Literature DB >> 27863112

Label-free quantitative comparison of cerebrospinal fluid glycoproteins and endogenous peptides in subjects with Alzheimer's disease, mild cognitive impairment, and healthy individuals.

Jingxin Wang1, Robert Cunningham2, Henrik Zetterberg3,4,5, Sanjay Asthana6,7,8, Cynthia Carlsson6,7,8, Ozioma Okonkwo1,6,7,8, Lingjun Li1,9,10,11.   

Abstract

PURPOSE: The goal of this study is to investigate putative molecular dynamic changes in cerebrospinal fluids (CSFs) collected from individuals with mild cognitive impairment (MCI) and Alzheimer's disease (AD) as compared to healthy controls. EXPERIMENTAL
DESIGN: The CSF samples from 12 subjects comprised of four cognitively normal individuals and eight patients with MCI and AD, respectively. Two aliquots of each CSF samples (total 1 mL) of each participant are used for this study. Endogenous peptide separations are performed using 10 000 molecular weight cut-off filters followed by LC-MS/MS identification and quantitation while lectin-enrichment chromatography is used to enrich glycoproteins in CSF followed by trypsin digestion and subsequent LC-MS/MS for shotgun identification and label-free quantitation.
RESULTS: Using an optimized submicrogram peptide separation with molecular weight cut-off filtration and an in house-constructed database, 645 peptides are identified. Glycoproteins are enriched by lectin affinity chromatography, resulting in 795 identified proteins. The discovery and alterations of proSAAS-derived peptides and transthyretin are described and their roles in AD are discussed. CONCLUSIONS AND CLINICAL RELEVANCE: Comprehensive identification of endogenous CSF peptidome is achieved. Fifteen proteins are found to be differentially expressed among the three groups. The dynamic changes of transthyretin are reported for the first time.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biomarker; Glycoproteomics; Label-free quantification; Mild cognitive impairment; ProSAAS; Transthyretin

Mesh:

Substances:

Year:  2016        PMID: 27863112     DOI: 10.1002/prca.201600009

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  15 in total

1.  Mass Defect-Based DiLeu Tagging for Multiplexed Data-Independent Acquisition.

Authors:  Xiaofang Zhong; Dustin C Frost; Qinying Yu; Miyang Li; Ting-Jia Gu; Lingjun Li
Journal:  Anal Chem       Date:  2020-07-30       Impact factor: 6.986

Review 2.  Peptidomic Approaches and Observations in Neurodegenerative Diseases.

Authors:  Besnik Muqaku; Patrick Oeckl
Journal:  Int J Mol Sci       Date:  2022-06-30       Impact factor: 6.208

3.  In-Depth Site-Specific O-Glycosylation Analysis of Glycoproteins and Endogenous Peptides in Cerebrospinal Fluid (CSF) from Healthy Individuals, Mild Cognitive Impairment (MCI), and Alzheimer's Disease (AD) Patients.

Authors:  Zhengwei Chen; Danqing Wang; Qing Yu; Jillian Johnson; Richard Shipman; Xiaofang Zhong; Junfeng Huang; Qinying Yu; Henrik Zetterberg; Sanjay Asthana; Cynthia Carlsson; Ozioma Okonkwo; Lingjun Li
Journal:  ACS Chem Biol       Date:  2021-12-29       Impact factor: 4.634

Review 4.  Mass Spectrometry Approaches to Glycomic and Glycoproteomic Analyses.

Authors:  L Renee Ruhaak; Gege Xu; Qiongyu Li; Elisha Goonatilleke; Carlito B Lebrilla
Journal:  Chem Rev       Date:  2018-03-19       Impact factor: 60.622

5.  Mapping human N-linked glycoproteins and glycosylation sites using mass spectrometry.

Authors:  Liuyi Dang; Li Jia; Yuan Zhi; Pengfei Li; Ting Zhao; Bojing Zhu; Rongxia Lan; Yingwei Hu; Hui Zhang; Shisheng Sun
Journal:  Trends Analyt Chem       Date:  2019-02-13       Impact factor: 12.296

6.  Different Inflammatory Signatures in Alzheimer's Disease and Frontotemporal Dementia Cerebrospinal Fluid.

Authors:  Gustaf Boström; Eva Freyhult; Johan Virhammar; Daniel Alcolea; Hayrettin Tumani; Markus Otto; Rose-Marie Brundin; Lena Kilander; Malin Löwenmark; Vilmantas Giedraitis; Alberto Lleó; Christine A F von Arnim; Kim Kultima; Martin Ingelsson
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

7.  Comparative Evaluation of MS-based Metabolomics Software and Its Application to Preclinical Alzheimer's Disease.

Authors:  Ling Hao; Jingxin Wang; David Page; Sanjay Asthana; Henrik Zetterberg; Cynthia Carlsson; Ozioma C Okonkwo; Lingjun Li
Journal:  Sci Rep       Date:  2018-06-18       Impact factor: 4.379

8.  Quantitative Proteomics of Cerebrospinal Fluid in Paediatric Pneumococcal Meningitis.

Authors:  Guadalupe Gómez-Baena; Richard J Bennett; Carmen Martínez-Rodríguez; Małgorzata Wnęk; Gavin Laing; Graeme Hickey; Lynn McLean; Robert J Beynon; Enitan D Carrol
Journal:  Sci Rep       Date:  2017-08-01       Impact factor: 4.379

Review 9.  A comprehensive systematic review of CSF proteins and peptides that define Alzheimer's disease.

Authors:  Juan R Peinado; Yoana Rabanal-Ruiz; Cristina M Pedrero-Prieto; Sonia García-Carpintero; Javier Frontiñán-Rubio; Emilio Llanos-González; Cristina Aguilera García; Francisco J Alcaín; Iris Lindberg; Mario Durán-Prado
Journal:  Clin Proteomics       Date:  2020-06-05       Impact factor: 3.988

Review 10.  Proteomic Approaches for the Discovery of Biofluid Biomarkers of Neurodegenerative Dementias.

Authors:  Becky C Carlyle; Bianca A Trombetta; Steven E Arnold
Journal:  Proteomes       Date:  2018-08-31
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