{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nRecent studies have examined how metabolic regulation and gene expression intertwine across various tissues. For example, experiments in mouse models have demonstrated that peripheral metabolic alterations in obesity and diabetes can modulate the expression of monocarboxylate transporters in the brain"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ", while investigations in the peripheral nervous system have shown that lactate dynamics, mediated by distinct MCT isoforms, play a crucial role in Schwann cell myelination."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " In parallel, studies in macrophages reveal that metabolic rewiring—specifically lactate efflux and histone lactylation—contributes to the regulation of inflammatory responses in atherosclerosis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " In contrast to these metabolic contexts, analysis of pediatric and adolescent cytogenetically normal acute myeloid leukemia (AML) has uncovered that high expression of the microRNA hsa‐miR‐4786, along with hsa‐miR‐181c, is associated with improved overall survival, signifying a favorable prognostic impact."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nSpecifically, within the AML study, increased expression of hsa‐miR‐4786 emerged from multivariate Cox regression analyses as a marker linked to beneficial clinical outcomes, setting it apart from microRNAs such as hsa‐miR‐146b that correlate with poor prognosis. This finding supports the notion that hsa‐miR‐4786 may actively participate in gene regulation networks that promote cellular differentiation or survival in leukemic cells, making it a promising component of microRNA‐based prognostic signatures. Further investigation into its molecular targets and signaling pathways is warranted to fully elucidate its role and to potentially harness its function in personalized therapeutic strategies.\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Karin Pierre, Annabelle Parent, Pierre-Yves Jayet, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Enhanced expression of three monocarboxylate transporter isoforms in the brain of obese mice."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Physiol (2007)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1113/jphysiol.2007.138594"}], "href": "https://doi.org/10.1113/jphysiol.2007.138594"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17599960"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17599960"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Enric Domènech-Estévez, Hasna Baloui, Cendrine Repond, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Distribution of monocarboxylate transporters in the peripheral nervous system suggests putative roles in lactate shuttling and myelination."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Neurosci (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1523/JNEUROSCI.3534-14.2015"}], "href": "https://doi.org/10.1523/JNEUROSCI.3534-14.2015"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25762662"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25762662"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Yunjia Zhang, Hong Jiang, Mengdie Dong, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Macrophage MCT4 inhibition activates reparative genes and protects from atherosclerosis by histone H3 lysine 18 lactylation."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell Rep (2024)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.celrep.2024.114180"}], "href": "https://doi.org/10.1016/j.celrep.2024.114180"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "38733581"}], "href": "https://pubmed.ncbi.nlm.nih.gov/38733581"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Ruiqi Zhu, Weiwei Zhao, Fengjuan Fan, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A 3-miRNA signature predicts prognosis of pediatric and adolescent cytogenetically normal acute myeloid leukemia."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncotarget (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/oncotarget.17151"}], "href": "https://doi.org/10.18632/oncotarget.17151"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28473658"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28473658"}]}]}]}