An Analysis of Horizontal Forces Between Sports

Different sports have various demands that athletes must meet to perform at the requisite level. For example, hockey athletes produce primarily horizontal forces due to skating. However, in basketball, there are a combination of horizontal forces from running and vertical forces from frequent jumping. Therefore, utilizing forces exclusively in one direction as a metric to compare athletes of different sports could provide a limited analysis. PURPOSE: The purpose of this investigation was to compare the relationship between horizontal and vertical forces between athletes who participate in the 4 major sports in the US by using a ratio of horizontal and vertical forces produced, called Fmax ratios. We hypothesized that athletes who move primary horizontally, like hockey players, would have greater Fmax ratios than athletes who participate in sports that involve jumping, like basketball. METHODS: Kinetic data were collected on 28 male athletes (8 baseball, 8 basketball, 6 hockey, 3 football, 22.4±4.53 yrs., 1.86±0.08m, 86.39±8.64kg) who participate in the 4 major US sports. All athletes had their horizontal forces measured using a DynaSpeed MUSCLELAB system. Athletes ran at various %’s of bodyweight using the DynaSpeed, and regression was used to predict peak horizontal forces. To measure vertical forces, athletes performed a countermovement jump on a force platform. Fmax ratios were calculated by dividing peak horizontal force by peak vertical force. A one-way ANOVA was used to compare Fmax ratios between athletes of the 4 major US sports. RESULTS: No differences were found in Fmax ratios between sports (Baseball = 0.22±0.03, Basketball = 0.20±0.02, Hockey = 0.21±0.02, Football = 0.20±0.01, p=0.34). CONCLUSION: Results contradict our hypothesis as no mean differences were found between any sports. Furthermore, an exploratory analysis found no differences in horizontal forces between groups. This suggests that regardless of predominant direction utilized in sport, athletes of different sports still produce the same magnitude of horizontal forces as well as ratios. Future studies that investigate Fmax ratios should aim to measure horizontal and vertical forces simultaneously rather than separately to best capture sport specificity

Roll-Back Eradication of Bovine Tuberculosis (TB) From Wildlife in New Zealand: Concepts, Evolving Approaches, and Progress

The New Zealand government and agricultural industries recently jointly adopted the goal of nationally eradicating bovine tuberculosis (TB) from livestock and wildlife reservoirs by 2055. Only Australia has eradicated TB from a wildlife maintenance host. Elsewhere the disease is often self-sustaining in a variety of wildlife hosts, usually making eradication an intractable problem. The New Zealand strategy for eradicating TB from wildlife is based on quantitative assessment using a Bayesian “Proof of Freedom” framework. This is used to assess the probability that TB has been locally eradicated from a given area. Here we describe the framework (the concepts, methods and tools used to assess TB freedom and how they are being applied and updated). We then summarize recent decision theory research aimed at optimizing the balance between the risk of falsely declaring areas free and the risk of overspending on disease management when the disease is already locally extinct. We explore potential new approaches for further optimizing the allocation of management resources, especially for places where existing methods are impractical or expensive, including using livestock as sentinels. We also describe how the progressive roll-back of locally eradicated areas scales up operationally and quantitatively to achieve and confirm eradication success over the entire country. Lastly, we review the progress made since the framework was first formally adopted in 2011. We conclude that eradication of TB from New Zealand is feasible, and that we are well on the way to achieving this outcome

Whole Genome Sequencing for Determining the Source of Mycobacterium bovis Infections in Livestock Herds and Wildlife in New Zealand.

The ability to DNA fingerprint Mycobacterium bovis isolates helped to define the role of wildlife in the persistence of bovine tuberculosis in New Zealand. DNA fingerprinting results currently help to guide wildlife control measures and also aid in tracing the source of infections that result from movement of livestock. During the last 5 years we have developed the ability to distinguish New Zealand (NZ) M. bovis isolates by comparing the sequences of whole genome sequenced (WGS) M. bovis samples. WGS provides much higher resolution than our other established typing methods and greatly improves the definition of the regional localization of NZ M. bovis types. Three outbreak investigations are described and results demonstrate how WGS analysis has led to the confirmation of epidemiological sourcing of infection, to better definition of new sources of infection by ruling out other possible sources, and has revealed probable wildlife infection in an area considered to be free of infected wildlife. The routine use of WGS analyses for sourcing new M. bovis infections will be an important component of the strategy employed to eradicate bovine TB from NZ livestock and wildlife

Separating species and environmental determinants of leaf functional traits in temperate rainforest plants along a soil-development chronosequence

We measured a diverse range of foliar characteristics in shrub and tree species in temperate rainforest communities along a soil chronosequence (six sites from 8 to 120 000 years) and used multilevel model analysis to attribute the proportion of variance for each trait into genetic (G, here meaning species-level), environmental (E) and residual error components. We hypothesised that differences in leaf traits would be driven primarily by changes in soil nutrient availability during ecosystem progression and retrogression. Several leaf structural, chemical and gas-exchange traits were more strongly driven by G than E effects. For leaf mass per unit area (MA), foliar [N], net CO2 assimilation and dark respiration rates and foliar carbohydrate concentration, the G component accounted for 60–87% of the total variance, with the variability associated with plot, the E effect, much less important. Other traits, such as foliar [P] and N : P, displayed strong E and residual effects. Analyses revealed significant reductions in the slopes of G-only bivariate relationships when compared with raw relationships, indicating that a large proportion of trait–trait relationships is species based, and not a response to environment per se. This should be accounted for when assessing the mechanistic basis for using such relationships in order to make predictions of responses of plants to short-term environmental change

NALP3 inflammasome upregulation and CASP1 cleavage of the glucocorticoid receptor cause glucocorticoid resistance in leukemia cells

Glucocorticoids are universally used in the treatment of acute lymphoblastic leukemia (ALL), and resistance to glucocorticoids in leukemia cells confers poor prognosis. To elucidate mechanisms of glucocorticoid resistance, we determined the prednisolone sensitivity of primary leukemia cells from 444 patients newly diagnosed with ALL and found significantly higher expression of CASP1 (encoding caspase 1) and its activator NLRP3 in glucocorticoid-resistant leukemia cells, resulting from significantly lower somatic methylation of the CASP1 and NLRP3 promoters. Overexpression of CASP1 resulted in cleavage of the glucocorticoid receptor, diminished the glucocorticoid-induced transcriptional response and increased glucocorticoid resistance. Knockdown or inhibition of CASP1 significantly increased glucocorticoid receptor levels and mitigated glucocorticoid resistance in CASP1-overexpressing ALL. Our findings establish a new mechanism by which the NLRP3-CASP1 inflammasome modulates cellular levels of the glucocorticoid receptor and diminishes cell sensitivity to glucocorticoids. The broad impact on the glucocorticoid transcriptional response suggests that this mechanism could also modify glucocorticoid effects in other diseases