A computational model of inflammation reveals crosstalk among energy metabolism, oxidative stress, insulin, and cytokines in hepatocytes during early MASLD progression.

Miura Y, Sakai Y, Nishikawa M, Leclerc E.

Open source

DOI
10.1093/toxsci/kfaf176
Published
2026-02-01
Container
Toxicol Sci
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1093/toxsci/kfaf176,
  title = {A computational model of inflammation reveals crosstalk among energy metabolism, oxidative stress, insulin, and cytokines in hepatocytes during early MASLD progression.},
  author = {Miura Y and  Sakai Y and  Nishikawa M and  Leclerc E.},
  year = {2026},
  journal = {Toxicol Sci},
  doi = {10.1093/toxsci/kfaf176},
  url = {https://doi.org/10.1093/toxsci/kfaf176}
}

RIS

TY  - JOUR
TI  - A computational model of inflammation reveals crosstalk among energy metabolism, oxidative stress, insulin, and cytokines in hepatocytes during early MASLD progression.
AU  - Miura Y
AU  -  Sakai Y
AU  -  Nishikawa M
AU  -  Leclerc E.
PY  - 2026
JO  - Toxicol Sci
DO  - 10.1093/toxsci/kfaf176
UR  - https://doi.org/10.1093/toxsci/kfaf176
ER  - 

APA

Y, M., Y, S., M, N., & E., L. (2026). A computational model of inflammation reveals crosstalk among energy metabolism, oxidative stress, insulin, and cytokines in hepatocytes during early MASLD progression.. Toxicol Sci. https://doi.org/10.1093/toxsci/kfaf176

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