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Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model

BACKGROUND: Determinations of thyrotropin (TSH) and free thyroxine (FT(4)) represent the gold standard in evaluation of thyroid function. To screen for novel peripheral biomarkers of thyroid function and to characterize FT(4)-associated physiological signatures in human plasma we used an untargeted...

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Autores principales: Pietzner, Maik, Engelmann, Beatrice, Kacprowski, Tim, Golchert, Janine, Dirk, Anna-Luise, Hammer, Elke, Iwen, K. Alexander, Nauck, Matthias, Wallaschofski, Henri, Führer, Dagmar, Münte, Thomas F., Friedrich, Nele, Völker, Uwe, Homuth, Georg, Brabant, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5220622/
https://www.ncbi.nlm.nih.gov/pubmed/28065164
http://dx.doi.org/10.1186/s12916-016-0770-8
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author Pietzner, Maik
Engelmann, Beatrice
Kacprowski, Tim
Golchert, Janine
Dirk, Anna-Luise
Hammer, Elke
Iwen, K. Alexander
Nauck, Matthias
Wallaschofski, Henri
Führer, Dagmar
Münte, Thomas F.
Friedrich, Nele
Völker, Uwe
Homuth, Georg
Brabant, Georg
author_facet Pietzner, Maik
Engelmann, Beatrice
Kacprowski, Tim
Golchert, Janine
Dirk, Anna-Luise
Hammer, Elke
Iwen, K. Alexander
Nauck, Matthias
Wallaschofski, Henri
Führer, Dagmar
Münte, Thomas F.
Friedrich, Nele
Völker, Uwe
Homuth, Georg
Brabant, Georg
author_sort Pietzner, Maik
collection PubMed
description BACKGROUND: Determinations of thyrotropin (TSH) and free thyroxine (FT(4)) represent the gold standard in evaluation of thyroid function. To screen for novel peripheral biomarkers of thyroid function and to characterize FT(4)-associated physiological signatures in human plasma we used an untargeted OMICS approach in a thyrotoxicosis model. METHODS: A sample of 16 healthy young men were treated with levothyroxine for 8 weeks and plasma was sampled before the intake was started as well as at two points during treatment and after its completion, respectively. Mass spectrometry-derived metabolite and protein levels were related to FT(4) serum concentrations using mixed-effect linear regression models in a robust setting. To compile a molecular signature discriminating between thyrotoxicosis and euthyroidism, a random forest was trained and validated in a two-stage cross-validation procedure. RESULTS: Despite the absence of obvious clinical symptoms, mass spectrometry analyses detected 65 metabolites and 63 proteins exhibiting significant associations with serum FT(4). A subset of 15 molecules allowed a robust and good prediction of thyroid hormone function (AUC = 0.86) without prior information on TSH or FT(4). Main FT(4)-associated signatures indicated increased resting energy expenditure, augmented defense against systemic oxidative stress, decreased lipoprotein particle levels, and increased levels of complement system proteins and coagulation factors. Further association findings question the reliability of kidney function assessment under hyperthyroid conditions and suggest a link between hyperthyroidism and cardiovascular diseases via increased dimethylarginine levels. CONCLUSION: Our results emphasize the power of untargeted OMICs approaches to detect novel pathways of thyroid hormone action. Furthermore, beyond TSH and FT(4), we demonstrated the potential of such analyses to identify new molecular signatures for diagnosis and treatment of thyroid disorders. This study was registered at the German Clinical Trials Register (DRKS) [DRKS00011275] on the 16th of November 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-016-0770-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-52206222017-01-11 Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model Pietzner, Maik Engelmann, Beatrice Kacprowski, Tim Golchert, Janine Dirk, Anna-Luise Hammer, Elke Iwen, K. Alexander Nauck, Matthias Wallaschofski, Henri Führer, Dagmar Münte, Thomas F. Friedrich, Nele Völker, Uwe Homuth, Georg Brabant, Georg BMC Med Research Article BACKGROUND: Determinations of thyrotropin (TSH) and free thyroxine (FT(4)) represent the gold standard in evaluation of thyroid function. To screen for novel peripheral biomarkers of thyroid function and to characterize FT(4)-associated physiological signatures in human plasma we used an untargeted OMICS approach in a thyrotoxicosis model. METHODS: A sample of 16 healthy young men were treated with levothyroxine for 8 weeks and plasma was sampled before the intake was started as well as at two points during treatment and after its completion, respectively. Mass spectrometry-derived metabolite and protein levels were related to FT(4) serum concentrations using mixed-effect linear regression models in a robust setting. To compile a molecular signature discriminating between thyrotoxicosis and euthyroidism, a random forest was trained and validated in a two-stage cross-validation procedure. RESULTS: Despite the absence of obvious clinical symptoms, mass spectrometry analyses detected 65 metabolites and 63 proteins exhibiting significant associations with serum FT(4). A subset of 15 molecules allowed a robust and good prediction of thyroid hormone function (AUC = 0.86) without prior information on TSH or FT(4). Main FT(4)-associated signatures indicated increased resting energy expenditure, augmented defense against systemic oxidative stress, decreased lipoprotein particle levels, and increased levels of complement system proteins and coagulation factors. Further association findings question the reliability of kidney function assessment under hyperthyroid conditions and suggest a link between hyperthyroidism and cardiovascular diseases via increased dimethylarginine levels. CONCLUSION: Our results emphasize the power of untargeted OMICs approaches to detect novel pathways of thyroid hormone action. Furthermore, beyond TSH and FT(4), we demonstrated the potential of such analyses to identify new molecular signatures for diagnosis and treatment of thyroid disorders. This study was registered at the German Clinical Trials Register (DRKS) [DRKS00011275] on the 16th of November 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-016-0770-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-09 /pmc/articles/PMC5220622/ /pubmed/28065164 http://dx.doi.org/10.1186/s12916-016-0770-8 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Pietzner, Maik
Engelmann, Beatrice
Kacprowski, Tim
Golchert, Janine
Dirk, Anna-Luise
Hammer, Elke
Iwen, K. Alexander
Nauck, Matthias
Wallaschofski, Henri
Führer, Dagmar
Münte, Thomas F.
Friedrich, Nele
Völker, Uwe
Homuth, Georg
Brabant, Georg
Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model
title Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model
title_full Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model
title_fullStr Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model
title_full_unstemmed Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model
title_short Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model
title_sort plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5220622/
https://www.ncbi.nlm.nih.gov/pubmed/28065164
http://dx.doi.org/10.1186/s12916-016-0770-8
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