Nasopharyngeal carcinoma(NPC)is a malignant tumor prevalent in southern China and Southeast Asia,where its early detection is crucial for improving patient prognosis and reducing mortality rates.However,existing scree...Nasopharyngeal carcinoma(NPC)is a malignant tumor prevalent in southern China and Southeast Asia,where its early detection is crucial for improving patient prognosis and reducing mortality rates.However,existing screening methods suffer from limitations in accuracy and accessibility,hindering their application in large-scale population screening.In this work,a surface-enhanced Raman spectroscopy(SERS)-based method was established to explore the profiles of different stratified components in saliva from NPC and healthy subjects after fractionation processing.The study findings indicate that all fractionated samples exhibit diseaseassociated molecular signaling differences,where small-molecule(molecular weight cut-offvalue is 10 kDa)demonstrating superior classification capabilities with sensitivity of 90.5%and speci-ficity of 75.6%,area under receiver operating characteristic(ROC)curve of 0:925±0:031.The primary objective of this study was to qualitatively explore patterns in saliva composition across groups.The proposed SERS detection strategy for fractionated saliva offers novel insights for enhancing the sensitivity and reliability of noninvasive NPC screening,laying the foundation for translational application in large-scale clinical settings.展开更多
Insects represent emerging sources of bioactive peptides and functional materials.Mantidis Oötheca(Sang-Piao-Xiao in Chinese,SPX)serves as an insect-derived medicine for treating kidney disease.This study demonst...Insects represent emerging sources of bioactive peptides and functional materials.Mantidis Oötheca(Sang-Piao-Xiao in Chinese,SPX)serves as an insect-derived medicine for treating kidney disease.This study demonstrated that supernatant(SPX)improved kidney function in adriamycin(ADR)-induced nephropathy mice model.Transcriptomic analysis revealed that SPX inhibited complement activation by targeting the MASP1-C3/C3a receptor(C3aR)pathway.Peptidomic analysis identified 304 peptides from SPX,with 49 peptides selected for evaluation using prediction tools and molecular docking with complement core protein C3.Three peptides(PMGFPFDR,FNDPK,AAQFFNR)exhibiting docking scores below-8.0 were synthesized to verify complement inhibition and anti-fibrotic activities.The synthetic peptide AAQFFNR demonstrated complement inhibitory activity,with an inhibitory complement hemolytic 50%(ICH_(50))value of 24.54μmol·L^(-1),and exhibited superior protective effects in ADR-induced HK-2 cells.Surface plasmon resonance(SPR)assay revealed direct interaction between AAQFFNR and complement C3 with K_(d)value of 16.8μmol·L^(-1).The reno-protective effect of AAQFFNR was subsequently verified in ADR-induced mice.This research provides initial evidence that complement C3-inhibiting peptides from insects demonstrate potential in preventing nephropathy through in silico and in vivo validation approaches.展开更多
Diabetic retinopathy(DR)is a leading cause of vision loss among working-age populations,with early screening significantly reducing the risk of blindness.However,resource-limited regions often face challenges in DR sc...Diabetic retinopathy(DR)is a leading cause of vision loss among working-age populations,with early screening significantly reducing the risk of blindness.However,resource-limited regions often face challenges in DR screening due to a shortage of ophthalmologists.This study reports the implementation and outcomes of the Chinese local standard DB52/T 1726-2023,Regulations for the application of diabetic retinopathy screening artificial intelligence,in Cambodian healthcare institutions.A pilot DR screening program with independent operational capability is established by providing a non-mydriatic fundus camera and deploying a localized diabetic retinopathy artificial intelligence(DR-AI)screening platform at the Cambodia-Kingdom Friendship Hospital in Phnom Penh,along with comprehensive training.From January to August 2025,a total of 565 patients with type 2 diabetes were screened,yielding a DR detection rate of 26.0%(147 cases).Research findings demonstrate that applying mature Chinese DR-AI screening standards and technological solutions through international collaboration in regions with a scarcity of ophthalmic professionals is both feasible and effective.This project serves as a reference for promoting DR-AI in resource-constrained countries and regions,highlighting its significant potential to leverage AI in addressing the global burden of chronic diseases and advancing the modernization of health systems.展开更多
目的对比人工智能宫颈癌实时筛查技术(TruScreen)联合高危人乳头瘤病毒(high-risk human papillomavirus,hr-HPV)检测与液基薄层细胞学检测(Thinprep cytologic test,TCT)联合hr-HPV在宫颈癌筛查中的临床价值。方法研究对象为2020年6月...目的对比人工智能宫颈癌实时筛查技术(TruScreen)联合高危人乳头瘤病毒(high-risk human papillomavirus,hr-HPV)检测与液基薄层细胞学检测(Thinprep cytologic test,TCT)联合hr-HPV在宫颈癌筛查中的临床价值。方法研究对象为2020年6月–2023年12月期间在攀枝花市中心医院接受宫颈癌筛查的297例女性,筛查项目包括HPV检测、TCT检测以及TruScreen检测。以病理结果为标准,评估TruScreen联合hr-HPV与TCT联合hr-HPV对宫颈低度鳞状上皮内病变(low-grade squamous intraepithelial lesion positive,LSIL^(+))及高度鳞状上皮内病变(high-grade squamous intraepithelial lesion positive,HSIL^(+))的诊断效果。结果在297例受试者中,病理确诊LSIL^(+)128例(43.10%),HSIL^(+)67例(22.56%)。HPV16/18阳性110例(37.04%),TCT检测≥未明确诊断意义的非典型鳞状细胞(atypical squamous cells of undetermined significance,ASC-US)177例(59.60%),176例(59.26%)TruScreen检测异常;TruScreen联合hr-HPV诊断LSIL^(+)及HSIL^(+)宫颈病变的曲线下面积(area under the curve,AUC)高于TCT联合hr-HPV(P<0.05)。结论TruScreen联合hr-HPV在宫颈癌筛查中的效果优于TCT联合hr-HPV,可作为传统细胞学检查的潜在替代方案,具有较高的临床应用价值。展开更多
<strong>Purpose:</strong> <span><span><span style="font-family:""><span style="font-family:Verdana;">The purpose of this study was to determine HIV prevalen...<strong>Purpose:</strong> <span><span><span style="font-family:""><span style="font-family:Verdana;">The purpose of this study was to determine HIV prevalence among participants admitted to the delivery room and recent birth attendants. </span><b><span style="font-family:Verdana;">Materials and </span></b></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><b><span style="font-family:Verdana;">M</span></b></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><b><span style="font-family:Verdana;">ethods: </span></b></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">This was a descriptive, cross-sectional, analytical study, with a prospective collection from February 1, 2018 to January 31, 2019 at fousseyni Daou Hospital in Kayes, Mali. </span><b><span style="font-family:Verdana;">Results: </span></b></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">D</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">uring our study period</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> we </span><span style="font-family:Verdana;">recorded 4269 deliveries. HIV-positive patients known before labour ac</span><span style="font-family:Verdana;">counted for 0.21%. Four hundred and six participants received counselling/testing in the delivery room;of which 36 refused the test: 8.87% and 370 accepted or 91.13%. Thirteen patients tested positive or 3.51%. The 20</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">35 age group was the most represented at 76.92%. Positive patients tested received ARV treatment in the delivery room in 92.31% of cases;and 1 patient or 7.69% did not receive treatment for refusal. Vaginal delivery was the most common at 77%, </span><span style="font-family:Verdana;">with caesarean section 23%. Newborns had a good prognosis in their first </span><span style="font-family:Verdana;">weeks of life in 85%;fetal lethality was observed in 15% of newborns including 1 case of fresh stillbirth and 1 case of pediatric deaths for neonatal suffering. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Counselling and voluntary HIV/AIDS testing during labour </span><span style="font-family:Verdana;">and immediate postpartum can detect many pregnant women who escape</span><span style="font-family:Verdana;"> screening during antenatal consultations.</span></span></span></span>展开更多
Current biodegradation timelines show that polyesters take over 200 years to break down. A crucial component of several industries, polyesters are relied upon for materials development and thus require sustainable alt...Current biodegradation timelines show that polyesters take over 200 years to break down. A crucial component of several industries, polyesters are relied upon for materials development and thus require sustainable alternatives. Recent works in generative modeling have made it possible to produce large sets of chemical structures, but current molecular screening methods are expensive, not scalable, and are oversimplified. This work evaluates whether a molecule’s biodegradability potential can be accurately predicted by training a model on recent experimental data. Additionally, three chemical descriptors were evaluated on the final molecules for their effects on biodegradability: molecular structure, bond types, and solubility. A Gradient Boosted Machine was trained on a dataset of 600 molecules and their binary labels on biodegradability. The classification model effectively captured the biodegradability property, yielding an Area Under the Receiver Operating Characteristics, AUROC, of 84% and an Area Under the Precision Recall Curve, or AUPRC, of 87%. Additionally, an existing amortized synthetic tree generation model, SynNet, validated each molecule by showing chemical synthesizability and producing simple and interpretable synthesis pathways. This approach of filtering by prediction and chemical rule interpretation is inexpensive, highly scalable and can capture the necessary complexity. Using this method, novel polyester candidates can be polymerized and produced into sustainable fabrics, reducing environmental stress from textile-reliant industries.展开更多
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
This study discusses the impact of the increasing use of colonoscopy on the trends of colorectal cancer(CRC)in Korea.Different views are raised on the research methods and conclusions of Kim et al.It emphasizes the ne...This study discusses the impact of the increasing use of colonoscopy on the trends of colorectal cancer(CRC)in Korea.Different views are raised on the research methods and conclusions of Kim et al.It emphasizes the need to carefully consider the balance between the benefits of early detection and the risks of over-screening.This letter also suggests directions for future research and policy considerations in the field of CRC screening and prevention in Korea.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
基金financially supported by National Natural Science Foundation ofChina(No.12374405)Provincial Science Foundation for Distinguished Young Scholars of Fujian(No.2024J010024)+1 种基金Natural Science Foundation of Fujian Province of China(No.2023J011267)Major Research Projects for Young and Middle-aged Researchers of Fujian Provincial Health Commission(No.2021ZQNZD010).
文摘Nasopharyngeal carcinoma(NPC)is a malignant tumor prevalent in southern China and Southeast Asia,where its early detection is crucial for improving patient prognosis and reducing mortality rates.However,existing screening methods suffer from limitations in accuracy and accessibility,hindering their application in large-scale population screening.In this work,a surface-enhanced Raman spectroscopy(SERS)-based method was established to explore the profiles of different stratified components in saliva from NPC and healthy subjects after fractionation processing.The study findings indicate that all fractionated samples exhibit diseaseassociated molecular signaling differences,where small-molecule(molecular weight cut-offvalue is 10 kDa)demonstrating superior classification capabilities with sensitivity of 90.5%and speci-ficity of 75.6%,area under receiver operating characteristic(ROC)curve of 0:925±0:031.The primary objective of this study was to qualitatively explore patterns in saliva composition across groups.The proposed SERS detection strategy for fractionated saliva offers novel insights for enhancing the sensitivity and reliability of noninvasive NPC screening,laying the foundation for translational application in large-scale clinical settings.
基金supported by the National Natural Science Foundation of China(No.82104353)China Postdoctoral Science Foundation funded project(No.2022M711680).
文摘Insects represent emerging sources of bioactive peptides and functional materials.Mantidis Oötheca(Sang-Piao-Xiao in Chinese,SPX)serves as an insect-derived medicine for treating kidney disease.This study demonstrated that supernatant(SPX)improved kidney function in adriamycin(ADR)-induced nephropathy mice model.Transcriptomic analysis revealed that SPX inhibited complement activation by targeting the MASP1-C3/C3a receptor(C3aR)pathway.Peptidomic analysis identified 304 peptides from SPX,with 49 peptides selected for evaluation using prediction tools and molecular docking with complement core protein C3.Three peptides(PMGFPFDR,FNDPK,AAQFFNR)exhibiting docking scores below-8.0 were synthesized to verify complement inhibition and anti-fibrotic activities.The synthetic peptide AAQFFNR demonstrated complement inhibitory activity,with an inhibitory complement hemolytic 50%(ICH_(50))value of 24.54μmol·L^(-1),and exhibited superior protective effects in ADR-induced HK-2 cells.Surface plasmon resonance(SPR)assay revealed direct interaction between AAQFFNR and complement C3 with K_(d)value of 16.8μmol·L^(-1).The reno-protective effect of AAQFFNR was subsequently verified in ADR-induced mice.This research provides initial evidence that complement C3-inhibiting peptides from insects demonstrate potential in preventing nephropathy through in silico and in vivo validation approaches.
基金funded by the Chronic Disease Management Research Project of National Health Commission Capacity Building and Continuing Education Center 2025(GWJJMB202510024146)the Post-Subsidy Project for Standard Development of Guizhou Provincial Market Supervision and Administration Bureau 2025(DB52/T1726-2023)the Guizhou Provincial Health Commission Science and Technology Fund Project(gzwkj2024-076,gzwkj2026-146).
文摘Diabetic retinopathy(DR)is a leading cause of vision loss among working-age populations,with early screening significantly reducing the risk of blindness.However,resource-limited regions often face challenges in DR screening due to a shortage of ophthalmologists.This study reports the implementation and outcomes of the Chinese local standard DB52/T 1726-2023,Regulations for the application of diabetic retinopathy screening artificial intelligence,in Cambodian healthcare institutions.A pilot DR screening program with independent operational capability is established by providing a non-mydriatic fundus camera and deploying a localized diabetic retinopathy artificial intelligence(DR-AI)screening platform at the Cambodia-Kingdom Friendship Hospital in Phnom Penh,along with comprehensive training.From January to August 2025,a total of 565 patients with type 2 diabetes were screened,yielding a DR detection rate of 26.0%(147 cases).Research findings demonstrate that applying mature Chinese DR-AI screening standards and technological solutions through international collaboration in regions with a scarcity of ophthalmic professionals is both feasible and effective.This project serves as a reference for promoting DR-AI in resource-constrained countries and regions,highlighting its significant potential to leverage AI in addressing the global burden of chronic diseases and advancing the modernization of health systems.
文摘<strong>Purpose:</strong> <span><span><span style="font-family:""><span style="font-family:Verdana;">The purpose of this study was to determine HIV prevalence among participants admitted to the delivery room and recent birth attendants. </span><b><span style="font-family:Verdana;">Materials and </span></b></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><b><span style="font-family:Verdana;">M</span></b></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><b><span style="font-family:Verdana;">ethods: </span></b></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">This was a descriptive, cross-sectional, analytical study, with a prospective collection from February 1, 2018 to January 31, 2019 at fousseyni Daou Hospital in Kayes, Mali. </span><b><span style="font-family:Verdana;">Results: </span></b></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">D</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">uring our study period</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> we </span><span style="font-family:Verdana;">recorded 4269 deliveries. HIV-positive patients known before labour ac</span><span style="font-family:Verdana;">counted for 0.21%. Four hundred and six participants received counselling/testing in the delivery room;of which 36 refused the test: 8.87% and 370 accepted or 91.13%. Thirteen patients tested positive or 3.51%. The 20</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">35 age group was the most represented at 76.92%. Positive patients tested received ARV treatment in the delivery room in 92.31% of cases;and 1 patient or 7.69% did not receive treatment for refusal. Vaginal delivery was the most common at 77%, </span><span style="font-family:Verdana;">with caesarean section 23%. Newborns had a good prognosis in their first </span><span style="font-family:Verdana;">weeks of life in 85%;fetal lethality was observed in 15% of newborns including 1 case of fresh stillbirth and 1 case of pediatric deaths for neonatal suffering. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Counselling and voluntary HIV/AIDS testing during labour </span><span style="font-family:Verdana;">and immediate postpartum can detect many pregnant women who escape</span><span style="font-family:Verdana;"> screening during antenatal consultations.</span></span></span></span>
文摘Current biodegradation timelines show that polyesters take over 200 years to break down. A crucial component of several industries, polyesters are relied upon for materials development and thus require sustainable alternatives. Recent works in generative modeling have made it possible to produce large sets of chemical structures, but current molecular screening methods are expensive, not scalable, and are oversimplified. This work evaluates whether a molecule’s biodegradability potential can be accurately predicted by training a model on recent experimental data. Additionally, three chemical descriptors were evaluated on the final molecules for their effects on biodegradability: molecular structure, bond types, and solubility. A Gradient Boosted Machine was trained on a dataset of 600 molecules and their binary labels on biodegradability. The classification model effectively captured the biodegradability property, yielding an Area Under the Receiver Operating Characteristics, AUROC, of 84% and an Area Under the Precision Recall Curve, or AUPRC, of 87%. Additionally, an existing amortized synthetic tree generation model, SynNet, validated each molecule by showing chemical synthesizability and producing simple and interpretable synthesis pathways. This approach of filtering by prediction and chemical rule interpretation is inexpensive, highly scalable and can capture the necessary complexity. Using this method, novel polyester candidates can be polymerized and produced into sustainable fabrics, reducing environmental stress from textile-reliant industries.
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.
文摘This study discusses the impact of the increasing use of colonoscopy on the trends of colorectal cancer(CRC)in Korea.Different views are raised on the research methods and conclusions of Kim et al.It emphasizes the need to carefully consider the balance between the benefits of early detection and the risks of over-screening.This letter also suggests directions for future research and policy considerations in the field of CRC screening and prevention in Korea.
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.
