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Saitoh, K.

Publications and source records attributed to Saitoh, K..

2 recordsLinked to original sources

Identifying simultaneous inhibition of riboflavin metabolism and MEK as a novel therapeutic strategy for pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) remains a formidable challenge with a survival rate of approximately 10%, largely due to the lack of diagnostic and therapeutic options. To identify novel therapeutic targets for PDAC, we previously developed a Drosophila melanogaster model, the 4-hit fly, which mimics the alterations in KRAS, TP53, CDKN2A, and SMAD4 genes observed in PDAC. Through whole-body genetic screening using the 4-hit model, we identified riboflavin (RF) metabolism as a novel potential therapeutic target for PDAC. Additionally, transcript levels of four out of five genes that are involved in RF metabolism were elevated in human PDAC compared to non-tumor tissues. Roseoflavin (RoF), an antimetabolite of RF, resulted in a variety range of metabolic changes, decreased mitochondrial respiratory chain activity, and suppressed proliferation in cultured PDAC cells. Furthermore, the combination of RoF with the MEK inhibitor drug trametinib significantly suppressed the growth of human PDAC xenografts compared to either treatment alone. These findings underscore that dual targeting of RF metabolism and MEK represents a novel therapeutic strategy for PDAC.

cancer biology↗

Trans-omic analysis reveals fed and fasting insulin signal across phosphoproteome, transcriptome, and metabolome

The concentration and temporal pattern of insulin selectively regulate multiple cellular functions. To understand how insulin dynamics are interpreted by cells, we constructed a trans-omic network of insulin action in FAO hepatoma cells from three networks--a phosphorylation-dependent cellular functions regulatory network using phosphoproteomic data, a transcriptional regulatory network using phosphoproteomic and transcriptomic data, and a metabolism regulatory network using phosphoproteomic and metabolomic data. With the trans-omic regulatory network, we identified selective regulatory networks that mediate differential responses to insulin. Akt and Erk, hub molecules of insulin signaling, encode information of a wide dynamic range of dose and time of insulin. Down-regulated genes and metabolites in glycolysis had high sensitivity to insulin (fasting insulin signal); up-regulated genes and dicarboxylic acids in the TCA cycle had low sensitivity (fed insulin signal). This integrated analysis enables molecular insight into how cells interpret physiologically fed and fasting insulin signals.\n\nHighlightsO_LIWe constructed a trans-omic network of insulin action using multi-omic data.\nC_LIO_LIThe trans-omic network integrates phosphorylation, transcription, and metabolism.\nC_LIO_LIWe classified signaling, transcriptome, and metabolome by sensitivity to insulin.\nC_LIO_LIWe identified fed and fasting insulin signal flow across the trans-omic network.\nC_LI

systems biology↗