@article {Wang220061, author = {Zhengjie Wang and Xiaolong Xu and Yi Liu and Yongheng Gao and Ennui Ma and Welding Yang and Fei Kang and Baohua Liu and Jing Wang}, title = {Assessment of the aging of the brown adipose tissue by 18F-FDG PET/CT imaging in the progeria mouse model LmnaG609G/G609G}, elocation-id = {220061}, year = {2017}, doi = {10.1101/220061}, publisher = {Cold Spring Harbor Laboratory}, abstract = {Brown adipose tissue (BAT) is an important energy metabolic organ that is closely related to obesity, type 2 diabetes, and atherosclerosis. Aging is one of the most important determinants of BAT activity. In this study, we used 18F-FDG PET/CT imaging to assess the aging of the BAT in LmnaG609G/G609G mice. To evaluate the BAT activity, LmnaG609G/G609G and wild-type (WT) mice were injected with 18F-FDG, and PET/CT imaging was performed. The maximum standardized uptake value (SUVMax) of the BAT was measured and the target/nontarget (T/NT) values of BAT were calculated. The transcription and the protein expression levels of the uncoupling protein 1 (UCP1), beta3-adrenergic receptor (β3-AR), and the PRdomain-containing16 (PRDM16), were measured by quantitative real-time polymerase chain reaction (RT-PCR) and Western blotting or immunohistochemical analysis. Apoptosis and cell senescence of the BAT, in WT and LmnaG609G/G609G mice, was detected by Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL), and by CDKN2A/p16INK4a immunohistochemical staining, respectively. At 14 weeks of age, the BAT SUVMax and the expression levels of UCP1, β3-AR and PRDM16 in LmnaG609G/G609G mice was significantly lower than that in WT mice. At the same time, the number of p16INK4a and TUNEL positively stained cells (\%) increased in LmnaG609G/G609G mice. LmnaG609G/G609G mice are an ideal model for studying BAT aging. The aging characteristics and the aging mechanism of BAT in LmnaG609G/G609G mice can mimic normal BAT aging.}, URL = {https://www.biorxiv.org/content/early/2017/11/15/220061}, eprint = {https://www.biorxiv.org/content/early/2017/11/15/220061.full.pdf}, journal = {bioRxiv} }