Literature DB >> 27989075

MALDI Imaging Mass Spectrometry as a Lipidomic Approach to Heart Valve Research.

Peggi M Angel1, Ahmed S Bayoumi2, Robert B Hinton3, Yan Ru Su4, David Bichell5, John E Mayer6, H Scott Baldwin7, Richard M Caprioli8.   

Abstract

BACKGROUND: Valvular disease is characterized in part by lipid deposition, but systematic analysis of the patterns of global lipid expression in healthy and diseased valve tissues are unknown. This is due in part to tissue limitations for lipidomic preparations and technologies for evaluating lipid distribution in tissues. The study aim was to examine the application of matrixassisted laser desorption ionization imaging mass spectrometry (MALDI IMS) to the aortic valve during development and disease, as an approach to detect and map lipids and ultimately better understand valve structure and function.
METHODS: Established MALDI IMS strategies were applied to thin tissue sections of heart valves to map lipids to corresponding morphological features. Healthy prenatal and adult ovine aortic valve tissues were evaluated using the developed techniques. Lipid expression levels were compared between prenatal and adult valves using Wilcoxon rank sum testing and area under the receiver operating curves. A classification algorithm was used to determine distinct lipid signatures in adult extracellular matrix (ECM) substructures, including fibrosa and spongiosa layers. Lipid patterns were examined in heart valve tissue from pediatric patients with congenital aortic valve stenosis (CAVS).
RESULTS: Lipid levels were decreased in adult ovine aortic valves when compared with prenatal valves. Classification algorithms applied to lipid signatures reported distinct lipid signatures mapping to ECM substructures in the adult aortic valve, but could not distinguish amorphous structures at pre-natal day 5. In CAVS, the in-situ lipid aggregation of distinct lipid species showed unique patterning both concurrent and divergent with ECM disarray. Fatty acid content varied between normal and diseased human aortic valves.
CONCLUSIONS: MALDI IMS provides a new and useful approach to evaluate lipid biology in heart valve tissue. These findings define a role for lipid regulation in aortic valve development and demonstrate patterns of lipid deregulation in congenital disease.

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Year:  2016        PMID: 27989075

Source DB:  PubMed          Journal:  J Heart Valve Dis        ISSN: 0966-8519


  8 in total

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2.  Comprehensive targeted and non-targeted lipidomics analyses in failing and non-failing heart.

Authors:  Ganesh V Halade; Anela Dorbane; Kevin A Ingle; Vasundhara Kain; Jean-Marie Schmitter; Boutayna Rhourri-Frih
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3.  Lipid mass spectrometry imaging and proteomic analysis of severe aortic stenosis.

Authors:  Jihyeon Lim; Jennifer T Aguilan; Rani S Sellers; Fnu Nagajyothi; Louis M Weiss; Ruth Hogue Angeletti; Anna E Bortnick
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Review 4.  MALDI imaging mass spectrometry: an emerging tool in neurology.

Authors:  Laura K Schnackenberg; David A Thorn; Dustyn Barnette; E Ellen Jones
Journal:  Metab Brain Dis       Date:  2021-08-04       Impact factor: 3.584

Review 5.  Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis.

Authors:  Mark C Blaser; Simon Kraler; Thomas F Lüscher; Elena Aikawa
Journal:  Circ Res       Date:  2021-04-29       Impact factor: 17.367

6.  Spatial N-glycomics of the human aortic valve in development and pediatric endstage congenital aortic valve stenosis.

Authors:  Peggi M Angel; Richard R Drake; Yeonhee Park; Cassandra L Clift; Connor West; Savanna Berkhiser; Gary Hardiman; Anand S Mehta; David P Bichell; Yan Ru Su
Journal:  J Mol Cell Cardiol       Date:  2021-01-29       Impact factor: 5.000

7.  Imaging mass spectrometry identifies prognostic ganglioside species in rodent intracranial transplants of glioma and medulloblastoma.

Authors:  Leonardo Ermini; Elena Morganti; Alexander Post; Behzad Yeganeh; Isabella Caniggia; Michael Leadley; Claudia C Faria; James T Rutka; Martin Post
Journal:  PLoS One       Date:  2017-05-02       Impact factor: 3.240

8.  Multiplexed Imaging Mass Spectrometry of Histological Staining, N-Glycan and Extracellular Matrix from One Tissue Section: A Tool for Fibrosis Research.

Authors:  Cassandra L Clift; Anand Mehta; Richard R Drake; Peggi M Angel
Journal:  Methods Mol Biol       Date:  2021
  8 in total

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