961 research outputs found

    Ensemble encoding of nociceptive stimulus intensity in the rat medial and lateral pain systems

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    <p>Abstract</p> <p>Background</p> <p>The ability to encode noxious stimulus intensity is essential for the neural processing of pain perception. It is well accepted that the intensity information is transmitted within both sensory and affective pathways. However, it remains unclear what the encoding patterns are in the thalamocortical brain regions, and whether the dual pain systems share similar responsibility in intensity coding.</p> <p>Results</p> <p>Multichannel single-unit recordings were used to investigate the activity of individual neurons and neuronal ensembles in the rat brain following the application of noxious laser stimuli of increasing intensity to the hindpaw. Four brain regions were monitored, including two within the lateral sensory pain pathway, namely, the ventral posterior lateral thalamic nuclei and the primary somatosensory cortex, and two in the medial pathway, namely, the medial dorsal thalamic nuclei and the anterior cingulate cortex. Neuron number, firing rate, and ensemble spike count codings were examined in this study. Our results showed that the noxious laser stimulation evoked double-peak responses in all recorded brain regions. Significant correlations were found between the laser intensity and the number of responsive neurons, the firing rates, as well as the mass spike counts (MSCs). MSC coding was generally more efficient than the other two methods. Moreover, the coding capacities of neurons in the two pathways were comparable.</p> <p>Conclusion</p> <p>This study demonstrated the collective contribution of medial and lateral pathway neurons to the noxious intensity coding. Additionally, we provide evidence that ensemble spike count may be the most reliable method for coding pain intensity in the brain.</p

    Epidemiologic Survey of Kawasaki Disease in Jilin from 1999 Through 2008

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    The epidemiologic pictures of Kawasaki disease (KD) in Jilin Province of China is still not clear. We sent a questionnaire form and diagnostic guidelines for KD to the province's 32 hospitals above the county and city level with pediatric in-patients. All patients with KD diagnosed during January 1999 through December 2008 were recruited in this survey. The incidence of KD was 1.39 to 11.07 (5.26 ± 3.97) per 100,000 children under the age of 5 years between 1999 and 2008. The ratio of male to female was 1.96 to 1. Ages at onset ranged from 58 days to 14 years. Patients under 5 years of age accounted of 88.73%. The disease occurred throughout the year, but it occurred more frequently in May to July and November. The most common cardiac abnormality was coronary artery dilatation (49.5%). Age at onset and hypoalbuminemia (<30 g/l) were selected for multivariate logistic regression equation. In conclusion, incidences of KD increased in Jilin Province. Age and gender distribution shared similarities with previous reports, and the seasonal distribution was different. Age and lower serum albumin were the most important risk factors of coronary arterial lesions (CAL) in KD. In addition, patients treated with steroids also had a possible heightened risk of contracting CAL

    Multi-locus Test Conditional on Confirmed Effects Leads to Increased Power in Genome-wide Association Studies

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    Complex diseases or phenotypes may involve multiple genetic variants and interactions between genetic, environmental and other factors. Current genome-wide association studies (GWAS) mostly used single-locus analysis and had identified genetic effects with multiple confirmations. Such confirmed single-nucleotide polymorphism (SNP) effects were likely to be true genetic effects and ignoring this information in testing new effects of the same phenotype results in decreased statistical power due to increased residual variance that has a component of the omitted effects. In this study, a multi-locus association test (MLT) was proposed for GWAS analysis conditional on SNPs with confirmed effects to improve statistical power. Analytical formulae for statistical power were derived and were verified by simulation for MLT accounting for confirmed SNPs and for single-locus test (SLT) without accounting for confirmed SNPs. Statistical power of the two methods was compared by case studies with simulated and the Framingham Heart Study (FHS) GWAS data. Results showed that the MLT method had increased statistical power over SLT. In the GWAS case study on four cholesterol phenotypes and serum metabolites, the MLT method improved statistical power by 5% to 38% depending on the number and effect sizes of the conditional SNPs. For the analysis of HDL cholesterol (HDL-C) and total cholesterol (TC) of the FHS data, the MLT method conditional on confirmed SNPs from GWAS catalog and NCBI had considerably more significant results than SLT

    A comparison between padding and bath exhaustion to apply microcapsules onto cotton

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    The final publication is available at Springer via http://dx.doi.org/10.1007/s10570-015-0600-8[EN] The use of Microcapsules has increased in the textile sector. They have been applied as a possible means of introducing new products to textiles, such as insect repellents, antibiotics, skin moisturizers, etc. Microencapsulation technology has improved the fragrance durability on fabrics. Historically, the durability of the fragrance was poor, especially once the fabric had been washed. Microcapsules have been used in textiles for many years, however their previous characterization, adhesion behaviour and permanence on the fabrics are not well known. Nowadays the majority of textile industries are not able to characterize commercial products, or to study the process of adhering the microcapsule to the fibre's surface nor their functionality. Thus, the characterization of microencapsulated fabrics with different active core and the knowledge of the various application processes becomes a major challenge in the field of microcapsules use. There are various industrial processes to apply microcapsules, but determining optimal amounts of products, temperature, conditions and other process variables are an important challenge for the textile sector in order to achieve the highest depositions and retention of microcapsules. This work is focused on determining and quantifying presence fragrance microcapsules when applied onto fabrics by padding and by bath exhaustion and determining which method is the most effective. Consequently, diverse analysis techniques such as microscopy (SEM), spectroscopy FTIR and XPS have been used. We concluded that proposed techniques seem to be useful to compare fabrics treated with microcapsules. Results demonstrate that padding application gives better yields than bath exhaustion.Bonet Aracil, MA.; Monllor Pérez, P.; Capablanca Francés, L.; Gisbert Paya, J.; Díaz-García, P.; Montava Seguí, IJ. (2015). A comparison between padding and bath exhaustion to apply microcapsules onto cotton. Cellulose. 22(3):2117-2127. doi:10.1007/s10570-015-0600-8S21172127223Bonet M, Quijada C, Muñoz S, Cases F (2004) Characterization of ethylcellulose with different degrees of substitution (DS): a diffuse-reflectance infrared study. Can J Anal Sci Spectrosc 49(4):234–239Bonet M, Capablanca L, Monllor P, Díaz P, Montava I (2012) Studying bath exhaust as a method to apply microcapsules on fabrics. J Text Inst 103(6):629–635Buchert J, Pere LS, Johanson JM, Campbell J (2001) Analysis of surface chemistry of linen and cotton fabrics. Text Res J 71:626–629Fras L, Johanson LS, Stenius P, Laine P, Stana-Kleinscheck K, Ribitsch V (2005) Analysis of theoxidation of cellulosefibresbytitration and XPS. Colloids Surf A 260:101–108Gisbert G, Ibañez F, Bonet M, Monllor P, Díaz P, Montava I (2009) Increasing hydration of the epidermis by microcapsules in sterilized products. J Appl Polym Sci 113(4):2282–2286Hong K, Park S (1999) Melamine resin microcapsules containing fragant oil: synthesis and characterization. J Appl Polym Sci 58:128–131Jing HU, Zuobing X, Rujun Z, Shuangshuang M, Mingxi W, Zhen L (2011) Properties of aroma sustained-release cotton fabric with rose fragrance nanocapsule. Chin J Chem Eng 19(3):523–528Kokot S, Czarnik-Matusewicz C, Ozaki Y (2002) Two- dimensional correlation spectroscopy and principal component analysis studies of temperature-dependent IR spectra of cotton-cellulose. Biopolymers 67:456–469Kondo T, Sawatari C, Manley RJ, Gray DG (1994) Characterization of hydrogen bonding in cellulose synthetic polymer blend systems with regioselectively substituted methylcellulose. Macromolecules 27(1):210–215Miró Specos MM, Escobar G, Marino P, Puggia C, Defain Tesoriero MV, Hermida L (2010) Aroma finishing of cotton fabrics by means of microencapsulation techniques. J Ind Text 40(1):13–32Monllor P, Bonet M, Cases F (2007) Characterization of the behaviour of flavour microcapsules in cotton fabrics. Eur Polym J 43:2481–2490Monllor P, Bonet M, Sánchez L, Cases F (2009) Thermal behaviour of microencapsulated flavours when applied to cellulose fabrics. Text Res J 79(4):365–380Monllor P, Capablanca L, Gisbert J, Díaz P, Bonet M (2010) Improvement of microcapsule adhesion to fabrics. Text Res J 80(7):631–635Nelson G (1991) Microencapsulates in textile coloration and finishing. Rev Prog Color Relat Top 21:72–85Nelson G (2001) Microencapsulation in textile finishing. Rev Prog Color Relat Top 321:57–64Nelson G (2002) Application of microencapsulation in textiles. Int J Pharm 242:55–62Rodrigues SN, Fernandes I, Martins IM, Mata VG, Barreiro F, Rodrigues AE (2008) Microencapsulation of limonene for textiles application. Ind Eng Chem Res 47:4142–4147Rodrigues SN, Martins, IM, Fernades IP, Gomes PB, Mata VG, Barreiro MF, Rodrigues AE (2009) Scentfashion®: microencapsulated perfumes for textile application. Chem Eng J 149(1–3):463–472. ISSN:1385-8947Sócrates G (1997) In: Infrared characteristic group frequencies. Tables and charts, 2nd ednTopalovic T, Nierstrasz VA, Bautista L, Jocic D, Navarro A, Warmoeskerken MMCG (2007) XPS and contact angle study of cotton surface oxidation by catalytic bleaching. Colloids Surf A 296:76–85Wilson RC, Pfhol WF (2000) Study of crosslinking reactions of melamine/formaldehyde resin with hydroxyl functional polyester by generalized 2-D infrared spectroscopy. Vib Spectrosc 23:13–22Zhang H, Wang X (2009) Fabrication and performances of microencapsulated phase change materials based on n-octadecane core and resorcinol-modified melamine-formaldehyde shell. Colloids Surf A 332:129–13

    Shannon and Renyi Entropies to Classify Effects of Mild Traumatic Brain Injury on Postural Sway

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    Background: Mild Traumatic Brain Injury (mTBI) has been identified as a major public and military health concern both in the United States and worldwide. Characterizing the effects of mTBI on postural sway could be an important tool for assessing recovery from the injury. Methodology/Principal Findings: We assess postural sway by motion of the center of pressure (COP). Methods for data reduction include calculation of area of COP and fractal analysis of COP motion time courses. We found that fractal scaling appears applicable to sway power above about 0.5 Hz, thus fractal characterization is only quantifying the secondary effects (a small fraction of total power) in the sway time series, and is not effective in quantifying long-term effects of mTBI on postural sway. We also found that the area of COP sensitively depends on the length of data series over which the COP is obtained. These weaknesses motivated us to use instead Shannon and Renyi entropies to assess postural instability following mTBI. These entropy measures have a number of appealing properties, including capacity for determination of the optimal length of the time series for analysis and a new interpretation of the area of COP. Conclusions: Entropy analysis can readily detect postural instability in athletes at least 10 days post-concussion so that it appears promising as a sensitive measure of effects of mTBI on postural sway

    Classification of gluteal muscle contracture in children and outcome of different treatments

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    <p>Abstract</p> <p>Background</p> <p>Gluteal muscle contracture (GMC) is a clinical syndrome due to multiple etiologies in which hip movements may be severely limited. The aim of this study was to propose a detailed classification of GMC and evaluate the statistical association between outcomes of different management and patient conditions.</p> <p>Methods</p> <p>One hundred fifty-eight patients, who were treated between January 1995 and December 2004, were reviewed at a mean duration of follow-up of 4.8 years. Statistical analyses were performed using X<sup>2 </sup>and Fisher's exact tests.</p> <p>Results</p> <p>Non-operative management (NOM), as a primary treatment, was effective in 19 of 49 patients (38.8%), while operative management was effective in all 129 patients, with an excellence rating of 83.7% (108/129). The outcome of NOM in level I patients was significantly higher than in level II and III patients (<it>P </it>< 0.05). The results of NOM and operative management in the child group were better than the adolescent group (<it>P </it>< 0.05). Complications in level III were more than in level II.</p> <p>Conclusion</p> <p>NOM was more effective in level I patients than in level II and III patients. Operative management was effective in patients at all levels, with no statistical differences between levels or types. We recommend NOM as primary treatment for level I patients and operative management for level II and III patients. Either NOM or operative management should be carried out as early as possible.</p

    CACNA1E Variants Affect Beta Cell Function in Patients with Newly Diagnosed Type 2 Diabetes. The Verona Newly Diagnosed Type 2 Diabetes Study (VNDS) 3

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    Background: Genetic variability of the major subunit (CACNA1E) of the voltage-dependent Ca 2+ channel Ca V2.3 is associated to risk of type 2 diabetes, insulin resistance and impaired insulin secretion in nondiabetic subjects. The aim of the study was to test whether CACNA1E common variability affects beta cell function and/or insulin sensitivity in patients with newly diagnosed type 2 diabetes. Methodology/Principal Findings: In 595 GAD-negative, drug naïve patients (mean6SD; age: 58.5610.2 yrs; BMI: 29.965 kg/m 2, HbA1c: 7.061.3) with newly diagnosed type 2 diabetes we: 1. genotyped 10 tag SNPs in CACNA1E region reportedly covering,93 % of CACNA1E common variability: rs558994, rs679931, rs2184945, rs10797728, rs3905011, rs12071300, rs175338, rs3753737, rs2253388 and rs4652679; 2. assessed clinical phenotypes, insulin sensitivity by the euglycemic insulin clamp and beta cell function by state-of-art modelling of glucose/C-peptide curves during OGTT. Five CACNA1E tag SNPs (rs10797728, rs175338, rs2184945, rs3905011 and rs4652679) were associated with specific aspects of beta cell function (p,0.0520.01). Both major alleles of rs2184945 and rs3905011 were each (p,0.01 and p,0.005, respectively) associated to reduced proportional control with a demonstrable additive effect (p,0.005). In contrast, only the major allele of rs2253388 was related weakly to more severe insulin resistance (p,0.05). Conclusions/Significance: In patients with newly diagnosed type 2 diabetes CACNA1E common variability is strongl

    Pre-ejection period by radial artery tonometry supplements echo doppler findings during biventricular pacemaker optimization

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    <p>Abstract</p> <p>Background</p> <p>Biventricular (Biv) pacemaker echo optimization has been shown to improve cardiac output however is not routinely used due to its complexity. We investigated the role of a simple method involving computerized pre-ejection time (PEP) assessment by radial artery tonometry in guiding Biv pacemaker optimization.</p> <p>Methods</p> <p>Blinded echo and radial artery tonometry were performed simultaneously in 37 patients, age 69.1 ± 12.8 years, left ventricular (LV) ejection fraction (EF) 33 ± 10%, during Biv pacemaker optimization. Effect of optimization on echo derived velocity time integral (VTI), ejection time (ET), myocardial performance index (MPI), radial artery tonometry derived PEP and echo-radial artery tonometry derived PEP/VTI and PEP/ET indices was evaluated.</p> <p>Results</p> <p>Significant improvement post optimization was achieved in LV ET (286.9 ± 37.3 to 299 ± 34.6 ms, p < 0.001), LV VTI (15.9 ± 4.8 cm to 18.4 ± 5.1 cm, p < 0.001) and MPI (0.57 ± 0.2 to 0.45 ± 0.13, p < 0.001) and in PEP (246.7 ± 36.1 ms to 234.7 ± 35.5 ms, p = 0.003), PEP/ET (0.88 ± 0.21 to 0.79 ± 0.17, p < 0.001), and PEP/VTI (17.3 ± 7 to 13.78 ± 4.7, p < 0.001). The correlation between comprehensive echo Doppler and radial artery tonometry-PEP guided optimal atrioventricular delay (AVD) and optimal interventricular delay (VVD) was 0.75 (p < 0.001) and 0.69 (p < 0.001) respectively. In 29 patients with follow up assessment, New York Heart Association (NYHA) class reduced from 2.5 ± 0.8 to 2.0 ± 0.9 (p = 0.004) at 1.8 ± 1.4 months.</p> <p>Conclusion</p> <p>An acute shortening of PEP by radial artery tonometry occurs post Biv pacemaker optimization and correlates with improvement in hemodynamics by echo Doppler and may provide a cost-efficient approach to assist with Biv pacemaker echo optimization.</p

    Regulation of the IGFBP-5 and MMP-13 genes by the microRNAs miR-140 and miR-27a in human osteoarthritic chondrocytes

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    <p>Abstract</p> <p>Background</p> <p>MMP-13 and IGFBP-5 are important factors involved in osteoarthritis (OA). We investigated whether two highly predicted microRNAs (miRNAs), miR-140 and miR-27a, regulate these two genes in human OA chondrocytes.</p> <p>Methods</p> <p>Gene expression was determined by real-time PCR. The effect of each miRNA on IGFBP-5 and MMP-13 expression/production was evaluated by transiently transfecting their precursors (pre-miRNAs) and inhibitors (anti-miRNAs) into human OA chondrocytes. Modulation of IGFBP-5, miR-140 and miR-27a expression was determined upon treatment of OA chondrocytes with cytokines and growth factors.</p> <p>Results</p> <p>IGFBP-5 was expressed in human chondrocytes with its level significantly lower (p < 0.04) in OA. Five computational algorithms identified miR-140 and miR-27a as possible regulators of MMP-13 and IGFBP-5 expression. Data showed that both miRNAs were expressed in chondrocytes. There was a significant reduction (77%, p < 0.01) in miR-140 expression in OA compared to the normal chondrocytes, whereas miR-27a expression was only slightly decreased (23%). Transfection with pre-miR-140 significantly decreased (p = 0.0002) and with anti-miR-140 significantly increased (p = 0.05) IGFBP-5 expression at 24 hours, while pre-miR-27a did not affect either MMP-13 or IGFBP-5. Treatment with anti-miR-27a, but not with anti-miR-140, significantly increased the expression of both MMP-13 (p < 0.05) and IGFBP-5 (p < 0.01) after 72 hours of incubation. MMP-13 and IGFBP-5 protein production followed the same pattern as their expression profile. These data suggest that IGFBP-5 is a direct target of miR-140, whereas miR-27a down-regulates, likely indirectly, both MMP-13 and IGFBP-5.</p> <p>Conclusion</p> <p>This study is the first to show the regulation of these miRNAs in human OA chondrocytes. Their effect on two genes involved in OA pathophysiology adds another level of complexity to gene regulation, which could open up novel avenues in OA therapeutic strategies.</p

    Facilitating Joint Chaos and Fractal Analysis of Biosignals through Nonlinear Adaptive Filtering

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    Background: Chaos and random fractal theories are among the most important for fully characterizing nonlinear dynamics of complicated multiscale biosignals. Chaos analysis requires that signals be relatively noise-free and stationary, while fractal analysis demands signals to be non-rhythmic and scale-free. Methodology/Principal Findings: To facilitate joint chaos and fractal analysis of biosignals, we present an adaptive algorithm, which: (1) can readily remove nonstationarities from the signal, (2) can more effectively reduce noise in the signals than linear filters, wavelet denoising, and chaos-based noise reduction techniques; (3) can readily decompose a multiscale biosignal into a series of intrinsically bandlimited functions; and (4) offers a new formulation of fractal and multifractal analysis that is better than existing methods when a biosignal contains a strong oscillatory component. Conclusions: The presented approach is a valuable, versatile tool for the analysis of various types of biological signals. Its effectiveness is demonstrated by offering new important insights into brainwave dynamics and the very high accuracy in automatically detecting epileptic seizures from EEG signals
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