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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.

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., eLife digest 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.

Background: Single-nucleotide polymorphisms (SNPs) of the glucocorticoid receptor (GR) gene NR3C1 have been associated with an altered sensitivity to glucocorticoids (GC), and thus may affect the therapeutic effects of GCs. We investigated the prevalence of adrenal suppression after treatment with GCs and evaluated whether GR SNPs were associated with the risk of adrenal suppression and metabolic disorders in patients with chronic obstructive pulmonary disease (COPD). Methods: In an observational prospective cohort study, we recruited 77 patients with severe COPD receiving five days GC treatment for an exacerbation of COPD. 49% of patients also received regular inhaled corticosteroids. Adrenal function was evaluated with a corticotropin test 30 days after the exacerbation. Patients were genotyped for Bcl1, N363S, ER22/23EK and 9β SNPs. Results: The prevalence of adrenal suppression (corticotropin-stimulated plasma-cortisol ≤ 420 nmol/L) 1 month after GC treatment was 4/77 (5%). There was no correlation between high-sensitivity (p-value 0.79) or low-sensitivity (p-value 0.26) GR haplotypes and stimulated cortisol levels for COPD patients treated with GCs. There was no difference between adrenal suppression and metabolic disorders in COPD patients stratified for high vs. low GC-sensitivity GR haplotypes plus wild type (p-value > 0.05). Corticotropin stimulated P-cortisol did not differ between carriers and non-carriers for Bcl1, 9β, ER22/23K and N363S. For carriers of the high sensitivity GR gene haplotype, the association between inhaled corticosteroid dose and stimulated P-cortisol concentrations was more inverse (slope –0.25 vs. -0.10) than in patients with the low sensitivity haplotype. Conclusions: Five percent of patients had an insufficient adrenal function. The Bcl1 and N363S polymorphisms do not seem to increase the risk of adrenal suppression or metabolic disorders in adults treated with corticosteroids for COPD exacerbations.Trial Registration: The trial was registered at clinicaltrials.gov (NCT03140761) at May 4, 2017 with URL https://clinicaltrials.gov/ct2/show/NCT03140761.

Background: Glucocorticoids are among the most prescribed medications for various indications, and treatment with glucocorticoids is associated with increased morbidity and mortality. A biomarker allowing quantification of glucocorticoid action could improve treatment safety and efficacy. Objective: To identify and validate circulating biomarkers of glucocorticoid action using a clinical experimental study and multi-omic network analysis. Methods: In a randomized, controlled, crossover, single-blind trial, 10 subjects without endogenous glucocorticoid production (Addison’s disease) received intravenous hydrocortisone infusion in a circadian pattern (physiological glucocorticoid exposure) or isotonic saline (glucocorticoid withdrawal) over 22 hours. Food intake and sample collections were standardized during both treatment periods. The transcriptomes of peripheral blood mononuclear cells and adipose tissue, plasma miRNAome and serum metabolome were collected at 7 AM (end of infusion). These multi-omic data were compared between the two interventions, within and between subjects, using network analysis of higher order interactions along with statistical and machine learning approaches. Samples from 120 subjects with varying glucocorticoid exposure from independent studies were used for the replication of the miRNA findings. The study was pre-registered at ClinicalTrials.gov with identifier NCT02152553. Results: We identified a transcriptomic profile derived from both peripheral blood mononuclear cells and adipose tissue, and a multi-omic signature including genes, miRNAs and metabolites that were associated with glucocorticoid exposure. Within the multi-omic signature we identified a single microRNA (miR-122-5p, p=0.009) regulated by glucocorticoid exposure, which we then replicated as a novel biomarker of glucocorticoid action in 120 subjects from independent studies (0.01 ≤ p ≤ 0.05). Conclusions: The discovery of miR-122-5p as a novel circulating biomarker of glucocorticoid action may have a significant impact on clinical practice. Our data also improves the understanding of glucocorticoid action and may have impact on future studies on the mechanistic understanding for the role of glucocorticoids in the etiology of common diseases, such as cardiovascular disease and obesity.

Objective Patients receiving long-term glucocorticoid treatment are at risk of developing adrenal insufficiency during treatment. We investigated the prevalence of prednisolone-induced adrenal insufficiency in the particular clinical situation where patients receive ongoing low-dose (5 mg/day) prednisolone treatment, a dose by itself too low to cover glucocorticoid needs during stress. Design and methods Cross-sectional study in 42 patients with rheumatoid arthritis (29 women, aged 36–86 years) treated with 5 mg prednisolone/day, who had received prednisolone for ≥6 months (median: 66, range: 6–444 months). Adrenal function was evaluated by a 250 μg Synacthen test performed after mean 48.7 h prednisolone pause. Local assay-specific cut-off for normal adrenal function was P-cortisol ≥420 nmol/L 30 min after Synacthen injection. Results Overall, 20 of the 42 patients (48%, 95% CI: 33–62%) had an insufficient adrenal response to the Synacthen test. Including only patients who had not received concomitant treatment with any other glucocorticoid formulas within the last 3 months, 13 of 33 patients (39%, 95% CI: 25–56%) had an insufficient response. Adrenocorticotrophic hormone (ACTH) concentrations were generally low and anti-adrenal antibodies were negative indicating secondary adrenal insufficiency as the most likely diagnosis. There was no correlation between duration of treatment and 30 min P-cortisol (P = 0.62). Adrenal function did not depend on sex or seropositivity of rheumatoid arthritis. Conclusion We demonstrate a high prevalence of adrenal insufficiency during ongoing low-dose prednisolone treatment. The results urge to increase focus on the condition to ensure identification and correct management of insufficient patients during stress and withdrawal. Strategies for adrenal function evaluation during ongoing low-dose glucocorticoid treatment need to be established.