High-Throughput Quantitative Screening of Glucose-Stimulated Insulin Secretion and Insulin Content Using Automated MALDI-TOF Mass Spectrometry

Cells. 2023 Mar 9;12(6):849. doi: 10.3390/cells12060849.

Abstract

Type 2 diabetes (T2D) is a metabolic disorder characterized by loss of pancreatic β-cell function, decreased insulin secretion and increased insulin resistance, that affects more than 537 million people worldwide. Although several treatments are proposed to patients suffering from T2D, long-term control of glycemia remains a challenge. Therefore, identifying new potential drugs and targets that positively affect β-cell function and insulin secretion remains crucial. Here, we developed an automated approach to allow the identification of new compounds or genes potentially involved in β-cell function in a 384-well plate format, using the murine β-cell model Min6. By using MALDI-TOF mass spectrometry, we implemented a high-throughput screening (HTS) strategy based on the automation of a cellular assay allowing the detection of insulin secretion in response to glucose, i.e., the quantitative detection of insulin, in a miniaturized system. As a proof of concept, we screened siRNA targeting well-know β-cell genes and 1600 chemical compounds and identified several molecules as potential regulators of insulin secretion and/or synthesis, demonstrating that our approach allows HTS of insulin secretion in vitro.

Keywords: MALDI-TOF mass spectrometry; high-throughput screening; insulin secretion; pancreatic beta cell; type 2 diabetes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Diabetes Mellitus, Type 2* / metabolism
  • Glucose / metabolism
  • Glucose / pharmacology
  • High-Throughput Screening Assays
  • Humans
  • Insulin Secretion
  • Insulin* / metabolism
  • Insulin, Regular, Human / metabolism
  • Mice
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods

Substances

  • Insulin
  • Glucose
  • Insulin, Regular, Human

Grants and funding

This research was funded by the Conseil Régional Hauts de France and I-SITE ULNE (grant StartAIRR, INS-spect, DOS0085690/00), Société d’Accéleration du Transfert de Technologie (SATT Nord, grant BETA and Ins-spect), the National Research Agency (ANR-17-CE14-0034), Institut Pasteur de Lille (grant CPER CTRL Melodie), Fondation pour la Recherche Médicale (grant EQU202103012732), INSERM, Université de Lille, Métropole Européenne de Lille and Société Francophone du Diabète.