Biomedical Engineering and Computational Biology最新文献

{"title":"Screening Biomarkers and Risk Factors for COVID-19 Progression in a Border Population Between Brazil-Bolivia.","authors":"Ana Maísa Passos-Silva, Adrhyan Araújo, Tárcio Peixoto Roca, Jackson Alves da Silva Queiroz, Gabriella Sgorlon, Rita de Cássia Pontello Rampazzo, Juan Miguel Villalobos Salcedo, Juliana Pavan Zuliani, Deusilene Vieira","doi":"10.1177/11795972241298786","DOIUrl":"https://doi.org/10.1177/11795972241298786","url":null,"abstract":"<p><strong>Background: </strong>The performance and genetic role in host response delineate investigative points of polymorphisms as potential biomarkers in viral infections.</p><p><strong>Methods: </strong>Thus, this research aimed to map biomarkers and risk factors in the severity of COVID-19 in individuals in Western Amazon (n = 243).</p><p><strong>Results: </strong>Patients aged 40 to 59 years showed an association with clinical progression (<i>P</i> = .003), also evidencing the relationship for individuals >60 years (<i>P</i> < .001), besides the non-vaccination influenced the pathology (<i>P</i> = .023). qPCR for human genotyping of the targets rs2070788, rs4702, rs76635825, rs540856718, rs35803318, rs12979860, and rs16899066, as well as for gene expression of ACE2, HLA-A, HLA-B, IFNL-3/2, IL-6, and TMPRSS2 was used. The rs12979860 (C > T) and rs2070788 (A > G) showed association among the analyzed groups (<i>P</i> < .05) with the allelic and genotypic frequency of rs12979860 (<i>x</i> ² < 3.84) and evolutionary pointing of rs2070788G allele among infected people, including deaths.</p><p><strong>Conclusion: </strong>Gene expression showed high levels between the moderate and severe groups, with emphasis on TMPRSS2 and IL-6 genes that performed better. Thus, there is possibly an association regarding the role of the TMPRSS2 gene and rs2070788G, as well as age and IL-6 levels for COVID-19, pointing in parallel to the considerable influence of the vaccine on the SARS-CoV-2 pathway.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"16 ","pages":"11795972241298786"},"PeriodicalIF":2.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12044272/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is it Curbing-spread of SARS-CoV-2 Variants by Considering Non-linear Predictive Control?","authors":"Mohadeseh Najafi, Hamidreza Mortazavy Beni, Ashkan Heydarian, Samaneh Sadat Sajjadi, Ahmad Hajipour","doi":"10.1177/11795972251321306","DOIUrl":"https://doi.org/10.1177/11795972251321306","url":null,"abstract":"<p><p>Although SARS-COV-2 started in 2019, its losses are still significant, and it takes victims. In the present study, the epidemic patterns of SARS-COV-2 disease have been investigated from the point of view of mathematical modeling. Also, the effect of quarantine has been considered. This mathematical model is designed in the form of fractional calculations along with a model predictive control (MPC) to monitor this model. The fractional-order model has the memory and hereditary properties of the system, which can provide more adjustable parameters to the designer. Because the MPC can predict future outputs, it can overcome the conditions and events that occur in the future. The results of the simulations show that the proposed nonlinear model predictive controller (NMPC) of fractional-order has a lower mean squared error in susceptible people compared to the optimal control of fractional-order (~3.6e-04 vs. 47.4). This proposed NMPC of fractional-order can be used for other models of epidemics.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"16 ","pages":"11795972251321306"},"PeriodicalIF":2.3,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12033554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144001695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can Smart Alloy Material Improve the Biomechanical Behavior of Prostheses Used in the Human Trachea? A Fluid-Structure Interaction Approach.","authors":"Hamidreza Mortazavy Beni","doi":"10.1177/11795972251330678","DOIUrl":"https://doi.org/10.1177/11795972251330678","url":null,"abstract":"<p><strong>Background and objective: </strong>The Shape-Memory Alloy (SMA) or smart alloy stent can be used in the upper respiratory system by reducing problems such as changing the shape according to the actual conditions of the body compared to other stents.</p><p><strong>Methods: </strong>In this study, the behavior of 2 types of SMA stents with different metallurgical properties was studied using the Finite Element Method (FEM). Tracheal geometry was obtained from CT images of a healthy man. Then, a computational model of a real human trachea was selected to analyze the deformation of the trachea after implantation of the prosthesis. Finally, it was analyzed under the maximum average static pressure of the entrance to the trachea using the Fluid-Structure Interaction (FSI) approach. A mesh based on unstructured elements for air and structured elements for the tracheal wall was created to perform simulations using ANSYS software.</p><p><strong>Results: </strong>The deformation of the stent was compared and analyzed with the deformation of the healthy trachea in the absence of the stent. The results presented that the most deformation in the trachea before stenting is up to 8.3 mm. The behavior of SMA2 with a deformation of 5.8 mm was more consistent with the deformation conditions of the trachea for real body conditions without the presence of a stent.</p><p><strong>Conclusions: </strong>As much as the deformation is reduced by the degree of stress concentration at the connection point of the stent to the trachea, the risks of stent displacement and patient suffocation are avoided.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"16 ","pages":"11795972251330678"},"PeriodicalIF":2.3,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12033672/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Potential Drugs Targeting Acute Pancreatitis Based on the HLA-DR-Related Gene-Monocyte Infiltration Regulatory Network.","authors":"Wei Xu, Lan Hu, Shengyi Shi, Jie Gao, Jing Ye, Yiming Lu","doi":"10.1177/11795972251328458","DOIUrl":"10.1177/11795972251328458","url":null,"abstract":"<p><strong>Background: </strong>Acute pancreatitis (AP) is a common disease of acute abdominal pain, the incidence of which is increasing annually, but its pathogenesis remains incompletely understood.</p><p><strong>Methods: </strong>Gene expression profiles of AP were obtained from the Gene Expression Omnibus (GEO) database. R software was used to identify differentially expressed genes (DEGs) and perform functional analysis. The diagnostic value of HLA-DR-related genes was assessed by receiver operating characteristic (ROC) curves. Monocyte infiltration abundance in AP and normal groups was analyzed by Cibersort method, and the correlation between HLA-DR-related genes and monocyte abundance was analyzed. The modules highly correlated with HLA-DR-related genes were clarified by WGCNA modeling, and the core genes regulating HLA-DR were obtained by using LASSO regression. Finally, potential drugs targeting the above genes were analyzed by Enrichr database.</p><p><strong>Result: </strong>A Total of 3 HLA-DR-related genes (HLA-DRA, HLA-DRB1, and HLA-DRB5) were identified, which were negatively correlated with the severity of AP and had excellent disease diagnostic value (AUC = 0.761, 0.761, and 0.718), were were positively correlated with monocyte abundance. We identified 110 genes that positively regulate HLA-DR and 130 genes that negatively regulate HLA-DR. LASSO regression identified UCP2, GK, and SAMHD1 as the core nodes of the regulated genes. Compared with the normal group, UCP2 and SAMHD1 were reduced in AP, and the opposite was true for GK, and SAMHD1 had better sensitivity and specificity in diagnosing AP. Drug sensitivity analysis predicted 12 drugs acting on HLA-DRA, HLA-DRB1, and HLA-DRB5 and 8 drugs acting on UCP2, GK, and SAMHD1.</p><p><strong>Conclusion: </strong>We identified 3 HLA-DR-related genes (HLA-DRA, HLA-DRB1, and HLA-DRB5) and 3 coregulatory nodes (UCP2, GK, and SAMHD1), which were associated with AP severity and monocyte abundance. Based on these genes, we predicted 20 potential therapeutic agents for AP.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"16 ","pages":"11795972251328458"},"PeriodicalIF":2.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11956513/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biomechanical Evaluation of Cervical Interbody Fusion Cages for Anterior Cervical Discectomy and Fusion With Variations in Morphology: A Finite Element Analysis.","authors":"Pechimuthu Susai Manickam, Raja Dhason, Ryan Bock, Sonny Bal, Sandipan Roy, Shubhabrata Datta","doi":"10.1177/11795972251321307","DOIUrl":"10.1177/11795972251321307","url":null,"abstract":"<p><p>The spinal diseases commonly faced by people in the 19th century included intervertebral disc degeneration, tuberculosis and congenital defects that resulted in neurological impairment and global disability. To address these issues, cervical spine surgery was performed. Modern techniques currently used in spine surgery include interbody devices, pedicle screws, artificial discs and bone grafts. The postoperative complications clinically reported during follow-up include nonunion and implant subsidence, which remain significant drawbacks. The objective of this study is to develop a 3-dimensional finite element model of the C2-C7 cervical spine and validate it against existing experimental studies. The loading conditions considered for this study include a compressive preload of 50 N and a 1 Nm moment applied to the C2 vertebra, with the C7 vertebra fixed at the bottom. In this study, the biomechanical alterations of 4 different cage morphologies were analysed using finite element analysis. Valeo cages with 4 distinct designs were implanted at the C5-C6 level, and physiological motion at the surgical site was studied. Cage subsidence and migration, which can lead to adjacent segment disc degeneration, were also examined. Subsidence was primarily attributed to higher stress encountered in the cage, so stress distribution within the cages was evaluated. Additionally, stress distribution in the anterior plate and screws was analysed. The study concludes that introducing anterior plate and screw fixation helps prevent cage subsidence. Physiological motion at the surgical level was reduced compared to the intact model. Adjacent disc stress was also evaluated and found to be lower than in the intact model.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"16 ","pages":"11795972251321307"},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11915299/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PEDI: Towards Efficient Pathway Enrichment and Data Integration in Bioinformatics for Healthcare Using Deep Learning Optimisation.","authors":"Hariprasath Manoharan, Shitharth Selvarajan","doi":"10.1177/11795972251321684","DOIUrl":"https://doi.org/10.1177/11795972251321684","url":null,"abstract":"<p><p>This work presents an enhanced identification procedure utilising bioinformatics data, employing optimisation techniques to tackle crucial difficulties in healthcare operations. A system model is designed to tackle essential difficulties by analysing major contributions, including risk factors, data integration and interpretation, error rates and data wastage and gain. Furthermore, all essential aspects are integrated with deep learning optimisation, encompassing data normalisation and hybrid learning methodologies to efficiently manage large-scale data, resulting in personalised healthcare solutions. The implementation of the suggested technology in real time addresses the significant disparity between data-driven and healthcare applications, hence facilitating the seamless integration of genetic insights. The contributions are illustrated in real time, and the results are presented through simulation experiments encompassing 4 scenarios and 2 case studies. Consequently, the comparison research reveals that the efficacy of bioinformatics for enhancing routes stands at 7%, while complexity diminish to 1%, thereby indicating that healthcare operations can be transformed by computational biology.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"16 ","pages":"11795972251321684"},"PeriodicalIF":2.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11869251/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143543873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geometric Deep learning Prioritization and Validation of Cannabis Phytochemicals as Anti-HCV Non-nucleoside Direct-acting Inhibitors.","authors":"Ssemuyiga Charles, Mulumba Pius Edgar","doi":"10.1177/11795972241306881","DOIUrl":"10.1177/11795972241306881","url":null,"abstract":"<p><strong>Introduction: </strong>The rate of acute hepatitis C increased by 7% between 2020 and 2021, after the number of cases doubled between 2014 and 2020. With the current adoption of pan-genotypic HCV therapy, there is a need for improved availability and accessibility of this therapy. However, double and triple DAA-resistant variants have been identified in genotypes 1 and 5 with resistance-associated amino acid substitutions (RAASs) in NS3/4A, NS5A, and NS5B. The role of this research was to screen for novel potential NS5B inhibitors from the cannabis compound database (CBD) using Deep Learning.</p><p><strong>Methods: </strong>Virtual screening of the CBD compounds was performed using a trained Graph Neural Network (GNN) deep learning model. Re-docking and conventional docking were used to validate the results for these ligands since some had rotatable bonds >10. About 31 of the top 67 hits from virtual screening and docking were selected after ADMET screening. To verify their candidacy, 6 random hits were taken for FEP/MD and Molecular Simulation Dynamics to confirm their candidacy.</p><p><strong>Results: </strong>The top 200 compounds from the deep learning virtual screening were selected, and the virtual screening results were validated by re-docking and conventional docking. The ADMET profiles were optimal for 31 hits. Simulated complexes indicate that these hits are likely inhibitors with suitable binding affinities and FEP energies. Phytil Diphosphate and glucaric acid were suggested as possible ligands against NS5B.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"15 ","pages":"11795972241306881"},"PeriodicalIF":2.3,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11638990/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142829665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated High-Throughput Live Cell Monitoring of Scratch Wound Closure.","authors":"Kevin Schmidt, Dominik Lerm, Arne Schmidt, Nicholas Dickel, Jan Fiedler, Thomas Thum, Meik Kunz","doi":"10.1177/11795972241295619","DOIUrl":"https://doi.org/10.1177/11795972241295619","url":null,"abstract":"<p><strong>Background: </strong>Angiogenesis and regenerative wound healing rely on the promotion of distinct endothelial cell phenotypes exhibiting increased migratory capacity. Monitoring of these hallmark events in vitro is invaluable for discovering novel therapeutics. However, respective methods often lack a high-throughput character or accurate analysis tools, which are essential for effective screening suitability.</p><p><strong>Methods and results: </strong>We stained nuclei of confluent human umbilical vein endothelial cells with Hoechst33342 prior to induction of an artificial scratch wound. Treatments with various growth factors and several concentrations of nintedanib were performed to microscopically evaluate impacts on wound closure. We developed 2 tools for automated analysis of wound closure image sets. Utilizing cell-free area measuring or cellular density evaluation, respectively, migration behavior was assessed well-wise for each time point. We identified pro-migratory effects of interleukin 1β as well as inhibitory actions of nintedanib. Hoechst33342 staining allowed for cell counting which was excluded as a contributing factor to wound closure in our assay.</p><p><strong>Conclusion: </strong>We developed a cost-effective, high-throughput pipeline for monitoring cell migration in vitro. We believe that our protocol will accelerate pre-clinical screenings not only for medications targeting endothelial wound closure but also drug discovery research in a broad range of diseases involving cellular migration.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"15 ","pages":"11795972241295619"},"PeriodicalIF":2.3,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12032466/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computer-Aided Discovery of <i>Abrus precatorius</i> Compounds With Anti-Schistosomal Potential.","authors":"Ryman Shoko, Allen Mazadza","doi":"10.1177/11795972241294112","DOIUrl":"https://doi.org/10.1177/11795972241294112","url":null,"abstract":"<p><p>Schistosomiasis, which causes over 200 000 deaths annually, has since the 1970s been controlled by praziquintel. The reliance on a single drug to combat schistosomiasis, and reports of laboratory resistance to the drug, has created an urgent need in the scientific community to develop new chemotherapies to complement or supplement praziquantel. Medicinal plants are a potential reservoir of compounds with schistosomicidal activity. In the current study, we carried out computer-aided screening of <i>Abrus precatorius</i> compounds to discover compounds with potential to inhibit <i>Schistosoma mansoni</i> purine nucleoside phosphorylase (<i>Sm</i>PNP). Thus, 99 compounds retrieved from Lotus Natural Compounds Database were docked into the active site of <i>Sm</i>PNP. The top-ranked compounds were subjected to Lipinski's druglikeness and toxicity risk predictions. Three lead compounds, abrusogenin, cirsimaritin and hispidulin, were identified as having high binding affinities, favourable interactions with <i>Sm</i>PNP active site residues and good toxicity risk prediction results. Molecular dynamics (MD) simulations were used to assess the stability of the interactions of these lead compounds with <i>Sm</i>PNP. Collectively, analyses of the MD trajectories confirms that the lead compounds bound and interacted stably with active site residues of <i>Sm</i>PNP. We conclude that abrusogenin, cirsimaritin and hispidulin could serve as hit compounds for the development of new antischistosomal drugs, based on plant-derived natural products. However, experimental studies are required to further evaluate the potentials of these compounds as possible therapeutics against schistosomiasis.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"15 ","pages":"11795972241294112"},"PeriodicalIF":2.3,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11552047/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142629718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthesis and Application of Sustainable Tricalcium Phosphate Based Biomaterials From Agro-Based Materials: A Review.","authors":"Isiaka Oluwole Oladele, Samson Ademola Adekola, Newton Itua Agbeboh, Baraka Abiodun Isola-Makinde, Benjamin Omotayo Adewuyi","doi":"10.1177/11795972241293525","DOIUrl":"https://doi.org/10.1177/11795972241293525","url":null,"abstract":"<p><p>Trends in health care delivery systems have shifted as a result of the modern uses of biomaterials in medicine. Contrary to traditional medicine, modern healthcare are now useful in solving problems that were considered impossible some years back. One of the most significant factors to the most recent advancements in implant development has been the use of calcium based materials in the creation of necessary implants in the form of soft and hard tissues. With the advent of naturally sourced materials in the manufacturing of biomaterials, lots of attention are now focused on the different sources of agro-based resources that can be used for the product developments. These agro-based materials are now been considered for sustainable and ecological purposes in several areas of applications globally in the recent times. Hence, the review was carried out with focus on the sources, relevance, processing techniques and applications of tricalcium phosphate based biomaterials in modern day healthcare delivery. This review provides a historical and prospective picture of the crucial functions that materials based on tricalcium phosphate will play in fulfilling human requirements for medication.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"15 ","pages":"11795972241293525"},"PeriodicalIF":2.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11544672/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142629719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}