Insulin-Like Growth Factor 1 (IGF-1) in Parkinson's Disease: Potential as Trait-, Progression- and Prediction Marker and Confounding Factors

PLoS One. 2016 Mar 11;11(3):e0150552. doi: 10.1371/journal.pone.0150552. eCollection 2016.

Abstract

Introduction: Biomarkers indicating trait, progression and prediction of pathology and symptoms in Parkinson's disease (PD) often lack specificity or reliability. Investigating biomarker variance between individuals and over time and the effect of confounding factors is essential for the evaluation of biomarkers in PD, such as insulin-like growth factor 1 (IGF-1).

Materials and methods: IGF-1 serum levels were investigated in up to 8 biannual visits in 37 PD patients and 22 healthy controls (HC) in the longitudinal MODEP study. IGF-1 baseline levels and annual changes in IGF-1 were compared between PD patients and HC while accounting for baseline disease duration (19 early stage: ≤3.5 years; 18 moderate stage: >4 years), age, sex, body mass index (BMI) and common medical factors putatively modulating IGF-1. In addition, associations of baseline IGF-1 with annual changes of motor, cognitive and depressive symptoms and medication dose were investigated.

Results: PD patients in moderate (130±26 ng/mL; p = .004), but not early stages (115±19, p>.1), showed significantly increased baseline IGF-1 levels compared with HC (106±24 ng/mL; p = .017). Age had a significant negative correlation with IGF-1 levels in HC (r = -.47, p = .028) and no correlation in PD patients (r = -.06, p>.1). BMI was negatively correlated in the overall group (r = -.28, p = .034). The annual changes in IGF-1 did not differ significantly between groups and were not correlated with disease duration. Baseline IGF-1 levels were not associated with annual changes of clinical parameters.

Discussion: Elevated IGF-1 in serum might differentiate between patients in moderate PD stages and HC. However, the value of serum IGF-1 as a trait-, progression- and prediction marker in PD is limited as IGF-1 showed large inter- and intraindividual variability and may be modulated by several confounders.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers / metabolism*
  • Body Mass Index
  • Disease Progression
  • Female
  • Founder Effect
  • Humans
  • Insulin-Like Growth Factor I / metabolism*
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Parkinson Disease / blood
  • Parkinson Disease / diagnosis*
  • Reproducibility of Results
  • Risk Factors

Substances

  • Biomarkers
  • IGF1 protein, human
  • Insulin-Like Growth Factor I

Grants and funding

The MODEP study was initially supported by Solvay Pharmaceuticals and recently received financial support by Teva Pharmaceutical Industries Ltd. The authors acknowledge support by Deutsche Forschungsgemeinschaft and Open Access Publishing Fund of Tuebingen University. Moreover, the authors acknowledge support of the Bundesministerium für Bildung und Forschung (BMBF) Neuroallianz D13B project. These funders were not involved in study design, data collection and analysis, decision to publish, or preparation of the manuscript.