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  4. The Molecular Bases of Anti-Oxidative and Anti-Inflammatory Properties of Paraoxonase 1
 
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The Molecular Bases of Anti-Oxidative and Anti-Inflammatory Properties of Paraoxonase 1

Type
Journal article
Language
English
Date issued
2024
Author
Jakubowski, Hieronim 
Faculty
Wydział Rolnictwa, Ogrodnictwa i Biotechnologii
Journal
Antioxidants
ISSN
2076-3921
DOI
10.3390/antiox13111292
Web address
https://www.mdpi.com/2076-3921/13/11/1292
Volume
13
Number
11
Pages from-to
art. 1292
Abstract (EN)
The anti-oxidative and anti-inflammatory properties of high-density lipoprotein (HDL) are thought to be mediated by paraoxonase 1 (PON1), a calcium-dependent hydrolytic enzyme carried on a subfraction of HDL that also carries other anti-oxidative and anti-inflammatory proteins. In humans and mice, low PON1 activity is associated with elevated oxidized lipids and homocysteine (Hcy)-thiolactone, as well as proteins that are modified by these metabolites, which can cause oxidative stress and inflammation. PON1-dependent metabolic changes can lead to atherothrombotic cardiovascular disease, Alzheimer’s disease, and cancer. The molecular bases underlying these associations are not fully understood. Biochemical, proteomic, and metabolic studies have significantly expanded our understanding of the mechanisms by which low PON1 leads to disease and high PON1 is protective. The studies discussed in this review highlight the changes in gene expression affecting proteostasis as a cause of the pro-oxidative and pro-inflammatory phenotypes associated with attenuated PON1 activity. Accumulating evidence supports the conclusion that PON1 regulates the expression of anti-oxidative and anti-inflammatory proteins, and that the disruption of these processes leads to disease.
Keywords (EN)
  • PON1 physiological substrates

  • homocysteine thiolactone

  • 5-(3′

  • 4′-dihydroxyphenyl)-γ- valerolac...

  • PON1 proteomics

  • anti-oxidant proteins

  • anti-inflammatory proteins

  • cardiovascular disease

  • Alzheimer’s disease

  • cancer

License
cc-bycc-by CC-BY - Attribution
Open access date
October 25, 2024
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