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dc.contributor.authorAzar Sharabiani, Mansour Taghavi
dc.contributor.authorVermeulen, Roel
dc.contributor.authorScoccianti, Chiara
dc.contributor.authorHosnijeh, Fatemeh Saberi
dc.contributor.authorMinelli, Liliana
dc.contributor.authorSacerdote, Carlotta
dc.contributor.authorPalli, Domenico
dc.contributor.authorKrogh, Vittorio
dc.contributor.authorTumino, Rosario
dc.contributor.authorChiodini, Paolo
dc.contributor.authorPanico, Salvatore
dc.contributor.authorVineis, Paolo
dc.date.accessioned2012-07-17T20:21:04Z
dc.date.available2012-07-17T20:21:04Z
dc.date.issued2011-05
dc.identifier.citationBiomarkers 2011, 16 (3):243-251en_GB
dc.identifier.issn1366-5804
dc.identifier.pmid21506696
dc.identifier.doi10.3109/1354750X.2010.547948
dc.identifier.urihttp://hdl.handle.net/10146/234212
dc.description.abstractThe 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.
dc.description.sponsorshipThe study was funded by the "Determinants of obesity and its prevention" project, Regione Umbria, Direzione Regionale Sanita e Servizi Sociali, and by ECNIS.en_GB
dc.language.isoenen
dc.rightsArchived with thanks to Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicalsen_GB
dc.subjectObesityen_GB
dc.subjectBody weighten_GB
dc.subjectImmunologyen_GB
dc.subjectBiological markersen_GB
dc.subjectCytokinesen_GB
dc.subjectHumansen_GB
dc.subjectCase-Control Studiesen_GB
dc.subject.meshBiological Markers
dc.subject.meshBody Weight
dc.subject.meshCase-Control Studies
dc.subject.meshChemokines
dc.subject.meshCytokines
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshIntercellular Adhesion Molecule-1
dc.subject.meshLogistic Models
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshMultivariate Analysis
dc.subject.meshObesity
dc.subject.meshROC Curve
dc.titleImmunologic profile of excessive body weight.en
dc.typeArticleen
dc.identifier.journalBiomarkersen_GB
html.description.abstractThe 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.


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