Metabolomics Creative Proteomics

Steroid Hormone Analysis Service

Accurate steroid hormone profiling is critical for understanding endocrine pathways, regulatory mechanisms, and physiological responses. At Creative Proteomics, we deliver ultra-sensitive LC-MS/MS and GC-MS/MS analysis, providing actionable data for research in endocrinology, metabolism, reproduction, and stress biology.

Key Advantages

  • Comprehensive Coverage – Detect >20 steroid hormones across multiple biosynthetic pathways in one run
  • Ultra-Sensitive Detection – LOD down to 2–5 pg/mL for low-abundance targets
  • High Quantitative Accuracy – Multi-point calibration (R² ≥ 0.995), CV ≤ 10%
  • Multi-Matrix Capability – Plasma, serum, urine, tissue, plant extracts, cell cultures
  • Pathway-Level Insights – Hormone ratio calculations & KEGG/HMDB mapping
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What Are Steroid Hormones?

Steroid hormones are a group of lipophilic signaling molecules synthesized primarily from cholesterol. They exert their effects by binding to specific intracellular or membrane-bound receptors, regulating gene transcription, protein synthesis, and cellular activity. These hormones are categorized into distinct classes—glucocorticoids, mineralocorticoids, androgens, estrogens, progestogens, and their biosynthetic precursors—and play vital roles in maintaining metabolic balance, reproductive function, immune modulation, and stress adaptation.

Because steroid hormones can diffuse across membranes and have relatively short half-lives, their concentrations fluctuate rapidly in response to environmental, developmental, or physiological stimuli. This dynamic nature makes them valuable indicators in biochemical, physiological, and molecular studies.

Why Conduct Steroid Hormone Analysis?

Accurate steroid hormone analysis is fundamental for understanding biochemical pathways, evaluating endocrine function, and investigating physiological adaptations.

Our clients typically seek steroid hormone profiling to:

  • Map Biosynthetic Pathways – Quantify hormone intermediates and end products for pathway characterization.
  • Assess Hormonal Balance – Detect shifts in multiple hormones to study regulatory feedback mechanisms.
  • Support Mechanistic Studies – Correlate hormone levels with gene expression, proteomics, or metabolomics data.
  • Compare Experimental Conditions – Identify hormone-level changes across treatments, genotypes, or environmental conditions.

Creative Proteomics enables researchers to overcome common challenges such as low hormone abundance, matrix interference, and the need for simultaneous multi-hormone detection.

Comprehensive Steroid Hormone Analysis Service by Creative Proteomics

  • Targeted LC-MS/MS and GC-MS/MS Quantification – Ultra-sensitive measurement of specific steroid hormones, ideal for validating biomarkers or confirming pathway intermediates.
  • Comprehensive Multi-Hormone Panels – Simultaneous profiling of glucocorticoids, mineralocorticoids, androgens, estrogens, progestogens, and their key precursors in a single run.
  • Custom Hormone Analysis Design – Tailored target lists and detection parameters to address unique project requirements, from developmental studies to stress physiology.
  • Stable Isotope-Labeled Internal Standards – Ensuring accuracy by compensating for matrix effects across all sample types.
  • Pathway Mapping and Comparative Analysis – Linking hormone quantification results to KEGG/HMDB pathways for functional interpretation and experimental comparisons.

List of Detected Steroid Hormones and Related Analytes

Steroid Class Representative Hormones Associated Detectable Metabolites / Precursors
Glucocorticoids Cortisol, Cortisone 11-Deoxycortisol, 21-Deoxycortisol, Tetrahydrocortisol (THF), Allotetrahydrocortisol (allo-THF), Tetrahydrocortisone (THE), 6β-Hydroxycortisol
Mineralocorticoids Aldosterone, Deoxycorticosterone 18-Hydroxycorticosterone, 11-Deoxycorticosterone (DOC), Tetrahydrodeoxycorticosterone (THDOC)
Androgens Testosterone, Dihydrotestosterone (DHT), Androstenedione Androsterone, Etiocholanolone, 3α-Androstanediol, 3β-Androstanediol, Dehydroepiandrosterone (DHEA), DHEA-Sulfate (DHEA-S)
Estrogens Estradiol (E2), Estrone (E1), Estriol (E3) 2-Hydroxyestrone, 4-Hydroxyestrone, 16α-Hydroxyestrone, 2-Methoxyestrone, 2-Methoxyestradiol
Progestogens Progesterone, 17α-Hydroxyprogesterone 20α-Dihydroprogesterone, 5α-Dihydroprogesterone, Pregnanediol, Pregnanetriol, Allopregnanolone
Precursors Pregnenolone, 17α-Hydroxypregnenolone Isopregnanolone, 21-Hydroxypregnenolone
Plant Steroids (optional panel) Brassinolide, Castasterone 6-Deoxocastasterone, Teasterone, Typhasterol
Conjugated Forms (optional panel) Sulfated or glucuronidated derivatives of the above classes Estrone sulfate, Testosterone glucuronide, Cortisol sulfate

Why Choose Our Steroid Hormone Analysis Service: Key Advantages

  • Ultra-Sensitive Quantification – Limits of detection down to 2–5 pg/mL for most steroid hormones, enabling accurate profiling of low-abundance analytes.
  • High Analytical Precision – Multi-point calibration with R² ≥ 0.995; intra- and inter-batch CV ≤ 10% to ensure data reproducibility.
  • Comprehensive Hormone Panel – Simultaneous detection of >20 steroid hormones across glucocorticoid, mineralocorticoid, androgen, estrogen, and progestogen pathways.
  • Stable Isotope Dilution – Isotope-labeled internal standards for each target to correct matrix effects and guarantee absolute quantification.
  • Integrated Bioinformatics Output – Includes hormone ratio calculations, pathway-level mapping (KEGG/HMDB), and comparative statistical analysis.

Steroid Hormone Assay Technical Details & Coverage

Our steroid hormone assays are performed on high-sensitivity LC-MS/MS and GC-MS/MS platforms to deliver the selectivity and sensitivity required for accurate hormone quantification. Compared with single-stage LC-MS or GC-MS, tandem MS/MS allows selective monitoring of precursor-to-product ion transitions, reducing matrix interference and enabling reliable quantification of structurally similar compounds at pg/mL levels.

Instrumentation:

  • LC-MS/MS – Sciex QTRAP® 6500+, Thermo TSQ Altis, Waters Xevo TQ-S, coupled with UHPLC systems using reverse-phase C18 columns (2.1 × 100 mm, 1.7 μm).
  • GC-MS/MS – Agilent 7890B GC with 7000D Triple Quadrupole for volatile or derivatized steroids.

Detection Mode: Multiple Reaction Monitoring (MRM) with polarity switching to maximize analyte coverage.

Example Transitions: Testosterone (m/z 289 → 97), Estradiol (m/z 271 → 145), Cortisol (m/z 363 → 121), Progesterone (m/z 315 → 97).

LOD: Typically 2–5 pg/mL for most analytes; Dynamic Range: 5–6 orders of magnitude.

By combining LC-MS/MS for thermolabile or polar hormones and GC-MS/MS for volatile derivatives, our method ensures full coverage of glucocorticoids, mineralocorticoids, androgens, estrogens, progestogens, and their key precursors and metabolites.

SCIEX Triple Quad™ 6500+

SCIEX Triple Quad™ 6500+ (Figure from Sciex)

Waters Xevo TQ-s

Waters Xevo TQ-s (Figure from Waters)

Agilent 7890B GC

7890B GC system (Figure from Agilent)

Vanquish UHPLC systems

Vanquish UHPLC systems(Figure from Thermo)

Step-by-Step Workflow for Steroid Hormone Analysis

1

Consultation & Project Confirmation

  • Discuss research goals, sample types, and analytical requirements with our technical experts.
  • Determine assay scope (target hormones, detection platform, quantitative/qualitative approach).
  • Provide a customized quotation and confirm project timeline.
2

Sample Submission

  • Prepare samples according to our Sample Requirements guidelines.
  • Label samples clearly with unique identifiers and relevant metadata.
  • Ship samples under recommended conditions (e.g., dry ice at -80 °C) to ensure integrity.
3

Sample Reception & Quality Check

  • Upon arrival, samples are logged into our secure tracking system.
  • Initial quality assessment is performed (volume, condition, contamination check).
  • Samples are stored under optimal conditions until processing.
4

Sample Preparation & Extraction

  • Utilize validated protocols for the extraction and purification of steroid hormones from various matrices (serum, plasma, urine, tissue, cells, etc.).
  • Incorporate internal standards to ensure accuracy and consistency.
5

Instrumental Analysis (GC-MS/MS or LC-MS/MS)

  • Perform highly sensitive and specific detection using advanced GC-MS/MS or LC-MS/MS platforms.
  • Apply optimized chromatographic separation and mass spectrometric conditions tailored for steroid hormones.
6

Data Processing & Quantification

  • Process raw spectra to identify and quantify target hormones.
  • Apply internal standard calibration and correction for matrix effects.
  • Calculate detection limits (LOD/LOQ) and ensure data quality via QC samples.
7

Quality Control & Validation

  • Evaluate signal stability, peak shape, retention time, and repeatability.
  • Confirm results with standard curves and replicate analyses if necessary.
8

Data Analysis & Visualization (Optional)

  • Conduct statistical analyses (t-test, ANOVA, PCA, PLS-DA).
  • Generate professional visual outputs such as heatmaps, volcano plots, and correlation networks.
Steroid Hormone Assay Workflow

How to Prepare Your Samples for Steroid Hormone Quantification

Sample Type Recommended Amount/Volume Storage Condition Shipping Requirement Notes
Serum ≥ 200 μL -80 °C Ship on dry ice Avoid repeated freeze–thaw cycles
Plasma ≥ 200 μL -80 °C Ship on dry ice Specify anticoagulant type
Urine ≥ 500 μL -80 °C Ship on dry ice Prefer first-morning urine; avoid bacterial contamination
Tissue ≥ 50 mg -80 °C Ship on dry ice Pre-cool and grind into powder if possible
Cells ≥ 1×10⁶ cells -80 °C Ship on dry ice Wash with PBS to remove culture medium
Cell Culture Supernatant ≥ 500 μL -80 °C Ship on dry ice Filter to remove debris
Other Special Samples Project-specific assessment -80 °C Ship on dry ice Please contact our technical team in advance

From Lab to Discovery: Applications of Steroid Hormone Testing

Pharmaceutical & Biotechnology Research

Support drug discovery, efficacy evaluation, and safety assessment for hormone-related compounds.

Sports Science & Anti-Doping

Detect exogenous hormone use and study performance-related physiological changes.

Metabolic and Stress Response Studies

Investigate hormone fluctuations in metabolism, energy regulation, and stress adaptation.

Reproductive Biology Research

Monitor hormone dynamics in developmental, fertility, and endocrinology studies.

Veterinary & Animal Science

Assess reproductive status and endocrine functions in livestock, companion animals, and wildlife.

Environmental & Ecotoxicology Studies

Evaluate the impact of endocrine-disrupting chemicals on organisms and ecosystems.

Deliverables: What You Get from Our Steroid Hormone Analysis Service

Raw Data Files

  • Original GC-MS/MS or LC-MS/MS spectral files
  • Instrument parameters and acquisition settings

Quantitative/Semi-Quantitative Results Table

  • Concentrations of targeted steroid hormones (ng/mL or ng/g)
  • Internal standard correction data and detection limits (LOD/LOQ)

Quality Control (QC) Report

  • Signal intensity, peak shape, and retention time assessments
  • Standard curves with correlation coefficients (R² values)
  • Method repeatability and stability validation

Optional Statistical and Visualization Analysis

  • Comparative analysis between sample groups (t-test, ANOVA, etc.)
  • Multivariate analysis (PCA, PLS-DA)
  • Visual outputs such as heatmaps and volcano plots

Comprehensive Project Report (PDF)

  • Detailed description of experimental methods and parameters
  • Summary of detection results
  • Data interpretation and key conclusions
GC-MS/MS chromatogram showing sharp peaks at ~3.2, 7.8, 12.4, and 15.7 min labeled Hormone A–D.

GC-MS/MS chromatogram with labeled steroid hormone peaks (A–D).

LC-MS/MS chromatogram with purple curve and filled baseline; peaks at ~1.8, 4.9, 7.6, 10.5, and 13.8 min labeled E–I.

LC-MS/MS chromatogram highlighting five target hormones (E–I) with high-resolution separation.

Two-dimensional PCA of steroid profiles; three groups cluster apart with dashed 95% ellipses.

PCA scatter plot (PC1 vs PC2) showing clear separation of Control, Treatment A, and Treatment B with 95% confidence ellipses.

Volcano plot of differential steroid levels; significant hormones marked as squares beyond fold-change and p-value thresholds.

Volcano plot highlighting significantly altered steroid hormones (|log2FC| ≥ 1, p < 0.05).

Estrogen–Microbiota Link Revealed by Steroid Hormone Profiling


Journal: Microbiota and Host

Published: October 2023

DOI: https://doi.org/10.1530/MAH-23-0010


Background

Sex differences in gut microbiota arise from both sex hormones and sex chromosomes. Disentangling their roles requires models that decouple gonadal sex from XX/XY complement.


Objective

Determine whether sex hormones or sex chromosomes primarily shape gut microbiota, and test whether Akkermansia muciniphila responds to estrogen.


Model & Methods

  • Four-core genotype (FCG) mice (XX or XY with ovaries; XX or XY with testes), 15–16 weeks; n=6–8/group.
  • Gonadectomy to deplete circulating sex steroids.
  • Plasma steroid quantification: LC-MS/MS (ESI-MRM) multi-hormone panel (Creative Proteomics); key readouts included estradiol, progesterone, testosterone and precursors/metabolites.
  • Microbiota profiling: 16S rRNA sequencing; α/β diversity analyses.
  • In vitro assay: growth of A. muciniphila ± β-estradiol (2.2–10 μM).

Key Findings

  • Hormone depletion confirmed: ovariectomy lowered estradiol and progesterone in females (P<0.001/0.03); castration markedly reduced testosterone in males (P<0.0001).
  • Diversity shifts: female α-diversity increased after gonadectomy regardless of XX/XY; male β-diversity differed between XX and XY.
  • A. muciniphila is estrogen-responsive: abundance decreased in gonadectomized females vs intact (P<0.0001). β-estradiol dose-dependently increased A. muciniphila growth in vitro (P<0.001).
  • Conclusion: Sex hormones override sex chromosomes in shaping gut microbiota in this model; estrogen positively associates with Akkermansia.

Dot plots (A–F) comparing intact vs gonadectomized mice: decreased estradiol in females, XX>XY aldosterone, and decreased testosterone in males; other measures unchanged.Plasma steroids after gonadectomy. Ovariectomy lowers female estradiol; aldosterone shows XX>XY effect. Castration reduces male testosterone; estradiol/aldosterone unchanged. Two-way ANOVA; n=4–6/group; *P<0.05.


Impact for Researchers.

  • Integrating steroid profiling (LC-MS/MS) with microbiome readouts can reveal hormone–microbe interactions that underlie metabolic and immune phenotypes.
  • Supports study designs probing estrogen signaling, microbiota modulation, and pathway-level mechanisms in preclinical models.

Reference

  1. Sakamuri, Anil, et al. "Sex hormones, sex chromosomes, and microbiota: identification of Akkermansia muciniphila as an estrogen-responsive bacterium." Microbiota and host 1.1 (2023).

How do I choose between LC-MS/MS and GC-MS/MS?

Base it on analyte properties and derivatization feasibility: thermally stable/volatile → GC-MS/MS; polar/thermolabile → LC-MS/MS. For broad coverage, a complementary dual-platform design works best.

Can you measure conjugated steroids (sulfates/glucuronides)?

Yes. We can quantify conjugates directly and, if needed, run pre/post-enzyme hydrolysis to report total vs free forms.

How do you normalize urine results?

We offer creatinine normalization and, on request, specific gravity/osmolality normalization alongside absolute concentrations.

How are tissue and cell results reported?

Commonly as ng/g wet tissue, ng/10⁶ cells, or ng/mg protein—we'll align the unit with your study design.

How do you control batch effects in large studies?

Randomized run order, pooled-QC insertion, drift correction (e.g., LOESS), and matrix-matched calibration; QC trend plots and acceptance criteria are provided.

Do you accept blinded samples?

Yes. We can receive and process fully blinded IDs; unblinding occurs only after data sign-off.

Can you run a small pilot first?

Absolutely—pilot runs assess recovery, linearity, matrix effects, and background to lock the final target list and settings.

How do you handle structural isomers and close analogs?

Optimized chromatographic separation (e.g., C18/phenyl-hexyl/selectivity tuning) plus specific MRM transitions; isotope internal standards are used where available.

Can results be aligned across multiple batches or platforms?

Yes—via anchor samples, shared calibrator lots, and cross-platform comparison plots with regression statistics.

What if my sample volume is limited?

We offer micro-volume workflows and enrichment; we can also prioritize a focused target panel to stay within quantifiable range.

What output formats do you provide for downstream analysis?

CSV/XLSX result tables (with metadata and missing-value flags) and optional open data formats (e.g., mzML/RAW) for reprocessing.

How do you minimize carryover and inter-sample contamination?

Autosampler needle washes, bracketed blanks, and post-high calibrator blanks; suspected carryover triggers re-injection with documentation.

Can you integrate with other 'omics datasets?

Yes. We can deliver hormone ratios and pathway-level summaries tailored for integration with transcriptomics, proteomics, or metabolomics.

Do you provide collection/packaging guidance?

Yes—standardized collection SOPs, pre-labeled barcodes, packing checklists, and temperature-control recommendations.

How do you handle outliers?

Pre-defined QC/statistical rules identify outliers; if needed we re-extract/re-inject and transparently flag actions in the results.

Can the same run include human and animal samples?

It's possible but we recommend stratified randomization, cross-matrix QCs, and separate calibration to maintain comparability.

Can you support method transfer or co-development?

Yes—joint development or transfer of target lists, MRM transitions, LC conditions, and QC criteria to facilitate in-house reproduction.

Do you support creatinine-corrected reporting and absolute quantitation together?

Yes—both can be presented side-by-side to aid cross-group comparisons.

Inflammation primes the kidney for recovery by activating AZIN1 A-to-I editing

Heruye, S., Myslinski, J., Zeng, C., Zollman, A., Makino, S., Nanamatsu, A., ... & Hato, T.

Journal: bioRxiv

Year: 2023

Insulin resistance does not impair mechanical overload-stimulated glucose uptake, but does alter the metabolic fate of glucose in mouse muscle

Weyrauch, L. A., McMillin, S. L., & Witczak, C. A.

Journal: International Journal of Molecular Sciences

Year: 2020

For Research Use Only. Not for use in diagnostic procedures.
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