Understanding the Impact of Polyunsaturated Fatty Acids on Age-Related Macular Degeneration: A Review

Int J Mol Sci. 2024 Apr 7;25(7):4099. doi: 10.3390/ijms25074099.

Abstract

Age-related Macular Degeneration (AMD) is a multifactorial ocular pathology that destroys the photoreceptors of the macula. Two forms are distinguished, dry and wet AMD, with different pathophysiological mechanisms. Although treatments were shown to be effective in wet AMD, they remain a heavy burden for patients and caregivers, resulting in a lack of patient compliance. For dry AMD, no real effective treatment is available in Europe. It is, therefore, essential to look for new approaches. Recently, the use of long-chain and very long-chain polyunsaturated fatty acids was identified as an interesting new therapeutic alternative. Indeed, the levels of these fatty acids, core components of photoreceptors, are significantly decreased in AMD patients. To better understand this pathology and to evaluate the efficacy of various molecules, in vitro and in vivo models reproducing the mechanisms of both types of AMD were developed. This article reviews the anatomy and the physiological aging of the retina and summarizes the clinical aspects, pathophysiological mechanisms of AMD and potential treatment strategies. In vitro and in vivo models of AMD are also presented. Finally, this manuscript focuses on the application of omega-3 fatty acids for the prevention and treatment of both types of AMD.

Keywords: AMD in vitro models; AMD in vivo models; age-related macular degeneration (AMD); omega-3 fatty acids; photoreceptors; polyunsaturated fatty acids (PUFA); retina.

Publication types

  • Review

MeSH terms

  • Fatty Acids
  • Fatty Acids, Omega-3* / therapeutic use
  • Fatty Acids, Unsaturated / therapeutic use
  • Geographic Atrophy*
  • Humans
  • Wet Macular Degeneration*

Substances

  • Fatty Acids, Unsaturated
  • Fatty Acids
  • Fatty Acids, Omega-3

Grants and funding

Part of this research was within the scope of a Ph.D. thesis funded by the Association Nationale de la Recherche et de la Technologie (ANRT), CIFRE grant No. 2022/0219. The APC was funded by the University of Geneva.