Evidence map›Paper›PMID 31430927›Full record

ArticleNutrients2019

Determination of Urinary Caffeine Metabolites as Biomarkers for Drug Metabolic Enzyme Activities.

Hyeong Jun Kim, Min Sun Choi, Shaheed Ur Rehman, Young Seok Ji, Jun Sang Yu, Katsunori Nakamura, Hye Hyun Yoo

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Caffeine and Its Antioxidant Properties-It Is All about Dose and Source.International journal of molecular sciences · 2022
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Hyeong Jun KimInstitute of Pharmaceutical Science and Technology and College of Pharmacy, Hanyang University, Ansan-si, Gyeonggi-do 15588, Korea.
Min Sun ChoiInstitute of Pharmaceutical Science and Technology and College of Pharmacy, Hanyang University, Ansan-si, Gyeonggi-do 15588, Korea.
Shaheed Ur RehmanDepartment of Pharmacy, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan.
Young Seok JiInstitute of Pharmaceutical Science and Technology and College of Pharmacy, Hanyang University, Ansan-si, Gyeonggi-do 15588, Korea.
Jun Sang YuInstitute of Pharmaceutical Science and Technology and College of Pharmacy, Hanyang University, Ansan-si, Gyeonggi-do 15588, Korea.
Katsunori NakamuraDepartment of Pharmacy, Ryukyu University Hospital, Okinawa 903-0215, Japan.ORCID 0000-0003-0754-410X
Hye Hyun YooInstitute of Pharmaceutical Science and Technology and College of Pharmacy, Hanyang University, Ansan-si, Gyeonggi-do 15588, Korea. yoohh@hanyang.ac.kr.ORCID 0000-0001-8282-852X
Hanyang University · KRCOMSATS University Islamabad · PK

Funding

National Research Foundation of Korea NRF-2017R1A2B4001814
6 · The paper itself

Abstract

Caffeine is commonly taken via the daily dietary consumption of caffeine-containing foods. The absorbed caffeine is metabolized to yield various metabolites by drug-metabolizing enzymes, and measuring the levels of each caffeine metabolite can provide useful information for evaluating the phenotypes of those enzymes. In this study, the urinary concentrations of caffeine and its 13 metabolites were determined, and the phenotypes of drug metabolic enzymes were investigated based on the caffeine metabolite ratios. Human urine samples were pretreated using solid phase extraction, and caffeine and its metabolites were analyzed using liquid chromatography-tandem mass spectrometry. Based on the urinary caffeine metabolite concentrations, the caffeine metabolite ratios were calculated for six human subjects at specified time points after caffeine intake. Variations in urinary metabolite levels among individuals and time points were reported. In addition, the resultant enzyme activities showed different patterns, depending on the metabolite ratio equations applied. However, some data presented a constant metabolite ratio range, irrespective of time points, even at pre-dose. This suggests the possibility of urinary caffeine metabolite analysis for routine clinical examination. These findings show that urinary caffeine and the metabolite analysis would be useful in evaluating metabolic phenotypes for personalized medicine.

Indexed as

AdultArylamine N-AcetyltransferaseBiomarkersCaffeineChromatography, High Pressure LiquidCytochrome P-450 CYP1A2Cytochrome P-450 CYP2A6HumansMaleMiddle AgedPhenotypeUrinalysisXanthine OxidaseYoung AdultArylamine N-AcetyltransferaseBiomarkersCaffeineCytochrome P-450 CYP1A2Cytochrome P-450 CYP2A6NAT2 protein, humanXanthine OxidasecaffeineCYP450metabolitesNATphenotypingxanthine oxidase

Identifiers

PMID31430927
PMCPMC6723199
OpenAlexW2968066274

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.