Literature DB >> 28301062

Metabolomic-guided discovery of Alzheimer's disease biomarkers from body fluid.

Che Nor Adlia Enche Ady1,2, Siong Meng Lim1,2, Lay Kek Teh3, Mohd Zaki Salleh3, Ai-Vyrn Chin4, Maw Pin Tan4, Philip Jun Hua Poi4, Shahrul Bahyah Kamaruzzaman4, Abu Bakar Abdul Majeed1,5, Kalavathy Ramasamy1,2.   

Abstract

The rapid increase in the older population has made age-related diseases like Alzheimer's disease (AD) a global concern. Given that there is still no cure for this neurodegenerative disease, the drastic growth in the number of susceptible individuals represents a major emerging threat to public health. The poor understanding of the mechanisms underlying AD is deemed the greatest stumbling block against progress in definitive diagnosis and management of this disease. There is a dire need for biomarkers that can facilitate early diagnosis, classification, prognosis, and treatment response. Efforts have been directed toward discovery of reliable and distinctive AD biomarkers but with very little success. With the recent emergence of high-throughput technology that is able to collect and catalogue vast datasets of small metabolites, metabolomics offers hope for a better understanding of AD and subsequent identification of biomarkers. This review article highlights the potential of using multiple metabolomics platforms as useful means in uncovering AD biomarkers from body fluids.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  Alzheimer's disease; biomarker; dementia; metabolites; metabolomics; multiplatforms

Mesh:

Substances:

Year:  2017        PMID: 28301062     DOI: 10.1002/jnr.24048

Source DB:  PubMed          Journal:  J Neurosci Res        ISSN: 0360-4012            Impact factor:   4.164


  13 in total

1.  Integrated analysis of genomics, longitudinal metabolomics, and Alzheimer's risk factors among 1,111 cohort participants.

Authors:  Burcu F Darst; Qiongshi Lu; Sterling C Johnson; Corinne D Engelman
Journal:  Genet Epidemiol       Date:  2019-05-18       Impact factor: 2.135

2.  Comparison of Microflow and Analytical Flow Liquid Chromatography Coupled to Mass Spectrometry Global Metabolomics Methods Using a Urea Cycle Disorder Mouse Model.

Authors:  Sarah Geller; Harvey Lieberman; Adam J Belanger; Nelson S Yew; Alla Kloss; Alexander R Ivanov
Journal:  J Proteome Res       Date:  2021-11-29       Impact factor: 4.466

3.  Metabolites Associated with Early Cognitive Changes Implicated in Alzheimer's Disease.

Authors:  Burcu F Darst; Zhiguang Huo; Erin M Jonaitis; Rebecca L Koscik; Lindsay R Clark; Qiongshi Lu; William S Kremen; Carol E Franz; Brinda Rana; Michael J Lyons; Kirk J Hogan; Jinying Zhao; Sterling C Johnson; Corinne D Engelman
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

4.  Mendelian randomization identifies blood metabolites previously linked to midlife cognition as causal candidates in Alzheimer's disease.

Authors:  Jodie Lord; Bradley Jermy; Rebecca Green; Andrew Wong; Jin Xu; Cristina Legido-Quigley; Richard Dobson; Marcus Richards; Petroula Proitsi
Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-20       Impact factor: 11.205

Review 5.  Utility of Animal Models to Understand Human Alzheimer's Disease, Using the Mastermind Research Approach to Avoid Unnecessary Further Sacrifices of Animals.

Authors:  Tian Qin; Samantha Prins; Geert Jan Groeneveld; Gerard Van Westen; Helga E de Vries; Yin Cheong Wong; Luc J M Bischoff; Elizabeth C M de Lange
Journal:  Int J Mol Sci       Date:  2020-04-30       Impact factor: 5.923

Review 6.  High-Throughput Direct Mass Spectrometry-Based Metabolomics to Characterize Metabolite Fingerprints Associated with Alzheimer's Disease Pathogenesis.

Authors:  Raúl González-Domínguez; Ana Sayago; Ángeles Fernández-Recamales
Journal:  Metabolites       Date:  2018-09-18

7.  Longitudinal plasma metabolomics of aging and sex.

Authors:  Burcu F Darst; Rebecca L Koscik; Kirk J Hogan; Sterling C Johnson; Corinne D Engelman
Journal:  Aging (Albany NY)       Date:  2019-02-24       Impact factor: 5.682

8.  Metabolomics and Biomarkers for Drug Discovery.

Authors:  Pollen K Yeung
Journal:  Metabolites       Date:  2018-01-31

9.  Alzheimer's Biomarkers From Multiple Modalities Selectively Discriminate Clinical Status: Relative Importance of Salivary Metabolomics Panels, Genetic, Lifestyle, Cognitive, Functional Health and Demographic Risk Markers.

Authors:  Shraddha Sapkota; Tao Huan; Tran Tran; Jiamin Zheng; Richard Camicioli; Liang Li; Roger A Dixon
Journal:  Front Aging Neurosci       Date:  2018-10-02       Impact factor: 5.750

10.  Reduction of Glycolysis Intermediate Concentrations in the Cerebrospinal Fluid of Alzheimer's Disease Patients.

Authors:  Nick Bergau; Stephan Maul; Dan Rujescu; Andreas Simm; Alexander Navarrete Santos
Journal:  Front Neurosci       Date:  2019-08-21       Impact factor: 4.677

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