Advantages of omics approaches for elucidating metabolic changes in diabetic peripheral neuropathy

Front Endocrinol (Lausanne). 2023 Nov 28:14:1208441. doi: 10.3389/fendo.2023.1208441. eCollection 2023.

Abstract

Various animal and cell culture models of diabetes mellitus (DM) have been established and utilized to study diabetic peripheral neuropathy (DPN). The divergence of metabolic abnormalities among these models makes their etiology complicated despite some similarities regarding the pathological and neurological features of DPN. Thus, this study aimed to review the omics approaches toward DPN, especially on the metabolic states in diabetic rats and mice induced by chemicals (streptozotocin and alloxan) as type 1 DM models and by genetic mutations (MKR, db/db and ob/ob) and high-fat diet as type 2 DM models. Omics approaches revealed that the pathways associated with lipid metabolism and inflammation in dorsal root ganglia and sciatic nerves were enriched and controlled in the levels of gene expression among these animal models. Additionally, these pathways were conserved in human DPN, indicating the pivotal pathogeneses of DPN. Omics approaches are beneficial tools to better understand the association of metabolic changes with morphological and functional abnormalities in DPN.

Keywords: TCA cycle; diabetic peripheral neuropathy; glycolysis; omics approach; pyruvate.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Diabetes Mellitus, Experimental* / complications
  • Diabetes Mellitus, Experimental* / genetics
  • Diabetes Mellitus, Experimental* / metabolism
  • Diabetes Mellitus, Type 1* / metabolism
  • Diabetes Mellitus, Type 2* / complications
  • Diabetic Neuropathies* / genetics
  • Diabetic Neuropathies* / metabolism
  • Humans
  • Mice
  • Rats
  • Sciatic Nerve / metabolism
  • Sciatic Nerve / pathology

Grants and funding

This study was supported by Grants-in-aid for Scientific Research from the Ministry of Education, Science, Sports, Culture and Technology of Japan (JSPS KAKENHI 20K07773 and 20K16127).