Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study

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Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study. / Wang, Wenyi; van Dijk, Ko Willems; Wijsman, Carolien A.; Rozing, Maarten P.; Mooijaart, Simon P.; Beekman, Marian; Slagboom, P. Eline; Jukema, J. Wouter; Noordam, Raymond; van Heemst, Diana.

I: Metabolomics, Bind 17, Nr. 6, 57, 2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Wang, W, van Dijk, KW, Wijsman, CA, Rozing, MP, Mooijaart, SP, Beekman, M, Slagboom, PE, Jukema, JW, Noordam, R & van Heemst, D 2021, 'Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study', Metabolomics, bind 17, nr. 6, 57. https://doi.org/10.1007/s11306-021-01806-2

APA

Wang, W., van Dijk, K. W., Wijsman, C. A., Rozing, M. P., Mooijaart, S. P., Beekman, M., Slagboom, P. E., Jukema, J. W., Noordam, R., & van Heemst, D. (2021). Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study. Metabolomics, 17(6), [57]. https://doi.org/10.1007/s11306-021-01806-2

Vancouver

Wang W, van Dijk KW, Wijsman CA, Rozing MP, Mooijaart SP, Beekman M o.a. Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study. Metabolomics. 2021;17(6). 57. https://doi.org/10.1007/s11306-021-01806-2

Author

Wang, Wenyi ; van Dijk, Ko Willems ; Wijsman, Carolien A. ; Rozing, Maarten P. ; Mooijaart, Simon P. ; Beekman, Marian ; Slagboom, P. Eline ; Jukema, J. Wouter ; Noordam, Raymond ; van Heemst, Diana. / Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study. I: Metabolomics. 2021 ; Bind 17, Nr. 6.

Bibtex

@article{9f6a06cf2cf24a4486877354721150b0,
title = "Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study",
abstract = "Background: Insulin is the key regulator of glucose metabolism, but it is difficult to dissect direct insulin from glucose-induced effects. We aimed to investigate the effects of hyperinsulemia on metabolomic measures under euglycemic conditions in nondiabetic participants. Methods: We assessed concentrations of 151 metabolomic measures throughout a two-step hyperinsulinemic euglycemic clamp procedure. We included 24 participants (50% women, mean age = 62 [s.d. = 4.2] years) and metabolomic measures were assessed under baseline, low-dose (10 mU/m2/min) and high-dose (40 mU/m2/min) insulin conditions. The effects of low- and high-dose insulin infusion on metabolomic measures were analyzed using linear mixed-effect models for repeated measures. Results: After low-dose insulin infusion, 90 metabolomic measures changed in concentration (p < 1.34e−4), among which glycerol (beta [Confidence Interval] = − 1.41 [− 1.54, − 1.27] s.d., p = 1.28e−95) and three-hydroxybutyrate (− 1.22 [− 1.36, − 1.07] s.d., p = 1.44e−61) showed largest effect sizes. After high-dose insulin infusion, 121 metabolomic measures changed in concentration, among which branched-chain amino acids showed the largest additional decrease compared with low-dose insulin infusion (e.g., Leucine, − 1.78 [− 1.88, − 1.69] s.d., P = 2.7e−295). More specifically, after low- and high-dose insulin infusion, the distribution of the lipoproteins shifted towards more LDL-sized particles with decreased mean diameters. Conclusion: Metabolomic measures are differentially insulin sensitive and may thus be differentially affected by the development of insulin resistance. Moreover, our data suggests insulin directly affects metabolomic measures previously associated with increased cardiovascular disease risk.",
keywords = "Hyperinsulinemic euglycemic clamp study, Insulin resistance, Metabolomic measures",
author = "Wenyi Wang and {van Dijk}, {Ko Willems} and Wijsman, {Carolien A.} and Rozing, {Maarten P.} and Mooijaart, {Simon P.} and Marian Beekman and Slagboom, {P. Eline} and Jukema, {J. Wouter} and Raymond Noordam and {van Heemst}, Diana",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
doi = "10.1007/s11306-021-01806-2",
language = "English",
volume = "17",
journal = "Metabolomics",
issn = "1573-3882",
publisher = "Springer",
number = "6",

}

RIS

TY - JOUR

T1 - Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study

AU - Wang, Wenyi

AU - van Dijk, Ko Willems

AU - Wijsman, Carolien A.

AU - Rozing, Maarten P.

AU - Mooijaart, Simon P.

AU - Beekman, Marian

AU - Slagboom, P. Eline

AU - Jukema, J. Wouter

AU - Noordam, Raymond

AU - van Heemst, Diana

N1 - Publisher Copyright: © 2021, The Author(s).

PY - 2021

Y1 - 2021

N2 - Background: Insulin is the key regulator of glucose metabolism, but it is difficult to dissect direct insulin from glucose-induced effects. We aimed to investigate the effects of hyperinsulemia on metabolomic measures under euglycemic conditions in nondiabetic participants. Methods: We assessed concentrations of 151 metabolomic measures throughout a two-step hyperinsulinemic euglycemic clamp procedure. We included 24 participants (50% women, mean age = 62 [s.d. = 4.2] years) and metabolomic measures were assessed under baseline, low-dose (10 mU/m2/min) and high-dose (40 mU/m2/min) insulin conditions. The effects of low- and high-dose insulin infusion on metabolomic measures were analyzed using linear mixed-effect models for repeated measures. Results: After low-dose insulin infusion, 90 metabolomic measures changed in concentration (p < 1.34e−4), among which glycerol (beta [Confidence Interval] = − 1.41 [− 1.54, − 1.27] s.d., p = 1.28e−95) and three-hydroxybutyrate (− 1.22 [− 1.36, − 1.07] s.d., p = 1.44e−61) showed largest effect sizes. After high-dose insulin infusion, 121 metabolomic measures changed in concentration, among which branched-chain amino acids showed the largest additional decrease compared with low-dose insulin infusion (e.g., Leucine, − 1.78 [− 1.88, − 1.69] s.d., P = 2.7e−295). More specifically, after low- and high-dose insulin infusion, the distribution of the lipoproteins shifted towards more LDL-sized particles with decreased mean diameters. Conclusion: Metabolomic measures are differentially insulin sensitive and may thus be differentially affected by the development of insulin resistance. Moreover, our data suggests insulin directly affects metabolomic measures previously associated with increased cardiovascular disease risk.

AB - Background: Insulin is the key regulator of glucose metabolism, but it is difficult to dissect direct insulin from glucose-induced effects. We aimed to investigate the effects of hyperinsulemia on metabolomic measures under euglycemic conditions in nondiabetic participants. Methods: We assessed concentrations of 151 metabolomic measures throughout a two-step hyperinsulinemic euglycemic clamp procedure. We included 24 participants (50% women, mean age = 62 [s.d. = 4.2] years) and metabolomic measures were assessed under baseline, low-dose (10 mU/m2/min) and high-dose (40 mU/m2/min) insulin conditions. The effects of low- and high-dose insulin infusion on metabolomic measures were analyzed using linear mixed-effect models for repeated measures. Results: After low-dose insulin infusion, 90 metabolomic measures changed in concentration (p < 1.34e−4), among which glycerol (beta [Confidence Interval] = − 1.41 [− 1.54, − 1.27] s.d., p = 1.28e−95) and three-hydroxybutyrate (− 1.22 [− 1.36, − 1.07] s.d., p = 1.44e−61) showed largest effect sizes. After high-dose insulin infusion, 121 metabolomic measures changed in concentration, among which branched-chain amino acids showed the largest additional decrease compared with low-dose insulin infusion (e.g., Leucine, − 1.78 [− 1.88, − 1.69] s.d., P = 2.7e−295). More specifically, after low- and high-dose insulin infusion, the distribution of the lipoproteins shifted towards more LDL-sized particles with decreased mean diameters. Conclusion: Metabolomic measures are differentially insulin sensitive and may thus be differentially affected by the development of insulin resistance. Moreover, our data suggests insulin directly affects metabolomic measures previously associated with increased cardiovascular disease risk.

KW - Hyperinsulinemic euglycemic clamp study

KW - Insulin resistance

KW - Metabolomic measures

U2 - 10.1007/s11306-021-01806-2

DO - 10.1007/s11306-021-01806-2

M3 - Journal article

C2 - 34106350

AN - SCOPUS:85107403180

VL - 17

JO - Metabolomics

JF - Metabolomics

SN - 1573-3882

IS - 6

M1 - 57

ER -

ID: 272170470