Can online based learning activities improve learning outcomes in classroom teaching?

Students and teachers, in fact everybody, are facing an overload of information with a risk of disinformation as seen for example in the medical community (Steen, 2011). Access to information is thought to be ‘easy’,but access to accurate information may not be (Eppler & Mengis, 2008). I believe this is the case for science as well as education

Do glucagonomas always produce glucagon?

Pancreatic islet α-cell tumours that overexpress proglucagon are typically associated with the glucagonoma syndrome, a rare disease entity characterised by necrolytic migratory erythema, impaired glucose tolerance, thromboembolic complications and psychiatric disturbances. Paraneoplastic phenomena associated with enteric overexpression of proglucagon-derived peptides are less well recognized and include gastrointestinal dysfunction and hyperinsulinaemic hypoglycaemia. The diverse clinical manifestations associated with glucagon-expressing tumours can be explained, in part, by the repertoire of tumorally secreted peptides liberated through differential post-translational processing of tumour-derived proglucagon. Proglucagon-expressing tumours may be divided into two broad biochemical subtypes defined by either secretion of glucagon or GLP-1, GLP-2 and the glucagon-containing peptides, glicentin and oxyntomodulin, due to an islet α-cell or enteroendocrine L-cell pattern of proglucagon processing, respectively. In the current review we provide an updated overview of the clinical presentation of proglucagon-expressing tumours in relation to known physiological actions of proglucagon-derived peptides and suggest that detailed biochemical characterisation of the peptide repertoire secreted from these tumours may provide new opportunities for diagnosis and clinical management.   

The intestinal distribution pattern of appetite- and glucose regulatory peptides in mice, rats and pigs

Additional file 1: Table S1. Measured concentrations

Glucagon Receptor Signaling and Lipid Metabolism

Glucagon is secreted from the pancreatic alpha cells upon hypoglycemia and stimulates hepatic glucose production. Type 2 diabetes is associated with dysregulated glucagon secretion, and increased glucagon concentrations contribute to the diabetic hyperglycemia. Antagonists of the glucagon receptor have been considered as glucose-lowering therapy in type 2 diabetes patients, but their clinical applicability has been questioned because of reports of therapy-induced increments in liver fat content and increased plasma concentrations of low-density lipoprotein. Conversely, in animal models, increased glucagon receptor signaling has been linked to improved lipid metabolism. Glucagon acts primarily on the liver and by regulating hepatic lipid metabolism glucagon may reduce hepatic lipid accumulation and decrease hepatic lipid secretion. Regarding whole-body lipid metabolism, it is controversial to what extent glucagon influences lipolysis in adipose tissue, particularly in humans. Glucagon receptor agonists combined with glucagon-like peptide 1 receptor agonists (dual agonists) improve dyslipidemia and reduce hepatic steatosis. Collectively, emerging data support an essential role of glucagon for lipid metabolism

Defining NASH from a multi-omics systems biology perspective

Non-alcoholic steatohepatitis (NASH) is a chronic liver disease affecting up to 6.5% of the general population. There is no simple definition of NASH, and the molecular mechanism underlying disease pathogenesis remains elusive. Studies applying single omics technologies have enabled a better understanding of the molecular profiles associated with steatosis and hepatic inflammation—the commonly accepted histologic features for diagnosing NASH, as well as the discovery of novel candidate biomarkers. Multi-omics analysis holds great potential to uncover new insights into disease mechanism through integrating multiple layers of molecular information. Despite the technical and computational challenges associated with such efforts, a few pioneering studies have successfully applied multi-omics technologies to investigate NASH. Here, we review the most recent technological developments in mass spectrometry (MS)-based proteomics, metabolomics, and lipidomics. We summarize multi-omics studies and emerging omics biomarkers in NASH and highlight the biological insights gained through these integrated analyses