Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk. / Hulman, Adam; Simmons, Rebecca Kate; Vistisen, Dorte; Tabák, Adam G; Dekker, Jacqueline M; Alssema, Marjan; Rutters, Femke; Koopman, Anitra D M; Solomon, Thomas P J; Kirwan, John P; Hansen, Torben; Jonsson, Anna Elisabet; Gjesing, Anette Marianne Prior; Eiberg, Hans Rudolf Lytchoff; Astrup, Arne; Pedersen, Oluf Borbye; Sørensen, Thorkild I.A.; Witte, Daniel; Færch, Kristine.

In: Endocrine, Vol. 55, No. 2, 2017, p. 427-434.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hulman, A, Simmons, RK, Vistisen, D, Tabák, AG, Dekker, JM, Alssema, M, Rutters, F, Koopman, ADM, Solomon, TPJ, Kirwan, JP, Hansen, T, Jonsson, AE, Gjesing, AMP, Eiberg, HRL, Astrup, A, Pedersen, OB, Sørensen, TIA, Witte, D & Færch, K 2017, 'Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk', Endocrine, vol. 55, no. 2, pp. 427-434. https://doi.org/10.1007/s12020-016-1126-z

APA

Hulman, A., Simmons, R. K., Vistisen, D., Tabák, A. G., Dekker, J. M., Alssema, M., ... Færch, K. (2017). Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk. Endocrine, 55(2), 427-434. https://doi.org/10.1007/s12020-016-1126-z

Vancouver

Hulman A, Simmons RK, Vistisen D, Tabák AG, Dekker JM, Alssema M et al. Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk. Endocrine. 2017;55(2):427-434. https://doi.org/10.1007/s12020-016-1126-z

Author

Hulman, Adam ; Simmons, Rebecca Kate ; Vistisen, Dorte ; Tabák, Adam G ; Dekker, Jacqueline M ; Alssema, Marjan ; Rutters, Femke ; Koopman, Anitra D M ; Solomon, Thomas P J ; Kirwan, John P ; Hansen, Torben ; Jonsson, Anna Elisabet ; Gjesing, Anette Marianne Prior ; Eiberg, Hans Rudolf Lytchoff ; Astrup, Arne ; Pedersen, Oluf Borbye ; Sørensen, Thorkild I.A. ; Witte, Daniel ; Færch, Kristine. / Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk. In: Endocrine. 2017 ; Vol. 55, No. 2. pp. 427-434.

Bibtex

@article{42293531eacf44ddb33fc224f45cef85,
title = "Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk",
abstract = "We aimed to examine heterogeneity in glucose response curves during an oral glucose tolerance test with multiple measurements and to compare cardiometabolic risk profiles between identified glucose response curve groups.We analyzed data from 1,267 individuals without diabetes from five studies in Denmark, the Netherlands and the USA. Each study included between 5 and 11 measurements at different time points during a 2-h oral glucose tolerance test,resulting in 9,602 plasma glucose measurements. Latent class trajectories with a cubic specification for time were fitted to identify different patterns of plasma glucose change during the oral glucose tolerance test. Cardiometabolic riskfactor profiles were compared between the identified groups. Using latent class trajectory analysis, five glucose response curves were identified. Despite similar fasting and 2-h values, glucose peaks and peak times varied greatly between groups, ranging from 7–12 mmol/L, and 35–70 min. The group with the lowest and earliest plasma glucose peak had the lowest estimated cardiovascular risk, while the group with the most delayed plasma glucose peak and the highest 2-h value had the highest estimated risk. One group, with normal fasting and 2-h values, exhibited an unusual profile, with the highest glucose peak and the highest proportion of smokers and men. The heterogeneity in glucose response curves and the distinct cardiometabolic risk profiles may reflect different underlying physiologies. Our results warrant more detailed studies to identify the source of the heterogeneity across the different phenotypes and whether these differences play a role in the development of type 2 diabetes and cardiovascular disease.",
keywords = "The Faculty of Science, Oral glucose tolerance test, Glucose response curve, Cardiometabolic risk, Latent class trajectory analysis",
author = "Adam Hulman and Simmons, {Rebecca Kate} and Dorte Vistisen and Tab{\'a}k, {Adam G} and Dekker, {Jacqueline M} and Marjan Alssema and Femke Rutters and Koopman, {Anitra D M} and Solomon, {Thomas P J} and Kirwan, {John P} and Torben Hansen and Jonsson, {Anna Elisabet} and Gjesing, {Anette Marianne Prior} and Eiberg, {Hans Rudolf Lytchoff} and Arne Astrup and Pedersen, {Oluf Borbye} and S{\o}rensen, {Thorkild I.A.} and Daniel Witte and Kristine F{\ae}rch",
note = "CURIS 2017 NEXS 042",
year = "2017",
doi = "10.1007/s12020-016-1126-z",
language = "English",
volume = "55",
pages = "427--434",
journal = "Endocrine",
issn = "1355-008X",
publisher = "Humana Press",
number = "2",

}

RIS

TY - JOUR

T1 - Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk

AU - Hulman, Adam

AU - Simmons, Rebecca Kate

AU - Vistisen, Dorte

AU - Tabák, Adam G

AU - Dekker, Jacqueline M

AU - Alssema, Marjan

AU - Rutters, Femke

AU - Koopman, Anitra D M

AU - Solomon, Thomas P J

AU - Kirwan, John P

AU - Hansen, Torben

AU - Jonsson, Anna Elisabet

AU - Gjesing, Anette Marianne Prior

AU - Eiberg, Hans Rudolf Lytchoff

AU - Astrup, Arne

AU - Pedersen, Oluf Borbye

AU - Sørensen, Thorkild I.A.

AU - Witte, Daniel

AU - Færch, Kristine

N1 - CURIS 2017 NEXS 042

PY - 2017

Y1 - 2017

N2 - We aimed to examine heterogeneity in glucose response curves during an oral glucose tolerance test with multiple measurements and to compare cardiometabolic risk profiles between identified glucose response curve groups.We analyzed data from 1,267 individuals without diabetes from five studies in Denmark, the Netherlands and the USA. Each study included between 5 and 11 measurements at different time points during a 2-h oral glucose tolerance test,resulting in 9,602 plasma glucose measurements. Latent class trajectories with a cubic specification for time were fitted to identify different patterns of plasma glucose change during the oral glucose tolerance test. Cardiometabolic riskfactor profiles were compared between the identified groups. Using latent class trajectory analysis, five glucose response curves were identified. Despite similar fasting and 2-h values, glucose peaks and peak times varied greatly between groups, ranging from 7–12 mmol/L, and 35–70 min. The group with the lowest and earliest plasma glucose peak had the lowest estimated cardiovascular risk, while the group with the most delayed plasma glucose peak and the highest 2-h value had the highest estimated risk. One group, with normal fasting and 2-h values, exhibited an unusual profile, with the highest glucose peak and the highest proportion of smokers and men. The heterogeneity in glucose response curves and the distinct cardiometabolic risk profiles may reflect different underlying physiologies. Our results warrant more detailed studies to identify the source of the heterogeneity across the different phenotypes and whether these differences play a role in the development of type 2 diabetes and cardiovascular disease.

AB - We aimed to examine heterogeneity in glucose response curves during an oral glucose tolerance test with multiple measurements and to compare cardiometabolic risk profiles between identified glucose response curve groups.We analyzed data from 1,267 individuals without diabetes from five studies in Denmark, the Netherlands and the USA. Each study included between 5 and 11 measurements at different time points during a 2-h oral glucose tolerance test,resulting in 9,602 plasma glucose measurements. Latent class trajectories with a cubic specification for time were fitted to identify different patterns of plasma glucose change during the oral glucose tolerance test. Cardiometabolic riskfactor profiles were compared between the identified groups. Using latent class trajectory analysis, five glucose response curves were identified. Despite similar fasting and 2-h values, glucose peaks and peak times varied greatly between groups, ranging from 7–12 mmol/L, and 35–70 min. The group with the lowest and earliest plasma glucose peak had the lowest estimated cardiovascular risk, while the group with the most delayed plasma glucose peak and the highest 2-h value had the highest estimated risk. One group, with normal fasting and 2-h values, exhibited an unusual profile, with the highest glucose peak and the highest proportion of smokers and men. The heterogeneity in glucose response curves and the distinct cardiometabolic risk profiles may reflect different underlying physiologies. Our results warrant more detailed studies to identify the source of the heterogeneity across the different phenotypes and whether these differences play a role in the development of type 2 diabetes and cardiovascular disease.

KW - The Faculty of Science

KW - Oral glucose tolerance test

KW - Glucose response curve

KW - Cardiometabolic risk

KW - Latent class trajectory analysis

U2 - 10.1007/s12020-016-1126-z

DO - 10.1007/s12020-016-1126-z

M3 - Journal article

VL - 55

SP - 427

EP - 434

JO - Endocrine

JF - Endocrine

SN - 1355-008X

IS - 2

ER -

ID: 166662524