Metabolic disorders, including metabolic dysfunction-associated fatty liver disease (MAFLD), obesity, and dyslipidemia, impose a substantial and escalating global health burden, highlighting an urgent need for effective pharmacotherapies. Selective modulation of nuclear receptors (NRs) has emerged as a promising strategy to restore metabolic homeostasis. This review focuses on three therapeutically pivotal yet under-explored NRs: thyroid hormone receptor β (TRβ), estrogen-related receptor α (ERRα), and liver X receptor (LXRα/β). We critically examine recent advances in the development of small-molecule modulators for these targets and discuss their translational potential. TRβ agonists, including resmetirom (MGL-3196) and VK2809, have demonstrated compelling efficacy in clinical trials for metabolic dysfunction-associated steatohepatitis (MASH), significantly reducing hepatic steatosis and fibrosis. Next-generation hepatoselective modulators such as TG68 enhance tissue specificity and potency. ERRα, a master regulator of mitochondrial biogenesis and energy metabolism, is targeted by inverse agonists (compound 29, GSK5182) and agonists (JND003, SLU-PP-915), which show promise in ameliorating insulin resistance and promoting lipid oxidation in preclinical obesity models. LXRs, central players in cholesterol homeostasis, are the focus of innovative drug design aimed at harnessing atheroprotective benefits via LXRβ-selective or partial agonists, thereby circumventing adverse effects on triglyceride synthesis. Collectively, the ongoing development of TRβ, ERRα, and LXR modulators exemplifies a new frontier in precision medicine, offering powerful approaches to reprogram dysregulated metabolic pathways with substantial promise for treating metabolic diseases.

Nuclear Receptor-Targeted Therapies: Reprogramming Metabolism with TRβ, ERRα, and LXR Modulators / Di Giovanni, C.; Lavecchia, A.. - In: BIOMOLECULES. - ISSN 2218-273X. - 16:2(2026). [10.3390/biom16020272]

Nuclear Receptor-Targeted Therapies: Reprogramming Metabolism with TRβ, ERRα, and LXR Modulators

Di Giovanni C.;Lavecchia A.
Ultimo
2026

Abstract

Metabolic disorders, including metabolic dysfunction-associated fatty liver disease (MAFLD), obesity, and dyslipidemia, impose a substantial and escalating global health burden, highlighting an urgent need for effective pharmacotherapies. Selective modulation of nuclear receptors (NRs) has emerged as a promising strategy to restore metabolic homeostasis. This review focuses on three therapeutically pivotal yet under-explored NRs: thyroid hormone receptor β (TRβ), estrogen-related receptor α (ERRα), and liver X receptor (LXRα/β). We critically examine recent advances in the development of small-molecule modulators for these targets and discuss their translational potential. TRβ agonists, including resmetirom (MGL-3196) and VK2809, have demonstrated compelling efficacy in clinical trials for metabolic dysfunction-associated steatohepatitis (MASH), significantly reducing hepatic steatosis and fibrosis. Next-generation hepatoselective modulators such as TG68 enhance tissue specificity and potency. ERRα, a master regulator of mitochondrial biogenesis and energy metabolism, is targeted by inverse agonists (compound 29, GSK5182) and agonists (JND003, SLU-PP-915), which show promise in ameliorating insulin resistance and promoting lipid oxidation in preclinical obesity models. LXRs, central players in cholesterol homeostasis, are the focus of innovative drug design aimed at harnessing atheroprotective benefits via LXRβ-selective or partial agonists, thereby circumventing adverse effects on triglyceride synthesis. Collectively, the ongoing development of TRβ, ERRα, and LXR modulators exemplifies a new frontier in precision medicine, offering powerful approaches to reprogram dysregulated metabolic pathways with substantial promise for treating metabolic diseases.
2026
Nuclear Receptor-Targeted Therapies: Reprogramming Metabolism with TRβ, ERRα, and LXR Modulators / Di Giovanni, C.; Lavecchia, A.. - In: BIOMOLECULES. - ISSN 2218-273X. - 16:2(2026). [10.3390/biom16020272]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1046952
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