Impact of Dietary Fat and Menstrual Cycle Phases in Type 1 Diabetes
DIABETEXX/3
Effect of Gender and Meal Composition on the Postprandial Glycemic Response in People With Type 1 Diabetes: Impact of Fat Content and Menstrual Cycle Phases
1 other identifier
interventional
50
1 country
1
Brief Summary
This clinical trial aims to evaluate how variations in dietary fat content and hormonal status influence postprandial glycemic response in individuals with type 1 diabetes (T1D), with a special focus on women. The main objective is to clarify the impact of both factors individually and their interaction, which could inform more personalized strategies for insulin adjustment, optimizing glycemic control, and improving patient outcomes. The main objective is to investigate the effects of low-fat versus high-fat meals, sex, menstrual cycle phases, and their interaction on postprandial glycemic control in adults with T1D treated with advanced hybrid closed-loop (AHCL) insulin delivery systems. Specifically, the study will:
- Compare postprandial glycemic responses after standardized low and high-fat meals in men and women with T1D.
- Assess the differences in postprandial glycemic responses between early follicular and late luteal phases in women, using standardized meals with low and high fat content.
- Identify sex-related differences in glycemic response after equivalent meals. This research addresses the unmet clinical need for precise, tailored postprandial insulin dosing recommendations, especially among women whose insulin sensitivity fluctuates with menstrual phases. The results may contribute to sex-specific predictive models in AHCL systems, reducing acute complications and improving overall quality of life. This is a randomized controlled crossover trial in which each participant serves as her/his own control. Fifty adults will be enrolled: 25 women and 25 men. Women will undergo four mixed-meal tests in random order:
- low-fat given during the early follicular phase,
- high-fat given during the early follicular phase,
- low-fat given during the late luteal phase,
- high-fat given during the late luteal phase. The menstrual phase will be confirmed with home-based hormonal monitoring devices that function with urine sample and use a single-use test wand (MIRA system). Men will complete two mixed-meal tests (low-fat and high-fat), in randomized order. All meals will be standardized for carbohydrate content and matched in other macronutrients, except for fat (with a 30-40g difference), administered after an 8-hour fast. The day of the mixed meal test, AHCL systems will be switched from automatic to manual mode just before eating to standardize the prandial insulin dose and to avoid differences in insulin infusion rates in the postprandial state due to algorithm compensations. Continuous glucose monitoring (CGM) and hourly capillary glucose testing will measure the postprandial response. Additional fasting blood samples will assess metabolic, hormonal, and lipid markers. Optional gastric emptying studies may be performed to exclude confounding gastroparesis in selected patients. Participants will be recruited from the endocrinology outpatient unit of La Fe Polytechnic University Hospital . The projected recruitment period is from December 2025 to July 2027, with mixed-meal tests and data collection occurring between January 2026 and December 2027. Women are expected to complete the protocol in 6 weeks (4 tests), while men will require about 2 weeks (2 tests). At baseline, participants will undergo blood tests to rule out endocrine disorders and confirm sex hormone status. Women participating in the study will use the MIRA home device to monitor their hormonal levels, allowing them to accurately determine and record the phases of their menstrual cycle as part of the study protocol. During meal tests, CGM (Freestyle Libre 3) will be used uniformly among subjects. The study dependent variables will be the following:
- Postprandial glucose area under the curve - AUC\_PG\_5h
- Mean glucose level - MG
- Continuous glucose monitoring metrics - TIR, TAR, TBR
- Postprandial glucose standard deviation - SD
- Postprandial glucose coefficient of variation - CV
- Mean amplitude of glycemic excursions - MAGE
- Mean of daily differences (MODD) Independent variables are
- Type of food: Meals with either low or high fat content.
- Sex and Hormonal status: men; women during the early follicular phase; women during the late luteal phase. If successful, this study will inform the development of more sophisticated, individualized insulin dosing algorithms and AHCL system improvements, especially for women with T1D. Results may lead to more effective management strategies, reduced GV, lower incidence of complications, and increased quality of life. Insights may directly support the personalization of diabetes care and improve gender equity in treatment standards.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started May 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 29, 2025
CompletedFirst Posted
Study publicly available on registry
December 11, 2025
CompletedStudy Start
First participant enrolled
May 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
April 1, 2028
March 23, 2026
November 1, 2025
1.4 years
November 29, 2025
March 20, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Postprandial glucose area under the curve (AUC_PG_5h)
Postprandial glucose effect of the interaction between fat intake and hormonal condition. Difference in the area under de curve during 5 hour period as a function of the fat content of the meal and the hormonal condition, expressed in mg·h/dL: Post prandial AUC\_PG\_5h in female subjects, follicular phase, low fat: FFL\_AUC\_PG\_5h Post prandial AUC\_PG\_5h in female subjects, follicular phase, high fat: FFH\_AUC\_PG\_5h Post prandial AUC\_PG\_5h in female subjects, luteal phase, low fat: FLL\_AUC\_PG\_5h Post prandial AUC\_PG\_5h in female subjects, luteal phase, high fat: FLH\_AUC\_PG\_5h Post prandial AUC\_PG\_5h in male subjects, low fat: ML\_AUC\_PG\_5h Post prandial AUC\_PG\_5h in male subjects, high fat: MH\_AUC\_PG\_5h
5 hours after each mixed-meal test.
Secondary Outcomes (8)
Mean glucose level (MG)
5 hours after mixed-meal test.
Time in range (TIR)
5 hours after mixed-meal test
Time above range (TAR)
5 hours after mixed-meal test
Time below range (TBR)
5 hours after mixed-meal test
Postprandial glucose standard deviation (SD)
5 hours after mixed-meal test.
- +3 more secondary outcomes
Study Arms (3)
Female1
OTHERFemale patients in early follicular phase
Female2
OTHERFemale patients in late luteal phase
Male
OTHERMale patients
Interventions
The patients will eat a standardized meal designed to evaluate how their blood glucose responds to food intake under controlled conditions. This meal contains a balanced proportion of carbohydrates, proteins, and a low fat content.
The patients will eat a standardized meal designed to evaluate how their blood glucose responds to food intake under controlled conditions. This meal contains a balanced proportion of carbohydrates, proteins, and a high fat content.
Eligibility Criteria
You may qualify if:
- Patients with a confirmed diagnosis of type 1 diabetes mellitus for more than 2 years, in treatment with AHCL (Advanced Hybrid Closed Loop) system treatment for at least 6 months.
- Both sexes.
- Metabolic control with HbA1c \<8%.
- BMI between 18.5 and 29.99 (normal weight to overweight).
- For women: regular menstrual cycles (21-35 days in length with variation between cycles of \<4 days) and no use of hormonal contraceptive treatment.
You may not qualify if:
- Diagnosis of diabetic gastroparesis.
- Presence of hypogonadism, anovulation, hyperandrogenism, hyperprolactinemia, pregnancy, or decompensated chronic diseases.
- Use of oral medications that alter glucose metabolism.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Instituto de Investigacion Sanitaria La Felead
- Universitat Politècnica de Valènciacollaborator
- Hospital Universitario La Fecollaborator
Study Sites (1)
Hospital la Fe
Valencia, Valencia, 46026, Spain
Related Publications (29)
Monroy G, Picon-Cesar MJ, Garcia-Aleman J, Tinahones FJ, Martinez-Montoro JI. Glycemic Control Across the Menstrual Cycle in Women with Type 1 Diabetes Using the MiniMed 780G Advanced Hybrid Closed-Loop System: The 780MENS Prospective Study. Diabetes Technol Ther. 2025 May;27(5):395-401. doi: 10.1089/dia.2024.0522. Epub 2025 Jan 16.
PMID: 39898554BACKGROUNDMesa A, Sola C, Vinagre I, Roca D, Granados M, Pueyo I, Cabre C, Conget I, Gimenez M. Impact of an Advanced Hybrid Closed-Loop System on Glycemic Control Throughout the Menstrual Cycle in Women with Type 1 Diabetes Prone to Hypoglycemia. Diabetes Technol Ther. 2024 Sep;26(9):667-672. doi: 10.1089/dia.2023.0571. Epub 2024 May 10.
PMID: 38441905BACKGROUNDLevy CJ, O'Malley G, Raghinaru D, Kudva YC, Laffel LM, Pinsker JE, Lum JW, Brown SA; iDCL Trial Research Group. Insulin Delivery and Glucose Variability Throughout the Menstrual Cycle on Closed Loop Control for Women with Type 1 Diabetes. Diabetes Technol Ther. 2022 May;24(5):357-361. doi: 10.1089/dia.2021.0431. Epub 2022 Feb 21.
PMID: 35099294BACKGROUNDTrout KK, Rickels MR, Schutta MH, Petrova M, Freeman EW, Tkacs NC, Teff KL. Menstrual cycle effects on insulin sensitivity in women with type 1 diabetes: a pilot study. Diabetes Technol Ther. 2007 Apr;9(2):176-82. doi: 10.1089/dia.2006.0004.
PMID: 17425444BACKGROUNDTatulashvili S, Baptiste Julla J, Sritharan N, Rezgani I, Levy V, Bihan H, Riveline JP, Cosson E. Ambulatory Glucose Profile According to Different Phases of the Menstrual Cycle in Women Living With Type 1 Diabetes. J Clin Endocrinol Metab. 2022 Sep 28;107(10):2793-2800. doi: 10.1210/clinem/dgac443.
PMID: 35869507BACKGROUNDBrown SA, Jiang B, McElwee-Malloy M, Wakeman C, Breton MD. Fluctuations of Hyperglycemia and Insulin Sensitivity Are Linked to Menstrual Cycle Phases in Women With T1D. J Diabetes Sci Technol. 2015 Oct 14;9(6):1192-9. doi: 10.1177/1932296815608400.
PMID: 26468135BACKGROUNDHerranz L, Saez-de-Ibarra L, Hillman N, Gaspar R, Pallardo LF. [Glycemic changes during menstrual cycles in women with type 1 diabetes]. Med Clin (Barc). 2016 Apr 1;146(7):287-91. doi: 10.1016/j.medcli.2015.11.044. Epub 2016 Feb 18. Spanish.
PMID: 26897501BACKGROUNDBarata DS, Adan LF, Netto EM, Ramalho AC. The effect of the menstrual cycle on glucose control in women with type 1 diabetes evaluated using a continuous glucose monitoring system. Diabetes Care. 2013 May;36(5):e70. doi: 10.2337/dc12-2248. No abstract available.
PMID: 23613610BACKGROUNDGoldner WS, Kraus VL, Sivitz WI, Hunter SK, Dillon JS. Cyclic changes in glycemia assessed by continuous glucose monitoring system during multiple complete menstrual cycles in women with type 1 diabetes. Diabetes Technol Ther. 2004 Aug;6(4):473-80. doi: 10.1089/1520915041705875.
PMID: 15321002BACKGROUNDGamarra E, Trimboli P. Menstrual Cycle, Glucose Control and Insulin Sensitivity in Type 1 Diabetes: A Systematic Review. J Pers Med. 2023 Feb 20;13(2):374. doi: 10.3390/jpm13020374.
PMID: 36836608BACKGROUNDConcepcion Zavaleta MJ, Gonzales Yovera JG, Moreno Marreros DM, Rafael Robles LDP, Palomino Taype KR, Soto Galvez KN, Arriola Torres LF, Coronado Arroyo JC, Concepcion Urteaga LA. Diabetic gastroenteropathy: An underdiagnosed complication. World J Diabetes. 2021 Jun 15;12(6):794-809. doi: 10.4239/wjd.v12.i6.794.
PMID: 34168729BACKGROUNDHorowitz M, O'Donovan D, Jones KL, Feinle C, Rayner CK, Samsom M. Gastric emptying in diabetes: clinical significance and treatment. Diabet Med. 2002 Mar;19(3):177-94. doi: 10.1046/j.1464-5491.2002.00658.x.
PMID: 11918620BACKGROUNDAigner L, Becker B, Gerken S, Quast DR, Meier JJ, Nauck MA. Day-to-Day Variations in Fasting Plasma Glucose Do Not Influence Gastric Emptying in Subjects With Type 1 Diabetes. Diabetes Care. 2021 Feb;44(2):479-488. doi: 10.2337/dc20-1660. Epub 2020 Dec 7.
PMID: 33288653BACKGROUNDMashali G, Kaul A, Khoury J, Corsiglia J, Dolan LM, Shah AS. Screening for Gastric Sensory Motor Abnormalities in Pediatric Patients With Type 1 Diabetes. Endocr Pract. 2023 Mar;29(3):168-173. doi: 10.1016/j.eprac.2022.12.014. Epub 2022 Dec 23.
PMID: 36572278BACKGROUNDBartholome R, Salden B, Vrolijk MF, Troost FJ, Masclee A, Bast A, Haenen GR. Paracetamol as a Post Prandial Marker for Gastric Emptying, A Food-Drug Interaction on Absorption. PLoS One. 2015 Sep 9;10(9):e0136618. doi: 10.1371/journal.pone.0136618. eCollection 2015.
PMID: 26352940BACKGROUNDCai Y, Li M, Zhang L, Zhang J, Su H. The effect of the modified fat-protein unit algorithm compared with that of carbohydrate counting on postprandial glucose in adults with type-1 diabetes when consuming meals with differing macronutrient compositions: a randomized crossover trial. Nutr Metab (Lond). 2023 Oct 16;20(1):43. doi: 10.1186/s12986-023-00757-w.
PMID: 37845717BACKGROUNDSmith TA, Smart CE, Fuery MEJ, Howley PP, Knight BA, Harris M, King BR. In children and young people with type 1 diabetes using Pump therapy, an additional 40% of the insulin dose for a high-fat, high-protein breakfast improves postprandial glycaemic excursions: A cross-over trial. Diabet Med. 2021 Jul;38(7):e14511. doi: 10.1111/dme.14511. Epub 2021 Feb 3.
PMID: 33405297BACKGROUNDGillingham MB, Marak MC, Riddell MC, Calhoun P, Gal RL, Patton SR, Jacobs PG, Castle JR, Clements MA, Doyle FJ, Rickels MR, Martin CK. The Association Between Diet Quality and Glycemic Outcomes Among People with Type 1 Diabetes. Curr Dev Nutr. 2024 Mar 26;8(4):102146. doi: 10.1016/j.cdnut.2024.102146. eCollection 2024 Apr.
PMID: 38638557BACKGROUNDColasanto A, Savastio S, Pozzi E, Gorla C, Coisson JD, Arlorio M, Rabbone I. The Impact of Different Types of Rice and Cooking on Postprandial Glycemic Trends in Children with Type 1 Diabetes with or without Celiac Disease. Nutrients. 2023 Mar 29;15(7):1654. doi: 10.3390/nu15071654.
PMID: 37049494BACKGROUNDLodefalk M, Aman J, Bang P. Effects of fat supplementation on glycaemic response and gastric emptying in adolescents with Type 1 diabetes. Diabet Med. 2008 Sep;25(9):1030-5. doi: 10.1111/j.1464-5491.2008.02530.x.
PMID: 19183308BACKGROUNDAbdou M, Hafez MH, Anwar GM, Fahmy WA, Abd Alfattah NM, Salem RI, Arafa N. Effect of high protein and fat diet on postprandial blood glucose levels in children and adolescents with type 1 diabetes in Cairo, Egypt. Diabetes Metab Syndr. 2021 Jan-Feb;15(1):7-12. doi: 10.1016/j.dsx.2020.11.020. Epub 2020 Nov 26.
PMID: 33276255BACKGROUNDWolpert HA, Atakov-Castillo A, Smith SA, Steil GM. Dietary fat acutely increases glucose concentrations and insulin requirements in patients with type 1 diabetes: implications for carbohydrate-based bolus dose calculation and intensive diabetes management. Diabetes Care. 2013 Apr;36(4):810-6. doi: 10.2337/dc12-0092. Epub 2012 Nov 27.
PMID: 23193216BACKGROUNDGaronzi C, Forsander G, Maffeis C. Impact of Fat Intake on Blood Glucose Control and Cardiovascular Risk Factors in Children and Adolescents with Type 1 Diabetes. Nutrients. 2021 Jul 29;13(8):2625. doi: 10.3390/nu13082625.
PMID: 34444784BACKGROUNDBell KJ, Fio CZ, Twigg S, Duke SA, Fulcher G, Alexander K, McGill M, Wong J, Brand-Miller J, Steil GM. Amount and Type of Dietary Fat, Postprandial Glycemia, and Insulin Requirements in Type 1 Diabetes: A Randomized Within-Subject Trial. Diabetes Care. 2020 Jan;43(1):59-66. doi: 10.2337/dc19-0687. Epub 2019 Aug 27.
PMID: 31455688BACKGROUNDGarcia A, Moscardo V, Ramos-Prol A, Diaz J, Boronat M, Bondia J, Rossetti P. Effect of meal composition and alcohol consumption on postprandial glucose concentration in subjects with type 1 diabetes: a randomized crossover trial. BMJ Open Diabetes Res Care. 2021 Oct;9(1):e002399. doi: 10.1136/bmjdrc-2021-002399.
PMID: 34620620BACKGROUNDde Wit DF, Fuhri Snethlage CM, Rampanelli E, Maasen K, Walpot N, van Raalte DH, Nieuwdorp M, Soeters MR, Hanssen NMJ. Higher fibre and lower carbohydrate intake are associated with favourable CGM metrics in a cross-sectional cohort of 470 individuals with type 1 diabetes. Diabetologia. 2024 Oct;67(10):2199-2209. doi: 10.1007/s00125-024-06213-5. Epub 2024 Jul 5.
PMID: 38967668BACKGROUNDLupoli R, Pisano F, Capaldo B. Postprandial Glucose Control in Type 1 Diabetes: Importance of the Gastric Emptying Rate. Nutrients. 2019 Jul 10;11(7):1559. doi: 10.3390/nu11071559.
PMID: 31295897BACKGROUNDVetrani C, Calabrese I, Cavagnuolo L, Pacella D, Napolano E, Di Rienzo S, Riccardi G, Rivellese AA, Annuzzi G, Bozzetto L. Dietary determinants of postprandial blood glucose control in adults with type 1 diabetes on a hybrid closed-loop system. Diabetologia. 2022 Jan;65(1):79-87. doi: 10.1007/s00125-021-05587-0. Epub 2021 Oct 23.
PMID: 34689215BACKGROUNDZeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001.
PMID: 26590418BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Researcher
Study Record Dates
First Submitted
November 29, 2025
First Posted
December 11, 2025
Study Start
May 1, 2026
Primary Completion (Estimated)
October 1, 2027
Study Completion (Estimated)
April 1, 2028
Last Updated
March 23, 2026
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will not share