Analysis Of Steroids Research Articles

Design and Validation of a Sensitive Multisteroid LC-MS/MS Assay for the Routine Clinical Use: One-Step Sample Preparation with Phospholipid Removal and Comparison to Immunoassays.

Steroid analysis in clinical laboratories is dominated by immunoassays (IAs) that have a high sample turnover but are inherently limited in trueness, precision, and sensitivity. Liquid chromatography coupled to mass spectrometry (LC-MS/MS) has proved to be a far more capable tool, delivering better sensitivity, specificity, and the possibility of parallel analysis of multiple steroids and metabolites, providing the endocrinologist with more reliable and comprehensive diagnostic information. An LC-MS/MS assay with gradient elution over less than eight minutes and a one-step sample preparation combining protein precipitation with phospholipid removal of off-line solid-phase extraction was developed and validated. It allowed the quantification of 11-deoxycorticosterone (11-DOC), 11-deoxycortisol (11-DF), 17-OH-progesterone (17P), 21-deoxycortisol (21-DF), androstenedione (ANDRO), aldosterone (ALDO), corticosterone (CC), cortisol (CL), cortisone (CN), dehydroepiandrosterone (DHEA), dehydroepiandrosterone sulfate (DHEAS), dihydrotestosterone (DHT), estradiol (E2), progesterone (PROG), and testosterone (TES) in human serum. Interday imprecision was generally better than 15%, trueness was proven by recovery experiments with ISO 17034-certified reference materials, proficiency testing (UK NEQAS), and measuring serum reference standards. In-house comparison against IVD-CE-certified immunoassays (IA) for 17P, ANDRO, CL, DHEAS, E2, PROG, and TES was conducted by assessing leftover routine patient samples and purpose-built patient serum pools. None of the compared routine IAs were meeting the standards of the LC-MS/MS. Insufficient overall comparability was found for ANDRO and 17P (mean bias > +65%). Accuracy limitations at lower concentrations were present in IAs for PROG, E2, and TES.

Estimation of Steroid Hormones in Biological Samples Using Micro Extraction and Advanced Chromatography Techniques

Steroid profiling plays an important role in the clinical setting and also in the diagnosis of various physiological disorders. Steroids in the research laboratory and patient care has been routinely measured by immunoassay. Limitations of immunoassay in quantifying steroids have been well documented and the advent of advanced mass spectrometry is offering a viable alternative to measure multiple steroids in single reaction. Analytes ranging from the steroid and their metabolites that are present in the body carry out various important functions and are relevant to maintaining homeostasis. Blood plasma and urine samples are the clinical material for such analysis, however, due to the difference in polarity of the target steroid, a major challenge exists as to how faithfully analyze different steroids in the given sample type. These steroids are usually present at very low concentrations in the body and are present in several forms leading to increased complexity. Achieving an excellent chromatographic separation for the analysis of steroids requires an effective sample preparation and analysis procedure. Hence various methods are developed to analyze the presence of steroids and to know their exact concentration in the body. This review covers various analytical methodologies such as chromatographic procedures and downstream mass spectrometry for the identification and measurement of the levels of steroid hormones. At the same time, this review also covers the most recent developments that have taken place in the recent past to cover the enhanced understanding of steroid hormone analysis.

Determination of 19 Steroid Hormones in Human Serum and Urine Using Liquid Chromatography-Tandem Mass Spectrometry.

This paper describes a methodology for simultaneous determination of 19 steroid hormones, viz. estrone, estradiol, estriol, testosterone, 5α-dihydrotestosterone, androstenedione, androstenediol, dehydroepiandrosterone, progesterone, pregnenolone, 17α-OH-progesterone, 17α-OH-pregnenolone, cortisone, cortisol, 11-deoxycortisol, 11-deoxycorticosterone, 11-dehydrocorticosterone, aldosterone, and corticosterone, in 500-µL of urine or serum/plasma. The method was optimized using isotopically labeled internal standards and liquid-liquid extraction followed by detection using liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-MS/MS). Dansylation of estrogens significantly improved their sensitivities (~11- to 23-fold) and chromatographic separation. The respective limit of detection (LOD) and limit of quantification (LOQ) of all analytes were 0.04-0.28 and 0.14-0.92 ng/mL in human urine, and 0.11-0.35 and 0.38-1.18 ng/mL in human serum/plasma. Recoveries of all analytes (except for progesterone) fortified at 10, 20, and 200 ng/mL in urine and serum were 80-120%, with standard deviations ranging from 0 to 17.3%. Repeated analysis of similarly fortified urine and serum samples yielded intra-day and inter-day variations of 0-21.7% and 0.16-11.5%, respectively. All analytes except cortisone exhibited weak matrix effects in urine and serum (-13.9-18.2%). The method was further validated through the analysis of the National Institute of Standards and Technology (NIST) plasma Standard Reference Material (SRM1950) with certified concentrations for cortisol, progesterone, and testosterone (coefficient of variation: 3-11%). The developed method was applied in the analysis of urine samples from 20 volunteers, which revealed the occurrence of 16 analytes with detection frequencies (DFs) > 80%. Furthermore, 15 analytes were found in plasma SRM1950, indicating the feasibility of our method in the analysis of steroid hormones in urine and serum/plasma. This method will facilitate analysis of steroid hormones in population-based biomonitoring studies.

OR29-2 Comprehensive Steroid and Global Metabolome Analysis by Mass Spectrometry and Machine Learning to Understand Metabolic Risk in Benign Adrenal Tumours With Mild Autonomous Cortisol Secretion

Abstract Background Benign adrenal tumours are found in 3-10% of adults and can be non-functioning (NFAT) or associated with adrenal hormone excess. Analysing 1305 prospectively recruited patients with benign adrenal tumours, we recently demonstrated that 45% of patients had mild autonomous cortisol secretion (MACS), i.e. biochemical evidence of cortisol excess without distinct signs of Cushing syndrome (CS). We found that MACS increases the prevalence and severity of type 2 diabetes and hypertension and primarily affects women (Ann Int Med. 2022 Doi: 10.7326/M21-1737). Here we analysed the cohort's steroid metabolome and non-targeted global metabolome to reveal underlying metabolic processes. Methods We analysed 24-h urine samples from 1305 patients (649 NFAT, 591 MACS, 65 CS) using a liquid chromatography-tandem mass spectrometry (LC-MS/MS) multi-steroid profiling assay. In addition, we performed non-targeted serum metabolome analysis in a representative sub-cohort (104 NFAT, 140 MACS, 47 CS) employing two complementary LC-MS assays, HILIC and C18-lipidomics. The steroid and global metabolome data were analysed by two supervised machine learning approaches, generalized matrix learning vector quantization and ordinal regression, to identify the most relevant metabolic changes. Findings Urine steroid metabolome analysis revealed an increase in glucocorticoid excretion from NFAT over MACS to CS, whereas androgen excretion decreased. Increased glucocorticoid metabolites were also the major differentiators between MACS patients with and without type 2 diabetes and hypertension, respectively. Lipidome analysis by machine learning identified glycerophospholipids, lysoglycerophospholipids, triacylglycerides, ceramides, sphingolipids, and acylcarnitines as the most relevant metabolite classes exhibiting gradually progressive changes with increasing cortisol excess (NFATInterpretation: We show a gradual change in the lipidome towards lipotoxicity with increasing cortisol excess. MACS patients with type 2 diabetes and hypertension had higher glucocorticoid output than other MACS patients, suggestive of a causative contribution of cortisol excess to their increased cardiometabolic burden. Observed changes may hold promise for risk stratification in MACS, a highly relevant and previously largely overlooked metabolic risk condition. Presentation: Tuesday, June 14, 2022 10:00 a.m. - 10:15 a.m.

Machine-learning-aided identification of steroid hormones based on the anisotropic galvanic replacement generated sensor array

The conveniently simultaneous identification of steroid hormones is challenging due to their similar chemical structures. Herein, we have established a machine-learning-aided sensor array for accurate discrimination and determination of steroid hormones based on [email protected]2O (CC), [email protected]2[email protected] (CCP) and [email protected]2[email protected] (CCPA). The Michaelis-Menten constant of CC, CCP and CCPA toward H2O2 were calculated as 2.61, 1.11 and 2.03 mM, respectively, indicating their different catalytic activities that were obtained from the anisotropic galvanic replacement of [email protected]2O with Pd (II) and Au (III). Five kinds of steroid hormones were selected as model targets and reacted with the sensor array before chromogenic reaction. The absorption of chromogenic substrate was used as learning data to train the k-nearest neighbors algorithm, the discrimination confidence was from 88.9% to 100% for different mixtures, and 100% for betamethasone of 1–50 μM in real sample. This work provides a quick analysis of steroid hormones in 1.5 h and low-cost strategy, its further application in the field of cosmetic safety is highly expected.

LBMON273 Not All Men Are Created Equal

Abstract Background Clinical assessment of androgens in the diagnosis of androgen excess, hypogonadism, androgen replacement or suppressive therapy and in anti-doping practices is generally limited to a few C19 steroids. More accurate evaluations may be gained with comprehensive steroid analysis. The aim of this study was to determine all major circulating adrenal and gonadal steroids together with the adrenal C11-oxy C19 steroids. Methods Serum androgens, mineralocorticoids, glucocorticoids, progesterones and C11-oxy steroids were determined in 71 healthy men, 18-35yrs, using ultra-performance convergence-chromatography tandem mass spectrometry. Data was analysed using GraphPad Prism Version 9.3.1. Results Profiles and inter-individual steroid concentrations differed considerably. Testosterone (25.2 nM) was detected in all subjects while dehydroepiandrosterone (DHEA) was undetectable in 18% of the subjects. Comparing subjects with DHEA, 11.14 (3.178-52.73) nM and those without DHEA identified steroids differing significantly (p≤0. 001; q values ≤5%): 11-OHA4 (4. 0 ±0.3 vs 1.6±0.3 nM), 16-hydroxyprogesterone (0.7±0. 07 vs 0.3 ±0.1 nM), corticosterone (15.5±1.8 vs 3.8±1.1 nM), 11-dehydrocorticosterone (4.5±0.3 vs 2±0.5nM), cortisol, (357±21.2 vs 157.9±29.3 nM) and cortisone (57.9±2.4 vs 35.3 ±5.4 nM). Dihydrotestosterone (∼4.3 nM) and 11-hydroxytestosterone (∼0.5 nM) were detected at comparable concentrations, however, at a frequency of 25% and >90%, respectively (in both groups). 11-ketotestosterone levels were also comparable but below the limit of accurate quantification while present in ∼50% of the subjects. Epitestosterone levels were comparable (0.2±0. 02 vs 0.1±0. 03 nM), but higher in younger subjects 18-25 yrs (p<0. 05). Conclusions Analysis of gonadal and adrenal steroids indicate greater circulating steroid heterogeneity than previously thought. Data shows that the often-disregarded adrenal C11-oxy C19 steroids contributed to 16% of the androgen profile. Furthermore, given that the C19 steroids were 1.8-fold lower in men without measurable DHEA, the functional oxyandrogens, 11-ketotestosterone and 11-hydroxytestosterone, would be of particular physiological importance due to their androgenic activity. Absence of measurable DHEA showed an overall modulated adrenal steroidogenic flux in these men, evident in the attenuated glucocorticoid production. Data underscores the modulatory role of cytochrome P450 11β-hydroxylase in these individuals, potentially impacting on diagnostic testing and evaluation. Presentation: Monday, June 13, 2022 12:30 p.m. - 2:30 p.m.

A comprehensive UHPLC-MS/MS method for the analysis of endogenous and exogenous steroids in serum for anti-doping purposes.

In the context of steroid analyses, the use of blood could represent a valuable complement to urine. While the blood steroid profile is currently being established to aid unveiling testosterone (T) doping, this matrix is also well suited for detection of exogenous anabolic steroids and steroid esters. In this study, a method to determine a simplified blood steroid profile in combination with the direct detection of exogenous anabolic steroids and steroid esters using just one serum aliquot was developed to obtain a comprehensive analytical workflow. Following the first chromatographic analysis of endogenous and exogenous steroids, samples were derivatised with Girard's reagent T (GT) to improve the ionisation of steroid esters and re-injected. The quantitative performance for T, androstenedione (A4) and 5α-dihydrotestosterone (DHT) was evaluated and the method was validated for qualitative analysis of exogenous analogues with estimated limits of detection (LOD) between 50 and 500 pg/ml. To demonstrate the applicability of the method, samples collected from a clinical study with an oral administration of testosterone undecanoate (TU) to 19 male volunteers were then analysed. The individual serum steroid profiles with the endogenous markers T, A4 and DHT were established as well as the concentrations of TU. TU was detected in all 19 volunteers up to 24 h, while DHT represented the most promising biomarker in endogenous steroid profile for the detection of oral TU administration. These results showed that the selected approach to combine exogenous and endogenous steroid analysis has the potential to strengthen T doping detection in the future.

Matrix-assisted laser desorption/ionization high-resolution mass spectrometry for high-throughput analysis of androgenic steroid adulteration in traditional Chinese medicine based on d0/d5-Girard's reagent P labeling

The illegally adulteration of traditional Chinese medicine with androgenic steroids exposes consumers to multiple health risks. Therefore, it is very important to establish an accurate detection method. The current study presents a stable isotope labeling matrix-assisted laser desorption/ionization high-resolution mass spectrometry (SIL-MALDI-HRMS) method for high-throughput quantitative analysis of androgenic steroid adulteration. A pair of isotope labeling reagents (d0/d5-Girard's reagent P, d0/d5-GP) were employed to label steroids prior to MALDI-HRMS detection. The signal intensity was significantly improved, and the signal fluctuations were compensated by employing d5-GP labeled analytes as the internal standards. The limits of quantification (LOQs) of four steroids (nandrolone, testosterone, methyltestosterone, and testosterone propionate) were in the ranges of 0.18–0.48 μg/g. The calibration curves were obtained with acceptable linearities (R2 > 0.99). The relative recoveries ranged from 87.9% to 118.1%, and the intra-day and inter-day relative standard deviations (RSDs) were all less than 13.4%, which were satisfactory for quantitative analysis. The potential of the GP labeling strategy to improve the MALDI detection sensitivity was further demonstrated by the successful detection of cinnamaldehyde and 2′-methoxycinnamaldehyde in cinnamon-containing samples. Compared with the reported methods, the developed method proved to be high-throughput, highly selective, and accurate for androgenic steroids analysis in complex samples with good sensitivity.

An Approach for Investigating Sexual Maturity in Wild Boar Males: Testosterone and 17β-Estradiol Analysis.

Simple SummaryWild boar numbers have increased constantly over the last three decades, as have their related conflicts with modern society. For this reason, wild boars have become a frequent topic of discussion. This article describes and explains the concentrations of the two main sexual steroids, testosterone and estradiol, as well as our effort to define threshold levels to recognize the sexual maturation of wild boar males and differentiate between immature and adult boars. With the help of additional analyses on spermatozoa and morphological data, it was shown that prepubertal boars at 8 months of age could be clearly differentiated from postpubertal boars, showing significantly lower concentrations of hormones. Wild boar males older than 11 months of age, in contrast, presented hormonal values like adults. Before the completion of their first year, wild boars are physiologically able to reproduce and may take part in reproduction. The high hormonal concentrations at the end of the breeding season suggest that the mating period could last longer than usually supposed, shifting farrowing into the summer.Analyses of sexual steroid hormones in wild boars are rarely described. Testosterone (T) and 17β-estradiol (E2) concentrations are useful to recognize sexual maturation. As threshold values for this species are unknown, additional parameters are required. A total of 127 blood samples from wild boar males were collected to measure T and E2. Age and weight were recorded. Thirty-one epididymides were sampled too. Males were sorted into pre-and postpubertal groups based on the absence/presence of spermatozoa in epididymides and on morphological data following previous results. Forty-four males were prepubertal: the mean age and weight were 10 months and 23 kg, respectively. They showed no spermatozoa. The mean concentrations of T and E2 were 1.2 ± 1.2 ng/mL and 39.7 ± 120.3 pg/mL, respectively. Sixty-six males were postpubertal, twenty-nine of which presented spermatozoa. Their mean concentration of T was 7.6 ± 6.3 ng/mL and E2 was 664.3 ± 250.4 pg/mL. Seventeen samples could not be defined; the hormone concentrations between the two groups suggested a transitional phase consistent with puberty. Wild boars before 12 months of age had high hormone levels like older boars, indicating that they could attempt to reproduce. Hormones at the end of the mating season (January) were high so that reproduction could occur thereafter, shifting farrowing from spring to summer.

Comparability of Steroid Collision Cross Sections Using Three Different IM-HRMS Technologies: An Interplatform Study

Steroids play key roles in various biological processes and are characterized by many isomeric variants, which makes their unambiguous identification challenging. Ion mobility-mass spectrometry (IM-MS) has been proposed as a suitable platform for this application, particularly using collision cross section (CCS) databases obtained from different commercial IM-MS instruments. CCS is seen as an ideal additional identification parameter for steroids as long-term repeatability and interlaboratory reproducibility of this measurand are excellent and matrix effects are negligible. While excellent results were demonstrated for individual IM-MS technologies, a systematic comparison of CCS derived from all major commercial IM-MS technologies has not been performed. To address this gap, a comprehensive interlaboratory comparison of 142 CCS values derived from drift tube (DTIM-MS), traveling wave (TWIM-MS), and trapped ion mobility (TIM-MS) platforms using a set of 87 steroids was undertaken. Besides delivering three instrument-specific CCS databases, systematic comparisons revealed excellent interlaboratory performance for 95% of the ions with CCS biases within ±1% for TIM-MS and within ±2% for TWIM-MS with respect to DTIM-MS values. However, a small fraction of ions (<1.5%) showed larger biases of up to 7% indicating that differences in the ion conformation sampled on different instrument types need to be further investigated. Systematic differences between CCS derived from different IM-MS analyzers and implications on the applicability for nontargeted analysis are critically discussed. To the best of our knowledge, this is the most comprehensive interlaboratory study comparing CCS from three different IM-MS technologies for analysis of steroids and small molecules in general.

Using an on-site laboratory for fecal steroid analysis in wild white-faced capuchins

Hormone laboratories located “on-site” where field studies are being conducted have a number of advantages. On-site laboratories allow hormone analyses to proceed in near-real-time, minimize logistics of sample permits/shipping, contribute to in-country capacity-building, and (our focus here) facilitate cross-site collaboration through shared methods and a shared laboratory. Here we provide proof-of-concept that an on-site hormone laboratory (the Taboga Field Laboratory, located in the Taboga Forest Reserve, Costa Rica) can successfully run endocrine analyses in a remote location. Using fecal samples from wild white-faced capuchins (Cebus imitator) from three Costa Rican forests, we validate the extraction and analysis of four steroid hormones (glucocorticoids, testosterone, estradiol, progesterone) across six assays (DetectX® and ISWE, all from Arbor Assays). Additionally, as the first collaboration across three long-term, wild capuchin field sites (Lomas Barbudal, Santa Rosa, Taboga) involving local Costa Rican collaborators, this laboratory can serve as a future hub for collaborative exchange.

Simultaneous Analysis and Efficient Separation of Anabolic Androgenic Steroids in Dietary Supplement by a Validated HPTLC Method.

Using sports supplements is common among athletes. The presence of anabolic steroids in sports supplements as a hormonal contaminant can increase production efficiency. Since anabolic steroids cause health problems and result in positive doping tests in athletes, it is important to investigate their presence in the supplement preparations consumed by athletes. This paper aims to simultaneously determine ten anabolic steroids by high-performance thin-layer chromatography (HPTLC) method in sports supplements. Chromatographic analysis was conducted on glass silica gel 60F254 plates. The extracts loaded on silica gel plates are subjected to programed multiple development (PMD) to separate anabolic androgenic steroids (AASs). Densitometric scanning is carried out at the wavelength of 245 and 366nm. The method was validated according to the ICH guidelines. Spots at retardation factor (Rf) 0.72 (elution system 1), 0.4 (elution system 1), 0.29 (elution system 2), 0.25 (elution system 2), 0.1 (elution system 1), 0.65 (elution system 2), 0.59 (elution system 1), 0.44 (elution system 1), 0.8 (elution system 3), and 0.82 (elution system 3) values were recognized as 19-nor androstenedione, 19-nortestosterone, methyl testosterone, clostebol, stanozolol, trenbolone enanthate, oxymetholone, oxandrolone, testosterone enanthate, and nandrolone decanoate, respectively. The linear ranges were 25 - 250 μg/mL for oxymetholone, 7 - 50 μg/mL for 19-nor androstenedione, 19-nortestosterone, and oxandrolone, and 3 - 20 μg/mL for methyl testosterone, clostebol, stanozolol, trenbolone enanthate, testosterone enanthate, and nandrolone decanoate. The developed method is validated by acceptable precision (CV < 20%) and good accuracy (94% < R < 114%). The value of limit of detection (LOD) for all derivatives was in the range of 0.02 - 0.16 μg/spot (20-160 μg/g of supplement), while limit of quantitation (LOQ) was found to be in the range of 0.06 - 0.5 μg/spot (60 - 500 μg/g of supplement). Fifty sports supplement samples as real sample were collected and analyzed. None of the samples screened positive using the HPTLC method. In the present study, the fast, cheap, and simple HPTLC method could be used for the multi-residue analysis of ten anabolic androgenic steroids in sports supplements.

Human epidermal in vitro permeation test (IVPT) analyses of alcohols and steroids

This study examined a number of factors that can impact the outcomes of in vitro human epidermal permeation coefficients for aliphatic alcohols and steroids, including receptor phase composition and study conditions. We determined experimentally the solubilities and IVPT permeation of a homologous series of 14C labeled aliphatic alcohols (ethanol, propanol, pentanol, heptanol, octanol and decanol) in different receptor fluids as recommended by Organisation Economic Co-operation and Development (OECD). We used human epidermal membranes at 25 °C and phosphate-buffered saline (PBS), 2 %w/v bovine serum albumin (2 %w/v BSA), 50 %w/v ethanol and 0.1, 2 and 6 %w/v Oleth-20 receptor phases. We also explored and confirmed the discrepancies between in vitro human epidermal permeability coefficients (kp) and diffusion lag times for steroids from Scheuplein’s group with our own work and that of others. The main reason for the observed differences is not clear but is likely to be multifactorial, including the effects of diffusion cell design, receptor phase solubility, unstirred receptor phase effects, epidermal membrane hydration, diffusion cell configuration, transport through appendageal pathways and steroid lipophilicity. We conclude with a summary of experimental conditions that should be considered in undertaking IVPT studies.

Salivary Steroid Collection in Children Under Conditions Replicating Home Sampling.

Measurement of salivary glucocorticoids is an accepted method for testing adrenal function but there are few data on stability during home collection. Current salivary collection techniques require active participation or present a choking hazard and are unsuitable for young children. We sought to compare different salivary collection methods; assess the stability of salivary glucocorticoids under conditions replicating home collection; and assess patient tolerability and caregiver acceptability of a salivary collection device for young children, a swab encased in an infant pacifier (SaliPac). Six healthy adults collected salivary samples using a Salivette Cortisol, passive drool, and SalivaBio at night, waking, and 3 Pm for five days. Time to collect 1-mL saliva using the SalivaBio and SaliPac and caregiver acceptability were assessed in 30 children younger than 6 years. Saliva was stored at 4 °C, room temperature (RT), and 50 °C for 24, 48, 72 hours and 1 week to replicate potential postage conditions. Salivary cortisol and cortisone concentrations were measured by mass spectrometry. There was no difference in salivary glucocorticoid concentrations using the 3 collection methods. Salivary cortisol and cortisone were stable for 72 hours at RT and 4 °C, and repeated freeze-thaw cycles did not cause significant degradation. In children younger than 6 years the SalivaBio and SaliPac were well tolerated and collected sufficient saliva for salivary steroid analysis in less than 4 minutes. Salivette, passive drool, and SalivaBio collect samples with comparable salivary cortisol and cortisone concentrations, which are stable under conditions replicating home collection. SaliPac is an acceptable device for salivary sampling in young children.

Salivary metabolome indicates a shift in tyrosine metabolism in patients with burning mouth syndrome: a prospective case-control study.

The pathophysiology of primary burning mouth syndrome (BMS) remains controversial. Targeted analyses or "omics" approach of saliva provide diagnostic or pathophysiological biomarkers. This pilot study's primary objective was to explore the pathophysiology of BMS through a comparative analysis of the salivary metabolome among 26 BMS female cases and 25 age- and sex-matched control subjects. Secondary objectives included comparative analyses of inflammatory cytokines, neuroinflammatory markers, and steroid hormones among cases and control subjects, and among BMS patients according to their clinical characteristics. Salivary metabolome, neuroinflammatory markers, cytokines, and steroids were, respectively, analysed by liquid chromatography coupled with mass spectrometry, ELISA and protease activity assay, and multiparametric Luminex method. Among the 166 detected metabolites, univariate analysis did not find any discriminant metabolite between groups. Supervised multivariate analysis divided patients into 2 groups with an accuracy of 60% but did not allow significant discrimination (permutation test, P = 0.35). Among the metabolites contributing to the model, 3 belonging to the tyrosine pathway ( l -dopa, l -tyrosine, and tyramine) were involved in the discrimination between cases and control subjects, and among BMS patients according to their levels of pain. Among the detectable molecules, levels of cytokines, steroid hormones, and neuroinflammatory markers did not differ between cases and control subjects and were not associated with characteristics of BMS patients. These results do not support the involvement of steroid hormones, inflammatory cytokines, or inflammatory neurogenic mediators in the pathophysiology of pain in BMS, whereas the observed shift in tyrosine metabolism may indicate an adaptative response to chronic pain or an impaired dopaminergic transmission.

A nanostructured o-hydroxyazobenzene porous organic polymer as an effective sorbent for the extraction and preconcentration of selected hormones and insecticides in river water

A nanostructured o-hydroxyazobenzene porous organic polymer (Hazo-POP) was synthesized by the diazo coupling reaction and characterised using various analytical techniques. The nanostructured Hazo-POP material was applied for the extraction and enrichment of neonicotinoid insecticides and steroid hormones in river water samples. The surface characterization techniques confirmed that the synthesized Hazo-POP had a specific surface area of 251 m2 g−1 and it was mesoporous. The influential factors affecting the UA-D-µ-SPE of the neonicotinoid insecticides and steroid hormones were studied using the design of experiments. The quantification of the target analytes in samples was performed using high performance liquid chromatography coupled with a diode array detector (HPLC-DAD). Ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) was used for the confirmation and validation of the results obtained using HPLC-DAD. At optimal experimental conditions, the UA-D-µ-SPE/HPLC-DAD method displayed low limits of detection (LODs) ranging from 0.4 to 1.3 ng/L for steroid hormones and 0.7–1.2 ng/L for neonicotinoid insecticides. Whereas the limits of quantification (LOQs) were 1.3–4.3 ng/L and 2.3–4.0 ng/L for steroid hormones and neonicotinoid insecticides. For UA-D-µ-SPE/UHPLC-MS/MS procedure, LOQs for steroid hormones ranged from 0.03 to 0.50 ng/L and 0.05–0.50 ng/L for neonicotinoid insecticides. The LOQs were 0.10–0.53 ng/L and 0.13–1.70 ng/L for the steroid hormones and insecticides. The accuracy of the method was assessed using a spike recovery test and recoveries of 93.7%–99.5% (n = 4) with precision (relative standard deviation), below 5% for spiked samples at different levels. The applicability of the UA-D-µ-SPE method was evaluated for the analysis of neonicotinoid insecticides and steroid hormones in real water samples before HPLC-DAD and UHPLC-MS/MS determination. The analytical results obtained using HPLC-DAD water samples were < LOQ-56.3 ng/L and < LOQ-56.3 ng/L for steroid hormones and neonicotinoid insecticides. In comparison with the HPLC-DAD results, the concentration of steroid hormones and neonicotinoid insecticides ranged from 0.19 to 55.9 ng/L and 0.38–55.2 ng/L when using UHPLC-MS/MS.

Follicular fluid steroid hormones and in vitro embryo development in Duroc and Landrace pigs

The Duroc sire line has a smaller litter size compared to the Landrace dam line and we have previously observed fewer surface follicles on Duroc ovaries one day after weaning. In that same study, a broader cumulus expansion and faster nuclear maturation were observed for Duroc oocytes at 20 h of in vitro maturation (IVM), while Landrace oocytes showed more advanced stages of cortical granule distributions. However, no differences between breeds were observed after the final IVM period. The aim of this study was to assess subsequent in vitro embryo production (IVP) in Duroc and Landrace. Furthermore, follicle diameter and steroid hormone levels in follicular fluid (FF) were measured to study possible relation to oocyte developmental competence. Follicular phase sow ovaries were collected one day after weaning and follicle size of the 10 largest follicles were measured per ovary before aspiration. Cumulus-oocyte complexes (COCs) were matured in vitro, and cumulus expansion was analysed by assessing individual COC areas at 0 and 20 h. Fertilization of Duroc and Landrace oocytes was performed with sperm from both a Duroc and a Landrace boar. A larger follicle diameter was observed for Landrace animals (5.7 vs. 4.8 mm, P < 0.0001) and individual COC area was additionally larger at 0 h after aspiration (P < 0.0001) compared to Duroc. Contrary, cumulus expansion from 0 to 20 h of maturation was broader for Duroc oocytes than for Landrace (407 ± 67% vs. 319 ± 31%, P < 0.0001). After fertilization, cleavage rate was higher for Duroc oocytes, and the highest blastocyst yield was obtained for Duroc oocytes fertilized with the Landrace sperm. Steroid hormone analysis of the follicular fluid showed differences in the pathways between breeds with a higher total level of estrogens (P = 0.01) and aromatase products/substrates ratio (P < 0.01) in Landrace compared to Duroc. In conclusion, results suggest that Duroc oocytes have a better in vitro oocyte developmental competence when cultured under the same in vitro conditions and breed differences in steroidogenesis were found in the early follicular phase.

Metformin-Treatment Option for Social Impairment? An Open Clinical Trial to Elucidate the Effects of Metformin Treatment on Steroid Hormones and Social Behavior.

Background: Social behavior is mediated by steroid hormones, whereby various lines of evidence indicate that metformin might improve the symptoms of social withdrawal. This directly yields to the aim of the study to correlate the impact of metformin treatment on the potential alterations in steroid hormone homeostasis, which is ultimately impacting social behavior. Therefore, urinary samples of patients before and after treatment with metformin will be correlated to social behavior to elucidate potential changes in steroid hormone profiles and social behavior. Material and Methods: An observational study in healthy adults with a new indication for metformin. Steroid hormone analysis, including the most prominent androgen, estrogen, progesterone, aldosterone, corticosterone, cortisone and cortisol metabolites analyzed with gas chromatography–mass spectrometry and a questionnaire on social behavior (Autism Spectrum Questionnaire (AQ)) will be administered prior to and after around a 12-week phase of metformin treatment. Discussion: It is likely that due to different pathophysiological mechanisms such as an effect on the respiratory chain in mitochondria or via AMP-activated protein kinase, a general alteration of steroid hormone levels can be detected prior to post treatment. The encompassing measurement of steroid hormones shall give hints concerning the involvement of specific cascades yielding potential pharmacological targets for future research.

Endocannabinoid and steroid analysis in infant and adult nails by LC–MS/MS

A common method to quantify chronic stress is the analysis of stress markers in keratinized matrices such as hair or nail. In this study, we aimed to validate a sensitive liquid chromatography–tandem mass spectrometry (LC–MS/MS) method for the combined quantification of steroid hormones and endocannabinoids (eCBs) in the keratinized matrix nail. Furthermore, we aimed to investigate the suitability of the nail matrix for the detection of these stress markers in a pilot study. An LC–MS/MS method was used for the simultaneous identification and quantification of four eCBs (2-arachidonoylglycerol (2-AG), anandamide (AEA), oleoylethanolamide (OEA), palmitoylethanolamide (PEA)) and five steroid hormones (cortisol, cortisone, androstenedione, progesterone, testosterone) in human nails using a surrogate analyte method for each analyte. The method was validated in terms of selectivity, response factor, linearity, limit of quantification (LOQ), precision, accuracy, matrix effect, recovery, robustness, and autosampler stability. Nail samples were extracted for 1 h with methanol following a clean-up with a fully automated supported liquid extraction (SLE). The influence of nail weight on the quantification was investigated by using 0.5–20 mg of nail sample. As a proof of concept, nail samples (N = 57) were analyzed from a cohort representing newborns (1 month old), children (between 1 and 10 years), and adults (up to 43 years). It could be shown that the established workflow using a 1 hour extraction and clean-up by SLE was very robust and resulted in a short sample preparation time. The LC–MS/MS method was successfully validated. Matrix effects with ion enhancement occurred mainly for 2-AG. Sample weights below 5 mg showed variations in quantification for some analytes. Certain analytes such as PEA and progesterone could be accurately quantified at a sample weight lower than 5 mg. This is the first study where steroids and eCBs could be simultaneously detected and quantified in infant and adult nails. These results show that nails may serve as an alternative keratinized matrix (compared to hair) for the retrospective monitoring of cumulative eCB and steroid hormone levels. The combined assessment of eCBs and steroids from nails could provide a new approach to gain new insights into stress exposure in newborns and adults.Graphical abstract

Development of transient trapping micellar electrokinetic chromatography coupled with mass spectrometry for steroids analysis.

An on-line sample preconcentration technique based on transient trapping (tr-trapping) in micellar electrokinetic chromatography (MEKC) was applied for steroid detection with UV (tr-trapping-UV) and electrospray ionization mass spectrometry detection (tr-trapping-ESI-MS). ESI-MS was used to improve the sensitivity in MEKC. The MEKC separation was carried out using volatile ammonium formate as a background solution to facilitate the coupling with ESI-MS. The partial introduction of a sodium dodecyl sulfate (SDS) micellar solution before the introduction of a sample solution to the capillary provided the effective preconcentration of analytes. At the same time, the SDS micelle would not enter the ESI-MS system, so its interference in ESI-MS detection was suppressed under the optimal condition, then five steroids can be separated by the developed method. In tr-trapping-ESI-MS, an acidic condition of pH 3.5 was employed to suppress the electroosmotic flow, which can avoid micellar solution migrating to the MS instrument. The developed method showed that the micellar solution requires a twofold slower time than the sample to migrate along the column, which can prohibit the cause of the problem with the MS instrument and interference signal of SDS in the steroid's detection. The tr-trapping-ESI-MS protocol showed up to 540-fold enhancements of the peak intensity and 50-fold improvement of the limit of detection compared with capillary zone electrophoresis using androsterone as a model sample.