4 research outputs found
Clinical and Functional Characterization of the Recurrent TUBA1A p.(Arg2His) Mutation
The TUBA1A gene encodes tubulin alpha-1A, a protein that is highly expressed in the fetal brain. Alpha- and beta-tubulin subunits form dimers, which then co-assemble into microtubule polymers: dynamic, scaffold-like structures that perform key functions during neurogenesis, neuronal migration, and cortical organisation. Mutations in TUBA1A have been reported to cause a range of brain malformations. We describe four unrelated patients with the same de novo missense mutation in TUBA1A, c.5G>A, p.(Arg2His), as found by next generation sequencing. Detailed comparison revealed similar brain phenotypes with mild variability. Shared features included developmental delay, microcephaly, hypoplasia of the cerebellar vermis, dysplasia or thinning of the corpus callosum, small pons, and dysmorphic basal ganglia. Two of the patients had bilateral perisylvian polymicrogyria. We examined the effects of the p.(Arg2His) mutation by computer-based protein structure modelling and heterologous expression in HEK-293 cells. The results suggest the mutation subtly impairs microtubule function, potentially by affecting inter-dimer interaction. Based on its sequence context, c.5G>A is likely to be a common recurrent mutation. We propose that the subtle functional effects of p.(Arg2His) may allow for other factors (such as genetic background or environmental conditions) to influence phenotypic outcome, thus explaining the mild variability in clinical manifestations
Negotiation and Capital: Athletes’ Use of Power in an Elite Men’s Rowing Program.
The aim of this paper is to examine how power is given, acquired and used by athletes in the elite sporting context. It focuses on a top-level athlete’s reactions to the behaviors of his coaches and how such actions contribute to the creation of a coaching climate, which both influences and ‘houses’ coaching (Cushion & Jones, 2006). The paper centres on Sean (a pseudonym), a top-level rower and his preparation for crew selection to the upcoming international regatta season. Specifically, it illustrates Sean’s interaction with those responsible for a national rowing programme following his decision not to participate in an aspect of that programme. Sean’s story, from both his own and the perspectives of his coaches, is presented using a variation of realist tales which draw upon excerpts from field-notes and interview transcripts. Bourdieu’s (1989) notion of capital is primarily utilized to analyze the data. Findings demonstrate how the various aspects of capital are defined, used and negotiated by social actors within the context of elite sport. The significance of the work lies in generating a greater understanding of power dynamics within the coaching context
Age, successive waves, immunization, and mortality in elderly COVID-19 hematological patients: EPICOVIDEHA findings
Objectives: Elderly patients with hematologic malignancies face the highest risk of severe COVID-19 outcomes. The infection's impact on different age groups remains unstudied in detail. Methods: We analyzed elderly patients (age groups: 65-70, 71-75, 76-80, and >80 years old) with hematologic malignancies included in the EPICOVIDEHA registry between January 2020 and July 2022. Univariable and multivariable Cox regression models were conducted to identify factors influencing death in COVID-19 patients with hematological malignancy. Results: The study included data from 3,603 elderly patients (aged 65 or older) with hematological malignancy, with a majority being male (58.1%) and a significant proportion having comorbidities. The patients were divided into four age groups, and the analysis assessed COVID-19 outcomes, vaccination status, and other variables in relation to age and pandemic waves. The 90-day survival rate for patients with COVID-19 was 71.2%, with significant differences between groups. The pandemic waves had varying impacts, with the first wave affecting patients over 80 years old, the second being more severe in 65-70, and the third being the least severe in all age groups. Factors contributing to 90-day mortality included age, comorbidities, lymphopenia, active malignancy, acute leukemia, less than three vaccine doses, severe COVID-19, and using only corticosteroids as treatment. Conclusion: These data underscore the heterogeneity of elderly hematological patients, highlight the different impacts of COVID-19 waves and the pivotal importance of vaccination, and may help in planning future healthcare efforts