In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Q: Context: Serum uric acid (SUA) has been associated to incident hypertension and increased risk of cardiovascular diseases.', 'Among the 2191 subjects enrolled during the last population survey of the Brisighella Heart Study, we identified 146 new cases of arterial hypertension and 394 treated but uncontrolled hypertensive patients with different levels of SUA. Their hemodynamic characteristics have been compared with those of age- and sex-matched normotensive (N. 324) and controlled hypertensive (N. 470) subjects. Then, by logistic regression analysis, we evaluated which factors were associated with a worse BP control under pharmacological treatment.', 'SUA levels were significantly higher in untreated hypertensive and uncontrolled hypertensive patients when compared to normotensives and controlled hypertensive patients. Pulse wave velocity (PWV) was significantly higher (p<0.001) in undiagnosed and uncontrolled hypertensive patients, while controlled hypertensive patients had PWV values comparable to normotensive controls. A similar trend has been observed for the augmentation index (AI). A worse BP control was associated with SUA levels (OR 1277, 95% CI 1134-1600 per mg/dL), AI (OR 1066, 95%CI 1041-1092 per unit), and PWV (OR 1201, 95% CI 1089-1423, per m/s), but not with age, body mass index, nor estimated glomerular filtration rate.\Question: Is high serum uric acid associated to poorly controlled blood pressure and higher arterial stiffness in hypertensive subjects?

A: Based on our data, SUA seems to be associated with an inadequate BP control in subjects treated with antihypertensive drugs, and subjects with both uncontrolled BP and relatively high SUA levels have also an increased arterial stiffness that (per se) could be a cause of worse BP control under treatment.
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Q: Context: Recent studies have identified MUC4 mucin as a ligand for activation of ErbB2, a receptor tyrosine kinase that modulates epithelial cell proliferation following epithelial damage in airways of asthmatics. In this study, we investigated the potential role of IL-4, one of the Th2 inflammatory cytokines persistent in asthmatic airways, in regulating MUC4 expression using a cell line NCI-H650.', 'Real time PCR analysis was performed to determine concentration and time dependent effects of IL-4 upon MUC4 expression. Nuclear run on experiments were carried out to explore potential transcriptional modulation. Western blotting experiments using a monoclonal antibody specific to ASGP-2 domain of MUC4 were performed to analyze MUC4 glycoprotein levels in plasma membrane fractions. To analyze potential signal transduction cascades, IL-4 treated confluent cultures were co-incubated, separately with a pan-JAK inhibitor, a JAK-3 selective inhibitor or a MEK-1, 2 (MAPK) inhibitor at various concentrations before MUC4 transcript analysis. Corresponding transcription factor activation was tested by western blotting using a monoclonal p-STAT-6 antibody.', 'MUC4 levels increased in a concentration and time specific fashion reaching peak expression at 2.5 ng/ml and 8 h. Nuclear run on experiments revealed transcriptional enhancement. Corresponding increases in MUC4 glycoprotein levels were observed in plasma membrane fractions. Pan-JAK inhibitor revealed marked reduction in IL-4 stimulated MUC4 levels and JAK3 selective inhibitor down-regulated MUC4 mRNA expression in a concentration-dependent fashion. In accordance with the above observations, STAT-6 activation was detected within 5 minutes of IL-4 stimulus. No effect in MUC4 levels was observed on using a MAPK inhibitor.\Question: Is iL-4 induced MUC4 enhancement in respiratory epithelial cells in vitro mediated through JAK-3 selective signaling?

A: These observations signify a potential role for IL-4 in MUC4 up-regulation in airway epithelia.
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Q: Context: The involvement of subcortical deep gray matter and cortical thinning associated with mild Parkinson disease remains poorly understood. We assessed cortical thickness and subcortical volumes in patients with Parkinson disease without dementia and evaluated their associations with cognitive dysfunction.', 'The study included 90 patients with mild Parkinson disease without dementia. Neuropsychological assessments classified the sample into patients with mild cognitive impairment (n = 25) and patients without cognitive impairment (n = 65). Volumetric data for subcortical structures were obtained by using the FMRIB Integrated Registration and Segmentation Tool while whole-brain, gray and white matter volumes were estimated by using Structural Image Evaluation, with Normalization of Atrophy. Vertex-based shape analyses were performed to investigate shape differences in subcortical structures. Vertex-wise group differences in cortical thickness were also assessed. Volumetric comparisons between Parkinson disease with mild cognitive impairment and Parkinson disease with no cognitive impairment were performed by using ANCOVA. Associations of subcortical structures with both cognitive function and disease severity were assessed by using linear regression models.', 'Compared with Parkinson disease with no cognitive impairment, Parkinson disease with mild cognitive impairment demonstrated reduced volumes of the thalamus (P = .03) and the nucleus accumbens (P = .04). Significant associations were found for the nucleus accumbens and putamen with performances on the attention/working memory domains (P < .05) and nucleus accumbens and language domains (P = .04). The 2 groups did not differ in measures of subcortical shape or in cortical thickness.\Question: Is subcortical atrophy associated with cognitive impairment in mild Parkinson disease : a combined investigation of volumetric changes , cortical thickness , and vertex-based shape analysis?

A:
Patients with Parkinson disease with mild cognitive impairment demonstrated reduced subcortical volumes, which were associated with cognitive deficits. The thalamus, nucleus accumbens, and putamen may serve as potential biomarkers for Parkinson disease-mild cognitive impairment.
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