Literature DB >> 31493220

Effects on Glial Cell Glycolysis in Schizophrenia: An Advanced Aging Phenotype?

Giuliana S Zuccoli1, Paul C Guest1, Daniel Martins-de-Souza2,3,4.   

Abstract

Schizophrenia is a severe and debilitating psychiatric disorder believed to have neurodevelopmental origins. Several studies have associated energy metabolism dysfunction with the disorder, mostly related to glycolysis alterations. Glucose is the obligatory energy substrate of the brain and glycolysis is the first step for its metabolism. This takes place predominantly in glial cells, astrocytes and oligodendrocytes, whereas neurons present a predominant oxidative profile. Thus, glial cells generate either lactate or pyruvate to neurons for ATP production. In addition, some aspects of schizophrenia may reflect an advanced aging phenotype with effects on various neural cell types at different stages of the disease. Given the role of glial cells in brain energy metabolism, the association of glycolysis dysfunction and the accelerated aging of neuronal cells in schizophrenia, studies focusing on those aspects can yield important insights into the causes and implications of the disorder. In turn, this may lead to novel therapeutic strategies for improved treatment of individuals suffering with this disorder.

Entities:  

Keywords:  Aging; Astrocytes; Glycolysis; Oligodendrocytes; Schizophrenia; Teleomeres

Mesh:

Substances:

Year:  2019        PMID: 31493220     DOI: 10.1007/978-3-030-25650-0_2

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  2 in total

1.  Differential Proteomics Analysis of the Subcutaneous Connective Tissues in Alcian Blue Tracks along Conception Vessel and Adjacent Nonmeridian in Rats.

Authors:  Xiaojing Song; Weibo Zhang; Shuyong Jia; Shuyou Wang; Guangjun Wang; Feng Xiong; Hongyan Li
Journal:  Evid Based Complement Alternat Med       Date:  2021-05-04       Impact factor: 2.629

2.  Exerting the Appropriate Application of Methylprednisolone in Acute Spinal Cord Injury Based on Time Course Transcriptomics Analysis.

Authors:  Liang-Yo Yang; Meng-Yu Tsai; Shu-Hui Juan; Shwu-Fen Chang; Chang-Tze Ricky Yu; Jung-Chun Lin; Kory R Johnson; Hendrick Gao-Min Lim; Yang C Fann; Yuan-Chii Gladys Lee
Journal:  Int J Mol Sci       Date:  2021-12-01       Impact factor: 5.923

  2 in total

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