CSF-Targeted Proteomics Indicate Amyloid-Beta Ratios in Patients with Alzheimer’s Dementia Spectrum

Author:

Behzad Maryam12ORCID,Zirak Negin13ORCID,Madani Ghazal Hamidi14ORCID,Baidoo Linda1,Rezaei Ali1,Karbasi Shima15ORCID,Sadeghi Mohammad1,Shafie Mahan16ORCID,Mayeli Mahsa16ORCID,Alzheimer’s Disease Neuroimaging Initiative 7

Affiliation:

1. NeuroTRACT Association, Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran

2. Department of Chemistery, University of Tehran, Iran

3. Department of Educational Science and Psychology, University of Tabriz, Tabriz, Iran

4. Department of Biology, Faculty of Sciences, University of Guilan, Iran

5. Department of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

6. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

7. Alzheimer’s Disease Neuroimaging Initiative, USA

Abstract

Background. According to recent studies, amyloid-β (Aβ) isoforms as cerebrospinal fluid (CSF) biomarkers have remarkable predictive value for cognitive decline in the early stages of Alzheimer’s disease (AD). Herein, we aimed to investigate the correlations between several targeted proteomics in CSF samples with Aβ ratios and cognitive scores in patients in AD spectrum to search for potential early diagnostic utility. Methods. A total of 719 participants were found eligible for inclusion. Patients were then categorized into cognitively normal (CN), mild cognitive impairment (MCI), and AD and underwent an assessment of Aβ and proteomics. Clinical Dementia Rating (CDR), Alzheimer’s Disease Assessment Scale (ADAS), and Mini Mental State Exam (MMSE) were used for further cognitive assessment. The Aβ42, Aβ42/Aβ40, and Aβ42/38 ratios were considered as means of comparison to identify those peptides corresponding significantly to these established biomarkers and cognitive scores. The diagnostic utility of the IASNTQSR, VAELEDEK, VVSSIEQK, GDSVVYGLR, EPVAGDAVPGPK, and QETLPSK was assessed. Results. All investigated peptides corresponded significantly to Aβ42 in controls. In those with MCI, VAELEDEK and EPVAGDAVPGPK were significantly correlated with Aβ42 ( p value < 0.001). Additionally, IASNTQSR, VVSSIEQK, GDSVVYGLR, and QETLPSK were significantly correlated with Aβ42/Aβ40 and Aβ42/38 ( p value < 0.001) in this group. This group of peptides similarly corresponded to Aβ ratios in those with AD. Eventually, IASNTQSR, VAELEDEK, and VVSSIEQK were significantly associated with CDR, ADAS-11, and ADAS-13, particularly in MCI group. Conclusion. Our research suggests potential early diagnostic and prognostic utilities for certain peptides extracted from CSF-targeted proteomics research. The ethical approval of ADNI is available at ClinicalTrials.gov with Identifier: NCT00106899.

Funder

University of Southern California

Publisher

Hindawi Limited

Subject

Behavioral Neuroscience,Cellular and Molecular Neuroscience,Cognitive Neuroscience,Neurology (clinical),Neurology,Aging,General Medicine

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