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Who should be screened for colorectal cancer and how can it be prevented more effectively?

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World Journal of Gastrointestinal Oncology 2024年第9期16卷 3741-3746页

作者： You-Xiang Wang Kai-juan Wang College of Public Health Zhengzhou UniversityZhengzhou 450001Henan ProvinceChina College of Public Health Key Laboratory of Tumor Epidemiology of Henan ProvinceState Key Laboratory of Esophageal Cancer Prevention&TreatmentZhengzhou UniversityZhengzhou 450001Henan ProvinceChina

In this editorial,we comment on the article published by Agatsuma et al in a recent issue of the World J Gastroenterol(2024;30:1368-1376).We firmly concur with Agatsuma et al regarding the vital significance of colorectal cancer(CRC)screening as a public health strategy to diminish disease *** exposed to risk factors for CRC,those with comorbid conditions,and those with limited health literacy should undergo ***,we believe that more regular screenings should be accompanied by a greater focus on primary prevention(PP)of *** remains a significant global health challenge,and its incidence is strongly linked to age,lifestyle,and socioeconomic *** is particularly noteworthy that the majority of CRC patients are diagnosed outside of established screening pathways and frequently at an advanced stage of the disease,and the majority of patients possess inadequate or even nonexistent knowledge regarding CRC,which significantly impacts the prognosis and imposes a substantial economic *** study revealed that CRC identified during hospital visits for comorbid conditions was typically diagnosed at an earlier stage than detected via symptomatic ***,early incidental detection of CRC aligns closely with the timing of discovery through routine cancer *** suggests that by adopting more inclusive screening protocols that combine opportunistic testing with traditional screening methods,health care systems can create a more comprehensive safety net for individuals at risk of ***,before maximizing the health benefits of screening programs,it is essential to make additional efforts prior to screening,such as raising awareness via public education,risk assessment,and personalized recommendations,enhancing the knowledge and skills of health care professionals,optimizing the accessibility and convenience of screening processes,ensuring the quality and safety of screening services,strengthening follow-up and su

关键词： Colorectal cancer Primary prevention Screening program Disease burden Health literacy Economic benefits

Machine learning and bioinformatics to identify biomarkers in response to Burkholderia pseudomallei infection in mice

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BIOCELL 2024年第4期48卷 613-621页

作者： YAO FANG FEI XIA FEIFEI TIAN L EI QU FANG yang juan FANG ZHENHONG HU HAICHAO LIU Department of Respiratory and Critical Care Medicine General Hospital of Center Theater of PLAWuhan430070China School of Medicine Wuhan University of Science and TechnologyWuhan430065China School of Life Science and Engineering Southwest Jiaotong UniversityChengdu611756China

Objective:In the realm of Class I pathogens,Burkholderia pseudomallei(BP)stands out for its propensity to induce severe *** the intricate interactions between BP and host cells is imperative for comprehending the dynamics of BP infection and discerning biomarkers indicative of the host cell response ***:mRNA extraction from BP-infected mouse macrophages constituted the initial step of our *** gene expression arrays,the extracted RNA underwent conversion into digital *** percentile shift method facilitated data processing,with the identiﬁcation of genes manifesting signiﬁcant differences accomplished through the application of the ***,a comprehensive analysis involving Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway was conducted on the differentially expressed genes(DEGs).Leveraging the ESTIMATE algorithm,gene signatures were utilized to compute risk scores for gene expression *** vector machine analysis and gene enrichment scores were instrumental in establishing correlations between biomarkers and macrophages,followed by an evaluation of the predictive power of the identiﬁed ***:The functional and pathway associations of the DEGs predominantly centered around G protein-coupled receptors.A noteworthy positive correlation emerged between the blue module,consisting of 416 genes,and the ***4,identiﬁed through support vector machine analysis among intersecting genes,indicated a robust interaction with macrophages,suggesting its potential as a robust ***4 exhibited commendable predictive efﬁcacy,with BP infection inducing its expression in both macrophages and mouse lung *** blotting in macrophages conﬁrmed a signiﬁcant upregulation of FZD4 expression from 0.5 to 24 h *** mouse lung tissue,FZD4 manifested higher expression in the cytoplasm of pulmonary epithelial cells in BP-infected lungs than in the

关键词： Burkholderia pseudomallei Microarray assay Machine learning Bioinformatics FZD4

Intelligent diagnosis of retinal vein occlusion based on color fundus photographs

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International Journal of Ophthalmology(English edition) 2024年第1期17卷 1-6页

作者： Yu-Ke Ji Rong-Rong Hua Sha Liu Cui-juan Xie Shao-Chong Zhang Wei-Hua yang Eye Hospital Nanjing Medical UniversityNanjing 210000Jiangsu ProvinceChina College of Electronic Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210000Jiangsu ProvinceChina Shenzhen Eye Institute Shenzhen Eye HospitalJinan UniversityShenzhen 518000Guangdong ProvinceChina

AIM:To develop an artificial intelligence(AI)diagnosis model based on deep learning(DL)algorithm to diagnose different types of retinal vein occlusion(RVO)by recognizing color fundus photographs(CFPs).METHODS:Totally 914 CFPs of healthy people and patients with RVO were collected as experimental data sets,and used to train,verify and test the diagnostic model of *** the images were divided into four categories[normal,central retinal vein occlusion(CRVO),branch retinal vein occlusion(BRVO),and macular retinal vein occlusion(MRVO)]by three fundus disease *** Transformer was used to build the RVO diagnosis model,and different types of RVO diagnosis experiments were *** model’s performance was compared to that of the ***:The accuracy of the model in the diagnosis of normal,CRVO,BRVO,and MRVO reached 1.000,0.978,0.957,and 0.978;the specificity reached 1.000,0.986,0.982,and 0.976;the sensitivity reached 1.000,0.955,0.917,and 1.000;the F1-Sore reached 1.000,0.9550.943,and 0.887 *** addition,the area under curve of normal,CRVO,BRVO,and MRVO diagnosed by the diagnostic model were 1.000,0.900,0.959 and 0.970,*** diagnostic results were highly consistent with those of fundus disease experts,and the diagnostic performance was ***:The diagnostic model developed in this study can well diagnose different types of RVO,effectively relieve the work pressure of clinicians,and provide help for the follow-up clinical diagnosis and treatment of RVO patients.

关键词： deep learning artificial intelligence Swin Transformer diagnostic model retinal vein occlusion color fundus photographs

Guest Editorial:Knowledge‐based deep learning system in bio‐medicine

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 787-789页

作者： Yu‐Dong Zhang juan Manuel Górriz University of Leicester LeicesterUK University of Granada GranadaSpain

Numerous healthcare procedures can be viewed as medical sector *** the modern era,computers have become indispensable in the realm of medical decision‐***-ever,the common view of computers in the medical field typically extends only to applications that support doctors in diagnosing *** more tightly intertwine computers with the biomedical sciences,professionals are now more frequently utilising knowledge‐driven deep learning systems(KDLS)and their foundational technologies,especially in the domain of neuroimaging(NI).

关键词： learning computer doctor

Postpartum depression and partner support during the period of lactation:Correlation research and its influencing factors

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World Journal of Psychiatry 2024年第1期14卷 119-127页

作者： Ji-Ming Ruan Ling-juan Wu Department of Obstetrics and Gynecology Huzhou Maternity and Child Health Care HospitalHuzhou 313000Zhejiang ProvinceChina

BACKGROUND Postpartum depression(PPD)not only affects the psychological and physiological aspects of maternal health but can also affect neonatal growth and *** who are in close contact with parturient women play a key role in communication and emotional *** study explores the PPD support relationship with partners and its influencing factors,which is believed to establish psychological well-being and improve maternal partner *** To explore the correlation between PPD and partner support during breastfeeding and its influencing *** Convenience sampling was used to select lactating women(200 women)who underwent postpartum examinations at the Huzhou Maternity and Child Health Care Hospital from July 2022 to December 2022.A cross-sectional survey was conducted on the basic information(general information questionnaire),depression level[edinburgh postnatal depression scale(EPDS)],and partner support score[dyadic coping inventory(DCI)]of the selected ***’s correlation analysis was used to analyze the correlation between PPD and DCI in lactating *** affecting PPD levels during lactation were analyzed using multiple linear *** The total average score of EPDS in 200 lactating women was(9.52±1.53),and the total average score of DCI was(115.78±14.90).Dividing the EPDS,the dimension scores were:emotional loss(1.91±0.52),anxiety(3.84±1.05),and depression(3.76±0.96).Each dimension of the DCI was subdivided into:Pressure communication(26.79±6.71),mutual support(39.76±9.63),negative support(24.97±6.68),agent support(6.87±1.92),and joint support(17.39±4.19).Pearson’s correlation analysis demonstrated that the total mean score and individual dimension scores of EPDS during breastfeeding were inversely correlated with the total score of partner support,stress communication,mutual support,and cosupport(P<0.05).The total mean score of the EPDS and its dimensions were positively correlated with negative

关键词： Lactation period Puerpera Postpartum depression Partner support Correlation

Novel insights into D-Pinitol based therapies:a link between tau hyperphosphorylation and insulin resistance

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Neural Regeneration Research 2024年第2期19卷 289-295页

作者： Dina Medina-Vera Antonio Jesús López-Gambero juan Antonio Navarro Carlos Sanjuan Elena Baixeras juan Decara Fernando Rodríguez de Fonseca Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND UGC Salud MentalMálagaSpain Facultad de Ciencias Universidad de MálagaMálagaSpain CIBER Enfermedades Cardiovasculares(CIBERCV) Hospital Universitario Virgen de la VictoriaUGC del CorazónMálagaSpain University of Bordeaux INSERMNeurocentre MagendieBordeauxFrance Euronutra S.L.Calle Johannes Kepler MálagaSpain Departamento de Bioquímica y Biología Molecular Facultad de MedicinaUniversidad de MálagaMálagaSpain

Alzheimer’s disease is a neurodegenerative disorder characterized by the amyloid accumulation in the brains of patients with Alzheimer’s *** pathogenesis of Alzheimer’s disease is mainly mediated by the phosphorylation and aggregation of tau *** the multiple causes of tau hyperphosphorylation,brain insulin resistance has generated much attention,and inositols as insulin sensitizers,are currently considered candidates for drug *** present narrative review revises the interactions between these three elements:Alzheimer’s disease-tau-inositols,which can eventually identify targets for new disease modifiers capable of bringing hope to the millions of people affected by this devastating disease.

关键词： Alzheimer’s disease cyclin-dependent kinase 5 diabetes D-Pinitol inositols insulin resistance kinases phosphorylation PI3K/Akt tau

Deep learning for broadleaf weed seedlings classification incorporating data variability and model flexibility across two contrasting environments

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Artificial Intelligence in Agriculture 2024年第2期12卷 29-43页

作者： Lorenzo León Cristóbal Campos juan Hirzel Instituto de Investigaciones Agropecuarias(INIA) INIA QuilamapuAvda.Vicente Méndez 515ChillánChile Fundacion ObservatorioÑuble Arauco 340ChillanChile

The increasing deployment of deep learning models for distinguishing weeds and crops has witnessed notable strides in agricultural ***,a conspicuous gap endures in the literature concerning the training and testing of models across disparate environmental *** methodologies either delineate a single dataset distribution into training,validation,and testing subsets or merge datasets from diverse condi-tions or distributions before their division into the *** study aims to ameliorate this gap by extending to several broadleaf weed categories across varied distributions,evaluating the impact of training convolutional neural networks on datasets specific to particular conditions or distributions,and assessing their performance in entirely distinct settings through three *** evaluating diverse network architectures and training approaches(finetuning versus feature extraction),testing various architectures,employing different training strategies,and amalgamating data,we devised straightforward guidelines to ensure the model's deployability in contrasting environments with sustained precision and *** Experiment 1,conducted in a uniform environment,accuracy ranged from 80%to 100%across all models and training strategies,with finetune mode achieving a superior performance of 94%to 99.9%compared to the feature extraction mode at 80%to 92.96%.Experiment 2 underscored a significant performance decline,with accuracy fig-ures between 25%and 60%,primarily at 40%,when the origin of the test data deviated from the train and valida-tion *** 3,spotlighting dataset and distribution amalgamation,yielded promising accuracy metrics,notably a peak of 99.6%for ResNet in finetuning mode to a low of 69.9%for InceptionV3 in feature extraction *** pivotal findings emphasize that merging data from diverse distributions,coupled with finetuned training on advanced architectures like ResNet and MobileNet,markedly enhances

关键词： Artificial neural networks Deep learning Transfer learning Precision farming Feature extraction Finetuning Generalization Out-of-domain distribution Domain adaptation Multi-domain learning

Identi?cation and Analysis of the Intermediates from Photodegradation of 3,3′-diamino-4,4′-azoxyfurazan (DAAF)by SERS and HPLC–MS/MS

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Journal of Analysis and Testing 2024年第3期8卷 351-360页

作者： Qi Wu Zhenqi Zhang Wenxu Zheng juan Li Nan Ma Rui Li Bo yang Weimiao Wang Xiaodong Li Meikun Fan Faculty of Geosciences and Environmental Engineering Southwest Jiaotong University Institute of Chemical Materials China Academy of Engineering Physics College of Materials and Energy South China Agricultural University Southwest University of Science and Technology

Understanding the structural changes and degradation mechanisms of organic pollutants is critical in environmental *** this work, a xenon lamp was used as an analog light source to simulate the eff ect of sunlight on 3,3′-diamino-4,4′-azoxyfurazan (DAAF) in aqueous solution. Combining high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC–MS/MS), surface-enhanced Raman spectroscopy (SERS) with density functional theory (DFT), the degradation intermediates and mechanisms of DAAF were investigated. The sequential breakdown of the–NH 2and–O–N=bonds, followed by the removal of atomic O from–N=N(O)–, was emphasized and investigated using two-dimensional correlation spectroscopy (2D-COS) and SERS spectra. Three intermediates with mass-to-charge ratios (m/z) 181, 251 and180 were identifi ed and characterized by integrating experimental SERS data with DFT-calculated Raman spectra based on structures hypothesized from MS spectra. The fi ndings from HPLC–MS and SERS not only corroborate each other but also provide a foundation for a detailed examination of the DAAF degradation process.

关键词： DAAF High-performance liquid chromatography coupled with tandem mass spectrometry (HPLC–MS/MS) Photodegradation products Reaction pathways Surface-enhanced Raman spectroscopy (SERS)

Smart Colorimetric Corn Starch Films Combined with Anthocyanin-Loaded Glutenin-Carboxymethyl Chitosan Nanocomplexes for Freshness Monitoring of Chilled Pork

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Journal of Renewable Materials 2024年第1期12卷 71-87页

作者： juan Yan Wenchao Li Xianfang Zhang Shisheng Liu College of Food Science and Engineering Hainan UniversityHaikou570100China Engineering Research Center for Utilization of Tropical Polysaccharide Resources Ministry of EducationHaikou570100China

In this study,intelligent,pH-responsive colorimetric films were prepared by encapsulating anthocyanins in nanocomplexes prepared from glutenin and carboxymethyl *** nanocomplexes were added to a corn starch matrix and used in the freshness monitoring of chilled *** effects of anthocyanin-loaded nanocomplexes on the physical,structural,and functional characteristics of the films were *** addition of anthocyanin-loaded nanocomplexes increased the tensile strength,elongation at break,hydrophobicity,and light transmittance of the films while decreasing their water vapor *** is because new hydrogen bonds are formed between the film components,resulting in a more homogeneous and dense *** colorimetric film has a significant color response to pH *** films were used in experiments on the freshness of chilled pork,in which the pH changes with changing freshness *** results show that the colorimetric film can monitor changes in the freshness of chilled pork in real time,where orange,pink,and green represent the fresh,secondary fresh,and putrefied states of pork,***,the intelligent colorimetric film developed in this study has good application potential in the food industry.

关键词： Carboxymethyl chitosan glutenin nanocomplexes anthocyanins pH indicator film chilled pork