Literature DB >> 23054640

Metabolomics: a novel approach to identify potential diagnostic biomarkers and pathogenesis in Alzheimer's disease.

Xu-Hua Xu1, Yue Huang, Gang Wang, Sheng-Di Chen.   

Abstract

Although the pathogenesis of Alzheimer's disease (AD) is still not fully understood, it is acknowledged that intervention should be made at the early stage. Therefore, identifying biomarkers for the clinical diagnosis is critical. Metabolomics, a novel "omics", uses methods based on low-molecular-weight molecules, with high-throughput evaluation of a large number of metabolites that may lead to the identification of new disease-specific biomarkers and the elucidation of pathophysiological mechanisms. This review discusses metabolomics investigations of AD and potential future developments in this field.

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Year:  2012        PMID: 23054640      PMCID: PMC5561924          DOI: 10.1007/s12264-012-1272-0

Source DB:  PubMed          Journal:  Neurosci Bull        ISSN: 1995-8218            Impact factor:   5.203


  46 in total

Review 1.  Urine metabolomics for kidney cancer detection and biomarker discovery.

Authors:  Sheila Ganti; Robert H Weiss
Journal:  Urol Oncol       Date:  2011 Sep-Oct       Impact factor: 3.498

2.  Lipidomics: new tools and applications.

Authors:  Markus R Wenk
Journal:  Cell       Date:  2010-12-10       Impact factor: 41.582

Review 3.  Analytical approaches to metabolomics and applications to systems biology.

Authors:  Jeffrey H Wang; Jaeman Byun; Subramaniam Pennathur
Journal:  Semin Nephrol       Date:  2010-09       Impact factor: 5.299

Review 4.  Two-dimensional J-resolved NMR spectroscopy: review of a key methodology in the metabolomics toolbox.

Authors:  Christian Ludwig; Mark R Viant
Journal:  Phytochem Anal       Date:  2010 Jan-Feb       Impact factor: 3.373

Review 5.  Ultra-performance liquid chromatography coupled to mass spectrometry as a sensitive and powerful technology for metabolomic studies.

Authors:  Xijun Wang; Hui Sun; Aihua Zhang; Ping Wang; Ying Han
Journal:  J Sep Sci       Date:  2011-08-09       Impact factor: 3.645

Review 6.  Alzheimer's disease.

Authors:  Clive Ballard; Serge Gauthier; Anne Corbett; Carol Brayne; Dag Aarsland; Emma Jones
Journal:  Lancet       Date:  2011-03-01       Impact factor: 79.321

Review 7.  Epidemiology of Alzheimer disease.

Authors:  Christiane Reitz; Carol Brayne; Richard Mayeux
Journal:  Nat Rev Neurol       Date:  2011-02-08       Impact factor: 42.937

8.  Serum sphingomyelins and ceramides are early predictors of memory impairment.

Authors:  Michelle M Mielke; Veera Venkata Ratnam Bandaru; Norman J Haughey; Peter V Rabins; Constantine G Lyketsos; Michelle C Carlson
Journal:  Neurobiol Aging       Date:  2008-05-05       Impact factor: 4.673

Review 9.  Identifying and validating biomarkers for Alzheimer's disease.

Authors:  Christian Humpel
Journal:  Trends Biotechnol       Date:  2010-10-23       Impact factor: 19.536

10.  HMDB: the Human Metabolome Database.

Authors:  David S Wishart; Dan Tzur; Craig Knox; Roman Eisner; An Chi Guo; Nelson Young; Dean Cheng; Kevin Jewell; David Arndt; Summit Sawhney; Chris Fung; Lisa Nikolai; Mike Lewis; Marie-Aude Coutouly; Ian Forsythe; Peter Tang; Savita Shrivastava; Kevin Jeroncic; Paul Stothard; Godwin Amegbey; David Block; David D Hau; James Wagner; Jessica Miniaci; Melisa Clements; Mulu Gebremedhin; Natalie Guo; Ying Zhang; Gavin E Duggan; Glen D Macinnis; Alim M Weljie; Reza Dowlatabadi; Fiona Bamforth; Derrick Clive; Russ Greiner; Liang Li; Tom Marrie; Brian D Sykes; Hans J Vogel; Lori Querengesser
Journal:  Nucleic Acids Res       Date:  2007-01       Impact factor: 16.971

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  19 in total

1.  Grey-matter volume as a potential feature for the classification of Alzheimer's disease and mild cognitive impairment: an exploratory study.

Authors:  Yane Guo; Zengqiang Zhang; Bo Zhou; Pan Wang; Hongxiang Yao; Minshao Yuan; Ningyu An; Haitao Dai; Luning Wang; Xi Zhang; Yong Liu
Journal:  Neurosci Bull       Date:  2014-04-23       Impact factor: 5.203

2.  An Exploratory Analysis of Potential New Biomarkers of Cognitive Function.

Authors:  Matthew J Peterson; Sheena Geoghegan; Larry W Lawhorne
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-02-15       Impact factor: 6.053

3.  Reverting Metabolic Dysfunction in Cortex and Cerebellum of APP/PS1 Mice, a Model for Alzheimer's Disease by Pioglitazone, a Peroxisome Proliferator-Activated Receptor Gamma (PPARγ) Agonist.

Authors:  Kai Lun Chang; Ling Rong Wong; Hai Ning Pee; Shili Yang; Paul Chi-Lui Ho
Journal:  Mol Neurobiol       Date:  2019-04-23       Impact factor: 5.590

4.  Association of life course adiposity with risk of incident dementia: a prospective cohort study of 322,336 participants.

Authors:  Yue-Ting Deng; Yu-Zhu Li; Shu-Yi Huang; Ya-Nan Ou; Wei Zhang; Shi-Dong Chen; Ya-Ru Zhang; Liu Yang; Qiang Dong; Jian-Feng Feng; John Suckling; A David Smith; Wei Cheng; Jin-Tai Yu
Journal:  Mol Psychiatry       Date:  2022-05-10       Impact factor: 15.992

Review 5.  Protein-based biomarkers in cerebrospinal fluid and blood for Alzheimer's disease.

Authors:  Yongyao Fu; Deming Zhao; Lifeng Yang
Journal:  J Mol Neurosci       Date:  2014-06-25       Impact factor: 3.444

6.  Blood metabolite markers of cognitive performance and brain function in aging.

Authors:  Brittany N Simpson; Min Kim; Yi-Fang Chuang; Lori Beason-Held; Melissa Kitner-Triolo; Michael Kraut; Seth T Lirette; B Gwen Windham; Michael E Griswold; Cristina Legido-Quigley; Madhav Thambisetty
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-29       Impact factor: 6.200

7.  Altered metabolites in the plasma of autism spectrum disorder: a capillary electrophoresis time-of-flight mass spectroscopy study.

Authors:  Hitoshi Kuwabara; Hidenori Yamasue; Shinsuke Koike; Hideyuki Inoue; Yuki Kawakubo; Miho Kuroda; Yosuke Takano; Norichika Iwashiro; Tatsunobu Natsubori; Yuta Aoki; Yukiko Kano; Kiyoto Kasai
Journal:  PLoS One       Date:  2013-09-18       Impact factor: 3.240

8.  Limited brain metabolism changes differentiate between the progression and clearance of rabies virus.

Authors:  Keith Schutsky; Carla Portocarrero; D Craig Hooper; Bernhard Dietzschold; Milosz Faber
Journal:  PLoS One       Date:  2014-04-24       Impact factor: 3.240

9.  Sources of variability in metabolite measurements from urinary samples.

Authors:  Qian Xiao; Steven C Moore; Simina M Boca; Charles E Matthews; Nathaniel Rothman; Rachael Z Stolzenberg-Solomon; Rashmi Sinha; Amanda J Cross; Joshua N Sampson
Journal:  PLoS One       Date:  2014-05-01       Impact factor: 3.240

Review 10.  Metabolomics in plants and humans: applications in the prevention and diagnosis of diseases.

Authors:  Diego F Gomez-Casati; Maria I Zanor; María V Busi
Journal:  Biomed Res Int       Date:  2013-08-06       Impact factor: 3.411

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