Publications by authors named "Mike McKenna"
Article Synopsis
- Rare inherited diseases caused by mutations in copper transporters (CTR1) lead to copper deficiency, which can cause severe neurological issues like seizures and neurodegeneration in infants.
- The study explores how neuronal cells react to copper deficiency using various genetic model systems, showing that the absence of CTR1 leads to disrupted cellular functions and a shift toward glycolysis.
- Key findings reveal that the activation of the mTORC1-S6K signaling pathway serves as a protective mechanism to enhance protein synthesis in response to copper deficiency, helping to mitigate some of the detrimental effects on neurons.
Introduction: Given the emergence of combination of programmed cell death protein-1 and CTLA4 pathway blockade as effective treatment options in malignant pleural mesothelioma (MPM), there is interest in the extent to which programmed death-ligand 1 (PD-L1) expression may be prognostic of clinical outcomes and predictive of response to anti-programmed death (ligand) 1 (PD-[L]1) therapies.
Methods: MEDLINE and EMBASE electronic databases were searched until November 4, 2020. English-language randomized trials and observational studies that reported clinical outcomes and PD-L1 expression in adult patients (>18 or >20 y) with MPM were included.
Objective: In CheckMate 743 (NCT02899299), nivolumab + ipilimumab significantly prolonged overall survival in patients with unresectable malignant pleural mesothelioma (MPM). We present patient-reported outcomes (PROs).
Materials And Methods: Patients (N = 605) were randomized to nivolumab + ipilimumab or chemotherapy.
The aim of this systematic literature review was to describe treatment patterns in nonmetastatic non-small-cell lung cancer. A search was conducted in MEDLINE and EMBASE. Eligible studies were multicentered (>50 patients) and conducted after 2000 in North America, Europe and Asia.
View Article and Find Full Text PDFPredictive models of nanoparticle transport can drive design of nanotherapeutic platforms to overcome biological barriers and achieve localized delivery. In this paper, we demonstrate the ability of artificial neural networks to predict both nanoparticle properties, such as size and protein adsorption, and aspects of the brain microenvironment, such as cell internalization, viscosity, and brain region by using large (>100 000) trajectory datasets collected via multiple particle tracking in in vitro gel models of the brain and cultured organotypic brain slices. Our neural network achieved a 0.
View Article and Find Full Text PDFBackground: The economic impact of therapies has increasingly become part of the clinical decision-making process. Costs associated with kidney transplantation are substantial and economic evaluations are useful in identifying immunosuppressive regimens that yield optimal clinical and economic benefits.
Methods: Utilisation of health care resources during the first 6-months after renal transplantation was examined in 557 kidney transplant recipients participating in a European, multicentre, randomised, parallel group study that compared the efficacy and safety of a tacrolimus-based regimen versus a cyclosporin-microemulsion-based regimen.