Literature DB >> 23076076

A selected reaction monitoring (SRM)-based method for absolute quantification of Aβ38, Aβ40, and Aβ42 in cerebrospinal fluid of Alzheimer's disease patients and healthy controls.

Josef Pannee1, Erik Portelius, Madalina Oppermann, Alan Atkins, Martin Hornshaw, Ingrid Zegers, Peter Höjrup, Lennart Minthon, Oskar Hansson, Henrik Zetterberg, Kaj Blennow, Johan Gobom.   

Abstract

Cerebrospinal fluid (CSF) biomarkers for Alzheimer's disease (AD) are increasingly used in research centers, clinical trials, and clinical settings. However, their broad-scale use is hampered by lack of standardization across analytical platforms and by interference from binding of amyloid-β (Aβ) to matrix proteins as well as self-aggregation. Here, we report on a matrix effect-resistant method for the measurement of the AD-associated 42 amino acid species of Aβ (Aβ42), together with Aβ40 and Aβ38 in human CSF based on mass spectrometric quantification using selected reaction monitoring (SRM). Samples were prepared by solid-phase extraction and quantification was performed using stable-isotope labeled Aβ peptides as internal standards. The diagnostic performance of the method was evaluated on two independent clinical materials with research volunteers who were cognitively normal and AD patients with mild to moderate dementia. Analytical characteristics of the method include a lower limit of quantification of 62.5 pg/mL for Aβ42 and coefficients of variations below 10%. In a pilot study on AD patients and controls, we verified disease-association with decreased levels of Aβ42 similar to that obtained by ELISA and even better separation was obtained using the Aβ42/Aβ40 ratio. The developed assay is sensitive and is not influenced by matrix effects, enabling absolute quantification of Aβ42, Aβ40, and Aβ38 in CSF, while it retains the ability to distinguish AD patients from controls. We suggest this SRM-based method for Aβ peptide quantification in human CSF valuable for clinical research and trials.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23076076     DOI: 10.3233/JAD-2012-121471

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  26 in total

1.  Proteomics for Target Identification in Psychiatric and Neurodegenerative Disorders.

Authors:  André S L M Antunes; Valéria de Almeida; Fernanda Crunfli; Victor C Carregari; Daniel Martins-de-Souza
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

2.  Multiple reaction monitoring assay based on conventional liquid chromatography and electrospray ionization for simultaneous monitoring of multiple cerebrospinal fluid biomarker candidates for Alzheimer's disease.

Authors:  Yong Seok Choi; Kelvin H Lee
Journal:  Arch Pharm Res       Date:  2015-09-24       Impact factor: 4.946

Review 3.  Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases.

Authors:  Eugene M Cilento; Lorrain Jin; Tessandra Stewart; Min Shi; Lifu Sheng; Jing Zhang
Journal:  J Neurochem       Date:  2019-01-31       Impact factor: 5.372

4.  Cross-seeding between Aβ40 and Aβ42 in Alzheimer's disease.

Authors:  Joyce Tran; Dennis Chang; Frederick Hsu; Hongsu Wang; Zhefeng Guo
Journal:  FEBS Lett       Date:  2016-12-29       Impact factor: 4.124

5.  High performance plasma amyloid-β biomarkers for Alzheimer's disease.

Authors:  Akinori Nakamura; Naoki Kaneko; Victor L Villemagne; Takashi Kato; James Doecke; Vincent Doré; Chris Fowler; Qiao-Xin Li; Ralph Martins; Christopher Rowe; Taisuke Tomita; Katsumi Matsuzaki; Kenji Ishii; Kazunari Ishii; Yutaka Arahata; Shinichi Iwamoto; Kengo Ito; Koichi Tanaka; Colin L Masters; Katsuhiko Yanagisawa
Journal:  Nature       Date:  2018-01-31       Impact factor: 49.962

6.  Nonlinear Regression Improves Accuracy of Characterization of Multiplexed Mass Spectrometric Assays.

Authors:  Cyril Galitzine; Jarrett D Egertson; Susan Abbatiello; Clark M Henderson; Lindsay K Pino; Michael MacCoss; Andrew N Hoofnagle; Olga Vitek
Journal:  Mol Cell Proteomics       Date:  2018-02-09       Impact factor: 5.911

7.  Induction of Amyloid-β42 Production by Fipronil and Other Pyrazole Insecticides.

Authors:  Morgane Cam; Emilie Durieu; Marion Bodin; Antigoni Manousopoulou; Svenja Koslowski; Natalia Vasylieva; Bogdan Barnych; Bruce D Hammock; Bettina Bohl; Philipp Koch; Chiori Omori; Kazuo Yamamoto; Saori Hata; Toshiharu Suzuki; Frank Karg; Patrick Gizzi; Vesna Erakovic Haber; Vlatka Bencetic Mihaljevic; Branka Tavcar; Erik Portelius; Josef Pannee; Kaj Blennow; Henrik Zetterberg; Spiros D Garbis; Pierrick Auvray; Hermeto Gerber; Jeremy Fraering; Patrick C Fraering; Laurent Meijer
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

Review 8.  Biomarkers in Alzheimer's disease analysis by mass spectrometry-based proteomics.

Authors:  Yahui Liu; Hong Qing; Yulin Deng
Journal:  Int J Mol Sci       Date:  2014-05-06       Impact factor: 5.923

Review 9.  Cerebrospinal fluid analysis in Alzheimer's disease: technical issues and future developments.

Authors:  Simone Lista; Henrik Zetterberg; Bruno Dubois; Kaj Blennow; Harald Hampel
Journal:  J Neurol       Date:  2014-05-08       Impact factor: 4.849

10.  Rapid development of sensitive, high-throughput, quantitative and highly selective mass spectrometric targeted immunoassays for clinically important proteins in human plasma and serum.

Authors:  Bryan Krastins; Amol Prakash; David A Sarracino; Dobrin Nedelkov; Eric E Niederkofler; Urban A Kiernan; Randall Nelson; Maryann S Vogelsang; Gouri Vadali; Alejandra Garces; Jennifer N Sutton; Scott Peterman; Gregory Byram; Bruno Darbouret; Joëlle R Pérusse; Nabil G Seidah; Benoit Coulombe; Johan Gobom; Erik Portelius; Josef Pannee; Kaj Blennow; Vathany Kulasingam; Lewis Couchman; Caje Moniz; Mary F Lopez
Journal:  Clin Biochem       Date:  2013-01-08       Impact factor: 3.281

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.