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Food Order Has a Significant Impact on Postprandial Glucose and Insulin Levels
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Postprandial hyperglycemia is an important therapeutic target for optimizing glycemic control and for mitigating the proatherogenic vascular environment characteristic of type 2 diabetes. Existing evidence indicates that the quantity and type of carbohydrate consumed influence blood glucose levels and that the total amount of carbohydrate consumed is the primary predictor of glycemic response (1). Previous studies have shown that premeal ingestion of whey protein, as well as altering the macronutrient composition of a meal, reduces postmeal glucose levels (2–4). There are limited data, however, regarding the effect of food order on postprandial glycemia in patients with type 2 diabetes (5). In this pilot study, we sought to examine the effect of food order, using a typical Western meal, incorporating vegetables, protein, and carbohydrate, on postprandial glucose and insulin excursions in overweight/obese adults with type 2 diabetes. A total of 11 subjects (6 female, 5 male) with metformin-treated type 2 diabetes were studied …
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“Data suggest that nutrient order during a meal significantly impacts postprandial glucose and insulin excursions in type 2 diabetes, while its’ effects in prediabetes have not been reported.”
From The impact of food order on postprandial glycaemic excursions in prediabetes (2019) · cites this paper as [12]
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“There is some evidence suggesting that premeal consumption of nutrients such as water, fat, protein, or fiber as “preloads” delay the rate of postprandial glucose absorption from the small intestine and attenuate insulin secretion and glucose excursions [74,180,181,182,183,184,185].”
From Effects of diet, lifestyle, Chrononutrition and alternative dietary interventions on postprandial Glycemia and insulin resistance (2022) · cites this paper as [183]
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Dietary Carbohydrate (Amount and Type) in the Prevention and Management of Diabetes
Sheard, N. F., Clark, N. G., Brand-Miller, J. C., Franz, M. J., Pi-Sunyer, F. X., Mayer-Davis, E., Kulkarni, K., & Geil, P. (2004) · Diabetes Care · doi:10.2337/diacare.27.9.2266 · Cited by 475
Frid, A. H., Nilsson, M., Holst, J. J., & Björck, I. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn.82.1.69 · Cited by 389
Jakubowicz, D. J., Froy, O., Åhrén, B., Boaz, M., Landau, Z., Bar‐Dayan, Y., Ganz, T., Barnea, M., & Wainstein, J. (2014) · Diabetologia · doi:10.1007/s00125-014-3305-x · Cited by 158
Metabolic response of people with type 2 diabetes to a high protein diet
Nuttall, F. Q., & Gannon, M. C. (2004) · Nutrition & Metabolism · doi:10.1186/1743-7075-1-6 · Cited by 71
Imai, S., & Kajiyama, S. (2010) · Cited by 7
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Dimitriadis, G. D., Maratou, E., Kountouri, A., Board, M., & Lambadiari, V. (2021) · Nutrients · doi:10.3390/nu13010159 · Cited by 241
Papakonstantinou, E., Oikonomou, C., Nychas, G., & Dimitriadis, G. D. (2022) · Nutrients · doi:10.3390/nu14040823 · Cited by 199
Dietary and policy priorities to reduce the global crises of obesity and diabetes
Mozaffarian, D. (2020) · Nature Food · doi:10.1038/s43016-019-0013-1 · Cited by 135
Optimal prandial timing of bolus insulin in diabetes management: a review
Slattery, D., Amiel, S. A., & Choudhary, P. (2018) · Diabetic Medicine · doi:10.1111/dme.13525 · Cited by 132
Carbohydrate-last meal pattern lowers postprandial glucose and insulin excursions in type 2 diabetes
Shukla, A. P., Andono, J., Touhamy, S. H., Casper, A., Iliescu, R. G., Mauer, E., Shan Zhu, Y., Ludwig, D. S., & Aronne, L. J. (2017) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2017-000440 · Cited by 96
Self-citationRegulation and function of insulin and insulin-like growth factor receptor signalling
Choi, E., Duan, C., & Bai, X. (2025) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-025-00826-3 · Cited by 102
Glycemic Variability and CNS Inflammation: Reviewing the Connection
Watt, C., RANGEL, E. S., & Hwang, J. J. (2020) · Nutrients · doi:10.3390/nu12123906 · Cited by 89
Provenza, F. D., Meuret, M., & Gregorini, P. (2015) · Appetite · doi:10.1016/j.appet.2015.08.004 · Cited by 72
The impact of food order on postprandial glycaemic excursions in prediabetes
Shukla, A. P., Dickison, M., Coughlin, N., Karan, A., Mauer, E., Truong, W., Casper, A., Emiliano, A. B., Kumar, R. B., Saunders, K. H., et al. (2019) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13503 · Cited by 66
Self-citationProteomic predictors of individualized nutrient-specific insulin secretion in health and disease
Kolic, J., Sun, W. G., Cen, H. H., Ewald, J., Rogalski, J. C., Sasaki, S., Sun, H., Rajesh, V., Xia, Y. H., Moravcova, R., et al. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.06.001 · Cited by 65
Pairing flavours and the temporal order of tasting
Spence, C. J., Wang, Q. J., & Youssef, J. (2017) · Flavour · doi:10.1186/s13411-017-0053-0 · Cited by 60
Nesti, L., Mengozzi, A., & Tricò, D. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00144 · Cited by 53
Tricò, D., Filice, E., Trifirò, S., & Natali, A. (2016) · Nutrition & Diabetes · doi:10.1038/nutd.2016.33 · Cited by 47
Dias, J. S., & Imai, S. (2017) · Revista de llengua i dret · doi:10.58992/rld.i85.2026.4588 · Cited by 47
Starches in Rice: Effects of Rice Variety and Processing/Cooking Methods on Their Glycemic Index
Farooq, M. A., & Yu, J. (2025) · Foods · doi:10.3390/foods14122022 · Cited by 51
Imai, S., Kajiyama, S., Hashimoto, Y., Yamane, C., Miyawaki, T., Ozasa, N., Tanaka, M., & Fukui, M. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.05.010 · Cited by 43
Nutrient Timing: A Garage Door of Opportunity?
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Culinary strategies to manage glycemic response in people with type 2 diabetes: A narrative review
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Possible Ways to Improve Postprandial Glucose Control in Type 1 Diabetes
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Tricò, D., Frascerra, S., Baldi, S., Mengozzi, A., Nesti, L., Mari, A., & Natali, A. (2018) · European Journal of Nutrition · doi:10.1007/s00394-018-1778-y · Cited by 32
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Lau, Z. C., Yusof, B. N. M., Zukiman, W. Z. H. H. W., Abas, F., & Wahab, N. A. (2019) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2019.05.026 · Cited by 26
NISHINO, K., Sakurai, M., Takeshita, Y., & Takamura, T. (2018) · Journal of Nutritional Science and Vitaminology · doi:10.3177/jnsv.64.316 · Cited by 22
Nitta, A., Imai, S., Kajiayama, S., Matsuda, M., Miyawaki, T., Matsumoto, S., Kajiyama, S., Hashimoto, Y., Ozasa, N., & Fukui, M. (2022) · Nutrients · doi:10.3390/nu14142865 · Cited by 21
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Kang, D., Li, J., Leshed, G., Rzeszotarski, J. M., & Lu, X. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713619 · Cited by 20
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Salis, S. S., Joseph, M., Agarwala, A., Sharma, R., Kapoor, N., & Irani, A. J. (2020) · Pediatric Diabetes · doi:10.1111/pedi.13080 · Cited by 15
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Huang, X., Schmelter, F., Uhlig, A., Irshad, M. T., Nisar, M. A., Piet, A., Jablonski, L., Witt, O., Schröder, T., Sina, C., et al. (2024) · Intelligent Medicine · doi:10.1016/j.imed.2024.05.002 · Cited by 13
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Hakim, B. N. A., Yahya, H. M., Shahar, S., Manaf, Z. A., & Damanhuri, H. A. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16224464 · Cited by 14
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Mogul, H. R., Freeman, R., & Nguyen, K. (2016) · Endocrine Practice · doi:10.4158/ep151087.or · Cited by 11
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Qin, Y., Aqeel, M. M., Zhu, F. M., Delp, E. J., & Eicher‐Miller, H. A. (2021) · Nutrients · doi:10.3390/nu13041179 · Cited by 9
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Mohan, V., Misra, A., Bhansali, A., Singh, A. K., Makkar, B. M., Krishnan, D., Chadha, M. D., Shah, P., Samaddar, R., Saraogi, R. K., et al. (2023) · Journal of the Association of Physicians of India · doi:10.59556/japi.71.0339 · Cited by 8
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Ko, J., Moon, S., Ajjan, R. A., Lee, M. Y., Lee, H., Choi, B., Park, J., Lee, S., Kang, J., & Park, C. (2025) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.16304 · Cited by 7
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Sawicki, P., Muda, R., Goral, K., Skrzypek, M., Wiśniewska, K., Bieniak, M., & Ginszt, M. (2019) · Physiology & Behavior · doi:10.1016/j.physbeh.2019.112619 · Cited by 5
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Hengist, A., Ong, J. A., McNeel, K., Guo, J., & Hall, K. D. (2024) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2024.103636 · Cited by 5
Pafili, Z., & Dimosthenopoulos, C. (2021) · HORMONES · doi:10.1007/s42000-021-00314-1 · Cited by 4
Taga, M., Yohizumi, K., Kobayashi, H., & Iwamoto, N. (2025) · Functional Foods in Health and Disease · doi:10.31989/ffhd.v15i12.1807 · Cited by 3
Deguchi, K., Aoshima, M., Hiraiwa, E., Ono, C., Ushiroda, C., Yamamoto-Wada, R., Yoshida, M., & Iizuka, K. (2025) · Nutrients · doi:10.3390/nu17091576 · Cited by 3
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Savkin, A. V., & Feng, X. (2026) · IET Control Theory and Applications · doi:10.1049/cth2.70113 · Cited by 2
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Ida, S., Imataka, K., Morii, S., & Murata, K. (2024) · BMC Nutrition · doi:10.1186/s40795-024-00928-9 · Cited by 2
Liu, Y., Jiang, H., Ruan, B., Liu, Y., Le, S., Fu, X., & Wang, S. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.925870 · Cited by 3
Imai, S., Fukui, M., & Kajiyama, S. (2015) · Diabetes Care · doi:10.2337/dc15-1472 · Cited by 2
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Ijaz, S., Akram, I., Tabassum, I., Farooq, M., Sidra-tul-Muntaha, S.-T.-M., Aslam, M., Ejaz, F., & Waseef, M. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns10.13775 · Cited by 1
Bipat, R., Magali, I., Soekhoe, R., & Toelsie, J. R. (2023) · Medical Research Archives · doi:10.18103/mra.v11i4.3739 · Cited by 1
Belani, J. D. (2026) · Nutrients · doi:10.3390/nu18152578 · Cited by 1
Widyasari, D. E., Sugiarto, & Indarto, D. (2021) · International Conference on Health and Medical Sciences (AHMS) · doi:10.2991/ahsr.k.210127.029 · Cited by 1
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Sato, K., Yamakata, Y., Amano, S., & Aizawa, K. (2022) · ACM International Conference on Multimedia in Asia (MMAsia) · doi:10.1145/3551626.3564964 · Cited by 1
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Vedova, D. D. (2022) · Integrated science · doi:10.1007/978-3-030-94651-7_25 · Cited by 1
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Bae, J. H., & Cho, Y. M. (2018) · Journal of Korean Diabetes · doi:10.4093/jkd.2018.19.4.193 · Cited by 1
Shinohara, K., Izumiya, K., Nomura, S., & Yasoshima, Y. (2022) · Physiology & Behavior · doi:10.1016/j.physbeh.2022.113865 · Cited by 1
Shukla, A. P., & Aronne, L. J. (2015) · Diabetes Care · doi:10.2337/dci15-0010
Self-citationScherbaum, W. A. (2016) · Der Diabetologe · doi:10.1007/s11428-016-0111-8
Infante, M., & Fabbri, A. (2020) · L Endocrinologo · doi:10.1007/s40619-020-00662-x
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Pachocka, L. M. (2021) · Przeglad Epidemiologiczny · doi:10.32394/pe.74.59
Wada, M., Torigoe, K., Yoshinaga, Y., Miyazaki, M., Kayoko, S. E. T. O., & MATSUMOTO, Y. (2022) · Japanese Journal of Complementary and Alternative Medicine · doi:10.1625/jcam.19.51
Gutierrez-Martinez, I., Ramos-Rodriguez, A., Diaz-Perez, E., Ordoñez-Jarillo, J., Matehuala-Morán, I., & Alfaro-Ponce, M. (2023) · IEEE EMBS R9 Conference · doi:10.1109/ieeeconf60929.2023.10525616
Ida, S., Imataka, K., Azuma, K., Ôkubo, K., Morii, M., & Murata, K. (2024) · Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics · doi:10.3143/geriatrics.61.186
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Bitari, A., Touzani, R., Hammouti, B., & LEGSSYER, A. (2024) · An-Najah University Journal for Research - B (Humanities) · doi:10.35552/0247.38.10.2268
Rajabathar, S. (2024) · International Journal of Engineering in Computer Science · doi:10.33545/26633582.2024.v6.i2c.139
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Callejas, L. M. S., Ratan, P., Pasqualotto, E., KODALAK, S., Bovi, T. G., & Trevisan, T. (2025) · Acta Diabetologica · doi:10.1007/s00592-025-02586-0
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Kirov, C. (2025) · International Scientific Congress "Applied Sports Sciences" (ICASS) · doi:10.37393/icass2025/49
Salis, S. S., Sanghvi, A., Vora, N., Syed, S., Karkera, P., Padmanabh, P., Lansink, M., Isabelle, M., Khan, S., Gaglani, R., et al. (2025) · Diabetes Therapy · doi:10.1007/s13300-025-01834-4
Imataka, K., Ida, S., Tanaka, T., Azuma, K., & Murata, K. (2026) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s555812
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Metadata
- Authors
- Shukla, A. P., Iliescu, R. G., Thomas, C. E., & Aronne, L. J.
- Affiliations
- Weill Cornell Medicine (US)
- Corresponding author
- Shukla, Alpana P.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2015-06-11
- Volume
- 38
- Issue
- 7
- Pages
- e98-e99
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC4876745
- OpenAlex
- W2098825026
- Cited by
- 104
- References
- 6
- Citations by year
- 2026: 15 · 2025: 11 · 2024: 11 · 2023: 7 · 2022: 15 · 2021: 7 · 2020: 8 · 2019: 6 · 2018: 9 · 2017: 6 · 2016: 6 · 2015: 3
- FWCI
- 6.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (UL1TR000457)
- Weill Cornell Medical College (UL1 TR000457)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- postprandial blood glucose, postprandial insulin, type 2 diabetes, postprandial hyperglycemia, meal composition, overweight and obesity, glycemic control
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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