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- W2047719907 abstract "Type 2 diabetes and associated co-morbidities run epidemic waves worldwide. Since pathophysiological constellations are individual and display a wide spread of dysmetabolic profiles personalized health care assessments start to emerge. Therefore, we established a specific in silico assessment tool targeting metabolic characterizations individually.Values obtained from oral glucose and intraperitoneal insulin tolerance tests performed on pkbα(-/-) mice (KO) as well as age- and gender-matched controls (WT) were analysed using our established in silico model.Generally, male pkbα(-/-) mice (KO) presented significantly increased insulin sensitivity at an age of 6 months compared with age-matched WTs (p = 0.036). Female KO and WT groups displayed improved glucose sensitivities compared with age-matched males (for WT p ≤ 0.011).Specific metabolic characterization should be assessed individually. Therefore, our in silico model enables novel insights inaugurating specific primary preventive strategies targeting individual metabolic profiling precisely." @default.
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- W2047719907 date "2014-04-28" @default.
- W2047719907 modified "2023-10-02" @default.
- W2047719907 title "Novel individual metabolic profile characterizes the protein kinase B-alpha (pkbα−/−) in vivomodel" @default.
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- W2047719907 doi "https://doi.org/10.3109/13813455.2014.911330" @default.
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