ArticleJournal of personalized medicine2024
Coffee Consumption and
Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Coffee as a polypharmacological modulator of mitochondrial health: from molecular mechanisms to translational implications.Journal of translational medicine · 2026Review
- Pharmacogenetics and pharmacometabolomics predictors of clozapine and norclozapine pharmacokinetic exposure in healthy volunteers.European journal of clinical pharmacology · 2025Article
- The Review on Adverse Effects of Energy Drinks and Their Potential Drug Interactions.Nutrients · 2025Review
- Article
- Interaction Between CYP1A2-Related Caffeine Metabolism and Vitamin B12/Folate Status in Patients with Metabolic Syndrome: A Novel Biomarker Axis.Metabolites · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cytochrome P450 1A2 (CYP1A2) is known to be the main enzyme directly responsible for caffeine metabolism. Rs762551 (NC_000015.10:g.74749576C>A) is a single nucleotide polymorphism of the
objectivesThis study aims to find any significant correlations among
methodsA total of 358 people were enrolled in this study-218 diagnosed with T2DM, and 140 representing the control sample. The qPCR technique was performed, analyzing rs762551 (assay C_8881221) on the LightCycler 480 (Roche, Basel, Switzerland) with Gene Scanning software version 1.5.1 (Roche).
resultsOur first observation was that the diabetic patients were likely to consume more coffee than the non-diabetic subjects. People with the AA genotype, or the fast metabolizers, are the least common, yet they are the highest coffee consumers and present the highest glucose and cholesterol levels. Another important finding is the correlation between coffee intake and glucose level, which showed statistically significant differences between the diabetic group (
conclusionsThe main conclusion of this study is that according to genotype, caffeine levels, glucose, and cholesterol are interconnected and proportionally related, regardless of type 2 diabetes.
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