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The goal of this observational study is to explore inter- and intra-individual determinants of postprandial glucose response in patients with type 1 diabetes using continous glucose monitoring (CGM).
Blood samples and anthropometrics will be collected during hospital visit. Participants will be asked to:
Postprandial glucose response (PGR) is a main determinant of blood glucose control in people with type 1 diabetes (T1D) and it's still difficult to manage also in patients treated with advanced technologies. Dietary composition of meals represents one of main determinant of PGR. However, growing evidence indicates that PGR to the ingestion of the same meal may significantly differ between individuals. This effect could be explained by non-nutritional determinants, including gut microbiota composition. On this background, the aim of the study is to investigate the relative contribution of intra- and inter-individual variability in determining PGR in individuals with type 1 diabetes.
Patients with T1D regularly attending the diabetes outpatient clinic of Federico II University Teaching Hospital, will be recruited. Participants' eating habits will be collected through a 7-day food record and the European Prospective Investigation into Cancer and Nutrition (EPIC) questionnaire. Fasting blood samples will be collected for the evaluation of serum short-chain fatty acids, zonulin, metabolomic, and epigenetics. Moreover, participants will be asked to collect at home a faecal sample to determine gut microbiota composition (16s RNA sequencing). Patients will be asked to complete web-based questionnaires on sleep hygiene (Pittsburgh Sleep Quality Index, Epworth).
Postprandial glucose response will be assessed by data derived from continuous glucose monitoring (CGM) used for clinical care.
The association between the PGR, calculated as incremental AUC using the trapezoidal method, and gut microbiota composition will be assessed. Moreover, the association between PGR, dietary composition, metabolomics and epigenetics will be investigated.
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| Measure | Description | Time Frame |
|---|---|---|
| Postprandial glucose response | Postprandial glucose response wil be calculated by the trapezoidal method as the area under the curve above the baseline value (iAUC). The association between iAUC and gut microbiota composition derived from the analysis of faeces samples will be assessed. The association between iAUC and energy intake and dietary composition derived from the analysis of 7-days food record and EPIC will be assessed. | Related to 7-days food record |
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Inclusion Criteria:
Exclusion Criteria:
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The study population will consist of individuals with type 1 diabetes using continuous glucose monitoring (CGM) and regularly attending the Diabetes Outpatient Clinic of Federico II University Teaching Hospital (Naples, Italy).
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Federico II University Hospital | Recruiting | Naples | 80131 | Italy |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 42341885 | Derived | Abuqwider J, Pasolli E, Scida G, Corrado A, Vitale M, Giosue A, Filippis F, Ercolini D, Annuzzi G, Rivellese AA, Bozzetto L. Ultra-processed food intake and its associations with atherogenic dyslipidemia, glycemic control, and gut microbiome features in adults with type 1 diabetes from Southern Italy. Diabetes Res Clin Pract. 2026 Jun 24:113373. doi: 10.1016/j.diabres.2026.113373. Online ahead of print. | |
| 41484024 |
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| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| D005247 | Feeding Behavior |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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whole blood, buffy coat, feces, serum, and plasma
| Derived |
| Abuqwider J, Pasolli E, Scida G, Corrado A, Vitale M, De Filippis F, Ercolini D, Annuzzi G, Rivellese AA, Bozzetto L. Gut microbiome profiles and associated functional pathways are linked to Mediterranean diet adherence and blood glucose control in adults with type 1 diabetes mellitus. Nutr Metab Cardiovasc Dis. 2026 Apr;36(4):104487. doi: 10.1016/j.numecd.2025.104487. Epub 2025 Dec 2. |
| 40379027 | Derived | D'Abbronzo G, Scida G, Quaglia C, Rivellese AA, Bozzetto L, Annuzzi G, Vitale M. Application-Based Bioelectrical Impedance Analysis Provides Accurate Body Composition Parameters in a More Cost-Efficient and Time-Efficient Way. J Nutr. 2025 Jul;155(7):2443-2448. doi: 10.1016/j.tjnut.2025.05.013. Epub 2025 May 14. |
| 40132856 | Derived | Abuqwider J, Salamone D, Scida G, Corrado A, Costabile G, Luongo D, Annuzzi G, Rivellese A, Bozzetto L. Sex-specific associations of serum short-chain fatty acids with glycaemic control: an Italian cross-sectional study in adults with type 1 diabetes. BMJ Open. 2025 Mar 24;15(3):e096994. doi: 10.1136/bmjopen-2024-096994. |
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
| D001522 | Behavior, Animal |
| D001519 | Behavior |