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| Tissue / context | Metabolic program themes linked to TFE3 | Mechanistic interactions highlighted | Evidence type in the source (as described) | Key caveats in the source |
|---|---|---|---|---|
| Hepatocyte | Insulin signaling alignment; regulation of glucose and lipid metabolism; coupling to mitochondrial/autophagy/lysosomal processes. | IRS-2 / FOXO1 / SREBP-1c / PGC-1α axis and broader MiT TF metabolic regulation themes. | Synthesized mechanistic evidence; models include mouse liver manipulations and hepatocyte contexts as referenced. | Cross-model variability; endogenous vs transgene/KO effects may diverge. |
| Muscle (skeletal) | Glucose/lipid metabolic control connected to energy-homeostasis programs, with links to mitochondrial/autophagy/lysosomal regulation. | Mechanism themes referenced as part of the integrated insulin–metabolism–MiT TF framework. | Synthesized tissue-level mechanistic literature across cited models. | Context dependence across experimental systems; translational uncertainty. |
| Adipocyte | Insulin signaling/metabolic regulation with attention to mitochondrial/autophagy–lysosomal coupling; possible role in adipose browning/thermogenic directionality (discussed as debated). | Integrated interaction network themes (insulin/FOXO/SREBP/PGC-1α) presented in the review framework. | Synthesized evidence including adipose-related mouse models and adipocyte contexts as referenced. | Adipose browning conclusions are specifically flagged as conflicting/debated. |
| Tumor (e.g., RCC, ASPS) | Cancer metabolic reprogramming tied to autophagy/lysosome and mitochondrial dynamics; transcriptional programs driven by TFE3 alterations including fusions. | Discussion includes tumor-relevant TFE3 contexts such as Xp11 translocation RCC and alveolar soft part sarcoma, within the TFE3–autophagy/mitochondria metabolic theme. | Synthesized cancer mechanistic literature; tumor models and cell line references mentioned in the source description. | Model/system differences and variable mechanistic readouts; limited direct clinical data in the review’s framing. |
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