Amyloid precursor protein in peripheral granulocytes as a potential biomarker for Alzheimer's disease

Authors

  • Xiaonan Wang College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang City 212018
  • Xihai Li College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang City 212018
  • Jie Yang College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang City 212018
  • Ming Yu Department of Neurology, Affiliated Hospital of Jiangsu University, Zhenjiang City 212001
  • Jinmei Wu College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang City 212018

DOI:

https://doi.org/10.3329/bjp.v11iS1.26412

Keywords:

Alzheimer’s disease, Amyloid precursor protein, Granulocyte

Abstract

The aim of this study was to assess the potential of amyloid precursor protein in peripheral granulocytes as a diagnostic biomarker for early detection of Alzheimer's disease. Immunohistochemistry and flow cytometry were used to evaluate amyloid precursor protein expression levels and subcellular localization in Alzheimer's disease. Much higher amyloid precursor protein expression was observed in some leukocytes from Alzheimer's disease patients, compared with samples from non-Alzheimer's disease controls. In addition, flow cytometry data indicated significantly higher amyloid precursor protein  expression in granulocytes from Alzheimer's disease patients compared with control values. No statistically significant differences in amyloid precursor protein  expression were obtained in lymphocytes or monocytes between the patient groups. In conclusion, amyloid precursor protein expression level in peripheral blood granulocyte is a potential biomarker for early diagnosis of Alzheimer's disease.

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Published

2016-03-05

How to Cite

Wang, X., X. Li, J. Yang, M. Yu, and J. Wu. “Amyloid Precursor Protein in Peripheral Granulocytes As a Potential Biomarker for Alzheimer’s Disease”. Bangladesh Journal of Pharmacology, vol. 11, no. S1, Mar. 2016, pp. S92-S97, doi:10.3329/bjp.v11iS1.26412.

Issue

Vol. 11 (2016): Special Issue

Section

Research Articles

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