工程技术最新文献

{"title":"Assessment of 10-MDP and GPDM monomers on viability and inflammatory response in human dental pulp stem cells.","authors":"Fabiana Dubau Cavallaro-Mota, Gabriela Nunes Esposo, Matheus Kury, Bruna M Fronza, Cintia Helena C Saraceni, Denise Carleto Andia, Adriano F Lima","doi":"10.1016/j.dental.2024.10.008","DOIUrl":"10.1016/j.dental.2024.10.008","url":null,"abstract":"<p><strong>Objectives: </strong>to assess the cytotoxicity of the following functional monomers used in dental adhesives: 10-Methacryloyloxydecyl dihydrogen phosphate (10-MDP) and glycerol phosphate dimethacrylate (GPDM), and their effect on cytokine release from human dental pulp stem cells (hDPSCs).</p><p><strong>Methods: </strong>The hDPSCs cells were isolated from the dental pulp of extracted human third molars. The functional monomers, 10-MDP and GPDM, were diluted in dimethyl sulfoxide (DMSO) at concentrations ranging from 1 to 4 mM. Cells not exposed to the compounds served as controls. The hDPSCs were seeded into 96-well plates and incubated for 48 h. Subsequently, the cells were exposed to 10-MDP and GPDM for 24 h. Then, the culture medium was removed, the mitochondrial metabolism was evaluated using the MTT assay, while cell death analyzed by flow cytometry. Cytokine release (IL-1β, IL-6, IL-8, IL-10, TNF-α) was analyzed by the MAGPIX. The data were analyzed using one-way ANOVA and Tukey's test.</p><p><strong>Results: </strong>10-MDP demonstrated significant toxicity to hDPSCs, reaching the IC50 at 3 mM. However, its impact on cytokine release was minimal, resulting only in IL-6 and IL-8 levels. GPDM exhibited lower toxicity, even at 4 mM, but induced an increase in IL-1β release and a reduction in IL-6, IL-8, and IL-10 levels, with no effect on TNF-α. Despite the MTT assay results indicating cytotoxicity, the cell death was low for both functional monomers.</p><p><strong>Significance: </strong>10-MDP exhibited significant toxicity to hDPSCs, unlike GPDM, however, both monomers resulted in minimal cell death. 10-MDP had a minor impact on cytokine release, whereas GPDM demonstrated a potential to trigger an inflammatory reaction, particularly in the short term.</p>","PeriodicalId":298,"journal":{"name":"Dental Materials","volume":" ","pages":"1-6"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142542498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative Assessment of the Structural Effects in Foot Soft Tissues Depending on the Mechanical Contact Between Joints.","authors":"N Mancera-Campos, A Vidal-Lesso, J Bayod López","doi":"10.1002/cnm.3888","DOIUrl":"10.1002/cnm.3888","url":null,"abstract":"<p><p>Developing realistic numerical foot models is essential to accurately predict the structural behavior of its bones and soft tissues. The representation of the foot joints is a crucial point that must be considered to recreate these models' natural behavior. Numerically, different types of contact represent these interactions, two being the most common: one that allows movement between bones and one that restricts it. However, the structural behavior of the model is affected depending on which type of contact is chosen to simulate the interaction. Therefore, this paper aims to develop a numerical foot model to analyze and quantify both types of mechanical contact and determine their effect on soft tissues by evaluating and comparing different structural parameters. The results show that the TA, CPF, LPF, EDB, and FDBT soft tissues reach the maximum stress and strain levels like the highest displacement values. The differences between models in these tissues reach percentage values of up to 74.69% for the principal stresses and up to 68.42% for the principal strains. Significant differences were also found in the displacements obtained in the anteroposterior axes (X) and the vertical or the load axis (Y) of up to 42.03% and 37.47%, respectively. These results allow us to quantify the impact that the choice of the contact type of the foot joints has over its soft tissues and suggest that the way of simulating the movement between bones contributes significantly to the quantitative variation of the structural parameters, affecting thus, the predictions made in the several studies performed with foot numerical models; a contact type that reproduces the natural joint movement is the better option based on this work results.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":" ","pages":"e3888"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142774534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthetic ECG signals generation: A scoping review.","authors":"Beatrice Zanchi, Giuliana Monachino, Luigi Fiorillo, Giulio Conte, Angelo Auricchio, Athina Tzovara, Francesca D Faraci","doi":"10.1016/j.compbiomed.2024.109453","DOIUrl":"10.1016/j.compbiomed.2024.109453","url":null,"abstract":"<p><p>The scientific community has recently shown increasing interest in generating synthetic ECG data. In particular, synthetic ECG signals can be beneficial for understanding cardiac electrical activity, developing large and heterogeneous unbiased datasets, and anonymizing data to favour knowledge sharing and open science. In the present scoping review, various methodologies to generate synthetic ECG data have been thoroughly analysed, highlighting their limitations and possibilities. A total of 79 studies have been included and classified, depending on the methodology employed, the number of leads, the number of heartbeats, and the purpose of data synthesis. Three main categories have been identified: mathematical modelling, computer vision inherited methods, and deep generative models. This thorough analysis can assist in the choice of the most suitable technique for a specific application. The biggest challenge is identifying standardized metrics that can comprehensively and quantitatively assess the fidelity and variability of generated synthetic ECG data.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109453"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142754834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivariable identification based MPC for closed-loop glucose regulation subject to individual variability.","authors":"Weijie Wang, Shaoping Wang, Yuwei Zhang, Yixuan Geng, Deng'ao Li, Shiwei Liu","doi":"10.1080/10255842.2023.2282952","DOIUrl":"10.1080/10255842.2023.2282952","url":null,"abstract":"<p><p>The controller is important for the artificial pancreas to guide insulin infusion in diabetic therapy. However, the inter- and intra-individual variability and time delay of glucose metabolism bring challenges to control glucose within a normal range. In this study, a multivariable identification based model predictive control (mi-MPC) is developed to overcome the above challenges. Firstly, an integrated glucose-insulin model is established to describe insulin absorption, glucose-insulin interaction under meal disturbance, and glucose transport. On this basis, an observable glucose-insulin dynamic model is formed, in which the individual parameters and disturbances can be identified by designing a particle filtering estimator. Next, embedded with the identified glucose-insulin dynamic model, a mi-MPC method is proposed. In this controller, plasma glucose concentration (PGC), an important variable and indicator of glucose regulation, is estimated and controlled directly. Finally, the method was tested on 30 in-silico subjects produced by the UVa/Padova simulator. The results show that the mi-MPC method including the model, individual identification, and the controller can regulate glucose with the mean value of 7.45 mmol/L without meal announcement.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"37-50"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138048414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to \"Novel co-initiators of polymerization: Cytotoxicity profile and modulation of inflammatory mediators in human dental pulp stem cells\" [Dent Mater 40/10 (2024) 1692-1696].","authors":"Adriano F Lima, Giulia G Pizzanelli, Camila S Stolf, Jean-Pierre Salomon, Jacques Lalevée, Denise Carleto Andia","doi":"10.1016/j.dental.2024.11.001","DOIUrl":"10.1016/j.dental.2024.11.001","url":null,"abstract":"","PeriodicalId":298,"journal":{"name":"Dental Materials","volume":" ","pages":"100"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142724557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of a low acetate-producing strain of Tetragenococcus halophilus to soy sauce fermentation.","authors":"Keita Higuchi, Yuya Nukagawa, Takura Wakinaka, Jun Watanabe, Yoshinobu Mogi","doi":"10.1016/j.jbiosc.2024.09.007","DOIUrl":"10.1016/j.jbiosc.2024.09.007","url":null,"abstract":"<p><p>In soy sauce brewing, the halophilic lactic acid bacterium, Tetragenococcus halophilus is used as a fermentation starter and contributes to the taste and aroma of soy sauce, mainly by producing lactate. By lowering the pH of the soy sauce mash, lactate serves as a suitable growth environment for the halotolerant yeast Zygosaccharomyces rouxii. Acetate, which is produced by T. halophilus via the citrate metabolic pathway, is a critical growth inhibitory factor for Z. rouxii. Therefore, a T. halophilus strain that lacks acetate production could be an ideal fermentation starter to enhance ethanol production. In this study, we obtained a derivative of T. halophilus containing an insertion sequence in citC, which is an essential gene for citrate metabolism, and validated its performance as a soy sauce fermentation starter. The derivative neither metabolized citrate nor produced excessive acetate in soy sauce mash, resulting in vigorous alcohol fermentation by Z. rouxii. This study provides insights into the application of a low acetate-producing strain of T. halophilus as a starter to produce soy sauce with high alcohol content and low sour aroma.</p>","PeriodicalId":15199,"journal":{"name":"Journal of bioscience and bioengineering","volume":" ","pages":"23-29"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142466295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In vivo Multi-perspective 3D + t Ultrasound Imaging and Motion Estimation of Abdominal Aortic Aneurysms.","authors":"Esther J Maas, Kim M Donkers, Hein de Hoop, Arjet H M Nievergeld, Mirunalini Thirugnanasambandam, Marc R H M van Sambeek, Richard G P Lopata","doi":"10.1177/01617346241285168","DOIUrl":"10.1177/01617346241285168","url":null,"abstract":"<p><p>Time-resolved three-dimensional ultrasound (3D + t US) is a promising imaging modality for monitoring abdominal aortic aneurysms (AAAs), providing their 3D geometry and motion. The lateral contrast of US is poor, a well-documented drawback which multi-perspective (MP) imaging could resolve. This study aims to show the feasibility of in vivo multi-perspective 3D + t ultrasound imaging of AAAs for improving the image contrast and displacement accuracy. To achieve this, single-perspective (SP) aortic ultrasound images from three different angles were spatiotemporally registered and fused, and the displacements were compounded. The fused MP had a significantly higher wall-lumen contrast than the SP images, for both patients and volunteers (<i>P</i> < .001). MP radial displacements patterns are smoother than SP patterns in 67% of volunteers and 92% of patients. The MP images from three angles have a decreased tracking error (<i>P</i> < .001 for all participants), and an improved SNR_e compared to two out of three SP images (<i>P</i> < .05). This study has shown the added value of MP 3D + t US, improving both image contrast and displacement accuracy in AAA imaging. This is a step toward using multiple or large transducers in the clinic to capture the 3D geometry and strain more accurately, for patient-specific characterization of AAAs.</p>","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":" ","pages":"3-13"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142394685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An <i>in - silico</i> perspective on the role of methylation-related genes in wheat - <i>Fusarium graminearum</i> interaction.","authors":"Lalit L Kharbikar, Arti S Shanware, Shweta K Nandanwar, Mahender S Saharan, Sarmistha Nayak, Sushma Rani Martha, Ashish Marathe, Anil Dixit, Neeti Sanan Mishra, Simon G Edwards","doi":"10.1007/s13205-024-04179-0","DOIUrl":"https://doi.org/10.1007/s13205-024-04179-0","url":null,"abstract":"<p><p>Wheat (<i>Triticum aestivum</i> L.), a vital cereal crop, provides over 20% of the total calories and protein in the human diet. However, <i>Fusarium graminearum</i>, the pathogen responsible for Fusarium head blight (FHB), poses a significant threat to wheat production by contaminating grains with harmful mycotoxins. Although Fusarium head blight is currently a minor disease in India, it has the potential to cause substantial yield and quality losses, especially if rain occurs during mid-anthesis. Epigenetic mechanisms, including DNA methylation and sRNA accumulation, are crucial in regulating gene expression and enabling plants to adapt to environmental stresses. Previous studies investigating wheat's response to <i>F</i>. <i>graminearum</i> through transcriptome analysis of lines differing in 2DL FHB resistance QTLs did not fully explore the role of methylation-related genes. To address this gap, we re-analyzed RNA-Seq data to uncover the response of methylation-related genes to pathogen infection. Our analysis revealed that 16 methylation-related genes were down-regulated in the susceptible line 2-2890, with Gene Ontology (GO) analysis linking these genes to L-methionine salvage from methylthioadenosine (GO:0019509), S-adenosylmethionine metabolism (GO:0033353), and steroid biosynthesis (GO:0006694) (<i>p</i>-value = 0.001). Co-expression analysis identified a negative correlation (-0.82) between methionine S-methyl-transferase (MSM; TraesCS1A02G013800) and 3-hydroxy-3-methyl-glutaryl coenzyme A reductase (HMGCR; TraesCS5A02G269300). HMGCR also showed negative correlations (-1.00) with genes encoding pathogenesis-related, detoxification proteins, and xylanase inhibitors, with GO associating these genes with methionine S-methyl transferase activity (<i>p</i>-value = 0.001). In pathogen-inoculated samples, the elevated expression of HMGCR (Log2 3.25-4.00) and the suppression of MSM (Log2 1.25-3.25) suggest a dual role in stress response and susceptibility, potentially linked to disrupted DNA methylation and isoprenoid biosynthesis pathways. Furthermore, 43 genes down-regulated by miR9678 were associated with biotic stimulus responses and glucan endo-1,4-beta-glucanase activity, highlighting the complex regulatory networks involved in wheat's defense against <i>F</i>. <i>graminearum</i>. This study reveals the roles of methylation-related genes in susceptible wheat lines 2-2890, providing new insights into their potential impact on pathogen response and plant susceptibility.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13205-024-04179-0.</p>","PeriodicalId":7067,"journal":{"name":"3 Biotech","volume":"15 1","pages":"12"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11649892/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142852050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differences in brain spindle density during sleep between patients with and without type 2 diabetes.","authors":"Deryck Yeung, Amlan Talukder, Min Shi, David M Umbach, Yuanyuan Li, Alison Motsinger-Reif, Janice J Hwang, Zheng Fan, Leping Li","doi":"10.1016/j.compbiomed.2024.109484","DOIUrl":"10.1016/j.compbiomed.2024.109484","url":null,"abstract":"<p><strong>Background: </strong>Sleep spindles may be implicated in sensing and regulation of peripheral glucose. Whether spindle density in patients with type 2 diabetes mellitus (T2DM) differs from that of healthy subjects is unknown.</p><p><strong>Methods: </strong>Our retrospective analysis of polysomnography (PSG) studies identified 952 patients with T2DM and 952 sex-, age- and BMI-matched control subjects. We extracted spindles from PSG electroencephalograms and used rank-based statistical methods to test for differences between subjects with and without diabetes. We also explored potential modifiers of spindle density differences. We replicated our analysis on independent data from the Sleep Heart Health Study.</p><p><strong>Results: </strong>We found that patients with T2DM exhibited about half the spindle density during sleep as matched controls (P < 0.0001). The replication dataset showed similar trends. The patient-minus-control paired difference in spindle density for pairs where the patient had major complications were larger than corresponding paired differences in pairs where the patient lacked major complications, despite both patient groups having significantly lower spindle density compared to their respective control subjects. Patients with a prescription for a glucagon-like peptide 1 receptor agonist had significantly higher spindle density than those without one (P ≤ 0.03). Spindle density in patients with T2DM monotonically decreased as their highest recorded HbA1C level increased (P ≤ 0.003).</p><p><strong>Conclusions: </strong>T2DM patients had significantly lower spindle density than control subjects; the size of that difference was correlated with markers of disease severity (complications and glycemic control). These findings expand our understanding of the relationships between sleep and glucose regulation.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109484"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142766994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-criteria Bayesian optimization of Empirical Mode Decomposition and hybrid filters fusion for enhanced ECG signal denoising and classification: Cardiac arrhythmia and myocardial infarction cases.","authors":"Dounia Bentaleb, Zakaria Khatar","doi":"10.1016/j.compbiomed.2024.109462","DOIUrl":"10.1016/j.compbiomed.2024.109462","url":null,"abstract":"<p><p>This paper introduces a new advanced model for denoising and classification of ECG signals, focusing on the use of a hybrid filter and Bayesian optimization. The hybrid filter synergistically combines enhanced empirical mode decomposition (EEMD), Chebyshev Type II filters, Butterworth, Daubechies Wavelet, and Savitzky-Golay filters, leveraging their respective advantages for effective noise reduction while preserving the essential features of the ECG signal. We employ a multi-criteria Bayesian optimization process, using cross-correlation and mean squared error (MSE) as key metrics, to refine the filter parameters to further improve the signal quality. Additionally, we deploy a residual and parallel deep learning architecture adapted for the precise classification of cardiac conditions, such as arrhythmia and myocardial infarction. The results show a significant improvement in classification accuracy, from 96.63%-97.86% to 97.24%-98.62% after filtering, and reaching 98.03%-99.61% after optimization for arrhythmia. For myocardial infarction, accuracy increases from 96.29%-97.42% to 97.34%-98.44% after filtering, and from 98.13%-99.07% after optimization. This holistic and multi-criteria approach enhances the reliability of medical diagnostics and represents a significant advancement in the processing of biomedical signals.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109462"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}