Evidence map›Paper›PMID 29710851›Full record

ArticlePharmaceuticals (Basel, Switzerland)2018

Diagnostic Accuracy of Protein Glycation Sites in Long-Term Controlled Patients with Type 2 Diabetes Mellitus and Their Prognostic Potential for Early Diagnosis.

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

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Sandro SpillerInstitute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy and Center for Biotechnology Biomedicine, Universität Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany. sandro.spiller@uni-leipzig.de.
Yichao LiSchool of Electrical Engineering and Computer Science, Ohio University, Stocker Center 354, Athens 45701, OH, USA. yl079811@ohio.edu.ORCID 0000-0001-5791-096X
Matthias BlüherDepartment of Medicine, Endocrinology and Nephrology, Universität Leipzig, Liebigstr. 21, 04103 Leipzig, Germany. Matthias.Blueher@medizin.uni-leipzig.de.
Lonnie WelchSchool of Electrical Engineering and Computer Science, Ohio University, Stocker Center 354, Athens 45701, OH, USA. welch@ohio.edu.ORCID 0000-0001-5791-096X
Ralf HoffmannInstitute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy and Center for Biotechnology Biomedicine, Universität Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany. bioanaly@rz.uni-leipzig.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current screening tests for type 2 diabetes mellitus (T2DM) identify less than 50% of undiagnosed T2DM patients and provide no information about how the disease will develop in prediabetic patients. Here, twenty-nine protein glycation sites were quantified after tryptic digestion of plasma samples at the peptide level using tandem mass spectrometry and isotope-labelled peptides as internal standard. The glycation degrees were determined in three groups, i.e., 48 patients with a duration of T2DM exceeding ten years, 48 non-diabetic individuals matched for gender, BMI, and age, and 20 prediabetic men. In long-term controlled diabetic patients, 27 glycated peptides were detected at significantly higher levels, providing moderate diagnostic accuracies (ACCs) from 61 to 79%, allowing a subgrouping of patients in three distinct clusters. Moreover, a feature set of one glycated peptides and six established clinical parameters provided an ACC of 95%. The same number of clusters was identified in prediabetic males (ACC of 95%) using a set of eight glycation sites (mostly from serum albumin). All patients present in one cluster showed progression of prediabetic state or advanced towards diabetes in the following five years. Overall, the studied glycation sites appear to be promising biomarkers for subgrouping prediabetic patients to estimate their risk for the development of T2DM.

Indexed as

biomarkerfasting plasma glucose (FPG)glycated hemoglobin (HbA1c)glycation sitesmultiple reaction monitoring (MRM)plasma proteinstype 2 diabetes mellitus (T2DM)

Identifiers

PMID29710851
PMCPMC6027301

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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.