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.
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Question: Hostility may be associated with greater systemic inflammation. However, contradictory evidence exists. Certain individuals or dimensions of hostility may be more susceptible to these effects. Main and interactive effects of hostility with sex and/or age were evaluated on markers of inflammation, independently of traditional risk factors for coronary artery disease.', '199 healthy men (81) and women (118), aged 20-64 years (M=41 ± 11 years) were recruited. Hostility was assessed using the Cook-Medley Hostility Inventory (CMHo) and ecological momentary assessments (EMA) of quarrelsome behavior and angry affect in daily living. Blood samples were drawn to measure inflammatory activity (Il-6, TNF-α, hsCRP, Il-8, Il-10, Il-18, MCP-1) and lipid oxidation (Myeloperoxidase; MPO). Correlations and hierarchical regression analyses were performed controlling for pertinent behavioral, psychological, medical, and socio-demographic factors.', 'Significant univariate associations emerged between CMHo and Il-6, TNF-α, MCP-1 (p<.05). Hierarchical regressions showed interactions of hostility with sex (Il-6, TNF-α; p<.05) and age (hsCRP, Il-6, TNF-α; p<.05). For example, in simple slope analyses, hostility was positively related to TNF-α in women (b=0.009, p=0.006) but not men. Greater hostility was also related to greater Il-6 levels among younger women (b=. 027, p=0.000).

Answer: Is the relation between hostility and concurrent levels of inflammation sex , age , and measure dependent?


Question: 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.

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


Question: This study was carried out to investigate the effects of insulin-like growth factor-II (IGF-II) and basic fibroblast growth factor (bFGF) on osteoprotegerin (OPG) secretion of periodontal ligament cells (PDLCs).', 'Healthy human premolars extracted for orthodontic reasons from 12-14 years old donators were obtained, and periodontal tissues were collected and cultured to obtain PDL cells. Primary or first passage PDLCs were cloned by means of limited dilutions. PDLCs with osteoblastic phenotypes were characterized as follows: Alkaline phosphatase activity, collagen III production and bone-like nodules formation. IGF-II and bFGF were added into culture media and their effects on PDLCs proliferation and OPG secretion were observed. The OPG concentrations in cell culture supernatants were detected by sandwich ELISA. Living cell numbers were demonstrated by MTT test. The average levels of OPG secretion by a single cell were calculated by dividing OPG concentration with MTT-test result.', 'Both IGF-II and bFGF upregulated the mtt values (P < 0.05), but ICF-II downregulated the opg/mtt values (P < 0.05), whereas bFGF had no significant effect on opg/mtt values (P > 0.05).

Answer:
Do [ Insulin-like growth factor-II and basic fibroblast growth factor affect periodontal ligament cells expressing osteoprotegerin in vitro ]?