Gene expression profiling of subcutaneous adipose tissue reveals new biomarkers in acromegaly

Author:

Falch Camilla M123ORCID,Arlien-Søborg Mai Christiansen45ORCID,Dal Jakob67,Sundaram Arvind Y M8,Michelsen Annika E23,Ueland Thor2,Olsen Linn Guro1,Heck Ansgar12,Bollerslev Jens12,Jørgensen Jens Otto L4,Olarescu Nicoleta C123

Affiliation:

1. Section of Specialized Endocrinology, Oslo University Hospital (OUS) , Postboks 4950 Nydalen, 0424 Oslo , Norway

2. Institute of Clinical Medicine, Faculty of Medicine, University of Oslo (UIO) , Postboks 1171 Blindern, 0318 Oslo , Norway

3. Research Institute of Internal Medicine, Oslo University Hospital (OUS) , Postboks 4950 Nydalen, 0424 Oslo , Norway

4. Department of Endocrinology and Internal Medicine, Aarhus University Hospital (AUH) , Palle Juul Jensens Boulevard 99, 8200 Aarhus N , Denmark

5. Medical Research Laboratory, Department of Clinical Medicine, Aarhus University Hospital (AUH) , Palle Juul Jensens Boulevard 99, 8200 Aarhus N , Denmark

6. Department of Endocrinology and Internal Medicine, Aalborg University Hospital (AAUH) , Hobrovej 18-22, 9000 Aalborg , Denmark

7. Steno Diabetes Center North Jutland, Aalborg University Hospital , Søndre Skovvej 3E, 9000 Aalborg , Denmark

8. Department of Medical Genetics, University of Oslo, Oslo University Hospital , Kirkeveien 166, 0450 Oslo , Norway

Abstract

AbstractContextActive acromegaly is characterized by lipolysis-induced insulin resistance, which suggests adipose tissue (AT) as a primary driver of metabolic aberrations.ObjectiveTo study the gene expression landscape in AT in patients with acromegaly before and after disease control in order to understand the changes and to identify disease-specific biomarkers.MethodsRNA sequencing was performed on paired subcutaneous adipose tissue (SAT) biopsies from six patients with acromegaly at time of diagnosis and after curative surgery. Clustering and pathway analyses were performed in order to identify disease activity-dependent genes. In a larger patient cohort (n = 23), the corresponding proteins were measured in serum by immunoassay. Correlations between growth hormone (GH), insulin-like growth factor I (IGF-I), visceral AT (VAT), SAT, total AT, and serum proteins were analyzed.Results743 genes were significantly differentially expressed (P-adjusted < .05) in SAT before and after disease control. The patients clustered according to disease activity. Pathways related to inflammation, cell adhesion and extracellular matrix, GH and insulin signaling, and fatty acid oxidation were differentially expressed.Serum levels of HTRA1, METRNL, S100A8/A9, and PDGFD significantly increased after disease control (P < .05). VAT correlated with HTRA1 (R = 0.73) and S100A8/A9 (R = 0.55) (P < .05 for both).ConclusionAT in active acromegaly is associated with a gene expression profile of fibrosis and inflammation, which may corroborate the hyper-metabolic state and provide a means for identifying novel biomarkers.

Publisher

Oxford University Press (OUP)

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism

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