Plasma biomarkers of the amyloid pathway are associated with geographic atrophy secondary to age-related macular degeneration.

Geographic atrophy (GA) is an advanced form of dry age-related macular degeneration (AMD), in which local inflammation and hyperactivity of the complement pathway have been implicated in its pathophysiology. This study explores whether any surrogate biomarkers are specifically associated with GA. Pl...

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Main Authors: Kameran Lashkari, Gianna C Teague, Ursula Beattie, Joanna Betts, Sanjay Kumar, Megan M McLaughlin, Francisco J López
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0236283
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spelling doaj-673d1765e2364f19b96fd2e983a88cdd2021-03-03T21:58:50ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01158e023628310.1371/journal.pone.0236283Plasma biomarkers of the amyloid pathway are associated with geographic atrophy secondary to age-related macular degeneration.Kameran LashkariGianna C TeagueUrsula BeattieJoanna BettsSanjay KumarMegan M McLaughlinFrancisco J LópezGeographic atrophy (GA) is an advanced form of dry age-related macular degeneration (AMD), in which local inflammation and hyperactivity of the complement pathway have been implicated in its pathophysiology. This study explores whether any surrogate biomarkers are specifically associated with GA. Plasma from subjects with GA, intermediate dry AMD and non-AMD control were evaluated in 2 cohorts. Cohort 1 was assayed in a 320-analyte Luminex library. Statistical analysis was performed using non-parametric and parametric methods (Kruskal-Wallis, principal component analysis, partial least squares and multivariate analysis of variance (MANOVA) and univariate ANCOVAs). Bioinformatic analysis was conducted and identified connections to the amyloid pathway. Statistically significant biomarkers identified in Cohort 1 were then re-evaluated in Cohort 2 using individual ELISA and multiplexing. Of 320 analytes in Cohort 1, 273 were rendered measurable, of which 56 were identified as changing. Among these markers, 40 were identified in univariate ANCOVAs. Serum amyloid precursor protein (sAPP) was analyzed by a separate ELISA and included in further analyses. The 40 biomarkers, sAPP and amyloid-β (Aβ) (1-42) (included for comparison) were evaluated in Cohort 2. This resulted in 11 statistically significant biomarkers, including sAPP and Aβ(1-40), but not Aβ(1-42). Other biomarkers identified included serum proteases- tissue plasminogen activator, tumor-associated trypsinogen inhibitor, matrix metalloproteinases 7 and 9, and non-proteases- insulin-like growth factor binding protein 6, AXL receptor tyrosine kinase, omentin, pentraxin-3 and osteopontin. Findings suggest that there is a preferential processing of APP to Aβ(1-40) over Aβ(1-42), and a potential role for the carboxylase activity of the γ-secretase protein, which preferentially splices sAPPβ to Aβ(1-40). Other markers are associated with the breakdown and remodeling of the extracellular matrix, and loss of homeostasis, possibly within the photoreceptor-retinal pigment epithelium-choriocapillaris complex. These data suggest novel disease pathways associated with GA pathogenesis and could provide potential novel targets for treatment of GA.https://doi.org/10.1371/journal.pone.0236283
collection DOAJ
language English
format Article
sources DOAJ
author Kameran Lashkari
Gianna C Teague
Ursula Beattie
Joanna Betts
Sanjay Kumar
Megan M McLaughlin
Francisco J López
spellingShingle Kameran Lashkari
Gianna C Teague
Ursula Beattie
Joanna Betts
Sanjay Kumar
Megan M McLaughlin
Francisco J López
Plasma biomarkers of the amyloid pathway are associated with geographic atrophy secondary to age-related macular degeneration.
PLoS ONE
author_facet Kameran Lashkari
Gianna C Teague
Ursula Beattie
Joanna Betts
Sanjay Kumar
Megan M McLaughlin
Francisco J López
author_sort Kameran Lashkari
title Plasma biomarkers of the amyloid pathway are associated with geographic atrophy secondary to age-related macular degeneration.
title_short Plasma biomarkers of the amyloid pathway are associated with geographic atrophy secondary to age-related macular degeneration.
title_full Plasma biomarkers of the amyloid pathway are associated with geographic atrophy secondary to age-related macular degeneration.
title_fullStr Plasma biomarkers of the amyloid pathway are associated with geographic atrophy secondary to age-related macular degeneration.
title_full_unstemmed Plasma biomarkers of the amyloid pathway are associated with geographic atrophy secondary to age-related macular degeneration.
title_sort plasma biomarkers of the amyloid pathway are associated with geographic atrophy secondary to age-related macular degeneration.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description Geographic atrophy (GA) is an advanced form of dry age-related macular degeneration (AMD), in which local inflammation and hyperactivity of the complement pathway have been implicated in its pathophysiology. This study explores whether any surrogate biomarkers are specifically associated with GA. Plasma from subjects with GA, intermediate dry AMD and non-AMD control were evaluated in 2 cohorts. Cohort 1 was assayed in a 320-analyte Luminex library. Statistical analysis was performed using non-parametric and parametric methods (Kruskal-Wallis, principal component analysis, partial least squares and multivariate analysis of variance (MANOVA) and univariate ANCOVAs). Bioinformatic analysis was conducted and identified connections to the amyloid pathway. Statistically significant biomarkers identified in Cohort 1 were then re-evaluated in Cohort 2 using individual ELISA and multiplexing. Of 320 analytes in Cohort 1, 273 were rendered measurable, of which 56 were identified as changing. Among these markers, 40 were identified in univariate ANCOVAs. Serum amyloid precursor protein (sAPP) was analyzed by a separate ELISA and included in further analyses. The 40 biomarkers, sAPP and amyloid-β (Aβ) (1-42) (included for comparison) were evaluated in Cohort 2. This resulted in 11 statistically significant biomarkers, including sAPP and Aβ(1-40), but not Aβ(1-42). Other biomarkers identified included serum proteases- tissue plasminogen activator, tumor-associated trypsinogen inhibitor, matrix metalloproteinases 7 and 9, and non-proteases- insulin-like growth factor binding protein 6, AXL receptor tyrosine kinase, omentin, pentraxin-3 and osteopontin. Findings suggest that there is a preferential processing of APP to Aβ(1-40) over Aβ(1-42), and a potential role for the carboxylase activity of the γ-secretase protein, which preferentially splices sAPPβ to Aβ(1-40). Other markers are associated with the breakdown and remodeling of the extracellular matrix, and loss of homeostasis, possibly within the photoreceptor-retinal pigment epithelium-choriocapillaris complex. These data suggest novel disease pathways associated with GA pathogenesis and could provide potential novel targets for treatment of GA.
url https://doi.org/10.1371/journal.pone.0236283
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