ArticleNutrients2023
Serum Metabolomics Reveals a Potential Benefit of Methionine in Type 1 Diabetes Patients with Poor Glycemic Control and High Glycemic Variability.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Metabolomic signatures of glycemic control in type 1 diabetes: insights from continuous glucose monitoring.Journal of endocrinological investigation · 2026Article
- Effects of high-intensity interval training on metabolic impairments in liver tissue of rats with type 2 diabetes: a metabolomics-based approach.Journal of physiology and biochemistry · 2025Article
- Metabolic shifts in plasma amino acids and related metabolites in response to SGLT2 inhibition and hyperglycemia in type 1 diabetes.Physiological reports · 2025Article
- A preliminary study on the early warning role of DL-malic acid in atrial fibrillation occurrence among patients with hyperuricemia.Frontiers in cardiovascular medicine · 2025Article
- Federated multimodal AI for precision-equitable diabetes care.Frontiers in digital health · 2025Review
- Machine learning approach reveals microbiome, metabolome, and lipidome profiles in type 1 diabetes.Journal of advanced research · 2024Article
- The effect of high-intensity interval training on type 2 diabetic muscle: A metabolomics-based study.Heliyon · 2024Article
- Nutritional Factors: Benefits in Glaucoma and Ophthalmologic Pathologies.Life (Basel, Switzerland) · 2023Review
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Authors and funding
9 authors at 1 institution in 1 country.
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Abstract
Glycemic variability (GV) in some patients with type 1 diabetes (T1D) remains heterogeneous despite comparable clinical indicators, and whether other factors are involved is yet unknown. Metabolites in the serum indicate a broad effect of GV on cellular metabolism and therefore are more likely to indicate metabolic dysregulation associated with T1D. To compare the metabolomic profiles between high GV (GV-H, coefficient of variation (CV) of glucose ≥ 36%) and low GV (GV-L, CV < 36%) groups and to identify potential GV biomarkers, metabolomics profiling was carried out on serum samples from 17 patients with high GV, 16 matched (for age, sex, body mass index (BMI), diabetes duration, insulin dose, glycated hemoglobin (HbA1c), fasting, and 2 h postprandial C-peptide) patients with low GV (exploratory set), and another 21 (GV-H/GV-L: 11/10) matched patients (validation set). Subsequently, 25 metabolites were significantly enriched in seven Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways between the GV-H and GV-L groups in the exploratory set. Only the differences in spermidine, L-methionine, and trehalose remained significant after validation. The area under the curve of these three metabolites combined in distinguishing GV-H from GV-L was 0.952 and 0.918 in the exploratory and validation sets, respectively. L-methionine was significantly inversely related to HbA1c and glucose CV, while spermidine was significantly positively associated with glucose CV. Differences in trehalose were not as reliable as those in spermidine and L-methionine because of the relatively low amounts of trehalose and the inconsistent fold change sizes in the exploratory and validation sets. Our findings suggest that metabolomic disturbances may impact the GV of T1D. Additional in vitro and in vivo mechanistic studies are required to elucidate the relationship between spermidine and L-methionine levels and GV in T1D patients with different geographical and nutritional backgrounds.
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