Systems biology reveals uncoupling beyond UCP1 in human white fat-derived beige adipocytes.
Elin NymanStefano BartesaghiRebecka Melin RydfalkSandra EngCharlotte PollardPeter GennemarkXiao-Rong PengGunnar CedersundPublished in: NPJ systems biology and applications (2017)
Pharmaceutical induction of metabolically active beige adipocytes in the normally energy storing white adipose tissue has potential to reduce obesity. Mitochondrial uncoupling in beige adipocytes, as in brown adipocytes, has been reported to occur via the uncoupling protein 1 (UCP1). However, several previous in vitro characterizations of human beige adipocytes have only measured UCP1 mRNA fold increase, and assumed a direct correlation with metabolic activity. Here, we provide an example of pharmaceutical induction of beige adipocytes, where increased mRNA levels of UCP1 are not translated into increased protein levels, and perform a thorough analysis of this example. We incorporate mRNA and protein levels of UCP1, time-resolved mitochondrial characterizations, and numerous perturbations, and analyze all data with a new fit-for-purpose mathematical model. The systematic analysis challenges the seemingly obvious experimental conclusion, i.e., that UCP1 is not active in the induced cells, and shows that hypothesis testing with iterative modeling and experimental work is needed to sort out the role of UCP1. The analyses demonstrate, for the first time, that the uncoupling capability of human beige adipocytes can be obtained without UCP1 activity. This finding thus opens the door to a new direction in drug discovery that targets obesity and its associated comorbidities. Furthermore, the analysis advances our understanding of how to evaluate UCP1-independent thermogenesis in human beige adipocytes.
Keyphrases
- adipose tissue
- insulin resistance
- endothelial cells
- high fat diet induced
- high fat diet
- drug discovery
- induced pluripotent stem cells
- weight loss
- type diabetes
- binding protein
- high glucose
- pluripotent stem cells
- oxidative stress
- nitric oxide synthase
- risk assessment
- skeletal muscle
- nitric oxide
- computed tomography
- magnetic resonance
- machine learning
- body mass index
- protein protein
- drug induced
- cell cycle arrest
- fatty acid
- artificial intelligence
- data analysis