Evidence map›Paper›PMID 21402800›Full record

ArticleClinical chemistry2011

Building multidimensional biomarker views of type 2 diabetes on the basis of protein microheterogeneity.

Chad R Borges, Paul E Oran, Sai Buddi, Jason W Jarvis, Matthew R Schaab, Douglas S Rehder, Stephen P Rogers, Thomas Taylor, Randall W Nelson

Open access · bronzeAbstract read
In one paragraph

Article in Clinical chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Maillard Proteomics: Opening New Pages.International journal of molecular sciences · 2017
    Review
  5. Review
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  7. Unexpected crosslinking and diglycation as advanced glycation end-products from glyoxal.Journal of the American Society for Mass Spectrometry · 2014
    Article
  8. Article
  9. Review
  10. Article
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  13. Article
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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

9 authors at 1 institution in 1 country.

Chad R BorgesMolecular Biomarkers, The Biodesign Institute at Arizona State University, Tempe, AZ, USA.
Paul E Oran
Sai Buddi
Jason W Jarvis
Matthew R Schaab
Douglas S Rehder
Stephen P Rogers
Thomas Taylor
Randall W Nelson
Arizona State University · US

Funding

Population-Based Proteomic Investigation of Type 2 Diabetes MellitusR01DK082542 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NELSON, RANDALL W · 2010 to 2014
$3.0M
Team Approach to Translate Novel Biomarkers for DiabetesR24DK083948 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NELSON, RANDALL W · 2009 to 2009
$467k
NIDDK NIH HHS R01 DK082542NIDDK NIH HHS R01DK082542NIDDK NIH HHS R24 DK083948NIDDK NIH HHS R24DK083948
6 · The paper itself

Abstract

backgroundIn 2008, the US Food and Drug Administration (FDA) issued a Guidance for Industry statement formally recognizing (during drug development) the conjoined nature of type 2 diabetes (T2D) and cardiovascular disease (CVD), which has precipitated an urgent need for panels of markers (and means of analysis) that are able to differentiate subtypes of CVD in the context of T2D. Here, we explore the possibility of creating such panels using the working hypothesis that proteins, in addition to carrying time-cumulative marks of hyperglycemia (e.g., protein glycation in the form of Hb A(₁c)), may carry analogous information with regard to systemic oxidative stress and aberrant enzymatic signaling related to underlying pathobiologies involved in T2D and/or CVD.

methodsWe used mass spectrometric immunoassay to quantify, in targeted fashion, relative differences in the glycation, oxidation, and truncation of 11 specific proteins.

resultsProtein oxidation and truncation (owing to modified enzymatic activity) are able to distinguish between subsets of diabetic patients with or without a history of myocardial infarction and/or congestive heart failure where markers of glycation alone cannot.

conclusionMarkers based on protein modifications aligned with the known pathobiologies of T2D represent a reservoir of potential cardiovascular markers that are needed to develop the next generation of antidiabetes medications.

Indexed as

BiomarkersDiabetes Mellitus, Type 2GlycosylationHeart FailureHumansImmunoassayMyocardial InfarctionOxidation-ReductionPoint MutationPrincipal Component AnalysisProtein Processing, Post-TranslationalProteomeSpectrometry, Mass, Electrospray IonizationSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkersProteome

Identifiers

PMID21402800
PMCPMC3761388
OpenAlexW2136853022

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.