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Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls

Deep venous thrombosis (DVT) is associated with significant morbidity and mortality. Studies on changes in the level of metabolites could have the potential to reveal biomarkers that can assist in the early detection, diagnosis, monitoring of DVT progression, response to treatment, or recurrence of...

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Autores principales: Escobar, Melissa Quintero, Tasic, Ljubica, da Costa, Tassia Brena Barroso Carneiro, Stanisic, Danijela, Montalvão, Silmara, Huber, Stephany, Annichino-Bizzacchi, Joyce Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704499/
https://www.ncbi.nlm.nih.gov/pubmed/34940632
http://dx.doi.org/10.3390/metabo11120874
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author Escobar, Melissa Quintero
Tasic, Ljubica
da Costa, Tassia Brena Barroso Carneiro
Stanisic, Danijela
Montalvão, Silmara
Huber, Stephany
Annichino-Bizzacchi, Joyce Maria
author_facet Escobar, Melissa Quintero
Tasic, Ljubica
da Costa, Tassia Brena Barroso Carneiro
Stanisic, Danijela
Montalvão, Silmara
Huber, Stephany
Annichino-Bizzacchi, Joyce Maria
author_sort Escobar, Melissa Quintero
collection PubMed
description Deep venous thrombosis (DVT) is associated with significant morbidity and mortality. Studies on changes in the level of metabolites could have the potential to reveal biomarkers that can assist in the early detection, diagnosis, monitoring of DVT progression, response to treatment, or recurrence of DVT. In this scenario, the metabolomic analysis can provide a better understanding of the biochemical dysregulations of thrombosis. Using an untargeted metabolomic approach through magnetic resonance spectroscopy and multi- and univariate statistical analysis, we compared 40 patients with previous venous thrombosis and 40 healthy individuals, and we showed important serum differences between patients and controls, especially in the spectral regions that correspond to glucose, lipids, unsaturated lipids, and glycoprotein A. Considering the groups depending on risk factors and the local of the previous episode (lower limbs or cerebral system), we also noticed differences in metabolites linked to lipids and lactate. Comparative analyses pointed to altered ratios of glucose/lactate and branched-chain amino acids (BCAAs)/alanine, which might be associated with the fingerprints of thrombosis. Although samples for metabolomic analysis were collected months after the acute episode, these results highlighted that, alterations can still remain and may contribute to a better understanding of the complications of the disease.
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spelling pubmed-87044992021-12-25 Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls Escobar, Melissa Quintero Tasic, Ljubica da Costa, Tassia Brena Barroso Carneiro Stanisic, Danijela Montalvão, Silmara Huber, Stephany Annichino-Bizzacchi, Joyce Maria Metabolites Article Deep venous thrombosis (DVT) is associated with significant morbidity and mortality. Studies on changes in the level of metabolites could have the potential to reveal biomarkers that can assist in the early detection, diagnosis, monitoring of DVT progression, response to treatment, or recurrence of DVT. In this scenario, the metabolomic analysis can provide a better understanding of the biochemical dysregulations of thrombosis. Using an untargeted metabolomic approach through magnetic resonance spectroscopy and multi- and univariate statistical analysis, we compared 40 patients with previous venous thrombosis and 40 healthy individuals, and we showed important serum differences between patients and controls, especially in the spectral regions that correspond to glucose, lipids, unsaturated lipids, and glycoprotein A. Considering the groups depending on risk factors and the local of the previous episode (lower limbs or cerebral system), we also noticed differences in metabolites linked to lipids and lactate. Comparative analyses pointed to altered ratios of glucose/lactate and branched-chain amino acids (BCAAs)/alanine, which might be associated with the fingerprints of thrombosis. Although samples for metabolomic analysis were collected months after the acute episode, these results highlighted that, alterations can still remain and may contribute to a better understanding of the complications of the disease. MDPI 2021-12-16 /pmc/articles/PMC8704499/ /pubmed/34940632 http://dx.doi.org/10.3390/metabo11120874 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Escobar, Melissa Quintero
Tasic, Ljubica
da Costa, Tassia Brena Barroso Carneiro
Stanisic, Danijela
Montalvão, Silmara
Huber, Stephany
Annichino-Bizzacchi, Joyce Maria
Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls
title Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls
title_full Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls
title_fullStr Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls
title_full_unstemmed Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls
title_short Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls
title_sort serum metabolic profiles based on nuclear magnetic resonance spectroscopy among patients with deep vein thrombosis and healthy controls
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704499/
https://www.ncbi.nlm.nih.gov/pubmed/34940632
http://dx.doi.org/10.3390/metabo11120874
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