64 research outputs found

    Nanophotonic modal dichroism: mode-multiplexed modulators

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    As the diffraction limit is approached, device miniaturization to integrate more functionality per area becomes more and more challenging. Here we propose a strategy to increase the functionality-per-area by exploiting the modal properties of a waveguide system. With such an approach the design of a mode-multiplexed nanophotonic modulator relying on the mode-selective absorption of a patterned in-dium-tin-oxide (ITO) is proposed. Full-wave simulations of a device operating at the telecom wavelength of 1550 nm show that two modes can be independently modulated, while maintaining performances in line with conventional single-mode ITO modulators reported in the recent literature. The proposed design principles can pave the way to a class of mode-multiplexed compact photonic devices able to effectively multiply the functionality-per-area in integrated photonic systems. (C) 2016 Optical Society of America1153Ysciescopu

    Breast cancer epigenetics: Review article

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    Stable molecular changes during cell division without any change in the sequence of DNA molecules is known as epigenetic. Molecular mechanisms involved in this process, including histone modifications, methylation of DNA, protein complex and RNA antisense. Cancer genome changes happen through a combination of DNA hypermethylation, long-term epigenetic silencing with heterozygosis loss and genomic regions loss. Different combinations of N-terminal�s changes cooperate with histone variants with a specific role in gene regulation. It have led to load a setting histone that determine transcription potential of a particular gene or genomic regions. DNA methylation analysis in genome region using methylation-specific digital karyotyping of normal breast tissue detect gene expression patterns and DNA specific methylation can be found in breast carcinoma too more than 100 genes in breast tumors or cell lines of breast cancer are reported hypermethylated. Important of DNA methylation on cancer has been concentrated CpG islands hypermethylation. Most of the techniques are able to identify hypermethylated areas. Often, methylated genes play important role in cell cycle regulation, apoptosis, metastasis and tissue invasion, angiogenesis and hormonal signaling. Cyclin D2 (CCND2) gene is an important regulator of cell cycle and increased of expression inhibits the transition from G1 to S cell cycle. This gene is frequently methylated in breast cancer and has been proposed as the first event. Other cell cycle regulator is p16ink4A / CDKN2A that methylated in a large number of human cancers, including breast cancer. Another regulator of the proliferation of breast cancer that methylated is tumor suppressor RAR-β cancer that has been found in lobular and ductal carcinoma. Recent studies have showed the role of epigenetic silencing in the pathogenesis of breast cancer in which tumor suppressor genes have been changed by acetylation and DNA deacetylation. Histone deacetylase inhibitors have different roles in cancer cells and could show the ways of new treatment for breast cancer. In this review, various aspects of breast cancer epigenetics and its applications in diagnosis, prediction and treatment are described. � 2016 Tehran University of Medical Sciences. All rights reserved

    Effects of Bariatric Surgery on Human Small Artery Function Evidence for Reduction in Perivascular Adipocyte Inflammation, and the Restoration of Normal Anticontractile Activity Despite Persistent Obesity

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    ObjectivesThe aim of this study was to investigate the effects of bariatric surgery on small artery function and the mechanisms underlying this.BackgroundIn lean healthy humans, perivascular adipose tissue (PVAT) exerts an anticontractile effect on adjacent small arteries, but this is lost in obesity-associated conditions such as the metabolic syndrome and type II diabetes where there is evidence of adipocyte inflammation and increased oxidative stress.MethodsSegments of small subcutaneous artery and perivascular fat were harvested from severely obese individuals before (n = 20) and 6 months after bariatric surgery (n = 15). Small artery contractile function was examined in vitro with wire myography, and perivascular adipose tissue (PVAT) morphology was assessed with immunohistochemistry.ResultsThe anticontractile activity of PVAT was lost in obese patients before surgery when compared with healthy volunteers and was restored 6 months after bariatric surgery. In vitro protocols with superoxide dismutase and catalase rescued PVAT anticontractile function in tissue from obese individuals before surgery. The improvement in anticontractile function after surgery was accompanied by improvements in insulin sensitivity, serum glycemic indexes, inflammatory cytokines, adipokine profile, and systolic blood pressure together with increased PVAT adiponectin and nitric oxide bioavailability and reduced macrophage infiltration and inflammation. These changes were observed despite the patients remaining severely obese.ConclusionsBariatric surgery and its attendant improvements in weight, blood pressure, inflammation, and metabolism collectively reverse the obesity-induced alteration to PVAT anticontractile function. This reversal is attributable to reductions in local adipose inflammation and oxidative stress with improved adiponectin and nitric oxide bioavailability

    Theoretically nanoscale study on ionization of muscimol nano drug in aqueous solution

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    In the present work, acid dissociation constant (pKa) values of muscimol derivatives were calculated using the Density Functional Theory (DFT) method. In this regard, free energy values of neutral, protonated and deprotonated species of muscimol were calculated in water at the B3LYP/6-31G(d) basis sets. The hydrogen bond formation of all species had been analyzed using the Tomasi's method. It was revealed that the theoretically calculated pKa values were in a good agreement with the existing experimental pKa values, which were determined from capillary electrophoresis, potentiometric titration and UV-visible spectrophotometric measurements

    Phenogrouping heart failure with preserved or mildly reduced ejection fraction using electronic health record data

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    Background: Heart failure (HF) with preserved or mildly reduced ejection fraction includes a heterogenous group of patients. Reclassification into distinct phenogroups to enable targeted interventions is a priority. This study aimed to identify distinct phenogroups, and compare phenogroup characteristics and outcomes, from electronic health record data. Methods: 2,187 patients admitted to five UK hospitals with a diagnosis of HF and a left ventricular ejection fraction ≥ 40% were identified from the NIHR Health Informatics Collaborative database. Partition-based, model-based, and density-based machine learning clustering techniques were applied. Cox Proportional Hazards and Fine-Gray competing risks models were used to compare outcomes (all-cause mortality and hospitalisation for HF) across phenogroups. Results: Three phenogroups were identified: (1) Younger, predominantly female patients with high prevalence of cardiometabolic and coronary disease; (2) More frail patients, with higher rates of lung disease and atrial fibrillation; (3) Patients characterised by systemic inflammation and high rates of diabetes and renal dysfunction. Survival profiles were distinct, with an increasing risk of all-cause mortality from phenogroups 1 to 3 (p < 0.001). Phenogroup membership significantly improved survival prediction compared to conventional factors. Phenogroups were not predictive of hospitalisation for HF. Conclusions: Applying unsupervised machine learning to routinely collected electronic health record data identified phenogroups with distinct clinical characteristics and unique survival profiles
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