Given an abstract from a research paper, your task is to identify and label relationships between chemical compounds and genes mentioned in the abstract.

The relationship type must be one of ['DOWNREGULATOR', 'SUBSTRATE', 'INDIRECT-REGULATOR', 'PART-OF', 'MODULATOR-ACTIVATOR', 'REGULATOR', 'INHIBITOR', 'COFACTOR', 'UPREGULATOR', 'ACTIVATOR', 'ANTAGONIST', 'NOT', 'INDIRECT-DOWNREGULATOR', 'SUBSTRATE_PRODUCT-OF', 'INDIRECT-UPREGULATOR', 'AGONIST', 'PRODUCT-OF', 'MODULATOR', 'DIRECT-REGULATOR', 'UNDEFINED', 'AGONIST-INHIBITOR', 'AGONIST-ACTIVATOR', 'MODULATOR-INHIBITOR'].

Please format your output as a JSON array. Each entry in the array should express a single relation, formatted as ["<Entity_A>", "<RELATION_A_B>", "<Entity_B>"]. If no relations can be found, please output an empty JSON array [].

Abstract:

Selective activation of thyroid hormone signaling pathways by GC-1: a new approach to controlling cholesterol and body weight. The current report describes progress in development of a selective thyroid hormone receptor modulator, GC-1. This compound binds selectively to the beta-isoform of the thyroid hormone receptor, and its uptake into the heart is relatively low. Studies in rats, mice and monkeys show that GC-1 lowers cholesterol with 600- to 1400-fold more potency and approximately two- to threefold more efficacy than atorvastatin, a compound that blocks HMG-CoA reductase. GC-1 also decreases plasma levels of triglyceride and lipoprotein (a), and induces loss of fat. These effects can be observed under conditions where there is either no or minimal effect on heart rate, and no detectable loss of muscle. Although more study is required, compounds of this class deserve further investigation for treating lipid disorders and obesity.
[["atorvastatin", "INHIBITOR", "HMG-CoA reductase"]]