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We investigated the efficacy of real-time continuous glucose monitoring (rtCGM) and intermittently scanned continuous glucose monitoring (isCGM) on change in A1C. CORRIDA LIFE was a 12 month, real-world, non-randomized trial that assessed the impact of rtCGM (Dexcom G5 or G6) vs. isCGM (FreeStyle Libre 14-Day, Abbott) on A1C and other CGM metrics in adults with T1D. Patients on MDI therapy or CSII with no automatic functions were included. One hundred ninety-one adults with T1D (mean age 40±13 years, A1C 8.1±3.4% [65±14 mmol/mol]) participated in this study; 81 patients initiated rtCGM and 110 initiated isCGM. After 12-months, A1C was significantly lower with rtCGM vs. isCGM (7.1±3.1% [54.1±10.1 mmol/mol] vs. 7.7±3.3% [61.2±12.2 mmol/mol]) , p=0.0001. (Figure 1) The percentage of time in hypoglycemia ( Disclosure L. Radovnická: Consultant; Medtronic, Speaker’s Bureau; Boehringer Ingelheim International GmbH, Eli Lilly and Company, Novo Nordisk, Sanofi. M. Prazny: Advisory Panel; Bayer AG, Consultant; Boehringer Ingelheim International GmbH, Speaker’s Bureau; Abbott Diabetes, Amgen Inc., Eli Lilly and Company, Medtronic, Merck Sharp & Dohme Corp., Novartis Pharmaceuticals Corporation, Novo Nordisk, Sanofi. J. Soupal: Advisory Panel; Abbott Diabetes, Roche Diabetes Care, Speaker’s Bureau; Boehringer Ingelheim International GmbH, Dexcom, Inc., Lilly Diabetes, Medtronic, Novo Nordisk. A. Hásková: None. Q. Do: None. E. Horova: None. V. Navrátilová: None. O. Mikes: None. D. Cihlár: None. C. Parkin: Consultant; Abbott Diabetes, CeQur SA, Dexcom, Inc., LifeScan, MannKind Corporation, Novo Nordisk, Provention Bio, Inc., Roche Diabetes Care. G. Grunberger: Advisory Panel; LifeScan, Nevro Corp., Research Support; Medtronic, Speaker’s Bureau; Abbott Diabetes, Eli Lilly and Company, Novo Nordisk. Funding Ministry of Health, Czech Republic, General University Hospital in Prague

A recent Diabetes Care study found flaws in Medicare's competitive bidding program for diabetes test strips. Two of that study's co-authors discuss the findings and why CMS should suspend the bidding program.

Data abstraction is a key step in conducting systematic reviews because data collected from study reports form the basis of appropriate conclusions. Recent methodological standards and expectations highlight several principles for data collection. To support implementation of these standards, this article provides a step-by-step tutorial for selecting data collection tools; constructing data collection forms; and abstracting, managing, and archiving data for systematic reviews. Examples are drawn from recent experience using the Systematic Review Data Repository for data collection and management. If it is done well, data collection for systematic reviews only needs to be done by 1 team and placed into a publicly accessible database for future use. Technological innovations, such as the Systematic Review Data Repository, will contribute to finding trustworthy answers for many health and health care questions.

Neonates are exposed to elevated levels of reactive oxygen species as they transition from a hypoxic intrauterine to a normoxic extrauterine environment at birth. This increased oxidative stress is associated with neonatal morbidity. Current antioxidant supplementation treatment strategies have yet to translate into improved neonatal outcomes. Our understanding of a newborn's intricate redox balance, particularly at the genomic level, remains limited. Here, we performed genomic microarray analyses (approximately 14,500 genes) on extracted mRNA from umbilical cord whole blood at term gestation (n=10). Bioinformatic analyses identified 282 genes (2.0%) that were consistently present within the highest quintile of expressed genes. These genes were highly associated with oxidant stress and included superoxide dismutase 1, catalase, peroxiredoxins, and uncoupling proteins. Pathway analyses identified statistically significantly overrepresented functional pathways including "oxidative stress," "oxidative stress response mediated by nuclear factor-erythroid 2-related factor," "hypoxia-inducible factor signaling," and "mitochondrial dysfunction" (p

In Brief The medical risks associated with eating disorders in diabetes are significant. Clinicians working with patients who are at risk for eating disorders should be cognizant of patterns that might indicate the presence of disturbed eating behaviors in their patients. This article discusses the warning signs, screening tools, and diagnostic criteria associated with eating disorders in type 1 diabetes.

In Brief Disturbed eating behaviors are common in adolescent girls and young women; however, these behaviors are significantly more common in those with type 1 diabetes than in the general population. Long-term treatment of patients with eating disorders and type 1 diabetes (ED-DMT1) often occurs in outpatient settings. This article reviews the clinical issues and strategies relevant to the outpatient treatment of ED-DMT1.

PyMOL is a molecular modeling program that can be used in a wide range of studies within the scientific community. Its ability to produce informative, detailed, stereoscopic images makes it a very powerful tool both in the laboratory and in the classroom. However, the PyMOL user interface is difficult to use, and the PyMOL User's Manual readily admits that "development has been focused on capabilities, not on ease-of-use for new users." To resolve this, we set out to develop a new interface for PyMOL that helps eliminate the need for command line interactions, making it a much more user-friendly interface. We have created a tabbed interface called EZ-Viz, which contains a series of buttons and entry fields that allow users to select given attributes of a molecule and make changes to it by clicking a button as opposed to issuing highly syntactical commands. Other features of the interface include a Chime/PyMOL command converter, nine preset molecular views, four molecular movies, and molecular sequence and hetero atom information, all at the click of a button. The ongoing and continued development of EZ-Viz could help to further the use of PyMOL, which we believe to be one of the most powerful molecular viewing programs currently available.

Self-monitoring of blood glucose (SMBG) is a core component of diabetes management. However, the International Diabetes Federation recommends that SMBG be performed in a structured manner and that the data are accurately interpreted and used to take appropriate therapeutic actions. We designed a study to evaluate the impact of structured SMBG on glycemic control in non-insulin-treated type 2 diabetes (T2DM) patients. The Prospective, Randomized Trial on Intensive SMBG Management Added Value in Non-insulin-Treated T2DM Patients (PRISMA) is a 12-month, prospective, multicenter, open, parallel group, randomized, and controlled trial to evaluate the added value of an intensive, structured SMBG regimen in T2DM patients treated with oral agents and/or diet. One thousand patients (500 per arm) will be enrolled at 39 clinical sites in Italy. Eligible patients will be randomized to the intensive structured monitoring (ISM) group or the active control (AC) group, with a glycosylated hemoglobin (HbA1c) target of

The loss of muscle mass in alcoholic myopathy may reflect alcohol inhibition of myogenic cell differentiation into myotubes. Here, using a high content imaging system we show that ethanol inhibits C2C12 myoblast differentiation by reducing myogenic fusion, creating smaller and less complex myotubes compared with controls. Ethanol administration during C2C12 differentiation reduced MyoD and myogenin expression, and microarray analysis identified ethanol activation of the Notch signaling pathway target genes Hes1 and Hey1. A reporter plasmid regulated by the Hes1 proximal promoter was activated by alcohol treatment in C2C12 cells. Treatment of differentiating C2C12 cells with a gamma secretase inhibitor (GSI) abrogated induction of Hes1. On a morphological level GSI treatment completely rescued myogenic fusion defects and partially restored other myotube parameters in response to alcohol. We conclude that alcohol inhibits C2C12 myoblast differentiation and the inhibition of myogenic fusion is mediated by Notch pathway activation.

To perform discovery-driven research on the neonatal salivary and cord blood transcriptomes.Two separate cohorts of infants were enrolled in this study. In one, cord blood (n = 10) and in the other, saliva samples (n = 10) were collected at term gestation. Total RNA was extracted, amplified and hybridized onto Affymetrix HG U133a gene expression microarrays. Following normalization, genes expressed in the highest quintile (≥ 80%) across all subjects in each biofluid were analyzed with Ingenuity Pathway Analysis. Over-represented pathways relating to organ specific development and physiological functions in the newborn were explored.There were 303 genes in neonatal saliva and 282 genes in umbilical cord blood that met statistical criteria. Of these, 114 were common to both biofluids. Pathway analyses revealed the important roles of redox balance, cellular proliferation, and smooth muscle relaxation. In blood, hematopoiesis and immune response pathways predominated. In saliva, pathways associated with the gastrointestinal system were highlighted.Neonatal cord blood and saliva provide a wealth of transcriptomic information. These normally discarded biofluids should be considered an important source of real-time gene expression data that may elucidate key pathways in neonatal physiology and pathology.

Systematic reviews have become increasingly critical to informing healthcare policy; however, they remain a time-consuming and labor-intensive activity. The extraction of data from constituent studies comprises a significant portion of this effort, an activity which is often needlessly duplicated, such as when attempting to update a previously conducted review or in reviews of overlapping topics. In order to address these inefficiencies, and to improve the speed and quality of healthcare policy- and decision-making, we have initiated the development of the Systematic Review Data Repository, an open collaborative Web-based repository of systematic review data. As envisioned, this resource would serve as both a central archive and data extraction tool, shared among and freely accessible to organizations producing systematic reviews worldwide. A suite of easy-to-use software tools with a Web frontend would enable researchers to seamlessly search for and incorporate previously deposited data into their own reviews, as well as contribute their own. In developing this resource, we identified a number of technical and non-technical challenges, as well as devised a number of potential solutions, including proposals for systems and software tools to assure data quality, stratify and control user access effectively and flexibly accommodate all manner of study data, as well as means by which to govern and foster adoption of this new resource. Herein we provide an account of the rationale and development of the Systematic Review Data Repository thus far, as well as outline its future trajectory.

The molecular mechanisms conferring resistance to docetaxel in prostate cancer patients remain partially understood. We generated docetaxel resistant derivatives of the androgen independent prostate cancer cell lines PC-3 and DU-145. Docetaxel rapidly induces DU-145 cell death via apoptosis and the drug resistant cells were produced by periodically exposing proliferating DU-145 cultures to small doses of docetaxel. In PC-3 cells docetaxel induces delayed cell death via mitotic catastrophe evident by profound multinucleation and formation of giant cells. Mononucleated progeny of the giant PC-3 cells shows significant resistance to docetaxel. Gene expression profiling of these docetaxel resistant PC-3 cells revealed sets of docetaxel inducible and constitutively expressed genes associated with major cancer pathways. A contradictory overlap with DU-145 docetaxel resistant cells was also found. Analyses suggested significant changes associated with apoptotic function, DNA repair, cell growth, survival and proliferation, metabolism, maintenance of cytoskeleton and extracellular matrix formation. These cellular processes often contribute to drug resistance and our study identified a set of genes managing this phenotype. Additional analyses of the drug resistant PC-3 cells using shRNA constructs determined direct relevance of Cyclin G2 to docetaxel resistance as well as prevention of multinucleation, whereas the knockdown of upregulated CYP1B1 showed no effect on either of these processes. Downregulated GBP1 was explored by ectopic overexpression and even though GBP1 has a potential to mediate resistance to docetaxel, it was not utilized in PC-3 cells. The results suggest complex combination of gene expression pattern changes that enables resistance to docetaxel while preventing death via multinucleation.