The challenges of achieving postprandial glucose control using closed‐loop systems in patients with type 1 diabetes
Open accessAbstract
For patients with type 1 diabetes, closed‐loop delivery systems ( CLS ) combining an insulin pump, a glucose sensor and a dosing algorithm allowing a dynamic hormonal infusion have been shown to improve glucose control when compared with conventional therapy. Yet, reducing glucose excursion and simplification of prandial insulin doses remain a challenge. The objective of this literature review is to examine current meal‐time strategies in the context of automated delivery systems in adults and children with type 1 diabetes. Current challenges and considerations for post‐meal glucose control will also be discussed. Despite promising results with meal detection, the fully automated CLS has yet failed to provide comparable glucose control to CLS with carbohydrate‐matched bolus in the post‐meal period. The latter strategy has been efficient in controlling post‐meal glucose using different algorithms and in various settings, but at the cost of a meal carbohydrate counting burden for patients. Further improvements in meal detection algorithms or simplified meal‐priming boluses may represent interesting avenues. The greatest challenges remain in regards to the pharmacokinetic and dynamic profiles of available rapid insulins as well as sensor accuracy and lag‐time. New and upcoming faster acting insulins could provide important benefits. Multi‐hormone CLS (eg, dual‐hormone combining insulin with glucagon or pramlintide) and adjunctive therapy (eg, GLP ‐1 and SGLT 2 inhibitors) also represent promising options. Meal glucose control with the artificial pancreas remains an important challenge for which the optimal strategy is still to be determined.
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Current algorithms are primarily responsive to immediate glycemic changes and may not fully compensate for delayed carbohydrate absorption, especially from meals rich in fat and protein that can induce delayed hyperglycemia.
“However, current algorithms are primarily responsive to immediate glycemic changes and may not fully compensate for delayed carbohydrate absorption, especially from meals rich in fat and protein that can induce delayed hyperglycemia [131, 132, 158].”
From Diabetic gastroparesis: pathophysiology and impact on insulin timing choices (2026) · cites this paper as [158]
The ‘Nutrient absorption and impact of other macronutrients’ section reports prolonged hyperglycemia after fat- and protein-rich meals and increased glucose after a high-fat meal using a closed-loop system (page not provided). The ‘Insulin PK/PD’ section describes reactive insulin delivery and difficulty controlling post-meal excursions. But the paper does not establish that current algorithms fail to compensate for the delayed effects of fat and protein; it says closed-loop systems may have time to adjust and that studies are needed. (LLM, conf=0.85)
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Cites
Continuous glucose monitoring and intensive treatment of type 1 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0805017 · Cited by 1,559 · see citing works
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Postprandial Glucose Regulation and Diabetic Complications
Ceriello, A. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.19.2090 · Cited by 362 · cited 2× · see citing works
“Controlling postprandial glucose excursions is identified as a key component of achieving a recommended HbA1c.2,18 The 2-hours post-meal glucose target in individuals with T1D is between 5 and 10 mmol/L in most patients.2,19 CHO content of meals is the main determinant of postprandial glucose excursion.20,21 Consequen…”
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Sorted by citations
Tagougui, S., Taleb, N., Legault, L., Suppère, C., Messier, V., Boukabous, I., Shohoudi, A., Ladouceur, M., & Rabasa-Lhoret, R. (2020) · Diabetologia · doi:10.1007/s00125-020-05244-y · Cited by 40 · see citing works
Self-citationDiabetic gastroparesis: pathophysiology and impact on insulin timing choices
Galeano, F., Tumminia, A., Oteri, V., Le Moli, R., Piticchio, T., Scilletta, S., Di Marco, M., Di Pino, A., & Frasca, F. (2026) · Endocrine · doi:10.1007/s12020-026-04693-6
“These systems improve time in range and reduce hypoglycemia in the context of highly variable gastric emptying, although manual meal-related adjustments remain necessary due to delayed carbohydrate absorption and insulin pharmacokinetics [158–161].”
- Authors
- Gingras, V., Taleb, N., Roy‐Fleming, A., Legault, L., & Rabasa‐Lhoret, R.
- Affiliations
- Montreal Clinical Research Institute (CA)
- Montreal Children's Hospital (CA)
- Metabolic Diseases Unit Institut de Recherches Cliniques de Montréal Montréal Québec Canada
- Venue
- Diabetes, Obesity and Metabolism
- Publisher
- Wiley
- Published
- 2017-08-10
- Volume
- 20
- Issue
- 2
- Pages
- 245-256
- ISSN
- 1462-8902 (ISSN-L)
- 1463-1326
- PMC
- PMC5810921
- OpenAlex
- W2728705426
- Cited by
- 113
- References
- 7
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 10 · 2023: 11 · 2022: 14 · 2021: 13 · 2020: 15 · 2019: 10 · 2018: 13 · 2017: 4 · 2016: 1
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Diabetes Obesity and Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- Juvenile Diabetes Research Foundation International
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- type 1 diabetes, closed-loop systems, artificial pancreas, postprandial glucose control, pramlintide, glucagon, GLP-1 receptor agonists, SGLT2 inhibitors, rapid-acting insulin, sensor accuracy, insulin pump, children and adults
- MeSH terms
- Adult, Algorithms, Blood Glucose, Child, Combined Modality Therapy, Diabetes Mellitus, Type 1, Diet, Diabetic, Humans, Hyperglycemia, Hypoglycemia, Pancreas, Artificial, Postprandial Period, Meals
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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