Laboratory results that make sense
We connect biomarkers, scientific evidence and expert knowledge so you can understand your body and make decisions that support your health today and in the future.
Science and dataA clear plan
Chronological age 61
How we work
Connections
We connect laboratory results into a complete picture of your metabolic health.
Trends
We track changes over time to reveal direction, improvement or an early warning.
Evidence
We rely on clinical and scientific data and assess their strength and relevance.
Analytical framework + individual review
MLL-IBA connects data and computational models. Expert interpretation identifies the important relationships and priorities.
Metabolic health map
Six areas. One metabolic picture.
Glucose metabolismGlucose, insulin, HbA1c and HOMA-IR.
Lipids and vascular riskLDL, ApoB, triglycerides and HDL.
Inflammation and immunityCRP, cytokines and immune balance.
Liver and kidneysOrgan function and metabolic relationships.
Thyroid and hormonesTSH, hormones and related markers.
Vitamins and mineralsMicronutrient status and possible deficiencies.
Methods and sources
What the analysis is based on
Depending on the available input data, we use published calculation models and indices. Each has clearly defined inputs, purpose and limitations.
PhenoAge
A published phenotypic-age model based on chronological age and nine clinical biomarkers.
Source / methodeGFR
Estimated glomerular filtration rate, used to assess the filtering function of the kidneys.
Source / methodFIB-4
A non-invasive index using age, AST, ALT and platelet count to estimate risk of advanced liver fibrosis.
Source / methodHOMA-IR
An estimate of insulin resistance calculated from fasting glucose and insulin.
Source / methodTyG
A supporting metabolic index based on fasting triglycerides and glucose, used as an indirect marker of insulin sensitivity.
Source / methodNot every model is calculated in every analysis. Use depends on the available biomarkers and whether the conditions for a meaningful calculation are met.
Personally prepared analysis
Laboratory results that make sense
MLL-IBA
An analytical framework that connects blood biomarkers in context.
First the data. Then the connections. Only then the decision.- ✓Connecting 40+ biomarkers in context
- ✓We look for patterns, not isolated numbers
- ✓Practical priorities for next steps
- ✓We track progress over time
MLL LONGEVITY PROFILE ⓘ
Longevity profile
A summary view of how the available metabolic, vascular and functional profile compares with a reference profile associated with healthy ageing.
Very favourable profile
The result summarises the broader profile beyond individual metabolic domains and helps show the overall direction at a glance.
↗ Illustrative MLL longevity profile result.
Metabolic score ⓘ
82/100
↗Illustrative metabolic score result
Good
Indicative analytical output based on available data.
Biological age ⓘ
49years
Chronological age: 55 years
↓ 6 yearslower than chronological age
Six areas of metabolic health ⓘ
Glucose and insulin
78/100
Lipids and vessels
84/100
Inflammation
91/100
Liver & kidneys
86/100
Thyroid & hormones
74/100
Vitamins & minerals
80/100
0–59 Attention60–79 Average80–100 Good
Your 3 main priorities ⓘ
1
Insulin sensitivity
HIGH PRIORITYInsulin sensitivity and glucose-metabolism relationships.
2
ApoB & atherogenic lipoproteins
HIGH PRIORITYLipid profile and factors associated with cardiovascular risk.
3
Vitamin D
MEDIUM PRIORITYVitamin D in the context of available results and other data.
↗ Detailed context is explained in the final report.
Key biomarkers ⓘView all →
| Biomarker | Your value | Reference interval | Changevs. 11/2023 |
|---|---|---|---|
| ApoB | 0,96 g/l | < 1,00 | ↓ 0,10 |
| HbA1c | 5,3 % | 4,0 – 5,6 | ↓ 0,2 % |
| Fasting insulin | 7,2 µIU/ml | 2,6 – 24,9 | ↓ 1,8 |
| hs-CRP | 0,8 mg/l | < 1,0 | ↓ 0,6 |
| Triglycerides | 1,01 mmol/l | < 1,70 | ↓ 0,25 |
| Vitamin D (25-OH) | 68 ng/ml | 30 – 100 | ↑ 8 |
| GGT | 19 U/l | 10 – 60 | ↓ 6 |
ⓘ Reference intervals may vary by laboratory.
From result to decision
First the data. Then the connections. Only then the decision.
01 Data
We start with laboratory results and information from the intake questionnaire.
02 Connections
We connect biomarkers in relation to each other, not only against reference ranges.
03 Analytical context
We look for metabolic patterns and areas that deserve attention.
04 Priorities
The result is a clear overview and priorities for further decisions.
The goal is not to create another number. The goal is to name the priorities.
Evidence before impressions
How we assess scientific evidence
Stronger evidence
Systematic reviews, meta-analyses and high-quality randomised trials with a low risk of bias.
Emerging evidence
Observational studies and early clinical findings that suggest a direction but do not by themselves establish causation.
Mechanistic findings
Research in cells, animals or laboratory models that explains a mechanism, not a clinical effect in humans.
About the project
About Metabolic Longevity Lab
Metabolic Longevity Lab is a professional educational and analytical project focused on metabolic health, laboratory markers and healthy ageing.
It builds on AkoNestarnut.sk and takes its topics into a more professional and scientific context. It helps people better understand laboratory results and view them in relation to one another – not merely as numbers labelled “within range” or “outside range”.
We do not present biomarkers in isolation. We connect the available data, follow their development and highlight areas that deserve attention.
Who is behind the project
The project was founded by Peter Gregor, a certified nutrition advisor and author of AkoNestarnut.sk.
The project’s outputs do not replace a medical examination, diagnosis or treatment. Learn more →
New explanations
Articles without shortcuts or hype
No articles have been published in this language yet.
Personal consultation
You have the results. Now let us understand them.
Together we will review your laboratory values, their connections and sensible next steps.
Book a consultation →Telephone explanation is a separate service