Literature DB >> 25152327

iTRAQ quantitative clinical proteomics revealed role of Na(+)K(+)-ATPase and its correlation with deamidation in vascular dementia.

Sunil S Adav1, Jingru Qian, Yi Lin Ang, Raj N Kalaria, Mitchell K P Lai, Christopher P Chen, Siu Kwan Sze.   

Abstract

Dementia is a major public health burden characterized by impaired cognition and loss of function. There are limited treatment options due to inadequate understanding of its pathophysiology and underlying causative mechanisms. Discovery-driven iTRAQ-based quantitative proteomics techniques were applied on frozen brain samples to profile the proteome from vascular dementia (VaD) and age-matched nondementia controls to elucidate the perturbed pathways contributing to pathophysiology of VaD. The iTRAQ quantitative data revealed significant up-regulation of protein-l-isoaspartate O-methyltransferase and sodium-potassium transporting ATPase, while post-translational modification analysis suggested deamidation of catalytic and regulatory subunits of sodium-potassium transporting ATPase. Spontaneous protein deamidation of labile asparagines, generating abnormal l-isoaspartyl residues, is associated with cell aging and dementia due to Alzheimer's disease and may be a cause of neurodegeneration. As ion channel proteins play important roles in cellular signaling processes, alterations in their function by deamidation may lead to perturbations in membrane excitability and neuronal function. Structural modeling of sodium-potassium transporting ATPase revealed the close proximity of these deamidated residues to the catalytic site during E2P confirmation. The deamidated residues may disrupt electrostatic interaction during E1 phosphorylation, which may affect ion transport and signal transduction. Our findings suggest impaired regulation and compromised activity of ion channel proteins contribute to the pathophysiology of VaD.

Entities:  

Keywords:  Na+/K+-ATPase; dementia; iTRAQ; ion channel proteins; mass spectrometry

Mesh:

Substances:

Year:  2014        PMID: 25152327     DOI: 10.1021/pr500754j

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  11 in total

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2.  Identification of Dysregulated Mechanisms and Potential Biomarkers in Ischemic Stroke Onset.

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4.  Dementia-linked amyloidosis is associated with brain protein deamidation as revealed by proteomic profiling of human brain tissues.

Authors:  Sunil S Adav; Xavier Gallart-Palau; Kok Hian Tan; Sai Kiang Lim; James P Tam; Siu Kwan Sze
Journal:  Mol Brain       Date:  2016-02-19       Impact factor: 4.041

5.  iTRAQ-Based Quantitative Proteomics Identifies Potential Regulatory Proteins Involved in Chicken Eggshell Brownness.

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6.  Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer's disease.

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7.  Contrasting Sodium and Potassium Perturbations in the Hippocampus Indicate Potential Na+/K+-ATPase Dysfunction in Vascular Dementia.

Authors:  Sasha A Philbert; Jingshu Xu; Melissa Scholefield; Stephanie J Church; Richard D Unwin; Garth J S Cooper
Journal:  Front Aging Neurosci       Date:  2022-01-28       Impact factor: 5.750

8.  Gender differences in white matter pathology and mitochondrial dysfunction in Alzheimer's disease with cerebrovascular disease.

Authors:  Xavier Gallart-Palau; Benjamin S T Lee; Sunil S Adav; Jingru Qian; Aida Serra; Jung Eun Park; Mitchell K P Lai; Christopher P Chen; Raj N Kalaria; Siu Kwan Sze
Journal:  Mol Brain       Date:  2016-03-17       Impact factor: 4.041

9.  Studies on the Proteome of Human Hair - Identification of Histones and Deamidated Keratins.

Authors:  Sunil S Adav; Roopa S Subbaiaih; Swat Kim Kerk; Amelia Yilin Lee; Hui Ying Lai; Kee Woei Ng; Siu Kwan Sze; Artur Schmidtchen
Journal:  Sci Rep       Date:  2018-01-25       Impact factor: 4.379

10.  Serum albumin cysteine trioxidation is a potential oxidative stress biomarker of type 2 diabetes mellitus.

Authors:  Selvam Paramasivan; Sunil S Adav; SoFong Cam Ngan; Rinkoo Dalan; Melvin Khee-Shing Leow; Hee Hwa Ho; Siu Kwan Sze
Journal:  Sci Rep       Date:  2020-04-15       Impact factor: 4.379

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