A systems biology analysis of brain microvascular endothelial cell lipotoxicity

被引:13
|
作者
Aung, Hnin H. [1 ]
Tsoukalas, Athanasios [2 ,3 ]
Rutledge, John C. [1 ]
Tagkopoulos, Ilias [2 ,3 ]
机构
[1] Univ Calif Davis, Dept Internal Med, Div Cardiovasc Med, Davis, CA 95616 USA
[2] Univ Calif Davis, UC Davis Genome Ctr, Davis, CA 95616 USA
[3] Univ Calif Davis, Dept Comp Sci, Davis, CA 95616 USA
关键词
Activating transcription factor 3; Microarray; Triglyceride-rich lipoprotein; Blood-brain barrier; ACTIVATING TRANSCRIPTION FACTOR-3; TRIGLYCERIDE-RICH LIPOPROTEINS; BETA-CATENIN; SIGNALING PATHWAYS; HYPERTRIGLYCERIDEMIC SUBJECTS; INFLAMMATORY RESPONSE; MOLECULAR-MECHANISMS; PROBABILISTIC MODEL; FUNCTIONAL-ANALYSIS; GENE-EXPRESSION;
D O I
10.1186/1752-0509-8-80
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Neurovascular inflammation is associated with a number of neurological diseases including vascular dementia and Alzheimer's disease, which are increasingly important causes of morbidity and mortality around the world. Lipotoxicity is a metabolic disorder that results from accumulation of lipids, particularly fatty acids, in non-adipose tissue leading to cellular dysfunction, lipid droplet formation, and cell death. Results: Our studies indicate for the first time that the neurovascular circulation also can manifest lipotoxicity, which could have major effects on cognitive function. The penetration of integrative systems biology approaches is limited in this area of research, which reduces our capacity to gain an objective insight into the signal transduction and regulation dynamics at a systems level. To address this question, we treated human microvascular endothelial cells with triglyceride-rich lipoprotein (TGRL) lipolysis products and then we used genome-wide transcriptional profiling to obtain transcript abundances over four conditions. We then identified regulatory genes and their targets that have been differentially expressed through analysis of the datasets with various statistical methods. We created a functional gene network by exploiting co-expression observations through a guilt-by-association assumption. Concomitantly, we used various network inference algorithms to identify putative regulatory interactions and we integrated all predictions to construct a consensus gene regulatory network that is TGRL lipolysis product specific. Conclusion: System biology analysis has led to the validation of putative lipid-related targets and the discovery of several genes that may be implicated in lipotoxic-related brain microvascular endothelial cell responses. Here, we report that activating transcription factors 3 (ATF3) is a principal regulator of TGRL lipolysis products-induced gene expression in human brain microvascular endothelial cell.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Single cell protein analysis for systems biology
    Levy, Ezra
    Slavov, Nikolai
    SYSTEMS BIOLOGY, 2018, 62 (04): : 595 - 605
  • [42] Endothelial cell biology and pathology
    Dejana, E.
    Simionescu, M.
    Wolburg, H.
    CELL AND TISSUE RESEARCH, 2009, 335 (01) : 1 - 3
  • [43] Endothelial cell biology and pathology
    E. Dejana
    M. Simionescu
    H. Wolburg
    Cell and Tissue Research, 2009, 335 : 1 - 3
  • [44] Quantitative analysis of microvascular alterations in traumatic brain injury by endothelial barrier antigen immunohistochemistry
    Lin, B
    Ginsberg, MD
    Zhao, WH
    Alonso, OF
    Belayev, L
    Busto, R
    JOURNAL OF NEUROTRAUMA, 2001, 18 (04) : 389 - 397
  • [45] Acanthamoeba interactions with human brain microvascular endothelial cells
    Alsam, S
    Kim, KS
    Stins, M
    Rivas, AO
    Sissons, J
    Khan, NA
    MICROBIAL PATHOGENESIS, 2003, 35 (06) : 235 - 241
  • [46] Isolation of Primary Murine Brain Microvascular Endothelial Cells
    Ruck, Tobias
    Bittner, Stefan
    Epping, Lisa
    Herrmann, Alexander M.
    Meuth, Sven G.
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2014, (93):
  • [47] Effects of Fullerenols on Mouse Brain Microvascular Endothelial Cells
    Schuhmann, Michael K.
    Fluri, Felix
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2017, 18 (08)
  • [48] Transcriptome analysis reveals microvascular endothelial cell-dependent pericyte differentiation
    Brandt, Maarten M.
    van Dijk, Christian G. M.
    Maringanti, Ranganath
    Chrifi, Ihsan
    Kramann, Rafael
    Verhaar, Marianne C.
    Duncker, Dirk J.
    Mokry, Michal
    Cheng, Caroline
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [49] Induced pluripotent stem cell-derived cells model brain microvascular endothelial cell glucose metabolism
    Callie M. Weber
    Bilal Moiz
    Sophia M. Zic
    Viviana Alpízar Vargas
    Andrew Li
    Alisa Morss Clyne
    Fluids and Barriers of the CNS, 19
  • [50] Transcriptome analysis reveals microvascular endothelial cell-dependent pericyte differentiation
    Maarten M. Brandt
    Christian G. M. van Dijk
    Ranganath Maringanti
    Ihsan Chrifi
    Rafael Kramann
    Marianne C. Verhaar
    Dirk J. Duncker
    Michal Mokry
    Caroline Cheng
    Scientific Reports, 9