Evidence mapPaperPMID 40825821Full record

ArticleScientific reports2025

Non-invasive evaluation of advanced glycation end products in hair as early markers of diabetes and aging.

Sayuri Kato, You Satoh, Ayumi Okamoto, Ryoji Nagai

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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

1 citing paper in PubMed.

  1. 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

4 authors.

Sayuri KatoGraduate School of Bioscience, Tokai University, Tokai, Japan.
You SatohGraduate School of Agriculture, Tokai University, Tokai, Japan.
Ayumi OkamotoLiving Appliances and Solutions Company, Panasonic Corporation, Meguro, Tokyo, Japan.
Ryoji NagaiGraduate School of Bioscience, Tokai University, Tokai, Japan. nagai-883@umin.ac.jp.

Funding

Japan Society for the Promotion of Science 20K05895
6 · The paper itself

Abstract

Continuous metabolic monitoring is essential for assessing lifestyle-related disease risks. Hair, an easily accessible tissue, allows for long-term metabolic evaluation, with glycated proteins linked to diabetic complications found in hair. We established a mass spectrometry system to detect advanced glycation end products (AGEs) in hair samples from humans and rats, assessing their variations with aging and disease. Hair samples were hydrolyzed and processed using a cation-exchange column for mass spectrometric analysis. Regardless of temperature variations, the levels of AGEs [N

Indexed as

AgingDiabetes Mellitus, ExperimentalGlycation End Products, AdvancedHairAdultAgedAnimalsBiomarkersFemaleHumansLysineMaleMass SpectrometryMiddle AgedRatsRats, Sprague-DawleyBiomarkersGlycation End Products, AdvancedLysineN(6)-carboxymethyllysineAdvanced glycation end productsDiabetesHairMass spectrometryNon-invasive method

Identifiers

PMID40825821
PMCPMC12361466

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.