Determination of steroid profile in hair by liquid chromatography tandem mass spectrometry

Gómez-Gómez, Álex; Pozo, Óscar J.

doi:10.1016/j.chroma.2020.461179

Cited by 27 publications

(24 citation statements)

References 34 publications

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“…The methods for extracting and concentrating the molecules of interest are often the subject of method developments. It is essential to compare their efficiencies for accurate extraction of the molecule(s) of interest and efficient elimination of the components of biological matrices (e.g., plasma, urine, or even saliva) at the same time [105,106]. The, sometimes minute, quantities of certain steroids require sufficient sensitivity to ensure detection in the range of pg/mL [104].…”

Section: Methodologiesmentioning

confidence: 99%

Six Decades of Research on Human Fetal Gonadal Steroids

Connan-Perrot

Léger

Lelandais

et al. 2021

IJMS

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Human fetal gonads acquire endocrine steroidogenic capabilities early during their differentiation. Genetic studies show that this endocrine function plays a central role in the sexually dimorphic development of the external genitalia during fetal development. When this endocrine function is dysregulated, congenital malformations and pathologies are the result. In this review, we explain how the current knowledge of steroidogenesis in human fetal gonads has benefited from both the technological advances in steroid measurements and the assembly of detailed knowledge of steroidogenesis machinery and its expression in human fetal gonads. We summarise how the conversion of radiolabelled steroid precursors, antibody-based assays, mass spectrometry, ultrastructural studies, and the in situ labelling of proteins and mRNA have all provided complementary information. In this review, our discussion goes beyond the debate on recommendations concerning the best choice between the different available technologies, and their degrees of reproducibility and sensitivity. The available technologies and techniques can be used for different purposes and, as long as all quality controls are rigorously employed, the question is how to maximise the generation of robust, reproducible data on steroid hormones and their crucial roles in human fetal development and subsequent functions.

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Section: Methodologiesmentioning

confidence: 99%

Six Decades of Research on Human Fetal Gonadal Steroids

Connan-Perrot

Léger

Lelandais

et al. 2021

IJMS

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“…Familiarity with the participant was significantly associated with the magnitude of absolute difference in hair progesterone concentrations between HOME and LAB samples (ΔHProg); however, the regression model was not significant (Table 5 ). HOME collection circumstances and layperson characteristics did not affect the association between HOME and LAB hair steroid concentrations (Tables 2 , 3 , 4 , 5 , 6 ).…”

Section: Resultsmentioning

confidence: 92%

“…Related to the differences in measurement sensitivity and accuracy between analysis methods, the two previous studies using immunoassays (Enge et al 2020 : intra-assay and inter-assay CV below 8%; Ouellet et al 2016 : intra-assay CV: 5.39%) reported slightly lower coefficients of variation (CVs) compared to LC–MS/MS in our study (cortisol: 8.7% and 12.6% for intra- and inter-assay CV, respectively). Although the CVs were considered acceptable for LC–MS/MS (Gomez-Gomez and Pozo 2020 ), the precision of the analysis method might have an impact on the estimation of values (measurement error), and in turn, may affect the correlation due to the within-individual variation. The within-individual variance in HCC might be further increased by possible deviations from the ideal site on the scalp (‘posterior vertex’) (Cooper et al 2012 ), as there is some evidence of lower intra-individual variations in HCC within the posterior vertex than within or between other collection regions (Li et al 2012 ; Sauve et al 2007 ).…”

Section: Discussionmentioning

confidence: 99%

“…For HC, HCn, HDHEA, and HProg, intra-assay coefficients of variation were 8.7%, 7.2%, 10.2%, and 12.5%, respectively, and inter-assay coefficients of variation were 12.6%, 8.6%, 13.8%, and 18.2%, respectively. According to a most recent study (Gomez-Gomez and Pozo 2020 ) using liquid chromatography tandem mass spectrometry for the determination of steroid profile in hair, the LC/MS–MS method is considered precise if CVs are below 15% and 20% for medium-to-high and low quality controls (QC), respectively.…”

Section: Methodsmentioning

confidence: 99%

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HOME vs. LAB hair samples for the determination of long-term steroid concentrations: a comparison between hair samples collected by laypersons and trained research staff

Skoluda

Piroth²,

Gao

et al. 2021

J Neural Transm

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Hair segment analysis is a valuable tool for the assessment of cumulative long-term steroid secretion. Preliminary findings suggest comparable cortisol concentrations in hair collected by instructed laypersons and research staff. However, it remains unclear whether hair sample quality and hair steroids other than cortisol are affected by level of experience (laypersons vs. research staff), home collection circumstances (instructions, familiarity to participant, performance confidence), and characteristics of the layperson (conscientiousness). Sixty participants (23.6 ± 3.9 years; 43 females) provided hair samples twice: first collected by laypersons (HOME) according to provided instructions (written vs. written/video-based instructions) and second by trained research staff (LAB) on the same day or the day after the HOME collection. Hair steroid concentrations (cortisol, cortisone, DHEA, progesterone) were determined using LC–MS/MS. Hair sample quality was evaluated using nine predefined criteria. Laypersons completed questionnaires for the assessment of potential factors of hair outcome measures (hair steroid concentrations, hair sample quality). Hair steroids from HOME and LAB samples were positively correlated (rs between 0.76 and 0.89) and did not significantly differ, with the exception of cortisone. The quality of hair samples was significantly higher for LAB than for HOME samples. Neither HOME collection circumstances nor layperson-related characteristics had an impact on hair outcome measures. However, a low self-reported performance confidence predicted a high absolute difference between HOME and LAB DHEA. In summary, our findings suggest higher quality of hair samples collected by trained research staff compared to instructed laypersons. However, these differences might be negligible, considering the high correlation between HOME and LAB hair steroid concentrations, with the characteristics of the layperson or collection circumstances having a minor impact on hair steroids and hair sample quality. These findings provide further support for the notion that well-instructed laypersons can be enabled to collect hair samples.

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“…Since hair grows about one centimeter per month (127), the selection of this segment implies that the level of chronic stress accumulated over the month prior to sampling can be identified. The analysis was carried out using a LC-MS/MS (liquid chromatography-tandem mass spectrometry) validated method (128). From this analysis, 11 targeted compounds were quantified (see Table 3).…”

Section: Hair Sampling and Analysis Proceduresmentioning

confidence: 99%

Precarious Employment and Stress: The Biomedical Embodiment of Social Factors. PRESSED Project Study Protocol

Bolíbar

Belvis

Jódar

et al. 2021

Front. Public Health

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The PRESSED project aims to explain the links between a multidimensional measure of precarious employment and stress and health. Studies on social epidemiology have found a clear positive association between precarious employment and health, but the pathways and mechanisms to explain such a relationship are not well-understood. This project aims to fill this gap from an interdisciplinary perspective, integrating the social and biomedical standpoints to comprehensively address the complex web of consequences of precarious employment and its effects on workers' stress, health and well-being, including health inequalities. The project objectives are: (1) to analyze the association between multidimensional precarious employment and chronic stress among salaried workers in Barcelona, measured both subjectively and using biological indicators; (2) to improve our understanding of the pathways and mechanisms linking precarious employment with stress, health and well-being; and (3) to analyze health inequalities by gender, social class and place of origin for the first two objectives. The study follows a sequential mixed design. First, secondary data from the 2017 Survey on Workers and the Unemployed of Barcelona is analyzed (N = 1,264), yielding a social map of precarious employment in Barcelona that allows the contextualization of the scope and characteristics of this phenomenon. Drawing on these results, a second survey on a smaller sample (N = 255) on precarious employment, social precariousness and stress is envisaged. This study population is also asked to provide a hair sample to have their levels of cortisol and its related components, biomarkers of chronic stress, analyzed. Third, a sub-sample of the latter survey (n = 25) is selected to perform qualitative semi-structured interviews. This allows going into greater depth into how and why the experience of uncertainty, the precarization of living conditions, and the degradation of working conditions go hand-in-hand with precarious employment and have an impact on stress, as well as to explore the potential role of social support networks in mitigating these effects.

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Determination of steroid profile in hair by liquid chromatography tandem mass spectrometry

Cited by 27 publications

References 34 publications

Six Decades of Research on Human Fetal Gonadal Steroids

Six Decades of Research on Human Fetal Gonadal Steroids

HOME vs. LAB hair samples for the determination of long-term steroid concentrations: a comparison between hair samples collected by laypersons and trained research staff

Precarious Employment and Stress: The Biomedical Embodiment of Social Factors. PRESSED Project Study Protocol

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