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Metabolic Fingerprint of Acromegaly and Its Potential Usefulness in Clinical Practice
Insulin-like growth factor-1 (IGF-1) and growth hormone (GH) levels are the main targets for monitoring acromegaly activity, but they are not in close relationship with the clinical course of the disease and the associated comorbidities. The present study was aimed at identifying metabolites that co...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832216/ https://www.ncbi.nlm.nih.gov/pubmed/31561638 http://dx.doi.org/10.3390/jcm8101549 |
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author | Biagetti, Betina Herance, J.R. Ferrer, Roser Aulinas, Anna Palomino-Schätzlein, Martina Mesa, Jordi Castaño, J.P. Luque, Raul M. Simó, Rafael |
author_facet | Biagetti, Betina Herance, J.R. Ferrer, Roser Aulinas, Anna Palomino-Schätzlein, Martina Mesa, Jordi Castaño, J.P. Luque, Raul M. Simó, Rafael |
author_sort | Biagetti, Betina |
collection | PubMed |
description | Insulin-like growth factor-1 (IGF-1) and growth hormone (GH) levels are the main targets for monitoring acromegaly activity, but they are not in close relationship with the clinical course of the disease and the associated comorbidities. The present study was aimed at identifying metabolites that could be used as biomarkers for a better disease phenotyping. For this purpose, metabolic fingerprint using an untargeted metabolomic approach was examined in serum from 30 patients with acromegaly and 30 age-matched controls. Patients with acromegaly presented fewer branched-chain amino acids (BCAAs) compared to the control group (valine: 4.75 ± 0.87 vs. 5.20 ± 1.06 arbitrary units (AUs), p < 0.05; isoleucine: 2.54 ± 0.41 vs. 2.80 ± 0.51 AUs; p < 0.05). BCAAs were also lower in patients with active disease compared to patients with normal levels of IGF-1 with or without medical treatment. GH, but not IGF-1, serum levels were inversely correlated with both valine and isoleucine. These findings indicate that low levels of BCAAs represent the main metabolic fingerprint of acromegaly and that GH, rather than IGF-1, might be the primary mediator. In addition, our results suggest that the assessment of BCAAs could help to identify active disease and to monitor the response to therapeutic strategies. |
format | Online Article Text |
id | pubmed-6832216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68322162019-11-21 Metabolic Fingerprint of Acromegaly and Its Potential Usefulness in Clinical Practice Biagetti, Betina Herance, J.R. Ferrer, Roser Aulinas, Anna Palomino-Schätzlein, Martina Mesa, Jordi Castaño, J.P. Luque, Raul M. Simó, Rafael J Clin Med Article Insulin-like growth factor-1 (IGF-1) and growth hormone (GH) levels are the main targets for monitoring acromegaly activity, but they are not in close relationship with the clinical course of the disease and the associated comorbidities. The present study was aimed at identifying metabolites that could be used as biomarkers for a better disease phenotyping. For this purpose, metabolic fingerprint using an untargeted metabolomic approach was examined in serum from 30 patients with acromegaly and 30 age-matched controls. Patients with acromegaly presented fewer branched-chain amino acids (BCAAs) compared to the control group (valine: 4.75 ± 0.87 vs. 5.20 ± 1.06 arbitrary units (AUs), p < 0.05; isoleucine: 2.54 ± 0.41 vs. 2.80 ± 0.51 AUs; p < 0.05). BCAAs were also lower in patients with active disease compared to patients with normal levels of IGF-1 with or without medical treatment. GH, but not IGF-1, serum levels were inversely correlated with both valine and isoleucine. These findings indicate that low levels of BCAAs represent the main metabolic fingerprint of acromegaly and that GH, rather than IGF-1, might be the primary mediator. In addition, our results suggest that the assessment of BCAAs could help to identify active disease and to monitor the response to therapeutic strategies. MDPI 2019-09-26 /pmc/articles/PMC6832216/ /pubmed/31561638 http://dx.doi.org/10.3390/jcm8101549 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Biagetti, Betina Herance, J.R. Ferrer, Roser Aulinas, Anna Palomino-Schätzlein, Martina Mesa, Jordi Castaño, J.P. Luque, Raul M. Simó, Rafael Metabolic Fingerprint of Acromegaly and Its Potential Usefulness in Clinical Practice |
title | Metabolic Fingerprint of Acromegaly and Its Potential Usefulness in Clinical Practice |
title_full | Metabolic Fingerprint of Acromegaly and Its Potential Usefulness in Clinical Practice |
title_fullStr | Metabolic Fingerprint of Acromegaly and Its Potential Usefulness in Clinical Practice |
title_full_unstemmed | Metabolic Fingerprint of Acromegaly and Its Potential Usefulness in Clinical Practice |
title_short | Metabolic Fingerprint of Acromegaly and Its Potential Usefulness in Clinical Practice |
title_sort | metabolic fingerprint of acromegaly and its potential usefulness in clinical practice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832216/ https://www.ncbi.nlm.nih.gov/pubmed/31561638 http://dx.doi.org/10.3390/jcm8101549 |
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