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.

Example Input: Patients with alcoholic liver disease (ALD) display inflammation of the subcutaneous adipose tissue (SAT) which correlates with liver lesions. We examined macrophage markers and polarization in the SAT of alcoholic patients and adipokine expression according to liver inflammation; we studied the consequences of alcohol withdrawal.', 'Forty-seven patients with ALD were prospectively included. SAT and blood samples were collected at inclusion and after 1\xa0week of alcohol withdrawal. Pro-inflammatory cytokines/chemokines, inflammasome components and products, adipokine expression levels, macrophage markers and polarization in liver and SAT samples were assessed by RT-PCR arrays.', 'mRNA expression level of chemokines (IL8, semaphorin 7A) correlated with hepatic steatosis in both liver and SAT. Liver expression of inflammasome components (IL1β, IL18, caspase-1) and SAT IL6 and CCL2 correlated with liver damage. In patients with mild ALD, 1\xa0week of alcohol withdrawal was sufficient to decrease expression level of total macrophage markers in the adipose tissue, to orient adipose tissue macrophages (ATM) towards an anti-inflammatory M2 phenotype and to decrease the mRNA expression of cytokines/chemokines (IL18, CCL2, osteopontin, semaphorin 7A). In patients with severe ALD, 1\xa0week of abstinence was also associated with an increase in CCL18 expression.
Example Output: Does alcohol withdrawal alleviate adipose tissue inflammation in patients with alcoholic liver disease?

Example Input: The stress electrocardiogram (sECG) is routinely used to screen individuals for underlying cardiac pathology before an exercise programme is prescribed. The underlying assumption is that the cardiac responses elicited during the sECG test are similar to those achieved during participation in sporting activities. However, this premise may be incorrect since the physical demands of different modes of exercise vary substantially.', "Ten veteran league squash players (LSP), 10 social squash players (SSP), 10 league runners (LR), 10 social runners (SR) and 10 sedentary individuals (SED) were recruited for the study. All subjects completed a lifestyle questionnaire, a full medical examination and a routine sECG. Thereafter each subject's heart rate (HR) was monitored on two separate occasions while participating in sporting activity.", 'No sECG exercise-induced abnormalities were observed, although five subjects showed resting abnormalities. Maximal HR during the sECG, and maximal and mean HR during the field tests, were not significantly different between groups. However, maximal HR was significantly higher in all groups during their sporting activities than during stress testing in the laboratory (P < 0.01).
Example Output: Do veteran athletes exercise at higher maximum heart rates than are achieved during standard exercise ( stress ) testing?

Example Input: DNA methylation is an important type of epigenetic modification involved in gene regulation. Although strong DNA methylation at promoters is widely recognized to be associated with transcriptional repression, many aspects of DNA methylation remain not fully understood, including the quantitative relationships between DNA methylation and expression levels, and the individual roles of promoter and gene body methylation.', 'Here we present an integrated analysis of whole-genome bisulfite sequencing and RNA sequencing data from human samples and cell lines. We find that while promoter methylation inversely correlates with gene expression as generally observed, the repressive effect is clear only on genes with a very high DNA methylation level. By means of statistical modeling, we find that DNA methylation is indicative of the expression class of a gene in general, but gene body methylation is a better indicator than promoter methylation. These findings are general in that a model constructed from a sample or cell line could accurately fit the unseen data from another. We further find that promoter and gene body methylation have minimal redundancy, and either one is sufficient to signify low expression. Finally, we obtain increased modeling power by integrating histone modification data with the DNA methylation data, showing that neither type of information fully subsumes the other.
Example Output:
Does whole-genome bisulfite sequencing of multiple individuals reveal complementary roles of promoter and gene body methylation in transcriptional regulation?