Literature DB >> 35930229

Metabolomics: A Powerful Tool to Understand the Schizophrenia Biology.

Flávia da Silva Zandonadi1, Emerson Andrade Ferreira Dos Santos1, Mariana Silveira Marques1, Alessandra Sussulini2,3.   

Abstract

ABSVTRACT: Schizophrenia, as any other psychiatric disorder, is a multifactorial and complex illness whose etiology is not completely established. Therefore, studies involving strategies that are able to describe the molecular alterations caused by the disease and, consequently, indicate the altered metabolic pathways are of increasing interest. Metabolomics is a very suitable approach that can be applied for this task, since it consists of the evaluation of the set of metabolites contained in a biological system undergoing a biological process, such as a disease or treatment. In metabolomics, state-of-the-art analytical techniques (mass spectrometry and nuclear magnetic resonance) are employed to identify and quantify the metabolites present in the studied biological samples, and chemometric and bioinformatic tools are applied to determine the specific metabolites and metabolic pathways that are relevant to the biological process under investigation. The aim of this chapter is to describe the basic principles of metabolomics, how this strategy can improve the understanding of the schizophrenia biology, and the findings obtained so far.
© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.

Entities:  

Keywords:  Bioinformatics; Chemometrics; Mass spectrometry; Metabolomics; Nuclear magnetic resonance; Schizophrenia

Mesh:

Year:  2022        PMID: 35930229     DOI: 10.1007/978-3-030-97182-3_8

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   3.650


  48 in total

Review 1.  Advances in mass spectrometry applied to pharmaceutical metabolomics.

Authors:  Dieter M Drexler; Michael D Reily; Petia A Shipkova
Journal:  Anal Bioanal Chem       Date:  2010-11-25       Impact factor: 4.142

Review 2.  Database resources in metabolomics: an overview.

Authors:  Eden P Go
Journal:  J Neuroimmune Pharmacol       Date:  2009-05-07       Impact factor: 4.147

Review 3.  NMR-based metabolomics and fluxomics: developments and future prospects.

Authors:  Patrick Giraudeau
Journal:  Analyst       Date:  2020-03-10       Impact factor: 4.616

4.  Understanding the pathophysiological changes via untargeted metabolomics in COVID-19 patients.

Authors:  Halef O Doğan; Onur Şenol; Serkan Bolat; Şeyma N Yıldız; Seyit A Büyüktuna; Rağıp Sarıismailoğlu; Kübra Doğan; Mürşit Hasbek; Süleyman N Hekim
Journal:  J Med Virol       Date:  2020-12-17       Impact factor: 2.327

5.  Validated Method for Strigolactone Quantification by Ultra High-Performance Liquid Chromatography - Electrospray Ionisation Tandem Mass Spectrometry Using Novel Deuterium Labelled Standards.

Authors:  Stéphanie Boutet-Mercey; François Perreau; Amélie Roux; Guillaume Clavé; Jean-Paul Pillot; Isabelle Schmitz-Afonso; David Touboul; Grégory Mouille; Catherine Rameau; François-Didier Boyer
Journal:  Phytochem Anal       Date:  2017-08-29       Impact factor: 3.373

6.  Metabolomic Identification of Exosome-Derived Biomarkers for Schizophrenia: A Large Multicenter Study.

Authors:  Yang Du; Lei Chen; Xue-Song Li; Xiao-Lin Li; Xiang-Dong Xu; Shao-Bin Tai; Geng-Lin Yang; Quan Tang; Hua Liu; Shu-Han Liu; Shu-Yao Zhang; Yong Cheng
Journal:  Schizophr Bull       Date:  2021-04-29       Impact factor: 9.306

Review 7.  Brain exosomes as minuscule information hub for Autism Spectrum Disorder.

Authors:  Deepika Delsa Dean; Sarita Agarwal; Srinivasan Muthuswamy; Ambreen Asim
Journal:  Expert Rev Mol Diagn       Date:  2021-11-25       Impact factor: 5.225

8.  Whole-genome sequencing of 128 camels across Asia reveals origin and migration of domestic Bactrian camels.

Authors:  Liang Ming; Liyun Yuan; Li Yi; Guohui Ding; Surong Hasi; Gangliang Chen; Tuyatsetseg Jambl; Nemat Hedayat-Evright; Mijiddorj Batmunkh; Garyaeva Khongr Badmaevna; Tudeviin Gan-Erdene; Batsukh Ts; Wenbin Zhang; Azhati Zulipikaer; Arkady Natyrov; Prmanshayev Mamay; Gendalai Meng; Choijilsuren Narangerel; Orgodol Khongorzul; Jing He; Le Hai; Weili Lin; Yixue Li; Zhen Wang
Journal:  Commun Biol       Date:  2020-01-07

Review 9.  Measuring the metabolome: current analytical technologies.

Authors:  Warwick B Dunn; Nigel J C Bailey; Helen E Johnson
Journal:  Analyst       Date:  2005-03-04       Impact factor: 4.616

10.  Rapid purification and metabolomic profiling of synaptic vesicles from mammalian brain.

Authors:  Drew R Jones; Michael E Pacold; Lynne Chantranupong; Jessica L Saulnier; Wengang Wang; Bernardo L Sabatini
Journal:  Elife       Date:  2020-10-12       Impact factor: 8.140

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