Evidence map›Paper›PMID 26739237›Full record

ArticleJournal of diabetes and its complications2016

Analysis of advanced glycation end products in the DHS Mind Study.

Jeremy N Adams, Susan E Martelle, Laura M Raffield, Barry I Freedman, Carl D Langefeld, Fang-Chi Hsu, Joseph A Maldjian, Jeff D Williamson, Christina E Hugenschmidt, J Jeffery Carr and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes and its complications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Zinc as a Biomarker of Cardiovascular Health.Frontiers in nutrition · 2021
    Review
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

12 authors at 2 institutions in 2 countries.

Jeremy N AdamsCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston - Salem, NC, USA.
Susan E MartelleCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston - Salem, NC, USA.
Laura M RaffieldCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston - Salem, NC, USA.
Barry I FreedmanDepartment of Internal Medicine, Nephrology, Wake Forest School of Medicine, Winston - Salem, NC, USA.
Carl D LangefeldDepartment of Biostatistical Sciences, Wake Forest University Health Sciences, Winston Salem, North Carolina.
Fang-Chi HsuDepartment of Biostatistical Sciences, Wake Forest University Health Sciences, Winston Salem, North Carolina.
Joseph A MaldjianRadiologic Sciences and Advanced NeuroScience Imaging (ANSIR) Laboratory, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Jeff D WilliamsonDepartment of Internal Medicine, Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston - Salem, NC, USA.
Christina E HugenschmidtDepartment of Internal Medicine, Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston - Salem, NC, USA.
J Jeffery CarrCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston - Salem, NC, USA.
Amanda J CoxMolecular Basis of Disease, Griffith University, Southport, QLD, Australia.
Donald W BowdenCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston - Salem, NC, USA. Electronic address: dbowden@wakehealth.edu.
Wake Forest University · USGriffith University · AU

Funding

WORKER PROTECTION AGAINST AIRBORNE INFLUENZA - A PILOT STUDYM01RR007122 · NCRR · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUNDLEY, WILLIAM GREGORY · 1992 to 2010
$35.2M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Epidemiology of cardiovascular disease in diabetesR01HL067348 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2001 to 2004
$4.3M
Genetic Epidemiology of Cerebrovascular Disease and Cognition in DiabetesR01NS058700 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2008 to 2012
$3.0M
Whole Genome Association Analysis of the Diabetes Heart StudyR01HL092301 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2010 to 2013
$2.7M
Cognitive/Brain Effects of Adding Weight Loss to Exercise in Obese Older AdultsK01AG043547 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGENSCHMIDT, CHRISTINA E · 2013 to 2017
$609k
Genetic and imaging analysis of cerebrovascular disease and cognition in diabetesF32DK083214 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGENSCHMIDT, CHRISTINA E · 2008 to 2011
$157k
Analysis of Coding Variants Associated with Age-Related PhenotypesF31AG044879 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RAFFIELD, LAURA M · 2013 to 2015
$86k
NCATS NIH HHS UL1 TR001420NCRR NIH HHS M01 RR007122NHLBI NIH HHS R01 HL067348NHLBI NIH HHS R01 HL092301NHLBI NIH HHS R01 HL67348NIA NIH HHS F31 AG044879NIA NIH HHS K01 AG043547NIDDK NIH HHS F32 DK083214NIDDK NIH HHS F32 DK083214-01NINDS NIH HHS R01 NS058700
6 · The paper itself

Abstract

aimsHuman studies of links between advanced glycation end-products (AGEs) and disease phenotypes are less common than studies of animal and cell models. Here, we examined the association of total AGEs with diabetes risk factors in a predominately type 2 diabetes (T2D) affected cohort.

methodsAGEs were measured using an enzyme linked immunosorbant assay in 816 individuals from the DHS Mind Study (n=709 T2D affected), and association analyses were completed.

resultsTotal AGEs were associated with estimated glomerular filtration rate (p=0.0054; β=-0.1291) and coronary artery calcification (p=0.0352; β=1.1489) in the entire cohort. No significant associations were observed when individuals with T2D were analyzed separately. In individuals without T2D, increased circulating AGEs were associated with increased BMI (p=0.02, β=0.138), low density lipoproteins (p=0.046, β=17.07) and triglycerides (p=0.0004, β=0.125), and decreased carotid artery calcification (p=0.0004, β=-1.2632) and estimated glomerular filtration rate (p=0.0018, β=-0.1405). Strong trends were also observed for an association between AGEs and poorer cognitive performance on the digit symbol substitution test (p=0.046, β=-6.64) and decreased grey matter volume (p=0.037, β=-14.87).

conclusionsAGEs may play an important role in a number of phenotypes and diseases, although not necessarily in interindividual variation in people with T2D. Further evaluation of specific AGE molecules may shed more light on these relationships.

Indexed as

AgedCognitionCohort StudiesCoronary Artery DiseaseDiabetes Mellitus, Type 2Diabetic AngiopathiesFemaleFunctional NeuroimagingGlycation End Products, AdvancedHumansMaleMiddle AgedNeuropsychological TestsGlycation End Products, AdvancedAdvanced glycation end productsCardiovascular diseaseCognitionGrey matter volumeNeuroimagingType 2 diabetes

Identifiers

PMID26739237
PMCPMC4761276
OpenAlexW2185720784

What OpenQuestion holds

Textmetadata
LicenceTDM
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.