Biochemical Properties and Physiological Functions of pLG72: Twenty Years of Investigations

Biomolecules. 2022 Jun 20;12(6):858. doi: 10.3390/biom12060858.

Abstract

In 2002, the novel human gene G72 was associated with schizophrenia susceptibility. This gene encodes a small protein of 153 amino acids, named pLG72, which represents a rare case of primate-specific protein. In particular, the rs2391191 single nucleotide polymorphism (resulting in in the R30K substitution) was robustly associated to schizophrenia and bipolar disorder. In this review, we aim to summarize the results of 20 years of biochemical investigations on pLG72. The main known role of pLG72 is related to its ability to bind and inactivate the flavoenzyme d-amino acid oxidase, i.e., the enzyme that controls the catabolism of d-serine, the main NMDA receptor coagonist in the brain. pLG72 was proposed to target the cytosolic form of d-amino acid oxidase for degradation, preserving d-serine and protecting the cell from oxidative stress generated by hydrogen peroxide produced by the flavoenzyme reaction. Anyway, pLG72 seems to play additional roles, such as affecting mitochondrial functions. The level of pLG72 in the human body is still a controversial issue because of its low expression and challenging detection. Anyway, the intriguing hypothesis that pLG72 level in blood could represent a suitable marker of Alzheimer's disease progression (a suggestion not sufficiently established yet) merits further investigations.

Keywords: Alzheimer’s disease; NMDA receptor; d-serine; protein-protein interaction; schizophrenia.

Publication types

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

MeSH terms

  • Animals
  • Bipolar Disorder*
  • Intracellular Signaling Peptides and Proteins / metabolism
  • Receptors, N-Methyl-D-Aspartate / metabolism
  • Schizophrenia* / metabolism
  • Serine / metabolism

Substances

  • Intracellular Signaling Peptides and Proteins
  • Receptors, N-Methyl-D-Aspartate
  • Serine

Grants and funding

This research was funded by PRIN2021, grant number 2020K53E57 and by Fondo di Ateneo per la Ricerca.