37 research outputs found

    Enhanced radiosensitivity of LNCaP prostate cancer cell line by gold-photoactive nanoparticles modified with folic acid

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    Background: Conventional cancer treatment methods suffer from many limitations such as non-specificity in discrimination between healthy and malignant cells. The aim of this study was to investigate the role of polymeric gold-photoactive nanoparticles (PGPNPs) conjugated with folic acid (FA) as theranostic nanoparticles for active targeting, real-time fluorescence tracing and radiosensitivity inducition in LNCaP prostate cancer cells. Methods: The cellular uptake and cytotoxicity effect of gold nanoparticles (PGPNPs and PGPNPs-FA) after 2 and 24 h treatment were evaluated in in both cancer (LNCaP) and normal (HUVEC) cells using fluorescent microscopy, Induced coupled plasma optical emission spectrometry (ICP-OES) and Tetrazolium bromide dye (MTT), respectively. The therapeutic efficacy was analyzed on the LNCaP cells. For this purpose, LNCaP cells were treated by nanoparticles and ionizing radiation, and the synergistic effect of treatment methods were evaluated by colony formation assay (CFA) and Flow cytometry analysis. Results: The results of fluorescence imaging and ICP-OES data showed that the LNCaP cells absorbed PGPNP-FA nanoparticles more than PGPNP (P < 0.001). Also, the uptake of nanoparticles was significantly greater in cancer cells than in healthy ones (P < 0.01). MTT assay results indicated higher cytotoxic effect of nanoparticles conjugated with FA in folate-receptor overexpressing LNCaP cancer cells compared to HUVEC normal cells (P < 0.01). Furthermore, CFA and Flow cytometry results demonstrated that combinatorial therapy of polymeric gold nanoparticles with/without FA and ionizing radiation at various doses (2, 4 and 6 Gy) had a synergistic effect on survival fraction and induction of apoptotic and necrotizing cell death (P < 0.01). Conclusion: PGPNPs-FA nanoparticles led to higher and more specific uptake and accumulation of nanoparticles in LNCaP cells, thereby increasing the ability of gold nanoparticles as radio-sensitizer. © 2019 Elsevier B.V

    Efficient Physical Embedding of Topologically Complex Information Processing Networks in Brains and Computer Circuits

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    Nervous systems are information processing networks that evolved by natural selection, whereas very large scale integrated (VLSI) computer circuits have evolved by commercially driven technology development. Here we follow historic intuition that all physical information processing systems will share key organizational properties, such as modularity, that generally confer adaptivity of function. It has long been observed that modular VLSI circuits demonstrate an isometric scaling relationship between the number of processing elements and the number of connections, known as Rent's rule, which is related to the dimensionality of the circuit's interconnect topology and its logical capacity. We show that human brain structural networks, and the nervous system of the nematode C. elegans, also obey Rent's rule, and exhibit some degree of hierarchical modularity. We further show that the estimated Rent exponent of human brain networks, derived from MRI data, can explain the allometric scaling relations between gray and white matter volumes across a wide range of mammalian species, again suggesting that these principles of nervous system design are highly conserved. For each of these fractal modular networks, the dimensionality of the interconnect topology was greater than the 2 or 3 Euclidean dimensions of the space in which it was embedded. This relatively high complexity entailed extra cost in physical wiring: although all networks were economically or cost-efficiently wired they did not strictly minimize wiring costs. Artificial and biological information processing systems both may evolve to optimize a trade-off between physical cost and topological complexity, resulting in the emergence of homologous principles of economical, fractal and modular design across many different kinds of nervous and computational networks

    A research agenda to improve incidence and outcomes of assisted vaginal birth

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    Access to emergency obstetric care, including assisted vaginal birth and caesarean birth, is crucial for improving maternal and childbirth outcomes. However, although the proportion of births by caesarean section has increased during the last few decades, the use of assisted vaginal birth has declined. This is particularly the case in low- and middle-income countries, despite an assisted vaginal birth often being less risky than caesarean birth. We therefore conducted a three-step process to identify a research agenda necessary to increase the use of, or reintroduce, assisted vaginal birth: after conducting an evidence synthesis, which informed a consultation with technical experts who proposed an initial research agenda, we sought and incorporated the views of women's representatives of this agenda. This process has allowed us to identify a comprehensive research agenda, with topics categorized as: (i) the need to understand women's perceptions of assisted vaginal birth, and provide appropriate and reliable information; (ii) the importance of training health-care providers in clinical skills but also in respectful care, effective communication, shared decision-making and informed consent; and (iii) the barriers to and facilitators of implementation and sustainability. From women's feedback, we learned of the urgent need to recognize labour, childbirth and postpartum experiences as inherently physiological and dignified human processes, in which interventions should only be implemented if necessary. The promotion and/or reintroduction of assisted vaginal birth in low-resource settings requires governments, policy-makers and hospital administrators to support skilled health-care providers who can, in turn, respectfully support women in labour and childbirth. [Abstract copyright: (c) 2023 The authors; licensee World Health Organization.

    Self-generated sounds of locomotion and ventilation and the evolution of human rhythmic abilities

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    A quantum vocal theory of sound

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    Concepts and formalism from acoustics are often used to exemplify quantum mechanics. Conversely, quantum mechanics could be used to achieve a new perspective on acoustics, as shown by Gabor studies. Here, we focus in particular on the study of human voice, considered as a probe to investigate the world of sounds. We present a theoretical framework that is based on observables of vocal production, and on some measurement apparati that can be used both for analysis and synthesis. In analogy to the description of spin states of a particle, the quantum-mechanical formalism is used to describe the relations between the fundamental states associated with phonetic labels such as phonation, turbulence, and supraglottal myoelastic vibrations. The intermingling of these states, and their temporal evolution, can still be interpreted in the Fourier/Gabor plane, and effective extractors can be implemented. The bases for a quantum vocal theory of sound, with implications in sound analysis and design, are presented
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