THE ASSOCIATION BETWEEN ACE GENE VARIATION AND AEROBIC CAPACITY IN WINTER ENDURANCE DISCIPLINES

The aim of the study was to examine the possible relationship between I/D polymorphism of ACE gene and selected indices of aerobic capacity among male and female athletes practising winter endurance sports. Sixty-six well-trained athletes (female n = 26, male n = 40), aged 18.4 ± 2.8 years, representing winter endurance sports (cross-country skiing, n = 48; biathlon, n = 8; Nordic combined, n = 10) participated in the study. Genotyping for ACE I/D polymorphism was performed using polymerase chain reaction. Maximal oxygen consumption (VO₂max), maximal running velocity (V_max) and running velocity at anaerobic threshold (V_AT4) were determined in an incremental test to volitional exhaustion on a motorized treadmill. The ACE genotype had no significant effect on absolute VO₂max, relative VO₂max (divided by body mass or fat free body mass), V_AT4 or V_max. No interaction effect of gender x ACE genotype was found for each of the examined aerobic capacity indices. ACE gene variation was not found to be a determinant of aerobic capacity in either female or male Polish, well-trained endurance athletes participating in winter sports.     

Microbicide surface nano-structures

Abstract

The prevention of infectious diseases is a global challenge where multidrug-resistant bacteria or “superbugs” pose a serious threat to worldwide public health. Microtopographic surfaces have attracted much attention as they represent a biomimetic and nontoxic surface antibacterial strategy to replace biocides. The antimicrobial effect of such natural and biomimetic surface nanostructures involves a physical approach which eradicates bacteria via the structural features of the surfaces without any release of biocides or chemicals. These recent developments present a significant proof-of-concept and a powerful tool in which cellular adhesion and death caused by a physical approach, can be controlled by the micro/nanotopology of such surfaces. This represents an innovative direction of development of clean, effective and nonresistant antimicrobial surfaces. The minireview will cover novel approaches for the construction of nanostructures on surfaces in order to create antimicrobial surface in an environmentally friendly, nontoxic manner.     

Molecular dynamics simulation on the effect of transition metal binding to the N-terminal fragment of amyloid-β

Abstract

We report molecular dynamics simulations of three possible adducts of Fe(II) to the N-terminal 1–16 fragments of the amyloid-β peptide, along with analogous simulations of Cu(II) and Zn(II) adducts. We find that multiple simulations from different starting points reach pseudo-equilibration within 100–300?ns, leading to over 900?ns of equilibrated trajectory data for each system. The specifics of the coordination modes for Fe(II) have only a weak effect on peptide secondary and tertiary structures, and we therefore compare one of these with analogous models of Cu(II) and Zn(II) complexes. All share broadly similar structural features, with mixture of coil, turn and bend in the N-terminal region and helical structure for residues 11–16. Within this overall pattern, subtle effects due to changes in metal are evident: Fe(II) complexes are more compact and are more likely to occupy bridge and ribbon regions of Ramachandran maps, while Cu(II) coordination leads to greater occupancy of the poly-proline region. Analysis of representative clusters in terms of molecular mechanics energy and atoms-in-molecules properties indicates similarity of four-coordinate Cu and Zn complexes, compared to five-coordinate Fe complex that exhibits lower stability and weaker metal–ligand bonding.

Communicated by Ramaswamy H. Sarma     

Biological rhythms,chronodisruption and chrono-enhancement: The role of physical activity as synchronizer in correcting steroids circadian rhythm in metabolic dysfunctions and cancer

ABSTRACT

Rhythms can be observed at all levels of the biologic integration in humans. The observation that a biological or physiological variable shows a circadian rhythm can be explained by several multifactorial systems including external (exogenous), internal (endogenous) and psychobiological (lifestyle) mechanisms. Our body clock can be synchronized with the environment by external factors, called “synchronizers”, i.e. the light–dark cycle, but it is also negatively influenced by some pathological conditions or factors, called “chronodisruptors,” i.e. aging or low physical activity (PA). The desynchronization of a 24-h rhythm in a chronic manner has been recently defined “chronodisruption” or “circadian disruption.” A very large number of hormonal variables, such as adrenal and gonadal stress steroids, are governed by circadian rhythmicity. Such hormones, in normal conditions, show a peak in the first part of the day, while their typical diurnal fluctuations are totally out of sync in subjects affected by cancer or metabolic diseases, such as obesity, diabetes and metabolic syndrome. In general, a flatter slope with altered peaks in cortisol and testosterone circadian rhythms has been observed in pathological individuals. PA, specifically chronic exercise, seems to play a key role as synchronizer for the whole circadian system in such pathologies even if specific data on steroids circadian pattern are still sparse and contradictory. Recently, it has been proposed that low-intensity chronic PA could be an effective intervention to decrease morning cortisol levels in pathological subjects. The standardization of all confounding factors is needed to reach more clear evidence-based results.     

Chronotype preferences of college students from varied altitude backgrounds in Ethiopia

ABSTRACT

The purpose of this study was to compare chronotype preferences of college students from high- and low-altitude backgrounds living in a tropical setting of Ethiopia. Chronotype (morningness–eveningness) is a preference for a given time of day for physical or mental activities. The present cross-sectional study employed Horne and Osteberg Morningness-Eveningness Questionnaires to evaluate chronotype preferences. The chronotype preference of 264 male college students from varied altitude backgrounds indicated significant differences (p < 0.001). Our findings confirm our hypothesis, of the prevalence of M-types dominant chronotype among college students at low than high altitude. However, we did not confirm our second hypothesis, since students from high-altitude backgrounds were generally I-type dominant chronotype. Similarly, students’ academic performances from low- compared to high-altitudes backgrounds also indicated significant differences (p < 0.003). Better academic performances were seen in students with I-type chronotype orientations from high altitudes.     

Teaching Bernoulli's Principle through Demonstrations

ABSTRACT

One proven strategy to help students make sense of abstract concepts is to sequence instruction so students have exploratory opportunities to investigate science before being introduced to new science explanations (Abraham and Renner 1986 Abraham, M. R. and Renner, J. W. 1986. The sequence of learning cycle activities in high school chemistry. Journal of Research in Science Teaching, 23: 121–143. [Crossref], [Web of Science ®] , [Google Scholar]; Renner, Abraham, and Birnie 1988 Renner, J. W., Abraham, M. R. and Birnie, H. H. 1988. The necessity of each phase of the learning cycle in teaching high school physics. Journal of Research in Science Teaching, 25: 39–58. [Crossref], [Web of Science ®] , [Google Scholar]). To help physical science teachers make sense of how to effectively sequence lessons, this article summarizes our experiences using an exploration–explanation sequence of instruction to teach Bernoulli's principle to prospective middle and secondary science teachers in a science methods course. We use demonstrations during our Bernoulli unit to help students go back and forth between their observations of phenomenon and what occurs on the microscopic level with what we have termed molecular talk. Students engage in guiding questions, consider their old and new understandings of science, and use evidence to construct new ideas during all stages of the lesson.     

苎麻属野生植物纤维细胞形态结构与其经济性状和物理性能的关系

以13种苎麻属植物为试验材料,于植物工艺成熟期取样测定经济性状并用显微镜观察横截面及离析纤维细胞形态,研究苎麻属植物纤维细胞形态结构与其经济性状和物理性能的相关性。结果显示:(1)苎麻属野生种质的纤维细胞外观形态表现与栽培种苎麻基本一致,多呈圆形、多边形、椭圆形和肾形等,形态各异,大小不一。(2)茎秆横截面纤维细胞直径、腔径和纤维胞总数都明显少于对照栽培种,与其原麻产量存在不同程度的正相关性。(3)离析纤维细胞长度、宽度、壁厚和结节数与纤维细度存在不显著负相关,且野生苎麻属种质的细胞长度、宽度明显小于栽培种苎麻。研究表明,野生苎麻属种质在提高栽培种产量上无太大效应,但其在优良纤维基因选育方面和改良栽培种苎麻纤维品质上具有重要应用价值。     

Some Effects of Ethanolic Extracts of Potatoes on Phosphorylase Activity

Effects of materials extracted from potatoes with hot 80% ethanol on the course of phosphorylase reactions were examined. These materials had no effect on phosphorylase activities as determined by the rate of liberation of inorganic phosphate from glucose-1-phosphate in the presence of a large amount of primer; however, in the presence of a small amount of primer or in its absence, these materials had significant effects on the liberation of inorganic phosphate and starch formation. These results suggested the presence of a small amount of primers in these materials. Evidence was presented against the participation of d-enzyme on the formation of starch when partially purified preparations of potato phosphorylase or crude extracts from potatoes were used as the enzyme.     

A multi-step directional generalized gradient vector flow snake for target tumor segmentation in US-guided high-intensity focused ultrasound ablation

Getting precise locations of target tumors can help to ensure ablation of cancerous tissues and avoid unwanted destruction of healthy tissues in high-intensity focused ultrasound (HIFU) treatment system. Because of speckle noise and spurious boundaries in ultrasound images, traditional image segmentation methods are not suitable for achieving the precise locations of target tumors in HIFU ablation. In this paper, a multi-step directional generalized gradient vector flow snake model is introduced for target tumor segmentation. In the first step, the traditional generalized gradient vector flow (GGVF) snake is used to obtain an approximate contour of the tumor. According to the approximate contour, a new distance map is generated. Subsequently, a new directional edge map is created by calculating a scalar product of the gradients of the distance map and the initial image. In this process, the gradient directional information and the magnitude information of the distance map are used to attenuate unwanted edges and highlight the real edges in the new directional edge map. Finally, a refined GGVF field is derived from a diffusion operation of the gradient vectors of the directional edge map. The GGVF field is used to refine the tumor's contour, by directing the approximate contour to edges with the desired gradient directionality. Based on the newly developed snake model, the influences of the spurious boundaries and the speckle noise are significantly reduced in the ultrasound image segmentation. Experimental results indicate that this technique is greatly useful for target tumor segmentation in HIFU treatment system     

A simple model predicting individual weight change in humans

Excessive weight in adults is a national concern with over 2/3 of the US population deemed overweight. Because being overweight has been correlated to numerous diseases such as heart disease and type 2 diabetes, there is a need to understand mechanisms and predict outcomes of weight change and weight maintenance. A simple mathematical model that accurately predicts individual weight change offers opportunities to understand how individuals lose and gain weight and can be used to foster patient adherence to diets in clinical settings. For this purpose, we developed a one-dimensional differential equation model of weight change based on the energy balance equation paired to an algebraic relationship between fat-free mass and fat mass derived from a large nationally representative sample of recently released data collected by the Centers for Disease Control. We validate the model's ability to predict individual participants’ weight change by comparing model estimates of final weight data from two recent underfeeding studies and one overfeeding study. Mean absolute error and standard deviation between model predictions and observed measurements of final weights are less than 1.8±1.3 kg for the underfeeding studies and 2.5±1.6 kg for the overfeeding study. Comparison of the model predictions to other one-dimensional models of weight change shows improvement in mean absolute error, standard deviation of mean absolute error, and group mean predictions. The maximum absolute individual error decreased by approximately 60% substantiating reliability in individual weight-change predictions. The model provides a viable method for estimating individual weight change as a result of changes in intake and determining individual dietary adherence during weight-change studies.