Evidence map›Paper›PMID 28360826›Full record

ArticleClinical proteomics2017

Glycated lysine-141 in haptoglobin improves the diagnostic accuracy for type 2 diabetes mellitus in combination with glycated hemoglobin HbA

Sandro Spiller, Yichao Li, Matthias Blüher, Lonnie Welch, Ralf Hoffmann

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

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  12. Maillard Proteomics: Opening New Pages.International journal of molecular sciences · 2017
    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

5 authors at 2 institutions in 2 countries.

Sandro SpillerInstitute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, Leipzig, Germany.
Yichao LiSchool of Electrical Engineering and Computer Science, Ohio University, Athens, OH USA.
Matthias BlüherDepartment for Internal Medicine, Clinic for Endocrinology and Nephrology, University Hospital Leipzig, Universität Leipzig, Leipzig, Germany.
Lonnie WelchSchool of Electrical Engineering and Computer Science, Ohio University, Athens, OH USA.
Ralf HoffmannInstitute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, Leipzig, Germany.
Leipzig University · DEOhio University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent epidemiological studies indicate that only 30-50% of undiagnosed type 2 diabetes mellitus (T2DM) patients are identified using glycated hemoglobin (HbA

methodsHere, we studied the glycation degrees of 27 glycation sites representing nine plasma proteins in 48 newly diagnosed male T2DM patients and 48 non-diabetic men matched for age (range 35-65 years). Samples were digested with trypsin and enriched for glycated peptides using boronic acid affinity chromatography. Quantification relied on mass spectrometry (multiple reaction monitoring) using isotope-labelled peptides as internal standard.

resultsThe combination of glycated lysine-141 of haptoglobin (HP K141) and HbA

conclusionsOur studies demonstrated the great potential of glycation sites in plasma proteins providing an additional diagnostic tool for T2DM and elucidating that the combination of these sites with HbA

Indexed as

BiomarkerFasting plasma glucose (FPG)Glycation sitesHbA1cMultiple reaction monitoring (MRM)Plasma proteinsProtein glycationType 2 diabetes mellitus

Identifiers

PMID28360826
PMCPMC5370432
OpenAlexW2601989611

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.