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Event: 115
Key Event Title
Increase, FA Influx
Short name
Biological Context
Level of Biological Organization |
---|
Cellular |
Cell term
Cell term |
---|
hepatocyte |
Organ term
Key Event Components
Process | Object | Action |
---|---|---|
positive regulation of fatty acid transport | fatty acid | increased |
Key Event Overview
AOPs Including This Key Event
AOP Name | Role of event in AOP | Point of Contact | Author Status | OECD Status |
---|---|---|---|---|
LXR Activation to Liver Steatosis | KeyEvent | Undefined (send email) | Not under active development | |
PXR activation leads to liver steatosis | KeyEvent | John Frisch (send email) | Under development: Not open for comment. Do not cite |
Taxonomic Applicability
Term | Scientific Term | Evidence | Link |
---|---|---|---|
Vertebrates | Vertebrates | High | NCBI |
Life Stages
Life stage | Evidence |
---|---|
Adult | High |
Juvenile | Moderate |
Sex Applicability
Term | Evidence |
---|---|
Unspecific | High |
Key Event Description
Fat influx to the liver is usually increased under condition like obesity. Free fatty acids (FFA) increase in blood leads to an increase of FFA uptake in the liver. Especially the long chain fatty acids (LCFAs) are translocated across the plasma membrane, reassembled to triglycerides and stored in lipid droplets causing hepatic steatosis [1].
CD36 has consistently been shown to be expressed at the plasma membrane and to enhance LCFA uptake upon over-expression [2], [3].
How It Is Measured or Detected
Increases in fatty acid influx are generally measured by increases in triglycerides, fatty acids, cholesterols, and similar compounds in cells. In addition, assessment is generally made for plasma membrane stability and/or gene expression increases with genes associated with influx, to associate the increase in fatty acid compounds with influx rather than other pathways (ex. synthesis).
Concentrations of triglycerides, cholesterols, fatty acids, and related compounds are measured biochemically to assess levels in control versus potentially affected individuals; common techniques include high throughput enzymatic analyses, analytical ultracentrifuging, gradient gel electrophoresis, Nuclear Magnetic Resonance, lipidomics, and other direct assessment techniques (Schaefer et al. 2016; Yang and Han 2016). Analysis is often performed to look at gene expression levels to see which pathway(s) have increased expression levels, to attribute plausibility to changes in influx, eflux, synthesis, and/or breakdown pathways (Nguyen et al. 2008; Mellor et al. 2016, Aguayo-Orozco et al. 2018). Assessment of cellular components including mitochondria and membrane integrity can also be used as evidence of alteration of normal function within cells.
Domain of Applicability
Life Stage: Older individuals are more likely to manifest this key event (adults > juveniles) due to increased opportunity to increase fatty acid influx.
Sex: Applies to both males and females.
Taxonomic: Appears to be present broadly in vertebrates, with most representative studies in mammals (humans, lab mice, lab rats).
References
- ↑ Amacher 2011 - Amacher D.E., The mechanistic basis for the induction of hepatic steatosis by xenobiotics, Expert Opinion on Drug Metabolism and Toxicology, 7 (No 8), 949-965, 2011
- ↑ Baranowski 2008 - Baranowski, Biological role of liver X receptors, Journal of Physiology and Pharmacology, 59 (Suppl 7), 31–55, 2008
- ↑ Su & Abumrad 2009 - Su X., Abumrad N.A., Cellular fatty acid uptake: a pathway under construction. Trends Endocrinol. Metab., 20 (No 2), 72-77, 2009
Aguayo-Orozco, A.A., Bois, F.Y., Brunak, S., and Taboureau, O. 2018. Analysis of Time-Series Gene Expression Data to Explore Mechanisms of Chemical-Induced Hepatic Steatosis Toxicity. Frontiers in Genetics 9(Article 396): 1-15.
Mellor, C.L., Steinmetz, F.P., and Cronin, T.D. 2016. The identification of nuclear receptors associated with hepatic steatosis to develop and extend adverse outcome pathways. Critical Reviews in Toxicology, 46(2): 138-152.
Nguyen, P., Leray, V., Diez, M., Serisier, S., Le Bloc’h, J., Siliart, B., and Dumon, H. 2008. Liver lipid metabolism. Journal of Animal Physiology and Animal Nutrition 92: 272–283.
Schaefer EJ, Tsunoda F, Diffenderfer M, Polisecki, E., Thai, N., and Astalos, B. The Measurement of Lipids, Lipoproteins, Apolipoproteins, Fatty Acids, and Sterols, and Next Generation Sequencing for the Diagnosis and Treatment of Lipid Disorders. [Updated 2016 Mar 29]. In: Feingold KR, Anawalt B, Blackman MR, et al., editors. Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2000-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK355892/
Yang, K. and Han, X. 2016. Lipidomics: Techniques, applications, and outcomes related to biomedical sciences. Trends in Biochemical Sciences 2016 November ; 41(11): 954–969.
NOTE: Italics symbolize edits from John Frisch