1. Whole blood transcriptomic signature of Cushing's syndrome.
- Author
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Birtolo MF, Armignacco R, Benanteur N, Baussart B, Villa C, De Murat D, Guignat L, Groussin L, Libé R, Zennaro MC, Saidi M, Perlemoine K, Letourneur F, Amar L, Bertherat J, Jouinot A, and Assié G
- Subjects
- Humans, Male, Female, Adult, Middle Aged, Gene Expression Profiling, Cohort Studies, Biomarkers blood, Aged, Tacrolimus Binding Proteins genetics, Tacrolimus Binding Proteins blood, Cushing Syndrome blood, Cushing Syndrome genetics, Cushing Syndrome diagnosis, Transcriptome
- Abstract
Objective: Cushing's syndrome is characterized by high morbidity and mortality with high interindividual variability. Easily measurable biomarkers, in addition to the hormone assays currently used for diagnosis, could reflect the individual biological impact of glucocorticoids. The aim of this study is to identify such biomarkers through the analysis of whole blood transcriptome., Design: Whole blood transcriptome was evaluated in 57 samples from patients with overt Cushing's syndrome, mild Cushing's syndrome, eucortisolism, and adrenal insufficiency. Samples were randomly split into a training cohort to set up a Cushing's transcriptomic signature and a validation cohort to assess this signature., Methods: Total RNA was obtained from whole blood samples and sequenced on a NovaSeq 6000 System (Illumina). Both unsupervised (principal component analysis) and supervised (Limma) methods were used to explore the transcriptome profile. Ridge regression was used to build a Cushing's transcriptome predictor., Results: The transcriptomic profile discriminated samples with overt Cushing's syndrome. Genes mostly associated with overt Cushing's syndrome were enriched in pathways related to immunity, particularly neutrophil activation. A prediction model of 1500 genes built on the training cohort demonstrated its discriminating value in the validation cohort (accuracy .82) and remained significant in a multivariate model including the neutrophil proportion (P = .002). Expression of FKBP5, a single gene both overexpressed in Cushing's syndrome and implied in the glucocorticoid receptor signaling, could also predict Cushing's syndrome (accuracy .76)., Conclusions: Whole blood transcriptome reflects the circulating levels of glucocorticoids. FKBP5 expression could be a nonhormonal marker of Cushing's syndrome., Competing Interests: Conflict of interest: G.A. is on the editorial board of EJE. G.A. was not involved in the review or editorial process for this paper, on which he is listed as an author., (© The Author(s) 2024. Published by Oxford University Press on behalf of European Society of Endocrinology.)
- Published
- 2024
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