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: The objective of this study is to characterize differential proteomic expression among well-differentiation and poor-differentiation colorectal carcinoma tissues and normal mucous epithelium.', 'The study is based on quantitative 2-dimensional gel electrophoresis and analyzed by PDquest.', 'Excluding redundancies due to proteolysis and posttranslational modified isoforms of over 600 protein spots, 11 proteins were revealed as regulated with statistical variance being within the 95th confidence level and were identified by peptide mass fingerprinting in matrix assisted laser desorption/ionization time-of-flight mass spectrometry. Progression-associated proteins belong to the functional complexes of tumorigenesis, proliferation, differentiation, metabolism, and the regulation of major histocompatibility complex processing and other functions. Partial but significant overlap was revealed with previous proteomics and transcriptomics studies in CRC. Among various differentiation stage of CRC tissues, we identified calreticulin precursor, MHC class I antigen (human leukocyte antigen A ), glutathione S-transferase pi1, keratin 8, heat shock protein 27, tubulin beta chain, triosephosphate, fatty acid-binding protein, hemoglobin (deoxy) mutant with val b 1 replaced by met (HBB), and zinc finger protein 312 (FEZF2).
Example Output: Does proteomic analysis reveal novel proteins associated with progression and differentiation of colorectal carcinoma?

Example Input: Total blood homocysteine (Hcys) and folate levels have been investigated in association with cognitive dysfunction in healthy but not in multimorbid elderly patients. We hypothesized that total serum Hcys is an adequate marker to identify multimorbid elderly patients with cognitive dysfunction assessed by the Short Cognitive Performance Test (SKT) and Mini-Mental State Examination (MMSE).', 'Cross-sectional study.', 'The study center was an acute geriatric hospital.', 'A total of 189 multimorbid elderly patients were recruited.', 'Cognitive dysfunction was determined according to the SKT and MMSE. Biochemical parameters (Hcys, folate, vitamin B12, hemoglobin), nutritional status (BMI, Mini Nutritional Assessment, nutritional intake), and activities of daily living were assessed.', 'According to the SKT, 25.4% of patients showed no cerebral cognitive dysfunction, 21.2% had suspected incipient cognitive dysfunction, 12.7% showed mild cognitive dysfunction, 9.0% had moderate cognitive dysfunction, and 31.7% of patients were demented. The median plasma Hcys value was elevated by approximately 20% in multimorbid elderly patients, independent of cognitive dysfunction. Serum folate and vitamin B12 concentrations were within normal ranges. We did not find significant differences in nutritional status, activities of daily living, numbers of diseases or medications, or selected biochemical parameters between the SKT groups.
Example Output: Do total serum homocysteine levels identify cognitive dysfunction in multimorbid elderly patients?

Example Input: Diabetic nephropathy (DN) is a common complication in diabetics. Recent evidence suggests that neutrophil-lymphocyte ratio (NLR) affects the development and acceleration of some diabetic complications. Scholars have rarely investigated the relationship between DN and NLR. This study aims to evaluate the relationship between DN and NLR and estimate whether or not NLR is a reliable marker for early-stage DN.', 'The study included 253 patients with type 2 diabetes mellitus, 115 of whom have early-stage DN. The control group was composed of 210 healthy age- and sex-matched subjects.', 'The NLR values of the patients with diabetes were significantly higher than those of the healthy controls (P < 0·001), and the NLR values of the patients with early-stage DN were higher than those of the patients without DN (P < 0·001). Logistic regression analysis showed that the risk predictors of DN include NLR, creatinine, total cholesterol, systolic blood pressure, HbA1c and insulin resistance. NLR (P = 0·004, EXP(B) = 2·088, 95% CI = 1·271-3·429) levels positively correlated with DN. The DN odds ratio increased by a factor of 2·088 (95% CI, 1·271-3·429) for every one unit increase in NLR.
Example Output:
Is neutrophil-lymphocyte ratio a reliable predictive marker for early-stage diabetic nephropathy?