Your browser doesn't support javascript.
loading
Metabolomic signatures for blood pressure from early to late adolescence: findings from a U.S. cohort.
Zhang, Mingyu; Perng, Wei; Rifas-Shiman, Sheryl L; Aris, Izzuddin M; Oken, Emily; Hivert, Marie-France.
Afiliação
  • Zhang M; Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, CO-1309, #204, Boston, MA, 02215, USA. mzhang16@bidmc.harvard.edu.
  • Perng W; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA. mzhang16@bidmc.harvard.edu.
  • Rifas-Shiman SL; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Aris IM; Lifecourse Epidemiology of Adiposity & Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Oken E; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
  • Hivert MF; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Metabolomics ; 20(3): 52, 2024 May 09.
Article em En | MEDLINE | ID: mdl-38722414
ABSTRACT

INTRODUCTION:

Metabolite signatures for blood pressure (BP) may reveal biomarkers, elucidate pathogenesis, and provide prevention targets for high BP. Knowledge regarding metabolites associated with BP in adolescence remains limited.

OBJECTIVES:

Investigate the associations between metabolites and adolescent BP, both cross-sectionally (in early and late adolescence) and prospectively (from early to late adolescence).

METHODS:

Participants are from the Project Viva prospective cohort. During the early (median 12.8 years; N = 556) and late (median 17.4 years; N = 501) adolescence visits, we conducted untargeted plasma metabolomic profiling and measured systolic (SBP) and diastolic BP (DBP). We used linear regression to identify metabolites cross-sectionally associated with BP at each time point, and to assess prospective associations of changes in metabolite levels from early to late adolescence with late adolescence BP. We used Weighted Gene Correlation Network Analysis and Spearman's partial correlation to identify metabolite clusters associated with BP at each time point.

RESULTS:

In the linear models, higher androgenic steroid levels were consistently associated with higher SBP and DBP in early and late adolescence. A cluster of 59 metabolites, mainly composed of androgenic steroids, correlated with higher SBP and DBP in early adolescence. A cluster primarily composed of fatty acid lipids was marginally associated with higher SBP in females in late adolescence. Multiple metabolites, including those in the creatine and purine metabolism sub-pathways, were associated with higher SBP and DBP both cross-sectionally and prospectively.

CONCLUSION:

Our results shed light on the potential metabolic processes and pathophysiology underlying high BP in adolescents.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pressão Sanguínea / Metabolômica Limite: Adolescent / Child / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Metabolomics / Metabolomics (Dordrecht. Print) 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: Pressão Sanguínea / Metabolômica Limite: Adolescent / Child / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Metabolomics / Metabolomics (Dordrecht. Print) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos