Prospective Assessment of Mood and Quality of Life in Cushing Syndrome before and after Biochemical Control

Abstract

Context

Cushing syndrome (CS) impairs quality of life (QoL) and mood. Prospective real-life data on post-treatment recovery and predictors of improvement are limited.

Objectives

Evaluate changes in QoL, depression, and anxiety in patients with CS, before and after biochemical control, and identify predictors of clinically meaningful improvement.

Design and Setting

Prospective observational study at a tertiary center.

Patients

67 patients with endogenous CS (60 pituitary, 7 adrenal) were assessed with active disease and again after achieving biochemical control through surgery and/or medication.

Outcomes

Patient-reported outcomes included CushingQoL, Beck Depression Inventory-II (BDI-II), and State-Trait Anxiety Inventory (STAI).

Results

Mean and longest follow-up was 2.3 and 11.5 years, respectively. Treatment led to improvements in mean scores across all domains (QoL: +18.2±20.9, BDI: –6.8±8.6, STAI-State: –9.6±12.5, STAI-Trait: –8.6±12.6; all p < 0.001). However, minimal important difference was achieved in 64.6% for QoL, 67.9% for BDI, 53.2% and 52.8% for STAI subscales. After multivariable analysis, QoL improvements were predicted by lower baseline BMI, pre-treatment symptoms ❤ years, post-operative hydrocortisone replacement >6 months, and normal follow-up late-night salivary cortisol (LNSC). Depression improvements were predicted by symptoms ❤ years, normal follow-up LNSC, and surgical treatment. Anxiety improvements were predicted by younger age and >6 months post-operative hydrocortisone. Depression improved more gradually than QoL and anxiety.

Conclusions

Although effective treatment improves mood and QoL in CS, clinically meaningful recovery is variable and incomplete for some patients. Our findings highlight the need to limit diagnostic delay and provide comprehensive post-treatment care that includes normalization of cortisol circadian rhythm.

Accepted manuscripts
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Crinetics Pharma’s Promising Study on CRN04894 for Cushing’s Syndrome: A Potential Game-Changer?

Crinetics Pharmaceuticals is conducting a study titled ‘A Phase 1b/2a Open-label Multiple-ascending Dose Exploratory Study of CRN04894 in ACTH-dependent Cushing’s Syndrome.’ This study aims to evaluate the safety, tolerability, and pharmacokinetics of CRN04894, an ACTH receptor antagonist, in treating Cushing’s Syndrome, a condition characterized by excessive cortisol production. The study’s significance lies in its potential to offer a new treatment avenue for patients with Cushing’s disease or Ectopic ACTH Syndrome.

The intervention being tested is a drug named atumelnant, which is an orally active agent designed to block the action of ACTH at its receptor. This intervention is administered in tablet form and is intended to manage the symptoms of ACTH-dependent Cushing’s Syndrome.

The study employs an interventional design with a sequential model, featuring multiple ascending doses over 10 to 14 days. It is open-label, meaning there is no masking, and its primary purpose is treatment-focused, aiming to assess the drug’s effects on participants.

The study began on March 27, 2023, and is currently recruiting participants. The last update was submitted on April 8, 2025. These dates are crucial as they indicate the study’s progress and ongoing nature, which is essential for stakeholders tracking its development.

This clinical update could influence Crinetics Pharma’s stock performance positively by showcasing their commitment to advancing treatment options for Cushing’s Syndrome. Investors may view this as a promising development, potentially enhancing market sentiment. The study’s progress should be monitored alongside competitors in the endocrinology space to gauge its broader industry impact.

https://www.tipranks.com/news/company-announcements/crinetics-pharmas-promising-study-on-crn04894-for-cushings-syndrome-a-potential-game-changer

The Impact of Adrenalectomy On Metabolic Outcomes of Patients Wwth Mild Autonomous Cortisol Secretion Defined by Low-Dose Dexamethasone Suppression Testing

Abstract

Background

Up to 50% of patients with adrenal incidentalomas have mild autonomous cortisol secretion, which may increase their cardiometabolic morbidity, compared with patients with nonfunctional adrenal tumors. Studies evaluating cardiometabolic outcomes of patients with mild autonomous cortisol secretion defined by 1-mg dexamethasone suppression testing (cortisol 1.8–5 μg/dL) have demonstrated mixed results. The aim of this study was to assess the metabolic outcomes of patients with mild autonomous cortisol secretion, defined by the 1-mg dexamethasone suppression testing criterion, compared with patients with nonfunctional adrenal tumors who underwent adrenalectomy.

Methods

We conducted a single-institution retrospective cohort study comparing adult patients who underwent unilateral adrenalectomy from November 30, 2011, to August 19, 2023, for mild autonomous cortisol secretion (1-mg dexamethasone suppression testing cortisol 1.8–5 μg/dL) or nonfunctional adrenal tumors (1-mg dexamethasone suppression testing cortisol <1.8 μg/dL). Preoperative prevalences and postoperative changes in diabetes mellitus, hypertension, dyslipidemia, and elevated body mass index (≥25) were assessed. Patients were followed from the time of surgery until their last outpatient visit. Multivariable logistic regression was pursued for outcomes that varied between cohorts.

Results

A total of 65 patients (53 mild autonomous cortisol secretion and 12 nonfunctional adrenal tumors) were analyzed. Patients with mild autonomous cortisol secretion were older and more likely to have diabetes mellitus than patients with nonfunctional adrenal tumors (odds ratio: 7.81, 95% confidence interval [0.94, 64.96], P = .04). Patients were followed for a median of 28.1 months [11.1, 55.3 months]. Patients with mild autonomous cortisol secretion were more likely to have postoperative weight improvement (odds ratio: 8.31, [0.97, 71.14], P = .03). After adjusting for clinically relevant variables, the 1-mg dexamethasone suppression testing cortisol was predictive of postoperative weight improvement (odds ratio: 1.88, [1.1, 3.65], P = .04).

Conclusion

Weight loss should be considered as a potential benefit of adrenalectomy in patients with mild autonomous cortisol secretion.

Introduction

Mild autonomous cortisol secretion (MACS) is the most common hormonal abnormality diagnosed in patients with adrenal incidentalomas, impacting 20%–50% of patients.1 Patients with MACS have biochemical evidence of adrenocorticotropic hormone (ACTH)-independent hypercortisolism but lack clinical stigmata commonly associated with overt hypercortisolism, such as facial plethora, abdominal adiposity, extremity weakness and wasting, and/or violaceous striae.2 Overt hypercortisolism is well recognized to cause cardiovascular, musculoskeletal, and metabolic disorders, which have variable resolution even after diagnosis and treatment.3 There is a growing body of evidence that patients with MACS also have increased cardiometabolic morbidity and mortality compared with patients with nonfunctional adrenal tumors,4 but this evidence is challenging to interpret given wide variability in diagnostic criteria that have historically been used.5, 6, 7
Recent guidelines have suggested that a diagnosis of MACS be applied to all patients with a morning (AM) serum cortisol of >1.8 μg/dL after low-dose (1-mg) dexamethasone suppression testing (DST) who lack overt features of hypercortisolism.8,9 However, prior studies comparing cardiometabolic outcomes between patients with MACS and nonfunctional adrenal tumors as well as between patients who underwent operative and nonoperative management have used a 1-mg DST AM serum cortisol of 1.8–5.0 μg/dL as a definition of mild (“subclinical”) hypercortisolism.10, 11, 12, 13, 14, 15, 16 Given that these studies have demonstrated mixed results,4 the primary aim of this study was to assess the metabolic outcomes of patients with MACS, as defined by a 1-mg DST AM cortisol of 1.8–5.0 μg/dL, compared with patients with nonfunctional adrenal tumors who underwent adrenalectomy.

Section snippets

Methods

This was a single-institution retrospective cohort study of patients aged ≥18 years who underwent initial unilateral adrenalectomy from November 30, 2011, to August 19, 2023. Patients were identified through a prospectively maintained database of all patients who underwent adrenalectomy at the study institution. Patients were excluded if they had a 1-mg DST AM serum cortisol of >5 μg/dL, ACTH-dependent hypercortisolism, primary aldosteronism, pheochromocytoma, primary bilateral macronodular

Results

Of the 460 patients who underwent adrenalectomy during the study period, 53 patients met criteria for MACS and 12 patients for nonfunctional adrenal tumors, yielding a cohort of 65 patients. Patients with MACS were older than those with nonfunctional adrenal tumors (MACS, median 60 years [IQR: 54, 68 years] vs nonfunctional adrenal tumors, 49 years [37, 57 years], P = .02) but were similar by sex, race, ethnicity, BMI, nodule size, laterality, and surgical approach (Table II). Among patients

Discussion

MACS is the most common hormonal abnormality diagnosed in patients with adrenal incidentalomas. Despite lacking clinical stigmata of overt hypercortisolism, patients with MACS appear to have increased cardiometabolic morbidity and mortality similar to patients with overt hypercortisolism. The optimal management of MACS is debated, and prior studies using a 1-mg DST AM serum cortisol of 1.8–5.0 μg/dL as a definition of mild hypercortisolism have demonstrated mixed results. Hence, this study

Funding/Support

This project is funded in part by the Advancing a Healthier Wisconsin Endowment at the Medical College of Wisconsin. This publication was supported by the National Center for Research Resources and the National Center for Advancing Translational SciencesNational Institutes of Health (NIH), through grant number UL1TR001436. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. The grant supports the creation and maintenance of

CRediT authorship contribution statement

Alexa Lisevick Kumar: Writing – original draft, Visualization, Methodology, Formal analysis, Data curation, Conceptualization. Sophie Dream: Writing – review & editing, Validation, Supervision, Methodology, Investigation. Tahseen Shaik: Resources, Project administration, Investigation, Data curation. Kara Doffek: Resources, Project administration, Investigation, Data curation. Ryan Conrardy: Writing – review & editing, Methodology, Formal analysis. James W. Findling: Writing – review & editing,

Conflict of Interest/Disclosure

Dr Findling reports consulting for Corcept, Diurnal, Crinetics and serving as an investigator for Recordati. The rest of the authors reported no biomedical financial interests or potential conflicts of interest.

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A Preliminary Model to Tailor Osilodrostat In Patients With Adrenocorticotropic Hormone (ACTH)-Dependent Cushing’s syndrome

Abstract

Over the past 10 years, osilodrostat has become one of the most commonly used steroidogenesis inhibitors in patients with Cushing’s syndrome. The starting dose is usually determined based on the product characteristics, the prescriber’s experience, and cortisol levels. However, no study has attempted to determine whether there was a dose–response relationship between osilodrostat and cortisol reduction. In this study, we developed a preliminary kinetic–pharmacodynamic model to tailor osilodrostat in patients with Adrenocorticotropin hormone (ACTH)-dependent Cushing’s syndrome. We first analyzed the decrease in cortisol 48 hours after initiation or dose change of osilodrostat in 18 patients. Simulations were then performed for different doses of osilodrostat to evaluate the variation in cortisol concentrations. Our results report the first dose–response relationship between osilodrostat dose and cortisol levels, which should be helpful in identifying the optimal dosing regimen in patients with Cushing’s syndrome and in individualizing treatment to approximate a nychthemeral rhythm.

Significance

The current preliminary study is a first step in trying to better understand the effect of osilodrostat on cortisol, which should help determine the optimal dose for each patient.

Introduction

Cushing’s syndrome is a rare condition in which increased cortisol levels lead to a wide range of comorbidities and increased mortality. Surgery is usually regarded as the first-line and most effective treatment.1 In some cases, cortisol-lowering drugs are necessary, mainly after failed surgery.2,3 Among several steroidogenesis inhibitors such as ketoconazole and metyrapone,4,5 osilodrostat, which acts through inhibition of 11β-hydroxylase, is now being considered an effective drug in controlling cortisol hypersecretion. Initially designed as a CYP11B2 inhibitor, the study by Ménard et al.6 involving both animal models and healthy human subjects showed that osilodrostat reduced cortisol levels from a dose of 1 mg/day, while lower doses exerted an anti-aldosterone effect. Since then, several clinical trials and retrospective studies emphasized its efficacy in all etiologies of Cushing’s syndrome.7-9 While the usual recommended starting dose is 2 mg twice a day, precise studies on the short-term effect of osilodrostat on plasma cortisol are lacking. These data could, however, be of interest to tailor the treatment. Moreover, baseline urinary free cortisol (UFC) level is not able to predict response to osilodrostat.10 Taking advantage of serial cortisol measurements performed in inpatient clinics in our center at the time osilodrostat became available, we developed a pharmacokinetic (PK)/pharmacodynamic model of plasma cortisol variation as a function of osilodrostat dose in patients with Adrenocorticotropin-hormone (ACTH)-dependent Cushing’s syndrome.

Patients and methods

Clinical data and hormonal measurements

We retrospectively included patients with ACTH-dependent Cushing’s syndrome, who had serial measurements of plasma cortisol (every 4 hours for 24 hours) before and after the first osilodrostat dose between 2019 and 2024. These measurements were part of our standard of care approach when osilodrostat became available in our tertiary expert center as a thorough evaluation of the efficacy and tolerance of a new drug. The initial dose ranged from 2 to 15 mg/day, depending on the severity of hypercortisolism. Subsequently, osilodrostat dose was gradually adjusted based on the successive cortisol measurements described above. Sex, age at diagnosis, and etiologies were recorded, as well as plasma cortisol measurements 48 hours after the initiation or any change in the osilodrostat dose and time elapsed since change of dose and last administration were recorded. All plasma cortisol measurements were performed with the same Elecsys II Cortisol, Cobas (Roche Diagnostics) assay in the hormonal laboratory of our center; cross-reactivity with 11-deoxycortisol is 4.9%. According to our institutional policy, this retrospective study did not require specific signed informed consent from patients as the data collected were anonymized. It was thus approved by the Ethics Committee of Assistance Publique—Hopitaux de Marseille (RGPD PADS reference RUXXX2). The current study complies with the Declaration of Helsinki.

Pharmacokinetics and statistical analysis

The pharmacodynamic parameters of osilodrostat on cortisol concentrations were analyzed using a kinetic–pharmacodynamic (PD) model in the software Nonlinear Mixed Effects Modeling version 7.4 (NONMEM Icon Development Solutions, Ellicott City, MD, United States). PK analysis from a previously published study6 was used to predict plasma concentration in our patients. The PK parameters were described in the article, and mean concentration values were obtained by digitizing the graph of osilodrostat vs time using the software WebPlotDigitizer version 4.2.11 With these data, a one-compartment population PK model was used to predict osilodrostat concentrations for different dosing regimens. Direct and indirect relationship between osilodrostat-predicted concentration and variation of cortisol concentrations were evaluated to consider a delay. The variation of cortisol concentrations was calculated with reference to a session without treatment. Several functions were tested to describe the relationship such as linear and sigmoidal. Model selection and evaluation were done by the likelihood ratio test (objective function), goodness-of-fit plots (observed vs predicted variation of cortisol concentrations, observed vs individual predictions, normalized prediction distribution errors vs time and variation of cortisol predictions), bootstrap, and visual predictive checks. Graphical analysis was performed with the R software version 4.4.012 using the ggplot2 package.13 Simulations were performed for different doses of osilodrostat to evaluate the variation on cortisol concentrations using the package rxode2.14

Results

Of the patients who were prescribed osilodrostat at least once between 2019 and 2024, 18 were presenting ACTH-dependent Cushing’s syndrome, 12 women (66.6%) and 6 men (33.3%). Mean age was 53.2 ± 15 years. The cause of Cushing’s syndrome was Cushing’s disease in 16 patients (88.9%), ectopic ACTH secretion in 1 patient (5.6%), and ACTH-dependent hypercortisolism of uncertain diagnosis in 1 patient (5.6%). Clinical characteristics are presented in Table 1. It should be noted that none of the patients included were Asian.

 

 

Table 1.

Clinical characteristics of patients with all included patients and differentiated according to gender.

All patientsa Women Men
Age at diagnosis 53.2 ± 15 54 ± 17.2 51.5 ± 10.5
Weight 81.7 ± 13.7 79.5 ± 12.7 86.2 ± 15.6
% of CD 88.9 83.3 100
ULN of 24 hour UFC 4.4 ± 8.3 5.5 ± 10.3 2.5 ± 1.8
Osilodrostat starting dose 3.3 ± 2.2 3.7 ± 2.4 2.5 ± 1.4
Cortisol before osilodrostat intake 422.9 ± 159.2 414.7 ± 176.6 439.4 ± 130.7
Cortisol 4 hour after osilodrostat 404 ± 165.6 408.2 ± 200.1 395.5 ± 70.8

 

Abbreviations: CD, Cushing’s disease; ULN, upper limit range; UFC, urinary free cortisol.

aOf note, none of the included patients were Asian.

In their article, Ménard et al.6 showed that the dose–exposure relationship was not strictly proportional. A one-compartment model was enhanced by increasing the relative bioavailability with the dose and was estimated that the dose resulting in a 50% increase in bioavailability was 1.06 mg. The PK parameters derived from Ménard et al.6 were fixed and used to predict osilodrostat concentration in our patients. A direct relationship between the predicted osilodrostat concentrations and variation of cortisol concentrations (%) gave a better fit than an indirect model. The drug effect was modeled with the following sigmoidal function (Eq. 1);

(1)

where Imax is the maximal inhibition and IC50 is the apparent half-maximal inhibitory concentration.

The estimated PD parameters were IC50 and Imax. Their values as well as the relative standard errors (RSE%) and the corresponding bootstrap IC50 are shown in Table 2. Final parameters were used to simulate n = 500 profiles following a single dose of osilodrostat.

 

 

 

Table 2.

Pharmacodynamic parameters of osilodrostat’s effects on the variation of cortisol concentrations.

Parameters Unit Estimation RSE% Bootstrap
0.025 0.975
KA (fixed)a 1/hour 4.03
CL/F (fixed)a L/hour 18.3
V/F (fixed)a L 125
Imax % 44.5 18.7 12.51 90.9
IC50 mg/L 0.011 37.4 0.0001 0.10
Interindividual variability (ω)
 Imax 0.40 30.9 0.003 1.86
 IC50 3.78 41.0 0.003 9.22
Residual unexplained variability (σ)
 Additive % 23.8 12.2 18.2 29.9

 

Abbreviations: CL/F, apparent clearance; IC50, osilodrostat concentration associated with half the maximal inhibition of the cortisol variation; Imax, maximum inhibitory effect of osilodrostat on the variation of cortisol; KA, first-order absorption rate constant; RSE, relative standard error; V/F, apparent volume of distribution.

 

aAdapted from Ménard et al.6

The effects on plasma cortisol variation are depicted in Figure 1. Cortisol concentration declines during the first hour after taking osilodrostat, from 24% for a 1 mg dose to over 42% for a 20 mg dose. Thereafter, from the first hour onward, cortisol increases progressively, with loss of treatment efficacy occurring around the 10th-15th hour for 1 and 2 mg, while for doses above 5 mg, a moderate effect persists over the following hours. Figure 2 shows the variation in cortisol concentration for a 2 mg dose, with median decrease in cortisol variation of 31%, ranging from 0% to 67.5%, with, as mentioned above, a maximum effect 1 hour after osilodrostat intake, and a progressive increase in cortisol levels, mainly during the 12 hours following treatment. The same analysis for 10 mg revealed a median reduction in cortisol of 38%, ranging from 5% to 80%. Figure 3 describes the relationship between osilodrostat concentration and cortisol variation, showing that the maximum effect corresponds to the maximum concentration and that a decrease in osilodrostat concentration results in an increase in cortisol level.

Relationship between time since last administration of osilodrostat and cortisol concentrations.

Figure 1.

Relationship between time since last administration of osilodrostat and cortisol concentrations.

Visual predictive variation on cortisol concentrations following 2 or 10 mg osilodrostat administration.

Figure 2.

Visual predictive variation on cortisol concentrations following 2 or 10 mg osilodrostat administration.

Relation between osilodrostat concentration and cortisol variation.

Figure 3.

Relation between osilodrostat concentration and cortisol variation.

Discussion

To the best of our knowledge, this is the first study that attempts to define a dose/efficacy relationship between osilodrostat dose and the variation of plasma cortisol. First, our results suggest that the effect of osilodrostat appears immediately after the peak of concentration, 1 hour after treatment intake, which highlights the parallel evolution of osilodrostat and cortisol concentrations. This is unusual, as typically effect peak takes few hours, following concentration peak.15 The relationship between osilodrostat concentration and the effect on cortisol is not linear but sigmoidal with a rapid increase in concentrations producing a rapid significant effect, leading to a maximal effect. Because elimination is a slower process than absorption, the effect’s decline will also be slower: this means that efficiency remains stable during the first 5 hours, with a further progressive increase of cortisol and a loss of efficiency around 10-15 hours after intake. This confirms the need for two intakes per day, with one early in the morning and the other 12 hours later in the evening. In addition, even if our simulation suggests a wide interindividual variability, we were able to determine the impact of different doses of osilodrostat on the percent decrease in plasma cortisol levels. For instance, 20 mg osilodrostat leads to an estimated 42% decrease in cortisol concentration. Interestingly, Ferrari et al.16 recently showed that patients controlled with two doses of osilodrostat for at least 1 month had the same efficacy with a single intake (combing both doses) at 4 or 7 Pm. This is quite surprising and will need to be evaluated in future studies: our preliminary model could give more precise information on this point.

Cushing’s syndrome is also characterized by a loss of circadian rhythm leading to increased comorbidities such as diabetes, hypertension, and cardiovascular disease.17,18 This is why 24 hour UFC can only be considered an imperfect marker of glucocorticoid overexposure even though it is an easy-to-use marker, as exemplified by its use in all the clinical trials performed on cortisol-lowering drugs.7,8,10,19 Predicting the efficacy of osilodrostat on plasma cortisol might be helpful to tailor the treatment as a titrating approach. Of note, some studies suggested that there might be an inpatient variability of cortisol secretion in Cushing’s syndrome,20 and this might account for a bias in our results. However, none of our patients had cyclical Cushing’s syndrome. Moreover, 12 patients in our cohort had at least two cortisol cycles (every 4 hours during the day) before starting treatment. A comparison of these two cycles using Student’s t-test showed no significant difference (P = .7), indicating no obvious spontaneous variability. Our preliminary report gives interesting insights into the maximal efficacy expected for a single dose of osilodrostat, thus defining the initial dosage needed to rapidly control hypercortisolism, as opposed to the dose currently recommended by the manufacturer (2 mg twice daily). Thus, our results could help define an optimal dose in the morning, but also in the evening, with the aim of re-establishing a circadian profile. This will, however, have to be confirmed on an interventional study focusing on comorbidities, quality of life and their potential improvements while using this PK model.

The main limitation of this proof-of-concept study is the large CI. This may be due to the relatively low number of patients and the fact that cortisol was measured every 4 hours instead of every hour, but also to the large variability in efficacy between subjects. Due to the number of patients included in the analysis, it was not possible to investigate further if a covariate, such as the gender, may explain these differences between individuals. It is important to highlight that although our model predicts cortisol levels 1 hour post intake as the most reliable predictor of future efficacy, cortisol measurements were taken every 4 hours. Thus, this finding should be confirmed in prospective studies with more frequent cortisol measurements, particularly 1 hour after osilodrostat administration. While the kinetic–pharmacodynamic approach used in this study can present with some inherent limitations, this type of approach is regularly used to define the modalities of use for a medication in a new indication. A nonlinear mixed-effects modeling allows the use of data from the routine clinical follow-up of patients. This method is thus effective and particularly well-suited for sparse data. Finally, a larger study could include closer measurements of cortisol. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) is the best method for avoiding cross-reactivity with steroid precursors and could be used for these measurements. However, we used the Elecsys Cortisol II Immunoassay, which shows <5% cross-reactivity with 11-deoxycortisol; thus, our results are credible.

In conclusion, we designed a kinetic–pharmacodynamic model to adapt osilodrostat in patients with ACTH-dependent Cushing’s syndrome. Our model shows that cortisol level 1 hour after treatment is the best indicator of future efficacy. Moreover, depending on the initial cortisol level and the goal to be achieved, different doses should be prescribed. Despite wide inter-patient variability, we believe our model provides insight into the minimal dose necessary to decrease cortisol levels and the maximal efficacy expected for a given dose. Thus, it should help physicians tailor the treatment to reach maximal efficacy in the shortest possible time. The next step will be to analyze whether this percent decrease remains stable on a long-term basis or becomes more important with time, as suggested by some clinical cases showing delayed adrenal insufficiency on stable doses of osilodrostat.21

Authors’ contributions

Cecilia Piazzola (Conceptualization [equal], Formal analysis [equal], Writing—original draft [equal]), Frederic Castinetti (Conceptualization [equal], Formal analysis [equal], Writing—review & editing [equal]), Katharina von Fabeck (Conceptualization [equal], Writing—review & editing [equal]), and Nicolas Simon (Conceptualization [equal], Methodology [equal], Supervision [equal], Validation [equal], Writing—original draft [equal], Writing—review & editing [equal])

Funding

This work received an unrestricted educational grant from Recordati Rare Diseases.

To see the references and the original article, please go here: https://academic.oup.com/ejendo/article/193/4/K11/8255719?login=false

 

Relacorilant and Cardiometabolic Outcomes

New data on relacorilant (Corcept Therapeutics), a selective glucocorticoid receptor modulator, revealed several cardiometabolic benefits for patients with hypercortisolism.

Researchers presented results from the GRACE and GRADIENT trials, which assessed relacorilant in adults with hypercortisolism. GRACE was an open-label trial that enrolled adults with endogenous hypercortisolism, whereas GRADIENT included those with adrenal hypercortisolism and randomly assigned participants to relacorilant or placebo.

Both trials demonstrated similar reductions in body weight. The relacorilant group in GRADIENT had a 3.6 kg reduction in body weight, and adults in GRACE reduced their body weight by 3.3 kg at 22 weeks.

“Relacorilant may improve many of the common features of hypercortisolism, which may provide a holistic benefit to our patients,” Oksana Hamidi, DO, MSCS, study investigator and associate professor in the division of endocrinology at UT Southwestern Medical Center, told Healio | Endocrine Today. “An interesting observation was that relacorilant can lead to weight loss, and that weight loss is mostly fat mass, with lean mass being preserved or even increasing. The ability to maintain muscle is particularly important for our patients.”

In a cardiometabolic analysis, adults with hypertension receiving relacorilant had greater reductions in both systolic and diastolic blood pressure compared with placebo. For adults with hyperglycemia at baseline, the relacorilant group had greater declines in fasting glucose and glucose area under the curve.

Corin Badiu, MD, study investigator, professor of endocrinology and head of the department of endocrinology IV in the National Institute of Endocrinology and “C.Davila” University of Medicine and Pharmacy in Bucharest, Romania, and fellow of the Romanian Academy of Medical Sciences, said the benefits of relacorilant may extend into additional areas that could be studied in the future.

“Apart from metabolic and cardiovascular improvements, we expect long-term improvements in bone mass, liver steatosis, mood, sleep and other behavioral aspects [that] are disturbed in hypercortisolism,” Badiu told Healio | Endocrine Today.

Irina Bancos, MD, MSc, professor of medicine in the division of endocrinology, metabolism and nutrition at Mayo Clinic, said relacorilant could provide benefits similar to mifepristone (Korlym, Corcept Therapeutics) for patients with hypercortisolism, but with fewer adverse events related to progesterone health. Bancos was not involved with the trial.

“Why is there a need for another medication in the same class by the same company? The major reason is to achieve the same metabolic impact as far as weight loss and improvement of hyperglycemia … but also to decrease the side effects,” Bancos told Healio | Endocrine Today.

From https://www.healio.com/news/endocrinology/20250912/promising-new-data-could-change-treatment-landscape-for-some-rare-diseases?utm_source=selligent&utm_medium=email&utm_campaign=20250920ENDO&utm_content=20250920ENDO