Literature DB >> 27451335

Metabolomics studies in brain tissue: A review.

Carolina Gonzalez-Riano1, Antonia Garcia2, Coral Barbas1.   

Abstract

Brain is still an organ with a composition to be discovered but beyond that, mental disorders and especially all diseases that curse with dementia are devastating for the patient, the family and the society. Metabolomics can offer an alternative tool for unveiling new insights in the discovery of new treatments and biomarkers of mental disorders. Until now, most of metabolomic studies have been based on biofluids: serum/plasma or urine, because brain tissue accessibility is limited to animal models or post mortem studies, but even so it is crucial for understanding the pathological processes. Metabolomics studies of brain tissue imply several challenges due to sample extraction, along with brain heterogeneity, sample storage, and sample treatment for a wide coverage of metabolites with a wide range of concentrations of many lipophilic and some polar compounds. In this review, the current analytical practices for target and non-targeted metabolomics are described and discussed with emphasis on critical aspects: sample treatment (quenching, homogenization, filtration, centrifugation and extraction), analytical methods, as well as findings considering the used strategies. Besides that, the altered analytes in the different brain regions have been associated with their corresponding pathways to obtain a global overview of their dysregulation, trying to establish the link between altered biological pathways and pathophysiological conditions.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alzheimer’s disease; Brain; Fingerprinting; LC–MS; Metabolomics; NMR

Mesh:

Year:  2016        PMID: 27451335     DOI: 10.1016/j.jpba.2016.07.008

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  22 in total

1.  Oxidative stress contributes to cerebral metabolomic profile changes in animal model of blast-induced traumatic brain injury.

Authors:  Poonam Rana; Kakulavarapu V Rama Rao; Arunreddy Ravula; Richa Trivedi; Maria D'Souza; Ajay K Singh; Raj K Gupta; Namas Chandra
Journal:  Metabolomics       Date:  2020-03-12       Impact factor: 4.290

2.  The gut microbiota affects the social network of honeybees.

Authors:  Joanito Liberti; Tomas Kay; Andrew Quinn; Lucie Kesner; Erik T Frank; Amélie Cabirol; Thomas O Richardson; Philipp Engel; Laurent Keller
Journal:  Nat Ecol Evol       Date:  2022-08-22       Impact factor: 19.100

3.  Regional Metabolic Patterns of Abnormal Postoperative Behavioral Performance in Aged Mice Assessed by 1H-NMR Dynamic Mapping Method.

Authors:  Taotao Liu; Zhengqian Li; Jindan He; Ning Yang; Dengyang Han; Yue Li; Xuebi Tian; Huili Liu; Anne Manyande; Hongbing Xiang; Fuqiang Xu; Jie Wang; Xiangyang Guo
Journal:  Neurosci Bull       Date:  2019-08-02       Impact factor: 5.203

4.  Identification of altered brain metabolites associated with TNAP activity in a mouse model of hypophosphatasia using untargeted NMR-based metabolomics analysis.

Authors:  Thomas Cruz; Marie Gleizes; Stéphane Balayssac; Etienne Mornet; Grégory Marsal; José Luis Millán; Myriam Malet-Martino; Lionel G Nowak; Véronique Gilard; Caroline Fonta
Journal:  J Neurochem       Date:  2017-03       Impact factor: 5.372

5.  NMR-based metabolomics characterizes metabolic changes in different brain regions of streptozotocin-induced diabetic mice with cognitive decline.

Authors:  Tingting Zhang; Hong Zheng; Kai Fan; Nengzhi Xia; Jiance Li; Changwei Yang; Hongchang Gao; Yunjun Yang
Journal:  Metab Brain Dis       Date:  2020-07-08       Impact factor: 3.584

6.  Using an NMR metabolomics approach to investigate the pathogenicity of amyloid-beta and alpha-synuclein.

Authors:  M M Phelan; E Caamaño-Gutiérrez; M S Gant; R X Grosman; J Madine
Journal:  Metabolomics       Date:  2017-10-29       Impact factor: 4.290

7.  Metabolic basis of neuronal vulnerability to ischemia; an in vivo untargeted metabolomics approach.

Authors:  Sherif Rashad; Daisuke Saigusa; Takahiro Yamazaki; Yotaro Matsumoto; Yoshihisa Tomioka; Ritsumi Saito; Akira Uruno; Kuniyasu Niizuma; Masayuki Yamamoto; Teiji Tominaga
Journal:  Sci Rep       Date:  2020-04-16       Impact factor: 4.379

8.  Metabolomics of mammalian brain reveals regional differences.

Authors:  William T Choi; Mehmet Tosun; Hyun-Hwan Jeong; Cemal Karakas; Fatih Semerci; Zhandong Liu; Mirjana Maletić-Savatić
Journal:  BMC Syst Biol       Date:  2018-12-21

Review 9.  Glucose metabolic crosstalk and regulation in brain function and diseases.

Authors:  Shuai Zhang; Brittany Bolduc Lachance; Mark P Mattson; Xiaofeng Jia
Journal:  Prog Neurobiol       Date:  2021-06-10       Impact factor: 10.885

10.  Metabolite Profile Changes in Different Regions of Rat Brain Affected by Ephedra sinica.

Authors:  Zhou Liao; Shanshan Li; Yun Huang; Xiaoquan Luo; Youbao Zhong; Yanhua Ji; Dan Su; Zhifu Ai
Journal:  Evid Based Complement Alternat Med       Date:  2020-04-27       Impact factor: 2.629

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