MIURA Y, SAKAI Y, NISHIKAWA M und LECLERC E, 2026. A computational model of inflammation reveals crosstalk among energy metabolism, oxidative stress, insulin, and cytokines in hepatocytes during early MASLD progression. Toxicological sciences : an official journal of the Society of Toxicology. 18 Februar 2026. Vol. 209, no. 2, . DOI 10.1093/toxsci/kfaf176.
Elsevier - Harvard (with titles)Miura Y, Sakai Y, Nishikawa M, Leclerc E, 2026. A computational model of inflammation reveals crosstalk among energy metabolism, oxidative stress, insulin, and cytokines in hepatocytes during early MASLD progression. Toxicological sciences : an official journal of the Society of Toxicology 209. https://doi.org/10.1093/toxsci/kfaf176
American Psychological Association 7th editionMiura Y, Sakai Y, Nishikawa M, & Leclerc E. (2026). A computational model of inflammation reveals crosstalk among energy metabolism, oxidative stress, insulin, and cytokines in hepatocytes during early MASLD progression. Toxicological Sciences : An Official Journal of the Society of Toxicology, 209(2). https://doi.org/10.1093/toxsci/kfaf176
Springer - Basic (author-date)Miura Y, Sakai Y, Nishikawa M, Leclerc E (2026) A computational model of inflammation reveals crosstalk among energy metabolism, oxidative stress, insulin, and cytokines in hepatocytes during early MASLD progression.. Toxicological sciences : an official journal of the Society of Toxicology 209. https://doi.org/10.1093/toxsci/kfaf176
Juristische Zitierweise (Stüber) (Deutsch)Miura Y/ Sakai Y/ Nishikawa M/ Leclerc E, A computational model of inflammation reveals crosstalk among energy metabolism, oxidative stress, insulin, and cytokines in hepatocytes during early MASLD progression., Toxicological sciences : an official journal of the Society of Toxicology 2026.