Given a passage, 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.

Input: Consider Input: Prostate cancer is one of the most common complex diseases with high leading cause of death in men. Identifications of prostate cancer associated genes and biomarkers are thus essential as they can gain insights into the mechanisms underlying disease progression and advancing for early diagnosis and developing effective therapies.', 'In this study, we presented an integrative analysis of gene expression profiling and protein interaction network at a systematic level to reveal candidate disease-associated genes and biomarkers for prostate cancer progression. At first, we reconstructed the human prostate cancer protein-protein interaction network (HPC-PPIN) and the network was then integrated with the prostate cancer gene expression data to identify modules related to different phases in prostate cancer. At last, the candidate module biomarkers were validated by its predictive ability of prostate cancer progression.', 'Different phases-specific modules were identified for prostate cancer. Among these modules, transcription Androgen Receptor (AR) nuclear signaling and Epidermal Growth Factor Receptor (EGFR) signalling pathway were shown to be the pathway targets for prostate cancer progression. The identified candidate disease-associated genes showed better predictive ability of prostate cancer progression than those of published biomarkers. In context of functional enrichment analysis, interestingly candidate disease-associated genes were enriched in the nucleus and different functions were encoded for potential transcription factors, for examples key players as AR, Myc, ESR1 and hidden player as Sp1 which was considered as a potential novel biomarker for prostate cancer.

Output: Does integrative analysis reveal disease-associated genes and biomarkers for prostate cancer progression?


Input: Consider Input: Inadequate nutrition in very-low-birthweight (VLBW) infants is known to be associated with growth failure and poor neurological outcomes. We aimed to investigate the association of early aggressive protein and energy intakes with weight gain and 18-month neurodevelopmental outcomes in VLBW infants.', "A total of 90 infants among 129 infants who survived to discharge were included and divided into two groups (early aggressive nutrition [n = 52] vs conventional nutrition [n = 38]). Clinical findings were compared between the two groups and daily protein and energy intakes were collected for the first 4 weeks of life. Multiple regression analyses tested the association between weekly protein or energy intakes and the result of each category of the Denver Developmental Screening Test II at 18 months' corrected age or weight gain.", "The early aggressive nutrition group had higher rates of normal language development and lower rates of growth failure (<10th percentile) at both 40 weeks' and 18 months' corrected age compared to the conventional nutrition group. After controlling for the confounding variables, higher first week protein and energy intakes each independently contributed to normal language development (odds ratio [95% confidence interval]; 9.4 [1.8-49.6] per 1\u2009g/kg of protein increase and 1.7 [1.1-2.8] per 10\u2009kcal/kg of energy increase). Higher first-week protein intake was associated with a higher weight at 40 weeks' corrected age (r = 0.41, P = 0.005).

Output: Does early aggressive nutrition enhance language development in very low-birthweight infants?


Input: Consider Input: Faster resting heart rate (HR), which is associated with inflammation and elevated cortisol levels, is a risk factor for excess cardiovascular morbidity and mortality. Obesity is associated with increased cardiovascular morbidity and mortality, inflammation, and elevated cortisol levels. The aim of the present study was to evaluate the interaction of Body Mass Index (BMI) with inflammation and cortisol in modulating HR in older subjects.', 'We analyzed data of 895 participants aged 65+ enrolled in the "InCHIANTI" study, in sinus rhythm, and not taking beta blockers or digoxin. Linear regression was performed to assess the adjusted association between HR, IL-6, and cortisol levels. The model was also analyzed stratifying for BMI tertiles. Logistic regression was adopted for evaluating the association of HR exceeding the mean value with Il-6 and serum cortisol.', 'According to multivariable linear regression, IL-6 and cortisol levels were associated with HR (B = 1.42, 95% CI = 0.43-2.42; p = .005 and B = .34, 95% CI = 0.17-.51; p < .0001, respectively). The association was significant only among women in the highest BMI tertile (B = 4.16, 95% CI = 1.40-6.91; p = .003 for IL-6 and B = .57, 95% CI = 0.14-1.01; p = .010 for cortisol). Logistic regression confirmed that IL-6 and cortisol levels were associated with HR above the mean value in the highest BMI tertile (OR = 2.13, 95% CI = 1.15-3.97; p = .009 and OR = 1.14, 95% CI = 1.03-1.25; p = .009, respectively).


Output: Do associations of Heart Rate With Inflammatory Markers Are Modulated by Gender and Obesity in Older Adults?