Evidence map›Paper›PMID 26192006›Full record

Trial reportDiabetes technology & therapeutics2015

Caffeine Consumption Contributes to Skin Intrinsic Fluorescence in Type 1 Diabetes.

Karen M Eny, Trevor J Orchard, Rachel Grace Miller, John Maynard, Denis M Grant, Tina Costacou, Patricia A Cleary, Barbara H Braffett, Andrew D Paterson, DCCT/EDIC Research Group

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes technology & therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 5 institutions in 3 countries.

Karen M Eny1 Program in Genetics and Genome Biology, Hospital for Sick Children , Toronto, Ontario, Canada .
Trevor J Orchard2 Department of Epidemiology, University of Pittsburgh , Pittsburgh, Pennsylvania.
Rachel Grace Miller2 Department of Epidemiology, University of Pittsburgh , Pittsburgh, Pennsylvania.
John Maynard3 VeraLight, Inc. , Albuquerque, New Mexico.
Denis M Grant4 Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada .
Tina Costacou2 Department of Epidemiology, University of Pittsburgh , Pittsburgh, Pennsylvania.
Patricia A Cleary5 The Biostatistics Center, The George Washington University , Rockville, Maryland.
Barbara H Braffett5 The Biostatistics Center, The George Washington University , Rockville, Maryland.
Andrew D Paterson1 Program in Genetics and Genome Biology, Hospital for Sick Children , Toronto, Ontario, Canada .
DCCT/EDIC Research Group
University of Pittsburgh · USGeorge Washington University · USUniversity of Toronto · CAGreat Ormond Street Hospital · GBnLIGHT (United States) · US

Funding

Limited Competition for the Continuation of Epidemiology of Diabetes Interventions and Complications (EDIC) Study Clinical Research Center (Collaborative U01)U01DK094157 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI Ionut Bebu, Barbara Halina Braffett · 2011 to 2026
$97.6M
Epidemiology of Diabetes Interventions and Complications Data Coordinating CenterU01DK094176 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI BEBU, IONUT, BRAFFETT, BARBARA HALINA · 2012 to 2022
$30.8M
TRANSGENIC COREP60DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI BELL, GRAEME I · 1985 to 2012
$25.5M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI RONALD N COHEN · 2013 to 2026
$20.9M
Epidemiology of Diabetes Complications (EDC) Phase II: renewalR37DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ORCHARD, TREVOR J. · 2009 to 2018
$6.5M
EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
Genome-wide association of common alleles with long-term diabetic complicationsR01DK077510 · NIDDK · HOSPITAL FOR SICK CHLDRN (TORONTO) · PI PATERSON, ANDREW D · 2006 to 2008
$2.3M
EPIDEMIOLOGY OF DIABETES INTERVENTIONS &COMPLICATIONSN01DK062204 · NIDDK · GEORGE WASHINGTON UNIVERSITY · 1996 to 2004
$2.1M
Genetic Studies of Diabetic ComplicationsR01DK077489 · NIDDK · UNIVERSITY OF CHICAGO · PI COX, NANCY J · 2006 to 2008
$1.8M
NIDDK NIH HHS DK 34818NIDDK NIH HHS N01-DK-6-2204NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P60-DK20595NIDDK NIH HHS R01-DK077489NIDDK NIH HHS R01-DK-077510NIDDK NIH HHS R37 DK034818NIDDK NIH HHS U01 DK094157NIDDK NIH HHS U01 DK094176
6 · The paper itself

Abstract

backgroundA variant (rs1495741) in the gene for the N-acetyltransferase 2 (NAT2) protein is associated with skin intrinsic fluorescence (SIF), a noninvasive measure of advanced glycation end products and other fluorophores in the skin. Because NAT2 is involved in caffeine metabolism, we aimed to determine whether caffeine consumption is associated with SIF and whether rs1495741 is associated with SIF independently of caffeine. MATERIALS AND

methodsSIF was measured in 1,181 participants with type 1 diabetes from the Epidemiology of Diabetes Interventions and Complications study. Two measures of SIF were used: SIF1, using a 375-nm excitation light-emitting diode (LED), and SIF14 (456-nm LED). Food frequency questionnaires were used to estimate mean caffeine intake. To establish replication, we examined a second type 1 diabetes cohort.

resultsHigher caffeine intake was significantly associated with higher SIF1(LED 375 nm[0.6, 0.2]) (P=2×10(-32)) and SIF14L(ED 456 nm[0.4, 0.8]) (P=7×10(-31)) and accounted for 4% of the variance in each after adjusting for covariates. When analyzed together, caffeine intake and rs1495741 both remained highly significantly associated with SIF1(LED 375 nm[0.6, 0.2]) and SIF14(LED 456 nm[0.4, 0.8]). Mean caffeinated coffee intake was also positively associated with SIF1(LED 375 nm[0.6, 0.2]) (P=9×10(-12)) and SIF14(LED 456 nm[0.4, 0.8]) (P=4×10(-12)), but no association was observed for decaffeinated coffee intake. Finally, caffeine was also positively associated with SIF1(LED 375 nm[0.6, 0.2]) and SIF14(LED 456 nm[0.4, 0.8]) (P<0.0001) in the replication cohort.

conclusionsCaffeine contributes to SIF. The effect of rs1495741 on SIF appears to be partially independent of caffeine consumption. Because SIF and coffee intake are each associated with cardiovascular disease, our findings suggest that accounting for coffee and/or caffeine intake may improve risk prediction models for SIF and cardiovascular disease in individuals with diabetes.

Indexed as

AdolescentAdultArylamine N-AcetyltransferaseCaffeineCoffeeDiabetes Mellitus, Type 1FemaleFluorescenceGenotypeGlycation End Products, AdvancedHumansMaleSkinYoung AdultArylamine N-AcetyltransferaseCaffeineCoffeeGlycation End Products, AdvancedNAT2 protein, human

Identifiers

PMID26192006
PMCPMC4575521
OpenAlexW965726693

What OpenQuestion holds

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LicenceCC BY-NC
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.