Comparative Phosphoproteomics of Neuro‐2a Cells under Insulin Resistance Reveals New Molecular Signatures of Alzheimer’s Disease

Dayea Kim, Yeon Suk Jo, Han Seul Jo, Sungwon Bae, Yang Woo Kwon, Yong Seok Oh, Jong Hyuk Yoon

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Insulin in the brain is a well‐known critical factor in neuro‐development and regulation of adult neurogenesis in the hippocampus. The abnormality of brain insulin signaling is associated with the aging process and altered brain plasticity, and could promote neurodegeneration in the late stage of Alzheimer’s disease (AD). The precise molecular mechanism of the relationship between insulin resistance and AD remains unclear. The development of phosphoproteomics has advanced our knowledge of phosphorylation‐mediated signaling networks and could elucidate the molecular mechanisms of certain pathological conditions. Here, we applied a reliable phosphoproteomic approach to Neuro2a (N2a) cells to identify their molecular features under two different insulin‐resistant conditions with clinical relevance: inflammation and dyslipidemia. Despite significant difference in overall phosphoproteome profiles, we found molecular signatures and biological pathways in common between two insulin‐resistant conditions. These include the integrin and adenosine monophosphate‐activated protein kinase pathways, and we further verified these molecular targets by subsequent biochemical analysis. Among them, the phosphorylation levels of acetyl‐CoA carboxylase and Src were reduced in the brain from rodent AD model 5xFAD mice. This study provides new molecular signatures for insulin resistance in N2a cells and possible links between the molecular features of insulin resistance and AD.

Original languageEnglish
Article number1006
JournalInternational Journal of Molecular Sciences
Volume23
Issue number2
DOIs
StatePublished - 1 Jan 2022

Bibliographical note

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • AMPK
  • Insulin resistance
  • Integrin
  • Metabolic disease
  • Phosphoproteomics

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