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Article type: Research Article
Authors: Wang, Xina | Zimmermann, Helena R.a | Lockhart, Samuel N.a | Craft, Suzannea | Ma, Taoa; b; c; *
Affiliations: [a] Department of Internal Medicine, Gerontology & Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA | [b] Department of Physiology and Pharmacology, and Department of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston-Salem, NC, USA | [c] Department of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston-Salem, NC, USA
Correspondence: [*] Correspondence to: Dr. Tao Ma, Department of Internal Medicine-Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA. Tel.: +1 336 7164981; Fax: +1 336 7138826; E-mail: [email protected].
Abstract: Background:There is an urgent need to develop feasible biomarkers for diagnosis and prognosis of Alzheimer’s disease (AD). Mounting evidence implicates that dysregulation of energy metabolism is a key and early event in AD pathogenesis. AMP-activated protein kinase (AMPK) is a central molecular sensor that plays a critical role in maintaining cellular energy homeostasis, and aberrant brain AMPK activities are linked to AD pathophysiology. Objective:We aimed to investigated protein levels of AMPKα isoforms, AMPKα1 and AMPKα2, in plasma samples from patients clinically diagnosed with mild cognitive impairment (MCI) or AD, along with age-matched healthy controls. Methods:30 participants (10 MCI, 10 AD, and 10 controls) were included in our pilot study. Plasma levels of AMPKα1 and AMPKα2 were determined by ELISA. Receiver operating characteristic (ROC) analysis was used to assess sensitivity and specificity. Linear regression was used to assess the correlation between levels of AMPKα isoforms and other biomarkers. Results:Plasma levels of AMPKα1 were decreased in MCI and AD patients, while levels of AMPKα2 were unaltered as compared to controls. ROC analysis showed relatively high sensitivity and specificity for AMPKα1 to distinguish MCI and AD from controls. Linear regression analysis showed that plasma levels of AMPKα1 were correlated with a brain imaging biomarker (AD signature cortical thicknesses). Conclusion:Plasma levels of AMPKα1 were decreased in MCI and AD patients. Future endeavor to explore whether blood AMPKα1 protein expression has the value as a potential biomarker for AD and MCI diagnosis shall be encouraged.
Keywords: Alzheimer’s disease, AMPK, biomarker, isoform, mild cognitive impairment, plasma
DOI: 10.3233/JAD-191189
Journal: Journal of Alzheimer's Disease, vol. 76, no. 1, pp. 217-224, 2020
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