Sphingolipid Metabolism as a New Predictive Target Correlated with Aging and AD: A Transcriptomic Analysis

Medicina (Kaunas). 2022 Mar 30;58(4):493. doi: 10.3390/medicina58040493.

Abstract

Background and objectives: Alzheimer's disease (AD) is the most common form of dementia characterized by memory loss and executive dysfunction. To date, no markers can effectively predict the onset of AD and an early diagnosis is increasingly necessary. Age represents an important risk factor for the disease but it is not known whether it is the trigger event. Materials and Methods: We downloaded transcriptomic data related to post-mortem brain of thirty samples gathered as young without AD (Young), old without AD (Old), and old suffering from AD (OAD) groups. Results: Our results showed that steroid biosynthesis was enriched and associated with aging, while sphingolipid metabolism was related to both aging and AD. Specifically, sphingolipid metabolism is involved in the deregulation of CERS2, UGT8, and PLPP2. These genes are downregulated in Young and Old groups as compared with upregulated between Old and OAD groups. Moreover, the analysis of the interaction networks revealed that GABAergic synapse and Hippo signaling pathways were altered in AD condition along with mitochondrial metabolism and RNA processing. Conclusions: Observing the particular trend of genes related to sphingolipid metabolism that are downregulated during normal aging and start to be upregulated with the onset of AD, we suppose that sphingolipids could be early markers for the disease.

Keywords: Alzheimer’s disease; aging; interactome; sphingolipid metabolism; transcriptome.

MeSH terms

  • Aging / genetics
  • Alzheimer Disease* / genetics
  • Biomarkers / metabolism
  • Brain / metabolism
  • Gene Expression Profiling
  • Humans
  • Sphingolipids
  • Transcriptome / genetics

Substances

  • Biomarkers
  • Sphingolipids