A clear glass protein ribbon sculpture on an acrylic block, beside a row of thin glass peaks like a mass spectrum.

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Advanced Proteomics

A molecular view of your protein profile.

Non-invasive cheek swab, collected at home or in a clinic.

  • Buccal swabNon-invasive collection
  • 7,496Protein groups in the curated library
  • 508 proteinsUsed in the ProteoAge model

Overview

What the report includes

A non-invasive proteomic test that analyses proteins from a cheek swab and translates them into ageing-related estimates, functional pathway scores and personalised lifestyle insights.

Proteins carry out almost every process in the body, and their expression shifts with age, diet, training and stress. Protein profiles complement genetics, epigenetics, metabolomics and routine clinical biomarkers. Each biological layer provides different information.

  • 01
    • ProteoAge
    • Index of Aging
    • Model-derived scores mapped to the Hallmarks of Aging framework
  • 02
    • Cellular energy
    • Metabolic regulation
    • Inflammatory response
    • Nutrient handling
    • Connective tissue
    • Oral health
  • 03
    • Nutrition profile
    • Sport profile
    • Personalised food, activity and supplement suggestions for professional review

What is measured

Inside your proteomic report

The report brings ageing, nutrition, sport and functional protein insights together in a visual dashboard, with detailed explanations and personalised recommendations.

  • ProteoAge and the Index of Aging.
  • A profile of nutrient-related protein pathways.
  • Activity and recovery-related insights.
  • Model-derived ageing pathway contributions.
  • Functional protein profiles and status categories.
  • Personalised food, activity and supplement suggestions, for professional review.

Inside the report

What the report shows

Five connected views

Ageing
22ProteoAge, years
0.8Index of Aging
Nutrition66Good
Sport58Good
Hallmarks−7.4Net ageing contribution, years · Excellent
Biomarkers
  • Excellent 15
  • Good 1
  • Optimisable 5
Illustrative dashboard. The values are example data from a sample report, not expected results for an individual.

ProteoAge and the Index of Aging

Calendar age 2822ProteoAge, years1838

−6.2years, model-derived difference from calendar age

0 · slower ageingfaster ageing · 2

Index of Aging 0.8 · Excellent

ProteoAge is trained on chronological age using 508 proteins. The report compares its estimate with calendar age and shows the model-derived difference. Example values.

Hallmarks of Aging: top 3 and bottom 3

Inflammation: −1.94 yearsInflammation−1.94Intercellular communication: −1.40 yearsIntercellular communication−1.40Nutrient sensing: −1.36 yearsNutrient sensing−1.36Microbiome: +0.16 yearsMicrobiome+0.16Macroautophagy: +0.38 yearsMacroautophagy+0.38Telomere length: +0.54 yearsTelomere length+0.54← protective (slows ageing)accelerating →
The Index of Aging and the Hallmarks of Aging give complementary views. Contributions labelled in years are model outputs and should not be read as years of life gained or lost. Example values.

Functional protein profiles

  • Nutrient profiles
    Vitamin A turnoverThe cycle of vitamin A
    Excellent
  • Vitamin E turnoverVitamin E usage in the body
    Excellent
  • Vitamin D turnoverUtilisation for bone, immune function and metabolism
    Excellent
  • Zinc turnoverZinc handling for immune function and healing
    Optimisable
  • Structural & organ health
    Renal efficiencyRemoving waste products
    Excellent
  • Connective tissue healthTissue resilience
    Excellent
  • Inflammatory response
    Inflammatory response (CRP-related)Acute inflammatory activity
    Excellent
Vitamin A, E and D turnover and zinc-related profiles are protein-based interpretations, not measurements of serum vitamin or zinc concentrations. Renal efficiency, connective tissue and CRP-related profiles do not replace renal function tests, clinical assessment or serum CRP testing. Example values.

What you get

From protein data to a plan you can act on

    • ProteoAge, a model-derived protein age compared with your calendar age
    • Your Index of Aging and Hallmarks of Aging profile
    • Nutrition and sport profiles
    • Functional protein profiles with clear status categories
    • Food, activity and supplement suggestions to review with a professional
    • A functional layer next to genetics, epigenetics, metabolomics and routine biomarkers
    • Hallmark-level contributions to help prioritise follow-up
    • A proteomic baseline for exploring change over time
    • Non-invasive collection, at home or in clinic
    • Reported test-retest repeatability for relative biological age

How it works

From sample to insight

  1. 01A cheek swab, taken at home or in a clinic.
  2. 02The sample is returned according to the kit instructions.
  3. 03High-resolution mass spectrometry and bioinformatic analysis of the protein profile.
  4. 04A personalised proteomic report with explanations and recommendations.

Method and evidence

Method and evidence

  • High-resolution Orbitrap mass spectrometry with data-independent acquisition (DIA), followed by bioinformatic analysis. The platform can identify up to 9,000 proteins; the routine workflow uses a curated spectral library of 7,496 protein groups. Coverage is not a guarantee that every protein is quantified in every sample.
  • ProteoAge is trained to estimate chronological age from the abundance patterns of 508 proteins in buccal-swab samples. The difference from chronological age is reported as relative age acceleration or deceleration. It is a model-derived estimate, not a direct measurement of whole-body ageing or mortality risk.
  • In 20 stable controls sampled about one month apart, relative biological age had a test-retest ICC of 0.905 (95% CI 0.776–0.961). A baseline study of more than 500 participants reported a sample correlation of 0.84. This supports repeatability within the studied setting; it does not establish clinical outcome prediction or a threshold for meaningful individual change.
  • Reference samples run across plates and batches. On raw, non-normalised data the median protein-level CV is 30.4%, and housekeeping proteins range from 21.4% to 29.2%. Normalisation and batch correction then reduce technical variation. Reprocessing the same raw data gives 99% overlap in the selected fragments.

Repeatability of relative biological age

2020303040405050same result both timesFirst 37.9 · second 45.6 yearsFirst 47.8 · second 45.7 yearsFirst 45.9 · second 45 yearsFirst 51.8 · second 42.3 yearsFirst 41 · second 37.5 yearsFirst 39.4 · second 36.7 yearsFirst 38.4 · second 36.6 yearsFirst 35.2 · second 35.5 yearsFirst 36.4 · second 31.9 yearsFirst 33.2 · second 30.7 yearsFirst 24.5 · second 29.5 yearsFirst 22.6 · second 24.5 yearsFirst 30.8 · second 24.6 yearsFirst 23.3 · second 24.1 yearsFirst 19.9 · second 23.5 yearsFirst 19.2 · second 22.3 yearsFirst 21.8 · second 22.3 yearsFirst 22.1 · second 18.6 yearsFirst 29.9 · second 32 yearsFirst 29.6 · second 31.3 yearsICC 0.90595% CI 0.776–0.961 · n = 20Relative biological age, first sample (years)Second sample, about one month later
Twenty stable controls, sampled about one month apart. Points redrawn from the technical data. Repeatability supports consistency within this study; it does not establish disease prediction, intervention efficacy or an individual threshold for meaningful change.

Collection and analytical controls

  • 0.84Correlation between two baseline samples, more than 500 participants
  • 30.4%Median protein-level CV across reference samples, raw and uncorrected
  • 21–29%CV of housekeeping proteins across reference samples, raw
  • 99%Overlap in selected fragments when the same raw data is processed twice
From the technical data. These analytical measures do not establish clinical efficacy or an individual threshold for meaningful change.

Clinical value

Use in a multi-omics programme

Establish a proteomic baseline and explore changes over time alongside clinical history, routine laboratory testing and other omics results.

  1. 01Establish the proteomic profile before anything changes.
  2. 02Read it with clinical history, routine testing and other omics.
  3. 03Interpret change against sampling conditions, analytical variation and biological variability.

Measure → Intervene → Re-measure → Verify

White-label opportunity

Your programme. Your brand. Our infrastructure.

Advanced Proteomics can be integrated into healthcare, longevity and preventive-health programmes as a branded or co-branded testing pathway, without building the laboratory infrastructure behind it.

  • Branded test kits and packaging
  • Integration into existing clinic or longevity programmes
  • Remote sample collection
  • Laboratory analysis
  • A patient-facing experience in your name
  • Results delivered into your preferred reporting environment
  • Repeat testing and longitudinal programmes
  • Sample collection at home, outside the clinic.
  • A protein-based ageing and lifestyle layer, without a blood draw.
  • Repeat testing to follow change over time.

Limitations

A model-derived view, not a diagnosis

Buccal samples reflect oral epithelial biology and may also contain broader biological signals. Hallmark and functional scores are inferred from protein patterns: they are not direct measurements of telomere length, DNA methylation, microbiome composition, blood vitamin levels or standard serum lipid and inflammatory markers. Contributions shown in years are model outputs, not years of life gained or lost, and a lower age estimate alone does not demonstrate reversal of ageing or improved health outcomes.

For informational and wellness use. The report does not independently diagnose disease or nutrient deficiency and does not replace clinical assessment. Recommendations require review for individual suitability. Availability and regulatory status vary by market.

Download fact sheet (PDF)Back to the diagnostic menu

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