Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study

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Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion : A DIRECT study. / Gudmundsdottir, Valborg; Pedersen, Helle Krogh; Allebrandt, Karla Viviani; Brorsson, Caroline Anna; van Leeuwen, Nienke; Banasik, Karina; Mahajan, Anubha; Groves, Christopher J; van de Bunt, Martijn; Dawed, Adem Y; Fritsche, Andreas; Staiger, Harald; Simonis-Bik, Annemarie M C; Deelen, Joris; Kramer, Mark H H; Dietrich, Axel; Hübschle, Thomas; Willemsen, Gonneke; Häring, Hans-Ulrich; de Geus, Eco J C; Boomsma, Dorret I; Eekhoff, Elisabeth M W; Ferrer, Jorge; McCarthy, Mark I; Pearson, Ewan R; Gupta, Ramneek; Brunak, Søren; 't Hart, Leen M.

In: P L o S One, Vol. 13, No. 1, e0189886, 2018, p. 1-19.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Gudmundsdottir, V, Pedersen, HK, Allebrandt, KV, Brorsson, CA, van Leeuwen, N, Banasik, K, Mahajan, A, Groves, CJ, van de Bunt, M, Dawed, AY, Fritsche, A, Staiger, H, Simonis-Bik, AMC, Deelen, J, Kramer, MHH, Dietrich, A, Hübschle, T, Willemsen, G, Häring, H-U, de Geus, EJC, Boomsma, DI, Eekhoff, EMW, Ferrer, J, McCarthy, MI, Pearson, ER, Gupta, R, Brunak, S & 't Hart, LM 2018, 'Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study', P L o S One, vol. 13, no. 1, e0189886, pp. 1-19. https://doi.org/10.1371/journal.pone.0189886

APA

Gudmundsdottir, V., Pedersen, H. K., Allebrandt, K. V., Brorsson, C. A., van Leeuwen, N., Banasik, K., Mahajan, A., Groves, C. J., van de Bunt, M., Dawed, A. Y., Fritsche, A., Staiger, H., Simonis-Bik, A. M. C., Deelen, J., Kramer, M. H. H., Dietrich, A., Hübschle, T., Willemsen, G., Häring, H-U., ... 't Hart, L. M. (2018). Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study. P L o S One, 13(1), 1-19. [e0189886]. https://doi.org/10.1371/journal.pone.0189886

Vancouver

Gudmundsdottir V, Pedersen HK, Allebrandt KV, Brorsson CA, van Leeuwen N, Banasik K et al. Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study. P L o S One. 2018;13(1):1-19. e0189886. https://doi.org/10.1371/journal.pone.0189886

Author

Gudmundsdottir, Valborg ; Pedersen, Helle Krogh ; Allebrandt, Karla Viviani ; Brorsson, Caroline Anna ; van Leeuwen, Nienke ; Banasik, Karina ; Mahajan, Anubha ; Groves, Christopher J ; van de Bunt, Martijn ; Dawed, Adem Y ; Fritsche, Andreas ; Staiger, Harald ; Simonis-Bik, Annemarie M C ; Deelen, Joris ; Kramer, Mark H H ; Dietrich, Axel ; Hübschle, Thomas ; Willemsen, Gonneke ; Häring, Hans-Ulrich ; de Geus, Eco J C ; Boomsma, Dorret I ; Eekhoff, Elisabeth M W ; Ferrer, Jorge ; McCarthy, Mark I ; Pearson, Ewan R ; Gupta, Ramneek ; Brunak, Søren ; 't Hart, Leen M. / Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion : A DIRECT study. In: P L o S One. 2018 ; Vol. 13, No. 1. pp. 1-19.

Bibtex

@article{e29199be07af4f11968d7f880cbc46a9,
title = "Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study",
abstract = "Glucagon-like peptide 1 (GLP-1) stimulated insulin secretion has a considerable heritable component as estimated from twin studies, yet few genetic variants influencing this phenotype have been identified. We performed the first genome-wide association study (GWAS) of GLP-1 stimulated insulin secretion in non-diabetic individuals from the Netherlands Twin register (n = 126). This GWAS was enhanced using a tissue-specific protein-protein interaction network approach. We identified a beta-cell protein-protein interaction module that was significantly enriched for low gene scores based on the GWAS P-values and found support at the network level in an independent cohort from T{\"u}bingen, Germany (n = 100). Additionally, a polygenic risk score based on SNPs prioritized from the network was associated (P < 0.05) with glucose-stimulated insulin secretion phenotypes in up to 5,318 individuals in MAGIC cohorts. The network contains both known and novel genes in the context of insulin secretion and is enriched for members of the focal adhesion, extracellular-matrix receptor interaction, actin cytoskeleton regulation, Rap1 and PI3K-Akt signaling pathways. Adipose tissue is, like the beta-cell, one of the target tissues of GLP-1 and we thus hypothesized that similar networks might be functional in both tissues. In order to verify peripheral effects of GLP-1 stimulation, we compared the transcriptome profiling of ob/ob mice treated with liraglutide, a clinically used GLP-1 receptor agonist, versus baseline controls. Some of the upstream regulators of differentially expressed genes in the white adipose tissue of ob/ob mice were also detected in the human beta-cell network of genes associated with GLP-1 stimulated insulin secretion. The findings provide biological insight into the mechanisms through which the effects of GLP-1 may be modulated and highlight a potential role of the beta-cell expressed genes RYR2, GDI2, KIAA0232, COL4A1 and COL4A2 in GLP-1 stimulated insulin secretion.",
keywords = "Animals, Glucagon-Like Peptide 1/metabolism, Humans, Insulin/secretion, Mice",
author = "Valborg Gudmundsdottir and Pedersen, {Helle Krogh} and Allebrandt, {Karla Viviani} and Brorsson, {Caroline Anna} and {van Leeuwen}, Nienke and Karina Banasik and Anubha Mahajan and Groves, {Christopher J} and {van de Bunt}, Martijn and Dawed, {Adem Y} and Andreas Fritsche and Harald Staiger and Simonis-Bik, {Annemarie M C} and Joris Deelen and Kramer, {Mark H H} and Axel Dietrich and Thomas H{\"u}bschle and Gonneke Willemsen and Hans-Ulrich H{\"a}ring and {de Geus}, {Eco J C} and Boomsma, {Dorret I} and Eekhoff, {Elisabeth M W} and Jorge Ferrer and McCarthy, {Mark I} and Pearson, {Ewan R} and Ramneek Gupta and S{\o}ren Brunak and {'t Hart}, {Leen M}",
year = "2018",
doi = "10.1371/journal.pone.0189886",
language = "English",
volume = "13",
pages = "1--19",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "1",

}

RIS

TY - JOUR

T1 - Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion

T2 - A DIRECT study

AU - Gudmundsdottir, Valborg

AU - Pedersen, Helle Krogh

AU - Allebrandt, Karla Viviani

AU - Brorsson, Caroline Anna

AU - van Leeuwen, Nienke

AU - Banasik, Karina

AU - Mahajan, Anubha

AU - Groves, Christopher J

AU - van de Bunt, Martijn

AU - Dawed, Adem Y

AU - Fritsche, Andreas

AU - Staiger, Harald

AU - Simonis-Bik, Annemarie M C

AU - Deelen, Joris

AU - Kramer, Mark H H

AU - Dietrich, Axel

AU - Hübschle, Thomas

AU - Willemsen, Gonneke

AU - Häring, Hans-Ulrich

AU - de Geus, Eco J C

AU - Boomsma, Dorret I

AU - Eekhoff, Elisabeth M W

AU - Ferrer, Jorge

AU - McCarthy, Mark I

AU - Pearson, Ewan R

AU - Gupta, Ramneek

AU - Brunak, Søren

AU - 't Hart, Leen M

PY - 2018

Y1 - 2018

N2 - Glucagon-like peptide 1 (GLP-1) stimulated insulin secretion has a considerable heritable component as estimated from twin studies, yet few genetic variants influencing this phenotype have been identified. We performed the first genome-wide association study (GWAS) of GLP-1 stimulated insulin secretion in non-diabetic individuals from the Netherlands Twin register (n = 126). This GWAS was enhanced using a tissue-specific protein-protein interaction network approach. We identified a beta-cell protein-protein interaction module that was significantly enriched for low gene scores based on the GWAS P-values and found support at the network level in an independent cohort from Tübingen, Germany (n = 100). Additionally, a polygenic risk score based on SNPs prioritized from the network was associated (P < 0.05) with glucose-stimulated insulin secretion phenotypes in up to 5,318 individuals in MAGIC cohorts. The network contains both known and novel genes in the context of insulin secretion and is enriched for members of the focal adhesion, extracellular-matrix receptor interaction, actin cytoskeleton regulation, Rap1 and PI3K-Akt signaling pathways. Adipose tissue is, like the beta-cell, one of the target tissues of GLP-1 and we thus hypothesized that similar networks might be functional in both tissues. In order to verify peripheral effects of GLP-1 stimulation, we compared the transcriptome profiling of ob/ob mice treated with liraglutide, a clinically used GLP-1 receptor agonist, versus baseline controls. Some of the upstream regulators of differentially expressed genes in the white adipose tissue of ob/ob mice were also detected in the human beta-cell network of genes associated with GLP-1 stimulated insulin secretion. The findings provide biological insight into the mechanisms through which the effects of GLP-1 may be modulated and highlight a potential role of the beta-cell expressed genes RYR2, GDI2, KIAA0232, COL4A1 and COL4A2 in GLP-1 stimulated insulin secretion.

AB - Glucagon-like peptide 1 (GLP-1) stimulated insulin secretion has a considerable heritable component as estimated from twin studies, yet few genetic variants influencing this phenotype have been identified. We performed the first genome-wide association study (GWAS) of GLP-1 stimulated insulin secretion in non-diabetic individuals from the Netherlands Twin register (n = 126). This GWAS was enhanced using a tissue-specific protein-protein interaction network approach. We identified a beta-cell protein-protein interaction module that was significantly enriched for low gene scores based on the GWAS P-values and found support at the network level in an independent cohort from Tübingen, Germany (n = 100). Additionally, a polygenic risk score based on SNPs prioritized from the network was associated (P < 0.05) with glucose-stimulated insulin secretion phenotypes in up to 5,318 individuals in MAGIC cohorts. The network contains both known and novel genes in the context of insulin secretion and is enriched for members of the focal adhesion, extracellular-matrix receptor interaction, actin cytoskeleton regulation, Rap1 and PI3K-Akt signaling pathways. Adipose tissue is, like the beta-cell, one of the target tissues of GLP-1 and we thus hypothesized that similar networks might be functional in both tissues. In order to verify peripheral effects of GLP-1 stimulation, we compared the transcriptome profiling of ob/ob mice treated with liraglutide, a clinically used GLP-1 receptor agonist, versus baseline controls. Some of the upstream regulators of differentially expressed genes in the white adipose tissue of ob/ob mice were also detected in the human beta-cell network of genes associated with GLP-1 stimulated insulin secretion. The findings provide biological insight into the mechanisms through which the effects of GLP-1 may be modulated and highlight a potential role of the beta-cell expressed genes RYR2, GDI2, KIAA0232, COL4A1 and COL4A2 in GLP-1 stimulated insulin secretion.

KW - Animals

KW - Glucagon-Like Peptide 1/metabolism

KW - Humans

KW - Insulin/secretion

KW - Mice

U2 - 10.1371/journal.pone.0189886

DO - 10.1371/journal.pone.0189886

M3 - Journal article

C2 - 29293525

VL - 13

SP - 1

EP - 19

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 1

M1 - e0189886

ER -

ID: 191216247