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.
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Question: Context: The measurement of affective symptoms in older persons who decline cognitively is uncertain. The authors investigated whether mood variability predicts dementia in patients with age-related macular degeneration (AMD).', 'Three-year observational study after a clinical trial.', 'Community follow-up of outpatients ascertained from retina clinics.', 'One hundred sixty patients with AMD.', "Geriatric Depression Scale (GDS) administered every 2 weeks for 6 months to subjects; Informant Questionnaire for Cognitive Decline in the Elderly (IQCODE) administered to subjects' knowledgeable informants.", 'Twenty-three subjects (14.4%) declined cognitively. Age, education, baseline GDS score > or =5, and variability in GDS scores (i.e., fluctuations between adjacent time points) were associated with cognitive decline. For GDS variability, each 1 unit increase in the residual standard deviation (SD) of the GDS increased the risk for cognitive decline by 93% (IDR = 1.92; 95% CI [1.27-2.91]). Thus, subjects with a residual SD of 1 were nearly twice as likely to become demented as subjects with no variability in GDS scores. The risk for subjects with SDs of 2 increased more than threefold (IDR = 3.68; 95% CI [1.61-8.47]). A multiple regression analysis showed that GDS variability was a significant risk factor for dementia after controlling for significant covariates.\Question: Does variability in depressive symptoms predict cognitive decline in age-related macular degeneration?

Answer: These data suggest a useful approach to conceptualizing and measuring depressive symptoms in older persons. Variability in self-reported mood may be an early sign of dementia and may offer new insights into the neurobiological mechanisms linking depression and cognition


Question: Context: Burns cause thermal injury to local tissue and trigger systemic acute inflammatory processes, which may lead to multiple distant organ dysfunction. We investigated the protective effect of dietary whey supplementation on distant organs in a rat model.', 'Forty-eight rats were divided into six groups of eight: groups 1 and 2 were the controls, fed a standard diet and a whey-supplemented diet, respectively; groups 3 and 4 were fed a standard diet and subjected to burn injury; and groups 5 and 6 were fed a whey-supplemented diet and subjected to burn injury. We measured the oxidative stress variables, as well as glutathione in the liver and kidney, and histologically examined skin samples obtained 4 h (groups 3 and 5) and 72 h (groups 4 and 6) after burn injury.', 'Glutathione (GSH) levels remained the same in the liver but were slightly elevated in the kidneys after burn injury in the rats fed a standard diet. Whey supplementation caused a significant increase in hepatic GSH levels 4 h after burn injury. Moreover, there was a significant rebound effect in the liver and kidney GSH levels after 72 h and whey supplementation potentiated this effect. Hepatic and renal lipid peroxide levels were also increased 4 h after burn injury in the rats fed a standard diet. Whey supplementation significantly suppressed the burn-induced increase in hepatic and renal lipid peroxide levels. Histological examination revealed that although whey supplementation resulted in decreased subepidermal inflammation, the indicators of wound healing and collagen deposition were not improved.\Question: Does whey feeding suppress the measurement of oxidative stress in experimental burn injury?

Answer: Whey pretreatment suppressed hepatic and renal oxidative stress measurements after experimental burn injury.


Question: Context: Detection of drug-induced pro-arrhythmic risk is a primary concern for pharmaceutical companies and regulators. Increased risk is linked to prolongation of the QT interval on the body surface ECG. Recent studies have shown that multiple ion channel interactions can be required to predict changes in ventricular repolarisation and therefore QT intervals. In this study we attempt to predict the result of the human clinical Thorough QT (TQT) study, using multiple ion channel screening which is available early in drug development.', "Ion current reduction was measured, in the presence of marketed drugs which have had a TQT study, for channels encoded by hERG, CaV1.2, NaV1.5, KCNQ1/MinK, and Kv4.3/KChIP2.2. The screen was performed on two platforms - IonWorks Quattro (all 5 channels, 34 compounds), and IonWorks Barracuda (hERG & CaV1.2, 26 compounds). Concentration-effect curves were fitted to the resulting data, and used to calculate a percentage reduction in each current at a given concentration. Action potential simulations were then performed using the ten Tusscher and Panfilov (2006), Grandi et al. (2010) and O'Hara et al. (2011) human ventricular action potential models, pacing at 1Hz and running to steady state, for a range of concentrations.", 'We compared simulated action potential duration predictions with the QT prolongation observed in the TQT studies. At the estimated concentrations, simulations tended to underestimate any observed QT prolongation. When considering a wider range of concentrations, and conventional patch clamp rather than screening data for hERG, prolongation of ≥5ms was predicted with up to 79% sensitivity and 100% specificity.\Question: Does prediction of Thorough QT study result using action potential simulations based on ion channel screens?

Answer:
This study provides a proof-of-principle for the prediction of human TQT study results using data available early in drug development. We highlight a number of areas that need refinement to improve the method's predictive power, but the results suggest that such approaches will provide a useful tool in cardiac safety assessment.