Direct quantitation of endogenous steroid sulfates in human urine by liquid chromatography‐electrospray tandem mass spectrometry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A method based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the direct quantitation of endogenous steroid sulfates has been developed to be able to evaluate these metabolites as biomarkers to detect the misuse of endogenous androgenic anabolic steroids in sports. For sample preparation, a mixed-mode solid-phase extraction was optimized to eliminate the glucuronide fraction in the washing step thus obtaining only the sulfate fraction. Chromatographic separation was optimized to achieve adequate resolution between isomers. The electrospray ionization and the product ion mass spectra of the sulfates were studied in order to obtain the most specific and selective transitions. The method was validated for quantitative purposes for 11 steroid sulfates obtaining satisfactory values for linearity, accuracy, and intra- and inter-day precision (relative standard deviation better than 16.2%). Limits of quantitation ranged between 0.5 and 2 ng/mL. Extraction recoveries for sulfate metabolites were between 90 and 94%. Matrix effect ranged from 90 to 110% showing the absence of significant ion suppression/enhancement. Samples were found to be stable after 2 freeze/thaw cycles. The applicability of the method was checked by the analysis of 75 urine samples from healthy volunteers (54 males, 37 Caucasian and 17 Asian, and 21 Caucasian females) to evaluate the concentration levels of endogenous sulfate metabolites in basal conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it