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:

TSG-6 produced by hMSCs delays the onset of autoimmune diabetes by suppressing Th1 development and enhancing tolerogenicity. Genetic and immunological screening for type 1 diabetes has led to the possibility of preventing disease in susceptible individuals. Here, we show that human Mesenchymal Stem/Stromal Cells (hMSCs) and TNF-α-stimulated gene 6 (TSG-6), a protein produced by hMSCs in response to signals from injured tissues, delayed the onset of spontaneous autoimmune diabetes in NOD mice by inhibiting insulitis and augmenting regulatory T cells (Tregs) within the pancreas. Importantly, hMSCs with a knockdown of tsg-6 were ineffective at delaying insulitis and the onset of diabetes in mice. TSG-6 inhibited the activation of both T cell and antigen presenting cells (APCs) in a CD44-dependent manner. Moreover, multiple treatments of TSG-6 rendered APCs more tolerogenic, capable of enhancing Treg generation and delaying diabetes in an adoptive transfer model. Therefore, these results could provide the basis for a novel therapy for the prevention of type 1 diabetes.
{"Chemical": []}