Cited by 20Advanced Glycation End Products researchAdipokines, Inflammation, and Metabolic DiseasesPotato Plant Research

Association between Advanced Glycation End Products and Impaired Fasting Glucose: Results from the SALIA Study

Open access
Teichert, Tom, Hellwig, Anne, Peßler, Annette, Hellwig, Michael, Vossoughi, Mohammad, Sugiri, Dorothea, Vierkötter, Andrea, Schulte, Thomas +8 more·2015·PLOS ONE

Abstract

Advanced glycation end products (AGEs) may contribute to the development of type 2 diabetes and related complications, whereas their role in the early deterioration of glycaemia is unknown. While previous studies used antibody-based methods to quantify AGEs, data from tandem mass spectrometry coupled liquid chromatography (LC-MS/MS)-based measurements are limited to patients with known diabetes. Here, we used the LC-MS/MS method to test the hypothesis that plasma AGE levels are higher in individuals with impaired fasting glucose (IFG) than in those with normal fasting glucose (NFG). Secondary aims were to assess correlations of plasma AGEs with quantitative markers of glucose metabolism and biomarkers of subclinical inflammation. This study included on 60 women with NFG or IFG (n = 30 each, mean age 74 years) from the German SALIA cohort. Plasma levels of free metabolites (3-deoxyfructose, 3-deoxypentosone, 3-deoxypentulose), two hydroimidazolones, oxidised adducts (carboxymethyllysine, carboxyethyllysine, methionine sulfoxide) and Nε-fructosyllysine were measured using LC-MS/MS. Plasma concentrations of all tested AGEs did not differ between the NFG and IFG groups (all p>0.05). Associations between plasma levels of AGEs and fasting glucose, insulin and HOMA-IR as a measure of insulin resistance were weak (r between -0.2 and 0.2, all p>0.05). The association between 3-deoxyglucosone-derived hydroimidazolone with several proinflammatory biomarkers disappeared upon adjustment for multiple testing. In conclusion, plasma AGEs assessed by LC-MS/MS were neither increased in IFG nor associated with parameters of glucose metabolism and subclinical inflammation in our study. Thus, these data argue against strong effects of AGEs in the early stages of deterioration of glucose metabolism.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0128293

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In women, free plasma CML levels did not differ between those with normal fasting glucose and those with impaired fasting glucose (n = 30 per group), measured by LC-MS/MS.

    “| Prediabetes | Plasma | Women with normal fasting glucose vs. women with impaired fasting glucose (n = 30 per group) | LC-MS/MS | No difference between groups in free CML levels | [169] |”

    From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [169]

    The Results section (‘AGE levels in individuals with NFG and IFG’; page not provided) reports no significant difference in plasma CML between women with normal and impaired fasting glucose, with 30 women per group. However, the Methods (‘Measurement of AGEs’; page not provided) say CML was measured by LC-MS/MS after hydrolysis of plasma proteins; they do not identify it as free plasma CML. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Teichert, T., Hellwig, A., Peßler, A., Hellwig, M., Vossoughi, M., Sugiri, D., Vierkötter, A., Schulte, T., Freund, J., Roden, M., Hoffmann, B., Schikowski, T., Luckhaus, C., Krämer, U., Henle, T., & Herder, C.
Affiliations
  • Deutsches Diabetes-Zentrum e.V. (DE)
  • Technische Universität Dresden (DE)
  • Leibniz Institute of Environmental Medicine (DE)
  • Heinrich Heine University Düsseldorf (DE)
  • Swiss Tropical and Public Health Institute (CH)
Corresponding author
Herder, Christian
Venue
PLOS ONE
Published
2015-05-27
Volume
10
Issue
5
Pages
e0128293
ISSN
1932-6203 (ISSN-L)
OpenAlex
W744628948
Cited by
20
References
63
Citations by year
2025: 2 · 2023: 2 · 2021: 5 · 2019: 4 · 2018: 2 · 2017: 4 · 2015: 1
FWCI
1.64
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • edoc (University of Basel) (acceptedVersion)
  • Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • edoc (University of Basel)
Funders
  • Deutsche Forschungsgemeinschaft (HE-4510/2-1, KR 1938/3-1, LU 691/4-1, HE-4510, HE-4510/2-1, LU 691/4-1, 1938/3-1, 4510/2-1, 691/4-1, KR 1938/3-1, LU 691, KR 1938)
  • Bundesministerium für Bildung und Forschung (KR 1938/3-1, HE-4510/2-1)
  • Technische Universität Dresden
  • Bundesministerium für Gesundheit
  • Deutsche Gesetzliche Unfallversicherung (KR 1938/3-1, LU 691/4-1, HE-4510/2-1)
  • Leibniz-Gemeinschaft
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Potato Plant Research
Keywords
advanced glycation end products, impaired fasting glucose, type 2 diabetes, insulin resistance, HOMA-IR, subclinical inflammation, 3-deoxyglucosone, hydroimidazolone, carboxymethyllysine, methionine sulfoxide, glucose metabolism, older women
MeSH terms
Aged, Blood Glucose, Chromatography, Liquid, Cross-Sectional Studies, Deoxyglucose, Fasting, Female, Glucose, Humans, Inflammation, Insulin, Insulin Resistance, Pilot Projects, Prediabetic State, Biomarkers, Glycation End Products, Advanced, Tandem Mass Spectrometry

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review