TASK DEFINITION: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
PROBLEM: Context: Blood oxygen level-dependent (BOLD) MRI has been effectively used to monitor changes in renal oxygenation. However, R2* (or T2*) is not specific to blood oxygenation and is dependent on other factors. This study investigates the use of a statistical model that takes these factors into account and maps BOLD MRI measurements to blood pO2.', "Spin echo and gradient echo images were obtained in six Sprague-Dawley rats and R2 and R2* maps were computed. Measurements were made at baseline, post-nitric oxide synthase inhibitor (L-NAME), and post-furosemide administration. A simulation of each region was performed to map R2' (computed as R2*-R2) to blood pO2.", 'At baseline, blood pO2 in the outer medulla was 30.5\u2009±\u20091.2 mmHg and 51.9\u2009±\u20095.2 mmHg in the cortex, in agreement with previous invasive studies. Blood pO2 was found to decrease within the outer medulla following L-NAME (P\u2009<\u20090.05) and increase after furosemide (P\u2009<\u20090.05). Blood pO2 in the cortex increased following furosemide (P\u2009<\u20090.05).
Answer: Model-derived blood pO2 is sensitive to pharmacological challenges, and baseline pO2 is comparable to literature values. Reporting pO2 instead of R2* could lead to a greater clinical impact of renal BOLD MRI and facilitate the identification of hypoxic regions. Magn Reson Med, 2016. © 2016 International Society for Magnetic Resonance in Medicine.

SOLUTION: Is bOLD quantified renal pO2 sensitive to pharmacological challenges in rats?

PROBLEM: Context: Visceral obesity is shown to be a predictor of morbidity and mortality. We evaluated the association of measurements of generalized adiposity and visceral fat area (VFA), with abnormalities of metabolic syndrome (MS).', 'Seventy-six women (47.9 +/- 9.2 years) with BMI of 38.7 +/- 5.4 kg/m(2) underwent anthropometric measurements, laboratory procedures, bioeletrical impedance, and abdominal computed tomography (CT) scan. Diagnosis of MS was based on the presence of abdominal obesity and at least two of the following components: hypertension, dyslipidemia, and glucose intolerance and/or hyperinsulinemia.', 'BMI was correlated with both components of adipose tissue--subcutaneous (r = 0.66, P < 0.01) and VFA (r = 0.33, P < 0.02)--and leptin levels (r = 0.38, P < 0.01). In contrast, VFA was correlated with 2-h glucose and insulin levels (r = 0.32 and 0.35, P < 0.05, respectively), triglyceride, HDL cholesterol, and uric acid (r = 0.33, -0.34 and 0.24, P < 0.05, respectively). Subjects with high VFA, matched for BMI, showed greater plasma glucose area under the curve (621 +/- 127 vs. 558 +/- 129 mg x h(-1) x dl(-1), P < 0.05), 2-h insulin (804 +/- 599 vs. 579 +/- 347 pmol/l, P < 0.05), and uric acid levels (0.33 +/- 0.07 vs. 0.26 +/- 0.06 mmol/l, P < 0.05) than subjects with low VFA. In logistic regression analysis, waist circumference, VFA, and 2-h insulin were identified as independent predictors of MS. Receiver operating characteristic curve analysis pointed out the values of 104 cm for waist circumference (58.1% specificity, 84.1% sensitivity), 158.5 cm(2) for VFA (78.1% specificity, 52.3% sensitivity), and 559.8 pmol/l for 2-h insulin (71.9% specificity, 69.8% sensitivity); the presence of at least two of the three variables resulted in a degree of concordance of 76%.
Answer: While BMI was unable to differentiate between obese people and those at higher risk for MS, abdominal fat was shown to be associated with its metabolic abnormalities. The usefulness of abdominal fat in the identification of high-risk subjects may be improved when combined with 2-h insulin determination.

SOLUTION: Does two-hour insulin determination improve the ability of abdominal fat measurement to identify risk for the metabolic syndrome?

PROBLEM: Context: Endoplasmic reticulum (ER) stress is induced in many forms of chronic liver disease and may promote the development of hepatocellular carcinoma. The activator protein 1 (AP-1) complex is a transcription factor that promotes hepatic carcinogenesis in response to cellular stress. The aim of this study was to determine the role of ER stress in the regulation of the hepatic AP-1 complex.', 'Human hepatocellular carcinoma (HepG2) cells and C57BL/6J mice were subjected to pharmacologic ER stress and the expression of AP-1-associated genes and proteins was assessed. To determine the role of MAPK signaling in ER stress-induced AP-1 activation, ER stress was induced in JNK- and ERK-inhibited HepG2 cells.', 'Induction of ER stress promoted the activation of both Jun- and Fos-related genes and proteins of the AP-1 complex in HepG2 cells and murine liver. Inhibition of ERK phosphorylation in HepG2 cells completely prevented ER stress-induced activation of the fos-related components of AP-1 whereas activation of Jun-related components was only partially attenuated. Conversely, inhibition of JNK phosphorylation in HepG2 cells reduced ER stress-induced activation of Jun-related components but did not prevent activation of fos-related components.
Answer: ER stress activates the hepatic AP-1 complex via MAPK-dependent signaling pathways. ER stress-induced activation of Fos-related components is dependent primarily on ERK activation whereas ER stress-induced activation of Jun-related components is dependent primarily on JNK activation, although there is interplay between these regulatory pathways. These data implicate a novel signaling pathway by which sustained ER stress, as observed in many chronic liver diseases, may promote hepatic carcinogenesis.

SOLUTION:
Does endoplasmic reticulum stress activate the hepatic activator protein 1 complex via mitogen activated protein kinase-dependent signaling pathways?