
QMDB
Quantitative reference ranges for 620+ metabolites with demographic filtering for metabolomics studies.
Overview
The Quantitative Metabolomics Database (QMDB), developed by biocrates life sciences, is the first quantitative and standardized metabolite database designed to answer a fundamental question in comparative metabolomics: what is the normal concentration range for a given metabolite? Because every individual's metabolome varies due to internal and external factors, defining "normal" is inherently complex. QMDB addresses this challenge by combining sample metadata with quantitative reference ranges derived from standardized biocrates technology, providing researchers with a robust reference framework for metabolomics studies.
QMDB is built on data generated using biocrates' MxP® Quant 500 and AbsoluteIDQ® p180 assays, and contains metabolite concentration ranges measured in human plasma samples from healthy individuals — subjects undiagnosed with any disease. The database is intended for researchers in clinical, nutritional, and translational metabolomics who need reliable reference data to support study design, data interpretation, and hypothesis generation.
Normal Ranges for Metabolomics
- Access quantitative concentration ranges for over 620 metabolites to gain insights into the metabolomes of healthy subgroups
- Characterize your own control groups by comparing them against QMDB reference data and identify potential outliers
- Gain insights into metabolomic differences across ethnicities, sexes, and lifestyles
Reference Control Groups
- Incorporate reference ranges directly into data analysis and interpretation workflows
- Achieve greater analytical insight without the need to recruit or process additional control samples, saving valuable resources
- Verify that study results fall within normal ranges, providing additional confidence and statistical power to research findings
In Silico Studies
- Identify novel metabolic signatures within defined QMDB subgroups
- Formulate and test metabolic hypotheses computationally before initiating laboratory experiments
Community Data Network
- Compare your own experimental results with data generated across the broader research community
- Contribute to the continuously growing database and benefit collectively from an expanding pool of reference data
Flexible Selection and Filter Criteria
- Apply a wide range of filter options — including demographics, BMI, and lifestyle choices — to precisely match the reference group most relevant to your study population
- Confirm metabolomics hypotheses by aligning study cohorts with closely matched QMDB subgroups
Webinar Coverage and Validation
- Key features and benefits of using QMDB in experimental workflows
- Demographics of the study population included in the database
- Validation procedures used to ensure database accuracy and reliability
- Case study demonstrating practical application of QMDB in a research context
QMDB is available for purchase through the biocrates webshop and is complemented by related biocrates kit products including MxP® Quant 500, MxP® Quant 500 XL, AbsoluteIDQ® p180, and AbsoluteIDQ® p400 HR. Supporting resources such as application notes — including a dedicated note on QMDB for longevity and aging research — and brochures are available for download. biocrates life sciences is headquartered in Innsbruck, Austria, with additional operations in the United States.
