5 research outputs found

    UV-Crosslinked Electrospun Zein/PEO Fibroporous Membranes for Wound Dressing

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    Electrospun zein membranes are suitable for various biomedical applications. A UV-crosslinked electrospun membrane of a zein/PEO blend for wound healing application was explored in this work. The improvement in mechanical properties of the membrane after UV crosslinking was attributed to the change in protein conformation from an α-helix to a β-sheet. The circular dichroism (CD) spectra and FTIR spectra confirmed this conformational change. XRD analysis was shown to prove the amorphous nature of polymer blends with specific broad peaks at 2θ = 9° and 20°. The water vapor transmission rate (WVTR) of the membrane was found to be in the range of 1500–2000 g m–2 day–1, which was well suited with that of commercially available wound dressing material. Enough number of available functional groups like thiol, amino, and hydroxyl groups supplement a blood clotting index (BCI) to the matrix, causing 99% BCI within 4 min. A 91% cell viability result in the MTT assay with human dermal fibroblast cells confirmed the noncytotoxicity of the membrane. Tripeptides produced after the thermolysin-based hydrolysis of zein caused inhibition of TGF β1 expression and thus increased fibroblast and collagen production. The membrane stimulated 54% more collagen production compared to control cells at day 2 and caused 84% wound closure in human dermal fibroblast cells, which were desirable index markers of a potential wound care material

    Bayesian Detector Based Superior Selective Reporting Mechanism for Cooperative Spectrum Sensing in Cognitive Radio Networks

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    AbstractCognitive radio network(CRN) coupled with spectrum sensing technology enables unlicensed secondary users (SUs) to opportunistically access the unused licensed spectrum of primary users (PUs). Cooperative Spectrum Sensing (CSS) significantly improves the detection probability of primary user transmission. Nevertheless, current CSS techniques render shortcomings including energy consumption and overhead in sensing phase. Overheads are consequence of multiple cooperative SUs reporting their decision to the fusion center. In this paper, we propose Bayesian Detector based Superior Selective Reporting Cooperative Sensing(BD- SSRCS)scheme. Superior Selective Reporting (SSR)scheme, competently reduces reporting overhead and mitigates interference to PUs. Bayesian based sensing technique for local sensing improves detection performance, spectrum utilization and secondary user throughput. Our analysis and simulation results manifest the outcome of presented work in terms of higher detection probability, lower miss detection rate and lesser detection overhead, as opposed to the traditional cooperative sensing methods. Moreover, miss detection probability and sensing time can be reduced by ideally choosing sensing time allocation factor

    Neural Tissue Engineering with Rat Adipose-Derived Mesenchymal Stem Cells: The Role of an Injectable, Resorbable Hydrogel Scaffold Derived from Oxidized Alginate and Gelatin

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    The central nervous system has limited regeneration potential. The multipotency of adipose-derived mesenchymal stem cells (ADMSC) makes them an ideal autologous cell source for the regeneration of neural tissues. However, the likelihood of their differentiation into unwanted cell lineages when transplanted into a hostile injury environment is a serious disadvantage. Transplanting predifferentiated cells via an injectable carrier may aid in site-specific delivery for better survival of cells. Here, we focus on identifying an appropriate injectable hydrogel system that favors stem/progenitor cell attachment and differentiation for neural tissue engineering. An injectable composition of the hydrogel, derived from alginate dialdehyde (ADA) and gelatin, was formulated for this purpose. This hydrogel promoted proliferation/differentiation of ADMSCs to neural progenitors, visualized from the generation of prominent neurospheres and stage-specific expression of a neural progenitor marker (nestin, day 4), an intermittent neuronal marker (β-III tub, day 5), and a mature neuronal marker (MAP-2, day 8) with neural branching and networking (>85%). The differentiated cells also expressed the functional marker synaptophysin. There was no negative impact on stem/progenitor cell survival (>95%) or differentiation (∼90%) as compared to two-dimensional (2D) culture. Addition of appropriate quantities of asiatic acid specific for neural niche supported cell growth and differentiation without affecting cell survival (>90%) and improved neural branching and elongation. Optimized interconnected porous hydrogel niche exhibited rapid gelation (3 min) and self-healing properties mimicking native neural tissue. Both ADA–gelatin hydrogel by itself and that incorporated with asiatic acid were found to support stem/neural progenitor cell growth and differentiation and have potential applications as antioxidants and growth promoters upon release at the cell transplantation site. In short, the matrix itself or incorporated with phytomoieties could serve as a potential minimally invasive injectable cell delivery vehicle for cell-based therapies of neural diseases

    Corrigendum: A prospective cohort study on cognitive and psychological outcomes in COVID-19 ICU survivors at 3 months of follow up (Frontiers in Medicine, (2024), 11, (1288761), 10.3389/fmed.2024.1288761)

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    In the published article, there was an error. The incorrect funder was listed. A correction has been made to the Funding and Acknowledgments. The correct Funding statement appears below.The author(s) declare financial support was received for the research and publication of this article. The publication of this work will be supported by the Medical Research Center, Hamad Medical Corporation, Qatar. The Acknowledgments previously stated: \u201CWe would like to acknowledge Aaron Titus Abraham, Medical Intern, Pondicherry University, India for his contribution to literature review. We would also like to thank Qatar National Library for funding the publication of this work.\u201D The corrected Acknowledgments appears below:Scopu
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