Metabolic Changes in Brain Slices over Time: a Multiplatform Metabolomics Approach

被引:9
|
作者
Gonzalez-Riano, Carolina [1 ]
Tapia-Gonzalez, Silvia [2 ,3 ,4 ]
Perea, Gertrudis [3 ]
Gonzalez-Arias, Candela [3 ]
DeFelipe, Javier [2 ,3 ,4 ]
Barbas, Coral [1 ]
机构
[1] Univ San Pablo CEU, CEU Univ, Fac Farm, Ctr Metabolom & Bioanal CEMBIO, Boadilla Del Monte 28660, Spain
[2] Univ Politecn Madrid, Lab Cajal Circuitos Cort CTB, Madrid, Spain
[3] Inst Cajal CSIC, Ave Doctor Arce 37, Madrid 28002, Spain
[4] ISCIII, Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain
关键词
Metabolomics; Brain slice; Stability; Mass-spectrometry; Electrophysiology; Lipidomics; POLYUNSATURATED FATTY-ACIDS; ARACHIDONIC-ACID; GLUTAMATE; ASTROCYTES; ENERGETICS; STABILITY; NEURONS; LACTATE; QUALITY; GLUCOSE;
D O I
10.1007/s12035-020-02264-y
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Brain slice preparations are widely used for research in neuroscience. However, a high-quality preparation is essential and there is no consensus regarding stable parameters that can be used to define the status of the brain slice preparation after its collection at different time points. Thus, it is critical to fully characterize the experimental conditions for ex vivo studies using brain slices for electrophysiological recording. In this study, we used a multiplatform (LC-MS and GC-MS) untargeted metabolomics-based approach to shed light on the metabolome and lipidome changes taking place at different time intervals during the brain slice preparation process. We have found significant modifications in the levels of 300 compounds, including several lipid classes and their derivatives, as well as metabolites involved in the GABAergic pathway and the TCA cycle. All these preparation-dependent changes in the brain biochemistry related to the time interval should be taken into consideration for future studies to facilitate non-biased interpretations of the experimental results.
引用
收藏
页码:3224 / 3237
页数:14
相关论文
共 50 条
  • [41] Changes in discourse structure over time following traumatic brain injury
    Lindsey, Andre
    Mozeiko, Jennifer
    Krueger, Frank
    Grafman, Jordan
    Coelho, Carl
    NEUROPSYCHOLOGIA, 2018, 119 : 308 - 319
  • [42] Changes in metabolic overweight phenotypes over time and risk of nephrolithiasis: a cohort study
    Cheng, Yang
    Zheng, Hui
    Yin, Hongli
    Yin, Donghua
    Wang, Hui
    Wang, Ying
    Tang, Qiang
    Gu, Shouyong
    BMC PUBLIC HEALTH, 2024, 24 (01)
  • [43] Metabolomics Reveals Broad Scale Metabolic Changes in Gestational Diabetes
    Liu, Yu
    Kuang, Alan
    Bain, James R.
    George, Tabitha
    Ilkayeva, Olga
    Mincey, Adam
    Muehlbauer, Michael
    Lowe, Lynn P.
    Metzger, Boyd E.
    Newgard, Christopher B.
    Scholtens, Denise
    Lowe, William, Jr.
    DIABETES, 2020, 69
  • [44] Metabolomics: a new tool for the investigation of metabolic changes induced by cytomegalovirus
    Locci, Emanuela
    Noto, Antonio
    Lanari, Marcello
    Lazzarotto, Tiziana
    Fanos, Vassilios
    Atzori, Luigi
    JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 2013, 26 : 17 - 19
  • [45] Global Metabolomics Reveals Metabolic Changes in Heart at Birth.
    Walejko, Jacquelyn
    Antolic, Andrew
    Keller-Wood, Maureen
    Edison, Arthur
    REPRODUCTIVE SCIENCES, 2016, 23 : 142A - 142A
  • [46] Unraveling the Metabolic Changes in Acute Pancreatitis: A Metabolomics-Based Approach for Etiological Differentiation and Acute Biomarker Discovery
    Dancu, Greta
    Tarta, Cristi
    Socaciu, Carmen
    Bende, Felix
    Danila, Mirela
    Sirli, Roxana
    Sporea, Ioan
    Miutescu, Bogdan
    Popescu, Alina
    BIOMOLECULES, 2023, 13 (10)
  • [47] Identification of key metabolic changes during liver fibrosis progression in rats using a urine and serum metabolomics approach
    Hong Chang
    Hong-yu Meng
    Shu-min Liu
    Yu Wang
    Xiao-xu Yang
    Fang Lu
    Hong-yu Wang
    Scientific Reports, 7
  • [48] Identification of key metabolic changes during liver fibrosis progression in rats using a urine and serum metabolomics approach
    Chang, Hong
    Meng, Hong-yu
    Liu, Shu-min
    Wang, Yu
    Yang, Xiao-xu
    Lu, Fang
    Wang, Hong-yu
    SCIENTIFIC REPORTS, 2017, 7
  • [49] Non-Targeted Metabolomics Approach Revealed Significant Changes in Metabolic Pathways in Patients with Chronic Traumatic Encephalopathy
    Lee, Jinkyung
    Kim, Suhyun
    Kim, Yoon Hwan
    Park, Uiyeol
    Lee, Junghee
    McKee, Ann C.
    Kim, Kyoung Heon
    Ryu, Hoon
    Lee, Jeongae
    BIOMEDICINES, 2022, 10 (07)
  • [50] Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time
    Hajra, Shjoy Ghosh
    Liu, Careesa C.
    Song, Xiaowei
    Fickling, Shaun
    Liu, Luke E.
    Pawlowski, Gabriela
    Jorgensen, Janelle K.
    Smith, Anysley M.
    Schnaider-Beeri, Michal
    Van Den Broek, Rudi
    Rizzotti, Rowena
    Fisher, Kirk
    D'Arcy, Ryan C. N.
    FRONTIERS IN NEUROSCIENCE, 2016, 10