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Ivanka Dacheva, Christoph Ullmer, Karolina Ceglowska, Everson Nogoceke, Katarzyna Nowomiejska, Stephan Müller, Guido Hartmann, Gonzalo Durán-Pacheco, Florian Kretz, Gerd U. Auffarth, Michael Koss; Lysophosphatidic Acids and Autotaxin in Retinal Vein Occlusion. Invest. Ophthalmol. Vis. Sci. 2016;57(12):5354.
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© ARVO (1962-2015); The Authors (2016-present)
Lysophosphatidic acids (LPAs) are bioactive lipids with proinflammatory and angiogenic properties. Therefore, they may play a role in inflammatory and proliferative retinal diseases.The aim of this retrospective case series was to analyze the levels of LPAs and their biosynthetic enzyme - autotaxin (ATX), in undiluted vitreous of untreated patients with retinal vein occlusion (RVO).
Sixty-four vitreous samples (40 RVO, 24 controls with idiopathic floaters) were analyzed using liquid chromatography - mass spectrometry (LC/MS) for LPAs 16:0, 18:0, 18:1, 20:4, and ELISA kits or Luminex technology for ATX, angiopoetin-1 (ANG-1), interleukin-6 (IL-6), interleukin-7 (IL-7), interleukin-8 (IL-8), monocyte chemoattractant protein-1 (MCP-1), pigment epithelium-derived factor (PEDF), vascular endothelial growth factor (VEGF). LPA and ATX levels were correlated with the best corrected visual acuity (BCVA), central macular thickness (CMT), average retinal thickness (AvT), vitreal cytokine levels and with each other.
Levels of every LPA species tested and ATX were significantly increased in the vitreous fluid from all patients with RVO (total LPAs: 968.0±842.3 nM) compared to controls (total LPAs: 225.2±292.8 nM, p<.0001). Vitreal ATX levels were higher in RVO patients (2.5±1.02 nM) compared to controls as well (1.9±1.0 nM; p=.005). There were strong positive correlations between the vitreal levels of IL-6, IL-8, MCP-1, VEGF and LPAs and no correlations between LPAs or ATX with ANG-1 and PEDF.
Levels of LPAs and ATX were positively correlated with proinflammatory cytokines and VEGF and might thus play an important role in the development of macular edema secondary to RVO.
This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.
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