Evidence map›Paper›PMID 36675484›Full record

ArticleJournal of clinical medicine2023

The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.

José Raul Herance, Andreea Ciudin, Rubén Lamas-Domingo, Carolina Aparicio-Gómez, Cristina Hernández, Rafael Simó, Martina Palomino-Schätzlein

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Pathophysiology of Red Blood Cell Dysfunction in Diabetes and Its Complications.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    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 2 institutions in 1 country.

José Raul HeranceMedical Molecular Imaging Research Group, Vall d'Hebron Research Institute and Autonomous University of Barcelona, 08035 Barcelona, Spain.ORCID 0000-0001-7178-3290
Andreea CiudinDiabetes and Metabolism Research Unit, Vall d'Hebron Research Institute, Autonomous University of Barcelona, 08035 Barcelona, Spain.
Rubén Lamas-DomingoNMR Facility, Centro de Investigación Príncipe Felipe, 46013 Valencia, Spain.
Carolina Aparicio-GómezMedical Molecular Imaging Research Group, Vall d'Hebron Research Institute and Autonomous University of Barcelona, 08035 Barcelona, Spain.ORCID 0000-0002-0845-2365
Cristina HernándezCIBER-bbn (ISCIII), 28040 Madrid, Spain.ORCID 0000-0002-3109-1721
Rafael SimóCIBER-bbn (ISCIII), 28040 Madrid, Spain.ORCID 0000-0003-0475-3096
Martina Palomino-SchätzleinNMR Facility, Centro de Investigación Príncipe Felipe, 46013 Valencia, Spain.
Universitat Autònoma de Barcelona · ESCentro de Investigacion Principe Felipe · ES

Funding

AGAUR 2017SGR1303Carlos III Health Institute PI16/02064OP ERDF of Comunitat Valenciana 2014-2020
6 · The paper itself

Abstract

The prevalence of diabetes type 1 (T1D) in the world populations is continuously growing. Although treatment methods are improving, the diagnostic is still symptom-based and sometimes far after onset of the disease. In this context, the aim of the study was the search of new biomarkers of the disease in red blood cells (RBCs), until now unexplored. The metabolomic and the lipidomic profile of RBCs from T1D patients and matched healthy controls was determined by NMR spectroscopy, and different multivariate discrimination models were built to select the metabolites and lipids that change most significantly. Relevant metabolites were further confirmed by univariate statistical analysis. Robust separation in the metabolomic and lipidomic profiles of RBCs from patients and controls was confirmed by orthogonal projection on latent structure discriminant analysis (OPLS-DA), random forest analysis, and significance analysis of metabolites (SAM). The main changes were detected in the levels of amino acids, organic acids, creatine and phosphocreatine, lipid change length, and choline derivatives, demonstrating changes in glycolysis, BCAA metabolism, and phospholipid metabolism. Our study proves that robust differences exist in the metabolic and lipidomic profile of RBCs from T1D patients, in comparison with matched healthy individuals. Some changes were similar to alterations found already in RBCs of T2D patients, but others seemed to be specific for type 1 diabetes. Thus, many of the metabolic differences found could be biomarker candidates for an earlier diagnosis or monitoring of patients with T1D.

Indexed as

lipidomicsmetabolomicsNMR spectroscopyred blood cellstype 1 diabetes

Identifiers

PMID36675484
PMCPMC9862852
OpenAlexW4315647315

What OpenQuestion holds

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LicenceCC BY
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.