Coordinated phosphorylation of insulin receptor substrate-1 by glycogen synthase kinase-3 and protein kinase C betaII in the diabetic fat tissue

Serine/threonine phosphorylation of insulin receptor substrate-1 (IRS-1) is an important negative modulator of insulin signaling. Previously, we showed that glycogen synthase kinase-3 (GSK-3) phosphorylates IRS-1 at Ser(332). However, the fact that GSK-3 requires prephosphorylation of its substrates suggested that Ser(336) on IRS-1 was the "priming" site phosphorylated by an as yet unknown protein kinase. Here, we sought to identify this "priming kinase" and to examine the phosphorylation of IRS-1 at Ser(336) and Ser(332) in physiologically relevant animal models. Of several stimulators, only the PKC activator phorbol ester PMA enhanced IRS-1 phosphorylation at Ser(336). Treatment with selective PKC inhibitors prevented this PMA effect and suggested that a conventional PKC was the priming kinase. Overexpression of PKCalpha or PKCbetaII isoforms in cells enhanced IRS-1 phosphorylation at Ser(336) and Ser(332), and in vitro kinase assays verified that these two kinases directly phosphorylated IRS-1 at Ser(336). The expression level and activation state of PKCbetaII, but not PKCalpha, were remarkably elevated in the fat tissues of diabetic ob/ob mice and in high-fat diet-fed mice compared with that from lean animals. Elevated levels of PKCbetaII were also associated with enhanced phosphorylation of IRS-1 at Ser(336/332) and elevated activity of GSK-3beta. Finally, adenoviral mediated expression of PKCbetaII in adipocytes enhancedphosphorylation of IRS-1 at Ser(336). Taken together, our results suggest that IRS-1 is sequentially phosphorylated by PKCbetaII and GSK-3 at Ser(336) and Ser(332). Furthermore, these data provide evidence for the physiological relevance of these phosphorylation events in the pathogenesis of insulin resistance in fat tissue.     

Design, synthesis, and evaluation of peptides with estrogen-like activity

Currently used antiestrogenic drugs against hormone-dependent breast cancer, and estrogenic drugs used in treatment of osteoporosis, are associated with risk factors. Therefore, there is a strong need to develop selective estrogen receptor modulators with better tissue selectivity. In a recent study (Peptides, 2002, Vol. 3, 573-580), we used a monoclonal antibody to estradiol (mAb-E2) to screen a phage-display peptide library. We identified a 15-mer peptide (peptide H5) that recognizes mAb-E2 (IC(50) 1 microM) and estrogen receptor (ER)alpha (IC(50) 500 microM) but not ERbeta, and displays estrogen-like activity in vitro and in vivo. In this study, we designed and prepared peptides based on peptide H5, which possess improved estrogenic activity, by evaluating their binding to mAb-E2 and to ERs. Initially, we determined the minimal binding sequence of peptide H5 capable of binding mAb-E2 and ER. Subsequently, systematic single-residue replacements of the minimal sequence, followed by multiple-residue replacements, yielded hexa- and heptapeptides with increased affinities to mAb-E2 and to ER. The most promising peptides, VSWFFE (EMP-1) and VSWFFED (EMP-2) (EMP: estrogen-mimetic peptide), bind mAb-E2 with high affinity (IC(50) of 6 and 30 nM, respectively), recognize ERs with increased affinity (IC(50) of 100 microM for ERalpha, and 100-250 microM for ERbeta), and possess estrogenic activity in vivo. The short peptides described in this study may be used as potential lead compounds for developing new ER ligands.     

In situ tissue classification during laser ablation using acoustic signals

We suggest a novel method to classify the type of tissue that is being ablated, using the recorded acoustic sound waves during pulsed ultraviolet laser ablation. The motivation of the current research is tissue classification during vascular interventions, where the identification of the ablated tissue is vital. We classify the acoustic signatures using Mel‐frequency cepstral coefficients (MFCCs) feature extraction with a Support Vector Machine (SVM) algorithm, and in addition, use a fully connected deep neural network (FC‐DNN) algorithm. First, we classify three different liquids using our method as a preliminary proof of concept. Then, we classify ex vivo porcine aorta and bovine tendon tissues in the presence of saline. Finally, we classify ex vivo porcine aorta and bovine tendon tissues where the acoustic signals are recorded through chicken breast medium. The results for tissue classification in saline and through chicken breast both show high accuracy (>98%), based on tens of thousands of acoustic signals for each experiment. The experiments were conducted in a noisy and challenging setting that tries to imitate practical working conditions. The obtained results could pave the way towards practical tissue classification in various important medical procedures, achieving enhanced efficacy and safety.     

Mosaic Epigenetic Dysregulation of Ectodermal Cells in Autism Spectrum Disorder

DNA mutational events are increasingly being identified in autism spectrum disorder (ASD), but the potential additional role of dysregulation of the epigenome in the pathogenesis of the condition remains unclear. The epigenome is of interest as a possible mediator of environmental effects during development, encoding a cellular memory reflected by altered function of progeny cells. Advanced maternal age (AMA) is associated with an increased risk of having a child with ASD for reasons that are not understood. To explore whether AMA involves covert aneuploidy or epigenetic dysregulation leading to ASD in the offspring, we tested a homogeneous ectodermal cell type from 47 individuals with ASD compared with 48 typically developing (TD) controls born to mothers of ≥35 years, using a quantitative genome-wide DNA methylation assay. We show that DNA methylation patterns are dysregulated in ectodermal cells in these individuals, having accounted for confounding effects due to subject age, sex and ancestral haplotype. We did not find mosaic aneuploidy or copy number variability to occur at differentially-methylated regions in these subjects. Of note, the loci with distinctive DNA methylation were found at genes expressed in the brain and encoding protein products significantly enriched for interactions with those produced by known ASD-causing genes, representing a perturbation by epigenomic dysregulation of the same networks compromised by DNA mutational mechanisms. The results indicate the presence of a mosaic subpopulation of epigenetically-dysregulated, ectodermally-derived cells in subjects with ASD. The epigenetic dysregulation observed in these ASD subjects born to older mothers may be associated with aging parental gametes, environmental influences during embryogenesis or could be the consequence of mutations of the chromatin regulatory genes increasingly implicated in ASD. The results indicate that epigenetic dysregulatory mechanisms may complement and interact with DNA mutations in the pathogenesis of the disorder.     

Spatiotemporal Organization of Ras Signaling: Rasosomes and the Galectin Switch

Summary 1. Ras signaling and oncogenesis depend on the dynamic interplay of Ras with distinctive plasma membrane (PM) microdomains and various intracellular compartments. Such interaction is dictated by individual elements in the carboxy-terminal domain of the Ras proteins, including a farnesyl isoprenoid group, sequences in the hypervariable region (hvr)-linker, and palmitoyl groups in H/N-Ras isoforms.2. The farnesyl group acts as a specific recognition unit that interacts with prenyl-binding pockets in galectin-1 (Gal-1), galectin-3 (Gal-3), and cGMP phosphodiesterase δ. This interaction appears to contribute to the prolongation of Ras signals in the PM, the determination of Ras effector usage, and perhaps also the transport of cytoplasmic Ras. Gal-1 promotes H-Ras signaling to Raf at the expense of phosphoinositide 3-kinase (PI3-K) and Ral guanine nucleotide exchange factor (RalGEF), while galectin-3 promotes K-Ras signaling to both Raf and PI3-K.3. The hvr-linker and the palmitates of H-Ras and N-Ras determine the micro- and macro-localizations of these proteins in the PM and in the Golgi, as well as in ‘rasosomes’, randomly moving nanoparticles that carry palmitoylated Ras proteins and their signal through the cytoplasm.4. The dynamic compartmentalization of Ras proteins contributes to the spatial organization of Ras signaling, promotes redistribution of Ras, and provides an additional level of selectivity to the signal output of this regulatory GTPase.     

Responsiveness to phytoestrogens in primary human osteoblasts is modulated differentially by a "less-calcemic" analog of 1,25 dihydroxyvitamin D(3): JK 1624F(2)-2 (JKF)

We have reported previously, that female-derived bone cells responded to 17beta-estradiol (E(2)) and raloxifene (Ral), and male-derived cells responded only to dihydrotestosterone (DHT) when the stimulation of creatine kinase specific activity (CK), which is a marker for hormone responsiveness, was measured. We also found that pre-treatment with the less-calcemic analog of Vitamin D, JK 1624 F(2)-2 (JKF), upregulated the response of CK to E(2) and Ral. In this study, we analyzed the response of human bone cells from pre- and post-menopausal females and males, to phytoestrogens. Bone cells derived from pre-menopausal women showed greater stimulation of CK than cells from post-menopausal women, after treatment with E(2) (30 nM), daidzein (D, 3000 nM), genistein (G, 3000 nM) and Ral (3000 nM); whereas the responses to biochainin A (BA 3000 nM), quecertin (Qu 3000 nM) or the carboxy derivative of G (cG 300 nM) were not age-dependent. Male-derived cells did not respond to phytoestrogens. When cells derived from female bones at both age groups were pre-treated with JKF, by daily addition of 1nM, for 3 days, there was an upregulation of the response to E(2), Ral, G and D but not to BA or Qu. Nuclear binding of (3)[H] E(2) was characteristic of the different phytoestrogens, with increase of the specific binding after pre-treatment with JKF. In contrast, the membranal binding of E(2)-Ov-Eu, which was specific for the estrogenic compounds except Ral, was inhibited by pre-treatment with JKF except for ICI 161480 (ICI). Male bone cells did not bind E(2)-Ov-Eu but bound T-BSA-Eu; this binding was abolished by pre-treatment with JKF. Pre-treatment with JKF increased mRNA for ERalpha and decreased mRNA for ERbeta in bone cells from both age groups of females and from males, all of which expressed both ERs, with a ratio of ERalpha to ERbeta of 121:1 in pre- and 78:1 in post-menopausal and 105:1 in male bone cells. This study raises the possibility of combined Vitamin D analog and phytoestrogen for hormonal replacement therapy to prevent post-menopausal osteoporosis, which is a subject of ongoing research in animal models.     

Artificial neural nets: dependence of the EEG amplitude's probability distribution on statistical parameters

The statistical laws governing the output of a population of unitary generators are not explicit with regard to the effect of population size and properties of the individual generators on the summed activity. Experimental work was therefore undertaken with artificial nerve nets, the activity of which simulates with a high degree of realism individual nerve cells and the electroencephalogram. It was found that the summed activity is not affected by the statistical properties of single generators even in nets of only 200-1000 elements. On the other hand, the output of the net is highly sensitive to the level of connectivity between individual generators. When connectivity is low, the summed output is distributed in normal (Gaussian) fashion. The output of the net becomes less and less Gaussian with increase in coupling between the generators.