Evidence map›Paper›PMID 38016044›Full record

ArticleJournal of the American Society for Mass Spectrometry2024

NanoLC-timsTOF-Assisted Analysis of Glycated Albumin in Diabetes-Affected Plasma and Tears.

Yanqi Tan, Eduardo De La Toba, Stanislav S Rubakhin, Leanne T Labriola, Christine Canfield, Dipanjan Pan, Jonathan V Sweedler

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

7 authors at 3 institutions in 1 country.

Yanqi TanDepartment of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Eduardo De La TobaDepartment of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0002-6590-2115
Stanislav S RubakhinDepartment of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0003-0437-1493
Leanne T LabriolaCarle Foundation Hospital, Urbana, Illinois 61801, United States.
Christine CanfieldCarle Foundation Hospital, Urbana, Illinois 61801, United States.
Dipanjan PanDepartment of Nuclear Engineering and Materials Science and Engineering, Pennsylvania State University, State College, Pennsylvania 16802, United States.
Jonathan V SweedlerDepartment of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0003-3107-9922
University of Illinois Urbana-Champaign · USCarle Foundation Hospital · USPennsylvania State University · US

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Elena V Romanova · 2004 to 2026
$24.9M
NIDA NIH HHS P30 DA018310
6 · The paper itself

Abstract

Glycation is a spontaneous and nonenzymatic glycosylation. Glycated albumin (GA), which serves as an important biomarker in plasma in the diagnosis and characterization of diabetes, can be passively filtered from the plasma to tears. Tears are important targets for research in clinical diagnostics due to the ability to collect this biofluid noninvasively and repeatably. Therefore, the analysis of GA in tear film provides information for monitoring diabetes progression independent of blood pathologies. Due to the limited volume (1-5 μL) of natural tear film, we developed a small volume assay using a nano liquid chromatography-trapped ion mobility spectrometry-time-of-flight MS (nanoLC-timsTOF) platform for the analysis of glycated albumin in human plasma and tear films affected by diabetes. The peptides containing lysine 525, which is the main glycation site in GA, were relatively quantified and represented as the GA level. The results of the measurements showed that GA levels were significantly higher in diabetes-affected plasma and tears compared to controls with a

Indexed as

Diabetes MellitusLysineBiomarkersBlood GlucoseGlycated HemoglobinGlycated Serum AlbuminGlycation End Products, AdvancedHumansSerum AlbuminBiomarkersBlood GlucoseGlycated HemoglobinGlycated Serum AlbuminGlycation End Products, AdvancedLysineSerum Albumin

Identifiers

PMID38016044
PMCPMC10843563
OpenAlexW4389076129

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.