Influence of sex and functional status on the value of serum steroid profiling in discriminating adrenocortical carcinoma from adrenocortical adenoma.

Background: It is challenging for clinicians to distinguish adrenocortical carcinoma (ACC) from benign adrenocortical adenomas (ACA) in their early stages. This study explored the value of serum steroid profiling as a complementary biomarker for malignancy diagnosis of ACC other than diameter and explored the influence of sex and functional status. Methods: In this retrospective study, a matched cohort of patients diagnosed with either ACC or ACA based on histopathology was meticulously paired in a 1:1 ratio according to sex, age, and functional status. Eight serum steroids including 11-deoxycortisol, 11-deoxycorticosterone, progesterone, androstenedione, dehydroepiandrosterone (DHEA), dehydroepiandrosterone sulfate (DHEAS), 17-hydroxyprogesterone, and estradiol, were quantified by liquid chromatography tandem mass spectrometry. We conducted a comparative analysis of the clinical characteristics and serum steroid profiles of patients with ACC and ACA, with further subgroup analysis. Results: The study included 31 patients with ACC and 31 matched patients with ACA. Patients with ACC exhibited significantly larger tumor diameters, lower body mass index (BMI), and higher levels of 11-deoxycortisol, progesterone, and androstenedione than those with ACA. 11-deoxycortisol was the only valuable index for discriminating ACC from ACA, regardless of functional status and sex. Progesterone, DHEA, and DHEAS levels were higher in the functional ACC group than in the non-functional ACC group. Female ACC patients, especially in postmenopausal female exhibited higher levels of androstenedione than male patients. The area under the curve of tumor diameter, 11-deoxycortisol, and BMI was 0.947 (95% CI 0.889-1.000), with a sensitivity of 96.8% and specificity of 90.3%. Conclusion: Serum steroid profiling serves as a helpful discriminative marker for ACC and ACA, with 11-deoxycortisol being the most valuable marker. For other steroid hormones, consideration of sex differences and functional status is crucial.

Plasma SQSTM1/p62 act as a biomarker for steroid-induced osteonecrosis of the femoral head.

Autophagy is closely associated with the onset and progression of steroid-induced osteonecrosis of the femoral head (SIONFH). SQSTM1/p62 is an important indicator of autophagic activity. The aim of this study was to investigate the role of SQSTM1/p62 in the development of SIONFH. From May 2021 through November 2021, 36 patients diagnosed with SIONFH and 36 healthy controls were recruited for this study. Evaluations included imaging and pathologic assessment of clinical bone tissue, location and level of SQSTM1/p62 expression, plasma SQSTM1/p62 levels, and receiver operating characteristic (ROC) curves. We observed that the expression level of SQSTM1/p62 in bone samples decreased with the Association Research Circulation Osseous (ARCO) phase. Plasma SQSTM1/p62 levels were significantly higher in the SIONFH group compared to healthy controls. Plasma SQSTM1/p62 levels were higher in pre-crash patients than in post-crash patients, and lower plasma SQSTM1/p62 levels were associated with elevated ARCO stage. Plasma SQSTM1/p62 may represent a potential biomarker for different stages during SIONFH. Lower plasma SQSTM1/p62 levels indicate an advanced stage of SIONFH. This study provides new clues for early diagnosis of SIONFH.

Serum tumour necrosis factor-alpha as a marker of disease activity in children with nephrotic syndrome.

Idiopathic nephrotic syndrome (NS) is a common glomerular disease in children throughout the world; however, the exact pathogenesis of the disease remains unknown. Several studies have shown that tumour necrosis factor-alpha (TNF-α), a proinflammatory cytokine, plays a significant role in the pathogenesis of NS. The literature lacks sufficient data to establish the relationship between TNF-α and NS. This prospective study was conducted on children aged 1-14 years diagnosed with idiopathic NS. All enrolled individuals were followed up from disease onset or relapse of NS until remission or at least 42 days with steroid therapy if remission was not achieved. Serum TNF-α levels were measured at presentation and remission or after 42 days of steroid therapy if remission was not achieved. The role of TNF-α levels in response to steroid therapy in NS was also assessed. One hundred and twelve children (68% boys) with idiopathic NS were enrolled. The median age (interquartile range) at enrolment was 58.5 (37-84.7) months, while the median age at symptom onset was 47.5 (24-60.7) months. The median TNF-α level at presentation was 7.5 (3.5-12.1) pg/ml, and that at remission was 5.25 (1.62-8.8) pg/ml. The median TNF-α levels among first-episode NS at presentation were 3.98 pg/ml and 1.88 pg/ml (P = .04) at remission, whereas in steroid-resistant NS, it was 6.59 pg/ml at presentation and 9.02 pg/ml at 42 days (P = .45). There was a significant negative correlation between the duration of steroid therapy and TNF-α levels, with a correlation factor of -0.021 and R2 of 0.154 (P≤.001). Serum TNF-α levels decrease with steroid therapy in children with steroid-sensitive NS, which correlates clinically with the achievement of remission.

Pre-analytical stability and physiological fluctuations affect plasma steroid hormone outcomes: A real-world study.

Since steroids are crucial for diagnosing endocrine disorders, the lack of research on factors that affect hormone levels makes interpreting the results difficult. Our study aims to assess the stability of the pre-analytical procedure and the impact of hormonal physiological fluctuations using real-world data. The datasets were created using 12,418 records from individuals whose steroid hormone measurements were taken in our laboratory between September 2019 and March 2024. 22 steroid hormones in plasma by a well-validated liquid chromatography tandem mass spectrometry method were measured. After normalization transformation, outlier removal, and z-score normalization, generalized additive models were constructed to evaluate preanalytic stability and age, sex, and sample time-dependent hormonal fluctuations. Most hormones exhibit significant variability with age, particularly steroid hormone precursors, sex hormones, and certain corticosteroids such as aldosterone. 18-hydroxycortisol, 18-oxocortisol. Sex hormones varied between males and females. Levels of certain hormones, including cortisol, cortisone, 11-deoxycortisol, 18-hydroxycortisol, 18-oxocortisol, corticosterone, aldosterone, estrone, testosterone, dihydrotestosterone, dehydroepiandrosterone sulfate, 11-ketotestosterone, and 11-hydroxytestosterone, fluctuated with sampling time. Moreover, levels of pregnenolone and progesterone decreased within 1 hour of sampling, with pregnenolone becoming unstable with storage time at 4 degrees after centrifugation, while other hormone levels remained relatively stable for a short period of time without or after centrifugation of the sample. This is the first instance real-world data has been used to assess the pre-analytic stability of plasma hormones and to evaluate the impact of physiological factors on steroid hormones.

The interpretation of immunometric, chromatographic and mass spectrometric data for steroids in diagnosis of endocrine disorders.

The analysis of steroids for endocrine disorders is in transition from immunoassay of individual steroids to more specific chromatographic and mass spectrometric methods with simultaneous determination of several steroids. Gas chromatography (GC) and liquid chromatography (LC) coupled with mass spectrometry (MS) offer unrivalled analytical capability for steroid analysis. These specialist techniques were often judged to be valuable only in a research laboratory but this is no longer the case. In a urinary steroid profile up to 30 steroids are identified with concentrations and excretion rates reported in a number of ways. The assays must accommodate the wide range in steroid concentrations in biological fluids from micromolar for dehydroepiandrosterone sulphate (DHEAS) to picomolar for oestradiol and aldosterone. For plasma concentrations, panels of 5-20 steroids are reported. The profile results are complex and interpretation is a real challenge in order to inform clinicians of likely implications. Although artificial intelligence and machine learning will in time generate reports from the analysis this is a way off being adopted into clinical practice. This review offers guidance on current interpretation of the data from steroid determinations in clinical practice. Using this approach more laboratories can use the techniques to answer clinical questions and offer broader interpretation of the results so that the clinician can understand the conclusion for the steroid defect, and can be advised to program further tests if necessary and instigate treatment. The biochemistry is part of the patient workup and a clinician led multidisciplinary team discussion of the results will be required for challenging patients. The laboratory will have to consider cost implications, bearing in mind that staff costs are the highest component. GC-MS and LC-MS/MS analysis of steroids are the choices. Steroid profiling has enormous potential to improve diagnosis of adrenal disorders and should be adopted in more laboratories in favour of the cheap, non-specific immunological methods.

Substantial benefits of an inert biphenyl column for the analysis of steroids and their phase II metabolites in biological samples.

Steroids can be used as biomarkers in clinical metabolomics and other fields related to human toxicology. This chemical group is known for its complexity, considering its number of isobaric compounds and the wide variety of phases I and II metabolic pathways that parent compounds can undergo. For a successful analysis of steroids in biological samples, liquid chromatography separation must be finely tuned. It is especially challenging for glucuronidated and sulfated steroids derivatives that bear polar heads and can be affected by non-specific adsorption. The benefits of a biphenyl stationary phase chemistry for the selectivity of the separation of steroids and their phase II metabolites and the extent to which nonspecific adsorption phenomena could degrade chromatographic performance were investigated. Replacing a conventional hardware by a passivated hardware allowed to considerably reduce peaks width and asymmetry of sulfated species. The addition of weak ion pairing agents in the mobile phase could also help to reduce non-specific adsorption but are detrimental to mass spectrometry detection. As confirmed by the successful detection of 52 steroids in plasma, the use of a biphenyl stationary phase complemented by a passivated column hardware is of great help for a successful biomedical analysis of steroids and their phase II metabolites.

Association between Disgust Sensitivity during Pregnancy and Endogenous Steroids: A Longitudinal Study.

The emotion of disgust protects individuals against pathogens, and it has been found to be elevated during pregnancy. Physiological mechanisms discussed in relation to these changes include immune markers and progesterone levels. This study aimed to assess the association between steroids and disgust sensitivity in pregnancy. Using a prospective longitudinal design, we analyzed blood serum steroid concentrations and measured disgust sensitivity via text-based questionnaires in a sample of 179 pregnant women during their first and third trimesters. We found positive correlations between disgust sensitivity and the levels of C19 steroids (including testosterone) and its precursors in the Δ5 pathway (androstenediol, DHEA, and their sulfates) and the Δ4 pathway (androstenedione). Additionally, positive correlations were observed with 5α/ß-reduced C19 steroid metabolites in both trimesters. In the first trimester, disgust sensitivity was positively associated with 17-hydroxypregnanolone and with some estrogens. In the third trimester, positive associations were observed with cortisol and immunoprotective Δ5 C19 7α/ß-hydroxy-steroids. Our findings show that disgust sensitivity is positively correlated with immunomodulatory steroids, and in the third trimester, with steroids which may be related to potential maternal-anxiety-related symptoms. This study highlights the complex relationship between hormonal changes and disgust sensitivity during pregnancy.

Dysregulated proteasome activity and steroid hormone biosynthesis are associated with mortality among patients with acute COVID-19.

The persistence of coronavirus disease 2019 (COVID-19)-related hospitalization severely threatens medical systems worldwide and has increased the need for reliable detection of acute status and prediction of mortality. We applied a systems biology approach to discover acute-stage biomarkers that could predict mortality. A total 247 plasma samples were collected from 103 COVID-19 (52 surviving COVID-19 patients and 51 COVID-19 patients with mortality), 51 patients with other infectious diseases (IDCs) and 41 healthy controls (HCs). Paired plasma samples were obtained from survival COVID-19 patients within 1 day after hospital admission and 1-3 days before discharge. There were clear differences between COVID-19 patients and controls, as well as substantial differences between the acute and recovery phases of COVID-19. Samples from patients in the acute phase showed suppressed immunity and decreased steroid hormone biosynthesis, as well as elevated inflammation and proteasome activation. These findings were validated by enzyme-linked immunosorbent assays and metabolomic analyses in a larger cohort. Moreover, excessive proteasome activity was a prominent signature in the acute phase among patients with mortality, indicating that it may be a key cause of poor prognosis. Based on these features, we constructed a machine learning panel, including four proteins [C-reactive protein (CRP), proteasome subunit alpha type (PSMA)1, PSMA7, and proteasome subunit beta type (PSMB)1)] and one metabolite (urocortisone), to predict mortality among COVID-19 patients (area under the receiver operating characteristic curve: 0.976) on the first day of hospitalization. Our systematic analysis provides a novel method for the early prediction of mortality in hospitalized COVID-19 patients.

Simultaneous measurement of 17 endogenous steroid hormones in human serum by liquid chromatography-tandem mass spectrometry without derivatization.

Mass spectrometric-based steroidomics is a valuable analytical approach that gives a comprehensive understanding of the interlinked steroid biosynthetic pathways. Here, we describe a rapid and versatile liquid chromatography-tandem mass spectrometry (LC-MS/MS) method designed to accurately quantify endogenous steroids in human serum. Sample preparation involved liquid-liquid extraction with methyl tert-butyl ether (MTBE) from 180 µL serum. The targeted steroids for quantification included androgens: dehydroepiandrosterone (DHEA), androstenedione (A4), testosterone (T), dihydrotestosterone (DHT), 11-oxyandrogens: 11ß-hydroxy-androstenedione (11OHA4), 11-keto-androstenedione (11KA4), 11ß-hydroxy-testosterone (11OHT), 11-keto-testosterone (11KT), progestogens: 17α-hydroxy-progesterone (17OHP4), progesterone (P4), 11ß-hydroxy-progesterone (11OHP4), 11-keto-progesterone (11KP4), mineralocorticoids: aldosterone, corticosterone, and glucocorticoids: 11-deoxycortisol, cortisol, and cortisone. The lower limits of quantification (LLOQ) were 0.05 ng/mL for A4, T, 11KA4, P4, and cortisone, 0.1 ng/mL for DHT, 11OHA4, 11OHT, 11KT, 17OHP4, 11OHP4, 11KP4, corticosterone, aldosterone, 11-deoxycortisol, and cortisol, and 0.5 ng/mL for DHEA. Accuracy, precision, reproducibility, and recovery fell within acceptable limits for bioanalytical method validation. Using serum samples from 29 premenopausal women in different menstrual phases, we demonstrated the clinical utility of our method, which showed sufficient sensitivity to reliably quantify all targeted steroids at levels typically found in circulation, except for 11OHP4 and 11KP4.

Sex- and age-specific reference intervals of 16 steroid metabolites quantified simultaneously by LC-MS/MS in sera from 2458 healthy subjects aged 0 to 77 years.

BACKGROUND: Reference intervals covering the whole life span for all the metabolites in the steroid hormone biosynthesis quantified by sensitive and robust analytical methods are sparse or not existing. OBJECTIVE: To develop a state-of-the-art LC-MS/MS method for simultaneous quantification of multiple steroid metabolites and to establish detailed sex- and age-specific reference intervals for 16 steroid metabolites. MATERIALS AND METHOD: An isotope diluted LC-MS/MS method was developed for simultaneous quantitation of 16 steroid hormones. Serum samples from cross-sectional cohorts of healthy infants, children, adolescents, and adults aged 0.17 months to 77 years (n = 2458) were analysed. RESULTS: With this novel, specific, and sensitive LC-MS/MS method, it was possible to quantify progesterone, 17-hydroxypregnenolone, 17-hydroxyprogesterone, dehydroepiandrosterone sulfate, androstenedione, testosterone, dihydrotestosterone, 11-deoxycorticosterone, corticosterone, 11-deoxycortisol, cortisol, and cortisone in ≥90 % of the samples, while estrone sulfate, aldosterone and dehydroepiandrosterone were quantified in 77 %, 75 % and 60 % of the samples, respectively. 21-deoxycortisol was only detectable in 2.5 % of samples from healthy subjects. Sex- and age-dependent fluctuations observed in minipuberty, puberty and adulthood including the menopausal transition were modelled. This enabled us to establish valid reference intervals from birth to late adult life for both males and females. CONCLUSION: Detailed sex- and age-specific reference intervals of multiple, simultaneously quantified steroid metabolites by a novel and specific LC-MS/MS method provides a valuable tool for clinical practice and for future research.

Simultaneous determination of 18 steroids in the hypothalamic pituitary gonadal axis based on UPLC-MS/MS with multimode ionization.

To objectively quantify changes in steroid hormones in organisms caused by adverse environmental loads, we developed a simple and sensitive UPLC-MS/MS (ultra-performance liquid chromatography triple quadrupole mass spectrometry) method for the simultaneous determination of 18 steroid hormones on the HPG axis. This analytical method was based on liquid extraction and a multimode electrospray and atmospheric pressure chemical ionization (ESCi) source, which was optimized by mass spectrometry, liquid phase and pretreatment for the quantification of cholesterol (CH), aldosterone (A), cortisone (E), hydrocortisone (F), 21-deoxycortisol (21-DF), corticosterone (B), 11-deoxycortisol (11-DF), androstenedione (A2), estradiol (E2), estrone (E1), 2-methoxyestradiol (2-MeE2), 21-hydroxyprogesterone (21-OHP), 17-α hydroxyprogesterone (17α-OHP), testosterone (T), dehydroepiandrosterone (DHEA), progesterone (P4), dihydrotestosterone (DHT), and pregnenolone (P5). The method exhibits linearity in the analyte-concentration range 0.03-1000 µg mL-1 (r2 > 0.99), the spiked recoveries for the concentration range tested are 76.22-113.66%, and the relevant parameters of precision are 7.52-1.14%. Compared to other methods, this new method not only uses a small amount of serum (only 100 µL), but also permits the analysis of the challenging steroid, cholesterol. Furthermore, the method was successfully applied to the determination of steroids in Mus musculus, Carassius auratus, Rana catesbeiana Shaw, and Rana nigromaculata serum samples from randomly selected individuals. Therefore, this method is efficient and a very useful tool for assessing changes in steroid hormones.

Stability of steroid hormones in dried blood spots (DBS).

OBJECTIVES: Steroid hormone levels of patients may be monitored via dried blood spot (DBS) sampling at home. Stability of steroid hormones in DBS samples, however, needs to be established. METHODS: DBS samples from healthy volunteers were collected and stored at various temperatures. Steroid hormone concentrations in DBS were measured directly, at day 2, day 7 and day 14 following storage at 37 °C and after 7 days, 14 days, 3 months and 6 months following storage at -20 °C, 4 °C and room temperature (RT). Cortisol, cortisone, corticosterone, testosterone, androstenedione, and 17-hydroxyprogesterone (17-OHP) were assessed using LC-MS/MS. RESULTS: All steroids were stable (±15 %) up to 14 days when stored at 37 °C, except for cortisone (only stable until 2 days). All steroids were stable up to 6 months when stored at -20 °C, 4 °C and RT. However, there were some exceptions, for androstenedione at RT (only stable until 7 days), for 17-OHP when stored at -20 °C (only stable until 3 months), for cortisone at RT and 4 °C (only stable until 14 days), and cortisol at RT (only stable until 3 months). CONCLUSIONS: Overall, we demonstrated stability of steroid hormone concentrations in DBS under various conditions which may be encountered during shipping to the diagnostic laboratory and during long-term storage before analysis.

Multiple androgen pathways contribute to the steroid signature of adrenarche.

CONTEXT: Adrenarche is a normal developmental event in mid-childhood characterized by increasing adrenal androgen secretion. The role of the classic androgen pathway has been well described in adrenarche, but the role of newer active androgens and additional androgen pathways is less clear. OBJECTIVE: To study the contribution of novel androgens and related steroid biosynthesis pathways to the development of adrenarche, and to identify additional steroid biomarkers of adrenarche. DESIGN: A longitudinal study of children aged 6-8 years at baseline, followed up at ages 8-10 and 14-16 years. A total of 34 children (20 girls) with clinical and/or biochemical signs of adrenarche (cases) and 24 children (11 girls) without these signs (controls) at age 8-10 years were included. Serum steroid profiling was performed by liquid chromatography high-resolution mass spectrometry. MAIN OUTCOME MEASURES: Thirty-two steroids compartmentalized in progestagens, gluco- and mineralocorticoid pathways, and four androgen related pathways, including the classic, backdoor, 11-oxy, and 11-oxy backdoor pathways. RESULTS: The classic and 11-oxy androgen pathways were more active, and serum concentrations of main androgens in the classic (dehydroepiandrosterone, dehydroepiandrosterone sulfate, androstenedione and androsterone) and 11-oxy (11ß-hydroxyandrostenedione, 11ß-hydroxytestosterone, 11-ketoandrostenedione, and 11-ketotestosterone) pathways were higher in cases at ages 6-8 and 8-10 years. Pregnenolone concentrations at adrenarchal age (8-10 years) and cortisol concentrations at adolescence (14-16 years) were higher in cases. 11ß-hydroxyandrosterone and 11-ketoandrosterone tended to be higher in cases with clinical signs compared to cases who had only biochemical evidence of adrenarche, albeit they were detected at low levels. In biomarker analyses, calculated steroid ratios with cortisol, cortisone, or 11-deoxycortisone as dividers were better classifiers for adrenarche than single steroids. Among these ratios, androstenedione/cortisone was the best. CONCLUSIONS: The classic and 11-oxy androgen pathways are active in adrenarche. Children with earlier timing of adrenarche have higher serum cortisol levels at late pubertal age, suggesting that early adrenarche might have long-term effects on adrenal steroidogenesis by increasing the activity of the glucocorticoid pathway. Future studies should employ comprehensive steroid profiling to define novel classifiers and biomarkers for adrenarche and premature adrenarche.

Plasma Steroid Profiling Combined With Machine Learning for the Differential Diagnosis in Mild Autonomous Cortisol Secretion From Nonfunctioning Adenoma in Patients With Adrenal Incidentalomas.

OBJECTIVE: To assess the diagnostic value of combining plasma steroid profiling with machine learning (ML) in differentiating between mild autonomous cortisol secretion (MACS) and nonfunctioning adenoma (NFA) in patients with adrenal incidentalomas. METHODS: The plasma steroid profiles data in the laboratory information system were screened from January 2021 to December 2023. EXtreme Gradient Boosting was applied to establish diagnostic models using plasma 24-steroid panels and/or clinical characteristics of the subjects. The SHapley Additive exPlanation (SHAP) method was used for explaining the model. RESULTS: Seventy-six patients with MACS and 86 patients with NFA were included in the development and internal validation cohort while the external validation cohort consisted of 27 MACS and 21 NFA cases. Among 5 ML models evaluated, eXtreme Gradient Boosting demonstrated superior performance with an area under the curve of 0.77 using 24 steroid hormones. The SHAP method identified 5 steroids that exhibited optimal performance in distinguishing MACS from NFA, namely dehydroepiandrosterone, 11-deoxycortisol, 11ß-hydroxytestosterone, testosterone, and dehydroepiandrosteronesulfate. Upon incorporating clinical features into the model, the area under the curve increased to 0.88, with a sensitivity of 0.77 and specificity of 0.82. Furthermore, the results obtained through SHAP revealed that lower levels of testosterone, dehydroepiandrosterone, low-density lipoprotein cholesterol, body mass index, and adrenocorticotropic hormone along with higher level of 11-deoxycortisol significantly contributed to the identification of MACS in the model. CONCLUSIONS: We have elucidated the utilization of ML-based steroid profiling to discriminate between MACS and NFA in patients with adrenal incidentalomas. This approach holds promise for distinguishing these 2 entities through a single blood collection.

Simultaneous Determination of Selected Steroids with Neuroactive Effects in Human Serum by Ultrahigh-Performance Liquid Chromatography-Tandem Mass Spectrometry.

Neuroactive steroids are a group of steroid molecules that are involved in the regulation of functions of the nervous system. The nervous system is not only the site of their action, but their biosynthesis can also occur there. Neuroactive steroid levels depend not only on the physiological state of an individual (person's sex, age, diurnal variation, etc.), but they are also affected by various pathological processes in the nervous system (some neurological and psychiatric diseases or injuries), and new knowledge can be gained by monitoring these processes. The aim of our research was to develop and validate a comprehensive method for the simultaneous determination of selected steroids with neuroactive effects in human serum. The developed method enables high throughput and a sensitive quantitative analysis of nine neuroactive steroid substances (pregnenolone, progesterone, 5α-dihydroprogesterone, allopregnanolone, testosterone, 5α-dihydrotestosterone, androstenedione, dehydroepiandrosterone, and epiandrosterone) in 150 µL of human serum by ultrahigh-performance liquid chromatography with tandem mass spectrometry. The correlation coefficients above 0.999 indicated that the developed analytical procedure was linear in the range of 0.90 nmol/L to 28.46 µmol/L in human serum. The accuracy and precision of the method for all analytes ranged from 83 to 118% and from 0.9 to 14.1%, respectively. This described method could contribute to a deeper understanding of the pathophysiology of various diseases. Similarly, it can also be helpful in the search for new biomarkers and diagnostic options or therapeutic approaches.

The Effects of Different Types of Diets on Steroid Hormone Concentrations.

The great popularity of various diets in recent years has led us to reflect on their suitability for our health. The aim of this communication is to review current knowledge on the influence of the most well-known diets on the concentrations of the main steroids and to consider possible mechanisms. The influence of diet on hormone concentrations is expected, but the literature data on this topic are inconsistent and yield conflicting results. The main problem in evaluating these influences is the change in weight that a change in diet induces. This effect needs to be filtered out in order to discover interesting associations between diet and steroid hormones. This is illustrated by the example of the effects of ketogenic diets on testosterone levels in men, where the direct effect of the diet is to reduce testosterone levels, but a number of papers have described increases that are due to diet-related weight loss and the modification of obesity-induced changes. A second major driver is the change in circadian rhythm, and it is necessary to assess hormonal changes induced by changing the time of day of the diet. Such shifts within the circadian rhythm rather than due to a particular type of diet itself are documented by changes in the circadian rhythm of cortisol.

Endogenous Cardiac Steroids in Bipolar Disorder: State of the Art.

Bipolar disorder (BD) is a severe psychiatric illness with a poor prognosis and problematic, suboptimal, treatments. Treatments, borne of an understanding of the pathoetiologic mechanisms, need to be developed in order to improve outcomes. Dysregulation of cationic homeostasis is the most reproducible aspect of BD pathophysiology. Correction of ionic balance is the universal mechanism of action of all mood stabilizing medications. Endogenous sodium pump modulators (collectively known as endogenous cardiac steroids, ECS) are steroids which are synthesized in and released from the adrenal gland and brain. These compounds, by activating or inhibiting Na+, K+-ATPase activity and activating intracellular signaling cascades, have numerous effects on cell survival, vascular tone homeostasis, inflammation, and neuronal activity. For the past twenty years we have addressed the hypothesis that the Na+, K+-ATPase-ECS system may be involved in the etiology of BD. This is a focused review that presents a comprehensive model pertaining to the role of ECS in the etiology of BD. We propose that alterations in ECS metabolism in the brain cause numerous biochemical changes that underlie brain dysfunction and mood symptoms. This is based on both animal models and translational human results. There are data that demonstrate that excess ECS induce abnormal mood and activity in animals, while a specific removal of ECS with antibodies normalizes mood. There are also data indicating that circulating levels of ECS are lower in manic individuals, and that patients with BD are unable to upregulate synthesis of ECS under conditions that increase their elaboration in non-psychiatric controls. There is strong evidence for the involvement of ion dysregulation and ECS function in bipolar illness. Additional research is required to fully characterize these abnormalities and define future clinical directions.

Association of genetic polymorphisms with local steroid metabolism in human benign breasts.

PURPOSE: Although alterations of concentrations in circulating steroids have been linked to single nucleotide polymorphisms (SNPs) of steroidogenic enzymes, we hypothesized that SNPs of such enzymes located within the breast affect local steroid concentrations more than products of such SNPs absorbed from the circulation. METHODS: Steroids (estradiol, estrone, testosterone, androstenedione, DHEA, DHEA sulfate, progesterone) in nipple aspirate fluid (NAF) were purified by HPLC and they along with serum steroids were quantified by immunoassays. Polymorphisms of the transporter SLCO2B1 and enzymes HSD3B1, CYP19A1, HSD17B12, AKR1C3, CYP1B1, and SRD5A1 were measured in white blood cell DNA. RESULTS: Steroid concentrations in NAF of subjects with homozygous minor genotypes differed from those with heterozygotes, i.e., SLCO2B1 (rs2851069) decreased DHEAS (p = 0.04), HSD17B12 (rs11555762) increased estradiol (p < 0.004), and CYP1B1 (rs1056836) decreased estradiol (p = 0.017) and increased progesterone (p = 0.05). Also, in serum, CYP19A1 (rs10046 and rs700518) both decreased testosterone (p = 0.02) and SRD5A1 increased androstenedione (p = 0.006). Steroids in subjects with major homozygotes did not differ from those with heterozygotes indicating recessive characteristics. CONCLUSIONS: In the breast, SNPs were associated with decreased uptake of DHEAS (SLCO2B1), increased estradiol concentrations through increased oxidoreductase activity (HSD17B12), or decreased estradiol concentrations by presumed formation of 4-hydroxyestradiol (CYP1B1). CYP19A1 was associated with decreased testosterone concentrations in serum but had no significant effect on estrogen or androgen concentrations within the breast. The hormone differences observed in NAF were not usually evident in serum, indicating the importance of assessing the effect of these SNPs within the breast.

Single- and Multiple-Dose Pharmacokinetics and Safety of Vilaprisan in Healthy Postmenopausal Japanese Women: A Randomized Clinical Trial.

BACKGROUND AND OBJECTIVES: As the prevalence of some gynecological conditions depends on patient characteristics such as race/ethnicity, it is important to study therapies for these conditions in diverse populations. The study described in this article was conducted to investigate the safety, tolerability, and pharmacokinetics of vilaprisan, a selective progesterone receptor modulator, in Japanese women in Japan. It supplements two comparable studies that were conducted in healthy postmenopausal European and Chinese women, respectively. METHODS: In this exploratory randomized, placebo-controlled, double-blind, ascending-dose study, five groups of healthy postmenopausal Japanese women received vilaprisan as immediate-release tablets (1, 5, or 15 mg as a single dose or 1 or 5 mg/day for 28 days) or placebo tablets (single dosing: 8 subjects/dose step, thereof 2 subjects randomized to placebo; multiple dosing: 12 subjects/dose step, thereof 4 subjects randomized to placebo). Blood samples for pharmacokinetic profiles were collected over 14-19 days. Safety assessments were based on adverse event data, vital signs, electrocardiograms, clinical laboratory tests, and transvaginal ultrasound examinations. RESULTS: 48 participants were randomized, treated, and analyzed. Vilaprisan was rapidly absorbed, reaching maximum plasma concentrations (Cmax) between 1 and 3 h post dose. Post maximum, plasma concentrations rapidly declined, indicating pronounced distribution into tissues. The exposure of vilaprisan increased roughly dose-proportionally: The geometric mean (geometric coefficients of variation) areas under the concentration time curves from time zero to infinity (AUC∞) after single administration of 1, 5, or 15 mg vilaprisan were 67 µg·h/l (34%), 249 µg·h/l (15%), and 788 µg·h/l (37%), respectively. The AUC in the dosing interval after multiple administrations (AUC24,md) of 1 mg/day was 76 µg·h/l (59%), and the AUC24,md after 5 mg/day was 311 µg·h/l (20%). Geometric mean Cmax values also increased roughly dose-proportionally: They amounted to 6 µg/l (22%), 16 µg/l (33%), and 52 µg/l (27%) after single administration and to 8 µg/l (28%) and 31 µg/l (22%) after multiple administrations of the above doses. Mild adverse events were observed, similar to those observed in other clinical studies of vilaprisan. CONCLUSIONS: Overall, vilaprisan was safe and well tolerated. The exposure in Japanese women was similar to that observed in European and Chinese women in separate studies. TRIAL REGISTRATION: 15 Nov 2011 (no registration number assigned).

Plasma Steroid Profiling in Patients With Adrenal Incidentaloma.

CONTEXT: Most patients with adrenal incidentaloma have nonfunctional lesions that do not require treatment, while others have functional or malignant tumors that require intervention. The plasma steroid metabolome may be useful to assess therapeutic need. OBJECTIVE: This work aimed to establish the utility of plasma steroid profiling combined with metanephrines and adrenal tumor size for the differential diagnosis of patients with adrenal incidentaloma. METHODS: This retrospective cross-sectional study, which took place at 7 European tertiary-care centers, comprised 577 patients with adrenal incidentaloma, including 19, 77, 65, 104 and 312 respective patients with adrenocortical carcinoma (ACC), pheochromocytoma (PHEO), primary aldosteronism (PA), autonomous cortisol secretion (ACS), and nonfunctional adrenal incidentaloma (NFAI). Mesaures of diagnostic performance were assessed (with [95% CIs]) for discriminating different subgroups of patients with adrenal incidentaloma. RESULTS: Patients with ACC were characterized by elevated plasma concentrations of 11-deoxycortisol, 11-deoxycorticosterone, 17-hydroxyprogesterone, androstenedione, and dehydroepiandrosterone-sulfate, whereas patients with PA had elevations of aldosterone, 18-oxocortisol, and 18-hydroxycortisol. A selection of those 8 steroids, combined with 3 others (cortisol, corticosterone, and dehydroepiandrosterone) and plasma metanephrines, proved optimal for identifying patients with ACC, PA, and PHEO at respective sensitivities of 83.3% (66.1%-100%), 90.8% (83.7%-97.8%), and 94.8% (89.8%-99.8%); and specificities of 98.0% (96.9%-99.2%), 92.0% (89.6%-94.3%), and 98.6% (97.6%-99.6%). With the addition of tumor size, discrimination improved further, particularly for ACC (100% [100%-100%] sensitivity, 99.5% [98.9%-100%] specificity). In contrast, discrimination of ACS and NFAI remained suboptimal (70%-71% sensitivity, 89%-90% specificity). CONCLUSION: Among patients with adrenal incidentaloma, the combination of plasma steroid metabolomics with routinely available plasma free metanephrines and data from imaging studies may facilitate the identification of almost all clinically relevant adrenal tumors.