Elevated Fibroblast growth factor 21 (FGF21) in obese, insulin resistant states is normalised by the synthetic retinoid Fenretinide in mice

The authors would like to thank undergraduate student Aleksandra Kowalczuk (University of Aberdeen) for assisting in experiments and Dr. Emma K. Lees (School of Health Sciences, Liverpool Hope University, Liverpool, UK) for invaluable discussions concerning the regulation of FGF21. We thank Dr. Calum Sutherland and Dr. Amy Cameron (both Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Scotland, UK) for technical support and expertise in performing hepatocyte studies. Fenretinide was a generous gift of T. Martin (Johnson & Johnson, New Brunswick, NJ) and U. Thumeer (Cilag AG, Schaffhausen, Switzerland), for use completely without restriction or obligation. Quantitative-PCR was carried out using the qPCR Core Facility (Institute of Medical Sciences, University of Aberdeen). RNA-sequencing was carried out at the University of Aberdeen Centre for Genome Enabled Biology and Medicine. Pancreas histology was performed by Dr Linda Davidson (Department of Histology, Aberdeen Royal Infirmary, NHS Grampian, Foresterhill Health Campus, Aberdeen, UK). This study was supported by the British Heart Foundation Intermediate Basic Research Fellowship FS/09/026 to N. Mody, RCUK fellowship to MD, EFSD/Lilly Programme Grant to MD and N. Mody, Tenovus Scotland grants G10/04 and G14/14 to N. Mody, University of Aberdeen Centre for Genome Enabled Biology and Medicine (CGEBM) PhD studentship to N. Morrice and Biotechnology and Biological Sciences Research Council studentship to GDM.Peer reviewedPublisher PD

Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks

Ventilation treatment of acute lung injury (ALI) requires the application of positive airway pressure at the end of expiration (PEEPapp) to avoid lung collapse. However, the total pressure exerted on the alveolar walls (PEEPtot) is the sum of PEEPapp and intrinsic PEEP (PEEPi), a hidden component. To measure PEEPtot, ventilation must be discontinued with an end-expiratory hold maneuver (EEHM). We hypothesized that artificial neural networks (ANN) could estimate the PEEPtot from flow and pressure tracings during ongoing mechanical ventilation. Ten pigs were mechanically ventilated, and the time constant of their respiratory system (τRS) was measured. We shortened their expiratory time (TE) according to multiples of τRS, obtaining different respiratory patterns (Rpat). Pressure (PAW) and flow (V′AW) at the airway opening during ongoing mechanical ventilation were simultaneously recorded, with and without the addition of external resistance. The last breath of each Rpat included an EEHM, which was used to compute the reference PEEPtot. The entire protocol was repeated after the induction of ALI with i.v. injection of oleic acid, and 382 tracings were obtained. The ANN had to extract the PEEPtot, from the tracings without an EEHM. ANN agreement with reference PEEPtot was assessed with the Bland–Altman method. Bland Altman analysis of estimation error by ANN showed −0.40 ± 2.84 (expressed as bias ± precision) and ±5.58 as limits of agreement (data expressed as cmH2O). The ANNs estimated the PEEPtot well at different levels of PEEPapp under dynamic conditions, opening up new possibilities in monitoring PEEPi in critically ill patients who require ventilator treatment

Susceptibility to diet-induced obesity and glucose intolerance in the APP (SWE)/PSEN1 (A246E) mouse model of Alzheimer's disease is associated with increased brain levels of protein tyrosine phosphatase 1B (PTP1B) and retinol-binding protein 4 (RBP4), and basal phosphorylation of S6 ribosomal protein

Aims/hypothesis. Obesity is a major risk factor for development of insulin resistance, a proximal cause of type 2 diabetes and is also associated with an increased relative risk of Alzheimer’s disease. We therefore investigated the susceptibility of transgenic mice carrying human mutated transgenes for amyloid precursor protein (APPSWE) and presenilin 1 (PSEN1A246E) (APP/PSEN1), or PSEN1A246E alone, which are well-characterised animal models of Alzheimer’s disease, to develop obesity, glucose intolerance and insulin resistance, and whether this was age- and/or diet-dependent. Methods We analysed the effects of age and/or diet on body weight of wild-type, PSEN1 and APP/PSEN1 mice. We also analysed the effects of diet on glucose homeostasis and insulin signalling in these mice. Results While there were no body weight differences between 16–17- and 20–21-month-old PSEN1 mice, APP/PSEN1 mice and their wild-type controls on standard, low-fat, chow diet, the APP/PSEN1 mice still exhibited impaired glucose homeostasis, as investigated by glucose tolerance tests. This was associated with increased brain protein tyrosine phosphatase 1B protein levels in APP/PSEN1 mice. Interestingly, short-term high-fat diet (HFD) feeding of wild-type, PSEN1 and APP/PSEN1 mice for a period of 8 weeks led to higher body weight gain in APP/PSEN1 than in PSEN1 mice and wild-type controls. In addition, HFD-feeding caused fasting hyperglycaemia and worsening of glucose maintenance in PSEN1 mice, the former being further exacerbated in APP/PSEN1 mice. The mechanism(s) behind this glucose intolerance in PSEN1 and APP/PSEN1 mice appeared to involve increased levels of brain retinol-binding protein 4 and basal phosphorylation of S6 ribosomal protein, and decreased insulin-stimulated phosphorylation of Akt/protein kinase B and extracellular signal-regulated kinase 1/2 in the brain. Conclusions/interpretation Our results indicate that Alzheimer’s disease increases susceptibility to body weight gain induced by HFD, and to the associated glucose intolerance and insulin resistance

Correction: Adipocyte-Specific Protein Tyrosine Phosphatase 1B Deletion Increases Lipogenesis, Adipocyte Cell Size and Is a Minor Regulator of Glucose Homeostasis.

[This corrects the article on p. e32700 in vol. 7.]

Jetting of Complex Fluids

Recent results from a number of UK academic inkjet research studies advance the understanding of complex fluid jetting behavior and may be of interest to the wider digital fabrication community for the enhancement of inkjet printing applications. (C) 2013 Society for Imaging Science and Technology.ungraded112sciescopu

Jetting of complex fluids

Recent results from a number of UK academic inkjet research studies advance the understanding of complex fluid jetting behavior and may be of interest to the wider digital fabrication community for the enhancement of inkjet printing applications