Literature DB >> 31814205

Plasma metabolite biomarkers of boiled and filtered coffee intake and their association with type 2 diabetes risk.

L Shi1,2, C Brunius2, I Johansson3,4, I A Bergdahl4,5, O Rolandsson4, B van Guelpen6,7, A Winkvist8,9, K Hanhineva10,11, R Landberg2,4.   

Abstract

BACKGROUND: Habitual coffee intake has been associated with a lower risk of developing type 2 diabetes (T2D), but few studies used biomarkers to reflect intake and investigated different coffee brews, that is boiled and filtered, separately.
OBJECTIVES: To identify plasma metabolites associated with boiled or filtered coffee intake and to examine their association with T2D risk in Swedish adults.
METHODS: In a case-control study nested within the Västerbotten Intervention Programme, baseline plasma samples from 421 case-control pairs and samples from a subset of 149 pairs at a 10-year follow-up were analysed using untargeted LC-MS metabolomics. We identified metabolites associated with food frequency questionnaires (FFQ)-estimated coffee intake and assessed odds ratios of T2D.
RESULTS: In total, 24 and 32 metabolites were associated with boiled or filtered coffee intake. We determined robust metabolite panels for highly specific prediction of boiled or filtered coffee. We observed an inverse association between the metabolite panel of filtered coffee and T2D risk. No association with T2D was observed for the panel of boiled coffee intake. Similar results were observed for FFQ-estimated coffee intake.
CONCLUSIONS: We identified plasma metabolites specifically associated with boiled or filtered coffee intake, which might be used as selective biomarkers. Our study supports a protective role of habitual intake of filtered coffee on T2D development. The lack of association for boiled coffee intake might be due to the lack of a protective effect of boiled coffee or due to the limited number of boiled coffee consumers in this population, but it warrants further investigation.
© 2019 The Association for the Publication of the Journal of Internal Medicine.

Entities:  

Keywords:  coffee intake; dietary biomarker; epidemiology; metabolomics; type 2 diabetes

Mesh:

Substances:

Year:  2019        PMID: 31814205     DOI: 10.1111/joim.13009

Source DB:  PubMed          Journal:  J Intern Med        ISSN: 0954-6820            Impact factor:   8.989


  5 in total

1.  Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes.

Authors:  Fenglei Wang; Megu Y Baden; Marta Guasch-Ferré; Clemens Wittenbecher; Jun Li; Yanping Li; Yi Wan; Shilpa N Bhupathiraju; Deirdre K Tobias; Clary B Clish; Lorelei A Mucci; A Heather Eliassen; Karen H Costenbader; Elizabeth W Karlson; Alberto Ascherio; Eric B Rimm; JoAnn E Manson; Liming Liang; Frank B Hu
Journal:  Diabetologia       Date:  2022-04-08       Impact factor: 10.122

2.  Combining Field-Enabled Capillary Vibrating Sharp-Edge Spray Ionization with Microflow Liquid Chromatography and Mass Spectrometry to Enhance 'Omics Analyses.

Authors:  Sandra N Majuta; Anthony DeBastiani; Peng Li; Stephen J Valentine
Journal:  J Am Soc Mass Spectrom       Date:  2021-01-08       Impact factor: 3.109

3.  Metabolomics and Type 2 Diabetes Risk: An Updated Systematic Review and Meta-analysis of Prospective Cohort Studies.

Authors:  Jakub Morze; Clemens Wittenbecher; Lukas Schwingshackl; Anna Danielewicz; Andrzej Rynkiewicz; Frank B Hu; Marta Guasch-Ferré
Journal:  Diabetes Care       Date:  2022-04-01       Impact factor: 17.152

4.  The association of coffee consumption rate with serum 25-hydroxyvitamin D, non-HDL levels, and TC/HDL ratio in females with vitamin D deficiency.

Authors:  Maha Habash; Sami Al-Shakhshir; Mohammad Abusamak; Mohammad Yasin Mohammad; Mahmoud AbuSamak
Journal:  Womens Health (Lond)       Date:  2022 Jan-Dec

5.  An online atlas of human plasma metabolite signatures of gut microbiome composition.

Authors:  Koen F Dekkers; Sergi Sayols-Baixeras; Marju Orho-Melander; Tove Fall; Gabriel Baldanzi; Christoph Nowak; Ulf Hammar; Diem Nguyen; Georgios Varotsis; Louise Brunkwall; Nynne Nielsen; Aron C Eklund; Jacob Bak Holm; H Bjørn Nielsen; Filip Ottosson; Yi-Ting Lin; Shafqat Ahmad; Lars Lind; Johan Sundström; Gunnar Engström; J Gustav Smith; Johan Ärnlöv
Journal:  Nat Commun       Date:  2022-09-23       Impact factor: 17.694

  5 in total

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