Glucose Concentration in Regulating Induced Pluripotent Stem Cells Differentiation Toward Insulin-Producing Cells

Transpl Int. 2024 Jan 18:37:11900. doi: 10.3389/ti.2024.11900. eCollection 2024.

Abstract

The generation of insulin-producing cells from human-induced pluripotent stem cells holds great potential for diabetes modeling and treatment. However, existing protocols typically involve incubating cells with un-physiologically high concentrations of glucose, which often fail to generate fully functional IPCs. Here, we investigated the influence of high (20 mM) versus low (5.5 mM) glucose concentrations on IPCs differentiation in three hiPSC lines. In two hiPSC lines that were unable to differentiate to IPCs sufficiently, we found that high glucose during differentiation leads to a shortage of NKX6.1+ cells that have co-expression with PDX1 due to insufficient NKX6.1 gene activation, thus further reducing differentiation efficiency. Furthermore, high glucose during differentiation weakened mitochondrial respiration ability. In the third iPSC line, which is IPC differentiation amenable, glucose concentrations did not affect the PDX1/NKX6.1 expression and differentiation efficiency. In addition, glucose-stimulated insulin secretion was only seen in the differentiation under a high glucose condition. These IPCs have higher KATP channel activity and were linked to sufficient ABCC8 gene expression under a high glucose condition. These data suggest high glucose concentration during IPC differentiation is necessary to generate functional IPCs. However, in cell lines that were IPC differentiation unamenable, high glucose could worsen the situation.

Keywords: glucose; induced pluripotent stem cells; mitochondria; stem cell differentiation; stem cell-derived beta cells.

MeSH terms

  • Cell Differentiation
  • Glucose / metabolism
  • Glucose / pharmacology
  • Humans
  • Induced Pluripotent Stem Cells* / metabolism
  • Insulin / metabolism
  • Insulin-Secreting Cells*

Substances

  • Insulin
  • Glucose

Grants and funding

This work has been supported by UiO: Life Science, the Research Council of Norway through its Centers of Excellence funding scheme, project number 262613, the Norwegian Diabetes Association, and Southern and Eastern Norway Regional Health Authority, project number 2023028.