IGF-1 and IGFBP-1 as Possible Predictors of Response to Lifestyle Intervention—Results from Randomized Controlled Trials

Nina M.T. Meyer; Stefan Kabisch; Ulrike Dambeck; Caroline Honsek; Margrit Kemper; Christiana Gerbracht; Ayman M. Arafat; Andreas L. Birkenfeld; Peter E.H. Schwarz; Jürgen Machann; Martin A. Osterhoff; Martin O. Weickert; Andreas F.H. Pfeiffer

doi:10.3390/ijms25126400

IGF-1 and IGFBP-1 as Possible Predictors of Response to Lifestyle Intervention—Results from Randomized Controlled Trials

Nina M.T. Meyer, Stefan Kabisch, Ulrike Dambeck, Caroline Honsek, Margrit Kemper, Christiana Gerbracht, Ayman M. Arafat, Andreas L. Birkenfeld, Peter E.H. Schwarz, Jürgen Machann, Martin A. Osterhoff, Martin O. Weickert, Andreas F.H. Pfeiffer^*

^*Corresponding author for this work

SCMMS Denmark Hill

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Lifestyle interventions can prevent type 2 diabetes (T2DM). However, some individuals do not experience anticipated improvements despite weight loss. Biomarkers to identify such individuals at early stages are lacking. Insulin-like growth factor 1 (IGF- 1) and Insulin-like growth factor binding protein 1(IGFBP-1) were shown to predict T2DM onset in prediabetes. We assessed whether these markers also predict the success of lifestyle interventions, thereby possibly guiding personalized strategies. We analyzed the fasting serum levels of IGF-1, IGFBP-1, and Insulin-like growth factor binding protein 2 (IGFBP-2) in relation to changes in metabolic and anthropometric parameters, including intrahepatic lipids (IHLs) and visceral adipose tissue (VAT) volume, measured by magnetic resonance imaging (MRI), in 345 participants with a high risk for prediabetes (54% female; aged 36–80 years). Participants were enrolled in three randomized dietary intervention trials and assessed both at baseline and one year post-intervention. Statistical analyses were performed using IBM SPSS Statistics (version 28), and significance was set at p < 0.05. Within the 1-year intervention, overall significant improvements were observed. Stratifying individuals by baseline IGF-1 and IGFBP-1 percentiles revealed significant differences: higher IGF-1 levels were associated with more favorable changes compared to lower levels, especially in VAT and IHL. Lower baseline IGFBP-1 levels were associated with greater improvements, especially in IHL and 2 h glucose. Higher bioactive IGF-1 levels might predict better metabolic outcomes following lifestyle interventions in prediabetes, potentially serving as biomarkers for personalized interventions.

Original language	English
Article number	6400
Journal	International Journal of Molecular Sciences
Volume	25
Issue number	12
DOIs	https://doi.org/10.3390/ijms25126400
Publication status	Published - Jun 2024

Keywords

IGF axis
intervention response
lifestyle intervention
prediabetes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/ijms25126400

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Meyer, N. M. T., Kabisch, S., Dambeck, U., Honsek, C., Kemper, M., Gerbracht, C., Arafat, A. M., Birkenfeld, A. L., Schwarz, P. E. H., Machann, J., Osterhoff, M. A., Weickert, M. O., & Pfeiffer, A. F. H. (2024). IGF-1 and IGFBP-1 as Possible Predictors of Response to Lifestyle Intervention—Results from Randomized Controlled Trials. International Journal of Molecular Sciences, 25(12), Article 6400. https://doi.org/10.3390/ijms25126400

@article{56a8804020ea41dda54f967577c3e0fb,

title = "IGF-1 and IGFBP-1 as Possible Predictors of Response to Lifestyle Intervention—Results from Randomized Controlled Trials",

abstract = "Lifestyle interventions can prevent type 2 diabetes (T2DM). However, some individuals do not experience anticipated improvements despite weight loss. Biomarkers to identify such individuals at early stages are lacking. Insulin-like growth factor 1 (IGF- 1) and Insulin-like growth factor binding protein 1(IGFBP-1) were shown to predict T2DM onset in prediabetes. We assessed whether these markers also predict the success of lifestyle interventions, thereby possibly guiding personalized strategies. We analyzed the fasting serum levels of IGF-1, IGFBP-1, and Insulin-like growth factor binding protein 2 (IGFBP-2) in relation to changes in metabolic and anthropometric parameters, including intrahepatic lipids (IHLs) and visceral adipose tissue (VAT) volume, measured by magnetic resonance imaging (MRI), in 345 participants with a high risk for prediabetes (54% female; aged 36–80 years). Participants were enrolled in three randomized dietary intervention trials and assessed both at baseline and one year post-intervention. Statistical analyses were performed using IBM SPSS Statistics (version 28), and significance was set at p < 0.05. Within the 1-year intervention, overall significant improvements were observed. Stratifying individuals by baseline IGF-1 and IGFBP-1 percentiles revealed significant differences: higher IGF-1 levels were associated with more favorable changes compared to lower levels, especially in VAT and IHL. Lower baseline IGFBP-1 levels were associated with greater improvements, especially in IHL and 2 h glucose. Higher bioactive IGF-1 levels might predict better metabolic outcomes following lifestyle interventions in prediabetes, potentially serving as biomarkers for personalized interventions.",

keywords = "IGF axis, intervention response, lifestyle intervention, prediabetes",

author = "Meyer, {Nina M.T.} and Stefan Kabisch and Ulrike Dambeck and Caroline Honsek and Margrit Kemper and Christiana Gerbracht and Arafat, {Ayman M.} and Birkenfeld, {Andreas L.} and Schwarz, {Peter E.H.} and J{\"u}rgen Machann and Osterhoff, {Martin A.} and Weickert, {Martin O.} and Pfeiffer, {Andreas F.H.}",

note = "Publisher Copyright: {\textcopyright} 2024 by the authors.",

year = "2024",

month = jun,

doi = "10.3390/ijms25126400",

language = "English",

volume = "25",

journal = "International Journal of Molecular Sciences",

issn = "1661-6596",

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Meyer, NMT, Kabisch, S, Dambeck, U, Honsek, C, Kemper, M, Gerbracht, C, Arafat, AM, Birkenfeld, AL, Schwarz, PEH, Machann, J, Osterhoff, MA, Weickert, MO & Pfeiffer, AFH 2024, 'IGF-1 and IGFBP-1 as Possible Predictors of Response to Lifestyle Intervention—Results from Randomized Controlled Trials', International Journal of Molecular Sciences, vol. 25, no. 12, 6400. https://doi.org/10.3390/ijms25126400

TY - JOUR

T1 - IGF-1 and IGFBP-1 as Possible Predictors of Response to Lifestyle Intervention—Results from Randomized Controlled Trials

AU - Meyer, Nina M.T.

AU - Kabisch, Stefan

AU - Dambeck, Ulrike

AU - Honsek, Caroline

AU - Kemper, Margrit

AU - Gerbracht, Christiana

AU - Arafat, Ayman M.

AU - Birkenfeld, Andreas L.

AU - Schwarz, Peter E.H.

AU - Machann, Jürgen

AU - Osterhoff, Martin A.

AU - Weickert, Martin O.

AU - Pfeiffer, Andreas F.H.

PY - 2024/6

Y1 - 2024/6

N2 - Lifestyle interventions can prevent type 2 diabetes (T2DM). However, some individuals do not experience anticipated improvements despite weight loss. Biomarkers to identify such individuals at early stages are lacking. Insulin-like growth factor 1 (IGF- 1) and Insulin-like growth factor binding protein 1(IGFBP-1) were shown to predict T2DM onset in prediabetes. We assessed whether these markers also predict the success of lifestyle interventions, thereby possibly guiding personalized strategies. We analyzed the fasting serum levels of IGF-1, IGFBP-1, and Insulin-like growth factor binding protein 2 (IGFBP-2) in relation to changes in metabolic and anthropometric parameters, including intrahepatic lipids (IHLs) and visceral adipose tissue (VAT) volume, measured by magnetic resonance imaging (MRI), in 345 participants with a high risk for prediabetes (54% female; aged 36–80 years). Participants were enrolled in three randomized dietary intervention trials and assessed both at baseline and one year post-intervention. Statistical analyses were performed using IBM SPSS Statistics (version 28), and significance was set at p < 0.05. Within the 1-year intervention, overall significant improvements were observed. Stratifying individuals by baseline IGF-1 and IGFBP-1 percentiles revealed significant differences: higher IGF-1 levels were associated with more favorable changes compared to lower levels, especially in VAT and IHL. Lower baseline IGFBP-1 levels were associated with greater improvements, especially in IHL and 2 h glucose. Higher bioactive IGF-1 levels might predict better metabolic outcomes following lifestyle interventions in prediabetes, potentially serving as biomarkers for personalized interventions.

AB - Lifestyle interventions can prevent type 2 diabetes (T2DM). However, some individuals do not experience anticipated improvements despite weight loss. Biomarkers to identify such individuals at early stages are lacking. Insulin-like growth factor 1 (IGF- 1) and Insulin-like growth factor binding protein 1(IGFBP-1) were shown to predict T2DM onset in prediabetes. We assessed whether these markers also predict the success of lifestyle interventions, thereby possibly guiding personalized strategies. We analyzed the fasting serum levels of IGF-1, IGFBP-1, and Insulin-like growth factor binding protein 2 (IGFBP-2) in relation to changes in metabolic and anthropometric parameters, including intrahepatic lipids (IHLs) and visceral adipose tissue (VAT) volume, measured by magnetic resonance imaging (MRI), in 345 participants with a high risk for prediabetes (54% female; aged 36–80 years). Participants were enrolled in three randomized dietary intervention trials and assessed both at baseline and one year post-intervention. Statistical analyses were performed using IBM SPSS Statistics (version 28), and significance was set at p < 0.05. Within the 1-year intervention, overall significant improvements were observed. Stratifying individuals by baseline IGF-1 and IGFBP-1 percentiles revealed significant differences: higher IGF-1 levels were associated with more favorable changes compared to lower levels, especially in VAT and IHL. Lower baseline IGFBP-1 levels were associated with greater improvements, especially in IHL and 2 h glucose. Higher bioactive IGF-1 levels might predict better metabolic outcomes following lifestyle interventions in prediabetes, potentially serving as biomarkers for personalized interventions.

KW - IGF axis

KW - intervention response

KW - lifestyle intervention

KW - prediabetes

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U2 - 10.3390/ijms25126400

DO - 10.3390/ijms25126400

M3 - Article

AN - SCOPUS:85197207850

SN - 1661-6596

VL - 25

JO - International Journal of Molecular Sciences

JF - International Journal of Molecular Sciences

IS - 12

M1 - 6400

ER -

IGF-1 and IGFBP-1 as Possible Predictors of Response to Lifestyle Intervention—Results from Randomized Controlled Trials

Abstract

Keywords

UN SDGs

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