1,461 research outputs found

    Transverse venous sinus stenting for idiopathic intracranial hypertension: Safety and feasibility

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    Purpose Transverse sinus stenosis is commonly seen in patients with idiopathic intracranial hypertension. It is not clear whether it is the cause or the result of idiopathic intracranial hypertension. Stenting for idiopathic intracranial hypertension has been carried out in several prior series. Our goal was to evaluate the clinical and imaging follow-up results of patients with idiopathic intracranial hypertension that underwent stenting for this condition at our center. Materials and Methods We reviewed the clinical, venographic and follow-up imaging data in patients who underwent elective transverse sinus stenting during the period from 2011 to 2017. Results In total, 18 patients with idiopathic intracranial hypertension were identified. The mean lumbar cerebrospinal fluid opening pressure recorded was 408 mmH20. Overall, 16 patients met the inclusion criteria and underwent transverse sinus stenting. At venography, the mean pressure gradient across the dominant transverse sinus stenosis was 21 mmHg. The pressure gradient immediately after stenting in all of those measured was negligible. Following stenting, headaches improved in 10 of the 16 cases, with persistent headaches in four patients, one of which had persistent baseline migraines. All cases showed resolution of the papilledema on follow up. Follow-up imaging with computed tomography venography showed that the stents remained widely patent. The follow up in clinic was done for a mean period of 35.5 months. Follow up with computed tomography venography was done for a mean of 10.3 months. Conclusion Venous sinus stenting is a safe and effective procedure. It relieves papilledema in all cases and improves headaches in most cases

    Stress reactivity elicits a tissue-specific reduction in telomere length in aging zebrafish (Danio rerio).

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    Individual differences in personality are associated with variation in healthy aging. Health behaviours are often cited as the likely explanation for this association; however, an underlying biological mechanism may also exist. Accelerated leukocyte telomere shortening is implicated in multiple age-related diseases and is associated with chronic activation of the hypothalamus-pituitary-adrenal (HPA) axis, providing a link between stress-related personality differences and adverse health outcomes. However, the effects of the HPA axis are tissue specific. Thus, leukocyte telomere length may not accurately reflect telomere length in disease-relevant tissues. Here, we examined the correlation between stress reactivity and telomere length in heart and brain tissue in young (6-9 month) and aging (18 month) zebrafish. Stress reactivity was assessed by tank diving and through gene expression. Telomere length was assessed using quantitative PCR. We show that aging zebrafish have shorter telomeres in both heart and brain. Telomere length was inversely related to stress reactivity in heart but not brain of aging individuals. These data support the hypotheses that an anxious predisposition contributes to accelerated telomere shortening in heart tissue, which may have important implications for our understanding of age-related heart disease, and that stress reactivity contributes to age-related telomere shortening in a tissue-specific manner

    Tendinopathy—from basic science to treatment

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    Chronic tendon pathology (tendinopathy), although common, is difficult to treat. Tendons possess a highly organized fibrillar matrix, consisting of type I collagen and various 'minor' collagens, proteoglycans and glycoproteins. The tendon matrix is maintained by the resident tenocytes, and there is evidence of a continuous process of matrix remodeling, although the rate of turnover varies at different sites. A change in remodeling activity is associated with the onset of tendinopathy. Major molecular changes include increased expression of type III collagen, fibronectin, tenascin C, aggrecan and biglycan. These changes are consistent with repair, but they might also be an adaptive response to changes in mechanical loading. Repeated minor strain is thought to be the major precipitating factor in tendinopathy, although further work is required to determine whether it is mechanical overstimulation or understimulation that leads to the change in tenocyte activity. Metalloproteinase enzymes have an important role in the tendon matrix, being responsible for the degradation of collagen and proteoglycan in both healthy patients and those with disease. Metalloproteinases that show increased expression in painful tendinopathy include ADAM (a disintegrin and metalloproteinase)-12 and MMP (matrix metalloproteinase)-23. The role of these enzymes in tendon pathology is unknown, and further work is required to identify novel and specific molecular targets for therapy

    The Impact of the Unstructured Contacts Component in Influenza Pandemic Modeling

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    Individual based models have become a valuable tool for modeling the spatiotemporal dynamics of epidemics, e.g. influenza pandemic, and for evaluating the effectiveness of intervention strategies. While specific contacts among individuals into diverse environments (family, school/workplace) can be modeled in a standard way by employing available socio-demographic data, all the other (unstructured) contacts can be dealt with by adopting very different approaches. This can be achieved for instance by employing distance-based models or by choosing unstructured contacts in the local communities or by employing commuting data.Here we show how diverse choices can lead to different model outputs and thus to a different evaluation of the effectiveness of the containment/mitigation strategies. Sensitivity analysis has been conducted for different values of the first generation index G(0), which is the average number of secondary infections generated by the first infectious individual in a completely susceptible population and by varying the seeding municipality. Among the different considered models, attack rate ranges from 19.1% to 25.7% for G(0) = 1.1, from 47.8% to 50.7% for G(0) = 1.4 and from 62.4% to 67.8% for G(0) = 1.7. Differences of about 15 to 20 days in the peak day have been observed. As regards spatial diffusion, a difference of about 100 days to cover 200 km for different values of G(0) has been observed.To reduce uncertainty in the models it is thus important to employ data, which start being available, on contacts on neglected but important activities (leisure time, sport mall, restaurants, etc.) and time-use data for improving the characterization of the unstructured contacts. Moreover, all the possible effects of different assumptions should be considered for taking public health decisions: not only sensitivity analysis to various model parameters should be performed, but intervention options should be based on the analysis and comparison of different modeling choices
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