Evidence map›Paper›PMID 22424433›Full record

ReviewTranslational research : the journal of laboratory and clinical medicine2012

Biomarkers in diabetes: hemoglobin A1c, vascular and tissue markers.

Timothy J Lyons, Arpita Basu

Abstract readReview
In one paragraph

Review in Translational research : the journal of laboratory and clinical medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

109 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Racial/Ethnic Discrimination and Cardiometabolic Diseases: A Systematic Review.Journal of racial and ethnic health disparities · 2024
    Pooled it
  3. Pooled it
  4. Pooled it
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  6. Pooled it
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Inflammatory Biomarkers in Diabetic Macular Edema.Journal of clinical medicine · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Glyoxalase 1 is a proadipogenic gene.The Journal of biological chemistry · 2025
    Article
  20. Article

49 more citing papers are in PubMed but not listed here.

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

2 authors.

Timothy J LyonsHarold Hamm Diabetes Center and Section of Endocrinology and Diabetes, University of Oklahoma Health Sciences Center, 1000 N. Lincoln Blvd., Oklahoma City, OK 73104-5020, USA. timothy-lyons@ouhsc.edu
Arpita Basu

Funding

GLYCOXIDATION AND DIABETIC RETINOPATHYR29EY010697 · NEI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LYONS, TIMOTHY J · 1994 to 1998
–
NEI NIH HHS R29 EY010697
6 · The paper itself

Abstract

Biomarkers are conventionally defined as "biological molecules that represent health and disease states." They typically are measured in readily available body fluids (blood or urine), lie outside the causal pathway, are able to detect subclinical disease, and are used to monitor clinical and subclinical disease burden and response to treatments. Biomarkers can be "direct" endpoints of the disease itself, or "indirect" or surrogate endpoints. New technologies (such as metabolomics, proteomics, genomics) bring a wealth of opportunity to develop new biomarkers. Other new technologies enable the development of nonmolecular, functional, or biophysical tissue-based biomarkers. Diabetes mellitus is a complex disease affecting almost every tissue and organ system, with metabolic ramifications extending far beyond impaired glucose metabolism. Biomarkers may reflect the presence and severity of hyperglycemia (ie, diabetes itself) or the presence and severity of the vascular complications of diabetes. Illustrative examples are considered in this brief review. In blood, hemoglobin A1c (HbA1c) may be considered as a biomarker for the presence and severity of hyperglycemia, implying diabetes or prediabetes, or, over time, as a "biomarker for a risk factor," ie, hyperglycemia as a risk factor for diabetic retinopathy, nephropathy, and other vascular complications of diabetes. In tissues, glycation and oxidative stress resulting from hyperglycemia and dyslipidemia lead to widespread modification of biomolecules by advanced glycation end products (AGEs). Some of these altered species may serve as biomarkers, whereas others may lie in the causal pathway for vascular damage. New noninvasive technologies can detect tissue damage mediated by AGE formation: these include indirect measures such as pulse wave analysis (a marker of vascular dysfunction) and more direct markers such as skin autofluorescence (a marker of long-term accumulation of AGEs). In the future, we can be optimistic that new blood and tissue-based biomarkers will enable the detection, prevention, and treatment of diabetes and its complications long before overt disease develops.

Indexed as

BiomarkersDiabetes ComplicationsDiabetes MellitusGenomicsGlycated HemoglobinHumansMetabolomicsProteomicsBiomarkersGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID22424433
PMCPMC3339236

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.