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.

[Q]: To examine the lipid profile in Chinese type 2 diabetic patients and their relationship with anthropometric parameters, glycaemic control and cardiovascular mortality.', 'A consecutive cohort of 562 newly referred patients with type 2 diabetes to a hospital-based diabetes centre were examined in 1996. Subjects treated with lipid lowering drugs at the time of referral were excluded. A total of 517 subjects were followed up over a mean (+/-SD) period of 4.6 +/- 0.9 years. Glycated haemoglobin (HbA1c), fasting insulin and lipid profile and anthropometric parameters were documented at the time of recruitment. Cardiovascular mortality, mainly due to coronary heart disease and stroke, was ascertained using death registry and review of hospital case notes in 2001.', 'Of the 517 subjects (mean age of 54.0 +/- 14.0 years), 42.6% were men. In this cohort, 63.3% of subjects were either overweight (BMI > or = 23 kg/m2) or obese (BMI > or = 25 kg/m2) using Asian criteria. The mean (+/-SD) total cholesterol (TC), LDL-Cholesterol (LDL-C), HDL-Cholesterol (HDL-C) and geometric mean (x// antilog SD) of triglycerides (TG) were 5.6 +/- 1.3 mmol/L, 3.6 +/- 1.1 mmol/L, 1.3 +/- 0.3 mmol/L and 1.46x//1.90 mmol/L respectively. TC and LDL-C correlated positively with HbA1c, HDL-C negatively with BMI and WC (waist circumference), while TG positively with HbA1c, BMI, WC and HOMA (insulin resistance estimated using the homeostasis model assessment). During the 4.6 years follow-up period, there were 61 deaths giving a total mortality rate of 11.4%, of which 15 (25%) were because of cardiovascular events. Apart from age and disease duration, logarithm of TG was significantly associated with increased risk of cardiovascular mortality (p = 0.049, relative risk = 2.97, 95% CI 1.00-8.77).
[A]: Does triglyceride predict cardiovascular mortality and its relationship with glycaemia and obesity in Chinese type 2 diabetic patients?


[Q]: Bariatric surgery not only elicits weight loss but also rapidly resolves diabetes. However, the mechanisms remain unclear. The present study investigates how diabetes and liver steatosis are improved after duodenal-jejunal bypass (DJB) compared with a glucagon-like peptide-1 (GLP-1) analog and correlations between bile acids and GLP-1 secretion.', 'We initially determined the effects of bile acids on GLP-1 in vitro and then assigned 12 male 16-week-old Otsuka Long-Evans Tokushima Fatty rats to groups that underwent DJB, a sham operation, or were treated with the GLP-1 receptor agonist, liraglutide (n\u2009=\u20094 each). Blood glucose, insulin, GLP-1, serum bile acids, liver steatosis, and the number of GLP-1 positive cells (L cells) in the small intestine and colon were investigated in the three groups at eight weeks postoperatively.', 'Levels of GLP-1mRNA were upregulated and GLP-1 secretion increased in cells incubated with bile acids in vitro. Weight gain was suppressed more in the DJB than in the sham group in vivo. Diabetes was more improved and GLP-1 levels were significantly higher in the DJB than in the sham group. Serum bile acids were significantly increased, the number of L cells in the ileum was upregulated compared with the sham group, and liver steatosis was significantly improved in the DJB compared with the other two groups.
[A]: Does duodenal-jejunal bypass improve diabetes and liver steatosis via enhanced glucagon-like peptide-1 elicited by bile acids?


[Q]: Mutation rates are consistently varied in cancer genome and play an important role in tumorigenesis, however, little has been known about their function potential and impact on the distribution of functional mutations. In this study, we investigated genomic features which affect mutation pattern and the function importance of mutation pattern in cancer.', 'Somatic mutations of clear-cell renal cell carcinoma, liver cancer, lung cancer and melanoma and single nucleotide polymorphisms (SNPs) were intersected with 54 distinct genomic features. Somatic mutation and SNP densities were then computed for each feature type. We constructed 2856 1-Mb windows, in which each row (1-Mb window) contains somatic mutation, SNP densities and 54 feature vectors. Correlation analyses were conducted between somatic mutation, SNP densities and each feature vector. We also built two random forest models, namely somatic mutation model (CSM) and SNP model to predict somatic mutation and SNP densities on a 1-Kb scale. The relation of CSM and SNP scores was further analyzed with the distributions of deleterious coding variants predicted by SIFT and Mutation Assessor, non-coding functional variants evaluated with FunSeq 2 and GWAVA and disease-causing variants from HGMD and ClinVar databases.', 'We observed a wide range of genomic features which affect local mutation rates, such as replication time, transcription levels, histone marks and regulatory elements. Repressive histone marks, replication time and promoter contributed most to the CSM models, while, recombination rate and chromatin organizations were most important for the SNP model. We showed low mutated regions preferentially have higher densities of deleterious coding mutations, higher average scores of non-coding variants, higher fraction of functional regions and higher enrichment of disease-causing variants as compared to high mutated regions.
[A]:
Is mutation pattern an influential factor on functional mutation rates in cancer?