Literature DB >> 25230597

Using direct infusion mass spectrometry for serum metabolomics in Alzheimer's disease.

R González-Domínguez1, T García-Barrera, J L Gómez-Ariza.   

Abstract

Currently, there is no cure for Alzheimer's disease and early diagnosis is very difficult, since no biomarkers have been established with the necessary reliability and specificity. For the discovery of new biomarkers, the application of omics is emerging, especially metabolomics based on the use of mass spectrometry. In this work, an analytical approach based on direct infusion electrospray mass spectrometry was applied for the first time to blood serum samples in order to elucidate discriminant metabolites. Complementary methodologies of extraction and mass spectrometry analysis were employed for comprehensive metabolic fingerprinting. Finally, the application of multivariate statistical tools allowed us to discriminate Alzheimer patients and healthy controls, and identify some compounds as potential markers of disease. This approach provided a global vision of disease, given that some important metabolic pathways could be studied, such as membrane destabilization processes, oxidative stress, hypometabolism, or neurotransmission alterations. Most remarkable results are the high levels of phospholipids containing saturated fatty acids, respectively, polyunsaturated ones and the high concentration of whole free fatty acids in Alzheimer's serum samples. Thus, these results represent an interesting approximation to understand the pathogenesis of disease and the identification of potential biomarkers.

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Year:  2014        PMID: 25230597     DOI: 10.1007/s00216-014-8102-3

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  16 in total

1.  Antiphospholipid autoantibodies as blood biomarkers for detection of early stage Alzheimer's disease.

Authors:  John A McIntyre; Curtis J Ramsey; Bruce D Gitter; Andrew J Saykin; Dawn R Wagenknecht; Paul A Hyslop
Journal:  Autoimmunity       Date:  2015-02-12       Impact factor: 2.815

Review 2.  Neurodegenerative Disorders of Alzheimer, Parkinsonism, Amyotrophic Lateral Sclerosis and Multiple Sclerosis: An Early Diagnostic Approach for Precision Treatment.

Authors:  Nishit Pathak; Sunil Kumar Vimal; Ishi Tandon; Lokesh Agrawal; Cao Hongyi; Sanjib Bhattacharyya
Journal:  Metab Brain Dis       Date:  2021-11-01       Impact factor: 3.584

3.  Characterization of brain-derived extracellular vesicle lipids in Alzheimer's disease.

Authors:  Huaqi Su; Yepy H Rustam; Colin L Masters; Enes Makalic; Catriona A McLean; Andrew F Hill; Kevin J Barnham; Gavin E Reid; Laura J Vella
Journal:  J Extracell Vesicles       Date:  2021-05-11

4.  Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia.

Authors:  Gaetano Corso; Adriana Cristofano; Nadia Sapere; Giancarlo la Marca; Antonella Angiolillo; Michela Vitale; Roberto Fratangelo; Teresa Lombardi; Carola Porcile; Mariano Intrieri; Alfonso Di Costanzo
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2017-05-04

Review 5.  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

6.  Carbon Nanohorn Suprastructures on a Paper Support as a Sorptive Phase.

Authors:  Julia Ríos-Gómez; Beatriz Fresco-Cala; María Teresa García-Valverde; Rafael Lucena; Soledad Cárdenas
Journal:  Molecules       Date:  2018-05-24       Impact factor: 4.411

7.  Comparative Evaluation of MS-based Metabolomics Software and Its Application to Preclinical Alzheimer's Disease.

Authors:  Ling Hao; Jingxin Wang; David Page; Sanjay Asthana; Henrik Zetterberg; Cynthia Carlsson; Ozioma C Okonkwo; Lingjun Li
Journal:  Sci Rep       Date:  2018-06-18       Impact factor: 4.379

8.  Plasma 24-metabolite Panel Predicts Preclinical Transition to Clinical Stages of Alzheimer's Disease.

Authors:  Massimo S Fiandaca; Xiaogang Zhong; Amrita K Cheema; Michael H Orquiza; Swathi Chidambaram; Ming T Tan; Carole Roan Gresenz; Kevin T FitzGerald; Mike A Nalls; Andrew B Singleton; Mark Mapstone; Howard J Federoff
Journal:  Front Neurol       Date:  2015-11-12       Impact factor: 4.003

9.  Medium-chain Fatty Acids as Biomarkers of Mitochondrial Dysfunction in Traumatic Brain Injury.

Authors:  Raúl González-Domínguez
Journal:  EBioMedicine       Date:  2016-09-28       Impact factor: 8.143

Review 10.  A Metabolomics Approach to Pharmacotherapy Personalization.

Authors:  Elena E Balashova; Dmitry L Maslov; Petr G Lokhov
Journal:  J Pers Med       Date:  2018-09-05
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