Biomechanics and Modeling in Mechanobiology最新文献

{"title":"Smooth leaflets with curved belly and attachment edge profiles promote adaptive remodeling in tissue-engineered heart valves: an in silico study.","authors":"Valery L Visser, Sarah E Motta, Simon P Hoerstrup, Frank P T Baaijens, Sandra Loerakker, Maximilian Y Emmert","doi":"10.1007/s10237-025-01937-8","DOIUrl":"10.1007/s10237-025-01937-8","url":null,"abstract":"<p><p>Tissue-engineered heart valves (TEHVs) are promising valve replacements due to their potential to regenerate into living heart valves, capable of growth and adaptation. Previous TEHVs showed promising results, but often developed progressive leaflet retraction in the long term. In a prior proof-of-concept study, we demonstrated that a novel geometry with more native-like mechanical behavior could give rise to more adaptive remodeling, thereby minimizing leaflet retraction in vivo. In the current study, we aimed to systematically analyze the impact of TEHV geometry on in vivo remodeling under both pulmonary and aortic conditions. Using a bio-inspired in silico framework, we predicted cell-driven, mechano-mediated remodeling in TEHVs post-implantation. Two parameterized valve designs were evaluated under both pulmonary and aortic pressure conditions. The results indicate that a valve design with smooth leaflets, a curved belly profile, and medium to wide attachment edge effectively minimizes stress concentrations and reduces the risk of valve insufficiency in both conditions. Additionally, this design should be tailored to specific hemodynamic conditions to prevent retraction in pulmonary applications and excessive stress concentrations in aortic applications. These insights provide essential guidelines for optimizing TEHV designs, aiming to promote functional remodeling and maintain valve functionality over time, thereby advancing the development of next-generation TEHVs with enhanced long-term outcomes.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"811-828"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162809/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143778652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review on finite element modelling of finger and hand mechanical behaviour in haptic interactions.","authors":"Gianmarco Cei, Alessio Artoni, Matteo Bianchi","doi":"10.1007/s10237-025-01943-w","DOIUrl":"10.1007/s10237-025-01943-w","url":null,"abstract":"<p><p>Touch perception largely depends on the mechanical properties of the soft tissues of the glabrous skin of fingers and hands. The correct modelling of the stress-strain state of these tissues during the interaction with external objects can provide insights on the exteroceptual mechanisms of human touch, offering design guidelines for artificial haptic systems. However, devising correct models of the finger and hand at contact is a challenging task, due to the biomechanical complexity of human skin. This work presents an overview of the use of Finite Element analysis for studying the stress-strain state in the glabrous skin of the hand, under different loading conditions. We summarize existing approaches for the design and validation of Finite Element models of the soft tissues of the human finger and hand, evaluating their capability to provide results that are valuable in understanding tactile perception. The goal of our work is to serve as a reference and provide guidelines for those approaching this modelling method for the study of human haptic perception.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"895-917"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162383/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143961985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanical characterization and constitutive law of porcine urethral tissues: a hyperelastic fiber model based on a physical approach.","authors":"Quentin De Menech, Andres Osorio Salazar, Quentin Bourgogne, Yoan Civet, Adrien Baldit, Yves Perriard","doi":"10.1007/s10237-025-01951-w","DOIUrl":"10.1007/s10237-025-01951-w","url":null,"abstract":"<p><p>Lower urinary tract symptoms (LUTS), particularly urinary incontinence (UI), represent a significant global health challenge, affecting millions of patients worldwide. The artificial urinary sphincter (AUS) remains one of the most effective intervention for severe UI, with its design relying on a detailed understanding of the urethral biomechanics. Given the ethical and logistical constraints of using human tissue, porcine urethras, which share anatomical and mechanical similarities with human urethras, are widely employed in preclinical studies. This study investigates the uniaxial mechanical characterization of porcine urethral tissue under controlled conditions. Fresh porcine urethral samples were subjected to uniaxial tensile testing along both the longitudinal and circumferential directions to characterize their anisotropic mechanical properties. Experimental results were compared with existing datasets to validate findings. Additionally, conventional hyperelastic models were assessed to fit experimental results, and a novel anisotropic constitutive model with physical parameters was developed. This fiber model, which incorporates fiber modulus, volume, and orientation, uses a single set of parameters to predict behavior in both directions. It demonstrated improved accuracy, reaching the performance of the Gasser-Ogden-Holzapfel (GOH) model, with root mean square errors (RMSEs) of 9.24% and 12.98% in the circumferential and longitudinal directions, respectively. In contrast, the Yeoh and Ogden models were unable to fit both directions using a single set of parameters, yielding RMSEs values exceeding 30%. With its enhanced physical relevance, the fiber model having a more physical meaning holds promise for applications in the biomechanical analysis of fiber-composed soft tissues.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"1031-1042"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162784/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143967724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A cellular-meso-macro three-scale approach captures remodelling of cancellous bone in health and disease.","authors":"Areti Papastavrou, Peter Pivonka, Ina Schmidt, Paul Steinmann","doi":"10.1007/s10237-025-01948-5","DOIUrl":"10.1007/s10237-025-01948-5","url":null,"abstract":"<p><p>Remodelling of cancellous bone due to the combined activity of osteoclasts and osteoblasts at the cellular scale has notable repercussions both at the meso (tissue) as well as the macro (organ) scale. At the meso scale, trabeculae adapt their geometry, typically in terms of their cross section, whereas the nominal bone density evolves at the macro scale, all in response to habitual mechanical loading and its perturbations. To capture this intricate scale coupling, we here propose a novel conceptual three-scale approach to the remodelling of cancellous bone. Therein, we combine a detailed bone cell population model at the cellular scale with an idealised trabecular truss network model with adaptive cross sections, that are driven by the cell population model, at the meso scale, which is eventually upscaled to a continuum bone density adaption model at the macro scale. Algorithmically, we solve the meso and macro problems concurrently within a finite element setting and update the cell activity in a staggered fashion. Our benchmark simulations demonstrate the applicability and effectivity of the three-scale approach to analyse bone remodelling in health and disease (here exemplified for the example of osteoporosis) with rich details, e.g. evolving anisotropy, resolved at each scale.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"975-998"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162746/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stress analysis method for ascending aortic aneurysm based on unloaded geometry with non-uniform thickness distribution.","authors":"Xiaoyu Liu, Zhihong Lin, Shihua Zhao, Fei Li, Qi Gao","doi":"10.1007/s10237-025-01949-4","DOIUrl":"10.1007/s10237-025-01949-4","url":null,"abstract":"<p><p>Using finite element method (FEM) to compute wall stress is now a common way to assess ascending thoracic aortic aneurysms (ATAA) severity. Medical images can provide aortic geometry for FEM, but thickness information is lacked and the geometry is at loaded state. Therefore, in this study, an unloaded geometry with a non-uniform thickness distribution is reconstructed. Measurements of wall thickness are taken from resected tissue to accurately replicate the thickness distribution. Subsequently, a novel method, derived from the existing fixed-point iterative (FPI) approach, is developed and applied to estimate the unloaded aortic geometry. This new method involves updating the relaxation factor at each iteration to improve robustness by constraining it within a threshold and normalizing it. Compared to the traditional FPI method, this novel approach is better tailored to the aortic geometries examined in this study. The study compares stress results obtained from models with uniform and non-uniform aortic wall thickness, both with and without assuming unloaded conditions. Findings indicate that stress distribution of non-uniform geometry matches better to the measured damage extent. Stress distribution of unloaded geometry is similar to that of loaded geometry, while the use of unloaded geometry enhances the stress gradient. The stress analysis reveals variations across different directions and regions, with the second principal stress (SPS) magnitude that is more sensitive to the circumferential region than the first principal stress (FPS) and von Mises stress (VMS). There is an overlap area between the high SPS region and the most expanded region. The most dilated area usually matched with high SPS region for loaded and unloaded geometry or uniform and non-uniform geometry. Thus, although magnitude of SPS is smaller than that of FPS and of VMS, it is suggested to pay more attention to SPS in severity assessment of ATAA aneurysm.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"999-1015"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802173","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":"Advances in computational modeling of cytokine and growth factor dynamics in bone healing: a scoping review.","authors":"Ahmad Hedayatzadeh Razavi, Nazanin Nafisi, Maria Velasquez-Hammerle, Mohammad Javad Shariyate, Mohammad Khak, Alireza Mirahmadi, Megan McNichol, Edward K Rodrogiuez, Ara Nazarian","doi":"10.1007/s10237-025-01938-7","DOIUrl":"10.1007/s10237-025-01938-7","url":null,"abstract":"<p><p>Bone healing is a complex process regulated by intricate biological and mechanical factors and spatially varied regions over time. This scoping review synthesizes current computational models that incorporate cytokines and growth factors, examining their role in bone healing. Through a systematic analysis of 71 studies, this review identifies and categorizes the modeling methodologies used, including mathematical, finite element, agent-based, mechanobiological, pharmacobiological, and hybrid approaches. The findings highlight the predominant use of mathematical models while noting a recent shift toward more sophisticated techniques like finite element and agent-based models. Key cytokines and growth factors, such as TGF-β, RANK-RANKL-OPG, and PTH, are repeatedly used, underscoring their essential roles in regulating cellular processes. This review also analyzes parameter selection and validation strategies, identifying gaps in current practices and emphasizing the need for high-quality experimental validation to improve model reliability. Some bibliometric analyses provide insights into citation networks and keyword co-occurrence, illustrating influential studies in the field and central themes. The findings offer a foundation for future research to enhance model accuracy, aiming toward more predictive and clinically relevant models accounting for biology and mechanics in bone healing.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"761-778"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143630137","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":"Assessment of anisotropic mechanical response of human skin: insights from a clinical trial.","authors":"Aflah Elouneg, Arnaud Lejeune, Gwenaël Rolin, Thomas Lihoreau, Brice Chatelain, Stéphane Bordas, Emmanuelle Jacquet, Jérôme Chambert","doi":"10.1007/s10237-025-01955-6","DOIUrl":"10.1007/s10237-025-01955-6","url":null,"abstract":"<p><p>This paper presents findings from the SKin Uncertainties Modeling (SKUM) clinical trial aimed at assessing the anisotropic mechanical response of human skin using the annular suction test, employing a numerical method and a commercial device, CutiScan^® CS 100. A cohort of 30 healthy volunteers participated in the trial, undergoing in vivo testing on the left forearm through a multi-axial stretch induced by ring suction. Determination of the anisotropy axis was performed using a numerical method based on model fitting of experimental data obtained from oriented elliptic curves, which resulted from the radial deformation of circles. The study evaluates the reproducibility and variability of measurements through an intra-subject study involving five participants, providing insights into the consistency of results within individuals. Additionally, an inter-subject analysis across all subjects offers a comprehensive understanding of anisotropy variability, elucidating broader population tendencies. Furthermore, the study explores correlations between anisotropy and demographic factors such as sex, age, and skin thickness, shedding light on potential influences on skin biomechanics. The analysis showed significant correlations between skin anisotropy and sex, with males displaying a distinct anisotropy axis orientation compared to females. In contrast, no significant associations were found between anisotropy and age among individuals aged 20-50, or between anisotropy and epidermal thickness.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"1085-1102"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144207273","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":"A combined 4D flow MR imaging and fluid-structure interaction analysis of ascending thoracic aortic aneurysms.","authors":"Yu Zhu, Chlöe Armour, Binghuan Li, Selene Pirola, Yousuf Salmasi, Thanos Athanasiou, Declan P O'Regan, Xiao Yun Xu","doi":"10.1007/s10237-025-01939-6","DOIUrl":"10.1007/s10237-025-01939-6","url":null,"abstract":"<p><p>This study aimed to characterize the altered hemodynamics and wall mechanics in ascending thoracic aortic aneurysms (ATAA) by employing fully coupled two-way fluid-structure interaction (FSI) analyses. Our FSI models incorporated hyperelastic wall mechanical properties, prestress, and patient-specific inlet velocity profiles (IVP) extracted from 4D flow magnetic resonance imaging (MRI). By performing FSI analyses on 7 patient-specific ATAA models and 6 healthy aortas, the primary objective of the study was to compare hemodynamic and biomechanical features in ATAA versus healthy controls. A secondary objective was to examine the need for 4D flow MRI-derived IVP in FSI simulations by comparing results with those using two commonly adopted idealized IVPs: Flat-IVP and Para-IVP for selected cases. Our results show that, compared to the healthy aortas, the ATAA models exhibited highly disturbed blood flow in the ascending aorta. Consequently, maximum turbulent kinetic energy (TKE) at peak systole (155.0 ± 188.4 Pa) and maximum time-averaged wall shear stress (TAWSS) (8.6 ± 6.5 Pa) were significantly higher in the ATAA cohort, compared to 0.6 ± 0.5 Pa and 2.8 ± 0.7 Pa in the healthy aortas. Peak wall stress was also nearly doubled in the ATAA group (414 ± 108 kPa vs. 215 ± 31 kPa). Additionally, comparisons of simulation results across models with different IVPs underscore the importance of prescribing 3D-IVP at the inlet, especially for ATAA cases. Using idealized IVPs in two selected ATAA models (P1 and P7) substantially reduced the maximum TKE from 571 Pa to 0.01 Pa (Flat-IVP) and 0.02 Pa (Para-IVP) in P1 and from 73 Pa to 0.01 Pa (Flat-IVP) and 0.08 Pa (Para-IVP) in P7, while the maximum TAWSS in the ascending aorta decreased from 9.6 Pa to 0.7 Pa (Flat-IVP) and 0.9 Pa (Para-IVP) in P1, and from 3.6 Pa to 1.2 Pa and 0.9 Pa, respectively, in P7. Moreover, idealized IVPs also caused the peak wall stress to reduce by up to 11.5% in P1 with severe aortic valve stenosis, and by up to 2% in P7 with mild aortic regurgitation. These results highlight the importance of FSI simulations combined with 4D flow MRI in capturing realistic hemodynamic and biomechanical changes in aneurysmal aortas.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"829-844"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162810/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143603215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surface-based versus voxel-based finite element head models: comparative analyses of strain responses.","authors":"Zhou Zhou, Xiaogai Li, Svein Kleiven","doi":"10.1007/s10237-025-01940-z","DOIUrl":"10.1007/s10237-025-01940-z","url":null,"abstract":"<p><p>Finite element (FE) models of the human head are important injury assessment tools but developing a high-quality, hexahedral-meshed FE head model without compromising geometric accuracy is a challenging task. Important brain features, such as the cortical folds and ventricles, were captured only in a handful of FE head models that were primarily developed from two meshing techniques, i.e., surface-based meshing with conforming elements to capture the interfacial boundaries and voxel-based meshing by converting the segmented voxels into elements with and without mesh smoothing. Despite these advancements, little knowledge existed of how similar the strain responses were between surface- and voxel-based FE head models. This study uniquely addressed this gap by presenting three anatomically detailed models - a surface-based model with conforming meshes to capture the cortical folds-subarachnoid cerebrospinal fluid and brain-ventricle interfaces, and two voxel-based models (with and without mesh smoothing) - derived from the same imaging dataset. All numerical settings in the three models were exactly the same, except for the meshes. These three models were employed to simulate head impacts. The results showed that, when calculating commonly used injury metrics, including the percentile strains below the maximum (e.g., 99 percentile strain) and the volume of brain element with the strain over certain thresholds, the responses of the three models were virtually identical. Different strain patterns existed between the surface- and the voxel-based models at the interfacial boundary (e.g., sulci and gyri in the cortex, regions adjacent to the falx and tentorium) with strain differences exceeding 0.1, but remarkable similarities were noted at the non-interfacial region. The mesh smoothing procedure marginally reduced the strain discrepancies between the voxel- and surface-based model. This study yielded new quantitative insights into the general similarity in the strain responses between the surface- and voxel-based FE head models and underscored that caution should be exercised when using the strain at the interface to predict injury.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"845-864"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162777/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143603230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Femoral bone growth predictions based on personalized multi-scale simulations: validation and sensitivity analysis of a mechanobiological model.","authors":"Willi Koller, Martin Svehlik, Elias Wallnöfer, Andreas Kranzl, Gabriel Mindler, Arnold Baca, Hans Kainz","doi":"10.1007/s10237-025-01942-x","DOIUrl":"10.1007/s10237-025-01942-x","url":null,"abstract":"<p><p>Musculoskeletal function is pivotal to long-term health. However, various patient groups develop torsional deformities, leading to clinical, functional problems. Understanding the interplay between movement pattern, bone loading and growth is crucial for improving the functional mobility of these patients and preserving long-term health. Multi-scale simulations in combination with a mechanobiological bone growth model have been used to estimate bone loads and predict femoral growth trends based on cross-sectional data. The lack of longitudinal data in the previous studies hindered refinements of the mechanobiological model and validation of subject-specific growth predictions, thereby limiting clinical applications. This study aimed to validate the growth predictions using magnetic resonance images and motion capture data-collected longitudinally-from ten growing children. Additionally, a sensitivity analysis was conducted to refine model parameters. A linear regression model based on physical activity information, anthropometric data and predictions from the refined mechanobiological model explained 70% of femoral anteversion development. Notably, the direction of femoral development was accurately predicted in 18 out of 20 femurs, suggesting that growth predictions could help to revolutionize treatment strategies for torsional deformities.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":" ","pages":"879-894"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162800/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143959548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}