Adipocyte subpopulations mediate lipolysis and obesity-induced insulin resistance.

Studies in humans and mice have determined that distinct subpopulations of adipocytes reside even within individual adipose tissue depots. Previously, our lab defined three white adipocyte subpopulations with stable and unique gene expression profiles, which were termed type 1, 2, and 3 adipocytes, respectively. Our previous studies demonstrated that type 2 adipocytes were highly responsive to the inflammatory cytokine, tumor necrosis factor alpha (TNFα).

Adipocyte Subpopulations Mediate Growth Hormone-induced Lipolysis and Glucose Tolerance in Male Mice.

In adipose tissue, growth hormone (GH) stimulates lipolysis, leading to an increase in plasma free fatty acid levels and a reduction in insulin sensitivity. In our previous studies, we have found that GH increases lipolysis by reducing peroxisome proliferator-activated receptor γ (PPARγ) transcription activity, leading to a reduction of tat-specific protein 27 (FSP27, also known as CIDEC) expression. In previous studies, our laboratory uncovered 3 developmentally distinct subpopulations of white adipocytes.

Neuroprotective Effects of Shogaol in Metals (Al, As and Pb) and High-fat diet-induced Neuroinflammation and Behavior in Mice.

Background: Increased exposure of humans to toxic metals and high-fat diet (HFD) consumption severely damages brain health. Natural plant extracts have shown huge potential to treat multiple human diseases.

Objective: The present study was designed to evaluate the protective effects of Shogaol (an active component of ginger) in neuroinflammation and behavioral paradigms in mice treated with metals and HFD.

Machine learning distinguishes neurosurgical skill levels in a virtual reality tumor resection task.

This study outlines the first investigation of application of machine learning to distinguish "skilled" and "novice" psychomotor performance during a virtual reality (VR) brain tumor resection task. Tumor resection task participants included 23 neurosurgeons and senior neurosurgery residents as the "skilled" group and 92 junior neurosurgery residents and medical students as the "novice" group. The task involved removing a series of virtual brain tumors without causing injury to surrounding tissue.