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Untargeted Lipidomic Profiling of Aged Human Retina With and Without Age-Related Macular Degeneration (AMD)

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Retinal Degenerative Diseases XIX

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1415))

Abstract

The molecular characterization of extracellular deposits is crucial to understanding the clinical progression of AMD. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis is a powerful analytical discovery tool capable of identifying lipids in an untargeted manner. NanoLC-MS/MS is an analytical tool capable of identifying lipids with high sensitivity and minimum sample usage. Hence, the purpose of this study was to compare retina lipid identification from RPE-choroid samples using high flow LC-MS/MS and nanoLC-MS/MS. Manually dissected paraformaldehyde-fixed human donor tissues sections were used for LC-MS/MS and nanoLC-MS/MS analysis. Lipids were extracted with MeOH/MTBE/CHCl3 (MMC) and were analyzed by LC-MS/MS and nanoLC-MS/MS using negative and positive ionization modes. Untargeted lipidomics using LC-MS/MS identified 215 lipids from 4 lipid classes and 15 subclasses. We observed a 78% increase in lipid identifications using nanoLC-MS/MS with lipid numbers totaling 384. The nanoLC-MS/MS method is expected to provide extensive lipid identifications from small retina samples, e.g., from drusen and drusenoid deposits in aged and AMD eyes, and could help elucidate how lipids are involved in extracellular deposit formation in AMD.

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Acknowledgments

The authors acknowledge the financial support from NIH grants R01EY027948 (CAC), P41 GM103391, S10 OD023514 (KLS), Heidelberg Engineering, (UAB institutional support), Research to Prevent Blindness (CAC & KLS), and EyeSight Foundation of Alabama.

Financial Disclosures

(CAC) research funding from Heidelberg Engineering and Hoffman La Roche

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Authors and Affiliations

  1. Department of Biochemistry, Vanderbilt University, Nashville, TN, USA

    Ankita Kotnala, David M. G. Anderson & Kevin L. Schey

  2. Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, AL, USA

    Ankita Kotnala, Jeffrey D. Messinger & Christine A. Curcio

Authors
  1. Ankita Kotnala
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  2. David M. G. Anderson
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  3. Jeffrey D. Messinger
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  4. Christine A. Curcio
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  5. Kevin L. Schey
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Corresponding author

Correspondence to Kevin L. Schey .

Editor information

Editors and Affiliations

  1. Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA

    John D. Ash

  2. Ocular Genomics InstituteDepartment of OphthalmologyMassachusetts Eye and Ear InfirmaryHarvard Medical School, Boston, MA, USA

    Eric Pierce

  3. Health Sciences Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA

    Robert E. Anderson

  4. Department of Ophthalmology, Duke Medical Center, Durham, NC, USA

    Catherine Bowes Rickman

  5. Department of Ophthalmology, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA

    Joe G. Hollyfield

  6. Laboratory for Retinal Cell BiologyDepartment of OphthalmologyUniversity Hospital Zurich, University of Zurich, Schlieren, Switzerland

    Christian Grimm

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Kotnala, A., Anderson, D.M.G., Messinger, J.D., Curcio, C.A., Schey, K.L. (2023). Untargeted Lipidomic Profiling of Aged Human Retina With and Without Age-Related Macular Degeneration (AMD). In: Ash, J.D., Pierce, E., Anderson, R.E., Bowes Rickman, C., Hollyfield, J.G., Grimm, C. (eds) Retinal Degenerative Diseases XIX. Advances in Experimental Medicine and Biology, vol 1415. Springer, Cham. https://doi.org/10.1007/978-3-031-27681-1_6

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