Evidence map›Paper›PMID 24056972›Full record

ArticleMolecular bioSystems2013

Salivary proteins associated with hyperglycemia in diabetes: a proteomic analysis.

Sompop Bencharit, Sarah Schwartz Baxter, Jim Carlson, Warren C Byrd, Mary Virginia Mayo, Michael B Border, Heidi Kohltfarber, Eugene Urrutia, Escher L Howard-Williams, Steven Offenbacher and 2 more

Open access · greenAbstract read
In one paragraph

Article in Molecular bioSystems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Salivary Proteome Role in Infection and Immunity.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Serum and Saliva Proteome of Dogs with Diabetes Mellitus.Animals : an open access journal from MDPI · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Molecular Regulatory Mechanism of Exocytosis in the Salivary Glands.International journal of molecular sciences · 2018
    Review
  19. Article
  20. 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

12 authors at 2 institutions in 1 country.

Sompop BencharitDepartment of Prosthodontics, School of Dentistry, University of North Carolina, Chapel Hill, NC 27599, USA. Sompop_Bencharit@unc.edu.
Sarah Schwartz Baxter
Jim Carlson
Warren C Byrd
Mary Virginia Mayo
Michael B Border
Heidi Kohltfarber
Eugene Urrutia
Escher L Howard-Williams
Steven Offenbacher
Michael C Wu
John B Buse
University of North Carolina at Chapel Hill · USDavid H. Murdock Research Institute · US

Funding

UNC CLINICAL AND TRANSLATIONAL SCIENCE AWARD: BPCAUL1RR025747 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$44.6M
Role of Programmed Cell Death10 (PDCD10) in p38 MAP kinase activation and PDK1 siR21HL092338 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENCHARIT, SOMPOP · 2009 to 2010
$407k
NCRR NIH HHS UL1 RR025747NCRR NIH HHS UL1RR025747NHLBI NIH HHS HL092338NHLBI NIH HHS R21 HL092338
6 · The paper itself

Abstract

Effective monitoring of glucose levels is necessary for patients to achieve greater control over their diabetes. However, only about a quarter of subjects with diabetes who requires close serum glucose monitoring, regularly check their serum glucose daily. One of the potential barriers to patient compliance is the blood sampling requirement. Saliva and its protein contents can be altered in subjects with diabetes, possibly due to changes in glycemic control. We propose here that salivary proteomes of subjects with diabetes may be different based on their glycemic control as reflected in A1C levels. A total of 153 subjects with type 1 or 2 diabetes were recruited. Subjects in each type of diabetes were divided into 5 groups based on their A1C levels; <7, 7-8, 8-9, 9-10, >10. To examine the global proteomic changes associated with A1C, the proteomic profiling of pooled saliva samples from each group was created using label-free quantitative proteomics. Similar proteomic analysis for individual subjects (N=4, for each group) were then applied to examine proteins that may be less abundant in pooled samples. Principle component analysis (PCA) and cluster analysis (p<0.01 and p<0.001) were used to define the proteomic differences. We, therefore, defined the salivary proteomic changes associated with A1C changes. This study demonstrates that differences exist between salivary proteomic profiles in subjects with diabetes based on the A1C levels.

Indexed as

ProteomicsAdultAgedAmino Acid SequenceAnalysis of VarianceCluster AnalysisDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHyperglycemiaMaleMiddle AgedPrincipal Component AnalysisProteomeGlycated Hemoglobinhemoglobin A1c protein, humanProteomeSalivary Proteins and Peptides

Identifiers

PMID24056972
PMCPMC3888809
OpenAlexW2094820530

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.