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Search: WFRF:(Lynham Steven)

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1.
  • Ashton, Nicholas J., et al. (author)
  • A plasma protein classifier for predicting amyloid burden for preclinical Alzheimer's disease.
  • 2019
  • In: Science advances. - : American Association for the Advancement of Science (AAAS). - 2375-2548. ; 5:2
  • Journal article (peer-reviewed)abstract
    • A blood-based assessment of preclinical disease would have huge potential in the enrichment of participants for Alzheimer's disease (AD) therapeutic trials. In this study, cognitively unimpaired individuals from the AIBL and KARVIAH cohorts were defined as Aβ negative or Aβ positive by positron emission tomography. Nontargeted proteomic analysis that incorporated peptide fractionation and high-resolution mass spectrometry quantified relative protein abundances in plasma samples from all participants. A protein classifier model was trained to predict Aβ-positive participants using feature selection and machine learning in AIBL and independently assessed in KARVIAH. A 12-feature model for predicting Aβ-positive participants was established and demonstrated high accuracy (testing area under the receiver operator characteristic curve = 0.891, sensitivity = 0.78, and specificity = 0.77). This extensive plasma proteomic study has unbiasedly highlighted putative and novel candidates for AD pathology that should be further validated with automated methodologies.
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2.
  • Kumar, Abhinav, et al. (author)
  • Differences in the coronal proteome acquired by particles depositing in the lungs of asthmatic versus healthy humans
  • 2017
  • In: Nanomedicine. - : Elsevier BV. - 1549-9634 .- 1549-9642. ; 13:8, s. 2517-2521
  • Journal article (peer-reviewed)abstract
    • Most inhaled nanomedicines in development are for the treatment of lung disease, yet little is known about their interaction with the respiratory tract lining fluids (RTLFs). Here we combined the use of nano-silica, as a protein concentrator, with label-free snapshot proteomics (LC-MS/MS; key findings confirmed by ELISA) to generate a quantitative profile of the RTLF proteome and provided insight into the evolved corona; information that may be used in future to improve drug targeting to the lungs by inhaled medicines. The asthmatic coronal proteome displayed a reduced contribution of surfactant proteins (SP-A and B) and a higher contribution of α1-antitrypsin. Pathway analysis suggested that asthmatic RTLFs may also be deficient in proteins related to metal handling (e.g. lactoferrin). This study demonstrates how the composition of the corona acquired by inhaled nanoparticles is modified in asthma and suggests depressed mucosal immunity even in mild airway disease.
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3.
  • Kumar, Abhinav, et al. (author)
  • Enrichment of immunoregulatory proteins in the biomolecular corona of nanoparticles within human respiratory tract lining fluid
  • 2016
  • In: Nanomedicine. - : Elsevier BV. - 1549-9634 .- 1549-9642. ; 12:4, s. 1033-1043
  • Journal article (peer-reviewed)abstract
    • When inhaled nanoparticles deposit in the lungs, they transit through respiratory tract lining fluid (RTLF) acquiring a biomolecular corona reflecting the interaction of the RTLF with the nanomaterial surface. Label-free snapshot proteomics was used to generate semiquantitative profiles of corona proteins formed around silica (SiO2) and poly(vinyl) acetate (PVAc) nanoparticles in RTLF, the latter employed as an archetype drug delivery vehicle. The evolved PVAc corona was significantly enriched compared to that observed on SiO2 nanoparticles (698 vs. 429 proteins identified); however both coronas contained a substantial contribution from innate immunity proteins, including surfactant protein A, napsin A and complement (C1q and C3) proteins. Functional protein classification supports the hypothesis that corona formation in RTLF constitutes opsonisation, preparing particles for phagocytosis and clearance from the lungs. These data highlight how an understanding of the evolved corona is necessary for the design of inhaled nanomedicines with acceptable safety and tailored clearance profiles. From the Clinical Editor: Inhaled nanoparticles often acquire a layer of protein corona while they go through the respiratory tract. Here, the authors investigated the identity of these proteins. The proper identification would improve the understanding of the use of inhaled nanoparticles in future therapeutics. (C) 2016 Published by Elsevier Inc.
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