Literature DB >> 27245178

Identification of Serum Metabolites Associated With Incident Hypertension in the European Prospective Investigation into Cancer and Nutrition-Potsdam Study.

Stefan Dietrich1, Anna Floegel2, Cornelia Weikert2, Cornelia Prehn, Jerzy Adamski, Tobias Pischon2, Heiner Boeing2, Dagmar Drogan2.   

Abstract

Metabolomics is a promising tool to gain new insights into early metabolic alterations preceding the development of hypertension in humans. We therefore aimed to identify metabolites associated with incident hypertension using measured data of serum metabolites of the European Prospective Investigation Into Cancer and Nutrition (EPIC)-Potsdam study. Targeted metabolic profiling was conducted on serum blood samples of a randomly drawn EPIC-Potsdam subcohort consisting of 135 cases and 981 noncases of incident hypertension, all of them being free of hypertension and not on antihypertensive therapy at the time of blood sampling. Mean follow-up was 9.9 years. A validated set of 127 metabolites was statistically analyzed with a random survival forest backward selection algorithm to identify predictive metabolites of incident hypertension taking into account important epidemiological hypertension risk markers. Six metabolites were identified to be most predictive for the development of hypertension. Higher concentrations of serine, glycine, and acyl-alkyl-phosphatidylcholines C42:4 and C44:3 tended to be associated with higher and diacyl-phosphatidylcholines C38:4 and C38:3 with lower predicted 10-year hypertension-free survival, although visualization by partial plots revealed some nonlinearity in the above associations. The identified metabolites improved prediction of incident hypertension when used together with known risk markers of hypertension. In conclusion, these findings indicate that metabolic alterations occur early in the development of hypertension. However, these alterations are confined to a few members of the amino acid or phosphatidylcholine metabolism, respectively.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  glycine; hypertension; incidence; metabolomics; phosphatidylcholines; serine

Mesh:

Substances:

Year:  2016        PMID: 27245178     DOI: 10.1161/HYPERTENSIONAHA.116.07292

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  23 in total

Review 1.  Application of omics in hypertension and resistant hypertension.

Authors:  Jiuqi Guo; Xiaofan Guo; Yingxian Sun; Zhao Li; Pengyu Jia
Journal:  Hypertens Res       Date:  2022-03-09       Impact factor: 3.872

Review 2.  Towards Precision Medicine for Hypertension: A Review of Genomic, Epigenomic, and Microbiomic Effects on Blood Pressure in Experimental Rat Models and Humans.

Authors:  Sandosh Padmanabhan; Bina Joe
Journal:  Physiol Rev       Date:  2017-10-01       Impact factor: 37.312

3.  Choline Metabolites, Hydroxybutyrate and HDL after Dietary Fiber Supplementation in Overweight/Obese Hypertensive Women: A Metabolomic Study.

Authors:  Carla Patricia Novaes Dos Santos Fechine; Mussara Gomes Cavalcanti Alves Monteiro; Josean Fechine Tavares; Augusto Lopes Souto; Rafaella Cristhine Pordeus Luna; Cássia Surama Oliveira da Silva; Jairo Alves da Silva; Sócrates Golzio Dos Santos; Maria José de Carvalho Costa; Darlene Camati Persuhn
Journal:  Nutrients       Date:  2021-04-24       Impact factor: 5.717

Review 4.  The Future of "Omics" in Hypertension.

Authors:  Gemma Currie; Christian Delles
Journal:  Can J Cardiol       Date:  2016-12-07       Impact factor: 5.223

Review 5.  Caution in studying and interpreting the lupus metabolome.

Authors:  Ting Zhang; Chandra Mohan
Journal:  Arthritis Res Ther       Date:  2020-07-17       Impact factor: 5.156

6.  Comparison of metabolite networks from four German population-based studies.

Authors:  Khalid Iqbal; Stefan Dietrich; Clemens Wittenbecher; Jan Krumsiek; Tilman Kühn; Maria Elena Lacruz; Alexander Kluttig; Cornelia Prehn; Jerzy Adamski; Martin von Bergen; Rudolf Kaaks; Matthias B Schulze; Heiner Boeing; Anna Floegel
Journal:  Int J Epidemiol       Date:  2018-12-01       Impact factor: 7.196

7.  An untargeted metabolomics study of blood pressure: findings from the Bogalusa Heart Study.

Authors:  William J He; Changwei Li; Xuenan Mi; Mengyao Shi; Xiaoying Gu; Lydia A Bazzano; Alexander C Razavi; Jovia L Nierenberg; Kirsten Dorans; Hua He; Tanika N Kelly
Journal:  J Hypertens       Date:  2020-07       Impact factor: 4.844

8.  Weight changes in hypertensive patients with phlegm-dampness syndrome: an integrated proteomics and metabolomics approach.

Authors:  Chi Zhang; Li Li; Shiping Cheng; Debajyoti Chowdhury; Yong Tan; Xinru Liu; Ning Zhao; Xiaojuan He; Miao Jiang; Cheng Lu; Aiping Lyu
Journal:  Chin Med       Date:  2021-07-07       Impact factor: 5.455

9.  Urinary Metabolites Associated with Blood Pressure on a Low- or High-Sodium Diet.

Authors:  Yuan Cheng; Haiying Song; Xiaoqing Pan; Hong Xue; Yifei Wan; Tao Wang; Zhongmin Tian; Entai Hou; Ian R Lanza; Pengyuan Liu; Yong Liu; Purushottam W Laud; Kristie Usa; Yongcheng He; Mingyu Liang
Journal:  Theranostics       Date:  2018-02-05       Impact factor: 11.556

10.  Sexual Dimorphism of Metabolomic Profile in Arterial Hypertension.

Authors:  Yaya Goïta; Juan Manuel Chao de la Barca; Asmaou Keïta; Mamadou Bocary Diarra; Klétigui Casimir Dembélé; Floris Chabrun; Boubacar Sidiki Ibrahim Dramé; Yaya Kassogué; Mahamadou Diakité; Delphine Mirebeau-Prunier; Bakary Mamadou Cissé; Gilles Simard; Pascal Reynier
Journal:  Sci Rep       Date:  2020-05-05       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.