Literature DB >> 27756781

Glycerophosphocholine Metabolites and Cardiovascular Disease Risk Factors in Adolescents: A Cohort Study.

Catriona Syme1, Simon Czajkowski1, Jean Shin1, Michal Abrahamowicz1, Gabriel Leonard1, Michel Perron1, Louis Richer1, Suzanne Veillette1, Daniel Gaudet1, Lisa Strug1, Yun Wang1, Hongbin Xu1, Graeme Taylor1, Tomas Paus1, Steffany Bennett1, Zdenka Pausova2.   

Abstract

BACKGROUND: Glycerophosphocholine (GPC) metabolites modulate atherosclerosis and thus risk for cardiovascular disease (CVD). Preclinical CVD may start during adolescence. Here, we used targeted serum lipidomics to identify a new panel of GPCs, and tested whether any of these GPCs are associated, in adolescence, with classical risk factors of CVD, namely excess visceral fat (VF), elevated blood pressure, insulin resistance, and atherogenic dyslipidemia.
METHODS: We studied a population-based sample of 990 adolescents (12-18 years, 48% male), as part of the Saguenay Youth Study. Using liquid chromatography-electrospray ionization-mass spectrometry, we identified 69 serum GPCs within the 450 to 680 m/z range. We measured VF with MRI.
RESULTS: We identified several novel GPCs that were associated with multiple CVD risk factors. Most significantly, PC16:0/2:0 was negatively associated with VF (P=1.4×10-19), blood pressure (P=7.7×10-5), and fasting triacylglycerols (P=9.0×10-5), and PC14:1/0:0 was positively associated with VF (P=3.0×10-7), fasting insulin (P=5.4×10-32), and triacylglycerols (P=1.4×10-29). The Sobel test of mediation revealed that both GPCs mediated their respective relations between VF (as a potential primary exposure) and CVD risk factors (as outcomes, P values<1.3×10-3). Furthermore, a GPC shown recently to predict incident coronary heart disease in older adults, PC18:2/0:0, was associated with several CVD risk factors in adolescents; these associations were less strong than those with the newly identified GPCs.
CONCLUSIONS: We identified novel GPCs strongly associated with multiple CVD risk factors in adolescents. These GPCs may be sensitive indicators of obesity-related risk for CVD outcomes in adults, and may improve biological understanding of CVD risk.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  adolescent; cardiovascular system; lipid metabolism; metabolomics; obesity

Mesh:

Substances:

Year:  2016        PMID: 27756781     DOI: 10.1161/CIRCULATIONAHA.116.022993

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  23 in total

1.  Plasma metabolite biomarkers predictive of radiation induced cardiotoxicity.

Authors:  Keith Unger; Yaoxiang Li; Celine Yeh; Ana Barac; Monvadi B Srichai; Elizabeth A Ballew; Michael Girgis; Meth Jayatilake; Vijayalakshmi Sridharan; Marjan Boerma; Amrita K Cheema
Journal:  Radiother Oncol       Date:  2020-04-20       Impact factor: 6.280

Review 2.  Lipidomic insight into cardiovascular diseases.

Authors:  Shohei Kohno; Audrey L Keenan; James M Ntambi; Makoto Miyazaki
Journal:  Biochem Biophys Res Commun       Date:  2018-04-19       Impact factor: 3.575

3.  Characterization of metabolites and biomarkers for the probiotic effects of Clostridium cochlearium on high-fat diet-induced obese C57BL/6 mice.

Authors:  Fei Yang; Wenjun Zhu; Paba Edirisuriya; Qing Ai; Kai Nie; Xiangming Ji; Kequan Zhou
Journal:  Eur J Nutr       Date:  2022-03-20       Impact factor: 5.614

4.  Lipidome association with vascular disease and inflammation in HIV+ Ugandan children.

Authors:  Sahera Dirajlal-Fargo; Abdus Sattar; Jiao Yu; Zainab Albar; Fabio C Chaves; Ken Riedl; Cissy Kityo; Emily Bowman; Grace A McComsey; Nicholas Funderburg
Journal:  AIDS       Date:  2021-08-01       Impact factor: 4.632

5.  Metabonomics uncovers a reversible proatherogenic lipid profile during infliximab therapy of inflammatory bowel disease.

Authors:  Jacob Tveiten Bjerrum; Casper Steenholdt; Mark Ainsworth; Ole Haagen Nielsen; Michelle Ac Reed; Karen Atkins; Ulrich Leonhard Günther; Fuhua Hao; Yulan Wang
Journal:  BMC Med       Date:  2017-10-16       Impact factor: 8.775

6.  Berberine Could Ameliorate Cardiac Dysfunction via Interfering Myocardial Lipidomic Profiles in the Rat Model of Diabetic Cardiomyopathy.

Authors:  Shifen Dong; Shuofeng Zhang; Zhirong Chen; Rong Zhang; Linyue Tian; Long Cheng; Fei Shang; Jianning Sun
Journal:  Front Physiol       Date:  2018-08-02       Impact factor: 4.566

7.  Investigating the Mechanistic Differences of Obesity-Inducing Lactobacillus kefiranofaciens M1 and Anti-obesity Lactobacillus mali APS1 by Microbolomics and Metabolomics.

Authors:  Yu-Chun Lin; Yung-Tsung Chen; Kuan-Yi Li; Ming-Ju Chen
Journal:  Front Microbiol       Date:  2020-07-08       Impact factor: 5.640

8.  Metabolic Dysregulation of the Lysophospholipid/Autotaxin Axis in the Chromosome 9p21 Gene SNP rs10757274.

Authors:  Sven W Meckelmann; Jade I Hawksworth; Daniel White; Robert Andrews; Patricia Rodrigues; Anne O'Connor; Jorge Alvarez-Jarreta; Victoria J Tyrrell; Christine Hinz; You Zhou; Julie Williams; Maceler Aldrovandi; William J Watkins; Adam J Engler; Valentina Lo Sardo; David A Slatter; Stuart M Allen; Jay Acharya; Jacquie Mitchell; Jackie Cooper; Junken Aoki; Kuniyuki Kano; Steve E Humphries; Valerie B O'Donnell
Journal:  Circ Genom Precis Med       Date:  2020-05-12

9.  Plasma lipidomic analysis reveals strong similarities between lipid fingerprints in human, hamster and mouse compared to other animal species.

Authors:  Zied Kaabia; Julie Poirier; Michelle Moughaizel; Audrey Aguesse; Stéphanie Billon-Crossouard; Fanta Fall; Manon Durand; Elie Dagher; Michel Krempf; Mikaël Croyal
Journal:  Sci Rep       Date:  2018-10-26       Impact factor: 4.379

10.  Investigations into Isoniazid Treated Mycobacterium tuberculosis by Electrospray Mass Spectrometry Reveals New Insights into Its Lipid Composition.

Authors:  Rahul Pal; Saif Hameed; Varatharajan Sabareesh; Parveen Kumar; Sarman Singh; Zeeshan Fatima
Journal:  J Pathog       Date:  2018-06-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.