Literature DB >> 29684683

Brain-related proteins as potential CSF biomarkers of Alzheimer's disease: A targeted mass spectrometry approach.

Ilijana Begcevic1, Davor Brinc2, Marshall Brown3, Eduardo Martinez-Morillo4, Oliver Goldhardt5, Timo Grimmer5, Viktor Magdolen6, Ihor Batruch7, Eleftherios P Diamandis8.   

Abstract

Alzheimer's disease (AD) is the most common cause of dementia, characterized by progressive cognitive decline. The main disease hallmarks include amyloid beta aggregates and neurofibrillary tangles. Brain pathology is reflected in cerebrospinal fluid (CSF); the core biomarkers amyloid beta 1-42, total and phosphorylated tau protein levels are changed, relative to cognitively normal elderly. Still, there is a need for additional biomarkers which could identify disease more accurately and at an earlier stage, predict severity and be used in research settings. Here we evaluated 30 brain-related proteins as candidate biomarkers of AD. Proteins were quantified in CSF samples from cognitively healthy individuals (n = 23) and patients with mild cognitive impairment (MCI) due to AD (n = 20) or dementia due to AD (n = 10) using selected reaction monitoring mass spectrometry assays. APLP1 protein was increased in MCI relative to control (p < 0.001). The best discrimination between MCI vs. controls was observed with a model combining APLP1 and SPP1 proteins (area under the curve, AUC = 0.84). The strongest associations between protein abundance and disease severity were found for APLP1, CNTN2 and SPP1 proteins, which had a significant correlation with MMSE and CDR tests (p < 0.05). This study identifies new proteins with biomarker potential at various stages of AD severity. SIGNIFICANCE: The current study evaluated 30 brain-related, highly specific proteins as candidate biomarkers of AD diagnosis. Protein APLP1 showed promise as early AD biomarker; protein panel APLP1 and SPP1 had the best diagnostic potential in discriminating MCI from control group, while proteins APLP1, SPP1 and CNTN2 may be indicators of disease progression, demonstrating weak to moderate correlation with cognitive tests. This study therefore identifies new proteins with biomarker potential at early AD stage. If the performance of proposed biomarkers is further confirmed, these proteins may add value in the clinic or clinical trial settings as diagnostic biomarkers (alone or in combination with the existing biomarkers) of the prodromal AD stage, and in monitoring disease progression.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Alzheimer's disease; Biomarkers; Cerebrospinal fluid; Mass spectrometry; Selected reaction monitoring

Mesh:

Substances:

Year:  2018        PMID: 29684683     DOI: 10.1016/j.jprot.2018.04.027

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  21 in total

Review 1.  Cerebrospinal Fluid Biomarkers of Alzheimer's Disease: Current Evidence and Future Perspectives.

Authors:  Donovan A McGrowder; Fabian Miller; Kurt Vaz; Chukwuemeka Nwokocha; Cameil Wilson-Clarke; Melisa Anderson-Cross; Jabari Brown; Lennox Anderson-Jackson; Lowen Williams; Lyndon Latore; Rory Thompson; Ruby Alexander-Lindo
Journal:  Brain Sci       Date:  2021-02-10

Review 2.  Brain Parenchymal and Extraparenchymal Macrophages in Development, Homeostasis, and Disease.

Authors:  Simone Brioschi; Yingyue Zhou; Marco Colonna
Journal:  J Immunol       Date:  2020-01-15       Impact factor: 5.422

Review 3.  The Potential of 'Omics to Link Lipid Metabolism and Genetic and Comorbidity Risk Factors of Alzheimer's Disease in African Americans.

Authors:  Kaitlyn E Stepler; Renã A S Robinson
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

4.  Tau and other proteins found in Alzheimer's disease spinal fluid are linked to retromer-mediated endosomal traffic in mice and humans.

Authors:  Sabrina Simoes; Jessica L Neufeld; Gallen Triana-Baltzer; Setareh Moughadam; Emily I Chen; Milankumar Kothiya; Yasir H Qureshi; Vivek Patel; Lawrence S Honig; Hartmuth Kolb; Scott A Small
Journal:  Sci Transl Med       Date:  2020-11-25       Impact factor: 17.956

Review 5.  Biomarker discovery and development for frontotemporal dementia and amyotrophic lateral sclerosis.

Authors:  Jared S Katzeff; Fiona Bright; Katherine Phan; Jillian J Kril; Lars M Ittner; Michael Kassiou; John R Hodges; Olivier Piguet; Matthew C Kiernan; Glenda M Halliday; Woojin Scott Kim
Journal:  Brain       Date:  2022-06-03       Impact factor: 15.255

6.  Identification of Novel Cerebrospinal Fluid Biomarkers for Cognitive Decline in Aneurysmal Subarachnoid Hemorrhage: A Proteomic Approach.

Authors:  Fan Liu; Yun Bao; Binghui Qiu; Jian Mao; Xixian Liao; Haorun Huang; An Zhang; Guozhong Zhang; Songtao Qi; Fen Mei
Journal:  Front Cell Neurosci       Date:  2022-05-06       Impact factor: 5.505

Review 7.  Clinical significance of fluid biomarkers in Alzheimer's Disease.

Authors:  Piotr Lewczuk; Marta Łukaszewicz-Zając; Piotr Mroczko; Johannes Kornhuber
Journal:  Pharmacol Rep       Date:  2020-05-08       Impact factor: 3.024

8.  Multiplexed Phosphoproteomic Study of Brain in Patients with Alzheimer's Disease and Age-Matched Cognitively Healthy Controls.

Authors:  Gajanan Sathe; Kiran Kumar Mangalaparthi; Ankit Jain; Jacqueline Darrow; Juan Troncoso; Marilyn Albert; Abhay Moghekar; Akhilesh Pandey
Journal:  OMICS       Date:  2020-03-17

9.  Multi-cohort profiling reveals elevated CSF levels of brain-enriched proteins in Alzheimer's disease.

Authors:  Sofia Bergström; Julia Remnestål; Jamil Yousef; Jennie Olofsson; Ioanna Markaki; Stephanie Carvalho; Jean-Christophe Corvol; Kim Kultima; Lena Kilander; Malin Löwenmark; Martin Ingelsson; Kaj Blennow; Henrik Zetterberg; Bengt Nellgård; Frederic Brosseron; Michael T Heneka; Beatriz Bosch; Raquel Sanchez-Valle; Anna Månberg; Per Svenningsson; Peter Nilsson
Journal:  Ann Clin Transl Neurol       Date:  2021-06-15       Impact factor: 4.511

10.  Targeted mass spectrometry to quantify brain-derived cerebrospinal fluid biomarkers in Alzheimer's disease.

Authors:  Maotian Zhou; Rafi U Haque; Eric B Dammer; Duc M Duong; Lingyan Ping; Erik C B Johnson; James J Lah; Allan I Levey; Nicholas T Seyfried
Journal:  Clin Proteomics       Date:  2020-05-29       Impact factor: 3.988

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