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acteriosis. The erm(B) gene is associated with several MDRGIs and dissemination of this resistance mechanism will likely limit treatment options for Campylobacter infections.

Antimicrobial photodynamic therapy (aPDT) as a complementary step of selective removal of dental caries appears as an ideal choice to help manage caries with minimal interventions. Sub-lethal dose of aPDT (sPDT) impressively effects microbial virulence, although it does not kill microorganisms. Therefore, the present study aimed to investigate the influence of sPDT using diode laser plus chlorophyllin-phycocyanin mixture (PhotoActive

) on changes in gtfB gene expression and the subsequent protein expression of GtfB.

sPDT using PhotoActive

and 635 ± 10 nm diode laser was used to examine the expression of gtfB mRNA and GtfB protein expression of Streptococcus mutans by quantitative real time PCR (qRT-PCR) method and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), respectively.

In this study, sPDT using 2.4 × 10

mol/L PhotoActive

with 3 min irradiation time of diode laser with energy density of 104 J/cm

, significantly reduced the gtfB gene expression with rates of 3.5-fold (P < 0.05). Also, PhotoActive

mediated sPDT demonstrated a significant reduction in GtfB protein expression of S. mutans up to 54 % (P < 0.05).

This study demonstrated the potential effect of PhotoActive

mediated sPDT on one of the most important virulence factors of S. mutans.

This study demonstrated the potential effect of PhotoActive+ mediated sPDT on one of the most important virulence factors of S. mutans.

Traditional chemomechanical treatment procedures are an indispensable part of endodontic treatment, however, additional treatment approaches such as antimicrobial photodynamic therapy (aPDT) may also be recommended for the elimination of residual microorganisms. In this study, the disinfection efficiency of aPDT performed using methylene blue (MB), toluidine blue (TB), and tetra 2-mercaptopyridine substituted zinc phthalocyanine (TM-ZnPc) was compared in the roots contaminated with Enterococcus faecalis (E. faecalis).

Forty-nine teeth with a single root and canal were included in this study. The roots were sterilized, and inoculated with E. faecalis. The roots were kept in an incubator for 30 days to form the biofilm. Forty-five teeth were prepared up to the F3 file of the ProTaperNext system under 2.5 % NaOCL irrigation. The samples were divided into three groups according to the type of used photosensitizer (PS) (n = 15); MB (313 μM), TB (327 μM), and TM-ZnPc (6μM). All PSs were irradiation with a light Therefore, the use of TM-ZnPc in intra-canal disinfection in endodontics seems promising.Squamous cell carcinoma (SCC) of thelip is conventionally treated by extended surgery or radiotherapy, which may cause deformities and dysfunction due to this special location. Topical 5-Aminolevulinic acid photodynamic therapy (ALA-PDT) for SCC in situ is effective and non-invasive, and may preserve normal morphological structure. #link# However, the effectiveness is limited by tumor size and depth due to the permeability of photosensitizer and penetration depth of the therapeutic light source. We successfully treated two cases of lip invasive SCC (tumor size is 22.4 mm × 16.1 mm × 11.9 mm and 23 mm × 15 mm × 5 mm) with superficial resection surgery to reduce tumor load and sequential ALA-PDT (20 % ALA, 3 h incubation, 200 J/cm2) to remove residual tumor. During the treatment, ultrasonography was used to monitor the tumor invasion depth and assess the therapeutic efficacy. Both cases showed tumor free at 12 months of follow-up. These two cases suggest that ALA-PDT combined with minimal invasive surgery is a viable treatment for special cases of lip SCC.The transition between seizure and non-seizure states in neocortical epileptic networks is governed by distinct underlying dynamical processes. Based on the gamma distribution of seizure and inter-seizure durations, over time, seizures are highly likely to self-terminate; whereas, inter-seizure durations have a low chance of transitioning back into a seizure state. Yet, the chance of a state transition could be formed by multiple overlapping, unknown synaptic mechanisms. To identify the relationship between the underlying synaptic mechanisms and the chance of seizure-state transitions, we analyzed the skewed histograms of seizure durations in human intracranial EEG and seizure-like events (SLEs) in local field potential activity from mouse neocortical slices, using an objective method for seizure state classification. While seizures and SLE durations were demonstrated to have a unimodal distribution (gamma distribution shape parameter >1), suggesting a high likelihood of terminating, inter-SLE intervals were shown to have an asymptotic exponential distribution (gamma distribution shape parameter less then 1), suggesting lower probability of cessation. Then, to test cellular mechanisms for these distributions, we studied the modulation of synaptic neurotransmission during, and between, the in vitro SLEs. Using simultaneous local field potential and whole-cell voltage clamp recordings, we found a suppression of presynaptic glutamate release at SLE termination, as demonstrated by electrically- and optogenetically-evoked excitatory postsynaptic currents (EPSCs), and focal hypertonic sucrose application. LY-3475070 cost interfered with the suppression of this release, changing the inter-SLE shape parameter from asymptotic exponential to unimodal, altering the chance of state transition occurrence with time. These findings reveal a critical role for presynaptic glutamate release in determining the chance of neocortical seizure state transitions.The ability of epigenetic markers to affect genome function has enabled transformative changes in drug discovery, especially in cancer and other emerging therapeutic areas. Concordant with the introduction of the term 'epi-informatics', the size of the epigenetically relevant chemical space has grown substantially and so did the number of applications of cheminformatic methods to epigenetics. Recent progress in epi-informatics has improved our understanding of the structure-epigenetic activity relationships and boosted the development of models predicting novel epigenetic agents. Herein, we review the advances in computational approaches to drug discovery of small molecules with epigenetic modulation profiles, summarize the current chemogenomics data available for epigenetic targets, and provide a perspective on the greater utility of biomedical knowledge mining as a means to advance the epigenetic drug discovery.

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