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

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 diseas...

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Autores: Herance JR, Ciudin A, Lamas-Domingo R, Aparicio-Gómez C, Hernández C, Simó R, Palomino-Schätzlein M
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Centro de Investigación Principe Felipe (CIPF)
Repositorio:r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
OAI Identifier:oai:cipf.fundanetsuite.com:p4128
Acceso en línea:https://cipf.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4128
Access Level:acceso abierto
Palabra clave:NMR spectroscopy, lipidomics, metabolomics, red blood cells, type 1 diabetes
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spelling The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.Herance JRCiudin ALamas-Domingo RAparicio-Gómez CHernández CSimó RPalomino-Schätzlein MNMR spectroscopy, lipidomics, metabolomics, red blood cells, type 1 diabetesThe 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.MDPI2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://cipf.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4128Journal of Clinical MedicineISSN: 20770383reponame:r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)instname:Centro de Investigación Principe Felipe (CIPF)Inglésinfo:eu-repo/semantics/openAccessoai:cipf.fundanetsuite.com:p41282026-06-17T11:19:47Z
dc.title.none.fl_str_mv The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.
title The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.
spellingShingle The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.
Herance JR
NMR spectroscopy, lipidomics, metabolomics, red blood cells, type 1 diabetes
title_short The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.
title_full The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.
title_fullStr The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.
title_full_unstemmed The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.
title_sort The Footprint of Type 1 Diabetes on Red Blood Cells: A Metabolomic and Lipidomic Study.
dc.creator.none.fl_str_mv Herance JR
Ciudin A
Lamas-Domingo R
Aparicio-Gómez C
Hernández C
Simó R
Palomino-Schätzlein M
author Herance JR
author_facet Herance JR
Ciudin A
Lamas-Domingo R
Aparicio-Gómez C
Hernández C
Simó R
Palomino-Schätzlein M
author_role author
author2 Ciudin A
Lamas-Domingo R
Aparicio-Gómez C
Hernández C
Simó R
Palomino-Schätzlein M
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv NMR spectroscopy, lipidomics, metabolomics, red blood cells, type 1 diabetes
topic NMR spectroscopy, lipidomics, metabolomics, red blood cells, type 1 diabetes
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://cipf.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4128
url https://cipf.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4128
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Journal of Clinical Medicine
ISSN: 20770383
reponame:r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
instname:Centro de Investigación Principe Felipe (CIPF)
instname_str Centro de Investigación Principe Felipe (CIPF)
reponame_str r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
collection r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
repository.name.fl_str_mv
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