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Cardiometabolic profiles and proteomics associated with obesity phenotypes in a longitudinal cohort of young adults.
Liao, Jiawen; Goodrich, Jesse A; Chen, Wu; Qiu, Chenyu; Chen, Jiawen Carmen; Costello, Elizabeth; Alderete, Tanya L; Chatzi, Lida; Gilliland, Frank; Chen, Zhanghua.
Afiliação
  • Liao J; Department of Public and Population Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA.
  • Goodrich JA; Department of Public and Population Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA.
  • Chen W; Department of Public and Population Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA.
  • Qiu C; Department of Public and Population Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA.
  • Chen JC; Department of Public and Population Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA.
  • Costello E; Department of Public and Population Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA.
  • Alderete TL; Department of Integrative Physiology, University of Colorado, Boulder, CO, USA.
  • Chatzi L; Department of Public and Population Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA.
  • Gilliland F; Department of Public and Population Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA.
  • Chen Z; Department of Public and Population Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA. zhanghuc@usc.edu.
Sci Rep ; 14(1): 7384, 2024 03 28.
Article em En | MEDLINE | ID: mdl-38548792
ABSTRACT
To assess cardiometabolic profiles and proteomics to identify biomarkers associated with the metabolically healthy and unhealthy obesity. Young adults (N = 156) enrolled were classified as not having obesity, metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO) based on NCEP ATP-III criteria. Plasma proteomics at study entry were measured using Olink Cardiometabolic Explore panel. Linear regression was used to assess associations between proteomics and obesity groups as well as cardiometabolic traits of glucose, insulin, and lipid profiles at baseline and follow-up visits. Enriched biological pathways were further identified based on the significant proteomic features. Among the baseline 95 (61%) and 61 (39%) participants classified as not having obesity and having obesity (8 MHO and 53 MUHO), respectively. Eighty of the participants were followed-up with an average 4.6 years. Forty-one proteins were associated with obesity (FDR < 0.05), 29 of which had strong associations with insulin-related traits and lipid profiles (FDR < 0.05). Inflammation, immunomodulation, extracellular matrix remodeling and endoplasmic reticulum lumen functions were enriched by 40 proteins. In this study population, obesity and MHO were associated with insulin resistance and dysregulated lipid profiles. The underlying mechanism included elevated inflammation and deteriorated extracellular matrix remodeling function.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Obesidade Metabolicamente Benigna Limite: Adult / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Obesidade Metabolicamente Benigna Limite: Adult / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos