Notes

A deep plunge in to CDK4/6 inhibitors: Assessing real life toxicities as well as treatment method paradigms within the seniors population.
In addition, our results confirmed the absence of subclinical optic nerve involvement in NMOSD unlike MS patients.
Our findings showed that although macular and retinal damage occurred in both NMOSD and RRMS patients without significant differences, the severity of injury in eyes with history of ON was significantly higher in NMOSD compared to MS patients, that could be considered as a marker to distinguish them. In addition, our results confirmed the absence of subclinical optic nerve involvement in NMOSD unlike MS patients.Multiple sclerosis (MS) is a complex chronic immune disease in the central nervous system, causing neurological disability among young and middle-aged adults. Impaired cognition is now emerging as a major clinical symptom being present in more than 50% of MS patients. Recent data support that neuroinflammation mediated by glial cells plays a key part in MS course and, particularly, microglia is responsible for the pruning of synapses possibly impacting on vital neural networks maintenance. However, the knowledge of microglia-mediated mechanisms underlying cognitive impairment in MS is poor and unfortunately, there are no medicines to overcome this "invisible" symptom. Interestingly, the use of powerful diagnostic imaging tools as structural and functional MRI as well as PET brought new insights into some biological mechanisms, but no link between the possibility to use early visible alterations to predict cognitive deficits was clarified yet. In this review, we focus on the interplay between MS-related cognitive structures and neuroinflammation, specifically the presence of microglia and their reactivity. Moreover, we also discuss new imaging tools to assess cognitive impairment and to track microglia activation. Understanding the role of microglia in cognitive impairment and how it can be prevented may be a promising contribution to innovative therapeutic strategies that culminate in the improvement of MS patients' life quality.
Pre-existing chronic conditions (morbidities) influence the diagnosis and management of cancer. The prevalence of specific morbidities in patients diagnosed with common and rarer cancers is inadequately described.

Using data from the English National Cancer Diagnosis Audit 2014, we studied 11 pre-existing morbidities recorded as yes/no items by participating general practitioners based on information included in primary care records. We examined the number and type of morbidities across socio-demographic and cancer site strata, and subsequently estimated observed and age/sex standardised prevalence of each morbidity by cancer.

Over three-quarters (77 %; 11,429/14,774) of non-screen-detected patients had at least one chronic condition before diagnosis, while nearly half (47 %) had two or more. Hypertension (39 %) and physical disability (2%) were the most and least common conditions. selleck products Male, older and more socio-economically deprived patients were more likely to have at least one morbidity (p < 0.001 for all between variable group comparisons). For most morbidities, the standardised prevalence was similar across different cancers with a few exceptions, including respiratory disease prevalence being greatest among lung cancer patients and diabetes prevalence being greatest among liver, pancreatic, and endometrial cancer patients.

Most cancer patients have at least one morbidity, while almost one in two have two or more. The findings highlight the need to take certain morbidity- and cancer-site combinations into account when examining associations between morbidity and cancer outcomes.
Most cancer patients have at least one morbidity, while almost one in two have two or more. The findings highlight the need to take certain morbidity- and cancer-site combinations into account when examining associations between morbidity and cancer outcomes.The study aim was to assess the application of atomic force microscopy (AFM) to evaluate erythrocyte morphology in early stages of type 2 diabetes mellitus, and the association with biochemical, anthropometric, diet, and physical activity indicators. This was a pilot cross-sectional study with four groups healthy individuals, people with prediabetes (PDG), metabolic syndrome (MSG), and diabetes mellitus group (DMG). Blood samples were obtained to assess the erythrocyte morphology and biochemical parameters. Anthropometrical measurements were taken. Besides, a diet and a physical activity questionnaire were applied. The evaluation of the erythrocyte morphology through the AFM showed quantitative and qualitative alterations in the cell's form and size. Compared to the healthy group, the PDG had a reduction in height (-0.80 μm, p less then 0.05), and an increase in axial ratio (-0.09 μm, p less then 0.05); the MSG had lower concave depth (-0.19 μm, p less then 0.05); and the DMG had a decreased height (-0.46 μm, p less then 0.05) and concave depth (-0.29 μm, p less then 0.05), and higher axial ratio (+0.08 μm) and thickness (+0.32 μm, p less then 0.05). The PDG vs. DMG had a statistically significant difference in concave depth (+0.23 μm, p less then 0.05) and thickness (-0.26 μm, p less then 0.05). The MSG was different than the DMG in variables like axial ratio (-0.05 μm) and thickness (-0.25 μm). Besides, higher values of age, HbA1c, triglycerides, body mass index, waist-to-hip ratio, and physical inactivity were associated with altered erythrocyte morphology. AFM is a promising instrument to assess early but subtle changes in erythrocyte morphology (height, axial ratio, concave depth, thickness) before significant pathological conditions, such as type 2 diabetes mellitus. HbA1c might have a major effect in altered morphology, vs. metabolic parameters like high triglycerides, body mass index, waist, and physical inactivity.The paper by Raptis et al. concludes that proton therapy has an advantage over photon therapy with respect to the induction of a second cancer. Furthermore, the authors conclude that physiological movements and radiobiological parameters do not affect the general trend of lower risk associated with proton therapy. The work is based on a modeling framework which is different from most previously used models on the same subject. This invited commentary puts the findings of the paper in context with other published modeling studies on second cancer risk after proton and photon radiation therapy for breast cancer.
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