bims-meprid 2023-10-15 papers

Issue of 2023‒10‒15
three papers selected by
Alessandro Carrer, Veneto Institute of Molecular Medicine

Cell. 2023 Sep 26. pii: S0092-8674(23)01032-2. [Epub ahead of print]

Arginine reprograms metabolism in liver cancer via RBM39.

Dirk Mossmann, Christoph Müller, Sujin Park, Brendan Ryback, Marco Colombi, Nathalie Ritter, Diana Weißenberger, Eva Dazert, Mairene Coto-Llerena, Sandro Nuciforo, Lauriane Blukacz, Caner Ercan, Veronica Jimenez, Salvatore Piscuoglio, Fatima Bosch, Luigi M Terracciano, Uwe Sauer, Markus H Heim, Michael N Hall.

Metabolic reprogramming is a hallmark of cancer. However, mechanisms underlying metabolic reprogramming and how altered metabolism in turn enhances tumorigenicity are poorly understood. Here, we report that arginine levels are elevated in murine and patient hepatocellular carcinoma (HCC), despite reduced expression of arginine synthesis genes. Tumor cells accumulate high levels of arginine due to increased uptake and reduced arginine-to-polyamine conversion. Importantly, the high levels of arginine promote tumor formation via further metabolic reprogramming, including changes in glucose, amino acid, nucleotide, and fatty acid metabolism. Mechanistically, arginine binds RNA-binding motif protein 39 (RBM39) to control expression of metabolic genes. RBM39-mediated upregulation of asparagine synthesis leads to enhanced arginine uptake, creating a positive feedback loop to sustain high arginine levels and oncogenic metabolism. Thus, arginine is a second messenger-like molecule that reprograms metabolism to promote tumor growth.

Keywords: AGMAT; ARG1; ASNS; RBM39; arginine; hepatocellular carcinoma; indisulam; metabolism

DOI: https://doi.org/10.1016/j.cell.2023.09.011

Mol Cell Biol. 2023 ;43(10): 531-546

Mitochondrial Fragmentation Promotes Inflammation Resolution Responses in Macrophages via Histone Lactylation.

Leah I Susser, My-Anh Nguyen, Michele Geoffrion, Christina Emerton, Mireille Ouimet, Mireille Khacho, Katey J Rayner.

During the inflammatory response, macrophage phenotypes can be broadly classified as pro-inflammatory/classically activated "M1", or pro-resolving/alternatively "M2" macrophages. Although the classification of macrophages is general and assumes there are distinct phenotypes, in reality macrophages exist across a spectrum and must transform from a pro-inflammatory state to a proresolving state following an inflammatory insult. To adapt to changing metabolic needs of the cell, mitochondria undergo fusion and fission, which have important implications for cell fate and function. We hypothesized that mitochondrial fission and fusion directly contribute to macrophage function during the pro-inflammatory and proresolving phases. In the present study, we find that mitochondrial length directly contributes to macrophage phenotype, primarily during the transition from a pro-inflammatory to a proresolving state. Phenocopying the elongated mitochondrial network (by disabling the fission machinery using siRNA) leads to a baseline reduction in the inflammatory marker IL-1β, but a normal inflammatory response to LPS, similar to control macrophages. In contrast, in macrophages with a phenocopied fragmented phenotype (by disabling the fusion machinery using siRNA) there is a heightened inflammatory response to LPS and increased signaling through the ATF4/c-Jun transcriptional axis compared to control macrophages. Importantly, macrophages with a fragmented mitochondrial phenotype show increased expression of proresolving mediator arginase 1 and increased phagocytic capacity. Promoting mitochondrial fragmentation caused an increase in cellular lactate, and an increase in histone lactylation which caused an increase in arginase 1 expression. These studies demonstrate that a fragmented mitochondrial phenotype is critical for the proresolving response in macrophages and specifically drive epigenetic changes via lactylation of histones following an inflammatory insult.

Keywords: fission; fusion; histone lactylation; inflammation resolution; macrophages; mitochondrial metabolism

DOI: https://doi.org/10.1080/10985549.2023.2253131