5 research outputs found
Scaffold for liver tissue engineering: Exploring the potential of fibrin incorporated alginate dialdehyde–gelatin hydrogel
UV-Crosslinked Electrospun Zein/PEO Fibroporous Membranes for Wound Dressing
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
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
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)
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
