Mass spectrometry based investigation of Alzheimer’s disease and its biomarkers
The overall aim of this work was to find biomarkers for Alzheimer’s disease (AD) in such an easily accessible body fluid as blood and investigate the implications of these biomarkers for the AD mechanism. The central and most studied histopathological features in AD brain are the amyloid plaques. Even at the preclinical stage of AD, amyloid beta (Aβ) peptides already start to form plagues. It still remains unclear whether Aβ oligomers and fibrils initiate the molecular cascade that ultimately leads to AD. So far, all Aβ-centered therapy approaches have had little success. Therefore, a fresh, unorthodox look at the AD initiation and biomarkers of the disease development is required.
Since the primary risk factor for AD is age, biomarkers of protein aging could hypothetically be linked to AD. One of the main protein aging pathways is isoaspartate (isoAsp) accumulation; increased isoAsp levels are found in AD amyloid plaques. Thus we developed a mass spectrometry-based platform and workflow for isoAsp detection and quantification (Paper I), and applied them for the analysis of blood plasma samples from AD patients and healthy controls. We found increased levels of isoAsp in all stages of dementia (Paper II), which supported the hypothetical mechanism in which isoAsp accumulation triggers a sequence of events resulting in AD. To further investigate the impact of isoAsp accumulation in the central nervous system, we analyzed the brains of the transgenic mouse model lacking isoAsp repair via methylation (Paper III), and found that, along with the increased isoAsp levels, glutamate pathway is seriously distorted. IsoAsp can be cleared from the organism, besides repair, by means of proteases. When analyzing protein abundances in blood, we found links between these protein functions and AD development (Paper IV). The changes in the protein abundances were small, but nevertheless predictive of the AD progression. How early can one detect the imminent AD development by protein biomarkers? To address this question in the best possible scenario (a well-controlled system, brain biopsy), we analyzed the brain proteome of young transgenic mice and found statistically significant changes occurring long before the onset of AD-like symptoms (Paper V). Therefore, protein abundances, together with isoAsp levels, are promising biomarker candidates for AD diagnostics and prognostics, and mass spectrometry is an adequate tool for analyzing them.
List of scientific papers
I. Hongqian Yang, Eva Y. M. Fung, Alexander R. Zubarev and Roman A. Zubarev. Toward proteome-scale identification and quantification of isoaspartyl residues in biological samples, J. Proteome Res., 2009, 8(10): 4615-21.
https://doi.org/10.1021/pr900428m
II. Hongqian Yang, Yaroslav Lyutvinskiy, Hilkka Soininen and Roman A. Zubarev. Alzheimer's disease and mild cognitive impairment are associated with elevated levels of isoaspartyl residues in blood plasma proteins, J. Alzheimers Dis., 2011, 27(1): 113-8.
https://doi.org/10.3233/JAD-2011-110626
III. Hongqian Yang, Jonathan D. Lowenson, Steven Clarke, and Roman A. Zubarev. Brain proteomics supports the role of glutamate metabolism and suggests other metabolic alterations in protein L-isoaspartyl methyltransferase (PIMT)-knockout mice, J. Proteome Res. [Accepted]
https://doi.org/10.1021/pr400688r
IV. Hongqian Yang, Yaroslav Lyutvinskiy, Sanna-Kaisa Herukka, Hilkka Soininen, Dorothea Rutishauser and Roman A. Zubarev. Prognostic polypeptide blood plasma biomarkers of Alzheimer’s disease progression. [Manuscript]
V. Hongqian Yang, Jessica L. Wittnam, Roman A. Zubarev and Thomas A. Bayer. Shotgun brain proteomics reveals early molecular signature in presymptomatic mouse model of Alzheimer’s disease, J. Alzheimers Dis. [Accepted]
https://doi.org/10.3233/JAD-130476
History
Defence date
2013-09-27Department
- Department of Medical Biochemistry and Biophysics
Publisher/Institution
Karolinska InstitutetMain supervisor
Zubarev, RomanPublication year
2013Thesis type
- Doctoral thesis
ISBN
978-91-7549-271-1Number of supporting papers
5Language
- eng