Urinary steroid profiling: a powerful method for the diagnosis of abnormal steroidogenesis

Discovery of MIRAGE syndrome

Since the first report in 2009, whole exome sequencing has become the most effective and efficient research tool in human genetics. MIRAGE syndrome is a novel single-gene disorder discovered through whole-exome sequencing for pediatric patients with adrenal insufficiency of unknown etiology, and is caused by de novo heterozygous variants in SAMD9. MIRAGE syndrome was initially discovered as a systemic disease affecting multiple systems, including hematopoietic, immune, endocrine, and gastrointestinal systems but later studies revealed a subset of patients with myelodysplastic syndrome as the sole manifestation. In addition, pathogenic variants in SAMD9L, a paralog gene of SAMD9, were reported to cause an inherited disorder of the hematopoietic system and central nervous system, called ataxia-pancytopenia syndrome. This article reviews the history of MIRAGE syndrome from its discovery to the proposal of SAMD9/SAMD9L syndromes, and discusses directions for future research.

From a single steroid to the steroidome: Trends and analytical challenges

For several decades now, the analysis of steroids has been a key tool in the diagnosis and monitoring of numerous endocrine pathologies. Thus, the available methods used to analyze steroids in biological samples have dramatically evolved over time following the rapid pace of technology and scientific knowledge. This review aims to synthetize the advances in steroids' analysis, from classical approaches considering only a few steroids or a limited number of steroid ratios, up to the new steroid profiling strategies (steroidomics) monitoring large sets of steroids in biological matrices. In this context, the use of liquid chromatography coupled to mass spectrometry has emerged as the technique of choice for the simultaneous determination of a high number of steroids, including phase II metabolites, due to its sensitivity and robustness. However, the large dynamic range to be covered, the low natural abundance of some key steroids, the selectivity of the analytical methods, the extraction protocols, and the steroid ionization remain some of the current challenges in steroid analysis. This review provides an overview of the different analytical workflows available depending on the number of steroids under study. Special emphasis is given to sample treatment, acquisition strategy, data processing, steroid identification and quantification using LC-MS approaches. This work also outlines how the availability of steroid standards, the need for complementary analytical strategies and the improvement of calibration approaches are crucial for achieving complete steroidome quantification.

Non-targeted LC-MS based metabolomics analysis of the urinary steroidal profile

The urinary steroidal fraction has been extensively explored as non-invasive alternative to monitor pathological conditions as well as to unveil the illicit intake of pseudo-endogenous anabolic steroids in sport. However, the majority of previous approaches involved the a priori selection of potentially relevant target analytes. Here we describe the non-targeted analysis of the urinary steroidal profiles. The workflow includes minimal sample pretreatment and normalization according to the specific gravity of urine, a 20 min reverse phase ultra-performance liquid chromatographic separation hyphenated to electrospray time-of-flight mass spectrometry. As initial validation, we analyzed a set of quality control urines spiked with glucurono- and sulfo-conjugated steroids at physiological ranges. We then applied the method for the analysis of samples collected after single transdermal administration of testosterone in hypogonadal men. The method allowed profiling of approximately three thousand metabolic features, including steroids of clinical and forensic relevance. It successfully identified metabolic pathways mostly responsible for groups clustering even in the context of high inter-individual variability and allowed the detection of currently unknown metabolic features correlating with testosterone administration. These outcomes set the stage for future studies aimed at implementing currently monitored urinary steroidal markers both in clinical and forensic analysis.

A case of mature teratoma with a falsely high serum estradiol value measured with an immunoassay

BACKGROUND

Immunoassays (IAs) are widely used to measure concentration of serum estradiol (E2) despite some limitations including cross-reactivity. Liquid chromatography-tandem mass spectrometory (LC-MS/MS) for E2 measurement has a theoretically greater specificity and sensitivity than IAs. We report a case with unexpected discrepancy in E2 values measured by IA and LC-MS/MS.

CASE PRESENTATION

A 7-year-old girl was referred because of an ovarian tumor. Physical examinations revealed prepubertal statuses. Serum E2 with ECLIA was 69 pg/mL. GnRH stimulation test revealed a prepubertal response. On imaging studies, the diagnosis was mature teratoma of the right ovary. After tumor enucleation, the diagnosis was pathologically confirmed. E2 with ECLIA decreased to 11 pg/mL. Preoperative E2 with LC-MS/MS was 1.15 pg/mL.

CONCLUSIONS

We conclude the preoperative E2 with ECLIA was falsely high. We speculate the antibody used in ECLIA had cross-reactivity to endogenous compounds. LC-MS/MS should be considered when high serum E2 measured with IA is inconsistent with physical and/or endocrinological data.

Classic and non-classic 21-hydroxylase deficiency can be discriminated from P450 oxidoreductase deficiency in Japanese infants by urinary steroid metabolites

We previously reported a two-step biochemical diagnosis to discriminate classic 21-hydroxylase deficiency (C21OHD) from P450 oxidoreductase deficiency (PORD) by using urinary steroid metabolites: the pregnanetriolone/tetrahydrocortisone ratio (Ptl / the cortisol metabolites 5α- and 5β-tetrahydrocortisone (sum of these metabolites termed THEs), and 11β-hydroxyandrosterone (11OHAn). The objective of this study was to investigate whether both C21OHD and non-classic 21OHD (C+NC21OHD) could be biochemically differentiated from PORD. We recruited 55 infants with C21OHD, 8 with NC21OHD, 16 with PORD, 57 with transient hyper-17α-hydroxyprogesteronemia (TH17OHP), and 2,473 controls. All infants were Japanese with ages between 0-180 d. In addition to Ptl, THEs, and 11OHAn, we measured urinary tetrahydroaldosterone (THAldo) and pregnenediol (PD5). The first step: by Ptl with the age-specific cutoffs 0.06 mg/g creatinine (0-10 d of age) and 0.3 mg/g creatinine (11-180 d of age), we were able to differentiate C+NC21OHD and PORD from TH17OHP and controls (0-10 d of age: 0.065-31 vs. < 0.001-0.052, 11-180 d of age: 0.40-42 vs. < 0.001-0.086) with 100% sensitivity and specificity. The second step: by the 11OHAn/THAldo or 11OHAn/PD5 ratio with a cutoff of 0.80 or 1.0, we were able to discriminate between C+NC21OHD and PORD (1.0-720 vs. 0.021-0.61 or 1.8-160 vs. 0.005-0.32, respectively) with 100% sensitivity and specificity. Ptl, 11OHAn/THAldo, and 11OHAn/PD5 could differentiate between C+NC21OHD and PORD in Japanese infants.