Scientific article
OA Policy
English

Metabolomics identifies a biomarker revealing in vivo loss of functional ß-cell mass before diabetes onset

Published inDiabetes, vol. 68, no. 12, p. 2272-2286
Publication date2019
Abstract

Identification of pre-diabetic individuals with decreased functional ß-cell mass is essential for the prevention of diabetes. However, in vivo detection of early asymptomatic ß-cell defect remains unsuccessful. Metabolomics emerged as a powerful tool in providing read-outs of early disease states before clinical manifestation. We aimed at identifying novel plasma biomarkers for loss of functional ß-cell mass in the asymptomatic pre-diabetic stage. Non-targeted and targeted metabolomics were applied on both lean ß-Phb2-/- mice (ß-cell-specific prohibitin-2 knockout) and obese db/db mice (leptin receptor mutant), two distinct mouse models requiring neither chemical nor diet treatments to induce spontaneous decline of functional ß-cell mass promoting progressive diabetes development. Non-targeted metabolomics on ß-Phb2-/- mice identified 48 and 82 significantly affected metabolites in liver and plasma, respectively. Machine learning analysis pointed to deoxyhexose sugars consistently reduced at the asymptomatic pre-diabetic stage, including in db/db mice, showing strong correlation with the gradual loss of ß-cells. Further targeted metabolomics by GC-MS uncovered the identity of the deoxyhexose with 1,5-anhydroglucitol displaying the most significant changes. In conclusion, this study identified 1,5-anhydroglucitol associated with the loss of functional ß-cell mass and uncovered metabolic similarities between liver and plasma, providing insights into the systemic effects caused by early decline in ß-cells.

Funding
  • Swiss National Science Foundation - Sinergia #CRSII3_147637
Citation (ISO format)
LI, Lingzi et al. Metabolomics identifies a biomarker revealing in vivo loss of functional ß-cell mass before diabetes onset. In: Diabetes, 2019, vol. 68, n° 12, p. 2272–2286. doi: 10.2337/db19-0131
Main files (1)
Article (Accepted version)
accessLevelPublic
Identifiers
Journal ISSN0012-1797
396views
1090downloads

Technical informations

Creation04/11/2019 13:36:00
First validation04/11/2019 13:36:00
Update15/03/2023 18:21:21
Status update15/03/2023 18:21:20
Last indexation31/10/2024 16:51:53
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack