Context: Despite the well-recognized clinical features resulting from insufficient or excessive thyroid hormone (TH) levels in humans, it is largely unknown which genes are regulated by TH in human tissues.Objective: To study the effect of TH on human gene expression profiles in whole blood, mainly consisting of T3 receptor (TR) alpha-expressing cells.Methods: We performed next-generation RNA sequencing on whole blood samples from eight athyroid patients (four females) on and after 4 weeks off levothyroxine replacement. Gene expression changes were analyzed through paired differential expression analysis and confirmed in a validation cohort. Weighted gene coexpression network analysis (WGCNA) was applied to identify thyroid state-related networks.Results: We detected 486 differentially expressed genes (fold-change >1.5; multiple testing corrected P value < 0.05), of which 76% were positively and 24% were negatively regulated. Gene ontology (GO) enrichment analysis revealed that three biological processes were significantly overrepresented, of which the process translational elongation showed the highest fold enrichment (7.3-fold, P = 1.8 x 10(-6)). WGCNA analysis independently identified various gene clusters that correlated with thyroid state. Further GO analysis suggested that thyroid state affects platelet function.Conclusions: Changes in thyroid state regulate numerous genes in human whole blood, predominantly TR alpha-expressing leukocytes. In addition, TH may regulate gene transcripts in platelets.

Thyroid State Regulates Gene Expression in Human Whole Blood / Massolt, Elske T; Meima, Marcel E; Swagemakers, Sigrid M A; Leeuwenburgh, Selmar; van den Hout-van Vroonhoven, Mirjam C G M; Brigante, Giulia; Kam, Boen L R; van der Spek, Peter J; van IJcken, Wilfred F J; Visser, Theo J; Peeters, Robin P; Visser, W Edward. - In: THE JOURNAL OF CLINICAL ENDOCRINOLOGY AND METABOLISM. - ISSN 0021-972X. - 103:1(2018), pp. 169-178. [10.1210/jc.2017-01144]

Thyroid State Regulates Gene Expression in Human Whole Blood

Brigante, Giulia;
2018

Abstract

Context: Despite the well-recognized clinical features resulting from insufficient or excessive thyroid hormone (TH) levels in humans, it is largely unknown which genes are regulated by TH in human tissues.Objective: To study the effect of TH on human gene expression profiles in whole blood, mainly consisting of T3 receptor (TR) alpha-expressing cells.Methods: We performed next-generation RNA sequencing on whole blood samples from eight athyroid patients (four females) on and after 4 weeks off levothyroxine replacement. Gene expression changes were analyzed through paired differential expression analysis and confirmed in a validation cohort. Weighted gene coexpression network analysis (WGCNA) was applied to identify thyroid state-related networks.Results: We detected 486 differentially expressed genes (fold-change >1.5; multiple testing corrected P value < 0.05), of which 76% were positively and 24% were negatively regulated. Gene ontology (GO) enrichment analysis revealed that three biological processes were significantly overrepresented, of which the process translational elongation showed the highest fold enrichment (7.3-fold, P = 1.8 x 10(-6)). WGCNA analysis independently identified various gene clusters that correlated with thyroid state. Further GO analysis suggested that thyroid state affects platelet function.Conclusions: Changes in thyroid state regulate numerous genes in human whole blood, predominantly TR alpha-expressing leukocytes. In addition, TH may regulate gene transcripts in platelets.
2018
103
1
169
178
Thyroid State Regulates Gene Expression in Human Whole Blood / Massolt, Elske T; Meima, Marcel E; Swagemakers, Sigrid M A; Leeuwenburgh, Selmar; van den Hout-van Vroonhoven, Mirjam C G M; Brigante, Giulia; Kam, Boen L R; van der Spek, Peter J; van IJcken, Wilfred F J; Visser, Theo J; Peeters, Robin P; Visser, W Edward. - In: THE JOURNAL OF CLINICAL ENDOCRINOLOGY AND METABOLISM. - ISSN 0021-972X. - 103:1(2018), pp. 169-178. [10.1210/jc.2017-01144]
Massolt, Elske T; Meima, Marcel E; Swagemakers, Sigrid M A; Leeuwenburgh, Selmar; van den Hout-van Vroonhoven, Mirjam C G M; Brigante, Giulia; Kam, Boen L R; van der Spek, Peter J; van IJcken, Wilfred F J; Visser, Theo J; Peeters, Robin P; Visser, W Edward
File in questo prodotto:
File Dimensione Formato  
Massolt_JCEM_2018.pdf

Accesso riservato

Descrizione: Articolo principale
Tipologia: Versione pubblicata dall'editore
Dimensione 729.62 kB
Formato Adobe PDF
729.62 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
POST_PRINT_jc.2017-01144(1).pdf

Open access

Tipologia: Versione dell'autore revisionata e accettata per la pubblicazione
Dimensione 10.22 MB
Formato Adobe PDF
10.22 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1164220
Citazioni
  • ???jsp.display-item.citation.pmc??? 6
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 12
social impact