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PMID: 21506696 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Immunologic profile of excessive body weight.

Sharabiani MT, Vermeulen R, Scoccianti C, Hosnijeh FS, Minelli L, Sacerdote C, Palli D, Krogh V, Tumino R, Chiodini P, Panico S, Vineis P

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 γ, 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.

MeSH Terms
Biomarkers/blood Body Weight/immunology Case-Control Studies Chemokines/blood Cytokines/blood Female Humans Intercellular Adhesion Molecule-1/blood Logistic Models Male Middle Aged Multivariate Analysis Obesity/immunology ROC Curve
Chemicals
Biomarkers Chemokines Cytokines Intercellular Adhesion Molecule-1
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Sharabiani Mansour Taghavi Azar
School of Public Health, Imperial College London, London, UK.
Vermeulen Roel
Scoccianti Chiara
Hosnijeh Fatemeh Saberi
Minelli Liliana
Sacerdote Carlotta
Palli Domenico
Krogh Vittorio
Tumino Rosario
Chiodini Paolo
Panico Salvatore
Vineis Paolo
Article Info
Journal
Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals
Abbr.
Biomarkers
ISSN
1366-5804
Published
2011-05-00
Pages
243-51
Language
English
Region
England
NLM ID
9606000
Subset
IM
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