Abstract
Type 2 diabetes can be prevented by lifestyle intervention. We aimed to identify metabolites that associate with glucose metabolism and respond to lifestyle intervention with evidence-based targets for nutrition and physical activity in individuals at high risk of type 2 diabetes. Standard oral glucose tolerance test (OGTT) was used to categorize 624 participants into those having normal glucose tolerance (NGT), isolated impaired glucose tolerance (IGT), IGT with increased fasting glucose (IGT + IFG), and type 2 diabetes. Plasma LC-MS metabolomics was performed to reveal metabolic signatures. The baseline group differences were analysed with the Kruskal–Wallis test and the effect of intervention with a linear mixed-effects model. Significant differences in the metabolite signature were observed between the baseline groups, particularly in amino acids, acylcarnitines, and phospholipids. Fatty acid amides, phospholipids, amino acids, dimethylguanidinovaleric acid, and 5-aminovaleric acid betaine responded most to the lifestyle intervention. Lysophosphatidylcholines containing odd-chain fatty acids showed associations with improved glucose metabolism. Twenty-five metabolites differed between the baseline groups, responded to the intervention, and were associated with changes in glucose metabolism. The findings suggest a metabolite panel could be used in distinguishing individuals with varying degrees of glucose metabolism and in predicting response to lifestyle interventions.
| Original language | English |
|---|---|
| Article number | 39093 |
| Journal | Scientific Reports |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 7 Nov 2025 |
| MoE publication type | A1 Journal article-refereed |
Funding
Mrs. Miia Reponen (School of Pharmacy, University of Eastern Finland) is acknowledged for technical assistance. We appreciate Biocentre Finland and Biocentre Kuopio for supporting LC-MS laboratory facility. We acknowledge the health and social care workers in the three participating regions (Hospital districts of North Savo, Päijät-Häme and South Karelia) and the stakeholders of the StopDia project (Ministry of Social Affairs and Health, Finnish Social Security Institute Kela, Regional councils of North Savo and Päijät-Häme, Cities of Kuopio, Varkaus, and Siilinjärvi, Ylä-Savon SOTE, Finnish Heart Association, Finnish Diabetes Association, Family Federation of Finland, Association of Finnish Pharmacies, Consumers’ Union of Finland, Etera Mutual Pension Insurance Company, Agency for Rural Affairs Mavi and its partner organisations, Self-care and Digital Value Services project ODA) for participating in planning the recruitment of the participants and the intervention. We acknowledge Juho Viitasalo and Juha Kekäläinen from the University of Eastern Finland for their extensive work in the development of the StopDia digital tools. We also acknowledge Tiina Laatikainen, Kennet Harald, Markku Peltonen, Pekka Jousilahti, Katri Hemiö, Maliheh Nekouei, Marvi Langari, Eeva Virtanen, and Riia Järvenpää from the National Institute for Health and Welfare; Saara Vanhatalo, Johanna Leväsluoto, Adil Umer, Juha Leppänen, Samuli Heinonen, and Eeva Rantala from the Technical Research Centre of Finland VTT; Kari Jalkanen and Matti Uusitupa from the University of Eastern Finland; and Jaakko Tuomilehto from the University of Helsinki for their role in the development of the StopDia protocols and for participating in the project. We also thank the international advisory board of the StopDia project, including professors Edith Feskens, Theresa Marteau, and Peter Schwarz. The LC-MS analysis was supported by Biocenter Finland.
Keywords
- Acylcarnitines
- Amino acids
- Fatty acid amides
- Impaired glucose metabolism
- Metabolomics
- Personalized treatment
- Phospholipids
- Life Style
- Glucose Tolerance Test
- Humans
- Middle Aged
- Blood Glucose/metabolism
- Metabolome
- Male
- Glucose Intolerance/metabolism
- Phospholipids/blood
- Exercise
- Female
- Diabetes Mellitus, Type 2/metabolism
- Adult
- Aged
- Glucose/metabolism
- Metabolomics/methods