Identification of human glucocorticoid response markers using integrated multi-omic analysis from a randomized crossover trial.

Background: Glucocorticoids are among the most commonly prescribed drugs, but there is no biomarker that can quantify their action. The aim of the study was to identify and validate circulating biomarkers of glucocorticoid action. Methods: In a randomized, crossover, single-blind, discovery study, 10 subjects with primary adrenal insufficiency (and no other endocrinopathies) were admitted at the in-patient clinic and studied during physiological glucocorticoid exposure and withdrawal. A randomization plan before the first intervention was used. Besides mild physical and/or mental fatigue and salt craving, no serious adverse events were observed. The transcriptome in peripheral blood mononuclear cells and adipose tissue, plasma miRNAomic, and serum metabolomics were compared between the interventions using integrated multi-omic analysis. Results: We identified a transcriptomic profile derived from two tissues and a multi-omic cluster, both predictive of glucocorticoid exposure. A microRNA (miR-122-5p) that was correlated with genes and metabolites regulated by glucocorticoid exposure was identified (p=0.009) and replicated in independent studies with varying glucocorticoid exposure (0.01 ≤ p≤0.05). Conclusions: We have generated results that construct the basis for successful discovery of biomarker(s) to measure effects of glucocorticoids, allowing strategies to individualize and optimize glucocorticoid therapy, and shedding light on disease etiology related to unphysiological glucocorticoid exposure, such as in cardiovascular disease and obesity. Funding: The Swedish Research Council (Grant 2015-02561 and 2019-01112); The Swedish federal government under the LUA/ALF agreement (Grant ALFGBG-719531); The Swedish Endocrinology Association; The Gothenburg Medical Society; Wellcome Trust; The Medical Research Council, UK; The Chief Scientist Office, UK; The Eva Madura's Foundation; The Research Foundation of Copenhagen University Hospital; and The Danish Rheumatism Association. Clinical trial number: NCT02152553.

Several diseases, including asthma, arthritis, some skin conditions, and cancer, are treated with medications called glucocorticoids, which are synthetic versions of human hormones. These drugs are also used to treat people with a condition call adrenal insufficiency who do not produce enough of an important hormone called cortisol. Use of glucocorticoids is very common, the proportion of people in a given country taking them can range from 0.5% to 21% of the population depending on the duration of the treatment. But, like any medication, glucocorticoids have both benefits and risks: people who take glucocorticoids for a long time have an increased risk of diabetes, obesity, cardiovascular disease, and death. Because of the risks associated with taking glucocorticoids, it is very important for physicians to tailor the dose to each patient's needs. Doing this can be tricky, because the levels of glucocorticoids in a patient's blood are not a good indicator of the medication's activity in the body. A test that can accurately measure the glucocorticoid activity could help physicians personalize treatment and reduce harmful side effects. As a first step towards developing such a test, Chantzichristos et al. identified a potential way to measure glucocorticoid activity in patient's blood. In the experiments, blood samples were collected from ten patients with adrenal insufficiency both when they were on no medication, and when they were taking a glucocorticoid to replace their missing hormones. Next, the blood samples were analyzed to determine which genes were turned on and off in each patient with and without the medication. They also compared small molecules in the blood called metabolites and tiny pieces of genetic material called microRNAs that turn genes on and off. The experiments revealed networks of genes, metabolites, and microRNAs that are associated with glucocorticoid activity, and one microRNA called miR-122-5p stood out as a potential way to measure glucocorticoid activity. To verify this microRNA's usefulness, Chantzichristos et al. looked at levels of miR-122-5p in people participating in three other studies and confirmed that it was a good indicator of the glucocorticoid activity. More research is needed to confirm Chantzichristos et al.'s findings and to develop a test that can be used by physicians to measure glucocorticoid activity. The microRNA identified, miR-122-5p, has been previously linked to diabetes, so studying it further may also help scientists understand how taking glucocorticoids may increase the risk of developing diabetes and related diseases.

Levoketoconazole improves clinical signs and symptoms and patient-reported outcomes in patients with Cushing's syndrome.

PURPOSE: The efficacy of levoketoconazole in treating hypercortisolism was demonstrated in an open-label phase 3 study (SONICS) of adults with endogenous Cushing's syndrome (CS) and baseline mean urinary free cortisol (mUFC) ≥ 1.5× ULN. Clinical signs and symptoms and patient-reported outcomes from the SONICS trial were evaluated in the current manuscript. METHODS: Patients titrated to an individualized therapeutic dose entered a 6-month maintenance phase. Secondary endpoints included investigator-graded clinical signs and symptoms of CS during the maintenance phase, and patient-reported quality of life (CushingQoL questionnaire) and depression symptoms (Beck Depression Inventory II [BDI-II]). RESULTS: Of 94 enrolled patients, 77 entered the maintenance phase following individualized dose titration. Significant mean improvements from baseline were noted at end of maintenance (Month 6) for acne, hirsutism (females only), and peripheral edema. These improvements were observed as early as Day 1 of maintenance for hirsutism (mean baseline score, 7.8; ∆ - 1.9; P < 0.0001), end of Month 1 for acne (mean baseline score, 2.8; ∆ - 1.2; P = 0.0481), and Month 4 for peripheral edema (mean baseline score, 1.0; ∆ - 0.5; P = 0.0052). Significant mean improvements from baseline were observed by Month 3 of maintenance for CushingQoL (mean baseline score, 44.3; ∆ + 6.9; P = 0.0018) and at Month 6 for BDI-II (mean baseline score, 17.1; ∆ - 4.3; P = 0.0043) scores. No significant mean improvement was identified in a composite score of 7 other clinical signs and symptoms. CONCLUSIONS: Treatment with levoketoconazole was associated with sustained, meaningful improvements in QoL, depression, and certain clinical signs and symptoms characteristic of CS. ClinialTrials.gov identifier: NCT01838551.

Adrenal insufficiency in prednisolone-treated patients with polymyalgia rheumatica or giant cell arteritis-prevalence and clinical approach.

OBJECTIVES: Glucocorticoid treatment is fundamental in polymyalgia rheumatica (PMR) and giant cell arteritis (GCA), but carries a risk of glucocorticoid-induced adrenal insufficiency. Adrenal insufficiency can cause reluctance to stop glucocorticoid treatment after disease remission as symptoms can resemble PMR/GCA flare. We aimed to determine the prevalence of adrenal insufficiency in prednisolone-treated patients with PMR/GCA. METHODS: We included 47 patients with PMR (n = 37), GCA (n = 1) or both (n = 9), treated with prednisolone for ≥5.4 months, current dose 2.5-10 mg/day. Adrenal function was evaluated using a corticotropin (Synacthen®) stimulation test following 48 h prednisolone pause. Two years' clinical follow-up data are provided. RESULTS: Seven patients (15%) had adrenal insufficiency, 4 (11%) of the 37 patients with PMR alone, and 3 (30%) of the 10 patients with GCA. Corticotropin-stimulated P-cortisol was significantly associated with current prednisolone dose, mean daily dose the last 3 and 6 months before testing, and basal P-cortisol, but not with total dose or treatment duration. Adrenal insufficiency occurred with all current prednisolone doses (2.5-10 mg/day). Five (71%) of the glucocorticoid-insufficient patients could discontinue prednisolone treatment; two of them recovered glucocorticoid function, whereas three still needed hydrocortisone replacement 2 years later. Two patients experienced in total four acute hospital admissions with symptoms of adrenal crises. CONCLUSION: Glucocorticoid-induced adrenal insufficiency occurred in 15% of patients with PMR/GCA. Mean prednisolone dose the last 3 months and basal P-cortisol were the best and simplest predictors of adrenal function. Most of the glucocorticoid-insufficient patients could discontinue prednisolone with appropriate treatment for adrenal insufficiency.