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Advanced Biological Age & Epigenetics

Biological ageing insights for healthcare professionals.

Blood sample: at-home collection kit or in-clinic blood draw using a standard lavender EDTA tube.

Ask about this testDownload fact sheet (PDF)
  • 460Biologically selected CpG sites
  • 21 systemsOrgan and physiological systems
  • Action planPersonalised, with a clinician dashboard

Overview

Ageing is not one number

A blood-based epigenetic test that quantifies age-associated dysregulation in DNA methylation patterns. Rather than treating ageing as a uniform linear process, it evaluates biological variability across selected CpG sites and resolves the signal into organ- and system-specific ageing profiles.

DNA methylation is an epigenetic mechanism involved in regulating gene activity. Unlike the underlying DNA sequence, methylation patterns can change over time and are influenced by ageing, lifestyle and environmental factors. Research led by Prof. Irina Conboy and colleagues shows that ageing is associated not only with changes in methylation levels, but also with increasing variability, or epigenetic noise, reflecting declining regulatory control.

  • 01

    Biological noise

    • Measures variability in DNA methylation patterns
    • Associated with age-related loss of epigenetic regulatory control
  • 02

    System-level insight

    • Groups 460 CpG sites into functional systems
    • Shows where age-associated dysregulation is greatest
  • 03

    Non-linear ageing

    • Places each system within an age-related trajectory
    • Gives context on how dysregulation changes with ageing

What is measured

What the patient report includes

The report translates epigenetic ageing signals into a system-level profile, so patients and healthcare professionals can see relative differences across biological systems and follow changes across repeat assessments.

  • Whole-body view

    Biological age and rate of ageing for the whole body.

  • 21 body systems

    Biological age and ageing rate for each of 21 organ and physiological systems.

  • Trajectories

    System-specific ageing trajectories and noise curves.

  • Highest signals

    The systems showing the highest relative ageing signals.

  • Change over time

    Longitudinal comparison to monitor biological change.

  • Action plan

    A preliminary personalised action plan for clinician review.

Inside the report

What the report shows

Biological noise

20406080← narrow spread: tight regulationwider spread: epigenetic noise →Age, yearsMethylation level
In a well-regulated system, methylation at key regulatory sites stays within a tight band. With age, values scatter in both directions. The test sums this variability across the selected CpG sites. Schematic.

What is measured: methylation at CpG sites

CH₃NH₂NO5-methylcytosineATCGACGTTCAGA CpG site on the DNA strandC followed by G; the methyl group sits on the C
A methyl group attached to cytosine where it is followed by guanine. The sites are selected for how their variability changes with age, not for a shift in average level.

Non-linear ageing

Example: age 4820406080plateauacceleratinglinear assumptionAge, yearsEpigenetic noise
Ageing can progress in waves, with plateaus and periods of acceleration, rather than as a straight line. Each system is placed on such a trajectory. Schematic; not a clinical threshold.

What your patients see

Top ageing factors
Respiratory system43system age0.9×ageing speed
Digestive system37system age0.8×ageing speed
Skeletal system38system age1.1×ageing speed

Calendar age 27 in this example.

Your top 5 ageing risks
  1. Cardiac system
  2. Muscular system
  3. Mitochondria health
  4. Nervous system
  5. Male reproductive system
Preliminary action plan
1Lifestyle and recovery
2Follow-up testing
3For clinician review

Recommendations are reviewed and adjusted by the clinician.

Illustrative patient report with example data. Clinical question: which biological systems show relatively higher or lower ageing-associated signals, and how does the profile change across repeat measurements?

21 organ and physiological systems

A translucent glass sculpture of a human figure with softly glowing organs.
Brain & nervous
  • Brain health & cognition
  • Nervous system
  • Auditory system
Heart, vessels & lungs
  • Cardiac system
  • Blood & vascular system
  • Respiratory system
Metabolic
  • Digestive system
  • Hepatic system (liver)
  • Blood sugar & insulin control
  • Urinary system
  • Metabolism
Reproductive
  • Male / female reproductive system
Structural
  • Skin health
  • Muscular system
  • Skeletal system
Cellular & immune
  • Immune system
  • Mitochondria health
  • Inflammatory regulation
  • Tissue regeneration
  • Fibrosis / scar tissue formation
  • Oncogenesis / cell mutation
Grouped here for reading. The reproductive system is reported for the person’s sex.

Markers behind each system

Oncogenesis / cell mutationOncogenesis / cell mutation: 226 markers226Brain health & cognitionBrain health & cognition: 189 markers189Nervous systemNervous system: 182 markers182Auditory systemAuditory system: 174 markers174MetabolismMetabolism: 170 markers170Blood sugar & insulin controlBlood sugar & insulin control: 157 markers157Fibrosis / scar tissueFibrosis / scar tissue: 156 markers156Digestive systemDigestive system: 155 markers155Skeletal systemSkeletal system: 142 markers142Blood & vascular systemBlood & vascular system: 141 markers141Tissue regenerationTissue regeneration: 133 markers133Hepatic system (liver)Hepatic system (liver): 131 markers131Urinary systemUrinary system: 108 markers108Inflammatory regulationInflammatory regulation: 106 markers106Immune systemImmune system: 102 markers102Female reproductiveFemale reproductive: 47 markers47Mitochondria healthMitochondria health: 47 markers47Male reproductiveMale reproductive: 35 markers35Muscular systemMuscular system: 33 markers33Skin healthSkin health: 33 markers33Respiratory systemRespiratory system: 29 markers29Cardiac systemCardiac system: 21 markers21CpG markers per system · the reproductive panel follows the person's sex
Number of CpG markers informing each system, as published by the laboratory. Sites are shared between systems, so the counts add up to more than 460.

What you get

Clinician-led, patient-friendly

  • For the patient

    • Whole-body biological age and rate of ageing
    • Biological age and ageing rate across 21 body systems
    • The systems with the highest relative ageing signals
    • A preliminary personalised action plan
    • Comparison across repeat assessments

  • For the clinician

    • Manage: register patients, kits and testing histories
    • Track: follow samples from registration to report readiness
    • Review: access results and repeat assessments
    • Personalise: review and customise system-specific action plans

How it works

The clinical workflow

  1. 01

    Order

    The clinician orders the test and registers the patient in the clinical dashboard.
  2. 02

    Collect

    At-home collection kit or in-clinic blood draw using a standard lavender EDTA tube.
  3. 03

    Review

    The clinician follows the sample and opens the patient report when it is ready.
  4. 04

    Personalise

    The clinician reviews and customises the action plan in the patient’s broader clinical context.

The clinical flow

Clinician
  1. 1Order the test and register the patient in the dashboard
  2. 2Monitor sample status
  3. 3View the patient report
  4. 4Review and personalise the action plan
Patient
  1. 1Receives the collection kit at home
  2. 2Kit registered: first update
  3. 3Sample received and processing
  4. 4Sample processed
  5. 5Report ready
  6. 6Views the report
The clinician orders and follows the test in the dashboard; the patient receives updates from kit to report.

The clinician dashboard

PatientsKitsSamplesReportsAction plansSample statusPatient ARegisteredPatient BIn laboratoryPatient CReport readyPatient DReport readyPatient EKit dispatchedManage · Track · Review · Personalise
Manage patients, kits and testing histories; track samples from registration to report; review results and repeat assessments; personalise system-specific action plans. Schematic.

Monitoring biological change over time

Baseline−10+10 yFollow-up−10+10 yInflammatory regulationInflammatory regulation: +9.5 yearsInflammatory regulation: −3.2 yearsBrain health & cognitionBrain health & cognition: +9 yearsBrain health & cognition: −3 yearsUrinaryUrinary: +2.6 yearsUrinary: −3.4 yearsNervous systemNervous system: +2.5 yearsNervous system: −2.9 yearsDigestiveDigestive: +2 yearsDigestive: −3.3 yearsImmuneImmune: +1.8 yearsImmune: −3.1 yearsBlood & vascularBlood & vascular: +1.5 yearsBlood & vascular: −3 yearsReproductiveReproductive: +1 yearsReproductive: −3.2 yearsSkeletalSkeletal: +0.6 yearsSkeletal: −3.3 yearsMetabolismMetabolism: +0.3 yearsMetabolism: −3 yearsOncogenesisOncogenesis: −0.6 yearsOncogenesis: −3.1 yearsTissue regenerationTissue regeneration: −1.4 yearsTissue regeneration: −3.2 yearsBlood sugar & insulinBlood sugar & insulin: −1.9 yearsBlood sugar & insulin: −3.4 yearsFibrosisFibrosis: −2.1 yearsFibrosis: −3 yearsHepaticHepatic: −2.4 yearsHepatic: −3.3 yearsRespiratoryRespiratory: −2.5 yearsRespiratory: −3.5 yearsAuditoryAuditory: −2.6 yearsAuditory: −3.4 yearsMitochondriaMitochondria: −2.8 yearsMitochondria: −3.1 yearsSkinSkin: −3 yearsSkin: −3.2 yearsCardiacCardiac: −3.2 yearsCardiac: +6.1 yearsMuscularMuscular: −5.2 yearsMuscular: −3.3 years
  • Younger than calendar age
  • Older than calendar age
Example data: system age minus calendar age at baseline and follow-up. Repeat testing enables longitudinal comparison and may help characterise biological change. Observed changes should not be interpreted independently as evidence of treatment efficacy.

The sample

Two ways to take the sample

  • A hand pressing a small white blood collection device with an orange button against the upper arm.

    At-home collection kit

    The blood sample is collected at home with the at-home collection kit.
  • A blood collection tube with a lavender cap and a white label.

    In-clinic blood draw

    The blood sample is drawn in the clinic using a standard lavender EDTA tube.

Case studies

Case studies from clinical practice

Three clinic cases in which patients were measured with the biological age & epigenetic test before and after an intervention.

Case study on stem cell infusion

Decrease of 5.5 years in biological age tracked across two independent longevity clinics.

Two longevity clinics based in Germany and Mexico reported that the biological age & epigenetic test indicated a decrease of 5.5 years in biological age after stem cell infusion.

  • Before
  • After
  • Calendar age 53
  • Overall biological age51.445.9−5.5 y
  • Blood & vascular system60.246.2−14.0 y
  • Tissue regeneration56.947.3−9.6 y
  • Urinary system56.647.8−8.8 y
Biological age in years at each test, redrawn from the clinic's report.

Case study on therapeutic plasma exchange (TPE)

Consistent reduction in measured biological age across two TPE treatments.

From the first to the third test, measured biological age was 10.4 years lower in the immune system, 4.5 years lower in the digestive system and 6.7 years lower in the cardiac system.

  • Test 1
  • Test 2
  • Test 3
  • Calendar age 62
  • Overall biological age60.460.257.8−2.6 y
  • Immune system71.360.960.9−10.4 y
  • Digestive system60.857.256.3−4.5 y
  • Cardiac system63.960.357.2−6.7 y
Biological age in years at each test, redrawn from the clinic's report.

Case study on stem cell infusion: three systems

Before and after a stem cell infusion, measured with the biological age & epigenetic test.

At the second test, measured biological age was 13.6 years lower in the brain system, 4.9 years lower in the reproductive system and 7.5 years lower in the urinary system.

  • Test 1
  • Test 2
  • Brain system (nerve cells & cognition)52.338.7−13.6 y
  • Reproductive system44.039.1−4.9 y
  • Urinary system46.038.5−7.5 y
Biological age in years at each test, redrawn from the clinic's report.

Individual cases reported by clinics, without a control group. They show the measured difference between tests, not that the intervention caused it, and they are not expected results for other patients.

Method and evidence

Laboratory analysis & quality framework

  • Analytical method

    Samples are analysed on a custom DNA methylation microarray within an accredited international laboratory network. The applicable laboratory site, analytical scope and accreditation depend on the market and testing workflow.

  • Quality & ISO certifications

    ISO/IEC 17025 accredited analytical and molecular testing methods; ISO 13485 quality-system requirements relevant to medical-device frameworks; selected clinical laboratories ISO 15189 and/or CAP accredited; GLP, GCP and GMP frameworks depending on service, site and scope. Accreditations apply to specific entities, sites and scopes, not necessarily to every analytical step.

  • Technical repeatability

    One sample analysed three times across the selected CpG sites agreed 99.4–99.5% between runs, as reported by the laboratory. This shows technical repeatability, not clinical validity.

  • Research basis

    The noise approach builds on peer-reviewed work on the limits of conventional methylation clocks and on the stochastic component of epigenetic ageing.
  1. Mei X, Blanchard J, Luellen C, Conboy MJ, Conboy IM. Fail-tests of DNA methylation clocks, and development of a noise barometer for measuring epigenetic pressure of aging and disease. Aging (Albany NY). 2023;15(17):8552–8575. doi: 10.18632/aging.205046 | PubMed PMID: 37702598
  2. Tong H, Dwaraka VB, Chen Q, Luo Q, Lasky-Su JA, Smith R, et al. Quantifying the stochastic component of epigenetic aging. Nat Aging. 2024;4:886–901. doi: 10.1038/s43587-024-00600-8
  3. Skinner CM, Conboy MJ, Conboy IM. DNA methylation clocks struggle to distinguish inflammaging from healthy aging, but feature rectification improves coherence and enhances detection of inflammaging. GeroScience. 2025;47(3):3043–3060. doi: 10.1007/s11357-024-01460-1 | PubMed PMID: 39825170
  4. Ma S, Wang S, Ye Y, Ren J, Chen R, Li W, et al. Heterochronic parabiosis induces stem cell revitalization and systemic rejuvenation across aged tissues. Cell Stem Cell. 2022;29(6):990–1005.e10. doi: 10.1016/j.stem.2022.04.017 | PubMed PMID: 35613617

Further reading

From our evidence notes

Clinical value

Monitoring biological change over time

Repeat testing enables longitudinal comparison of epigenetic ageing profiles and may help characterise biological change over time.

  1. 01

    Baseline

    See which systems show the highest relative ageing signals.
  2. 02

    Intervene

    Use the clinician-reviewed action plan alongside other clinical information.
  3. 03

    Re-measure

    Compare system-level profiles across repeat assessments.

Measure → Intervene → Re-measure → Verify

Availability

International & EU availability

Advanced Biological Age & Epigenetics is the international version of the test. For the EU, talk to our team.

  • International markets

    Advanced Biological Age & Epigenetics

    • The international version of the test
    • 21 organ and physiological systems
    • System-level epigenetic ageing profiles
    • Biological noise and longitudinal comparison
    • At-home collection kit or in-clinic blood draw using a standard lavender EDTA tube
  • European Union

    EU version

    • Talk to our team about availability in your market.

    Talk to our team

White-label opportunity

Your programme. Your brand. Our infrastructure.

The biological age test 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

  • Remote access

    Sample collection at home, outside the clinic.

  • System-level depth

    Organ- and system-specific ageing profiles with a clinician dashboard.

  • Longitudinal use

    Repeat testing to follow change over time.

Limitations

Clinical note

Results provide information about biological ageing-associated epigenetic patterns and should be interpreted within the broader clinical context. Biological age, ageing-rate and system-level outputs are not diagnoses and should not be used independently to diagnose, prevent or treat disease, or to determine treatment efficacy.

Results should be considered alongside relevant clinical assessments, established biomarkers and professional judgement. Product configuration, intended use, laboratory workflow and regulatory status may vary by market.

Download fact sheet (PDF)Back to the diagnostic menu

Contact

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