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:

Evaluation of presumptive biomarkers of oxidative stress, immune response and apoptosis in primary open-angle glaucoma. There is growing interest on the correlation among oxidative stress, inflammation, apoptosis and primary open-angle glaucoma initiation and progression. Reactive oxygen species are formed in the eyes following a wide variety of stressors, and are largely implicated in glaucoma pathogenesis. Immune-inflammatory response mediators have recently become a target of ophthalmologic concern, including glaucoma. Much attention has been derived to the role of specific pro and anti-apoptotic molecules in glaucoma. This article reviews the early evidence suggesting that reactive oxygen species, immune inflammatory response mediators, and apoptogenic molecules are engaged in glaucoma disease. Moreover, further research concerning the functions, effectors and signaling pathways of the above molecules and their interactions, may lead to specifically develop targeted screening tools based on presumptive biomarkers and surrogate endpoints against primary open-angle glaucoma progression and blindness.
{"Chemical": ["oxygen"]}