ArticleMetabolites2023
Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population.
Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07037082 (Understanding Socio-ecological Variation in Menstrual Cycles to Advance Female Health), which is not on this map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Understanding Socio-ecological Variation in Menstrual Cycles to Advance Female Health
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Salivary Cortisone as a Potential Alternative to Cortisol in Periodontitis Severity Assessment.International journal of molecular sciences · 2026Article
- Adulteration of Sports Supplements with Anabolic Steroids-From Innocent Athlete to Vicious Cheater.Nutrients · 2025Review
- Non-invasive assessment of free steroid hormones: development of a high-throughput LC-MS/MS method for salivary steroid hormone quantification.Analytical and bioanalytical chemistry · 2025Article
- Preserved circadian variation in cortisol and androgens during a ski traverse of Antarctica in summer.Scientific reports · 2025Observational
- A study protocol for assessing the effects of intangible cultural heritage experiences on human well-being.PloS one · 2025Article
- Simultaneous Determination of Tobacco Smoke Exposure and Stress Biomarkers in Saliva Using In-Tube SPME and LC-MS/MS for the Analysis of the Association between Passive Smoking and Stress.Molecules (Basel, Switzerland) · 2024Article
- De novo steroidogenesis in tumor cells drives bone metastasis and osteoclastogenesis.Cell reports · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
A number of steroids, including glucocorticoids and sex hormones, have been associated with neurodegenerative and cardiovascular conditions common in aging populations. The application of liquid chromatography tandem mass spectrometry (LC-MS/MS) steroid analysis offers an opportunity to conduct simultaneous multiplex steroid analysis within a given sample. In this paper, we describe the application of an LC-MS/MS steroid analysis method for the assessment of reference ranges of steroids in human saliva samples (200 µL) collected from older adults (age 50 years and above) enrolled in a European cohort investigating the risk for Alzheimer's dementia. Saliva samples were prepared using supported liquid extraction (SLE) along with a calibration curve and analysed using a Waters I-Class UPLC (Ultra Performance Liquid Chromatography) and a Sciex QTrap 6500+ mass spectrometer. Mass spectrometry parameters of steroids were optimised for each steroid and a method for the chromatographic separation of 19 steroids was developed. Lower limits of quantitation (LLOQs), linearity and other method criteria were assessed. In total, data from 125 participants (500 samples) were analysed and assessed for reference ranges (64 male, 61 female). A total of 19 steroids were detected in saliva within the range of the method. There were clear diurnal patterns in most of the steroid hormones detected. Sex differences were observed for androstenedione (A4), testosterone (T), cortisone (E) and aldosterone (Aldo). In the first sample of the day, dehydroepiandrosterone (DHEA) was significantly higher in healthy volunteers compared to those with Alzheimer's disease biomarkers. This LC-MS/MS method is suitable for the analysis of 19 steroids in saliva in adults.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.