Literature DB >> 29569539

Postprandial glycaemic and lipaemic responses to chronic coffee consumption may be modulated by CYP1A2 polymorphisms.

Tracey M Robertson1, Michael N Clifford1, Simon Penson2, Peter Williams3, M Denise Robertson1.   

Abstract

There is much epidemiological evidence suggesting a reduced risk of development of type 2 diabetes (T2D) in habitual coffee drinkers, however to date there have been few longer-term interventions, directly examining the effects of coffee intake on glucose and lipid metabolism. Previous studies may be confounded by inter-individual variation in caffeine metabolism. Specifically, the rs762551 SNP in the CYP1A2 gene has been demonstrated to influence caffeine metabolism, with carriers of the C allele considered to be of a 'slow' metaboliser phenotype. This study investigated the effects of regular coffee intake on markers of glucose and lipid metabolism in coffee-naïve individuals, with novel analysis by rs762551 genotype. Participants were randomised to either a coffee group (n 19) who consumed four cups/d instant coffee for 12 weeks or a control group (n 8) who remained coffee/caffeine free. Venous blood samples were taken pre- and post-intervention. Primary analysis revealed no significant differences between groups. Analysis of the coffee group by genotype revealed several differences. Before coffee intake, the AC genotype ('slow' caffeine metabolisers, n 9) displayed higher baseline glucose and NEFA than the AA genotype ('fast' caffeine metabolisers, n 10, P<0·05). Post-intervention, reduced postprandial glycaemia and reduced NEFA suppression were observed in the AC genotype, with the opposite result observed in the AA genotype (P<0·05). These observed differences between genotypes warrant further investigation and indicate there may be no one-size-fits-all recommendation with regard to coffee drinking and T2D risk.

Entities:  

Keywords:  zzm321990 CYP1A2zzm321990 ; CGA chlorogenic acid; T2D type 2 diabetes; Coffee; Glucose; Humans; Lipids; Metabolism; rs762551

Mesh:

Substances:

Year:  2018        PMID: 29569539     DOI: 10.1017/S0007114518000260

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  7 in total

Review 1.  Mechanisms of action of coffee bioactive components on lipid metabolism.

Authors:  Renalison Farias-Pereira; Cheon-Seok Park; Yeonhwa Park
Journal:  Food Sci Biotechnol       Date:  2019-08-12       Impact factor: 2.391

2.  Pharmacokinetics of Eltrombopag in Healthy Chinese Subjects and Effect of Sex and Genetic Polymorphism on its Pharmacokinetic and Pharmacodynamic Variability.

Authors:  Jinliang Chen; Yichao Xu; Honggang Lou; Bo Jiang; Rong Shao; Dandan Yang; Yin Hu; Zourong Ruan
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2021-03-29       Impact factor: 2.441

3.  Valorizing Coffee Silverskin Based on Its Phytochemicals and Antidiabetic Potential: From Lab to a Pilot Scale.

Authors:  Juliana A Barreto Peixoto; Nelson Andrade; Susana Machado; Anabela S G Costa; Helder Puga; Maria Beatriz P P Oliveira; Fátima Martel; Rita C Alves
Journal:  Foods       Date:  2022-06-07

4.  Habitual Coffee and Tea Consumption and Cardiometabolic Biomarkers in the UK Biobank: The Role of Beverage Types and Genetic Variation.

Authors:  Marilyn C Cornelis; Rob M van Dam
Journal:  J Nutr       Date:  2020-10-12       Impact factor: 4.798

5.  Genetic Polymorphisms in ADORA2A and CYP1A2 Influence Caffeine's Effect on Postprandial Glycaemia.

Authors:  N F Banks; P M Tomko; R J Colquhoun; T W D Muddle; S R Emerson; N D M Jenkins
Journal:  Sci Rep       Date:  2019-07-19       Impact factor: 4.379

Review 6.  Nutrient timing and metabolic regulation.

Authors:  Harry A Smith; James A Betts
Journal:  J Physiol       Date:  2022-01-31       Impact factor: 6.228

7.  Association of Coffee Consumption and Its Types According to Addition of Sugar and Creamer with Metabolic Syndrome Incidence in a Korean Population from the Health Examinees (HEXA) Study.

Authors:  Li-Juan Tan; Hye Joo Jeon; SoHyun Park; Seong-Ah Kim; Kyungjoon Lim; Sangwon Chung; Pahn-Shick Chang; Jong-Koo Lee; Daehee Kang; Sangah Shin
Journal:  Nutrients       Date:  2021-03-12       Impact factor: 5.717

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.