Literature DB >> 27805616

A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status.

Wendy E Heywood1, Anna Baud1, Emily Bliss1, Ernestas Sirka1, Jonathan M Schott2, Henrik Zetterberg3, Daniela Galimberti4, Neil J Sebire5, Kevin Mills6.   

Abstract

Many neurodegenerative diseases are still lacking effective treatments. Reliable biomarkers for identifying and classifying these diseases will be important in the development of future novel therapies. Often potential new biomarkers do not make it into the clinic due to limitations in their development and high costs. However, targeted proteomics using Multiple Reaction Monitoring Liquid Chromatography-tandem/Mass Spectrometry (MRM LC-MS/MS), specifically using triple quadrupole mass spectrometers, is one method that can be used to rapidly evaluate and validate biomarkers for clinical translation into diagnostic laboratories. Traditionally, this platform has been used extensively for measurement of small molecules in clinical laboratories, but it is the potential to analyze proteins, that makes it an attractive alternative to ELISA (Enzyme-Linked Immunosorbent Assay)-based methods. We describe here how targeted proteomics can be used to measure multiplexed markers of dementia, including the detection and quantitation of the known risk factor apolipoprotein E isoform 4 (ApoE4). In order to make the assay suitable for translation, it is designed to be rapid, simple, highly specific and cost effective. To achieve this, every step in the development of the assay must be optimized for the individual proteins and tissues they are analyzed in. This method describes a typical workflow including various tips and tricks to developing a targeted proteomics MRM LC-MS/MS for translation. The method development is optimized using custom synthesized versions of tryptic quantotypic peptides, which calibrate the MS for detection and then spiked into CSF to determine correct identification of the endogenous peptide in the chromatographic separation prior to analysis in the MS. To achieve absolute quantitation, stable isotope-labeled internal standard versions of the peptides with short amino acid sequence tags and containing a trypsin cleavage site, are included in the assay.

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Year:  2016        PMID: 27805616      PMCID: PMC5092224          DOI: 10.3791/54541

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  12 in total

1.  The development of a peptide SRM-based tandem mass spectrometry assay for prenatal screening of Down syndrome.

Authors:  Wendy Heywood; Darrell Wang; Tracey E Madgett; Neil D Avent; Simon Eaton; Lyn S Chitty; Kevin Mills
Journal:  J Proteomics       Date:  2012-04-17       Impact factor: 4.044

2.  Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification.

Authors:  Nathan P Manes; Jessica M Mann; Aleksandra Nita-Lazar
Journal:  J Vis Exp       Date:  2015-08-17       Impact factor: 1.355

3.  YKL-40: a novel prognostic fluid biomarker for preclinical Alzheimer's disease.

Authors:  Rebecca Craig-Schapiro; Richard J Perrin; Catherine M Roe; Chengjie Xiong; Deborah Carter; Nigel J Cairns; Mark A Mintun; Elaine R Peskind; Ge Li; Douglas R Galasko; Christopher M Clark; Joseph F Quinn; Gina D'Angelo; James P Malone; R Reid Townsend; John C Morris; Anne M Fagan; David M Holtzman
Journal:  Biol Psychiatry       Date:  2010-11-15       Impact factor: 13.382

4.  Newborn blood spot screening for sickle cell disease by using tandem mass spectrometry: implementation of a protocol to identify only the disease states of sickle cell disease.

Authors:  Stuart J Moat; Derek Rees; Lawrence King; Adeboye Ifederu; Katie Harvey; Kate Hall; Geoff Lloyd; Christine Morrell; Sharon Hillier
Journal:  Clin Chem       Date:  2013-10-24       Impact factor: 8.327

5.  Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.

Authors:  Brendan MacLean; Daniela M Tomazela; Nicholas Shulman; Matthew Chambers; Gregory L Finney; Barbara Frewen; Randall Kern; David L Tabb; Daniel C Liebler; Michael J MacCoss
Journal:  Bioinformatics       Date:  2010-02-09       Impact factor: 6.937

6.  Targeted proteomics.

Authors:  Vivien Marx
Journal:  Nat Methods       Date:  2013-01       Impact factor: 28.547

7.  Orexinergic system dysregulation, sleep impairment, and cognitive decline in Alzheimer disease.

Authors:  Claudio Liguori; Andrea Romigi; Marzia Nuccetelli; Silvana Zannino; Giuseppe Sancesario; Alessandro Martorana; Maria Albanese; Nicola Biagio Mercuri; Francesca Izzi; Sergio Bernardini; Alessandra Nitti; Giulia M Sancesario; Francesco Sica; Maria G Marciani; Fabio Placidi
Journal:  JAMA Neurol       Date:  2014-12       Impact factor: 18.302

8.  The identification of new biomarkers for identifying and monitoring kidney disease and their translation into a rapid mass spectrometry-based test: evidence of presymptomatic kidney disease in pediatric Fabry and type-I diabetic patients.

Authors:  Victoria Manwaring; Wendy E Heywood; Robert Clayton; Robin H Lachmann; Joan Keutzer; Peter Hindmarsh; Bryan Winchester; Simon Heales; Kevin Mills
Journal:  J Proteome Res       Date:  2013-04-02       Impact factor: 4.466

9.  Identification and validation of novel cerebrospinal fluid biomarkers for staging early Alzheimer's disease.

Authors:  Richard J Perrin; Rebecca Craig-Schapiro; James P Malone; Aarti R Shah; Petra Gilmore; Alan E Davis; Catherine M Roe; Elaine R Peskind; Ge Li; Douglas R Galasko; Christopher M Clark; Joseph F Quinn; Jeffrey A Kaye; John C Morris; David M Holtzman; R Reid Townsend; Anne M Fagan
Journal:  PLoS One       Date:  2011-01-12       Impact factor: 3.240

10.  Identification of novel CSF biomarkers for neurodegeneration and their validation by a high-throughput multiplexed targeted proteomic assay.

Authors:  Wendy E Heywood; Daniela Galimberti; Emily Bliss; Ernestas Sirka; Ross W Paterson; Nadia K Magdalinou; Miryam Carecchio; Emma Reid; Amanda Heslegrave; Chiara Fenoglio; Elio Scarpini; Jonathan M Schott; Nick C Fox; John Hardy; Kailiash Bhatia; Kailash Bahtia; Simon Heales; Neil J Sebire; Henrik Zetterberg; Henrik Zetterburg; Kevin Mills
Journal:  Mol Neurodegener       Date:  2015-12-01       Impact factor: 14.195

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  2 in total

1.  Identification of a Multiplex Biomarker Panel for Hypertrophic Cardiomyopathy Using Quantitative Proteomics and Machine Learning.

Authors:  Gabriella Captur; Wendy E Heywood; Caroline Coats; Stefania Rosmini; Vimal Patel; Luis R Lopes; Richard Collis; Nina Patel; Petros Syrris; Paul Bassett; Ben O'Brien; James C Moon; Perry M Elliott; Kevin Mills
Journal:  Mol Cell Proteomics       Date:  2019-06-26       Impact factor: 5.911

2.  Identification of CSF biomarkers by proteomics in Guillain-Barré syndrome.

Authors:  Pei Li; Sujie Wang; Ruili Zhang; Jian Pei; Lili Chen; Yibin Cao; Haoliang Zhang; Guofeng Yang
Journal:  Exp Ther Med       Date:  2018-05-02       Impact factor: 2.447

  2 in total

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