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MediBalans › Diagnostics › Biological Age Panel
MediBalans · RNA Transcriptomics · Proteomics

How old are
your cells — really?

Chronological age is the number of years you've lived. Biological age is the state of your cells — determined by inflammation, mitochondrial health, epigenetic modifications and accumulated damage. These numbers are not the same. And only one of them is modifiable.

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RNATranscriptomic Analysis
Multi-System Assessment
AgingTrajectory Tracking
Action-Ready Results
What Biological Age Measures

Not a risk score.
A functional measurement.

Biological age panels represent a fundamental shift from predictive scoring models (which estimate future risk based on population statistics) to direct functional measurement — assessing what is actually happening inside cells right now.

The MediBalans Biological Age Panel combines two complementary methodologies. RNA transcriptomics analyses which genes are actively expressed — and aging produces highly characteristic, validated expression signatures across hallmark pathways. Proteomics measures the actual proteins being produced, including inflammatory cytokines, senescence markers, mitochondrial stress proteins and extracellular matrix remodelling factors.

Together these provide: a quantified biological age score, an organ-system breakdown identifying which systems are aging fastest, a senescent cell burden estimate, mitochondrial function indicators, and an epigenetic clock alignment.

Global Constraint Rule · The aging context

Biological aging is the cumulative expression of unresolved constraints — reactive foods driving chronic inflammation, intracellular nutrient deficiencies impairing DNA repair, methylation variants reducing detoxification capacity, autonomic dysregulation elevating cortisol. The Biological Age Panel identifies which systems are most affected. The GCR protocol addresses the specific constraints driving acceleration in those systems.

Test Facts — Biological Age Panel

What the assessment includes

MethodsRNA transcriptomics + protein biomarker panel
OutputBiological age score · Organ-system breakdown · Aging rate vs chronological
PathwaysInflammation · Senescence · Mitochondrial function · Epigenetic clocks · Proteostasis · DNA repair
Sample typeBlood draw — coordinated at MediBalans or local laboratory
RetestingBaseline + 12 months recommended; 6 months for active intervention tracking
InterpretationFull clinical consultation with Dr Mario Anthis — intervention protocol designed from results
What Gets Measured

Six hallmarks, quantified

Epigenetic Clocks

DNA Methylation Age

Epigenetic clock algorithms (Horvath, GrimAge, PhenoAge) calculate biological age from methylation patterns at thousands of CpG sites — validated in longitudinal studies against mortality and disease risk. The most established biological age biomarker.

Senescence

Senescent Cell Burden

Senescent cells (cells that stop dividing but resist apoptosis) drive the SASP — the senescence-associated secretory phenotype — releasing inflammatory cytokines that accelerate aging in surrounding tissue. Their burden is measurable and modifiable.

Mitochondrial Function

Energy Production Capacity

Mitochondrial stress proteins, electron transport chain component expression, and markers of mitochondrial biogenesis and fission/fusion dynamics. Mitochondrial decline is both a driver and marker of biological aging.

Inflammation

Inflammatory Burden Index

Chronic low-grade inflammation (inflammaging) is the most consistent correlate of accelerated biological aging. Panel quantifies key inflammatory cytokines, NFkB pathway activation, and immune senescence markers.

Proteostasis

Protein Quality Control

The capacity of cells to correctly fold, repair and degrade proteins. Loss of proteostasis is a hallmark of aging, Alzheimer's disease and age-related metabolic dysfunction. Panel measures chaperone protein expression and autophagy markers.

DNA Repair

Genomic Stability

Expression of DNA damage response genes, telomere maintenance factors and base excision repair enzymes. DNA repair capacity declines with biological aging — and with intracellular nutrient deficiencies, which CMA identifies in parallel.

Why it matters now

Biological age is the most actionable number in medicine.

Cardiovascular risk scores estimate probability. Cancer screening detects disease after it forms. Biological age is different — it measures the trajectory you are on right now, and that trajectory is modifiable by intervention. The same cannot be said for established disease.

Patients who reduce their biological age by 5 years through targeted intervention do not simply have better numbers — they have measurably improved cellular repair capacity, reduced inflammatory burden and enhanced mitochondrial function. These translate to concrete outcomes: energy, cognitive clarity, immune competence and resilience.

The PNAS 2025 paper by Yamagishi and Hatakeyama validated the GCR constraint-hierarchy principle independently — providing scientific grounding for the MediBalans approach of identifying and systematically removing the primary biological constraints driving accelerated aging, rather than treating each aging pathway in isolation.

For accelerated aging

Post-viral & Chronic Illness

ME/CFS, Long COVID and autoimmune conditions are associated with measurably accelerated biological aging. The panel provides an objective baseline and identifies which systems are most affected.

For proactive optimisation

Longevity Protocol Baseline

Every longevity intervention should be tracked against an objective measure. Biological age provides that measure — enabling evidence-based adjustment of the protocol over time.

Intervention response

Tracking Treatment Efficacy

Retesting at 6–12 months provides objective confirmation that interventions (dietary changes, supplementation, lifestyle) are producing measurable biological benefit — not just symptomatic improvement.

Questions

Biological Age Panel explained

The Biological Age Panel is MediBalans' comprehensive longevity assessment combining RNA transcriptomic analysis and protein biomarker panels to determine functional cellular age — independent of chronological age. It measures epigenetic clock markers, telomere dynamics, mitochondrial function indicators, inflammatory burden (senescent cell markers), and proteomics-based biological age algorithms. Results express your biological age as a measurable number and identify the specific systems contributing most to accelerated aging.

Chronological age is time elapsed since birth. Biological age reflects the actual functional state of your cells, tissues and organs — determined by accumulated damage, epigenetic modifications, mitochondrial health and inflammatory burden. Two people aged 50 can have biological ages of 38 and 64 respectively. The difference is driven by genetics, lifestyle, nutritional status, toxic burden, immune function and the management of chronic conditions. Biological age is modifiable in ways that chronological age is not.

RNA (transcriptomic) analysis measures gene expression patterns — which genes are being actively transcribed and at what levels. Aging produces characteristic shifts in expression profiles across hallmark pathways: inflammatory signalling, DNA repair, mitochondrial biogenesis, proteostasis and senescence. These patterns have been validated in large cohort studies as reliable predictors of biological age and mortality risk. MediBalans uses validated algorithms to translate gene expression data into a biological age estimate and organ-system breakdown.

Biological age responds to interventions targeting its primary drivers. The most evidence-supported approaches include: resolving chronic inflammation (often driven by reactive foods — identified via ALCAT), correcting intracellular nutrient deficiencies (CMA), optimising methylation status (MethylDetox), improving mitochondrial function through targeted supplementation and lifestyle, reducing toxic burden, improving sleep architecture and HRV-guided autonomic regulation. MediBalans designs an intervention protocol based on the specific biological systems showing accelerated aging in your results.

The Biological Age Panel is relevant for anyone seeking an objective baseline of their aging trajectory — including patients with chronic conditions accelerating biological aging, individuals optimising longevity proactively, post-viral patients (Long COVID, ME/CFS) where accelerated aging has been documented, and anyone who wants to track the objective impact of their health interventions over time. It is also the most data-rich single test for identifying the highest-priority intervention targets in a longevity protocol.

MediBalans recommends a baseline measurement followed by retesting at 12 months to assess trajectory and intervention response. For patients actively following a longevity protocol with significant interventions, a 6-month retest interval allows more responsive protocol adjustment. The goal is not to chase a number — it is to establish trajectory: is biological aging decelerating relative to chronological time? That question requires at least two data points.

Next Step

Know your biological age.
Then change it.

The Biological Age Panel provides your baseline. Dr Mario Anthis designs an intervention protocol targeting the specific systems driving acceleration in your results.

Book Consultation Also: ALCAT — Inflammation Driver →
Related Diagnostics

Complete longevity protocol

Immune Burden · Cell Science Systems

ALCAT — Food Intolerance

Reactive food-driven inflammation is the most common modifiable driver of accelerated biological aging. ALCAT identifies the specific triggers.
Intracellular · Cell Science Systems

CMA — Cellular Micronutrient Analysis

Intracellular nutrient deficiencies impair DNA repair, mitochondrial function and antioxidant defence — directly accelerating biological aging.
Genetics · Proprietary

MethylDetox — 38 Genes

Methylation governs epigenetic clock ticking. MTHFR and COMT variants shape the speed of biological aging — especially in detoxification and neurological domains.
Scientific References

Published evidence behind biological age measurement

Transcriptomic and epigenetic aging clocks represent one of the fastest-growing areas of aging research, with validation studies now achieving R² values above 0.90 in predicting chronological age and mortality risk from gene expression data.

[1]
Meyer DH, Schumacher B. BiT Age Clock — binarised transcriptomic aging clock achieving near-theoretical-limit accuracy. Demonstrated that gene expression data can predict biological age and identified innate immunity and neuronal signalling genes as key aging regulators. Aging Cell. 2021;20(3):e13320 ↗
[2]
Jung T et al. MultiTIMER — functionally interpretable multi-tissue RNA clock trained on 3,000+ transcriptomic samples. Identifies 818 genes across 25 cellular processes predictive of age, enabling assessment of process-specific aging rates. Aging Cell. 2023;22(5):e13799 ↗
[3]
Knowledge-Primed Neural Network Clock. Transcriptomic age clock using pathway-structured artificial neural networks on skin RNA-seq from 887 subjects. Achieved median absolute error of 4.7 years. Demonstrated aging states of individual biological pathways. npj Aging. 2021 ↗
[4]
Multi-tissue Transcriptomic Aging Model. Comprehensive model building across 6,471 RNA-Seq samples. Demonstrated that transcriptomic clocks can distinguish healthy from diseased aging and that RNA aging clocks achieve R² values up to 0.93. PMC7811842. Aging Cell and related journals. 2021.
[5]
Single-Cell scRNA-seq Aging Clock. Blood single-cell RNA sequencing aging clock placing supercentenarians at biological ages 80–103. Identified ribosome-to-inflammation balance as a hallmark of slow aging. Science Advances ↗
[6]
Yamagishi M, Hatakeyama S. Independent validation of constraint hierarchy in biological systems — the theoretical grounding for the GCR principle that MediBalans applies clinically. PNAS. 2025.
[7]
Horvath S. DNA methylation age of human tissues and cell types. Foundational epigenetic clock study establishing that biological age can be measured from methylation data across tissues — the most cited aging biomarker paper. Genome Biology. 2013;14:R115 ↗
Evidence context: The published literature validates transcriptomic aging clocks as a scientifically robust methodology. MediBalans integrates this with proteomic profiling for convergent biological age measurement. The specific combination of transcriptomic clock + proteomics represents a proprietary approach — the individual methodologies are independently validated; the integrated protocol is a MediBalans innovation.
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