TY - JOUR
T1 - Immunologic profile of excessive body weight
AU - Azar Sharabiani, Mansour Taghavi
AU - Vermeulen, Roel
AU - Scoccianti, Chiara
AU - Hosnijeh, Fatemeh Saberi
AU - Minelli, Liliana
AU - Sacerdote, Carlotta
AU - Palli, Domenico
AU - Krogh, Vittorio
AU - Tumino, Rosario
AU - Chiodini, Paolo
AU - Panico, Salvatore
AU - Vineis, Paolo
PY - 2011/5
Y1 - 2011/5
N2 - 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.
AB - 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.
KW - Obesity/diabetes
KW - growth factors/cytokines/inflammatory
KW - mediators
KW - proteomics
UR - https://www.scopus.com/pages/publications/79955116866
U2 - 10.3109/1354750X.2010.547948
DO - 10.3109/1354750X.2010.547948
M3 - Article
SN - 1354-750X
VL - 16
SP - 243
EP - 251
JO - Biomarkers
JF - Biomarkers
IS - 3
ER -