In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Ex Input:
Context: The expression of growth-associated protein 43 (GAP-43), a marker of axonal growth, in the dorsal root ganglion (DRG) neurons innervating the lumbar intervertebral disc was assessed using the retrograde tracing method and immunohistochemistry.', 'To study whether disc inflammation affects GAP-43 expression in DRG neurons innervating the disc in rats.', 'Persistent inflammation and nerve ingrowth into the inner layer of degenerated discs can be a cause of discogenic pain. Although the presence of GAP-43-expressing nerve fibers in painful discs has been reported, the expression of GAP-43 in DRG neurons innervating the disc has not been studied.', "Seven days after the application of Fluoro-Gold to the L5-L6 disc, 50 microL of saline (n = 10, control group) or complete Freund's adjuvant (n = 10, inflammatory group) was applied to the disc in rats. Ten days after the Fluoro-Gold application, T13-L5 DRGs were double-stained with GAP-43 and either calcitonin gene-related peptide or isolectin B4 (IB4).", 'The percentage of Fluoro-Gold-labeled neurons that were positive for GAP-43 was significantly higher in the inflammatory group (44%) than in the control group (24%, P < 0.001). In both groups, the majority of GAP-43-positive neurons were small and positive for calcitonin gene-related peptide but not IB4.\Question: Does disc inflammation potentially promote axonal regeneration of dorsal root ganglion neurons innervating lumbar intervertebral disc in rats?

Ex Output:
The present results suggest that disc inflammation potentially promotes axonal growth of DRG neurons innervating the disc. In light of the strong correlation between the expression of calcitonin gene-related peptide and nerve growth factor receptor, it is most likely that nerve growth factor-sensitive DRG neurons extend their axons following disc inflammation.

Ex Input:
Context: Transport across the blood-brain barrier (BBB) is an important mediator of beta-amyloid (A) accumulation in the brain and a contributing factor in the pathogenesis of Alzheimer's disease (AD). One of the receptors responsible for the transport of A in the BBB is the low density lipoprotein receptor-related protein 1 (LRP1). LRP1 is susceptible to proteolytic shedding at the cell surface, which prevents endocytic transport of ligands. Previously, we reported a strong inverse correlation between LRP1 shedding in the brain and A transit across the BBB. Several proteases contribute to the ectodomain shedding of LRP1 including the -secretase, a desintegrin and metalloproteinase domain containing protein 10 (ADAM10).", 'The role of ADAM10 in the shedding of LRP1 and A BBB clearance was assessed through pharmacological inhibition of ADAM10 in an in vitro model of the BBB and through the use of ADAM10 endothelial specific knock-out mice. In addition, an acute treatment paradigm with an ADAM10 inhibitor was also tested in an AD mouse model to assess the effect of ADAM10 inhibition on LRP1 shedding and Abrain accumulation.', 'In the current studies, inhibition of ADAM10 reduced LRP1 shedding in brain endothelial cultures and increased A42 transit across an in vitro model of the BBB. Similarly, transgenic ADAM10 endothelial knockout mice displayed lower LRP1 shedding in the brain and significantly enhanced A clearance across the BBB compared to wild-type animals. Acute treatment with the ADAM10-selective inhibitor GI254023X in an AD mouse model substantially reduced brain LRP1 shedding and increased A40 levels in the plasma, indicating enhanced A transit from the brain to the periphery. Furthermore, both soluble and insoluble A40 and A42 brain levels were decreased following GI254023X treatment, but these effects lacked statistical significance.\Question: Does inhibition of ADAM10 promote the clearance of A across the BBB by reducing LRP1 ectodomain shedding?

Ex Output:
These studies demonstrate a role for ADAM10 in the ectodomain shedding of LRP1 in the brain and the clearance of A across the BBB, which may provide a novel strategy for attenuating A accumulation in the AD brain.

Ex Input:
Context: This exploratory study assessed how 8-13-year-old children categorised and labelled fruit and vegetables (FaV), and how these were influenced by child characteristics, to specify second-level categories in a hierarchical food search system for a computerised 24 h dietary recall (hdr).', 'Two sets of food cards, sixty-seven for fruit (F) and sixty-four for vegetables (V), with pictures and names of FaV from ten professionally defined food categories were sorted, separately, by each child into piles of similar foods. Demographic data, BMI and 6-n-propylthiouracil (PROP) taster status were obtained.', "Participants attended the Children's Nutrition Research Center in the summer of 2006.", 'In all, 152 8-13-year-old children, predominantly English-speaking, of whom sixteen were predominantly Spanish-speaking.', "Children created an average of 8.5 (5.3) piles with 7.9 (11.4) cards per pile for the F, and an average of 10.1 (4.8) piles with 6.2 (7.9) cards per pile for the V. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics, BMI or PROP sensitivity. Children provided clusters names that were mostly 'Taxonomic - Professional' labels, such as salads, berries, peppers, for both F (51.8 %) and V (52.1 %).\Question: Are fruit and vegetables similarly categorised by 8-13-year-old children?

Ex Output:
These categories should be tested to assess their ability to facilitate search of FaV items in a computerised 24 hdr for children in this age group.