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Effects of Lycium barbarum polysaccharide on cytokines in adolescents with subthreshold depression:a randomized controlled study

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Neural Regeneration Research 2024年第9期19卷 2036-2040页

作者： Xiaoyue Li Tao Liu Xuan Mo Runhua Wang Xueyan Kong Robin Shao Roger S.Mclntyre Kwok-Fai So Kangguang Lin department of Affective Disorders The Affiliated Brain Hospital of Guangzhou Medical University(Guangzhou Huiai Hospital)GuangzhouGuangdong ProvinceChina Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical UniversityGuangzhouGuangdong ProvinceChina department of Psychiatry The Fifth Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong ProvinceChina Mood Disorders Psychopharmacology Unit Poul Hansen Family Centre for DepressionUniversity Health NetworkTorontoONCanada department of Psychiatry University of TorontoTorontoONCanada Brain and Cognition Discovery Foundation TorontoCanada Ministry of Education Joint International Research Laboratory of CNS Regeneration Jinan UniversityGuangzhouGuangdong ProvinceChina Neuroscience and Neurorehabilitation Institute University of Health and Rehabilitation SciencesQingdaoShandong ProvinceChina

Strong evidence has accumulated to show a correlation between depression symptoms and inflammatory ***,anti-inflammatory treatment has shown partial effectiveness in alleviating depression *** barbarum polysaccharide(LBP),derived from Goji berries,exhibits notable antioxidative and anti-inflammatory *** our recent double-blinded randomized placebo-controlled trial,we found that LBP significantly reduced depressive symptoms in adolescents with subthreshold *** is presumed that the antidepressant effect of LBP may be associated with its influence on inflammatory *** the double-blinded randomized controlled trial,we enrolled 29 adolescents with subthreshold depression and randomly divided them into an LBP group and a placebo *** the LBP group,adolescents were given 300 mg/d LBP.A 6-week follow up was completed by 24 adolescents,comprising 14 adolescents from the LBP group(15.36±2.06 years,3 men and 11 women)and 10 adolescents from the placebo group(14.9±1.6 years,2 men and 8 women).Our results showed that after 6 weeks of treatment,the interleukin-17A level in the LBP group was lower than that in the placebo *** analysis showed that LBP reduced the correlations and connectivity between inflammatory factors,which were associated with the improvement in depressive *** findings suggest that 6-week administration of LBP suppresses the immune response by reducing interleukin-17A level,thereby exerting an antidepressant effect.

关键词： adolescents cytokines efficacy Goji berry inflammatory responses interleukin-17A Lycium barbarum polysaccharide randomized controlled study subthreshold depression

Establishment of a cholangiocarcinoma risk evaluation model based on mucin expression levels

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World Journal of Gastrointestinal Oncology 2024年第4期16卷 1344-1360页

作者： Chun-Yuan Yang Li-Mei Guo Yang Li Guang-Xi Wang Xiao-Wei Tang Qiu-Lu Zhang Ling-Fu Zhang Jian-Yuan Luo department of Pathology Institute of Systems BiomedicineSchool of Basic Medical Sciences Peking UniversityPeking University Third HospitalPeking University Health Science CenterBeijing 100191China department of General Surgery Peking University Third HospitalBeijing 100191China department of medical Genetics Department of Biochemistry and BiophysicsSchool of Basic Medical Sciences Peking UniversityPeking University Health Science CenterBeijing 100191China

BACKGROUND Cholangiocarcinoma(CCA)is a highly malignant cancer,characterized by frequent mucin ***1 has been identified as a critical oncogene in the progression of ***,the comprehensive understanding of how the mucin family influences CCA progression and prognosis is still *** To investigate the functions of mucins on the progression of CCA and to establish a risk evaluation formula for stratifying CCA *** Single-cell RNA sequencing data from 14 CCA samples were employed for elucidating the roles of mucins,complemented by bioinformatic ***-quent validations were conducted through spatial transcriptomics and *** construction of a risk evaluation model utilized the least absolute shrinkage and selection operator regression algorithm,which was further confirmed by independent cohorts and diverse data *** CCA tumor cells with elevated levels of MUC1 and MUC4 showed activated nucleotide metabolic pathways and increased ***5AC-high cells were found to promote CCA progression through WNT ***5B-high cells exhibited robust cellular oxidation activities,leading to resistance against antitumoral ***13-high cells were observed to secret chemokines,recruiting and transforming macrophages into the M2-polarized state,thereby suppressing antitumor ***16-high cells were found to promote tumor progression through interleukin-1/nuclear factor kappa-light-chain-enhancer of activated B cells signaling upon interaction with *** the expression levels of these mucins,a risk factor evaluation formula for CCA was developed and validated across multiple *** samples with higher risk factors exhibited stronger metastatic potential,chemotherapy resistance,and poorer *** Our study elucidates the functional mechanisms through which mucins contribute to CCA development,and provides tools for risk stratification in CCA.

关键词： Mucin Cholangiocarcinoma Single-cell RNA sequencing Spatial transcriptomics Prognosis

A nitroreductase-responsive nanoprobe with homogeneous composition and high loading for preoperative non-invasive tumor imaging and intraoperative guidance

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Chinese Chemical Letters 2024年第7期35卷 313-318页

作者： Jingqi Xin Shupeng Han Meichen Zheng Chenfeng Xu Zhongxi Huang Bin Wang Changmin Yu Feifei An Yu Ren Institute of medical Engineering Department of BiophysicsSchool of Basic Medical ScienceHealth Science CenterXi'an Jiaotong UniversityXi'an 710061China School of Public health Health Science CenterXi'an Jiaotong UniversityXi'an 710061China Key Laboratory of Flexible Electronics(KLOFE)&Institute of Advanced Materials(IAM) Nanjing Tech UniversityNanjing 211816China department of Breast Surgery the First Affiliated Hospital of Xi'an Jiaotong UniversityXi'an 710061China

Tumor microenvironment(TME)-activatable probes have been proven to effectively increase signal-tobackground ratios(SBRs)and improve the success rate of complete tumor ***,many fluorescence probes have to be loaded into a nanocarrier for tumor targeted delivery,which consequently encounters poor drug loading,heterogeneous composition and non-encapsulated drug aggregates occurred during nanoformulation ***,a nitroreductase(NTR)-activated“OFF-ON”near-infrared fluorescence nanoprobe,named Nano Bodipy,was synthesized by the spontaneous self-assembling of NTRresponsive dye-polyethylene glycol(PEG)amphiphilic polymer in *** NTR-responsive dye acted as the hydrophobic segment in the amphiphilic polymer,yielding a homogeneous composition and a high loading of 12.2 wt%(according to calculation)in the synthesized Nano *** synthesized Nano Bodipy can efficiently accumulate in tumors via the enhanced permeability and retention(EPR)effect,enabling non-invasive tumor-targeted fluorescence imaging and guiding complete tumor *** the synthesized Nano Bodipy entered the tumor cells,they dissociated and were activated by overexpressed *** the real-time fluorescence guide of Nano Bodipy,complete tumor resection surgery was performed successfully.

关键词： Nitroreductase Tumor diagnosis Intraoperative guidance Self-assembly Nanoprobe

Translating Pathological Brain Activity Primers in Parkinson’s Disease Research

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Research 2024年第1期2023卷 735-752页

作者： Daniela Mirzac Svenja L.Kreis Heiko J.Luhmann Gabriel Gonzalez-Escamilla Sergiu Groppa Movement Disorders and Neurostimulation Department of NeurologyFocus Program Translational NeuroscienceRhine Main Neuroscience NetworkUniversity Medical Center of the Johannes Gutenberg University Mainz55131 MainzGermany Institute of Physiology University Medical Center of the Johannes Gutenberg University Mainz55131 MainzGermany

Translational experimental approaches that help us better trace Parkinson’s disease(PD)pathophysiological mechanisms leading to new therapeutic targets are urgently *** this article,we review recent experimental and clinical studies addressing abnormal neuronal activity and pathological network oscillations,as well as their underlying mechanisms and *** aim is to enhance our knowledge about the progression of Parkinson's disease pathology and the timing of its symptom’s ***,we present mechanistic insights relevant for the generation of aberrant oscillatory activity within the cortico-basal ganglia *** summarize recent achievements extrapolated from available PD animal models,discuss their advantages and limitations,debate on their differential applicability,and suggest approaches for transferring knowledge on disease pathology into future research and clinical applications.

关键词： clinical knowledge insight

Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition

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Computers, Materials & Continua 2024年第6期79卷 3783-3803页

作者： Yi-Chun Lai Shu-Yin Chiang Yao-Chiang Kan Hsueh-Chun Lin department of Public health China Medical UniversityTaichung406040Taiwan department of Information and Telecommunications Engineering Ming Chuan UniversityGui-ShanTaoyuan333Taiwan department of Electrical Engineering Yuan Ze UniversityChung-Li32003Taiwan department and Institute of health Service Administrations China Medical UniversityTaichung406040Taiwan

Artificial intelligence(AI)technology has become integral in the realm of medicine and healthcare,particularly in human activity recognition(HAR)applications such as fitness and rehabilitation *** study introduces a robust coupling analysis framework that integrates four AI-enabled models,combining both machine learning(ML)and deep learning(DL)approaches to evaluate their effectiveness in *** analytical dataset comprises 561 features sourced from the UCI-HAR database,forming the foundation for training the ***,the Mhealth database is employed to replicate the modeling process for comparative purposes,while inclusion of the WISDM database,renowned for its challenging features,supports the framework’s resilience and *** ML-based models employ the methodologies including adaptive neuro-fuzzy inference system(ANFIS),support vector machine(SVM),and random forest(RF),for data *** contrast,a DL-based model utilizes one-dimensional convolution neural network(1dCNN)to automate feature ***,the recursive feature elimination(RFE)algorithm,which drives an ML-based estimator to eliminate low-participation features,helps identify the optimal features for enhancing model *** best accuracies of the ANFIS,SVM,RF,and 1dCNN models with meticulous featuring process achieve around 90%,96%,91%,and 93%,*** analysis using the Mhealth dataset showcases the 1dCNN model’s remarkable perfect accuracy(100%),while the RF,SVM,and ANFIS models equipped with selected features achieve accuracies of 99.8%,99.7%,and 96.5%,***,when applied to the WISDM dataset,the DL-based and ML-based models attain accuracies of 91.4%and 87.3%,respectively,aligning with prior research *** conclusion,the proposed framework yields HAR models with commendable performance metrics,exhibiting its suitability for integration into the healthcare services system through AI-driven applications.

关键词： Human activity recognition artificial intelligence support vector machine random forest adaptive neuro-fuzzy inference system convolution neural network recursive feature elimination

circRNAs deregulation in exosomes derived from BEAS-2B cells is associated with vascular stiffness induced by PM_(2.5)

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Journal of Environmental Sciences 2024年第3期137卷 527-539页

作者： Qingping Liu Yaling Zhang Bin Han Mengruo Wang Huaifang Hu Jie Ning Wentao Hu Meiyu Chen Yaxian Pang Yuanyuan Chen Lei Bao Yujie Niu Rong Zhang department of Toxicology Hebei Medical UniversityShijiazhuang 050017China State Key Laboratory of Environment health(Incubation) Key Laboratory of Environment and HealthMinistry of EducationKey Laboratory of Environment and Health(Wuhan)Ministry of Environmental ProtectionSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China China CDC Key Laboratory of Environment and Population health National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijing 100021China Occupational health and Environmental health Hebei Medical UniversityShijiazhuang 050017China Hebei Key Laboratory of Environment and Human health Hebei Medical UniversityShijiazhuang 050017China

As an environmental pollutant,ambient fine particulate matter (PM_(2.5)) was linked to cardiovascular *** molecular mechanisms underlying PM_(2.5)-induced extrapulmonary disease has not been elucidated *** this study the ambient PM_(2.5)exposure mice model we established was to explore adverse effects of vessel and potential ***-term PM_(2.5)exposure caused reduced lung function and vascular stiffness in *** chronic PM_(2.5)induced migration and epithelial-mesenchymal transition (EMT) phenotype in BEAS-2B *** PM_(2.5)treatment,the circRNAs and mRNAs levels of exosomes released by BEAS-2B cells were detected by competing endogenous RNA (ceRNA) array,which contained 1664 differentially expressed circRNAs (DE-circRNAs) and 308 differentially expressed m RNAs (DE-mRNAs).By bioinformatics analysis on host genes of DE-circRNAs,vascular diseases and some pathways related to vascular diseases including focal adhesion,tight junction and adherens junction were ***,ceRNA network was constructed,and DE-mRNAs in ceRNA network were conducted functional enrichment analysis by Ingenuity Pathway Analysis,which indicated that hsa_circ_0012627,hsa_circ_0053261and hsa_circ_0052810 were related to vascular endothelial ***,it was verified experimentally that Exo^(PM2.5)could induce endothelial dysfunction by increased endothelial permeability and decreased relaxation in *** present study,we investigated in-depth knowledge into the molecule events related to PM_(2.5) toxicity and pathogenesis of vascular diseases.

关键词： Fine particulate matter Vascular stiffness Exosome ceRNA microarray Endothelial dysfunction

High-yield and rapid isolation of extracellular vesicles by flocculation via orbital acoustic trapping:FLOAT

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Microsystems & Nanoengineering 2024年第1期10卷 313-323页

作者： Joseph Rufo Peiran Zhang Zeyu Wang Yuyang Gu Kaichun Yang Joseph Rich Chuyi Chen Ruoyu Zhong Ke Jin Ye He Jianping Xia Ke Li Jiarong Wu Yingshi Ouyang Yoel Sadovsky Luke P.Lee Tony Jun Huang department of Mechanical Engineering and Materials Science Duke UniversityDurhamNCUSA department of Biomedical Engineering Duke UniversityDurhamNCUSA department of Obstetrics Gynecologyand Reproductive SciencesMagee-Womens Research InstituteUniversity of PittsburghPittsburghPAUSA department of Microbiology and Molecular Genetics School of MedicineUniversity of PittsburghPittsburghPAUSA Renal Division and Division of Engineering in Medicine Department of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA department of Bioengineering Department of Electrical Engineering and Computer ScienceUniversity of CaliforniaBerkeleyBerkeleyCAUSA department of biophysics Institute of Quantum BiophysicsSungkyunkwan UniversitySuwonKorea

Extracellular vesicles(EVs)have been identified as promising biomarkers for the noninvasive diagnosis of various ***,challenges in separating EVs from soluble proteins have resulted in variable EV recovery rates and low ***,we report a high-yield(>90%)and rapid(<10 min)EV isolation method called FLocculation via Orbital Acoustic Trapping(FLOAT).The FLOAT approach utilizes an acoustofluidic droplet centrifuge to rotate and controllably heat liquid *** adding a thermoresponsive polymer flocculant,nanoparticles as small as 20 nm can be rapidly and selectively concentrated at the center of the *** demonstrate the ability of FLOAT to separate urinary EVs from the highly abundant Tamm-Horsfall protein,addressing a significant obstacle in the development of EV-based liquid *** to its high-yield nature,FLOAT reduces biofluid starting volume requirements by a factor of 100(from 20 mL to 200µL),demonstrating its promising potential in point-of-care diagnostics.

关键词： trapping utilize separating

FSCIL-EACA: Few-Shot Class-Incremental Learning network Based on Embedding Augmentation and Classifier Adaptation for Image Classification

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Chinese Journal of Electronics 2024年第1期33卷 139-152页

作者： Ruru ZHANG Haihong E Meina SONG School of Computer Science Beijing University of Posts and Telecommunications Education department Information network Engineering Research Center Beijing University of Posts and Telecommunications

The ability to learn incrementally is critical to the long-term operation of AI systems. Benefiting from the power of few-shot class-incremental learning(FSCIL), deep learning models can continuously recognize new classes with only a few samples. The difficulty is that limited instances of new classes will lead to overfitting and exacerbate the catastrophic forgetting of the old classes. Most previous works alleviate the above problems by imposing strong constraints on the model structure or parameters, but ignoring embedding network transferability and classifier adaptation(CA), failing to guarantee the efficient utilization of visual features and establishing relationships between old and new classes. In this paper, we propose a simple and novel approach from two perspectives: embedding bias and classifier bias. The method learns an embedding augmented(EA) network with cross-class transfer and class-specific discriminative abilities based on self-supervised learning and modulated attention to alleviate embedding bias. Based on the adaptive incremental classifier learning scheme to realize incremental learning capability,guiding the adaptive update of prototypes and feature embeddings to alleviate classifier bias. We conduct extensive experiments on two popular natural image datasets and two medical datasets. The experiments show that our method is significantly better than the baseline and achieves state-of-the-art results.

关键词： Training Adaptation models Visualization Image recognition Prototypes Self-supervised learning Power capacitors

Dysprosium oxide,alumina,and graphene oxide reinforced polycaprolactone thin films:Thermal stability,morphology,and cell viability

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Journal of Rare Earths 2024年第7期42卷 1337-1343,I0005页

作者： Mohamed Tharwat Elabbasy Mohamed R.Atteya Mai A.Samak Mousa Abdelrahman Tahani AlMahmoud M.A.El-Morsy A.A.Menazea M.F.H.Abd El-Kader department of Public health College of Public Health and Health InformaticsUniversity of Ha'ilHa'il2440Saudi Arabia Food Control department Faculty of Veterinary MedicineZagazig UniversityZagazig44519Egypt department of Physical Therapy College of Applied Medical SciencesUniversity of Ha'ilHa'ilSaudi Arabia department of Histology and Cell Biology Faculty of MedicineZagazig UniversityZagazig44519Egypt College of Nursing University of Ha'ilHa'ilSaudi Arabia College of Science and Humanities in Al-Kharj Physics DepartmentPlasma Technology and Material Science UnitPrince Sattam Bin Abdulaziz UniversityAl-kharj11942Saudi Arabia Physics department Faculty of ScienceUniversity of DamiettaNew Damietta34517Egypt Spectroscopy department Physics Research InstituteNational Research CentreDokki12622GizaEgypt biophysics department Faculty of ScienceCairo UniversityGizaEgypt

Developing a biomaterial for wound healing applications is still a ***,dysprosium oxide(Dy_(2)O_(3)),aluminum oxide(Al_(2)O_(3)),and graphene oxide(GO)were embedded in cast films based on polycaprolactone(PCL)to be examined for wound dressing *** techniques were used to characterize the fabricated films including X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR),Raman,and scanning electron microscopy(SEM),besides their biological *** thermogravimetric analysis(TGA)exhibits high thermal stability as the scaffold weight decreases slightly to 98.6%after raising the temperature from room temperature to 280℃.The cell viability was investigated and it is shown that the viable cells grow up to approximately 93%at 75μg/***,the cell attachment shows excellent behavior as the cells attach on most of the surface of the modified PCL which shows high biocompatibility.

关键词： Wound healing Polycaprolactone Dy_(2)O_(3) Al_(2)O_(3) Biocompatible Rare earths