No abstract

Transcription factor HMG box-containing protein 1 (HBP1) has been found to be up-regulated in rat adipose tissue and differentiated preadipocyte; however, how HBP1 is involved in adipocyte formation remains unclear. In the present study, we demonstrated that under a standard differentiation protocol HBP1 expression fluctuates with down-regulation in the mitotic clonal expansion (MCE) stage followed by up-regulation in the terminal differentiation stage in both 3T3-L1 and MEF cell models. Also, HBP1 knockdown accelerated cell cycle progression in the MCE stage, but it impaired final adipogenesis. To gain further insight into the role of HBP1 in the MCE stage, we found that the HBP1 expression pattern is reciprocal to that of C/EBPβ, and ectopic expression of HBP1suppresses C/EBPβ expression. These data indicate that HBP1 functions as a negative regulator of MCE. In contrast, when HBP1 expression was gradually elevated along with a concomitant induction of C/EBPα at the end of the MCE, HBP1 knockdown leads to a significant reduction of C/EBPα expression, suggesting that HBP1-mediated C/EBPα expression may be needed for the termination of the cell cycle at the end of MCE for terminal differentiation. All told, our findings show that HBP1 is a key transcription factor in the already complicated regulatory cascade during adipocyte differentiation.

Adipocytes are sensitive to insulin control of cellular glucose utilization, thereby facilitating the maintenance of blood glucose concentration. Previously we demonstrated that transcription factor HBP1 is highly expressed in differentiated adipocytes, which, together with CCAAT/enhancer‐binding proteins C/EBPβ and C/EBPα, regulates adipocyte differentiation. To further gain insight into the biological role of HBP1 in mature adipocytes, here, we employed mouse embryonic fibroblast (MEF)‐derived adipocytes to test the hypothesis that HBP1 might regulate insulin sensitivity in adipocytes. First, suppression of HBP1 by siRNA‐mediated gene silencing significantly attenuated glucose uptake as shown by 2‐NBDG glucose uptake assay. We then examined the insulin‐signaling pathway to unravel the molecular mechanism by which HBP1 commands adipocytes to take up glucose. Under serum starvation, the transcription of insulin receptor (InR) was increased, whereas HBP1 silencing down‐regulated the expression of InR in adipocytes, indicating that HBP1 is able to promote insulin sensitivity under insulin insufficient state. However, the addition of insulin (2 nM for 6 h) led to a significant decrease in the transcription of HBP1, InR, and IRS1/2 (insulin receptor substrate 1/2). Moreover, HBP1 siRNA led to increased level of p‐S307 IRS‐1 that is associated with blockade of the insulin signaling, and also resulted in an unexpected induction of glucose transporter 4 (GLUT4). The upregulation of GLUT4 may function as a compensation mechanism for the defective insulin signaling caused by HBP1 silencing. Taken as a whole, our results reveal a key feedback control mechanism for HBP1 in regulating insulin signaling and glucose metabolism.Support or Funding InformationThis work was supported by the grant to MOST 105‐2320‐B‐039‐044‐MY2 C‐Y Huang.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.

Background: To date, plastic surgeons do not have an objective method of measuring facial symmetry for zygomatic bone fracture management. Based on clinical practice, the authors utilized a 3-dimensional (3D) model to propose the symmetry index from the anterior view (SIAV) and the symmetry index from inferior view (SIIV). This study aimed to assess the application of these 2 indices. Methods: The SIAV is defined as the distance between the superior and lower orbital rims (DSLOR) of the defective side divided by that of the healthy side in the anterior view. The SIIV is defined as the area within the region of interest (AROI) of the defective side divided by that of the healthy side in the inferior view. We retrospectively reviewed 95 patients who underwent zygomatic fracture surgery at our medical center from January 2017 to September 2020. The Patients who had bilateral zygomatic fractures and did not have both pre- and postoperative computed tomography (CT) images were excluded. Results: Five out of the 95 patients were enrolled in this study. The difference between pre- and postoperative mean AROI and DSLOR on the healthy side was not significant. The insignificant difference indicates the repeatability of the measurement of the 3D skull model and different CT machines would not affect the calculation of AROI and DSLOR. The mean values of postoperative SIAV (1.06 ± 0.07) and SIIV (1.02 ± 0.08) were closer to 1 than the preoperative values (0.97 ± 0.09 and 1.10 ± 0.12). Although the difference was not statistically significant, the SIIV and SIAV would numerically present the changes in malar bone fracture postoperatively. Conclusion: The SIAV and SIIV based on clinical practice could numerically assess the symmetry of the malar mound.