Regulation of growth hormone induced JAK2 and mTOR signalling by hepatic protein tyrosine phosphatase 1B.

Protein tyrosine phosphatase 1B (PTP1B) regulates various signalling pathways including insulin, leptin, IGF-1 and growth hormone (GH) signalling. Transmission of the GH signal depends on Janus kinase 2 (JAK2), which is how PTP1B is thought to modulate GH signalling in the liver, based on studies utilising global PTP1B knockout mice (Ptp1b(-/-)). Here, we investigated the liver-specific role of PTP1B in GH signalling, using liver-specific Ptp1b(-/-) mice (alb-crePtp1b(-/-)), under physiological (chow) or insulin resistant (high-fat diet [HFD]) feeding conditions. Body weight and adiposity were comparable between female alb-crePtp1b(-/-) and Ptp1b(fl/fl) control mice. On chow diet, under 48-hour fasting GH-resistant conditions, GH stimulation in vivo led to a robust stimulation of the JAK-STAT signalling pathway. Alb-crePtp1b(-/-) mice exhibited significantly higher GH-induced JAK2 phosphorylation and SOCS3 gene expression post-GH stimulation. However, STAT3, STAT5 and ERK1/2 phosphorylation and SOCS2 gene expression were similar between groups. Interestingly, GH-induced mTOR phosphorylation was significantly higher in alb-crePtp1b(-/-) mice 5-min post-GH stimulation compared to controls, revealing this part of the pathway under direct control of PTP1B. Under ad lib HFD-fed conditions, GH-induced STAT5 phosphorylation significantly increased in alb-crePtp1b(-/-) mice only, with no alterations in the controls. Overall, our data demonstrate that liver-specific PTP1B deletion leads to significant alterations in GH signalling with increased JAK2, STAT5 and mTOR phosphorylation and SOCS3 gene expression

Reduction in BACE1 decreases body weight, protects against diet-induced obesity and enhances insulin sensitivity in mice

Insulin resistance and impaired glucose homoeostasis are important indicators of Type 2 diabetes and are early risk factors of AD (Alzheimer's disease). An essential feature of AD pathology is the presence of BACE1 (β-site amyloid precursor protein-cleaving enzyme 1), which regulates production of toxic amyloid peptides. However, whether BACE1 also plays a role in glucose homoeostasis is presently unknown. We have used transgenic mice to analyse the effects of loss of BACE1 on body weight, and lipid and glucose homoeostasis. BACE1−/− mice are lean, with decreased adiposity, higher energy expenditure, and improved glucose disposal and peripheral insulin sensitivity than wild-type littermates. BACE1−/− mice are also protected from diet-induced obesity. BACE1-deficient skeletal muscle and liver exhibit improved insulin sensitivity. In a skeletal muscle cell line, BACE1 inhibition increased glucose uptake and enhanced insulin sensitivity. The loss of BACE1 is associated with increased levels of UCP1 (uncoupling protein 1) in BAT (brown adipose tissue) and UCP2 and UCP3 mRNA in skeletal muscle, indicative of increased uncoupled respiration and metabolic inefficiency. Thus BACE1 levels may play a critical role in glucose and lipid homoeostasis in conditions of chronic nutrient excess. Therefore strategies that ameliorate BACE1 activity may be important novel approaches for the treatment of diabetes

Adipocyte-specific protein tyrosine phosphatase 1B deletion increases lipogenesis, adipocyte cell size and is a minor regulator of glucose homeostasis

Peer reviewedPublisher PD

Inducible liver-specific knockdown of protein tyrosine phosphatase 1B improves glucose and lipid homeostasis in adult mice.

AIMS/HYPOTHESIS Protein tyrosine phosphatase 1B (PTP1B) is a key negative regulator of insulin signalling. Hepatic PTP1B deficiency, using the Alb-Cre promoter to drive Ptp1b deletion from birth in mice, improves glucose homeostasis, insulin sensitivity and lipid metabolism. The aim of this study was to investigate the therapeutic potential of decreasing liver PTP1B levels in obese and insulin-resistant adult mice. METHODS Inducible Ptp1b liver-specific knockout mice were generated using SA-Cre-ER(T2) mice crossed with Ptp1b floxed (Ptp1b(fl/fl)) mice. Mice were fed a high-fat diet (HFD) for 12 weeks to induce obesity and insulin resistance. Tamoxifen was administered in the HFD to induce liver-specific deletion of Ptp1b (SA-Ptp1b(-/-) mice). Body weight, glucose homeostasis, lipid homeostasis, serum adipokines, insulin signalling and endoplasmic reticulum (ER) stress were examined. RESULTS Despite no significant change in body weight relative to HFD-fed Ptp1b(fl/fl) control mice, HFD-fed SA-Ptp1b(-/-) mice exhibited a reversal of glucose intolerance as determined by improved glucose and pyruvate tolerance tests, decreased fed and fasting blood glucose and insulin levels, lower HOMA of insulin resistance, circulating leptin, serum and liver triacylglycerols, serum NEFA and decreased HFD-induced ER stress. This was associated with decreased glycogen synthase, eukaryotic translation initiation factor-2α kinase 3, eukaryotic initiation factor 2α and c-Jun NH2-terminal kinase 2 phosphorylation, and decreased expression of Pepck. CONCLUSIONS/INTERPRETATION Inducible liver-specific PTP1B knockdown reverses glucose intolerance and improves lipid homeostasis in HFD-fed obese and insulin-resistant adult mice. This suggests that knockdown of liver PTP1B in individuals who are already obese/insulin resistant may have relatively rapid, beneficial therapeutic effects

Three options for citation tracking: Google Scholar, Scopus and Web of Science

BACKGROUND: Researchers turn to citation tracking to find the most influential articles for a particular topic and to see how often their own published papers are cited. For years researchers looking for this type of information had only one resource to consult: the Web of Science from Thomson Scientific. In 2004 two competitors emerged – Scopus from Elsevier and Google Scholar from Google. The research reported here uses citation analysis in an observational study examining these three databases; comparing citation counts for articles from two disciplines (oncology and condensed matter physics) and two years (1993 and 2003) to test the hypothesis that the different scholarly publication coverage provided by the three search tools will lead to different citation counts from each. METHODS: Eleven journal titles with varying impact factors were selected from each discipline (oncology and condensed matter physics) using the Journal Citation Reports (JCR). All articles published in the selected titles were retrieved for the years 1993 and 2003, and a stratified random sample of articles was chosen, resulting in four sets of articles. During the week of November 7–12, 2005, the citation counts for each research article were extracted from the three sources. The actual citing references for a subset of the articles published in 2003 were also gathered from each of the three sources. RESULTS: For oncology 1993 Web of Science returned the highest average number of citations, 45.3. Scopus returned the highest average number of citations (8.9) for oncology 2003. Web of Science returned the highest number of citations for condensed matter physics 1993 and 2003 (22.5 and 3.9 respectively). The data showed a significant difference in the mean citation rates between all pairs of resources except between Google Scholar and Scopus for condensed matter physics 2003. For articles published in 2003 Google Scholar returned the largest amount of unique citing material for oncology and Web of Science returned the most for condensed matter physics. CONCLUSION: This study did not identify any one of these three resources as the answer to all citation tracking needs. Scopus showed strength in providing citing literature for current (2003) oncology articles, while Web of Science produced more citing material for 2003 and 1993 condensed matter physics, and 1993 oncology articles. All three tools returned some unique material. Our data indicate that the question of which tool provides the most complete set of citing literature may depend on the subject and publication year of a given article

Genetički polimorfizmi u dijabetesu: Utjecaj na terapiju oralnim antidijabeticima

Due to new genetic insights, etiologic classification of diabetes is under constant scrutiny. Hundreds, or even thousands, of genes are linked with type 2 diabetes. Three common variants (Lys23 of KCNJ11, Pro12 of PPARG, and the T allele at rs7903146 of TCF7L2) have been shown to be predisposed to type 2 diabetes mellitus across many large studies. Individually, each of these polymorphisms is only moderately predisposed to type 2 diabetes. On the other hand, monogenic forms of diabetes such as MODY and neonatal diabetes are characterized by unique clinical features and the possibility of applying a tailored treatment. Genetic polymorphisms in drug-metabolizing enzymes, transporters, receptors, and other drug targets have been linked to interindividual differences in the efficacy and toxicity of a number of medications. Mutations in genes important in drug absorption, distribution, metabolism and excretion (ADME) play a critical role in pharmacogenetics of diabetes. There are currently five major classes of oral pharmacological agents available to treat type 2 diabetes: sulfonylureas, meglitinides, metformin (a biguanide), thiazolidinediones, and α-glucosidase inhibitors. Other classes are also mentioned in literature. In this work, different types of genetic mutations (mutations of the gene for glucokinase, HNF 1, HNF1ß and Kir6.2 and SUR1 subunit of KATP channel, PPAR-γ, OCT1 and OCT2, cytochromes, direct drug-receptor (KCNJ11), as well as the factors that influence the development of the disease (TCF7L2) and variants of genes that lead to hepatosteatosis caused by thiazolidinediones) and their influence on the response to therapy with oral antidiabetics will be reviewed.Dijabetes tipa 2 dosegao je proporcije epidemije u SAD (> 18 milijuna) i cijelom svijetu (170 milijuna oboljelih osoba) te ima tendenciju daljnjeg dramatičnog rasta. Stoga se u posljednje vrijeme ulažu napori da se otkriju i razviju novi farmakološki agensi za liječenje ove bolesti. Klasifikacija šećerne bolesti proširena je uspjesima istraživača na području genetike. Da bismo razumjeli farmakogenetiku antidijabetika neophodno je razumjeti genetiku samog dijabetesa. Kao što će biti prikazano u ovom radu veliki broj gena koji su povezani s razvojem dijabetesa takođe utječu i na odgovor na terapiju antidijabeticima. S druge strane, mutacije gena koji utječu na ADME (apsorpcija, distribucija, metabolizam i ekskrecija) lijeka imaju značajan utjecaj na farmakogenetiku oralnih antidijabetika. Utvrđeno je da je dijabetes genetički heterogena bolest. Uobičajeni oblici dijabetesa su gotovo uvijek poligenski i za razvoj same bolesti vrlo su značajne snažne interakcije među različitim genima kao i između gena i okoliša. Zbog toga mutacije ili polimorfizmi koji u manjoj mjeri utječu na funkciju gena mogu postati klinički značajni samo u slučaju kada se kombiniraju s drugim faktorima odnosno genima. Smatra se da u razvoju dijabetesa mogu sudjelovati stotine pa čak i tisuće gena. Do 2006. identificirano je nekoliko uobičajenih alela koji povećavaju rizik za razvoj dijabetesa, od kojih su najznačajniji PPARG (Pro12), KCNJ11 (Lys23) i TCF7L2 (T na rs7903146). Do danas je najveći uspjeh postignut u identifikaciji gena odgovornih za razmjerno rijetke oblike ove bolesti poput ”Maturity-onset diabetes of the young” (MODY) i neonatalnog dijabetesa. Monogenske oblike dijabetesa odlikuju jedinstvene kliničke karakteristike i mogućnost primjene individualnog tretmana. Genetički polimorfizmi enzima koji utječu na metabolizam lijekova, transportera, receptora i drugih ciljeva djelovanja lijekova povezani su s interindividualnim razlikama u efikasnosti i toksičnosti mnogih lijekova. Vrlo je važno da se na temelju farmakogenetičkih istraživanja mogu predvidjeti neki neželjeni efekti lijekova. Trenutačno postoji pet glavnih klasa oralnih antidijabetika: sulfoniluree, meglitinidi, metformin (bigvanid), tiazolidindioni i inhibitori α-glukozidaze. U literaturi se također spominju inhibitori dipeptidil peptidaze IV (DPP-IV), selektivni antagonisti kanabinoidnog receptora 1 (CB-1), glukagonu slični peptid 1 mimetici i amilin mimetici. Razumijevanje mehanizama koji rezultiraju disfunkcijom β stanica na fiziološkom i molekularnom nivou neophodno je za napredak u razumijevanju tretmana dijabetesa. U ovom radu dat je pregled različitih genetičkih mutacija (mutacije gena za glukokinazu, HNF 1, HNF1ß, Kir6.2 i SUR 1 podjedinicu KATP kanala ß stanica, PPAR-γ, OCT1 i OCT2, citohrome, KCNJ11, faktore koji utječu na razvoj bolesti (TCF7L2) i varijante gena koji dovode do hepatosteatoze uzrokovane tiazolidindionima) te njihov utjecaj na odgovor na terapiju oralnim antidijabeticima

Clique-based data mining for related genes in a biomedical database

<p>Abstract</p> <p>Background</p> <p>Progress in the life sciences cannot be made without integrating biomedical knowledge on numerous genes in order to help formulate hypotheses on the genetic mechanisms behind various biological phenomena, including diseases. There is thus a strong need for a way to automatically and comprehensively search from biomedical databases for related genes, such as genes in the same families and genes encoding components of the same pathways. Here we address the extraction of related genes by searching for densely-connected subgraphs, which are modeled as cliques, in a biomedical relational graph.</p> <p>Results</p> <p>We constructed a graph whose nodes were gene or disease pages, and edges were the hyperlink connections between those pages in the Online Mendelian Inheritance in Man (OMIM) database. We obtained over 20,000 sets of related genes (called 'gene modules') by enumerating cliques computationally. The modules included genes in the same family, genes for proteins that form a complex, and genes for components of the same signaling pathway. The results of experiments using 'metabolic syndrome'-related gene modules show that the gene modules can be used to get a coherent holistic picture helpful for interpreting relations among genes.</p> <p>Conclusion</p> <p>We presented a data mining approach extracting related genes by enumerating cliques. The extracted gene sets provide a holistic picture useful for comprehending complex disease mechanisms.</p

Role of the IRS-1 and/or -2 in the pathogenesis of insulin resistance in Dahl salt-sensitive (S) rats

Insulin resistance is a common finding in hypertensive humans and animal models. The Dahl salt-sensitive (S) rat is an ideal model of genetically predetermined insulin resistance and salt-sensitive hypertension. Along the insulin signaling pathway, the insulin receptor substrates 1 and 2 (IRS-1 and -2) are important mediators of insulin signaling. IRS-1 and/or IRS-2 genetic variant(s) and/or enhanced serine phosphorylation correlate with insulin resistance. The present commentary was designed to highlight the significance of IRS-1 and/or -2 in the pathogenesis of insulin resistance. An emphasis will be given to the putative role of IRS-1 and/or -2 genetic variant(s) and serine phosphorylation in precipitating insulin resistance