Citations

Abstract Context Guidelines suggest performing urine steroid profiling in patients with indeterminate adrenal tumors to make a noninvasive diagnosis of adrenocortical carcinoma (ACC). However, urine steroid profiling is not widely available. Objective To determine the accuracy of clinically available serum 11-deoxycortisol, 17OH-progesterone, and 17OH-pregnenolone in diagnosing ACC. Methods We conducted a prospective single-center cohort study of patients with adrenal masses evaluated between 2015 and 2023. Serum was analyzed by liquid chromatography–mass spectrometry for 17OH-pregnenolone, 17OH-progesterone, and 11-deoxycortisol. Reference standard for adrenal mass included histopathology, imaging characteristics, imaging follow up of 2 years, or clinical follow up of 5 years. Localized Generalized Matrix Learning Vector Quantization analysis was used to develop serum steroid score and assessed with area under receiver operating curve. Results Of 263 patients with adrenal masses, 44 (16.7%) were diagnosed with ACC, 161 (61%) with adrenocortical adenomas (ACAs), 27 (10%) with other adrenal malignancies, and 31 (12%) with other. Hounsfield unit ≥ 20 was demonstrated in all ACCs, in all but 1 other adrenal malignancy, and in 58 (31%) ACAs. All 3 steroids were higher in patients with ACCs vs non-ACCs, including when comparing ACCs with functioning ACAs, and with ACAs with Hounsfield unit ≥ 20 (P < .0001 for all). Localized Generalized Matrix Learning Vector Quantization analysis yielded a serum steroid score that discriminated between ACC and non-ACC groups with a mean threshold fixed area under receiver operating curve of 0.823. Conclusion We showed that measurements of 11-deoxycortisol, 17OH-progesterone, and 17OH-pregnenolone could be valuable in diagnosing ACC. After appropriate validation, serum steroid score could be integrated in clinical practice.

Abstract Context Mild autonomous cortisol secretion (MACS) is diagnosed based on postdexamethasone cortisol >1.8 µg/dL. Scarce evidence exists on steroid circadian secretion and steroid metabolome in MACS. Objective To characterize 24-hour (h) urine steroid metabolome in patients with MACS and determine circadian differences in urine steroid profiling and cortisol concentrations in patients with MACS vs referent subjects. Methods Cross-sectional study, 2018-2023, at a referral center. Patients with MACS and age-, sex-, body mass index–, and menopausal status–matched referent subjects were included. Urine was collected over a 24 hour period as separate daytime and nighttime collections. High-resolution mass spectrometry assay was used to measure 25 steroids. A subgroup of patients and referent subjects was admitted for serum measurements of free and total cortisol every 2 hours. Outcomes were steroids, steroid sums, and ratios. Results Patients with MACS (n = 72) had lower µg/24 hour median androgens (2084 vs 3283, P < .001), higher glucocorticoids (15 754 vs 12936, P < .001), and higher glucocorticoid/androgen ratio (8.7 vs 3.9, P < .001) than referent subjects. Patients also had lower steroid day/night ratios than referent subjects, reflecting a higher relative nocturnal steroid production in MACS. In a subgroup of 12 patients with MACS and 10 referent subjects, the 24-hour areas under the curve for total and free serum cortisol were similar. However, evening mean total (5.3 vs 4.0 µg/dL, P = .056) and free (0.2 vs 0.1 µg/dL, P = .035) cortisol was higher in patients vs referent subjects. Conclusion Patients with MACS demonstrate an abnormal urine steroid metabolome, with a high glucocorticoid to androgen ratio, and a higher nocturnal steroid production.

Abstract Purpose: We previously reported that postmenopausal women with estrogen receptor-α–positive breast cancer receiving adjuvant anastrozole 1 mg/day (ANA1) with estrone (E1) ≥1.3 pg/mL and estradiol (E2) ≥0.5 pg/mL [inadequate estrogen suppression (IES)] had a threefold increased risk of a breast cancer event. The objective of this study was to determine if increasing anastrozole to 10 mg/day (ANA10) could result in adequate estrogen suppression (AES: E1 <1.3 pg/mL and/or E2 <0.5 pg/mL) among those with IES on ANA1. Patients and Methods: Postmenopausal women with estrogen receptor-α–positive breast cancer planning to receive adjuvant ANA1 were eligible. E1 and E2 were assessed pre- and post-8 to 10 weeks of ANA1. Those with IES were switched to 8- to 10-week cycles of ANA10 followed by letrozole 2.5 mg/day. E1 and E2 were assessed after each cycle. Anastrozole concentrations were measured post-ANA1 and post-ANA10. Primary analyses included patients who documented taking at least 80% of the planned treatment (adherent cohort). Results: In total, 132 (84.6%) of 156 eligible patients were ANA1 adherent. IES occurred in 40 (30.3%) adherent patients. Twenty-five (78.1%) of 32 patients who began ANA10 were adherent, and AES was achieved in 19 (76.0%; 90% confidence interval, 58.1%–89.0%) patients. Anastrozole concentrations post-ANA1 and post-ANA10 did not differ by estrogen suppression status among adherent patients. AES was maintained/attained in 21 (91.3%) of 23 letrozole-adherent patients. Conclusions: Approximately 30% of ANA1-adherent patients had IES. Among those who switched to ANA10 and were adherent, 76% had AES. Further studies are required to validate emerging data that ANA1 results in IES for some patients and to determine the clinical benefit of switching to ANA10 or an alternative aromatase inhibitor.

Background Decreases in estrogen are shown to increase body fat in men. However, obese men have high levels of estrogen and the effects of weight gain on estrogen have not been previously investigated. The objective of this study was to investigate the relationship between regional fat depots and estrogen during modest weight in healthy men. Methods We investigated the effects of overfeeding in 25 healthy men (30 ± 7 years, 24.7 ± 3.1 kg/m 2 ). Changes in regional fat depot during weight gain were assessed using dual‐energy X‐ray absorptiometry and abdominal computed tomography scans. Participants gained approximately 5% body weight in 8 weeks. Estrone (E1), 17β‐estradiol (E2) and sex hormone binding globulin (SHBG) were measured at baseline and after weight gain. Results Overfeeding was accompanied by 3.9 ± 1.3 kg weight gain. These increases in weight resulted from increases in total body fat mass (18.3 ± 8.5 vs. 21.7 ± 8.8 kg, p<0.001) while the fat free mass did not change (58.4 ± 8.6 vs. 58.9 ± 8.7 kg, p=0.15). E1 (32.28 ± 14.25 vs. 33.44 ± 12.29 pg/mL, p=0.56) and E2 (25.04 ± 8.3 vs. 26.52 ± 7.8 pg/mL, p=0.28) did not change after weight gain. However, weight gain resulted in decreased SHBG (22.8 ± 10.5 vs. 20.8 ± 11.1 nmol/l, p=0.036) and increased E2/SHBG ratio (1.4 ± 1.0 vs 1.63 ± 1.0, p=0.027). The changes in E2/SHBG ratio, a surrogate marker of bioavailable E2, was positively associated with increases in abdominal fat mass (p=0.048, rho=0.39) and increases in visceral fat mass (p=0.049, rho=0.39). Conclusion Modest weight gain in healthy men does not alter circulating E1 and E2 levels. However weight gain results in decreased SHBG and increased free E2 (E2/SHBG ratio). The increased E2/SHBG ratio suggesting a pro‐estrogen effect is associated with increases in visceral fat mass during weight gain. Our study therefore suggests a complex relationship between abdominal fat gain and free E2 in men which may conceivably predispose to feminizing characteristics in obese men. Support or Funding Information PS is supported by AHA Grant 11SDG7260046 and NIH grant DK81014. NC is supported by AHA grant AHA 13POST16420009. MDJ is supported by NIH grants DK45343 and DK40484. VKS is supported by NIH Grants HL73211, and DK81014. This study was made possible by a grant from NCRR (1UL1 RR024150).

Abstract Disclosure: S. Maraqa: None. L. Bushnaq: None. R. Singh, PhD: None. N. Genere: None. Cushing syndrome (CS) is a rare disorder caused by excessive systemic glucocorticoids and associated with increased mortality and worsening quality of life. CS most commonly occurs from exogenous glucocorticoid use, while Cushing disease causes most of endogenous cases. Here, we present a case of a 64-year-old woman with rapidly progressive CS due to an over-the-counter (OTC) arthritis supplement with unlisted dexamethasone. A 64-year-old woman with reported CS who was evaluated in our Endocrinology center after she moved to the United States. She was previously diagnosed with pituitary CS in Mexico following a 6 months history of rapid 50-pound weight gain, profound proximal muscle weakness requiring assistive device, and unprovoked vertebral fractures; laboratory evaluation found elevated 24-hour urinary cortisol 272 mcg/24h, 1mg dexamethasone suppression test total cortisol 5.6 mcg/dl (&lt; 1.8), and adrenocorticotropic hormone (ACTH) 16 pg/mL. Pituitary MRI was unremarkable. Past medical history included primary hypothyroidism and hypertension. Physical exam was notable for blood pressure 160/108 mmHg, heart rate 96, BMI 33 kg/m², moon face, supraclavicular fat pads, central obesity, skin bruises, and proximal muscle weakness. Unexpectedly, re-evaluation showed undetectable serum ACTH and cortisol. A thorough review of medications identified no recent exposure to glucocorticoids. However, a synthetic glucocorticoid screen showed markedly elevated serum dexamethasone concentration. Follow-up discussion revealed that she had started an arthritis supplement “Artri-King” 6 months prior to these symptoms. We collaborated with Mayo Clinic Labs to evaluate dexamethasone contents in this drug; each tablet was found to contain 0.9 mg of dexamethasone, which was unreported in the ingredient list. This supplement was stopped, and the patient was started on physiologic hydrocortisone. Two months later, AM cortisol was 5.6 mcg/dL and ACTH 23 pg/ml. Eight months later, she continues to have adrenal insufficiency but has had a substantial clinical improvement.Exogenous CS is readily diagnosed in patients taking prescribed glucocorticoids; however, diagnosis can be more challenging in cases where the presence of glucocorticoids is concealed. The US Food and Drug Administration follows more limited regulatory guidelines for dietary supplements compared to prescribed drugs. A study by Tucker.et.al. reported that 20% of dietary supplements have unapproved ingredients.1 This is especially concerning, considering that over half of the US population admits to taking dietary supplements.2 On April 2022, the FDA published a public notice for “Artri-King”, declaring the presence of unlisted dexamethasone.3 Should such agents prove to be the culprit of CS, they must be tapered off gradually or in the presence of physiologic hydrocortisone to avoid the risk of adrenal crisis. Presentation: Saturday, June 17, 2023

Abstract Background Vitamin D supplementation is common practice for neonates and infants due to limited stores of vitamin D at birth. Although not commonly encountered, vitamin D toxicity can occur due to over-supplementation. However, toxic concentrations are often not included in method validation experiments, and assays often are not validated in the neonatal population. Methods We compared serial 25 hydroxy vitamin D [25(OH)D] measurements in pre-term neonates receiving 25(OH)D supplementation and identified 12 patients wherein concentrations of 25(OH)D were above 50 ng/mL (125 nM) that required additional investigations as the 25(OH)D results did not match the clinical picture. Available samples were compared across 4 immunoassay platforms (LIAISON XL, Roche Cobas e602, Abbott Alinity i, and Siemens Centaur XP) and LC–MS/MS. Results Concentrations of 25(OH)D observed on one individual immunoassay platform (LIAISON XL) fluctuated substantially between subsequent blood draws in select neonates with elevated concentrations. Serum samples from these patients showed variable agreement between LC–MS/MS and other immunoassay platforms. These fluctuations were not explained by the presence of 3-epimer-25(OH)D or 24,25(OH)2D. Conclusions Although we were unable to identify a cause for the variable elevated results, our findings suggest that neonatal 25(OH)D measurements alone should not be used for assessment of nutritional monitoring, and that clinical correlation and other laboratory parameters including ionized calcium should be considered.