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  2. Metabolomics study of blood pressure salt-sensitivity and hypertension

Metabolomics study of blood pressure salt-sensitivity and hypertension

  • Nutr Metab Cardiovasc Dis. 2022 Jul;32(7):1681-1692. doi: 10.1016/j.numecd.2022.04.002.
Mengyao Shi 1 Jiang He 2 Changwei Li 3 Xiangfeng Lu 4 William J He 5 Jie Cao 4 Jing Chen 2 Ji-Chun Chen 4 Lydia A Bazzano 3 Jian-Xin Li 4 Hua He 3 Dongfeng Gu 4 Tanika N Kelly 6
Affiliations

Affiliations

  • 1 Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
  • 2 Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States; Department of Medicine, Tulane University School of Medicine, New Orleans, LA, United States.
  • 3 Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
  • 4 Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
  • 5 Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • 6 Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States. Electronic address: tkelly@tulane.edu.
Abstract

Background and aims: Identify novel metabolite associations with blood pressure (BP) salt-sensitivity and hypertension.

Methods and results: The Genetic Epidemiology Network of Salt Sensitivity (GenSalt) Replication study includes 698 Chinese participants who underwent a 3-day baseline examination followed by a 7-day low-sodium feeding and 7-day high-sodium feeding. Latent mixture models identified three trajectories of blood pressure (BP) responses to the sodium interventions. We selected 50 most highly salt-sensitive and 50 most salt-resistant participants for untargeted metabolomics profiling. Multivariable adjusted mixed logistic regression models tested the associations of baseline metabolites with BP salt-sensitivity. Multivariable adjusted mixed linear regression models tested the associations of BP salt-sensitivity with metabolite changes during the sodium interventions. Identified metabolites were tested for associations with hypertension among 1249 Bogalusa Heart Study (BHS) participants using multiple logistic regression. Fifteen salt-sensitivity metabolites were associated with hypertension in the BHS. Baseline values of serine, 2-methylbutyrylcarnitine and isoleucine directly associated with high salt-sensitivity. Among them, serine indirectly associated with hypertension while 2-methylbutyrylcarnitine and isoleucine directly associated with hypertension. Baseline salt-sensitivity status predicted changes in 14 metabolites when switching to low-sodium or high-sodium interventions. Among them, glutamate, 1-carboxyethylvaline, 2-methylbutyrylcarnitine, 3-methoxytyramine sulfate, glucose, alpha-ketoglutarate, hexanoylcarnitine, gamma-glutamylisoleucine, gamma-glutamylleucine, and gamma-glutamylphenylalanine directly associated with hypertension. Conversely, serine, histidine, threonate and 5-methyluridine indirectly associated with hypertension. Together, these metabolites explained an additional 7% of hypertension susceptibility when added to a model including traditional risk factors.

Conclusions: Our findings contribute to the molecular characterization of BP response to sodium and provide novel biological insights into salt-sensitive hypertension.

Keywords

Blood pressure salt-sensitivity; Hypertension; Untargeted metabolomics.

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