) and (0.58 ± 0.08)% in the non-intelligent group. The differences were statistically significant ( t=6.06, 5.35, 41.47, all P<0.05). The Bootstrap method showed that both extraneous cognitive load (effect size=0.043, 95% CI 0.024 to 0.090, P<0.05) and germane cognitive load (effect size=0.026, 95% CI 0.017 to 0.082, P<0.05) played a partial mediating effect between suggestion presentation and adherence to nursing intervention, the total mediating effect accounted for 17.29%. Conclusions:Using the intelligent system to change the presentation of delirium nursing interventions can reduce the extraneous cognitive load and increase the germane cognitive load of ICU nurses, and then improve the adherence of nurses to implement delirium nursing interventions. Our study provides a clinical practice basis for improving the quality of clinical nursing.

Objective:A camelid natural nanobody library was screened to target S100 calcium-binding protein B (S100B) for obtaining high-affinity and specific nanobodies (Nbs), which provided a molecular basis for the early diagnosis and prognostic treatment of malignant melanoma.Methods:In this study, affinity panning was employed to isolate S100B-specific nanobodies with unique complementarity-determining region 3 (CDR3) sequences from a camelid natural nanobody library. The selected Nbs were expressed in a prokaryotic system and purified via Ni-NTA affinity chromatography. The affinity, specificity, and diagnostic potential of the Nbs were evaluated using enzyme-linked immunosorbent assay (ELISA), western blot, and bio-layer interferometry (BLI).Results:A camelid natural anti-S100B nanobody library with a capacity of 1.91×10 8 CFU was successfully constructed. Affinity panning yielded 30 S100B-specific Nbs, among which Nb107, Nb122, Nb212, and Nb324 with distinct CDR3 sequences were selected for expression. Following Ni-NTA purification, all four anti-S100B Nbs exhibited high purity. Western blot analysis confirmed their ability to recognize recombinant S100B. ELISA and BLI analyses revealed that Nb212 demonstrated high affinity (1.96×10 -11 mol). Additionally, Nb107, Nb122, and Nb212 exhibited broad-spectrum recognition capabilities, binding to various tumor cell lines (Hepa1-6, GL261, 4T1, CT26) as well as murine/human melanoma cells. These Nbs also effectively bound to native murine/human antigens in serum samples from melanoma (A375, B16F10) mouse models. Conclusions:Specific anti-S100B Nbs are successfully screened and expressed, demonstrating not only recognition of native conformational antigens but also broad-spectrum binding and high affinity. These findings highlight their significant potential for developing early diagnostic assays and broad-spectrum targeted vaccines or therapeutics against diverse tumor cells.

Aim To investigate the mechanism of ac-tion of Qingre Zhixue granules in the treatment of IgA vasculitic nephritis(IgAVN)based on network phar-macology and animal experiments.Methods The ac-tive ingredients and targets of Qingre Zhixue granules were screened out by TCMSP database.The disease targets of IgAVN were retrieved by Disgenet,Gene-cards OMIM and TTD databases.The intersection tar-gets were obtained by WeChat online database,and the information was imported into Cytoscope 3.7.1 soft-ware and STRING analysis platform to construct a drug-active component-therapeutic target network.Based on the core targets,GO and KEGG pathway enrichment a-nalysis was performed through the Metascape database to select key targets and core active components.The results of network pharmacology were verified by ani-mal experiments.The animal model of IgAVN was con-structed by the combination of disease and syndrome.The urine red blood cells and 24-hour urine protein of IgAVN model rats after intervention of Qingre Zhixue granules were detected.HE staining and IgA immuno-fluorescence deposition of renal tissue were observed.Western blot and qRT-PCR were used to detect the ex-pression of core targets in renal tissue.Results Net-work pharmacology showed that 109 active ingredients,402 drug targets,1 285 disease targets and 113 inter-section targets were obtained.The core targets screened by protein interaction and network topology a-nalysis were IL6,TNF,VEGFA,etc.The core drug ingredients were quercetin,paeoniflorin,luteolin,kaempferol and baicalein.A total of 2 545 gene func-tions were enriched by GO,and 164 gene pathways were enriched by KEGG.Qingre Zhixue granules could treat IgAVN by regulating TNF signaling pathway,MAPK signaling pathway,IL-17 signaling pathway,HIF-1 signaling pathway,Toll receptor signaling path-way,NF-κB signaling pathway and apoptosis.Animal experiments showed that compared with the blank group,the urine red blood cells and 24-hour urine pro-tein quantification in the model group increased(P＜0.05);the expression of serum IL-6,TNF-α and VEGF-α increased(P＜0.05).HE staining showed glomerular mesangial proliferation,capillary lumen ste-nosis,accompanied by a small amount of inflammatory cell infiltration,glomerular IgA immunofluorescence deposition;the expression of TNF-α,p-p65,p-p38 protein and TNF-α mRNA in renal tissue increased(P＜0.05).After the intervention of Qingre Zhixue gran-ules,urine red blood cells and 24-hour urine protein decreased(P＜0.05).The changes of renal HE stai-ning were improved and glomerular IgA deposition was reduced.TNF-α,p-p65,p-p38 protein and TNF-αmRNA in renal tissue decreased(P＜0.05).Conclu-sions The active ingredients such as quercetin,peony glycoside and luteolin Qingre Zhixue granules regulate TNF signaling pathway,MAPK signaling pathway,IL-17 signaling pathway and reduce IL-6,TNF-α and VEGF-α in the treatment of IgAVN.

Objective:To explore the choice willingness and related factors of peritoneal dialysis patients regarding automated peritoneal dialysis (APD), in order to provide a basis for future technological improvements and enhancing the application rate of APD.Methods:This was a single-center cross-sectional study. Patients newly initiated on peritoneal dialysis due to end-stage renal disease in the Renal Division, Peking University First Hospital between January 1, 2021 and May 30, 2023 were enrolled. Demographic characteristics, clinical information, and laboratory data were collected. After completing initial training on APD and providing hands-on experience, a self- designed semi-quantitative questionnaire survey was administered to assess patients' willingness to adopt APD and to evaluate potential barriers to its implementation. Factors associated with patients' choice of APD were further analyzed.Results:A total of 203 newly enrolled peritoneal dialysis patients were included in the study, with an age of (53.40±15.86) years, and 57.1% (116 patients) of the participants were male. Among them, 71 patients (35.0%) chose APD, while 132 (65.0%) did not. There were no significant differences in the clinical characteristics between the APD group and the non-APD group (all P>0.05). Compared with the non-APD group, the APD group had a higher proportion of individuals who frequently traveled for business ( χ2=11.442, P<0.001) and a higher proportion with smaller peritoneal cavity volumes ( χ2=5.639, P=0.018). Among patients in the two group, significant differences were observed in self-rated difficulty of APD operation ( χ2=22.291, P<0.001), availability of space for APD setup ( χ2=21.773, P<0.001), 8-hour nocturnal APD treatment ( χ2=17.540, P<0.001), learning difficulty of machine operation ( P<0.001), learning difficulty of machine setting ( P<0.001), impact of APD on sleep ( χ2=6.826, P=0.033), impact of APD on nocturnal urination ( χ2=19.428, P<0.001), and annual cost of APD equipment ( χ2=39.066, P<0.001). Multivariate logistic regression analysis indicated that reimbursement for APD supplies ( OR=3.736, 95% CI 1.655-8.435, P=0.002), with smaller abdominal cavity volume ( OR=58.610, 95% CI 5.000-687.007, P=0.001), the acceptability of 8-hour nocturnal APD treatment ( OR=5.312, 95% CI 1.256-22.461, P=0.023), the low degree of difficulty in learning machine setting ( OR=29.299, 95% CI 2.025-423.812, P=0.013) and the annual cost of accessible APD equipment ( OR=3.643, 95% CI 1.348-9.842, P=0.011) were independent factors associated with patients' choice of APD treatment. Conclusion:Reimbursement for APD supplies, smaller abdominal cavity volume, the acceptability of 8-hour nocturnal APD treatment, the low degree of difficulty in learning machine setting, and the annual cost of accessible APD equipment are the main factors related patients' decision to choose APD treatment.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Objective To investigate the association between the TyG index,its modified variants,and the risk of developing colorectal cancer(CRC).Methods This study included a total of 93,177 participants from the 2006 Kailuan Group health examination cohort.Participants were categorized into four quartiles(Q1-Q4)according to their TyG and modified TyG indices.Follow-up began at the baseline examination,with incident CRC as the primary outcome.Participants were censored at the time of CRC diagnosis,death,or the end of the study,whichever occurred first.The dose-response relationship between TyG and its modified indices and the risk of CRC was evalu-ated using restricted cubic splines(RCS)in conjunction with Cox proportional hazards regression models,yielding hazard ratios(HRs)and 95%confidence intervals(CIs).To compare the strength of associations between TyG and its modified versions(TyG-BMI,TyG-WC,TyG-WHR,TyG-WHtR,TyG-WWI)and CRC risk,HRs for CRC per one standard deviation increase in each index were calculated and compared.Results Both the TyG index and its modified variants demonstrated a significant dose-response relationship with the risk of CRC incidence.Specifically,for the TyG index,each 1-standard deviation(SD)increase was associated with a 1.17-fold(95%CI:1.09～1.27)higher risk of CRC.Compared with the first quartile(Q1),the third quartile(Q3)and fourth quartile(Q4)exhibited a 1.25-fold(95%CI:1.01～1.55)and 1.26-fold(95%CI:1.01～1.57)increased risk,respectively.For TyG-BMI,each 1-SD increase was linked to a 1.20-fold(95%CI:1.07～1.35)elevated CRC risk.Compared with Q1,Q3 and Q4 showed a 1.32-fold(95%CI:1.06～1.64)and 1.51-fold(95%CI:1.21～1.88)increase,respectively.Regarding TyG-WC,each 1-SD increment was associated with a 1.22-fold(95%CI:1.13～1.32)higher CRC risk,with Q3 and Q4 showing a 1.35-fold(95%CI:1.08～1.70)and 1.56-fold(95%CI:1.24～1.96)increased risk compared to Q1.For TyG-WHtR,each 1-SD increase was associated with a 1.24-fold(95%CI:1.08-1.42)higher CRC risk.Compared with Q1,Q2,Q3,and Q4 demonstrated a 1.31-fold(95%CI:1.03～1.66),1.55-fold(95%CI:1.23～1.95),and 1.60-fold(95%CI:1.27～2.02)increase,respectively.In the case of TyG-WHR,each 1-SD increase was associated with a 1.19-fold(95%CI:1.10～1.29)higher CRC risk,with Q4 showing a 1.42-fold(95%CI:1.14～1.77)increased risk compared to Q1.Finally,for TyG-WWI,each 1-SD increase was associated with a 1.22-fold(95%CI:1.13～1.32)elevated CRC risk,with both Q3 and Q4 showing a 1.58-fold increase(Q3:95%CI:1.26～1.98;Q4:95%CI:1.25～1.99).Stratified analyses by sex and age consistently revealed significant associations between the TyG index and its modified variants and CRC risk.Furthermore,these indices were independently associated with the incidence of both colon cancer and rectal cancer.Conclusions(1)Elevated levels of the TyG index and its modified variants are independent risk factors for CRC.(2)Both the TyG index and its modified forms demonstrate a significant dose-response association with the incidence of CRC.(3)Among the modified TyG indices,TyG-WWI,TyG-WHtR,TyG-BMI,TyG-WC,and TyG-WHR showed stronger correlations with CRC risk compared to the original TyG index.

Objective:To explore the research hotspots and trends of artificial intelligence in elderly delirium, and to provide reference for clinical healthcare professionals.Methods:The Web of Science Core Collection database was used as the data source to obtain literature on "artificial intelligence" and "elderly delirium". The search period was from January 1, 2017 to July 29, 2024. CiteSpace software was used for visual analysis of the included literature.Results:A total of 99 articles were included, with an overall upward trend in the number of publications. The United States had the most publications ( n=43), followed by China ( n=25). The institution with the most publications was Harvard Medical School ( n=8), followed by Sichuan University ( n=7). Journal of the American Geriatrics Society was the most co-cited journal. Based on the keywords, research hotspots mainly focused on the construction and validation of the risk prediction model of elderly delirium, intelligent diagnosis of elderly delirium, and intelligent elderly delirium nursing program. Future studies could explore reliability, ICU and validity. Conclusions:Artificial intelligence is increasingly being researched in elderly delirium to facilitate personalized nursing programs for elderly delirium in all aspects, from disease prediction, risk assessment, early diagnostic monitoring to intervention strategy development. In the future, trends in artificial intelligence research in the field of elderly delirium will revolve around improving the reliability of diagnosis, spreading its use in ICU, and optimizing predictive models.

OBJECTIVE To explore the effect and underlying mechanism of leucine(Leu)on meta-bolic dysfunction-associated fatty liver disease induced by high fat diet(HFD)in mice.METHODS C57BL/6J male mice were randomly divided into chow diet(normal),chow diet+Leu(normal+Leu),HFD and HFD+Leu groups,with 10 mice in each group.The mice in the normal and normal+Leu groups received chow diet while those in the HFD and HFD+Leu groups received HFD.Drinking water for mice in the normal+Leu and HFD+Leu groups was supplemented with 1.5%Leu.The experiment lasted 24 weeks,total food and water intake of mice were recorded weekly to calculate energy and Leu intake respectively.Energy metabolism of mice was detected at week 20 by the Oxymas/CLAMS Animal Metabolic System heat production,CO2 exhalation,O2 consumption and respiratory exchange rate(RER).At the end of week 24,the mice were sacrificed and the livers were harvested,followed by the oil red O staining to reveal the fat content.Western blotting was performed to analyze the changes in the activity of the liver branched-chain α-keto acid dehydrogenase E1α(BCKDE1A),the activation of AMP-activated protein kinase alpha subunit(AMPKα),and the protein expressions of downstream effector molecules including silent information regulator 1(SIRT1)and peroxisome proliferator-activated receptor coactivator-1α(PGC-1α),fatty acid synthetase(FAS)and fatty acid binding protein 4(FABP4)in the liver of mice.RESULTS Total Leu intake of mice was significantly reduced in the HFD+Leu group,compared with the normal+Leu group.The mice fed with HFD significantly increased the energy intake body mass gain and liver mass,accompanied by fat accumulation in the liver,compared to the mice in the normal group.Simultaneously,the mice in the HFD group showed a decrease in CO2 exha-lation both by day and by night,and in the respiratory exchange ratio by day compared to the normal group.Compared with the HFD group,the body mass gain and liver mass obviously decreased in mice of the HFD+Leu group,and the liver fat accumulation was reduced.The mice in the HFD+Leu group exhib-ited higher heat production and O2 consumption,along with an increase in CO2 exhalation by day and by night.In addition,heat production,CO2 exhalation,and O2 consumption were significantly higher by night than by day(P<0.01).As for the respiratory exchange ratio,a night increase was seen in the mice from the normal group,normal+Leu group,and HFD group,but not in the HFD+Leu group.The results of Western blotting showed that compared with the normal group,the BCKDE1A phosphorylation inacti-vation was enhanced,AMPKα phosphorylation activation alleviated,the protein expressions of SIRT1 and PGC-1α downregulated(P<0.05),and the protein expressions of FAS and FABP4 increased in the livers of mice in the HFD group.Compared with the HFD group,the BCKDE1A phosphorylation inacti-vation was alleviated,AMPKα phosphorylation activation enhanced,the protein expressions of SIRT1 and PGC-1α increased,and the protein expressions of FAS and FABP4 downregulated in the livers of mice in the HFD+Leu group.CONCLUSION Leu can alleviate HFD-induced metabolic dysfunction-associated fatty liver disease in mice,which may be closely related to the promotion of energy metabo-lism and inhibition of fat synthesis.