工程技术最新文献

{"title":"Quantifying bone compaction and implant-bone contact in uncemented total hip arthroplasty through μCT and digital volume correlation: A cadaveric study.","authors":"Vineet Seemala, Mark A Williams, Richard King, Sofia Goia, Paul F Wilson, Arnab Palit","doi":"10.1016/j.compbiomed.2024.109474","DOIUrl":"10.1016/j.compbiomed.2024.109474","url":null,"abstract":"<p><strong>Background: </strong>The stability of uncemented implants during total hip arthroplasty (THA) depends on bone compaction and the bone-implant contact area achieved during the surgical process, particularly during broaching and implantation. However, the evaluation of these factors in actual hip is limited through experimental studies. Therefore, the aim of this study was to quantify bone compaction, and the bone-implant contact area achieved during uncemented THA through a μCT-based cadaveric study of three femur samples.</p><p><strong>Methods: </strong>Three cadaveric femur samples underwent uncemented THA, with μCT scans conducted at intermediate surgical steps. The bone compaction resulting from the surgical process was quantified using two parameters: (a) displacement and strain induced using Digital Volume Correlation (DVC), (b) changes in bone volume fraction (BV/TV) around the bone-implant interface. Furthermore, the bone-implant contact, and its location were evaluated, including an assessment of the robustness and sensitivity of the measurements.</p><p><strong>Results: </strong>The DVC showed that the trabecular bone deformed plastically, with a displacement of 0.09 ± 0.13 mm, a Von-Mises strain of 7082.28 ± 9162.73 με due to the surgical process. Broken trabecular bone accumulated around the bone-implant interface, increasing BV/TV from 3.31 % to 20.69 %. Bone-implant contact (BIC) was limited, ranging from 3.05 % to 5.22 %, but 75.26 %-82.27 % of the maximum potential contact area (PBICA) was achieved. All samples established a three-point contact, and sensitivity analysis revealed a robust BIC calculation with minimal variability of ±0.87 %.</p><p><strong>Conclusion: </strong>The findings offer important insights into bone-implant behaviour during the uncemented THA process. These insights could be useful for physics-based pre-surgical planning to evaluate the stability of uncemented implants and help surgeons choose the most appropriate implants for their patients.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109474"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767096","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":"Biomechanical differences and variability during sustained motorized treadmill running versus outdoor overground running using wearable sensors.","authors":"Alexandra F DeJong Lempke, Adam P Audet, Marni G Wasserman, Amanda C Melvin, Katherine Soldes, Ella Heithoff, Sneh Shah, Kenneth M Kozloff, Adam S Lepley","doi":"10.1016/j.jbiomech.2024.112443","DOIUrl":"10.1016/j.jbiomech.2024.112443","url":null,"abstract":"<p><p>This study aimed to compare running biomechanics and biomechanical variability across 3 run segments and between conditions for 5-km outdoor overground and indoor treadmill running. Seventy-one recreationally-active adults (31F, 40 M; age: 37 ± 11 years; body mass index: 22.9 ± 2.5 kg/m²) completed aerobic fitness assessments at baseline (VO₂max), outdoor overground 5 km runs on a standardized route, and indoor treadmill 5 km runs on a motorized system (12.6 ± 4.9 days apart). Wearable sensors recorded step-by-step spatiotemporal, kinetic, and kinematic biomechanics. Repeated measures analyses of covariance were used to compare mean and coefficient of variation (CV) of sensor-derived metrics across run segments, conditions, and limbs (covariates: pace, VO₂max). Tukey's post-hoc tests with mean differences and Cohen's d effect sizes were used to determine the difference magnitudes across comparisons. Most biomechanical measures significantly differed between running conditions (p < 0.001); contact time (mean difference and standard error: 8 ± 3 ms; d = 0.20), stride length (0.20 ± 0.12 m; d: 0.31), kinetics (shock, impact, braking; 0.17-1.30 g; d-range: 0.36-0.57), and pronation velocity (138 ± 16°/s; d: 0.61) were all higher during indoor treadmill running. Indoor treadmill running biomechanics CV were significantly higher for most measures compared to outdoor overground running (p < 0.001; d-range: 0.18-0.52). Only spatiotemporal measures and CV significantly differed across run segments (d-range: 0.16-0.68). Clinicians should expect that indoor treadmill biomechanics, particularly kinetic and pronation, will be significantly higher than patients' outdoor overground running biomechanics and tailor subsequent recommendations accordingly. Furthermore, clinicians should expect that indoor treadmill running analyses may result in more variable biomechanics, potentially attributed to consistent speed and surface, and tailor assessments to preferred run environments.</p>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"178 ","pages":"112443"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microspheres of stem cells from human exfoliated deciduous teeth exhibit superior pulp regeneration capacity.","authors":"Jianzhao Ding, Zheyi Sun, Liya Ma, Limeiting Wang, Zhenhui Liao, Lu Liang, Hefeng Yang, Rui Mao","doi":"10.1016/j.dental.2024.10.015","DOIUrl":"10.1016/j.dental.2024.10.015","url":null,"abstract":"<p><strong>Objectives: </strong>Engineering spheroids to create three-dimensional (3D) cell cultures has gained increasing attention in recent years due to their potential advantages over traditional two-dimensional (2D) tissue culture methods. Stem cells derived from human exfoliated deciduous teeth (SHEDs) demonstrate significant potential for pulpal regeneration applications. Nevertheless, the feasibility of microsphere formation of SHEDs and its impact on pulpal regeneration remain unclear.</p><p><strong>Methods: </strong>In this study, SHEDs were isolated, identified, and cultured in ultra-low attachment six-well plates to produce SHED microspheres. The biological properties of SHED microspheres were compared to those of traditional 2D culture using live-dead staining, Alizarin red staining, Oil-red O staining, scratch experiments, Immunofluorescence, Transmission electron microscopy scan, Western blotting, RNA sequencing, and a nude mice subcutaneous transplantation model.</p><p><strong>Results: </strong>We found SHED cells can form microspheres with a dense internal structure. SHED microspheres exhibited notable advantages over SHED cells in terms of biological properties, maintaining cell activity and enhancing cell differentiation, migration, and stemness in vitro. RNA-seq revealed that the SHED microspheres potentially influenced cell development, regulation of neurogenesis, skeletal system development, tissue morphogenesis singling pathway. In vivo, SHED microspheres promoted the generation of pulp tissue in dental pulp compared to traditional 2D culture.</p><p><strong>Conclusions: </strong>Microsphereization of SHED through 3D cell culture enhances its pulp regeneration capacity, presenting a novel strategy for dental pulp regeneration and the clinical treatment of dental pulp diseases.</p>","PeriodicalId":298,"journal":{"name":"Dental Materials","volume":" ","pages":"70-80"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142581059","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":"Development of a Polymer Ultrasound Contrast Agent Incorporating Nested Carbon Nanodots.","authors":"Matthew A Shirley, Valeria Arango-Aliaga, Ankit Patel, Brian E Oeffinger, John Eisenbrey, Margaret A Wheatley","doi":"10.1177/01617346241279112","DOIUrl":"10.1177/01617346241279112","url":null,"abstract":"<p><p>Polymer microbubbles have garnered broad interest as potential theranostic agents. However, the capabilities of polymer MBs can be greatly enhanced, particularly regarding the imaging performance and functional versatility of the platform. This study investigates integrating fluorescent carbon nanodots within polylactic acid (PLA) microbubbles. First, the formulations are characterized by their size, microbubble counts, zeta potential, and resonance frequency. Then, the fluorescence capabilities, nanoparticle loading, and acoustic capabilities are examined. Unmodified (U-), carboxylated (C-), and aminated graphene quantum dots (A-GQDs) were separately suspended and synthesized at a 2% w/w ratio with PLA in the organic phase of the water/oil/water double emulsion process. The new microbubbles were characterized using an AccuSizer, Zetasizer, scanning electron microscopy, fluorescence microscopy and fluorimetry, a custom-built acoustic setup, and clinical ultrasound. The GQD microbubbles were sized between 1.4 and 1.9 µm (U = 1.90, C = 1.44, A = 1.72, Unloaded = 2.02 µm). The U-GQD microbubble exhibited a higher bubble concentration/mg PLA (<i>p</i> < .05) and the A-GQD microbubbles exhibited the greatest shift in zeta potential. Electron microscopy revealed smooth surfaces and a spherical shape, showing that the nanoparticle addition was not deleterious. The A-GQD microbubbles were specifically detectable using DAPI-filtering with fluorescence microscopy and had the highest TRITC-filtered fluorescence. The C-GQD microbubbles had the highest loading efficiency at 59.4% (<i>p</i> < .05), and the lowest max acoustic enhancement at 5 MHz (U = 19.8, C = 17.6, A = 18.9, Unloaded = 18.5 dB; <i>p</i> < .05). Additionally, all microbubbles were visible and susceptible to inertial cavitation utilizing clinical ultrasound. The A-GQDs showed promise toward improving the theranostic capabilities of the microbubble platform. They have imbued the most advantageous fluorescence capability and slightly improved backscatter enhancement while retaining all the necessary capabilities of an ultrasound contrast agent. Future studies will investigate the coloading potential of A-GQDs and drug within microbubbles.</p>","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":" ","pages":"45-56"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142299469","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":"Fusing CNNs and attention-mechanisms to improve real-time indoor Human Activity Recognition for classifying home-based physical rehabilitation exercises.","authors":"Moamen Zaher, Amr S Ghoneim, Laila Abdelhamid, Ayman Atia","doi":"10.1016/j.compbiomed.2024.109399","DOIUrl":"10.1016/j.compbiomed.2024.109399","url":null,"abstract":"<p><p>Physical rehabilitation plays a critical role in enhancing health outcomes globally. However, the shortage of physiotherapists, particularly in developing countries where the ratio is approximately ten physiotherapists per million people, poses a significant challenge to effective rehabilitation services. The existing literature on rehabilitation often falls short in data representation and the employment of diverse modalities, limiting the potential for advanced therapeutic interventions. To address this gap, This study integrates Computer Vision and Human Activity Recognition (HAR) technologies to support home-based rehabilitation. The study mitigates this gap by exploring various modalities and proposing a framework for data representation. We introduce a novel framework that leverages both Continuous Wavelet Transform (CWT) and Mel-Frequency Cepstral Coefficients (MFCC) for skeletal data representation. CWT is particularly valuable for capturing the time-frequency characteristics of dynamic movements involved in rehabilitation exercises, enabling a comprehensive depiction of both temporal and spectral features. This dual capability is crucial for accurately modelling the complex and variable nature of rehabilitation exercises. In our analysis, we evaluate 20 CNN-based models and one Vision Transformer (ViT) model. Additionally, we propose 12 hybrid architectures that combine CNN-based models with ViT in bi-model and tri-model configurations. These models are rigorously tested on the UI-PRMD and KIMORE benchmark datasets using key evaluation metrics, including accuracy, precision, recall, and F1-score, with 5-fold cross-validation. Our evaluation also considers real-time performance, model size, and efficiency on low-power devices, emphasising practical applicability. The proposed fused tri-model architectures outperform both single-architectures and bi-model configurations, demonstrating robust performance across both datasets and making the fused models the preferred choice for rehabilitation tasks. Our proposed hybrid model, DenMobVit, consistently surpasses state-of-the-art methods, achieving accuracy improvements of 2.9% and 1.97% on the UI-PRMD and KIMORE datasets, respectively. These findings highlight the effectiveness of our approach in advancing rehabilitation technologies and bridging the gap in physiotherapy services.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109399"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142726599","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":"Using the coefficient of determination to identify injury regions after stroke in pre-clinical FDG-PET images.","authors":"Wuxian He, Hongtu Tang, Jia Li, Xiaoyan Shen, Xuechen Zhang, Chenrui Li, Huafeng Liu, Weichuan Yu","doi":"10.1016/j.compbiomed.2024.109401","DOIUrl":"10.1016/j.compbiomed.2024.109401","url":null,"abstract":"<p><strong>Background: </strong>In the analysis of brain fluorodeoxyglucose positron emission tomography (FDG-PET) images, intensity normalization is a necessary step to reduce inter-subject variability. However, the choice of the most appropriate normalization method in stroke studies remains unclear, as demonstrated by inconsistent findings in the literature.</p><p><strong>Materials and methods: </strong>Here, we propose a regression- and single-subject-based model for analyzing FDG-PET images without intensity normalization. Two independent data sets were collected before and after middle cerebral artery occlusion (MCAO), with one comprising 120 rats and the other 96 rats. After data preprocessing, voxel intensities in the same region and hemisphere were paired before and after the MCAO scan. A linear regression model was applied to the paired data, and the coefficient of determination R² was calculated to measure the linearity. The R² values between the ipsilateral and contralateral hemispheres were compared, and significant regions were defined as those with reduced linearity. Our method was compared with voxel-wise analysis under different intensity normalization methods and validated using the triphenyl tetrazolium chloride (TTC) staining data.</p><p><strong>Results: </strong>The significant regions identified by the proposed method showed a large degree of overlap with the infarcted regions identified by TTC data, as measured by the Dice similarity coefficient (DSC). The average DSC of the proposed method was 59.7%, whereas the DSCs of the existing approaches ranged from 41.4%∼51.3%. Additional validation using receiver operating characteristic (ROC) demonstrated that the area under the curve (AUC) of the average ROC curves reached 0.84 using the proposed method, whereas existing methods achieved AUCs ranging from 0.77∼0.79. The identified regions were consistent across the two independent data sets, and some findings were corroborated by other publications.</p><p><strong>Conclusions: </strong>The proposed model presents a novel quantitative approach for identifying injury regions post-stroke using FDG-PET images. The calculation does not require intensity normalization and can be applied to individual subjects. The method yields more sensitive results compared to existing identification methods.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109401"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142726600","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":"Dynamic modeling of antibody repertoire reshaping in response to viral infections.","authors":"Zhaobin Xu, Qingzhi Peng, Junxiao Xu, Hongmei Zhang, Jian Song, Dongqing Wei, Qiangcheng Zeng","doi":"10.1016/j.compbiomed.2024.109475","DOIUrl":"10.1016/j.compbiomed.2024.109475","url":null,"abstract":"<p><p>For decades, research has largely focused on the generation of high-affinity, antigen-specific antibodies during viral infections. This emphasis has made it challenging for immunologists to systematically evaluate the mechanisms initiating humoral immunity in specific immune responses. In this study, we employ ordinary differential equations (ODE) to investigate the dynamic reshaping of the entire antibody repertoire in response to viral infections. Our findings demonstrate that the host's antibody atlas undergoes significant restructuring during these infections by the selective expansion of antibody pools with strong binding activity. The simulation results indicate that the ELISA (Enzyme-Linked Immunosorbent Assay) outcomes do not directly reflect the levels of specific neutralizing antibodies, but rather represent a quantitative response of the reshaped antibody repertoire following infection. Our model transcends traditional theories of immune memory, providing an explanation for the sustained presence of specific antibodies in the human body in long term. Additionally, our model extends to explore the mechanistic basis of the original antigenic sin, providing practical applications of our framework. One important application of this model is that it indicates that antibodies with a faster forward binding rate are more effective in preventing and treating associated viral infections compared to those with higher binding affinity.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109475"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767003","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":"An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images.","authors":"Klara Mogensen, Valerio Guarrasi, Jenny Larsson, William Hansson, Anders Wåhlin, Lars-Owe Koskinen, Jan Malm, Anders Eklund, Paolo Soda, Sara Qvarlander","doi":"10.1016/j.compbiomed.2024.109457","DOIUrl":"10.1016/j.compbiomed.2024.109457","url":null,"abstract":"<p><p>Higher-Level Gait Disorder (HLGD) is a type of gait disorder estimated to affect up to 6% of the older population. By definition, its symptoms originate from the higher-level nervous system, yet its association with brain morphology remains unclear. This study hypothesizes that there are patterns in brain morphology linked to HLGD. For the first time in the literature, this work investigates whether deep learning, in the form of convolutional neural networks, can capture patterns in magnetic resonance images to identify individuals affected by HLGD. To handle this new classification task, we propose setting up an ensemble of models. This leverages the benefits of combining classifiers instead of determining which network is the most suitable, developing a new architecture, or customizing an existing one. We introduce a computationally cost-effective search algorithm to find the optimal ensemble by leveraging a cost function of both traditional performance scores and the diversity among the models. Using a unique dataset from a large population-based cohort (VESPR), the ensemble identified by our algorithm demonstrated superior performance compared to single networks, other ensemble fusion techniques, and the best linear radiological measure. This emphasizes the importance of implementing diversity into the cost function. Furthermore, the results indicate significant morphological differences in brain structure between HLGD-affected individuals and controls, motivating research about which areas the networks base their classifications on, to get a better understanding of the pathophysiology of HLGD.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109457"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767044","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":"A hybrid capsule attention-based convolutional bi-GRU method for multi-class mental task classification based brain-computer Interface.","authors":"D Deepika, G Rekha","doi":"10.1080/10255842.2024.2410221","DOIUrl":"10.1080/10255842.2024.2410221","url":null,"abstract":"<p><p>Electroencephalography analysis is critical for brain computer interface research. The primary goal of brain-computer interface is to establish communication between impaired people and others <i>via</i> brain signals. The classification of multi-level mental activities using the brain-computer interface has recently become more difficult, which affects the accuracy of the classification. However, several deep learning-based techniques have attempted to identify mental tasks using multidimensional data. The hybrid capsule attention-based convolutional bidirectional gated recurrent unit model was introduced in this study as a hybrid deep learning technique for multi-class mental task categorization. Initially, the obtained electroencephalography data is pre-processed with a digital low-pass Butterworth filter and a discrete wavelet transform to remove disturbances. The spectrally adaptive common spatial pattern is used to extract characteristics from pre-processed electroencephalography data. The retrieved features were then loaded into the suggested classification model, which was used to extract the features deeply and classify the mental tasks. To improve classification results, the model's parameters are fine-tuned using a dung beetle optimization approach. Finally, the proposed classifier is assessed for several types of mental task classification using the provided dataset. The simulation results are compared with the existing state-of-the-art techniques in terms of accuracy, precision, recall, etc. The accuracy obtained using the proposed approach is 97.87%, which is higher than that of the other existing methods.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"90-106"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142479838","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":"Enzymatic characterization of a thermostable 6-phosphogluconate dehydrogenase from <i>Hydrogenobacter thermophilus</i> and its application for NADH regeneration.","authors":"Xinming Feng, Xinyu Cui, Kun Wang, Juanjuan Liu, Dongdong Meng","doi":"10.1007/s13205-024-04165-6","DOIUrl":"10.1007/s13205-024-04165-6","url":null,"abstract":"<p><p>6-Phosphogluconate dehydrogenases (6PGDHs) are widely existing as reduced cofactor (NADH/NADPH) regeneration biocatalysts. Herein, a thermostable 6PGDH from <i>Hydrogenobacter thermophilus</i> (Ht6PGDH) was overexpressed in <i>Escherichia coli</i> and enzymologically characterized. Ht6PGDH exhibited exceptional stability and catalytic activity under high-temperature conditions, with an optimum temperature of 85 °C and the ability to maintain high activity for prolonged periods at 70 °C, which could be purified through a one-step heat treatment. Moreover, Ht6PGDH exhibited a preference for NAD⁺ with a <i>K</i> _m value of 0.4 mM and a <i>k</i> _cat value of 28.6 s⁻¹, demonstrating a significant preference over NADP⁺. These properties render Ht6PGDH a potentially valuable enzyme for high-temperature bioconversion and in vitro synthetic biosystems. Additional research showed that Ht6PGDH excelled in the regeneration of NADH, achieving efficient lactate production when integrated into an in vitro synthetic biosystem containing lactate dehydrogenase (LDH). Furthermore, the cascade reaction of Ht6PGDH with glucose-6-phosphate dehydrogenase (G6PDH) was explored for NADH regeneration using starch as the substrate, further validating its potential application in complex biosynthetic systems.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13205-024-04165-6.</p>","PeriodicalId":7067,"journal":{"name":"3 Biotech","volume":"15 1","pages":"3"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11621248/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142798944","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}