The aim of this study were to investigate the effects of playing position, pitch location, team ability and opposition ability on the physical activity profiles of English premier league soccer players in difference score line states. A validated automatic tracking system (Venatrack Ltd.) was used to track players in real time (at 25 Hz) for total distance covered, high speed running distance and sprint distance. This is the first study to include every team from an entire season in the English premier league, resulting in 376 games, 570 players and 35 000 rows of data from the 2011-12 season being analyzed using multi-level modelling. Multi-level regression revealed an inverted "u" shaped association between total distance covered and goal difference (GD), with greater distances covered when GD was zero and reduced distances when GD was either positive or negative. A similar "u" shaped association was found with high speed distance covered at home. In addition distance covered (both at home and away) were predicted by playing position. All activity profiles (with the exception of sprint distance at home) were predicted by pitch location and time scored. Lastly, distance away from home and high speed running at home were predicted by opposition ability. Score line appears to effect player activity profiles across a number of situational factors and thus should be considered by managers when preparing and selecting teams to maximize performance. The current study also highlighted the need for more sensitive score line definitions in which to consider score line effects.
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http://dx.doi.org/10.1111/sms.13271 | DOI Listing |
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Physiology, College of Medicine, King Saud University, 12271, Riyadh, Saudi Arabia.
Ischemia-reperfusion injury (IRI) is a common pathogenic situation that arises throughout all liver surgeries, including liver transplants. We aimed to compare the preventive effects of valsartan (VST) against valsartan + sacubitril (LCZ696) on hepatic injury caused by IRI. A total of thirty-six male Westar albino rats were split into six groups randomly: sham, IRI, VST + IRI, LCZ696 + IRI, VST, and LCZ696.
View Article and Find Full Text PDFCurr Opin Oncol
January 2025
San Roque Hospital, Lanzarote, Spain.
Purpose Of Review: Recent research underscores the significant influence of the skin and gut microbiota on melanoma and nonmelanoma skin cancer (NMSC) development and treatment outcomes. This review aims to synthesize current findings on how microbiota modulates immune responses, particularly enhancing the efficacy of immunotherapies such as immune checkpoint inhibitors (ICIs).
Recent Findings: The microbiota's impact on skin cancer is multifaceted, involving immune modulation, inflammation, and metabolic interactions.
Thyroid
January 2025
Department of Cancer Biology and Genetics, The Ohio State University, Columbus, Ohio, USA.
Medullary thyroid cancer (MTC) is a frequently metastatic tumor of the thyroid that develops from the malignant transformation of C-cells. These tumors most commonly have activating mutations within the RET or RAS proto-oncogenes. Germline mutations within RET result in C-cell hyperplasia, and cause the MTC pre-disposition disorder, multiple endocrine neoplasia, type 2A (MEN2A).
View Article and Find Full Text PDFEur J Neurol
February 2025
Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
Objective: Disorders of arousal (DoA) are characterized by an intermediate state between wakefulness and deep sleep, leading to incomplete awakenings from NREM sleep. Multimodal studies have shown subtle neurophysiologic alterations even during wakefulness in DoA. The aim of this study was to explore the brain functional connectivity in DoA and the metabolic profile of the anterior and posterior cingulate cortex, given its pivotal role in cognitive and emotional processing.
View Article and Find Full Text PDFBiol Aujourdhui
January 2025
Sorbonne Université, CNRS, Inserm U1156, Institut de Biologie Paris Seine, Laboratoire de Biologie du Développement/UMR7622, 9 Quai St-Bernard, 75005 Paris, France.
The advent of high-throughput omics data and the generation of new algorithms provide the biologists with the opportunity to explore living processes in the context of systems biology aiming at revealing the gene interactions, the networks underlying complex cellular functions. In this article, we discuss two methods for gene network reconstruction, WGCNA (Weighted Gene Correlation Network Analysis) developed by Steve Horvath and collaborators in 2008, and MIIC (Multivariate Information-based Inductive Causation) developed by Hervé Isambert and his team in 2017 and 2024. These two methods are complementary, WGCNA generating undirected networks in which most gene-to-gene interactions are indirect, while MIIC reveals direct interactions and some causal links.
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