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  • Hindawi Limited  (4)
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  • Hindawi Limited  (4)
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  • 1
    In: BioMed Research International, Hindawi Limited, Vol. 2014 ( 2014), p. 1-12
    Abstract: Background Information . NF- κ B signaling pathway plays a complicated role in the biological functions of mesenchymal stem cells. However, the effects of NF- κ B pathway on the odonto/osteogenic differentiation of stem cells from apical papilla (SCAPs) remain unclear. The present study was designed to evaluate the effects of canonical NF- κ B pathway on the osteo/odontogenic capacity of SCAPs in vitro . Results . Western blot results demonstrated that NF- κ B pathway in SCAPs was successfully activated by TNF- α or blocked by BMS-345541. NF- κ B pathway-activated SCAPs presented a higher proliferation activity compared with control groups, as indicated by dimethyl-thiazol-diphenyl tetrazolium bromide assay (MTT) and flow cytometry assay (FCM). Wound scratch assay revealed that NF- κ B pathway-activated SCAPs presented an improved migration capacity, enhanced alkaline phosphatase (ALP) activity, and upregulated mineralization capacity of SCAPs, as compared with control groups. Meanwhile, the odonto/osteogenic markers ( ALP /ALP, RUNX2 /RUNX2, OSX /OSX, OCN /OCN, OPN /OPN, BSP /BSP, DSPP /DSP, and DMP-1 /DMP-1) in NF- κ B pathway-activated SCAPs were also significantly upregulated as compared with control groups at both protein and mRNA levels. However, NF- κ B pathway-inhibited SCAPs exhibited a lower proliferation/migration capacity, and decreased odonto/osteogenic ability in comparison with control groups. Conclusion . Our findings suggest that classical NF- κ B pathway plays a paramount role in the proliferation and committed differentiation of SCAPs.
    Type of Medium: Online Resource
    ISSN: 2314-6133 , 2314-6141
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2014
    detail.hit.zdb_id: 2698540-8
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  • 2
    In: Oxidative Medicine and Cellular Longevity, Hindawi Limited, Vol. 2022 ( 2022-10-15), p. 1-19
    Abstract: Oxidative stress is crucial to the biology of tumors. Oxidative stress’ potential predictive significance in colorectal cancer (CRC) has not been studied; nevertheless here, we developed a forecasting model based on oxidative stress to forecast the result of CRC survival and enhance clinical judgment. The training set was chosen from the transcriptomes of 177 CRC patients in GSE17536. For validation, 65 samples of colon cancer from GSE29621 were utilized. For the purpose of choosing prognostic genes, the expression of oxidative stress-related genes (OXEGs) was found. Prognostic risk models were built using multivariate Cox regression analysis, univariate Cox regression analysis, and LASSO regression analysis. The outcomes of the western blot and transcriptome sequencing tests were finally confirmed. ATF4, CARS2, CRP, GPX1, IL1B, MAPK8, MRPL44, MTFMT, NOS1, OSGIN2, SOD2, AARS2, and FOXO3 were among the 14 OXEGs used to build prognostic characteristics. Patients with CRC were categorized into low-risk and high-risk groups according on their median risk scores. Cox regression analysis using single and multiple variables revealed that OXEG-related signals were independent risk factors for CRC. Additionally, the validation outcomes from western blotting and transcriptome sequencing demonstrated that OXEGs were differently expressed. Using 14 OXEGs, our work creates a predictive signature that may be applied to the creation of new prognostic models and the identification of possible medication candidates for the treatment of CRC.
    Type of Medium: Online Resource
    ISSN: 1942-0994 , 1942-0900
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2455981-7
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  • 3
    Online Resource
    Online Resource
    Hindawi Limited ; 2019
    In:  Oxidative Medicine and Cellular Longevity Vol. 2019 ( 2019-08-19), p. 1-11
    In: Oxidative Medicine and Cellular Longevity, Hindawi Limited, Vol. 2019 ( 2019-08-19), p. 1-11
    Abstract: Background . Among all the common complications that occur after abdominal surgery, intestinal adhesion is perhaps the most unpleasant one. However, current methods to treat and prevent intestinal adhesion are limited; thus, exploring new methods to prevent and treat intestinal adhesion is greatly needed. In this study, we demonstrated that Danhong injection (DHI) may be used as a promising method to prevent and treat intra-abdominal adhesion in a rat model. Materials and Methods . Forty-eight rats were randomly divided into six groups. Except for the sham-operated group, all rats underwent cecal abrasion to establish an adhesion model. After the operation, the rats in the DHI-treated groups received different doses of DHI via the tail vein daily, while the other group was treated with the same volume of saline solution. Seven days after the operation, all rats were sacrificed, and the degree of adhesion was evaluated by Nair’s scoring system. The extent of inflammation in the adhesion tissue was detected by HE staining and the expression of tumor necrosis factor- α (TNF- α ) and transforming growth factor- β (TGF- β ). The collagen deposition was assessed by Sirius red staining and α -SMA, MMP9, t-PA, and PAI-1 levels. Oxidative stress was indicated by the level of reactive oxygen species (ROS) in adhesion tissues and by immunohistochemical labeling of Nrf2. Furthermore, rat primary peritoneal mesothelial cells (RPMCs) were treated with H 2 O 2 and DHI, and NF- κ B phosphorylation was detected to illustrate the effect of DHI on oxidative stress. Results . The intra-abdominal adhesion scores were significantly decreased in the groups treated with a high dose of DHI compared with the control groups, and the degree of inflammation, fibrosis, and oxidative stress was also significantly decreased. DHI treatment significantly reduced the levels of TNF- α , TGF- β 1, and PAI and increased the expression levels of MMP9, Nrf2, and t-PA in the adhesion tissues. ROS levels and NF- κ B phosphorylation were significantly reduced in DHI-treated RPMCs compared with the control RPMCs. Conclusion . DHI alleviates the formation of postoperative intra-abdominal adhesions by inhibiting inflammation, collagen deposition, and oxidative stress in a rat model and may serve as a promising drug to prevent intra-abdominal adhesions.
    Type of Medium: Online Resource
    ISSN: 1942-0900 , 1942-0994
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2455981-7
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  • 4
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Scientific Programming Vol. 2022 ( 2022-6-14), p. 1-9
    In: Scientific Programming, Hindawi Limited, Vol. 2022 ( 2022-6-14), p. 1-9
    Abstract: With the improvement of people’s living standards, the traditional hotel management model has been unable to meet the needs of customers. The traditional hotel management model also has the defects of low efficiency. The hotel management model is also gradually developing towards the direction of intelligence. The combination of artificial intelligence technology and hotel management can not only improve the operation efficiency of the hotel but also solve the operation cost of the hotel. For customers, artificial intelligence technology can bring smarter and more comfortable accommodation conditions to customers. This study uses the convolutional neural network (CNN) and long short-term memory (LSTM) technology in artificial intelligence technology to conduct related research on the in-store mode, entertainment mode, sleep mode, and out-of-store mode in hotel management. CNN is used to extract the spatial features of hotel management, and LSTM is used to extract the temporal features of hotel management. The research results show that CNN and LSTM technology can help hotel management achieve intelligent management and optimization. CNN and LSTM techniques can better predict related factors in-store entry mode, entertainment mode, and sleep mode. For the correlated predictions of these four modes, the maximum prediction error is only 2.81%. The linear correlation coefficient also reached above 0.96. The relevant parameters of artificial intelligence technology are also suitable for the optimization and design of hotel information systems.
    Type of Medium: Online Resource
    ISSN: 1875-919X , 1058-9244
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2070004-0
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