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  • Hindawi Limited  (20)
  • 1
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    Online Resource
    Proteome Changes of Human Bone Marrow Mesenchymal Stem Cells Induced by 1,4-Benzoquinone
    Hindawi Limited ; 2016
    In:  BioMed Research International Vol. 2016 ( 2016), p. 1-15
    Details
    In: BioMed Research International, Hindawi Limited, Vol. 2016 ( 2016), p. 1-15
    Abstract: Benzene is metabolized to hydroquinone in liver and subsequently transported to bone marrow for further oxidization to 1,4-benzoquinone (1,4-BQ), which may be related to the leukemia and other blood disorders. In the present study, we investigated the proteome profiles of human primary bone marrow mesenchymal stem cells (hBM-MSCs) treated by 1,4-BQ. We identified 32 proteins that were differentially expressed. Two of them, HSP27 and Vimentin, were verified at both mRNA and protein levels and their cellular localization was examined by immunofluorescence. We also found increased mRNA level of RAP1GDS1, a critical factor of metabolism that has been identified as a fusion partner in various hematopoietic malignancies. Therefore, these differentially expressed proteins can play important roles in benzene-mediated hematoxicity.
    Type of Medium: Online Resource
    ISSN: 2314-6133 , 2314-6141
    URL: Article
    DOI: 10.1155/2016/2789245
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2016
    detail.hit.zdb_id: 2698540-8
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  • 2
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    The Prognostic Value of Domain-Specific Cognitive Abilities Assessed by Chinese Version of Oxford Cognitive Screen on Determining ADLs Recovery in Patients with Post-Stroke Cognitive Impairment
    Hindawi Limited ; 2022
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2022 ( 2022-9-6), p. 1-10
    Details
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2022 ( 2022-9-6), p. 1-10
    Abstract: Background. Poststroke cognitive impairment (PSCI) has been increasingly recognized in patients. However, it remains unclear whether ADLs recovery is more susceptible to domain-specific cognitive abilities after a stroke. Therefore, the study was designed to investigate the cognitive functions of patients with PSCI at admission by using the Chinese (Putonghua) Version of the Oxford Cognitive Screen (OCS-P) as well as to identify the prognostic value of domain-specific cognitive abilities on the recovery of ADLs when discharged. Methods. A total of 153 hospitalized stroke patients were included in this prospective study. Cognitive function was assessed by OCS-P when participants were admitted to the hospital. The ADLs were measured at admission and discharge, and recovery was estimated by the improvement between admission and discharge. A diagnostic model using logistic regression was constructed to identify the prognostic value of domain-specific cognitive abilities for ADLs. The efficacy and accuracy of the diagnostic model were assessed by receiver operating characteristic (ROC) and Hosmer-Lemeshow’s goodness of fit test. The diagnostic model was validated by 10-fold cross-validation and presented as a nomogram. Results. The score of OCS-P was 60(49.75, 69). The most frequently impaired cognitive domain was number writing (60.8%), followed by verbal memory (52.9%). Multivariate logistic regression showed executive dysfunction was a risk prognostic factor of ADLs recovery ( P 〈 0.001 , OR = 3.176 [95% CI, 1.218∼8.278]). The ROC curve of the diagnostic model was 0.839, with a good diagnostic efficacy. Hosmer–Lemeshow test showed diagnostic model had good calibration ability (χ2 = 8.939.3, P = 0.347 〉 0.05 ). The average error rate after adjustment of 10-fold cross-validation was 20.93%, within the acceptable range. Conclusions. Post-stroke patients generally suffered from multidimensional cognitive impairments. Executive dysfunction screened with OCS-P at clinical admission was a reliable and accessible predictive factor ADLs recovery in patients with PSCI. Early targeted rehabilitation programs are suggested to make them as earlier as possible, especially for those having executive dysfunction while hospitalized.
    Type of Medium: Online Resource
    ISSN: 1741-4288 , 1741-427X
    URL: Article
    DOI: 10.1155/2022/1084901
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2148302-4
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  • 3
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    Influences of Realgar- Indigo naturalis , A Traditional Chinese Medicine Formula, on the Main CYP450 Activities in Rats Using a Cocktail Method
    Hindawi Limited ; 2017
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2017 ( 2017), p. 1-9
    Details
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2017 ( 2017), p. 1-9
    Abstract: The purpose of this work was to study the influences of Realgar- Indigo naturalis (RIF) and its principal element realgar on 4 main cytochrome P450 enzymes activities in rats. A simple and efficient cocktail method was developed to detect the four probe drugs simultaneously. In this study, Wistar rats were administered intragastric RIF and realgar for 14 days; mixed probe drugs were injected into rats by caudal vein. Through analyzing the pharmacokinetic parameter of mixed probe drugs in rats, we can calculate the CYPs activities. The results showed that RIF could inhibit CYP1A2 enzyme activity and induce CYP2C11 enzyme activity significantly. Interestingly, in realgar high dosage group, CYP3A1/2 enzyme activity was inhibited significantly, and different dosage of realgar manifested a good dose-dependent manner. The RIF results indicated that drug coadministrated with RIF may need to be paid attention in relation to drug-drug interactions (DDIs). Realgar, a toxic traditional Chinese medicine (TCM), does have curative effect on acute promyelocytic leukemia (APL). Its toxicity studies should be focused on. We found that, in realgar high dosage group, CYP3A1/2 enzymes activity was inhibited. This phenomenon may explain its potential toxicity mechanism.
    Type of Medium: Online Resource
    ISSN: 1741-427X , 1741-4288
    URL: Article
    DOI: 10.1155/2017/2374624
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2148302-4
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  • 4
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    Improving Image Quality and Reducing Scan Time for Synthetic MRI of Breast by Using Deep Learning Reconstruction
    Hindawi Limited ; 2022
    In:  BioMed Research International Vol. 2022 ( 2022-8-26), p. 1-9
    Details
    In: BioMed Research International, Hindawi Limited, Vol. 2022 ( 2022-8-26), p. 1-9
    Abstract: Objectives. To investigate a deep learning reconstruction algorithm to reduce the time of synthetic MRI (SynMRI) scanning on the breast and improve the image quality. Materials and Methods. A total of 192 healthy female volunteers (mean age: 48.1 years) underwent the breast MR examination at 3.0 T from September 2020 to June 2021. Standard SynMRI and fast SynMRI scans were collected simultaneously on the same volunteer. Deep learning technology with a generative adversarial network (GAN) was used to generate high-quality fast SynMRI images by end-to-end training. Peak signal-to-noise ratio (PSNR), mean squared error (MSE), and structural similarity index measure (SSIM) were used to compare the image quality of generated images from fast SynMRI by deep learning algorithms. Results. Fast SynMRI acquisition time is half of the standard SynMRI scan, and the generated images of the GAN model show that PSNR and SSIM are improved and MSE is reduced. Conclusion. The application of deep learning algorithms with GAN model in breast MAGiC MRI improves the image quality and reduces the scanning time.
    Type of Medium: Online Resource
    ISSN: 2314-6141 , 2314-6133
    URL: Article
    DOI: 10.1155/2022/3125426
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2698540-8
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  • 5
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    UTP14A, DKC1, DDX10, PinX1, and ESF1 Modulate Cardiac Angiogenesis Leading to Obesity-Induced Cardiac Injury
    Hindawi Limited ; 2022
    In:  Journal of Diabetes Research Vol. 2022 ( 2022-6-13), p. 1-13
    Details
    In: Journal of Diabetes Research, Hindawi Limited, Vol. 2022 ( 2022-6-13), p. 1-13
    Abstract: Background. This study is aimed at exploring the key genes and the possible mechanism of heart damage caused by obesity. Methods. We analyzed the GSE98226 dataset. Firstly, differentially expressed genes (DEGs) were identified in heart tissues of obese and normal mice. Then, we analyzed DEGs using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Thirdly, we constructed a protein-protein interaction (PPI) network and key modules and searched hub genes. Finally, we observed the pathological changes associated with obesity through histopathology. Results. A total of 763 DEGs were discovered, including 629 upregulated and 134 downregulated genes. GO enrichment analysis showed that these DEGs were mainly related to the regulation of transcription, DNA-templated, nucleic acid binding, and metal ion binding. KEGG pathway analysis revealed that the DEGs were enriched in long-term depression, gap junction, and sphingolipid signaling pathways. Finally, we identified UTP14A, DKC1, DDX10, PinX1, and ESF1 as the hub genes. Histopathologic analysis showed that obesity increased the number of collagen fibers and decreased the number of microvessels and proliferation of the endothelium and increased endothelial cell damage which further leads to dysfunction of cardiac microcirculation. Conclusion. UTP14A, DKC1, DDX10, PinX1, and ESF1 have been identified as hub genes in obesity-induced pathological changes in the heart and may be involved in obesity-induced cardiac injury by affecting cardiac microcirculatory function.
    Type of Medium: Online Resource
    ISSN: 2314-6753 , 2314-6745
    URL: Article
    DOI: 10.1155/2022/2923291
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2711897-6
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  • 6
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    Multi-Flexible Body Dynamics Modeling and Experimental Study of the Patient Rehabilitation Transfer Device
    Hindawi Limited ; 2022
    In:  Applied Bionics and Biomechanics Vol. 2022 ( 2022-10-14), p. 1-10
    Details
    In: Applied Bionics and Biomechanics, Hindawi Limited, Vol. 2022 ( 2022-10-14), p. 1-10
    Abstract: Objectives. The patient rehabilitation transfer device is a typical personnel transfer equipment, which is mainly composed of outriggers, support arm, lifting arms, hooks, handrails, hydraulic cylinders, and other components. The existing research on the device is mainly focused on the configuration design and transfer mode, and the research on its dynamic characteristics during the transfer process has not been thoroughly discussed. Methodology. Based on the existing research, a portable hydraulic rehabilitation patient transfer device has been developed. Then the multi-rigid body dynamic and finite element flexible body models were established. Next, the dynamic characteristic difference between the two models of the device was studied. Results. As shown in the results, the finite element multi-flexible body model has obvious flexible vibration in the lifting stage, and the amplitude reaches 16 mm in the motion startup stage due to the influence of rigid-flexible coupling. The tip acceleration of the flexible body model was also influenced by the vibration, and the maximum acceleration value reaches 0.06 m/s2. According to the test results, the maximum acceleration of the terminal reaches 0.05 m/s2, which is close to the finite-element multi-flexible model simulation results. The experimentally measured natural frequency of the device is 3.1 Hz, which is also close to 3.2 Hz calculated by the simulation. Because the flexible component in the flexible model is only the lift arm, the natural frequency is slightly larger than the experimental value. Conclusion. According to the stress value of the finite element multi-body model motion process, the maximum stress appears at the moment when the motion reaches the top end, and the instantaneous stress reaches 206 Mpa, which is in line with the allowable stress range of the material design. The data obtained in this study will provide help for the follow-up clinical rehabilitation and intelligent device research.
    Type of Medium: Online Resource
    ISSN: 1754-2103 , 1176-2322
    URL: Article
    DOI: 10.1155/2022/6610753
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2179924-6
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  • 7
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    Effects of Combined Simultaneous and Sequential Endostar and Cisplatin Treatment in a Mice Model of Gastric Cancer Peritoneal Metastases
    Hindawi Limited ; 2017
    In:  Gastroenterology Research and Practice Vol. 2017 ( 2017), p. 1-7
    Details
    In: Gastroenterology Research and Practice, Hindawi Limited, Vol. 2017 ( 2017), p. 1-7
    Abstract: Objective . Aimed to study the effects of endostar and cisplatin using an in vivo imaging system (IVIS) in a model of peritoneal metastasis of gastric cancer. Methods . NUGC-4 gastric cancer cells transfected with luciferase gene (NUGC-4-Luc) were injected i.p. into nude mice. One week later, mice were randomly injected i.p.: group 1, cisplatin (d1–3) + endostar (d4–7); group 2, endostar (d1–4) + cisplatin (d5–7); group 3, endostar + cisplatin d1, 4, and 7; group 4, saline for two weeks. One week after the final administration, mice were sacrificed. Bioluminescent data, microvessel density (MVD), and lymphatic vessel density (LVD) were analyzed. Results . Among the four groups, there were no significant differences in the weights and in the number of cancer cell photons on days 1 and 8 ( P 〉 0.05 ). On day 15, the numbers in groups 3 and 1 were less than that in group 2 ( P 〈 0.05 ). On day 21, group 3 was significantly less than group 2 ( P 〈 0.05 ). MVD of group 4 was less than that of groups 1 and 2 ( P 〈 0.01 ). There was no significant difference between groups 2 and 3 ( P 〉 0.05 ) or in LVD number among the four groups ( P 〉 0.05 ). Conclusions . IVIS® was more useful than weight, volume of ascites, and number of peritoneal nodules. The simultaneous group was superior to sequential groups in killing cancer cells and inhibiting vascular endothelium. Cisplatin-endostar was superior to endostar-cisplatin in killing cancer cells, while the latter in inhibiting peritoneal vascular endothelium.
    Type of Medium: Online Resource
    ISSN: 1687-6121 , 1687-630X
    URL: Article
    DOI: 10.1155/2017/2920384
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2435460-0
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  • 8
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    Quantification of pressure‐induced γ‐crystals in isotactic polypropylene: The influence of shear and carbon nanotubes
    Hindawi Limited ; 2018
    In:  POLYMER CRYSTALLIZATION Vol. 1, No. 1 ( 2018-06)
    Details
    In: POLYMER CRYSTALLIZATION, Hindawi Limited, Vol. 1, No. 1 ( 2018-06)
    Type of Medium: Online Resource
    ISSN: 2573-7619 , 2573-7619
    URL: Issue
    URL: Article
    DOI: 10.1002/pcr2.v1.1
    DOI: 10.1002/pcr2.10002
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2018
    detail.hit.zdb_id: 2920375-2
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  • 9
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    Intravenous Injections of Human Mesenchymal Stromal Cells Modulated the Redox State in a Rat Model of Radiation Myelopathy
    Hindawi Limited ; 2015
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2015 ( 2015), p. 1-6
    Details
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2015 ( 2015), p. 1-6
    Abstract: The main aim of the present study was to assess the antioxidative effects of human umbilical cord-derived mesenchymal stromal cells (UC-MSCs) in a rat model of radiation myelopathy. UC-MSCs were isolated from Wharton’s jelly (WJ) of umbilical cords. An irradiated cervical spinal cord rat model (C2-T2 segment) was generated using a 60 Co irradiator to deliver 30 Gy of radiation. UC-MSCs were injected through the tail vein at 90 days, 97 days, 104 days, and 111 days after-irradiation. Histological damage was examined by cresyl violet/Nissl staining. The activities of two antioxidant enzymes catalase (CAT) and glutathione peroxidase (GPX) in the spinal cord were measured by the biomedical assay. In addition, the levels of vascular endothelial growth factor (VEGF) and angiopoietin-2 (Ang-2) in the spinal cord were determined by ELISA methods. Multiple injections of UC-MSCs through the tail vein ameliorated neuronal damage in the spinal cord, increased the activities of the antioxidant enzymes CAT and GPX, and increased the levels of VEGF and Ang-2 in the spinal cord. Our results suggest that multiple injections of UC-MSCs via the tail vein in the rat model of radiation myelopathy could significantly improve the antioxidative microenvironment in vivo.
    Type of Medium: Online Resource
    ISSN: 1741-427X , 1741-4288
    URL: Article
    DOI: 10.1155/2015/432369
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2148302-4
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  • 10
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    Learning-Based Detection for Malicious Android Application Using Code Vectorization
    Hindawi Limited ; 2021
    In:  Security and Communication Networks Vol. 2021 ( 2021-8-19), p. 1-11
    Details
    In: Security and Communication Networks, Hindawi Limited, Vol. 2021 ( 2021-8-19), p. 1-11
    Abstract: The malicious APK (Android Application Package) makers use some techniques such as code obfuscation and code encryption to avoid existing detection methods, which poses new challenges for accurate virus detection and makes it more and more difficult to detect the malicious code. A report indicates that a new malicious app for Android is created every 10 seconds. To combat this serious malware activity, a scalable malware detection approach is needed, which can effectively and efficiently identify the malware apps. Common static detection methods often rely on Hash matching and analysis of viruses, which cannot quickly detect new malicious Android applications and their variants. In this paper, a malicious Android application detection method is proposed, which is implemented by the deep network fusion model. The hybrid model only needs to use the sample training model to achieve high accuracy in the identification of the malicious applications, which is more suitable for the detection of the new malicious Android applications than the existing methods. This method extracts the static features in the core code of the Android application by decompiling APK files, then performs code vectorization processing, and uses the deep learning network for classification and discrimination. Our experiments with a data set containing 10,170 apps show that the decisions from the hybrid model can increase the malware detection rate significantly on a real device, which verifies the superiority of this method in the detection of malicious codes.
    Type of Medium: Online Resource
    ISSN: 1939-0122 , 1939-0114
    URL: Article
    DOI: 10.1155/2021/9964224
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2415104-X
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