Colorectal cancer(CRC)is a prevalent malignancy worldwide,posing a significant public health concern.Mounting evidence has confirmed that timely early screening facilitates the detection of incipient CRC,thereby enhan...Colorectal cancer(CRC)is a prevalent malignancy worldwide,posing a significant public health concern.Mounting evidence has confirmed that timely early screening facilitates the detection of incipient CRC,thereby enhancing patient prognosis.Obviously,non-participation of asymptomatic individuals in screening programs hampers early diagnosis and may adversely affect long-term outcomes for CRC patients.In this letter,we provide a comprehensive overview of the current status of early screening practices,while also thoroughly examine the dilemmas and potential solutions associated with early screening for CRC.In response to these issues,we proffer a set of recommendations directed at governmental authorities and the general public,which focus on augmenting financial investment,establishing standardized screening protocols,advancing technological capabilities,and bolstering public awareness campaigns.The importance of collaborative efforts from various stakeholders cannot be overstated in the quest to enhance early detection rates and alleviate the societal burden of CRC.展开更多
Natural antimicrobial peptides(AMPs)are promising candidates for the development of a new generation of antimicrobials to combat antibiotic-resistant pathogens.They have found extensive applications in the fields of m...Natural antimicrobial peptides(AMPs)are promising candidates for the development of a new generation of antimicrobials to combat antibiotic-resistant pathogens.They have found extensive applications in the fields of medicine,food,and agriculture.However,efficiently screening AMPs from natural sources poses several challenges,including low efficiency and high antibiotic resistance.This review focuses on the action mechanisms of AMPs,both through membrane and non-membrane routes.We thoroughly examine various highly efficient AMP screening methods,including whole-bacterial adsorption binding,cell membrane chromatography(CMC),phospholipid membrane chromatography binding,membranemediated capillary electrophoresis(CE),colorimetric assays,thin layer chromatography(TLC),fluorescence-based screening,genetic sequencing-based analysis,computational mining of AMP databases,and virtual screening methods.Additionally,we discuss potential developmental applications for enhancing the efficiency of AMP discovery.This review provides a comprehensive framework for identifying AMPs within complex natural product systems.展开更多
Rapid screening of inorganic arsenic(iAs)in groundwater used for drinking by hundreds of millions of mostly rural residents worldwide is crucial for health protection.Most commercial field test kits are based on the G...Rapid screening of inorganic arsenic(iAs)in groundwater used for drinking by hundreds of millions of mostly rural residents worldwide is crucial for health protection.Most commercial field test kits are based on the Gutzeit reaction that uses mercury-based reagents for color development,an environmental concern that increasingly limits its utilization.This study further improves the Molybdenum Blue(MB)colorimetric method to allow for faster screening with more stable reagents.More importantly,a portable three-channel colorimeter is developed for screening iAs relative to the WHO drinking water guideline value(10μg/L).Adding the reducing reagents in sequence not only prolongs the storage time to>7 days,but also accelerates the color development time to 6 min in conjunction with lowering the H_(2)SO_(4) concentration in chromogenic reagents.The optimal pH ranges from 1.2 to 1.3 and is achieved by acidifying groundwater to 1%(V/V)HCl.With detection limits of 3.7μg/L for inorganic arsenate(iAs(V))and 3.8μg/L for inorganic arsenite(iAs(Ⅲ)),testing groundwater with-10μg/L of As has a precision<20%.The method works well for a range of phosphate concentrations of 48-950μg/L(0.5-10μmol/L).Concentrations of total_iAs(6-300μg/L),iAs(V)(6-230μg/L)and iAs(Ⅲ)(0-170μg/L)for 14 groundwater samples from Yinchuan Plain,Pearl River Delta,and Jianghan Plain,are in excellent agreements(linear regression slope:0.969-1.029)with the benchmark methods.The improved chemistry here lays the foundation for the MB colorimetric method to become a commercially viable screening tool,with further engineering and design improvement of the colorimeter.展开更多
Solid-state batteries are widely recognized as the next-generation energy storage devices with high specific energy,high safety,and high environmental adaptability.However,the research and development of solid-state b...Solid-state batteries are widely recognized as the next-generation energy storage devices with high specific energy,high safety,and high environmental adaptability.However,the research and development of solid-state batteries are resource-intensive and time-consuming due to their complex chemical environment,rendering performance prediction arduous and delaying large-scale industrialization.Artificial intelligence serves as an accelerator for solid-state battery development by enabling efficient material screening and performance prediction.This review will systematically examine how the latest progress in using machine learning(ML)algorithms can be used to mine extensive material databases and accelerate the discovery of high-performance cathode,anode,and electrolyte materials suitable for solid-state batteries.Furthermore,the use of ML technology to accurately estimate and predict key performance indicators in the solid-state battery management system will be discussed,among which are state of charge,state of health,remaining useful life,and battery capacity.Finally,we will summarize the main challenges encountered in the current research,such as data quality issues and poor code portability,and propose possible solutions and development paths.These will provide clear guidance for future research and technological reiteration.展开更多
This study investigated environmental distribution and human exposure of polycyclic aromatic hydrocarbons(PAHs)and their derivatives in one Chinese petroleum refinery facility.It was found that,following with high con...This study investigated environmental distribution and human exposure of polycyclic aromatic hydrocarbons(PAHs)and their derivatives in one Chinese petroleum refinery facility.It was found that,following with high concentrations of 16 EPA PAHs(∑Parent-PAHs)in smelting subarea of studied petroleum refinery facility,total derivatives of PAHs[named as XPAHs,including nitro PAHs(NPAHs),chlorinated PAHs(Cl-PAHs),and brominated PAHs(Br-PAHs)]in gas(mean=1.57×10^(4)ng/m^(3)),total suspended particulate(TSP)(mean=4.33×10^(3) ng/m^(3))and soil(mean=4.37×10^(3) ng/g)in this subarea had 1.76-6.19 times higher levels than those from other subareas of this facility,surrounding residential areas and reference areas,indicating that petroleum refining processes would lead apparent derivation of PAHs.Especially,compared with those in residential and reference areas,gas samples in the petrochemical areas had higher∑NPAH/∑PAHs(mean=2.18),but lower∑Cl-PAH/∑PAHs(mean=1.43×10^(-1))and∑Br-PAH/∑PAHs ratios(mean=7.49×10^(-2)),indicating the richer nitrification of PAHs than chlorination during petrochemical process.The occupational exposure to PAHs and XPAHs in this petroleum refinery facility were 24-343 times higher than non-occupational exposure,and the ILCR(1.04×10^(-4))for petrochemical workers was considered to be potential high risk.Furthermore,one expanded high-resolution screening through GC Orbitrap/MS was performed for soils from petrochemical area,and another 35 PAHs were found,including alkyl-PAHs,phenyl-PAHs and other species,indicat-ing that profiles and risks of PAHs analogs in petrochemical areas deserve further expanded investigation.展开更多
Liver transplantation(LT)is the definitive treatment for end-stage liver disease,acute liver failure,and liver cancer.Although advancements in surgical techniques,postoperative care,and immunosuppressive therapies hav...Liver transplantation(LT)is the definitive treatment for end-stage liver disease,acute liver failure,and liver cancer.Although advancements in surgical techniques,postoperative care,and immunosuppressive therapies have significantly improved outcomes,the long-term use of immunosuppression has increased the risk of complications,including infections,cardiovascular disease,and cancer.Among these,de novo malignancies(DNMs)are a major concern,accounting for 20%-25%of deaths in LT recipients surviving beyond the early post-transplant period.Non-melanoma skin cancers,particularly squamous cell carcinoma are the most prevalent DNMs.Other significant malignancies include Kaposi's sarcoma,post-transplant lymphoproliferative disorders,and various solid organ cancers,including head and neck cancers.Compared to the general population,LT patients face a twofold increase in solid organ malignancies and a 30-fold increase in lymphoproliferative disorders.Risk factors for DNM include chronic immunosuppression,alcohol or tobacco use,viral infections,and underlying liver disease.Emerging evidence emphasizes the importance of tailored cancer screening and prevention strategies,including regular dermatological examinations,targeted screenings for high-risk cancers,and patient education on lifestyle modifications.Early detection through enhanced surveillance protocols has been shown to improve outcomes.Management of DNMs involves a combination of standard oncological therapies and adjustments to immunosuppressive regimens,with promising results from the use of mTOR inhibitors in select patients.The review highlights the critical need for ongoing research to refine risk stratification,optimize screening protocols,and improve treatment approaches to mitigate the burden of DNMs in LT recipients.By implementing personalized preventive and therapeutic strategies,we can enhance long-term outcomes and quality of life for this vulnerable population.展开更多
Accurate prediction of drug-target interactions(DTIs)plays a pivotal role in drug discovery,facilitating optimization of lead compounds,drug repurposing and elucidation of drug side effects.However,traditional DTI pre...Accurate prediction of drug-target interactions(DTIs)plays a pivotal role in drug discovery,facilitating optimization of lead compounds,drug repurposing and elucidation of drug side effects.However,traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features.In this study,we proposed KG-CNNDTI,a novel knowledge graph-enhanced framework for DTI prediction,which integrates heterogeneous biological information to improve model generalizability and predictive performance.The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm,which were further enriched with contextualized sequence representations obtained from ProteinBERT.For compound representation,multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated.The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor.Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods,particularly in terms of Precision,Recall,F1-Score and area under the precision-recall curve(AUPR).Ablation analysis highlighted the substantial contribution of knowledge graph-derived features.Moreover,KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease,resulting in 40 candidate compounds.5 were supported by literature evidence,among which 3 were further validated in vitro assays.展开更多
Helicobacter pylori(H.pylori)infection induces pathological changes via chronic inflammation and virulence factors,thereby increasing the risk of gastric cancer development.Compared with invasive examination methods,H...Helicobacter pylori(H.pylori)infection induces pathological changes via chronic inflammation and virulence factors,thereby increasing the risk of gastric cancer development.Compared with invasive examination methods,H.pylori-related serum indicators are cost-effective and valuable for the early detection of gastric cancer(GC);however,large-scale clinical validation and sufficient understanding of the specific molecular mechanisms involved are lacking.Therefore,a comprehensive review and analysis of recent advances in this field is necessary.In this review,we systematically analyze the relationship between H.pylori and GC and discuss the application of new molecular biomarkers in GC screening.We also summarize the screening potential and application of anti-H.pylori immunoglobulin G and virulence factor-related serum antibodies for identifying GC risk.These indicators provide early warning of infection and enhance screening accuracy.Additionally,we discuss the potential combination of multiple screening indicators for the comprehensive analysis and development of emerging testing methods to improve the accuracy and efficiency of GC screening.Although this review may lack sufficient evidence due to limitations in existing studies,including small sample sizes,regional variations,and inconsistent testing methods,it contributes to advancing personalized precision medicine in high-risk populations and developing GC screening strategies.展开更多
The high porosity and tunable chemical functionality of metal-organic frameworks(MOFs)make it a promising catalyst design platform.High-throughput screening of catalytic performance is feasible since the large MOF str...The high porosity and tunable chemical functionality of metal-organic frameworks(MOFs)make it a promising catalyst design platform.High-throughput screening of catalytic performance is feasible since the large MOF structure database is available.In this study,we report a machine learning model for high-throughput screening of MOF catalysts for the CO_(2) cycloaddition reaction.The descriptors for model training were judiciously chosen according to the reaction mechanism,which leads to high accuracy up to 97%for the 75%quantile of the training set as the classification criterion.The feature contribution was further evaluated with SHAP and PDP analysis to provide a certain physical understanding.12,415 hypothetical MOF structures and 100 reported MOFs were evaluated under 100℃ and 1 bar within one day using the model,and 239 potentially efficient catalysts were discovered.Among them,MOF-76(Y)achieved the top performance experimentally among reported MOFs,in good agreement with the prediction.展开更多
Diabetic retinopathy(DR)remains a leading cause of vision impairment and blindness among individuals with diabetes,necessitating innovative approaches to screening and management.This editorial explores the transforma...Diabetic retinopathy(DR)remains a leading cause of vision impairment and blindness among individuals with diabetes,necessitating innovative approaches to screening and management.This editorial explores the transformative potential of artificial intelligence(AI)and machine learning(ML)in revolutionizing DR care.AI and ML technologies have demonstrated remarkable advancements in enhancing the accuracy,efficiency,and accessibility of DR screening,helping to overcome barriers to early detection.These technologies leverage vast datasets to identify patterns and predict disease progression with unprecedented precision,enabling clinicians to make more informed decisions.Furthermore,AI-driven solutions hold promise in personalizing management strategies for DR,incorpo-rating predictive analytics to tailor interventions and optimize treatment path-ways.By automating routine tasks,AI can reduce the burden on healthcare providers,allowing for a more focused allocation of resources towards complex patient care.This review aims to evaluate the current advancements and applic-ations of AI and ML in DR screening,and to discuss the potential of these techno-logies in developing personalized management strategies,ultimately aiming to improve patient outcomes and reduce the global burden of DR.The integration of AI and ML in DR care represents a paradigm shift,offering a glimpse into the future of ophthalmic healthcare.展开更多
Colorectal cancer(CRC)is the third most commonly diagnosed cancer and the second leading cause of cancer death worldwide.The leading risk factors for CRC include male gender,age over 50,family history,obesity,tobacco ...Colorectal cancer(CRC)is the third most commonly diagnosed cancer and the second leading cause of cancer death worldwide.The leading risk factors for CRC include male gender,age over 50,family history,obesity,tobacco smoking,alco-hol consumption,and unhealthy diet.CRC screening methods vary considerably between countries and depend on incidence,economic resources and healthcare structure.Important aspects of screening include adherence,which can vary signi-ficantly across ethnic and socioeconomic groups.Basic concepts of CRC screening include pre-stratification of patients by identifying risk factors and then using fecal immunochemical test or guaiac-based fecal occult blood test and/or colono-scopy or radiologic imaging techniques.Technological capabilities for CRC scree-ning are rapidly evolving and include stool DNA test,liquid biopsy,virtual colo-nography,and the use of artificial intelligence.A CRC prevention strategy should be comprehensive and include active patient education along with targeted imple-mentation of screening.展开更多
BACKGROUND Neonatal screening(NS)is a public health policy to identify genetic pathologies such as cystic fibrosis(CF),sickle cell disease,and other diseases.Sickle cell disea-se is the comprehensive term for a group ...BACKGROUND Neonatal screening(NS)is a public health policy to identify genetic pathologies such as cystic fibrosis(CF),sickle cell disease,and other diseases.Sickle cell disea-se is the comprehensive term for a group of hemoglobinopathies characterized by the presence of hemoglobin S.CF is an autosomal recessive multisystemic disease with pathophysiology involving deleterious mutations in the transmembrane re-gulatory gene that encodes a protein that regulates the activity of chloride and sodium channels in the cell surface epithelium.NS is crucial for early diagnosis and management,which ensures a better quality of life.AIM To report a case of the coexistence of sickle cell anemia(SCA)and CF and perform an integrative literature review.METHODS This is an observational study and a review of the literature focusing on two rare genetic pathologies identified simultaneously in NS from the perspective of a clinical case.The authors identified only 5 cases of SCA associated with CF.No clinical trials or review articles were identified considering the rarity of the coexistence of these two pathologies.RESULTS Herein,the authors reported the case of a girl who after undergoing NS on day 8 of life was diagnosed with SCA with an alteration in the dosage of immunoreactive trypsin.The diagnosis of CF was confirmed by the Coulometry Sweat Test.The rarity of the co-occurrence of these two severe genetic pathologies(CF and SCA)is a challenge for medical science.CONCLUSION This study adds to the few case reports present in the literature that highlight the identification of two severe diseases via NS.展开更多
BACKGROUND The Asia-Pacific Colorectal Screening(APCS)score was designed with the purpose of distinguishing individuals at high risk(HR)for colorectal advanced neoplasia(AN).Traditional Chinese medicine(TCM)constituti...BACKGROUND The Asia-Pacific Colorectal Screening(APCS)score was designed with the purpose of distinguishing individuals at high risk(HR)for colorectal advanced neoplasia(AN).Traditional Chinese medicine(TCM)constitution was also linked with colorectal cancer(CRC).AIM To integrate the APCS score with TCM constitution identification as a new algorithm to screen for CRC.METHODS A cross-sectional multicenter study was carried out in three hospitals,enrolling 1430 patients who were asymptomatic and undergoing screening colonoscopy from 2022 to 2023.Patients were considered to have average risk,moderate risk,or HR with their APCS score.Odd ratios assessed the relationship between TCM constitution and disease progression.A TCM constitution risk score was created.The sensitivity and specificity of the new algorithm were calculated to evaluate diagnostic performance in detecting advanced adenoma(AA),CRC,and AN.RESULTS Of the 1430 patients,370(25.9%)were categorized as average risk,755(52.8%)as moderate risk,and 305(21.3%)as HR.Using the combined APCS score and the TCM constitution(damp-heat,qi-deficiency,yang-deficiency,phlegm-dampness,and inherited special constitution as positive)algorithm,72.2%of patients with AA and 73.7%of patients with AN were detected.Compared with the APCS score alone,the new algorithm significantly improved the sensitivity for screening AA[72.2%,95%confidence interval(CI):64.4%-80.0%vs 49.2%,95%CI:40.5%-57.9%]and AN(73.7%,95%CI:66.4%-81.1%vs 51.1%,95%CI:42.7%-59.5%).CONCLUSION The combination of APCS and TCM constitution identification questionnaires was valuable in identifying Chinese individuals who were asymptomatic for colorectal screening prioritization.展开更多
Cancer screening is a strategy focused on highrisk populations rather than universal populationwide screening, based on a comprehensive evaluation of epidemiological principles and practical feasibility. The effective...Cancer screening is a strategy focused on highrisk populations rather than universal populationwide screening, based on a comprehensive evaluation of epidemiological principles and practical feasibility. The effectiveness of screening depends on factors such as disease prevalence, as well as the sensitivity and specificity of the screening technology employed.展开更多
Trehalase hydrolyzes trehalose to glucose to provide energy for insects or building blocks for chitin synthesis.Because trehalase is critical to insects but not to humans,it has long been considered a promising target...Trehalase hydrolyzes trehalose to glucose to provide energy for insects or building blocks for chitin synthesis.Because trehalase is critical to insects but not to humans,it has long been considered a promising target for green insecticides.However,the known trehalase inhibitors are mainly sugar derivatives with poor druggability.In this study,the trehalase from Ostrinia furnacalis(OfTreh)was expressed and characterized.By integrative computational strategies,diphenyl ether herbicides were discovered as the first non-carbohydrate inhibitors of insect trehalases.Bifenox and its more stable derivative,chlomethoxyfen,inhibited Of Treh with Ki values of 56 and 43μM,respectively.The oral administration of bifenox or chlomethoxyfen to locusts resulted in the inhibition of trehalose hydrolysis in vivo,leading to a mortality rate of 66%and server locomotion disorder in the survivors.This study not only established a platform for the development of insecticides targeting trehalase but also discovered a new mechanism for diphenyl ethers to kill insects as trehalase inhibitors.展开更多
Target-based and phenotype-based methods are the two main approaches for drug screening.Target-based drug screening focuses on specific targets CPA highly correlated with disease mechanisms,by detecting protein-ligand...Target-based and phenotype-based methods are the two main approaches for drug screening.Target-based drug screening focuses on specific targets CPA highly correlated with disease mechanisms,by detecting protein-ligand binding structure,dynamics and affinity.Currently,the four mainstream drug targets are G protein-coupled receptors(GPCRs),kinases,ion channels,and nuclear receptors,accounting for over 70%of effective drug targets,most of which are membrane proteins and enzymes.In recent years,various new drug targets have been continuously discovered,and the research focus has shifted from simple affinity analysis to high-throughput and high-content screening,as well as exploring drug-target interaction modes.These deepen reliance on the analytical techniques to have higher sensitivity,recognition specificity,and applicability to diversified target structures,which promoting the rapid development of novel screening methods.展开更多
Objective To examine the effect of excess body weight on adherence and lesion detection in colorectal cancer(CRC)screening.Methods A cross-sectional analysis was conducted within an opportunistic CRC screening program...Objective To examine the effect of excess body weight on adherence and lesion detection in colorectal cancer(CRC)screening.Methods A cross-sectional analysis was conducted within an opportunistic CRC screening program in Chongqing,which enrolled 43,797 adults aged 35–74 years between 2021 and 2022.A total of 42,279 participants were included in the final analysis,of whom 19,462(46.0%)had excess body weight(BMI>24.0 kg/m2).Colonoscopy adherence and detection were compared between normal and excess body weight group,and associated factors were examined.Results Of the 7,002 participants recommended for colonoscopy,3,808(54.4%)had excess body weight.Adherence was significantly lower in the excess weight group(6.6%)than in the normal weight group(10.7%,P<0.001),and this trend was consistent across sex and age groups.The detection rates of advanced neoplasms(3.6%vs.1.8%)and non-advanced adenomas(10.7%vs.6.7%)were higher in the excess weight cohort,with a significant difference for any neoplasm(14.2%vs.8.9%,P<0.05).Differences in adherence-and detection-related factors were also observed between the groups.Conclusion Excess body weight was associated with lower colonoscopy adherence but higher neoplasm detection.These findings support the integration of weight management with targeted screening promotion to improve CRC prevention in this high-risk population.展开更多
Multiorgan-on-a-chip(MOoC)systems are advanced microfluidic devices that integrate multiple organ models into a single modular unit,each composed of cells derived from various tissues or organs.These systems enable in...Multiorgan-on-a-chip(MOoC)systems are advanced microfluidic devices that integrate multiple organ models into a single modular unit,each composed of cells derived from various tissues or organs.These systems enable interorgan communication and accurately replicate physiological conditions,providing a more physiologically relevant modeling framework for constructing disease models and predicting drug efficacy and toxicity.MOoC systems also provide significant advantages in terms of flexibility,cost-effectiveness,and reproducibility,making them valuable tools for drug development and toxicity assessment.In this review,we first provide an overview of the MOoC technology,covering cell sources,stimulations,materials and fabrication techniques,and biosensors.We then examine the application of MOoC systems in disease modeling,focusing on cancer metastasis,metabolic disorders,and cardiovascular disease.We next discuss the use of MOoC systems in drug toxicity evaluation and drug screening,emphasizing their role in providing comprehensive assessments of drug effects.Finally,we address the challenges it faces and the future perspectives of the MOoC technology.展开更多
Human papillomavirus(HPV)infection is a common sexually transmitted disease and a leading cause of cervical,other anogenital,and oropharyngeal cancers.Screening for precancerous lesions is an effective strategy for pr...Human papillomavirus(HPV)infection is a common sexually transmitted disease and a leading cause of cervical,other anogenital,and oropharyngeal cancers.Screening for precancerous lesions is an effective strategy for preventing HPVrelated tumors.Although HPV vaccination has significantly reduced the incidence of cervical cancer,achieving universal coverage remains challenging because of cost barriers,particularly in economically disadvantaged regions.This review provides an update of HPV infection characteristics,screening methods,and strategies tailored to low-resource settings.We also discuss the global burden of HPV-related diseases,regional disparities in the implementation of screening,and future research directions.By examining the current challenges and opportunities,this review aims to inform policymakers and healthcare providers in designing effective,affordable,and scalable screening programs.展开更多
Objective:A risk-based sequential screening strategy,from questionnaire-based assessment to biomarker measurement and then to endoscopic examination,has the potential to enhance gastric cancer(GC)screening efficiency....Objective:A risk-based sequential screening strategy,from questionnaire-based assessment to biomarker measurement and then to endoscopic examination,has the potential to enhance gastric cancer(GC)screening efficiency.We aimed to evaluate the ability of five common stomach-specific serum biomarkers to further enrich high-risk individuals for GC in the questionnaire-identified high-risk population.Methods:This study was conducted based on a risk-based screening program in Ningxia Hui Autonomous Region,China.We first performed questionnaire assessment involving 23,381 individuals(7,042 outpatients and 16,339 individuals from the community),and those assessed as“high-risk”were then invited to participate in serological assays and endoscopic examinations.The serological biomarker model was derived based on logistic regression,with predictors selected via the Akaike information criterion.Model performance was evaluated by the area under the receiver operating characteristic curve(AUC).Results:A total of 2,011 participants were ultimately included for analysis.The final serological biomarker model had three predictors,comprising pepsinogenⅠ(PGI),pepsinogenⅠ/Ⅱratio(PGR),and anti-Helicobacter pylori immunoglobulin G(anti-H.pylori IgG)antibodies.This model generated an AUC of 0.733(95%confidence interval:0.655-0.812)and demonstrated the best discriminative ability compared with previously developed serological biomarker models.As the risk cut-off value of our model rose,the detection rate increased and the number of endoscopies needed to detect one case decreased.Conclusions:PGI,PGR,and anti-H.pylori Ig G could be jointly used to further enrich high-risk individuals for GC among those selected by questionnaire assessment,providing insight for the development of a multi-stage riskbased sequential strategy for GC screening.展开更多
文摘Colorectal cancer(CRC)is a prevalent malignancy worldwide,posing a significant public health concern.Mounting evidence has confirmed that timely early screening facilitates the detection of incipient CRC,thereby enhancing patient prognosis.Obviously,non-participation of asymptomatic individuals in screening programs hampers early diagnosis and may adversely affect long-term outcomes for CRC patients.In this letter,we provide a comprehensive overview of the current status of early screening practices,while also thoroughly examine the dilemmas and potential solutions associated with early screening for CRC.In response to these issues,we proffer a set of recommendations directed at governmental authorities and the general public,which focus on augmenting financial investment,establishing standardized screening protocols,advancing technological capabilities,and bolstering public awareness campaigns.The importance of collaborative efforts from various stakeholders cannot be overstated in the quest to enhance early detection rates and alleviate the societal burden of CRC.
基金supported by the National Natural Science Foundation of China(Grant Nos.:82373835,82304437,and 82173781)Regional Joint Fund Project of Guangdong Basic and Applied Basic Research Fund,China(Grant Nos.:2023A1515110417 and 2023A1515140131)+2 种基金Regional Joint Fund-Key Project of Guangdong Basic and Applied Basic Research Fund,China(Grant No.:2020B1515120033)the Key Field Projects of General Universities in Guangdong Province,China(Grant Nos.:2020ZDZX2057 and 2022ZDZX2056)Medical Scientific Research Foundation of Guangdong Province of China(Grant No.:A2022061).
文摘Natural antimicrobial peptides(AMPs)are promising candidates for the development of a new generation of antimicrobials to combat antibiotic-resistant pathogens.They have found extensive applications in the fields of medicine,food,and agriculture.However,efficiently screening AMPs from natural sources poses several challenges,including low efficiency and high antibiotic resistance.This review focuses on the action mechanisms of AMPs,both through membrane and non-membrane routes.We thoroughly examine various highly efficient AMP screening methods,including whole-bacterial adsorption binding,cell membrane chromatography(CMC),phospholipid membrane chromatography binding,membranemediated capillary electrophoresis(CE),colorimetric assays,thin layer chromatography(TLC),fluorescence-based screening,genetic sequencing-based analysis,computational mining of AMP databases,and virtual screening methods.Additionally,we discuss potential developmental applications for enhancing the efficiency of AMP discovery.This review provides a comprehensive framework for identifying AMPs within complex natural product systems.
基金the National Key R&D Program of China(No.2021YFA0715900)the National Natural Science Foundation of China(No.41831279)+2 种基金the Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks(No.ZDSYS20220606100604008)the Guangdong Province Bureau of Education(No.2020KCXTD006)the Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control(No.2023B1212060002).
文摘Rapid screening of inorganic arsenic(iAs)in groundwater used for drinking by hundreds of millions of mostly rural residents worldwide is crucial for health protection.Most commercial field test kits are based on the Gutzeit reaction that uses mercury-based reagents for color development,an environmental concern that increasingly limits its utilization.This study further improves the Molybdenum Blue(MB)colorimetric method to allow for faster screening with more stable reagents.More importantly,a portable three-channel colorimeter is developed for screening iAs relative to the WHO drinking water guideline value(10μg/L).Adding the reducing reagents in sequence not only prolongs the storage time to>7 days,but also accelerates the color development time to 6 min in conjunction with lowering the H_(2)SO_(4) concentration in chromogenic reagents.The optimal pH ranges from 1.2 to 1.3 and is achieved by acidifying groundwater to 1%(V/V)HCl.With detection limits of 3.7μg/L for inorganic arsenate(iAs(V))and 3.8μg/L for inorganic arsenite(iAs(Ⅲ)),testing groundwater with-10μg/L of As has a precision<20%.The method works well for a range of phosphate concentrations of 48-950μg/L(0.5-10μmol/L).Concentrations of total_iAs(6-300μg/L),iAs(V)(6-230μg/L)and iAs(Ⅲ)(0-170μg/L)for 14 groundwater samples from Yinchuan Plain,Pearl River Delta,and Jianghan Plain,are in excellent agreements(linear regression slope:0.969-1.029)with the benchmark methods.The improved chemistry here lays the foundation for the MB colorimetric method to become a commercially viable screening tool,with further engineering and design improvement of the colorimeter.
基金the National Key Research Program of China under granted No.92164201National Natural Science Foundation of China for Distinguished Young Scholars No.62325403+2 种基金Natural Science Foundation of Jiangsu Province(BK20230498)Jiangsu Funding Program for Excellent Postdoctoral Talent(2024ZB427)the National Natural Science Foundation of China(62304147).
文摘Solid-state batteries are widely recognized as the next-generation energy storage devices with high specific energy,high safety,and high environmental adaptability.However,the research and development of solid-state batteries are resource-intensive and time-consuming due to their complex chemical environment,rendering performance prediction arduous and delaying large-scale industrialization.Artificial intelligence serves as an accelerator for solid-state battery development by enabling efficient material screening and performance prediction.This review will systematically examine how the latest progress in using machine learning(ML)algorithms can be used to mine extensive material databases and accelerate the discovery of high-performance cathode,anode,and electrolyte materials suitable for solid-state batteries.Furthermore,the use of ML technology to accurately estimate and predict key performance indicators in the solid-state battery management system will be discussed,among which are state of charge,state of health,remaining useful life,and battery capacity.Finally,we will summarize the main challenges encountered in the current research,such as data quality issues and poor code portability,and propose possible solutions and development paths.These will provide clear guidance for future research and technological reiteration.
基金supported by the National Key Research and Development Program of China(No.2019YFC1804501)the National Natural Science Foundation of China(Nos.22036007 and 22122611)+1 种基金the Natural Science Foundation of Shandong Province(No.ZR2020ME228)the Introduction and Cultivation Plan for Young Innovative Talents of Colleges and Universities.
文摘This study investigated environmental distribution and human exposure of polycyclic aromatic hydrocarbons(PAHs)and their derivatives in one Chinese petroleum refinery facility.It was found that,following with high concentrations of 16 EPA PAHs(∑Parent-PAHs)in smelting subarea of studied petroleum refinery facility,total derivatives of PAHs[named as XPAHs,including nitro PAHs(NPAHs),chlorinated PAHs(Cl-PAHs),and brominated PAHs(Br-PAHs)]in gas(mean=1.57×10^(4)ng/m^(3)),total suspended particulate(TSP)(mean=4.33×10^(3) ng/m^(3))and soil(mean=4.37×10^(3) ng/g)in this subarea had 1.76-6.19 times higher levels than those from other subareas of this facility,surrounding residential areas and reference areas,indicating that petroleum refining processes would lead apparent derivation of PAHs.Especially,compared with those in residential and reference areas,gas samples in the petrochemical areas had higher∑NPAH/∑PAHs(mean=2.18),but lower∑Cl-PAH/∑PAHs(mean=1.43×10^(-1))and∑Br-PAH/∑PAHs ratios(mean=7.49×10^(-2)),indicating the richer nitrification of PAHs than chlorination during petrochemical process.The occupational exposure to PAHs and XPAHs in this petroleum refinery facility were 24-343 times higher than non-occupational exposure,and the ILCR(1.04×10^(-4))for petrochemical workers was considered to be potential high risk.Furthermore,one expanded high-resolution screening through GC Orbitrap/MS was performed for soils from petrochemical area,and another 35 PAHs were found,including alkyl-PAHs,phenyl-PAHs and other species,indicat-ing that profiles and risks of PAHs analogs in petrochemical areas deserve further expanded investigation.
文摘Liver transplantation(LT)is the definitive treatment for end-stage liver disease,acute liver failure,and liver cancer.Although advancements in surgical techniques,postoperative care,and immunosuppressive therapies have significantly improved outcomes,the long-term use of immunosuppression has increased the risk of complications,including infections,cardiovascular disease,and cancer.Among these,de novo malignancies(DNMs)are a major concern,accounting for 20%-25%of deaths in LT recipients surviving beyond the early post-transplant period.Non-melanoma skin cancers,particularly squamous cell carcinoma are the most prevalent DNMs.Other significant malignancies include Kaposi's sarcoma,post-transplant lymphoproliferative disorders,and various solid organ cancers,including head and neck cancers.Compared to the general population,LT patients face a twofold increase in solid organ malignancies and a 30-fold increase in lymphoproliferative disorders.Risk factors for DNM include chronic immunosuppression,alcohol or tobacco use,viral infections,and underlying liver disease.Emerging evidence emphasizes the importance of tailored cancer screening and prevention strategies,including regular dermatological examinations,targeted screenings for high-risk cancers,and patient education on lifestyle modifications.Early detection through enhanced surveillance protocols has been shown to improve outcomes.Management of DNMs involves a combination of standard oncological therapies and adjustments to immunosuppressive regimens,with promising results from the use of mTOR inhibitors in select patients.The review highlights the critical need for ongoing research to refine risk stratification,optimize screening protocols,and improve treatment approaches to mitigate the burden of DNMs in LT recipients.By implementing personalized preventive and therapeutic strategies,we can enhance long-term outcomes and quality of life for this vulnerable population.
基金supported by the National Natural Science Foundation of China(Nos.82173746 and U23A20530)Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism(Shanghai Municipal Education Commission)。
文摘Accurate prediction of drug-target interactions(DTIs)plays a pivotal role in drug discovery,facilitating optimization of lead compounds,drug repurposing and elucidation of drug side effects.However,traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features.In this study,we proposed KG-CNNDTI,a novel knowledge graph-enhanced framework for DTI prediction,which integrates heterogeneous biological information to improve model generalizability and predictive performance.The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm,which were further enriched with contextualized sequence representations obtained from ProteinBERT.For compound representation,multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated.The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor.Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods,particularly in terms of Precision,Recall,F1-Score and area under the precision-recall curve(AUPR).Ablation analysis highlighted the substantial contribution of knowledge graph-derived features.Moreover,KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease,resulting in 40 candidate compounds.5 were supported by literature evidence,among which 3 were further validated in vitro assays.
文摘Helicobacter pylori(H.pylori)infection induces pathological changes via chronic inflammation and virulence factors,thereby increasing the risk of gastric cancer development.Compared with invasive examination methods,H.pylori-related serum indicators are cost-effective and valuable for the early detection of gastric cancer(GC);however,large-scale clinical validation and sufficient understanding of the specific molecular mechanisms involved are lacking.Therefore,a comprehensive review and analysis of recent advances in this field is necessary.In this review,we systematically analyze the relationship between H.pylori and GC and discuss the application of new molecular biomarkers in GC screening.We also summarize the screening potential and application of anti-H.pylori immunoglobulin G and virulence factor-related serum antibodies for identifying GC risk.These indicators provide early warning of infection and enhance screening accuracy.Additionally,we discuss the potential combination of multiple screening indicators for the comprehensive analysis and development of emerging testing methods to improve the accuracy and efficiency of GC screening.Although this review may lack sufficient evidence due to limitations in existing studies,including small sample sizes,regional variations,and inconsistent testing methods,it contributes to advancing personalized precision medicine in high-risk populations and developing GC screening strategies.
基金financial support from the National Key Research and Development Program of China(2021YFB 3501501)the National Natural Science Foundation of China(No.22225803,22038001,22108007 and 22278011)+1 种基金Beijing Natural Science Foundation(No.Z230023)Beijing Science and Technology Commission(No.Z211100004321001).
文摘The high porosity and tunable chemical functionality of metal-organic frameworks(MOFs)make it a promising catalyst design platform.High-throughput screening of catalytic performance is feasible since the large MOF structure database is available.In this study,we report a machine learning model for high-throughput screening of MOF catalysts for the CO_(2) cycloaddition reaction.The descriptors for model training were judiciously chosen according to the reaction mechanism,which leads to high accuracy up to 97%for the 75%quantile of the training set as the classification criterion.The feature contribution was further evaluated with SHAP and PDP analysis to provide a certain physical understanding.12,415 hypothetical MOF structures and 100 reported MOFs were evaluated under 100℃ and 1 bar within one day using the model,and 239 potentially efficient catalysts were discovered.Among them,MOF-76(Y)achieved the top performance experimentally among reported MOFs,in good agreement with the prediction.
文摘Diabetic retinopathy(DR)remains a leading cause of vision impairment and blindness among individuals with diabetes,necessitating innovative approaches to screening and management.This editorial explores the transformative potential of artificial intelligence(AI)and machine learning(ML)in revolutionizing DR care.AI and ML technologies have demonstrated remarkable advancements in enhancing the accuracy,efficiency,and accessibility of DR screening,helping to overcome barriers to early detection.These technologies leverage vast datasets to identify patterns and predict disease progression with unprecedented precision,enabling clinicians to make more informed decisions.Furthermore,AI-driven solutions hold promise in personalizing management strategies for DR,incorpo-rating predictive analytics to tailor interventions and optimize treatment path-ways.By automating routine tasks,AI can reduce the burden on healthcare providers,allowing for a more focused allocation of resources towards complex patient care.This review aims to evaluate the current advancements and applic-ations of AI and ML in DR screening,and to discuss the potential of these techno-logies in developing personalized management strategies,ultimately aiming to improve patient outcomes and reduce the global burden of DR.The integration of AI and ML in DR care represents a paradigm shift,offering a glimpse into the future of ophthalmic healthcare.
文摘Colorectal cancer(CRC)is the third most commonly diagnosed cancer and the second leading cause of cancer death worldwide.The leading risk factors for CRC include male gender,age over 50,family history,obesity,tobacco smoking,alco-hol consumption,and unhealthy diet.CRC screening methods vary considerably between countries and depend on incidence,economic resources and healthcare structure.Important aspects of screening include adherence,which can vary signi-ficantly across ethnic and socioeconomic groups.Basic concepts of CRC screening include pre-stratification of patients by identifying risk factors and then using fecal immunochemical test or guaiac-based fecal occult blood test and/or colono-scopy or radiologic imaging techniques.Technological capabilities for CRC scree-ning are rapidly evolving and include stool DNA test,liquid biopsy,virtual colo-nography,and the use of artificial intelligence.A CRC prevention strategy should be comprehensive and include active patient education along with targeted imple-mentation of screening.
文摘BACKGROUND Neonatal screening(NS)is a public health policy to identify genetic pathologies such as cystic fibrosis(CF),sickle cell disease,and other diseases.Sickle cell disea-se is the comprehensive term for a group of hemoglobinopathies characterized by the presence of hemoglobin S.CF is an autosomal recessive multisystemic disease with pathophysiology involving deleterious mutations in the transmembrane re-gulatory gene that encodes a protein that regulates the activity of chloride and sodium channels in the cell surface epithelium.NS is crucial for early diagnosis and management,which ensures a better quality of life.AIM To report a case of the coexistence of sickle cell anemia(SCA)and CF and perform an integrative literature review.METHODS This is an observational study and a review of the literature focusing on two rare genetic pathologies identified simultaneously in NS from the perspective of a clinical case.The authors identified only 5 cases of SCA associated with CF.No clinical trials or review articles were identified considering the rarity of the coexistence of these two pathologies.RESULTS Herein,the authors reported the case of a girl who after undergoing NS on day 8 of life was diagnosed with SCA with an alteration in the dosage of immunoreactive trypsin.The diagnosis of CF was confirmed by the Coulometry Sweat Test.The rarity of the co-occurrence of these two severe genetic pathologies(CF and SCA)is a challenge for medical science.CONCLUSION This study adds to the few case reports present in the literature that highlight the identification of two severe diseases via NS.
文摘BACKGROUND The Asia-Pacific Colorectal Screening(APCS)score was designed with the purpose of distinguishing individuals at high risk(HR)for colorectal advanced neoplasia(AN).Traditional Chinese medicine(TCM)constitution was also linked with colorectal cancer(CRC).AIM To integrate the APCS score with TCM constitution identification as a new algorithm to screen for CRC.METHODS A cross-sectional multicenter study was carried out in three hospitals,enrolling 1430 patients who were asymptomatic and undergoing screening colonoscopy from 2022 to 2023.Patients were considered to have average risk,moderate risk,or HR with their APCS score.Odd ratios assessed the relationship between TCM constitution and disease progression.A TCM constitution risk score was created.The sensitivity and specificity of the new algorithm were calculated to evaluate diagnostic performance in detecting advanced adenoma(AA),CRC,and AN.RESULTS Of the 1430 patients,370(25.9%)were categorized as average risk,755(52.8%)as moderate risk,and 305(21.3%)as HR.Using the combined APCS score and the TCM constitution(damp-heat,qi-deficiency,yang-deficiency,phlegm-dampness,and inherited special constitution as positive)algorithm,72.2%of patients with AA and 73.7%of patients with AN were detected.Compared with the APCS score alone,the new algorithm significantly improved the sensitivity for screening AA[72.2%,95%confidence interval(CI):64.4%-80.0%vs 49.2%,95%CI:40.5%-57.9%]and AN(73.7%,95%CI:66.4%-81.1%vs 51.1%,95%CI:42.7%-59.5%).CONCLUSION The combination of APCS and TCM constitution identification questionnaires was valuable in identifying Chinese individuals who were asymptomatic for colorectal screening prioritization.
文摘Cancer screening is a strategy focused on highrisk populations rather than universal populationwide screening, based on a comprehensive evaluation of epidemiological principles and practical feasibility. The effectiveness of screening depends on factors such as disease prevalence, as well as the sensitivity and specificity of the screening technology employed.
基金the staff of the BL18U/BL19U1 Beamline of the National Facility for Protein Science,Shanghai,at the Shanghai Synchrotron Radiation Facility for assistance during data collectionthe National Key Research and Development Program of China(Grant No.2023YFD1700500,2022YFD1700200)the Project of Natural Science Foundation of Liaoning Province(2022-KF-15-02).
文摘Trehalase hydrolyzes trehalose to glucose to provide energy for insects or building blocks for chitin synthesis.Because trehalase is critical to insects but not to humans,it has long been considered a promising target for green insecticides.However,the known trehalase inhibitors are mainly sugar derivatives with poor druggability.In this study,the trehalase from Ostrinia furnacalis(OfTreh)was expressed and characterized.By integrative computational strategies,diphenyl ether herbicides were discovered as the first non-carbohydrate inhibitors of insect trehalases.Bifenox and its more stable derivative,chlomethoxyfen,inhibited Of Treh with Ki values of 56 and 43μM,respectively.The oral administration of bifenox or chlomethoxyfen to locusts resulted in the inhibition of trehalose hydrolysis in vivo,leading to a mortality rate of 66%and server locomotion disorder in the survivors.This study not only established a platform for the development of insecticides targeting trehalase but also discovered a new mechanism for diphenyl ethers to kill insects as trehalase inhibitors.
文摘Target-based and phenotype-based methods are the two main approaches for drug screening.Target-based drug screening focuses on specific targets CPA highly correlated with disease mechanisms,by detecting protein-ligand binding structure,dynamics and affinity.Currently,the four mainstream drug targets are G protein-coupled receptors(GPCRs),kinases,ion channels,and nuclear receptors,accounting for over 70%of effective drug targets,most of which are membrane proteins and enzymes.In recent years,various new drug targets have been continuously discovered,and the research focus has shifted from simple affinity analysis to high-throughput and high-content screening,as well as exploring drug-target interaction modes.These deepen reliance on the analytical techniques to have higher sensitivity,recognition specificity,and applicability to diversified target structures,which promoting the rapid development of novel screening methods.
基金supported by the National Natural Science Foundation of China(grant number 82404340)the Fundamental Research Funds for the Central Universities,Peking Union Medical College(grant number 3332024216).
文摘Objective To examine the effect of excess body weight on adherence and lesion detection in colorectal cancer(CRC)screening.Methods A cross-sectional analysis was conducted within an opportunistic CRC screening program in Chongqing,which enrolled 43,797 adults aged 35–74 years between 2021 and 2022.A total of 42,279 participants were included in the final analysis,of whom 19,462(46.0%)had excess body weight(BMI>24.0 kg/m2).Colonoscopy adherence and detection were compared between normal and excess body weight group,and associated factors were examined.Results Of the 7,002 participants recommended for colonoscopy,3,808(54.4%)had excess body weight.Adherence was significantly lower in the excess weight group(6.6%)than in the normal weight group(10.7%,P<0.001),and this trend was consistent across sex and age groups.The detection rates of advanced neoplasms(3.6%vs.1.8%)and non-advanced adenomas(10.7%vs.6.7%)were higher in the excess weight cohort,with a significant difference for any neoplasm(14.2%vs.8.9%,P<0.05).Differences in adherence-and detection-related factors were also observed between the groups.Conclusion Excess body weight was associated with lower colonoscopy adherence but higher neoplasm detection.These findings support the integration of weight management with targeted screening promotion to improve CRC prevention in this high-risk population.
基金supported by the National Natural Science Foundation of China(No.32371475)the Natural Science Foundation of Jiangsu Province,Major Project(No.BK20222008).
文摘Multiorgan-on-a-chip(MOoC)systems are advanced microfluidic devices that integrate multiple organ models into a single modular unit,each composed of cells derived from various tissues or organs.These systems enable interorgan communication and accurately replicate physiological conditions,providing a more physiologically relevant modeling framework for constructing disease models and predicting drug efficacy and toxicity.MOoC systems also provide significant advantages in terms of flexibility,cost-effectiveness,and reproducibility,making them valuable tools for drug development and toxicity assessment.In this review,we first provide an overview of the MOoC technology,covering cell sources,stimulations,materials and fabrication techniques,and biosensors.We then examine the application of MOoC systems in disease modeling,focusing on cancer metastasis,metabolic disorders,and cardiovascular disease.We next discuss the use of MOoC systems in drug toxicity evaluation and drug screening,emphasizing their role in providing comprehensive assessments of drug effects.Finally,we address the challenges it faces and the future perspectives of the MOoC technology.
文摘Human papillomavirus(HPV)infection is a common sexually transmitted disease and a leading cause of cervical,other anogenital,and oropharyngeal cancers.Screening for precancerous lesions is an effective strategy for preventing HPVrelated tumors.Although HPV vaccination has significantly reduced the incidence of cervical cancer,achieving universal coverage remains challenging because of cost barriers,particularly in economically disadvantaged regions.This review provides an update of HPV infection characteristics,screening methods,and strategies tailored to low-resource settings.We also discuss the global burden of HPV-related diseases,regional disparities in the implementation of screening,and future research directions.By examining the current challenges and opportunities,this review aims to inform policymakers and healthcare providers in designing effective,affordable,and scalable screening programs.
基金supported by the Tencent Charity Foundationthe Ningxia Hui Autonomous Region Key Research and Development Program(No.2021BEG 02025)+1 种基金the Flexible Introduction of Technological Innovation Teams of Ningxia Hui Autonomous Region(No.2021RXTDLX15)the Natural Science Foundation of China(No.82160644)。
文摘Objective:A risk-based sequential screening strategy,from questionnaire-based assessment to biomarker measurement and then to endoscopic examination,has the potential to enhance gastric cancer(GC)screening efficiency.We aimed to evaluate the ability of five common stomach-specific serum biomarkers to further enrich high-risk individuals for GC in the questionnaire-identified high-risk population.Methods:This study was conducted based on a risk-based screening program in Ningxia Hui Autonomous Region,China.We first performed questionnaire assessment involving 23,381 individuals(7,042 outpatients and 16,339 individuals from the community),and those assessed as“high-risk”were then invited to participate in serological assays and endoscopic examinations.The serological biomarker model was derived based on logistic regression,with predictors selected via the Akaike information criterion.Model performance was evaluated by the area under the receiver operating characteristic curve(AUC).Results:A total of 2,011 participants were ultimately included for analysis.The final serological biomarker model had three predictors,comprising pepsinogenⅠ(PGI),pepsinogenⅠ/Ⅱratio(PGR),and anti-Helicobacter pylori immunoglobulin G(anti-H.pylori IgG)antibodies.This model generated an AUC of 0.733(95%confidence interval:0.655-0.812)and demonstrated the best discriminative ability compared with previously developed serological biomarker models.As the risk cut-off value of our model rose,the detection rate increased and the number of endoscopies needed to detect one case decreased.Conclusions:PGI,PGR,and anti-H.pylori Ig G could be jointly used to further enrich high-risk individuals for GC among those selected by questionnaire assessment,providing insight for the development of a multi-stage riskbased sequential strategy for GC screening.
