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Priority Screening of Contaminants of Emerging Concern (Cecs) in Surface Water: Comparing Cell-Based Bioassays and Exposure-Activity Ratios (Ears)

SSRN

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SSRN 2024年

作者： Heuvel, John Patrick Vanden Granda, Megan Ferguson, Francesca M. Glaberman, Scott R. Preisendanz, Heather E. Department of Veterinary and Biomedical Sciences Penn State University University ParkPA United States INDIGO Biosciences Inc. 3006 Research Drive State CollegePA16801 United States Institute for Sustainable Agricultural Food and Environmental Science The Pennsylvania State Univ. University ParkPA16802 United States Intercollege Graduate Degree Program in Ecology Penn State University University ParkPA United States Department of Entomology Penn State University University ParkPA United States Department of Agricultural and Biological Engineering Penn State University University ParkPA United States George Mason University Department of Environmental Science and Policy FairfaxVA United States Department of Veterinary and Biomedical Sciences Penn State University 122 Agricultural Sciences and Industry Building University ParkPA16802 United States

In this study, we compared a wide range of cell-based bioassays to the use of chemical analysis followed by exposure-activity ratio (EAR) and Toxicological Prioritization index (ToxPi) for prioritizing chemicals, sites, and hazard concerns in water samples. Surface water samples were collected from nine sites in three Central Pennsylvania streams and analyzed for a targeted list of compounds of emerging concern (CECs), including pesticides, personal care products, and pharmaceuticals. Cell-based reporter assays evaluated human and zebrafish molecular initiating events (MIEs) in endocrine and metabolic disruption, altered lipid metabolism, and oxidative stress. Bioassays showed that 29 out of 40 assays had at least one site with activity over the limit of detection. The receptors that exhibited the highest number of samples above the effect-based trigger (EBT) values that would be expected to cause toxicity were Aryl hydrocarbon receptor (AhR, human and zebrafish), Pregnane X Receptor (PXR), Estrogen Receptor-beta (ERB), and Androgen Receptor (AR). Characterizing the collection sites by their bioactivity aligned closely with the stream in which samples were collected, with the three sites in Warriors Mark Run, three in Halfmoon, and three in Spruce Run more similar than sites from the other streams. The sum of all EARs for each chemical indicated that the pharmaceutical Carbamazepine and the pesticides Carbaryl and Atrazine posed the greatest concern. However, predicted activity and site prioritization based on individual chemical analysis and calculated EAR were different than those measured by bioassay, indicating that biologically active chemicals are present in the samples that were not included in the targeted analytes. Taken together, these data show that chemical analysis and EAR analysis are beneficial for prioritization of chemicals, whereas mechanism-based bioassays are more inclusive of known as well as unknown chemical contaminants and thus of more use fo

关键词： Water quality

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From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare

arXiv

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arXiv 2024年

作者： Li, Ming Xu, Pengcheng Hu, Junjie Tang, Zeyu Yang, Guang Bioengineering Department Imperial-X Imperial College London LondonW12 7SL United Kingdom National Heart and Lung Institute Imperial College London LondonSW7 2AZ United Kingdom Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital BostonMA United States State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and Engineering Zhejiang University Hangzhou China Tri-Institutional Computational Biology & Medicine Program Weill Cornell Medicine of Cornell University New York United States Cardiovascular Research Centre Royal Brompton Hospital LondonSW3 6NP United Kingdom School of Biomedical Engineering & Imaging Sciences King’s College London LondonWC2R 2LS United Kingdom

Federated learning holds great potential for enabling large-scale healthcare research and collaboration across multiple centres while ensuring data privacy and security are not compromised. Although numerous recent studies suggest or utilize federated learning based methods in healthcare, it remains unclear which ones have potential clinical utility. This review paper considers and analyzes the most recent studies up to May 2024 that describe federated learning based methods in healthcare. After a thorough review, we find that the vast majority are not appropriate for clinical use due to their methodological flaws and/or underlying biases which include but are not limited to privacy concerns, generalization issues, and communication costs. As a result, the effectiveness of federated learning in healthcare is significantly compromised. To overcome these challenges, we provide recommendations and promising opportunities that might be implemented to resolve these problems and improve the quality of model development in federated learning with healthcare. © 2024, CC BY-NC-ND.

关键词： Federated learning

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Co-MOF-67/carbon black composite: A novel electrochemical platform for furazolidone detection for food analysis

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Food Chemistry 2025年 489卷 145023页

作者： Selvam, Arunkumar Gopika, Meenakumari Gopakumar Kuo, Chih-Yu Saraswathyamma, Beena Yusuf, Kareem Govindasamy, Mani National Taipei University of Technology Taipei10608 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei10608 Taiwan Department of Chemistry Amrita Vishwa Vidyapeetham Amritapuri campus Clappana P O Kerala Kollam690525 India High-Value Biomaterials Research and Commercialization Center National Taipei University of Technology Taipei106 Taiwan Department of Chemistry College of Science King Saud University Riyadh11451 Saudi Arabia International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City243303 Taiwan Research Center for Intelligent Medical Devices Ming Chi University of Technology New Taipei City243303 Taiwan Department of Chemistry Korea University Seoul Seongbuk-gu Korea Republic of

Furazolidone (FZD), a nitrofuran antibiotic used for the treatment of bacterial and protozoal illnesses, generates apprehensions about its potential toxicity and mutagenicity. The swift and dependable identification of FZD in food and biological specimens is essential for public health and regulatory adherence. This study presents a novel electrochemical sensor using a glassy carbon electrode (GCE) modified with a cobalt-based metal-organic framework (Co-MOF) and carbon black (CB) composite (Co-MOF@CB/GCE) for the sensitive detection of FZD. The Co-MOF@CB composite enhances electron transport and expands the electroactive surface area. Characterization investigations confirmed the successful fabrication of the Co-MOF@CB/GCE sensor. Electrochemical analyses revealed an extensive detection range (0.4–610 μmolL−1) and a minimal detection limit (0.0875 μmolL−1). The sensor exhibited great repeatability, stability, and selectivity, demonstrating efficient FZD detection in milk, honey, and chicken. This sensor provides a reliable, economical tool for FZD detection in regulatory and public health contexts. © 2025 Elsevier Ltd

关键词： Diseases

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Frequency-responsive sorption of metal ions onto magnetic polyvinyltetrazole microspheres through a solenoid-wrapped glass tube with magnetophoresis force

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Journal of Water Process engineering 2024年 63卷

作者： Chen, Chih-Wei Wang, Chih-Feng Lu, Chien-Hsing Chen, Jem-Kun Department of Materials Science and Engineering National Taiwan University of Science and Technology 43 Sec. 4 Keelung Road Taipei 106 Taiwan Division of Neurosurgery Department of Surgery Chi Mei Medical Center Tainan 710 Taiwan Institute of Advanced Semiconductor Packaging and Testing National Sun Yat-sen University Kaohsiung 804 Taiwan Department of Obstetrics and Gynecology Taichung Veterans General Hospital Taichung 40705 Taiwan Institute of Biomedical Sciences Ph.D. Program in Translational Medicine Rong-Hsing Research Center for Translational Medicine National Chung-Hsing University Taichung 940227 Taiwan

Concentration gradient predominantly determining both the diffusion rate and the removal rate of pollutants by adsorbents. An external magnetophoresis force (FMEP) is introduced to accelerate the adsorption of metal i... 详细信息

Concentration gradient predominantly determining both the diffusion rate and the removal rate of pollutants by adsorbents. An external magnetophoresis force (F_MEP) is introduced to accelerate the adsorption of metal ions on adsorbents under an alternating magnetic field (AMF). A solenoid-wrapped glass tube (SWGT) containing adsorbents is designed to generate F_MEP in a flowing system. Magnetic Fe₃O₄ nanoparticles (MFs) are coated on polyacrylonitrile microspheres (PANs) as precursors (PAN@MFs) by Pickering emulsion polymerization. The core@shell polyvinyltetrazole@MFs (PVT@MFs) are obtained as the adsorbents after subsequent cyano-tetrazole conversion of PAN@MFs for the adsorption of Pb(II), Cu(II), and Cr(III) ions. The theoretical adsorption rate constants of these metal ions onto the PVT@MFs in the presence of F_MEP are enhanced by approximately three times under an AMF at 1 kHz and 87.6 G. At a high frequency of 10 kHz, hyperthermia occurs on the PVT@MFs, facilitating the desorption of metal ions from the adsorbents. Compared with reuse using an acidic solution, the magnetic PVT@MFs can be reused up to 10 times by switching the frequency of the AMF between 1 and 10 kHz. Our proposed platform provides a novel methodology with a magnetic adsorbent for metal ions to rapidly improve either the adsorption or desorption processes. © 2024

关键词： Adsorption rate Hyperthermia Magnetic susceptibility Polyvinyltetrazole

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Extracellular Matrix Protein Composition Dynamically Changes During Murine Forelimb Development

SSRN

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SSRN 2023年

作者： Jacobson, Kathryn R. Saleh, Aya M. Lipp, Sarah N. Tian, Chengzhe Watson, Audrey R. Luetkemeyer, Callan M. Ocken, Alexander R. Spencer, Sabrina L. Kinzer-Ursem, Tamara L. Calve, Sarah Purdue University Interdisciplinary Life Science Program Purdue University West LafayetteIN47907 United States Weldon School of Biomedical Engineering Purdue University West LafayetteIN47907 United States The Indiana University School of Medicine IndianapolisIN46202 United States Department of Biochemistry University of Colorado Boulder BoulderCO80303 United States BioFrontiers Institute University of Colorado Boulder BoulderCO80303 United States Austrian Academy of Sciences Vienna Austria Paul M. Rady Department of Mechanical Engineering University of Colorado Boulder BoulderCO80309 United States Paul M. Rady Department of Mechanical Engineering United States

The extracellular matrix (ECM) is an integral part of multicellular organisms, connecting different cell layers and tissue types. During morphogenesis and growth, tissues undergo substantial reorganization. While it is intuitive that the ECM remodels in concert, little is known regarding how matrix composition and organization change during development. Here, we quantified ECM protein dynamics in the murine forelimb during appendicular musculoskeletal morphogenesis (embryonic days 11.5-14.5) using tissue fractionation, bioorthogonal non-canonical amino acid tagging, and mass spectrometry. Our analyses indicated that ECM protein (matrisome) composition in the embryonic forelimb changed as a function of development and growth, was distinct from other developing organs (brain), and was altered in a model of disease (osteogenesis imperfecta murine). Additionally, the tissue distribution for select matrisome were assessed via immunohistochemistry in the wild-type embryonic and postnatal musculoskeletal system, which did not directly correlate with single-cell transcriptomic expression profiles, indicating the importance for investigating the proteome in addition to the transcriptome. This resource will guide future research investigating the role of the matrisome during complex tissue development. © 2023, The Authors. All rights reserved.

关键词： Mass spectrometry

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Metabolic phenotyping combined with transcriptomics metadata fortifies the diagnosis of early-stage Hepatocellular carcinoma

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Journal of Advanced Research 2024年

作者： Kim, Sun Jo Jung, Cheol Woon Anh, Nguyen Hoang Yoon, Young Cheol Long, Nguyen Phuoc Hong, Soon-Sun Cho, Eun Ju Kwon, Sung Won Research Institute of Pharmaceutical Sciences Seoul National University Seoul 08826 South Korea College of Pharmacy Chonnam National University Gwangju 61186 South Korea College of Pharmacy Seoul National University Seoul 08826 South Korea Department of Pharmacology and PharmacoGenomics Research Center Inje University College of Medicine Busan 47392 South Korea Department of Biomedical Science College of Medicine and Program in Biomedical Sciences and Engineering Inha University Incheon 22332 South Korea Department of Internal Medicine and Liver Research Institute Seoul National University College of Medicine Seoul 03080 South Korea Plant Genomics and Breeding Institute Seoul National University Seoul 08826 South Korea

Introduction: The low sensitivity of alpha-fetoprotein (AFP) renders it unsuitable as a stand-alone marker for early hepatocellular carcinoma (eHCC) surveillance. Therefore, additional blood-based biomarkers with enhanced sensitivities are required. Objectives: In light of the metabolic changes that are distinctive to eHCC development, the current study presents a panel of serum metabolites that may serve as noninvasive diagnostic indicators for patients with eHCC. Methods: Serum samples obtained from normal control (NC), cirrhosis, and eHCC patients were analyzed by four different metabolomic platforms. A meta-analysis of very early-stage HCC transcriptomic datasets retrieved from public sources supports the integrated interpretation with metabolic changes. Results: A total of 94 metabolites were significantly correlated with a progressive disease status. Integrated analysis of the significant metabolites and differentially expressed genes from meta-analysis emphasized metabolic pathways including bile acid biosynthesis, phenylalanine and tyrosine metabolism, and butanoate metabolism. The 11 metabolites associated with these pathways were compiled into a metabolite panel for use as diagnostic signatures. With an accuracy of 81.8%, compared with 45.4% for a model trained solely on AFP, the model enhanced its ability to differentiate between the three groups by incorporating a metabolite panel and AFP. Upon examining the trained models using receiver operating characteristic curves, the AFP and metabolite panel combined model exhibited greater area under the curve values in comparisons between NC and eHCC (1.000 versus 0.810) and cirrhosis and eHCC (0.926 versus 0.556). The result was consistent in an independent validation cohort. Conclusion: This study emphasizes the role of circulating metabolite markers in the diagnosis of eHCC. © 2024

关键词： Carcinoma, Hepatocellular Early diagnosis Gene expression profiling Machine learning Metabolomics

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Radiation tolerance study of scintillation properties with 6 MeV electron beam on inorganic scintillators

Radiation tolerance study of scintillation properties with 6...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： C. Park S. Kim J. Seo M. Alima H. Kim H. Park K. Lee S. Cho J.-Y. Yeom Global Health Technology Research Center Korea University Seongbuk-Gu Republic of Korea Interdisciplinary Program in Precision Public Health Korea University Seongbuk-Gu Republic of Korea Department of Health and Safety Convergence Science Korea University Seongbuk-Gu Republic of Korea Department of Bioengineering Korea University Seongbuk-Gu Republic of Korea Department of Radiation Oncology Chonnam National University Medical School Dong-Gu Republic of Korea School of Biomedical Engineering Korea University Seongbuk-Gu Republic of Korea

The radiation tolerance of several inorganic scintillators was investigated to ensure their reproducibility in electron beam exposure. LuAG:Pr, GPS:Ce, LYSO:Ce, GAGG:Ce single, and GAGG:Ce ceramic scintillators were prepared with all faces polished mechanically and thermally annealed. Electron beam exposures at 50, 100, 500, 1000, and 3000 Gy were conducted using a 6 MeV clinical electron beam from a Varian Novalis Tx linear accelerator with a 270-degree bending magnet. Energy spectra were acquired by exciting a 137 Cs source coupled to a photomultiplier tube (PMT) kept in the dark box with a biased high voltage of -900 V. The relative light output of GPS:Ce and LuAG:Pr compared to the baseline decreased steadily after electron beam exposure, recording 66.2% and 56.9%, respectively, at a dose of 3 kGy. The transmittance and photoluminescence of these scintillators also deteriorated with increasing crystallographic defects. In contrast, LYSO:Ce and GAGG:Ce scintillators demonstrated high tolerance to electron beams. Thermal annealing was shown to restore the scintillation properties of the degraded scintillators. These findings provide valuable insights into the radiation tolerance of inorganic scintillators and have implications for the design of radiation detectors for various applications, including radiation therapy and aerospace. Using inorganic scintillators in radiation therapy is particularly critical for estimating radiation exposure. The potential of these scintillators in aerospace applications will also be explored based on the promising results of this study.

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Hybrid Vesicles Enable Mechano-Responsive Hydrogel Degradation

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Angewandte Chemie 2023年第41期135卷

作者： Sung-Won Hwang Chung-Man Lim Prof. Cong Truc Huynh Hossein Moghimianavval Prof. Nicholas A. Kotov Prof. Eben Alsberg Prof. Allen P. Liu Department of Chemical Engineering University of Michigan Ann Arbor MI 48109 USA Department of Materials Science and Engineering University of Michigan Ann Arbor MI 48109 USA Department of Biomedical Engineering University of Illinois Chicago Chicago IL 60612 USA Department of Mechanical Engineering University of Michigan Ann Arbor MI 48109 USA Departments of Biomedical Engineering Macromolecular Science and Engineering Biointerfaces Institute University of Michigan Ann Arbor MI 48109 USA Departments of Orthopedic Surgery Pharmacology and Regenerative Medicine and Mechanical and Industrial Engineering University of Illinois Chicago Chicago IL 60612 USA Departments of Biomedical Engineering Biophysics Cellular and Molecular Biology Program Applied Physics Program University of Michigan Ann Arbor MI 48109 USA

Stimuli-responsive hydrogels are intriguing biomimetic materials. Previous efforts to develop mechano-responsive hydrogels have mostly relied on chemical modifications of the hydrogel structures. Here, we present a simple, generalizable strategy that confers mechano-responsive behavior on hydrogels. Our approach involves embedding hybrid vesicles, composed of phospholipids and amphiphilic block copolymers, within the hydrogel matrix to act as signal transducers. Under mechanical stress, these vesicles undergo deformation and rupture, releasing encapsulated compounds that can control the hydrogel network. To demonstrate this concept, we embedded vesicles containing ethylene glycol tetraacetic acid (EGTA), a calcium chelator, into a calcium-crosslinked alginate hydrogel. When compressed, the released EGTA sequesters calcium ions and degrades the hydrogel. This study provides a novel method for engineering mechano-responsive hydrogels that may be useful in various biomedical applications.

关键词： Block Copolymers Functional Material Stimuli-Responsive Hydrogel Stress-Induced Degradation Vesicles

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Fluorescent imaging technologies for in situ measurement of drug target engagement and cell signaling pathways 4

Fluorescent imaging technologies for in situ measurement of ...

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Visualizing and Quantifying Drug Distribution in Tissue IV 2020

作者： McMahon, Nathan P. Solanki, Allison Jones, Jocelyn Kwon, Sunjong Chang, Young-Hwan Chin, Koei Nederlof, Michel A. Gray, Joe W. Gibbs, Summer L. Department of Biomedical Engineering Oregon Health and Science University PortlandOR97201 United States Knight Cancer Institute Oregon Health and Science University PortlandOR97201 United States Center for Spatial Systems Biomedicine Oregon Health and Science University PortlandOR97201 United States Computational Biology Program Oregon Health and Science University PortlandOR97201 United States Quantitative Imaging Systems PittsburghPA15238 United States

ISBN: (纸本)9781510632011

Successful cancer treatment continues to elude modern medicine and its arsenal of therapeutic strategies. Therapy resistance is driven by significant tumor heterogeneity, complex interactions between malignant, microenvironmental and immune cells and cross talk between signaling pathways. Advances in molecular characterization technologies such as next generation sequencing have helped unravel this network of interactions and identify druggable therapeutic targets. Tyrosine kinase inhibitors (TKI) are a class of drugs seeking to inhibit signaling pathways critical to sustaining proliferative signaling, resisting cell death, and the other hallmarks of cancer. While tumors may initially respond to TKI therapy, disease progression is near universal due to mechanisms of acquired resistance largely involving cellular signaling pathway reprogramming. With the ultimate goal of improved TKI therapeutic efficacy our group has developed intracellular paired agent imaging (iPAI) to quantify drug target interactions and oligonucleotide conjugated antibody (Ab-oligo) cyclic immunofluorescence (cycIF) imaging to characterize perturbed signaling pathways in response to therapy. iPAI uses spectrally distinct, fluorescently labeled targeted and untargeted drug derivatives, correcting for non-specific drug distribution and facilitating quantitative assessment of the drug binding before and after therapy. Ab-oligo cycIF exploits in situ hybridization of complementary oligonucleotides for biomarker labeling while oligonucleotide modifications facilitate signal removal for sequential rounds of fluorescent tagging and imaging. Aboligo CycIF is capable of generating extreme multi-parametric images for quantifying total and phosphorylated protein expression to quantify protein activation, expression, and spatial distribution. Together iPAI and Ab-oligo cycIF can be applied to interrogate drug uptake and target binding as well as changes to heterogenous cell populations within tumors that d

关键词： Fluorescence imaging

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Different Particle Sizes of Momordica Charantia Leaf Powder Modify the Rheological and Textural Properties of Corn Starch-Based 3d Food Printing Ink

SSRN

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SSRN 2023年

作者： Fan, Meiqi Choi, Young-Jin Wedamulla, Nishala Erandi Oh, Mirae Bae, Sung Mun Yang, Daeun Kang, Hyo Tang, Yujiao Moon, Sang-Ho Kim, Eun-Kyung Division of Food Bioscience College of Biomedical and Health Sciences Konkuk University Chungju27478 Korea Republic of Department of Food Science and Nutrition College of Health Science Dong-A University Busan49315 Korea Republic of Department of Health Sciences The Graduate School of Dong-A University Busan49315 Korea Republic of Department of Food Science and Technology Faculty of Animal Science and Export Agriculture Uva Wellassa University Badulla90000 Sri Lanka Grassland and Forages Division National Institute of Animal Science Rural Development Administration Cheonan31000 Korea Republic of Gyeongnam Agricultural Research and Extension Services Jinju52733 Korea Republic of BK-21 Four Graduate Program Department of Chemical Engineering Dong-A University Busan49315 Korea Republic of School of Bio-Science and Food Engineering Changchun University of Science and Technology Changchun130600 China Center for Food and Bio Innovation Dong-A University Busan49315 Korea Republic of Nutritional Education Major Graduate School of Education Dong-A University Busan49315 Korea Republic of Nutrinomics Lab. Co. Ltd. Busan49315 Korea Republic of

The study determined the effect of incorporating Momordica charantia leaf powder (MCLP) into corn-starch 3D food-printing ink as a functional ingredient. The effects of the particle size (75, 131, and 200 μm) and quantity of MCLP on 3D printing performance, structural, textural, and rheological properties of corn starch gel were evaluated with different concentrations (5, 10, and 15% (w/w)) of corn starch. The viscoelastic properties of food inks were determined considering their behavior during extrusion and self-recovery after printing. Scanning electron microscope was used to characterize the microstructure. Based on the results, a high starch content (15%) with 5% MCLP was more favorable for 3D food printing. In addition, 3D printing performance, textural and rheological properties of formulated ink was mainly governed by the particle size of MCLP. The food ink with a 5% mass fraction of 200 μm MCLP had the highest printing precision and the best masticatory properties. © 2023, The Authors. All rights reserved.

关键词： Particle size

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