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Author

Yasuhiko Kizuka

Bio: Yasuhiko Kizuka is an academic researcher from Gifu University. The author has contributed to research in topics: Glycan & Glycosylation. The author has an hindex of 23, co-authored 84 publications receiving 1615 citations. Previous affiliations of Yasuhiko Kizuka include Max Planck Society & Johns Hopkins University School of Medicine.
Topics: Glycan, Glycosylation, Medicine, Glycoprotein, Fucose


Papers
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Book ChapterDOI
TL;DR: In this paper, a review of glycan structures, their biosynthetic glycosyltransferases, and their genes in relation to their biological significance and involvement in cancer, especially cancer biomarkers, epithelial-mesenchymal transition, cancer progression and metastasis, and therapeutics.
Abstract: Glycosylation is catalyzed by various glycosyltransferase enzymes which are mostly located in the Golgi apparatus in cells. These enzymes glycosylate various complex carbohydrates such as glycoproteins, glycolipids, and proteoglycans. The enzyme activity of glycosyltransferases and their gene expression are altered in various pathophysiological situations including cancer. Furthermore, the activity of glycosyltransferases is controlled by various factors such as the levels of nucleotide sugars, acceptor substrates, nucleotide sugar transporters, chaperons, and endogenous lectin in cancer cells. The glycosylation results in various functional changes of glycoproteins including cell surface receptors and adhesion molecules such as E-cadherin and integrins. These changes confer the unique characteristic phenotypes associated with cancer cells. Therefore, glycans play key roles in cancer progression and treatment. This review focuses on glycan structures, their biosynthetic glycosyltransferases, and their genes in relation to their biological significance and involvement in cancer, especially cancer biomarkers, epithelial-mesenchymal transition, cancer progression and metastasis, and therapeutics. Major N-glycan branching structures which are directly related to cancer are β1,6-GlcNAc branching, bisecting GlcNAc, and core fucose. These structures are enzymatic products of glycosyltransferases, GnT-V, GnT-III, and Fut8, respectively. The genes encoding these enzymes are designated as MGAT5 (Mgat5), MGAT3 (Mgat3), and FUT8 (Fut8) in humans (mice in parenthesis), respectively. GnT-V is highly associated with cancer metastasis, whereas GnT-III is associated with cancer suppression. Fut8 is involved in expression of cancer biomarker as well as in the treatment of cancer. In addition to these enzymes, GnT-IV and GnT-IX (GnT-Vb) will be also discussed in relation to cancer.

269 citations

Journal ArticleDOI
TL;DR: Analysis of knockout mice lacking the biosynthetic enzyme for bisecting GlcNAc, GnT‐III (Mgat3), revealed that cleavage of Aβ‐precursor protein (APP) by BACE1 is reduced in these mice, resulting in a decrease in Aβ plaques and improved cognitive function.
Abstract: The β-site amyloid precursor protein cleaving enzyme-1 (BACE1), an essential protease for the generation of amyloid-β (Aβ) peptide, is a major drug target for Alzheimer's disease (AD). However, there is a concern that inhibiting BACE1 could also affect several physiological functions. Here, we show that BACE1 is modified with bisecting N-acetylglucosamine (GlcNAc), a sugar modification highly expressed in brain, and demonstrate that AD patients have higher levels of bisecting GlcNAc on BACE1. Analysis of knockout mice lacking the biosynthetic enzyme for bisecting GlcNAc, GnT-III (Mgat3), revealed that cleavage of Aβ-precursor protein (APP) by BACE1 is reduced in these mice, resulting in a decrease in Aβ plaques and improved cognitive function. The lack of this modification directs BACE1 to late endosomes/lysosomes where it is less colocalized with APP, leading to accelerated lysosomal degradation. Notably, other BACE1 substrates, CHL1 and contactin-2, are normally cleaved in GnT-III-deficient mice, suggesting that the effect of bisecting GlcNAc on BACE1 is selective to APP. Considering that GnT-III-deficient mice remain healthy, GnT-III may be a novel and promising drug target for AD therapeutics.

142 citations

Journal ArticleDOI
28 Apr 2016
TL;DR: This review focuses on the GlcNAc and fucose branches of N-glycans and describes how their expression is dysregulated in cancer by genetic and nongenetic mechanisms including epigenetics and nucleotide sugar metabolisms.
Abstract: N-glycan, a fundamental and versatile protein modification in mammals, plays critical roles in various physiological and pathological events including cancer progression. The formation of N-glycan branches catalyzed by specific N-acetylglucosaminyltransferases [GnT-III, GnT-IVs, GnT-V, GnT-IX (Vb)] and a fucosyltransferase, Fut8, provides functionally diverse N-glycosylated proteins. Aberrations of these branches are often found in cancer cells and are profoundly involved in cancer growth, invasion and metastasis. In this review, we focus on the GlcNAc and fucose branches of N-glycans and describe how their expression is dysregulated in cancer by genetic and nongenetic mechanisms including epigenetics and nucleotide sugar metabolisms. We also survey the roles that these N-glycans play in cancer progression and therapeutics. Finally, we discuss possible applications of our knowledge on basic glycobiology to the development of medicine and biomarkers for cancer therapy.

101 citations

Journal ArticleDOI
TL;DR: The roles of N-glycans in AD pathogenesis and progression are summarized, particularly focusing on key AD-related molecules, including amyloid precursor protein, α-, β-, and γ-secretases, and tau.

93 citations

Journal ArticleDOI
TL;DR: This review focuses on the roles of glycosyltransferases that are involved in the modification of N-glycans and their target proteins such as epidermal growth factor receptor (EGFR), ErbB3, transforming growth factor β (TGF-β) receptor, T-cell receptors, β-site APP cleaving enzyme, and α5β1 integrin in relation to diseases and epithelial-mesenchymal transition (EMT) process.

60 citations


Cited by
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Journal ArticleDOI
TL;DR: This work focuses on ROS at physiological levels and their central role in redox signalling via different post-translational modifications, denoted as ‘oxidative eustress’.
Abstract: 'Reactive oxygen species' (ROS) is an umbrella term for an array of derivatives of molecular oxygen that occur as a normal attribute of aerobic life. Elevated formation of the different ROS leads to molecular damage, denoted as 'oxidative distress'. Here we focus on ROS at physiological levels and their central role in redox signalling via different post-translational modifications, denoted as 'oxidative eustress'. Two species, hydrogen peroxide (H2O2) and the superoxide anion radical (O2·-), are key redox signalling agents generated under the control of growth factors and cytokines by more than 40 enzymes, prominently including NADPH oxidases and the mitochondrial electron transport chain. At the low physiological levels in the nanomolar range, H2O2 is the major agent signalling through specific protein targets, which engage in metabolic regulation and stress responses to support cellular adaptation to a changing environment and stress. In addition, several other reactive species are involved in redox signalling, for instance nitric oxide, hydrogen sulfide and oxidized lipids. Recent methodological advances permit the assessment of molecular interactions of specific ROS molecules with specific targets in redox signalling pathways. Accordingly, major advances have occurred in understanding the role of these oxidants in physiology and disease, including the nervous, cardiovascular and immune systems, skeletal muscle and metabolic regulation as well as ageing and cancer. In the past, unspecific elimination of ROS by use of low molecular mass antioxidant compounds was not successful in counteracting disease initiation and progression in clinical trials. However, controlling specific ROS-mediated signalling pathways by selective targeting offers a perspective for a future of more refined redox medicine. This includes enzymatic defence systems such as those controlled by the stress-response transcription factors NRF2 and nuclear factor-κB, the role of trace elements such as selenium, the use of redox drugs and the modulation of environmental factors collectively known as the exposome (for example, nutrition, lifestyle and irradiation).

1,809 citations

Journal ArticleDOI
James J. Lee1, Robbee Wedow2, Aysu Okbay3, Edward Kong4, Omeed Maghzian4, Meghan Zacher4, Tuan Anh Nguyen-Viet5, Peter Bowers4, Julia Sidorenko6, Julia Sidorenko7, Richard Karlsson Linnér8, Richard Karlsson Linnér3, Mark Alan Fontana9, Mark Alan Fontana5, Tushar Kundu5, Chanwook Lee4, Hui Li4, Ruoxi Li5, Rebecca Royer5, Pascal Timshel10, Pascal Timshel11, Raymond K. Walters12, Raymond K. Walters4, Emily A. Willoughby1, Loic Yengo7, Maris Alver6, Yanchun Bao13, David W. Clark14, Felix R. Day15, Nicholas A. Furlotte, Peter K. Joshi14, Peter K. Joshi16, Kathryn E. Kemper7, Aaron Kleinman, Claudia Langenberg15, Reedik Mägi6, Joey W. Trampush5, Shefali S. Verma17, Yang Wu7, Max Lam, Jing Hua Zhao15, Zhili Zheng18, Zhili Zheng7, Jason D. Boardman2, Harry Campbell14, Jeremy Freese19, Kathleen Mullan Harris20, Caroline Hayward14, Pamela Herd13, Pamela Herd21, Meena Kumari13, Todd Lencz22, Todd Lencz23, Jian'an Luan15, Anil K. Malhotra23, Anil K. Malhotra22, Andres Metspalu6, Lili Milani6, Ken K. Ong15, John R. B. Perry15, David J. Porteous14, Marylyn D. Ritchie17, Melissa C. Smart14, Blair H. Smith24, Joyce Y. Tung, Nicholas J. Wareham15, James F. Wilson14, Jonathan P. Beauchamp25, Dalton Conley26, Tõnu Esko6, Steven F. Lehrer27, Steven F. Lehrer28, Steven F. Lehrer29, Patrik K. E. Magnusson30, Sven Oskarsson31, Tune H. Pers10, Tune H. Pers11, Matthew R. Robinson7, Matthew R. Robinson32, Kevin Thom33, Chelsea Watson5, Christopher F. Chabris17, Michelle N. Meyer17, David Laibson4, Jian Yang7, Magnus Johannesson34, Philipp Koellinger8, Philipp Koellinger3, Patrick Turley4, Patrick Turley12, Peter M. Visscher7, Daniel J. Benjamin27, Daniel J. Benjamin5, David Cesarini33, David Cesarini27 
TL;DR: A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance ineducational attainment and 7–10% ofthe variance in cognitive performance, which substantially increases the utility ofpolygenic scores as tools in research.
Abstract: Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11-13% of the variance in educational attainment and 7-10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.

1,658 citations

Journal ArticleDOI
Anubha Mahajan1, Daniel Taliun2, Matthias Thurner1, Neil R. Robertson1, Jason M. Torres1, N. William Rayner1, N. William Rayner3, Anthony Payne1, Valgerdur Steinthorsdottir4, Robert A. Scott5, Niels Grarup6, James P. Cook7, Ellen M. Schmidt2, Matthias Wuttke8, Chloé Sarnowski9, Reedik Mägi10, Jana Nano11, Christian Gieger, Stella Trompet12, Cécile Lecoeur13, Michael Preuss14, Bram P. Prins3, Xiuqing Guo15, Lawrence F. Bielak2, Jennifer E. Below16, Donald W. Bowden17, John C. Chambers, Young-Jin Kim, Maggie C.Y. Ng17, Lauren E. Petty16, Xueling Sim18, Weihua Zhang19, Weihua Zhang20, Amanda J. Bennett1, Jette Bork-Jensen6, Chad M. Brummett2, Mickaël Canouil13, Kai-Uwe Ec Kardt21, Krista Fischer10, Sharon L.R. Kardia2, Florian Kronenberg22, Kristi Läll10, Ching-Ti Liu9, Adam E. Locke23, Jian'an Luan5, Ioanna Ntalla24, Vibe Nylander1, Sebastian Schönherr22, Claudia Schurmann14, Loic Yengo13, Erwin P. Bottinger14, Ivan Brandslund25, Cramer Christensen, George Dedoussis26, Jose C. Florez, Ian Ford27, Oscar H. Franco11, Timothy M. Frayling28, Vilmantas Giedraitis29, Sophie Hackinger3, Andrew T. Hattersley28, Christian Herder30, M. Arfan Ikram11, Martin Ingelsson29, Marit E. Jørgensen25, Marit E. Jørgensen31, Torben Jørgensen32, Torben Jørgensen6, Jennifer Kriebel, Johanna Kuusisto33, Symen Ligthart11, Cecilia M. Lindgren1, Cecilia M. Lindgren34, Allan Linneberg6, Allan Linneberg35, Valeriya Lyssenko36, Valeriya Lyssenko37, Vasiliki Mamakou26, Thomas Meitinger38, Karen L. Mohlke39, Andrew D. Morris40, Andrew D. Morris41, Girish N. Nadkarni14, James S. Pankow42, Annette Peters, Naveed Sattar43, Alena Stančáková33, Konstantin Strauch44, Kent D. Taylor15, Barbara Thorand, Gudmar Thorleifsson4, Unnur Thorsteinsdottir4, Unnur Thorsteinsdottir45, Jaakko Tuomilehto, Daniel R. Witte46, Josée Dupuis9, Patricia A. Peyser2, Eleftheria Zeggini3, Ruth J. F. Loos14, Philippe Froguel19, Philippe Froguel13, Erik Ingelsson47, Erik Ingelsson48, Lars Lind29, Leif Groop49, Leif Groop37, Markku Laakso33, Francis S. Collins50, J. Wouter Jukema12, Colin N. A. Palmer51, Harald Grallert, Andres Metspalu10, Abbas Dehghan19, Abbas Dehghan11, Anna Köttgen8, Gonçalo R. Abecasis2, James B. Meigs52, Jerome I. Rotter15, Jonathan Marchini1, Oluf Pedersen6, Torben Hansen6, Torben Hansen25, Claudia Langenberg5, Nicholas J. Wareham5, Kari Stefansson45, Kari Stefansson4, Anna L. Gloyn1, Andrew P. Morris7, Andrew P. Morris10, Andrew P. Morris1, Michael Boehnke2, Mark I. McCarthy1 
TL;DR: Combining 32 genome-wide association studies with high-density imputation provides a comprehensive view of the genetic contribution to type 2 diabetes in individuals of European ancestry with respect to locus discovery, causal-variant resolution, and mechanistic insight.
Abstract: We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we (i) extend the inventory of T2D-risk variants (243 loci, 135 newly implicated in T2D predisposition, comprising 403 distinct association signals); (ii) enrich discovery of lower-frequency risk alleles (80 index variants with minor allele frequency 2); (iii) substantially improve fine-mapping of causal variants (at 51 signals, one variant accounted for >80% posterior probability of association (PPA)); (iv) extend fine-mapping through integration of tissue-specific epigenomic information (islet regulatory annotations extend the number of variants with PPA >80% to 73); (v) highlight validated therapeutic targets (18 genes with associations attributable to coding variants); and (vi) demonstrate enhanced potential for clinical translation (genome-wide chip heritability explains 18% of T2D risk; individuals in the extremes of a T2D polygenic risk score differ more than ninefold in prevalence).

1,136 citations

Journal ArticleDOI
19 Mar 2020-Cell
TL;DR: The mechanisms and consequences of TLR-mediated signal transduction are described with a focus on themes identified in the TLR pathways that also explain the operation of other immune signaling pathways.

867 citations

01 Jan 2013
TL;DR: The outcomes of CAD surgical treatment were improved in this group of patients due to the implementation of a mul-assisted revascularization of coronary and non-coronary arteries.
Abstract: Results. The incidence rate of significant non-cardiac occlusive stenotic lesions in patients with coronary artery disease (CAD), who had to undergo CABG, was 15,84 %. Simultaneous revascularization of coronary and non-coronary arteries was performed in 2,46 % of patients with CAD and PolyVD and multi-stage surgical proced ures were chosen in other cases. Conclusions. The outcomes of CAD surgical treatment were improved in this group of patients due to the implementation of a mul-

506 citations