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.
--------
Question: Context: Understanding the dynamics of the gut-brain axis has clinical implications for physical and mental health conditions, including obesity and anxiety. As such disorders have early life antecedents, it is of value to determine if associations between the gut microbiome and behavior are present in early life in humans.', 'We used next generation pyrosequencing to examine associations between the community structure of the gut microbiome and maternal ratings of child temperament in 77 children at 18-27months of age. It was hypothesized that children would differ in their gut microbial structure, as indicated by measures of alpha and beta diversity, based on their temperamental characteristics.', 'Among both boys and girls, greater Surgency/Extraversion was associated greater phylogenetic diversity. In addition, among boys only, subscales loading on this composite scale were associated with differences in phylogenetic diversity, the Shannon Diversity index (SDI), beta diversity, and differences in abundances of Dialister, Rikenellaceae, Ruminococcaceae, and Parabacteroides. In girls only, higher Effortful Control was associated with a lower SDI score and differences in both beta diversity and Rikenellaceae were observed in relation to Fear. Some differences in dietary patterns were observed in relation to temperament, but these did not account for the observed differences in the microbiome.
Answer: Differences in gut microbiome composition, including alpha diversity, beta diversity, and abundances of specific bacterial species, were observed in association with temperament in toddlers. This study was cross-sectional and observational and, therefore, does not permit determination of the causal direction of effects. However, if bidirectional brain-gut relationships are present in humans in early life, this may represent an opportunity for intervention relevant to physical as well as mental health disorders.

Answer: Is gut microbiome composition associated with temperament during early childhood?


Question: Context: A computerized physician order entry (CPOE) system with embedded clinical decision support can reduce medication errors in hospitals, but might increase the time taken to generate orders.', 'We aimed to quantify the effects of temporal (month, day of week, hour of shift) and other factors (grade of doctor, prior experience with the system, alert characteristics, and shift type) on the time taken to generate a prescription order.', 'A large university teaching hospital using a locally developed CPOE system with an extensive audit database.', 'We retrospectively analyzed prescription orders from the audit database between August 2011 and July 2012.', 'The geometric mean time taken to generate a prescription order within the CPOE system was 11.75\u2005s (95% CI 11.72 to 11.78). Time to prescribe was most affected by the display of high-level (24.59\u2005s (24.43 to 24.76); p<0.001) or previously unseen (18.87\u2005s (18.78 to 18.96); p<0.001) alerts. Prescribers took significantly less time at weekends (11.29\u2005s (11.23 to 11.35)) than on weekdays (11.88\u2005s (11.84 to 11.91); p<0.001), in the first (11.25\u2005s (11.16 to 11.34); p<0.001) and final (11.56\u2005s (11.47 to 11.66); p<0.001) hour of their shifts, and after the first month of using the system.
Answer: The display of alerts, prescribing experience, system familiarity, and environment all affect the time taken to generate a prescription order. Our study reinforces the need for appropriate alerts to be presented to individuals at an appropriate place in the workflow, in order to improve prescribing efficiency.

Answer: Do temporal and other factors that influence the time doctors take to prescribe using an electronic prescribing system?


Question: Context: Hepatocyte nuclear factor 4α (HNF4α) is a liver enriched transcription factor and is indispensable for liver development. However, the role of HNF4α in hepatocellular carcinoma (HCC) progression remains to be elucidated. We report that reduced HNF4α expression correlated well with the aggressive clinicopathological characteristics of HCC and predicted poor prognosis of patients. HNF4α levels were even lower in metastatic HCCs, and ectopic HNF4α expression suppressed the metastasis of hepatoma cells both in vitro and in vivo. Forced HNF4α expression attenuated the expression and nuclear translocation of RelA (p65) and impaired NF-κB activation through an IKK-independent mechanism. Blockage of RelA robustly attenuated the suppressive effect of HNF4α on hepatoma cell metastasis. MicroRNA (miR)-7 and miR-124 were transcriptionally up-regulated by HNF4α, which repressed RelA expression by way of interaction with RelA-3' untranslated region (UTR). In addition, nuclear factor kappa B (NF-κB) up-regulated the expression of miR-21 in hepatoma cells, resulting in decreased HNF4α levels through down-regulating HNF4α-3'UTR activity.
Answer: Collectively, an HNF4α-NF-κB feedback circuit including miR-124, miR-7, and miR-21 was identified in HCC, and the combination of HNF4α and NF-κB exhibited more powerful predictive efficiency of patient prognosis. These findings broaden the knowledge of hepatic inflammation and cancer initiation/progression, and also provide novel prognostic biomarkers and therapeutic targets for HCC.

Answer:
Does hepatocyte nuclear factor 4α-nuclear factor-κB feedback circuit modulate liver cancer progression?