Gastrokine-1, an anti-amyloidogenic protein secreted by the stomach, regulates diet-induced obesity.

Obesity and its sequelae have a major impact on human health. The stomach contributes to obesity in ways that extend beyond its role in digestion, including through effects on the microbiome. Gastrokine-1 (GKN1) is an anti-amyloidogenic protein abundantly and specifically secreted into the stomach lumen. We examined whether GKN1 plays a role in the development of obesity and regulation of the gut microbiome. Gkn1-/- mice were resistant to diet-induced obesity and hepatic steatosis (high fat diet (HFD) fat mass (g) = 10.4 ± 3.0 (WT) versus 2.9 ± 2.3 (Gkn1-/-) p < 0.005; HFD liver mass (g) = 1.3 ± 0.11 (WT) versus 1.1 ± 0.07 (Gkn1-/-) p < 0.05). Gkn1-/- mice also exhibited increased expression of the lipid-regulating hormone ANGPTL4 in the small bowel. The microbiome of Gkn1-/- mice exhibited reduced populations of microbes implicated in obesity, namely Firmicutes of the class Erysipelotrichia. Altered metabolism consistent with use of fat as an energy source was evident in Gkn1-/- mice during the sleep period. GKN1 may contribute to the effects of the stomach on the microbiome and obesity. Inhibition of GKN1 may be a means to prevent obesity.

Conservative management of urachal anomalies.

PURPOSE: The purpose of this study was to evaluate trends in management of urachal anomalies at our institution and the safety of nonoperative care. METHODS: Based on our experience managing urachal remnants from 2000 to 2010 (reported in 2012), we adopted a more conservative approach, including preoperative antibiotic use, refraining from using voiding cystourethrograms (VCUG), postponing surgery until at least six months of age, and considering nonoperative management. A retrospective analysis of urachal anomaly cases was conducted (2011-2016) to assess trends in practice. Charts indicating anomalies of the urachus were pulled and trends in management (nonoperative versus surgical treatment), VCUG and antibiotic use, and outcomes were reviewed. RESULTS: Data from 2000-2010 and 2013-2016 were compared. Our findings indicate care has shifted towards nonoperative management. A smaller proportion of patients from 2013-2016 was treated surgically compared to 2000-2010. Patients receiving nonoperative treatment exhibited lower rates of complication relative to surgically managed cases. VCUGs were eliminated as a diagnostic tool for evaluating urachal anomalies. Prophylactic preoperative antibiotic use was standardized. No patients with a known urachal remnant presented later with an abscess or sepsis. CONCLUSIONS: We find that a shift towards nonoperative treatment of urachal anomalies did not adversely affect overall outcomes. We recommend observing minimally symptomatic patients, especially those under six months old. STUDY TYPE: Performance improvement. LEVEL OF EVIDENCE: Level IV.

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals.

Biomedical imaging modalities like computed tomography (CT) and magnetic resonance (MR) provide excellent platforms for collecting three-dimensional data sets of patient or specimen anatomy in clinical or preclinical settings. However, the use of a virtual, on-screen display limits the ability of these tomographic images to fully convey the anatomical information embedded within. One solution is to interface a biomedical imaging data set with 3D printing technology to generate a physical replica. Here we detail a complementary method to visualize tomographic imaging data with a hand-held model: Sub Surface Laser Engraving (SSLE) of crystal glass. SSLE offers several unique benefits including: the facile ability to include anatomical labels, as well as a scale bar; streamlined multipart assembly of complex structures in one medium; high resolution in the X, Y, and Z planes; and semi-transparent shells for visualization of internal anatomical substructures. Here we demonstrate the process of SSLE with CT data sets derived from pre-clinical and clinical sources. This protocol will serve as a powerful and inexpensive new tool with which to visualize complex anatomical structures for scientists and students in a number of educational and research settings.