Abstract
The purpose of this paper is to identify immunologic hallmarks of excessive bodyweight. The analysis is based on 176 adults (106 women, 70 men) who participated in a nested case-control study in Italy. All participants were healthy at the time of blood collection and aged between 36 and 75 years. We employed multivariate analysis of variance and a nonparametric Bayesian additive regression tree approach along with a receiver operating characteristic (ROC) curve analysis to determine the immunologic signature of excessive body weight (i.e., obesity and overweight). Interleukin 8 (IL-8), IL-10, interferon γÎ, and inducible protein 10 were shown to be predictive of excessive body weight with an area under the ROC curve of 71% (p<0.0002). We propose that by using this profile-based approach to define immunologic signatures, it might be possible to identify unique immunologic hallmarks of specific types of obesity.
| Original language | English |
|---|---|
| Pages (from-to) | 243-251 |
| Number of pages | 9 |
| Journal | Biomarkers |
| Volume | 16 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - May 2011 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Obesity/diabetes
- growth factors/cytokines/inflammatory
- mediators
- proteomics
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