Literature DB >> 28148918

Mixing omics: combining genetics and metabolomics to study rheumatic diseases.

Cristina Menni1, Jonas Zierer1,2, Ana M Valdes1,3, Tim D Spector1.   

Abstract

Metabolomics is an exciting field in systems biology that provides a direct readout of the biochemical activities taking place within an individual at a particular point in time. Metabolite levels are influenced by many factors, including disease status, environment, medications, diet and, importantly, genetics. Thanks to their dynamic nature, metabolites are useful for diagnosis and prognosis, as well as for predicting and monitoring the efficacy of treatments. At the same time, the strong links between an individual's metabolic and genetic profiles enable the investigation of pathways that underlie changes in metabolite levels. Thus, for the field of metabolomics to yield its full potential, researchers need to take into account the genetic factors underlying the production of metabolites, and the potential role of these metabolites in disease processes. In this Review, the methodological aspects related to metabolomic profiling and any potential links between metabolomics and the genetics of some of the most common rheumatic diseases are described. Links between metabolomics, genetics and emerging fields such as the gut microbiome and proteomics are also discussed.

Entities:  

Mesh:

Year:  2017        PMID: 28148918     DOI: 10.1038/nrrheum.2017.5

Source DB:  PubMed          Journal:  Nat Rev Rheumatol        ISSN: 1759-4790            Impact factor:   20.543


  81 in total

Review 1.  Applications of NMR spectroscopy to systems biochemistry.

Authors:  Teresa W-M Fan; Andrew N Lane
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2016-02-06       Impact factor: 9.795

2.  Statistical analysis and modeling of mass spectrometry-based metabolomics data.

Authors:  Bowei Xi; Haiwei Gu; Hamid Baniasadi; Daniel Raftery
Journal:  Methods Mol Biol       Date:  2014

3.  Human genetics shape the gut microbiome.

Authors:  Julia K Goodrich; Jillian L Waters; Angela C Poole; Jessica L Sutter; Omry Koren; Ran Blekhman; Michelle Beaumont; William Van Treuren; Rob Knight; Jordana T Bell; Timothy D Spector; Andrew G Clark; Ruth E Ley
Journal:  Cell       Date:  2014-11-06       Impact factor: 41.582

Review 4.  Comorbidities in rheumatoid arthritis.

Authors:  Kaleb Michaud; Frederick Wolfe
Journal:  Best Pract Res Clin Rheumatol       Date:  2007-10       Impact factor: 4.098

5.  Metabolomic analysis of human plasma reveals that arginine is depleted in knee osteoarthritis patients.

Authors:  W Zhang; G Sun; S Likhodii; M Liu; E Aref-Eshghi; P E Harper; G Martin; A Furey; R Green; E Randell; P Rahman; G Zhai
Journal:  Osteoarthritis Cartilage       Date:  2015-12-18       Impact factor: 6.576

Review 6.  Quantitative serum nuclear magnetic resonance metabolomics in cardiovascular epidemiology and genetics.

Authors:  Pasi Soininen; Antti J Kangas; Peter Würtz; Teemu Suna; Mika Ala-Korpela
Journal:  Circ Cardiovasc Genet       Date:  2015-02

7.  From genomics to chemical genomics: new developments in KEGG.

Authors:  Minoru Kanehisa; Susumu Goto; Masahiro Hattori; Kiyoko F Aoki-Kinoshita; Masumi Itoh; Shuichi Kawashima; Toshiaki Katayama; Michihiro Araki; Mika Hirakawa
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

8.  LC-MS metabolomics of psoriasis patients reveals disease severity-dependent increases in circulating amino acids that are ameliorated by anti-TNFα treatment.

Authors:  Muhammad Anas Kamleh; Stuart G Snowden; Dmitry Grapov; Gavin J Blackburn; David G Watson; Ning Xu; Mona Ståhle; Craig E Wheelock
Journal:  J Proteome Res       Date:  2014-11-12       Impact factor: 4.466

9.  Association of systemic lupus erythematosus with decreased immunosuppressive potential of the IgG glycome.

Authors:  Frano Vučković; Jasminka Krištić; Ivan Gudelj; Maria Teruel; Toma Keser; Marija Pezer; Maja Pučić-Baković; Jerko Štambuk; Irena Trbojević-Akmačić; Clara Barrios; Tamara Pavić; Cristina Menni; Youxin Wang; Yong Zhou; Liufu Cui; Haicheng Song; Qiang Zeng; Xiuhua Guo; Bernardo A Pons-Estel; Paul McKeigue; Alan Leslie Patrick; Olga Gornik; Tim D Spector; Miroslav Harjaček; Marta Alarcon-Riquelme; Mariam Molokhia; Wei Wang; Gordan Lauc
Journal:  Arthritis Rheumatol       Date:  2015-11       Impact factor: 10.995

10.  ¹H-NMR-Based Metabolomic Study for Identifying Serum Profiles Associated with the Response to Etanercept in Patients with Rheumatoid Arthritis.

Authors:  Roberta Priori; Luca Casadei; Mariacristina Valerio; Rossana Scrivo; Guido Valesini; Cesare Manetti
Journal:  PLoS One       Date:  2015-11-11       Impact factor: 3.240

View more
  18 in total

Review 1.  Expression and Metabolomic Profiling in Axial Spondyloarthritis.

Authors:  Darren D O'Rielly; Guangju Zhai; Proton Rahman
Journal:  Curr Rheumatol Rep       Date:  2018-06-27       Impact factor: 4.592

2.  Serum metabolites associate with lipid phenotypes among Bogalusa Heart Study participants.

Authors:  Xiaoying Gu; Changwei Li; Jiang He; Shengxu Li; Lydia A Bazzano; Jason M Kinchen; Wei Chen; Hua He; Dongfeng Gu; Tanika N Kelly
Journal:  Nutr Metab Cardiovasc Dis       Date:  2020-01-21       Impact factor: 4.222

Review 3.  Genetic and environmental risk factors for rheumatoid arthritis.

Authors:  Kevin D Deane; M Kristen Demoruelle; Lindsay B Kelmenson; Kristine A Kuhn; Jill M Norris; V Michael Holers
Journal:  Best Pract Res Clin Rheumatol       Date:  2017-09-18       Impact factor: 4.098

Review 4.  Metabolomics of osteoarthritis: emerging novel markers and their potential clinical utility.

Authors:  Guangju Zhai; Edward W Randell; Proton Rahman
Journal:  Rheumatology (Oxford)       Date:  2018-12-01       Impact factor: 7.580

5.  Multi-functional derivatization of amine, hydroxyl, and carboxylate groups for metabolomic investigations of human tissue by electrospray ionization mass spectrometry.

Authors:  Tianjiao Huang; Maria Toro; Richard Lee; Dawn S Hui; James L Edwards
Journal:  Analyst       Date:  2018-06-19       Impact factor: 4.616

6.  Effects of long-term exercise and a high-fat diet on synovial fluid metabolomics and joint structural phenotypes in mice: an integrated network analysis.

Authors:  A K Hahn; A Batushansky; R A Rawle; E B Prado Lopes; R K June; T M Griffin
Journal:  Osteoarthritis Cartilage       Date:  2021-08-28       Impact factor: 6.576

Review 7.  Excess comorbidities in gout: the causal paradigm and pleiotropic approaches to care.

Authors:  Hyon K Choi; Natalie McCormick; Chio Yokose
Journal:  Nat Rev Rheumatol       Date:  2021-12-17       Impact factor: 32.286

8.  DDR: efficient computational method to predict drug-target interactions using graph mining and machine learning approaches.

Authors:  Rawan S Olayan; Haitham Ashoor; Vladimir B Bajic
Journal:  Bioinformatics       Date:  2018-04-01       Impact factor: 6.937

9.  Metabolomics of Early Stage Plant Cell-Microbe Interaction Using Stable Isotope Labeling.

Authors:  Qiuying Pang; Tong Zhang; Yang Wang; Wenwen Kong; Qijie Guan; Xiufeng Yan; Sixue Chen
Journal:  Front Plant Sci       Date:  2018-06-05       Impact factor: 5.753

10.  An untargeted metabolomics study of blood pressure: findings from the Bogalusa Heart Study.

Authors:  William J He; Changwei Li; Xuenan Mi; Mengyao Shi; Xiaoying Gu; Lydia A Bazzano; Alexander C Razavi; Jovia L Nierenberg; Kirsten Dorans; Hua He; Tanika N Kelly
Journal:  J Hypertens       Date:  2020-07       Impact factor: 4.844

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.