You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Ablation of Egr2-positive cells in male mouse anterior pituitary leads to atypical isolated GH deficiency. In this study, we have investigated the expression and function of the transcription factor early growth response factor 2 (Egr2)/Krox20 in the developing anterior pituitary. Egr2 is initially expressed in all differentiating hormonal cells types, but its expression is mostly restricted to the somatotroph lineage after birth. Egr2 knockout results in anterior pituitary hypoplasia. However, the analysis of a conditional mutant demonstrates that this phenotype does not originate from a lack of Egr2 expression in the pituitary. Using an Egr2 allele driving a Cre-activable toxin gene, we performed a genetic ablation of Egr2-positive cells in the pituitary. During the postnatal period, this ablation leads to specific and progressive depletion of the somatotroph population, creating a novel model of early-onset isolated GH deficiency (GHD). Mutant animals were subjected to a complete metabolic analysis, revealing atypical and expected features. Consistent with an adult-onset isolated GHD model, mutant animals are hypoglycemic and display increased insulin sensitivity and glucose clearance. This latter phenotype is in contrast to the glucose intolerance observed in another early-onset GHD model. Surprisingly, increased insulin sensitivity is not accompanied by a modified balance between fat and lean tissues, but by reduced metabolic adaptability between glucose and lipid oxidation conditions. This suggests that the relationship between these metabolic features and insulin sensitivity should be reconsidered. In conclusion, our mutant may be a valuable genetic model with which to study the effects of long-term GH deficiency, in conditions of normal pancreatic function and unaffected balance between fat and glucose metabolism.
{"Chemical": ["glucose"]}