Literature DB >> 26825138

Metabolic syndrome: genetic insights into disease pathogenesis.

Maen D Abou Ziki1, Arya Mani.   

Abstract

PURPOSE OF REVIEW: Metabolic syndrome (MetS) is a cluster of interrelated and heritable metabolic traits, which collectively impart unsurpassed risk for atherosclerotic cardiovascular disease and type 2 diabetes. Considerable work has been done to understand the underlying disease mechanisms by elucidating its genetic cause. RECENT
FINDINGS: Genome-wide association studies have been widely utilized albeit with modest success in identifying variants that are associated with more than two metabolic traits. Another limitation of this approach is the inherent small effect of the common variants, a major barrier for dissecting their cognate pathways. Modest advances in this venue have been also made by genetic studies of kindreds at the extreme ends of quantitative distributions. These efforts have led to the discovery of a number of disease genes with large effects that underlie the association of diverse traits of this syndrome.
SUMMARY: Substantial progress has been made over the last decade in identification of genetic risk factors associated with the various traits of MetS. The heterogeneity and multifactorial heritability of MetS, however, has been a challenge toward understanding the factors underlying the association of these traits. Genetic investigations of outlier kindreds or homogenous populations with high prevalence for the disease can potentially improve our knowledge of the disease pathophysiology.

Entities:  

Mesh:

Year:  2016        PMID: 26825138      PMCID: PMC5141383          DOI: 10.1097/MOL.0000000000000276

Source DB:  PubMed          Journal:  Curr Opin Lipidol        ISSN: 0957-9672            Impact factor:   4.776


  43 in total

1.  Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report.

Authors: 
Journal:  Circulation       Date:  2002-12-17       Impact factor: 29.690

Review 2.  The CardioMetabolic Health Alliance: Working Toward a New Care Model for the Metabolic Syndrome.

Authors:  Laurence S Sperling; Jeffrey I Mechanick; Ian J Neeland; Cynthia J Herrick; Jean-Pierre Després; Chiadi E Ndumele; Krishnaswami Vijayaraghavan; Yehuda Handelsman; Gary A Puckrein; Maria Rosario G Araneta; Quie K Blum; Karen K Collins; Stephen Cook; Nikhil V Dhurandhar; Dave L Dixon; Brent M Egan; Daphne P Ferdinand; Lawrence M Herman; Scott E Hessen; Terry A Jacobson; Russell R Pate; Robert E Ratner; Eliot A Brinton; Alan D Forker; Laura L Ritzenthaler; Scott M Grundy
Journal:  J Am Coll Cardiol       Date:  2015-09-01       Impact factor: 24.094

3.  A genome-wide Drosophila RNAi screen identifies DYRK-family kinases as regulators of NFAT.

Authors:  Yousang Gwack; Sonia Sharma; Julie Nardone; Bogdan Tanasa; Alina Iuga; Sonal Srikanth; Heidi Okamura; Diana Bolton; Stefan Feske; Patrick G Hogan; Anjana Rao
Journal:  Nature       Date:  2006-03-01       Impact factor: 49.962

Review 4.  Healthy obesity.

Authors:  Rachel P Wildman
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2009-07       Impact factor: 4.294

5.  Biallelic mutations at PPARG cause a congenital, generalized lipodystrophy similar to the Berardinelli-Seip syndrome.

Authors:  D A Dyment; W T Gibson; L Huang; H Bassyouni; R A Hegele; A M Innes
Journal:  Eur J Med Genet       Date:  2014-06-28       Impact factor: 2.708

Review 6.  The combined hyperlipidemia caused by impaired Wnt-LRP6 signaling is reversed by Wnt3a rescue.

Authors:  Gwang-Woong Go; Roshni Srivastava; Antonio Hernandez-Ono; Gyoungok Gang; Stephen B Smith; Carmen J Booth; Henry N Ginsberg; Arya Mani
Journal:  Cell Metab       Date:  2014-02-04       Impact factor: 27.287

Review 7.  The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis.

Authors:  Salvatore Mottillo; Kristian B Filion; Jacques Genest; Lawrence Joseph; Louise Pilote; Paul Poirier; Stéphane Rinfret; Ernesto L Schiffrin; Mark J Eisenberg
Journal:  J Am Coll Cardiol       Date:  2010-09-28       Impact factor: 24.094

Review 8.  Prevalence of metabolic syndrome and obesity-associated hypertension in the racial ethnic minorities of the United States.

Authors:  Bonita Falkner; Nicole D F H Cossrow
Journal:  Curr Hypertens Rep       Date:  2014-07       Impact factor: 5.369

9.  FTO Obesity Variant Circuitry and Adipocyte Browning in Humans.

Authors:  Melina Claussnitzer; Simon N Dankel; Kyoung-Han Kim; Gerald Quon; Wouter Meuleman; Christine Haugen; Viktoria Glunk; Isabel S Sousa; Jacqueline L Beaudry; Vijitha Puviindran; Nezar A Abdennur; Jannel Liu; Per-Arne Svensson; Yi-Hsiang Hsu; Daniel J Drucker; Gunnar Mellgren; Chi-Chung Hui; Hans Hauner; Manolis Kellis
Journal:  N Engl J Med       Date:  2015-08-19       Impact factor: 91.245

10.  Minibrain/Dyrk1a regulates food intake through the Sir2-FOXO-sNPF/NPY pathway in Drosophila and mammals.

Authors:  Seung-Hyun Hong; Kyu-Sun Lee; Su-Jin Kwak; Ae-Kyeong Kim; Hua Bai; Min-Su Jung; O-Yu Kwon; Woo-Joo Song; Marc Tatar; Kweon Yu
Journal:  PLoS Genet       Date:  2012-08-02       Impact factor: 5.917

View more
  22 in total

Review 1.  Co-shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome.

Authors:  Teodor T Postolache; Laura Del Bosque-Plata; Serge Jabbour; Michael Vergare; Rongling Wu; Claudia Gragnoli
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2019-02-06       Impact factor: 3.568

Review 2.  Wnt signaling, a novel pathway regulating blood pressure? State of the art review.

Authors:  Maen D Abou Ziki; Arya Mani
Journal:  Atherosclerosis       Date:  2017-05-04       Impact factor: 5.162

Review 3.  Metabolic syndrome and underlying genetic determinants-A systematic review.

Authors:  Sanjeev Rana; Shafat Ali; Hilal Ahmad Wani; Qazi Danish Mushtaq; Swarkar Sharma; Muneeb U Rehman
Journal:  J Diabetes Metab Disord       Date:  2022-03-03

Review 4.  COUP-TFII revisited: Its role in metabolic gene regulation.

Authors:  Usman M Ashraf; Edwin R Sanchez; Sivarajan Kumarasamy
Journal:  Steroids       Date:  2018-11-24       Impact factor: 2.668

Review 5.  The interplay of canonical and noncanonical Wnt signaling in metabolic syndrome.

Authors:  Maen D Abou Ziki; Arya Mani
Journal:  Nutr Res       Date:  2018-07-04       Impact factor: 3.315

Review 6.  The role of metabolic syndrome in sudden cardiac death risk: Recent evidence and future directions.

Authors:  Amedeo Tirandi; Federico Carbone; Fabrizio Montecucco; Luca Liberale
Journal:  Eur J Clin Invest       Date:  2021-11-08       Impact factor: 5.722

7.  Human serum RNase-L level is inversely associated with metabolic syndrome and age.

Authors:  Yi-Ting Wang; Ping-Huei Tseng; Chi-Ling Chen; Der-Sheng Han; Yu-Chiao Chi; Fen-Yu Tseng; Wei-Shiung Yang
Journal:  Cardiovasc Diabetol       Date:  2017-04-11       Impact factor: 9.951

8.  Genome-wide association analysis of metabolic syndrome quantitative traits in the GENNID multiethnic family study.

Authors:  Jia Y Wan; Deborah L Goodman; Emileigh L Willems; Alexis R Freedland; Trina M Norden-Krichmar; Stephanie A Santorico; Karen L Edwards
Journal:  Diabetol Metab Syndr       Date:  2021-06-01       Impact factor: 3.320

9.  Detection of susceptibility loci on APOA5 and COLEC12 associated with metabolic syndrome using a genome-wide association study in a Taiwanese population.

Authors:  Eugene Lin; Po-Hsiu Kuo; Yu-Li Liu; Albert C Yang; Shih-Jen Tsai
Journal:  Oncotarget       Date:  2017-09-16

10.  Identification of three genetic variants as novel susceptibility loci for body mass index in a Japanese population.

Authors:  Yoshiki Yasukochi; Jun Sakuma; Ichiro Takeuchi; Kimihiko Kato; Mitsutoshi Oguri; Tetsuo Fujimaki; Hideki Horibe; Yoshiji Yamada
Journal:  Physiol Genomics       Date:  2018-01-12       Impact factor: 3.107

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.