Jeden výsledok nehovorí celý príbeh
Prečo nestačí sledovať len cholesterol „Cholesterol mám v norme.“ Je to jedna z najčastejších viet pri hodnotení laboratórnych…
Read article →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.
We connect laboratory results into a complete picture of your metabolic health.
We track changes over time to reveal direction, improvement or an early warning.
We rely on clinical and scientific data and assess their strength and relevance.
MLL-IBA connects data and computational models. Expert interpretation identifies the important relationships and priorities.
Depending on the available input data, we use published calculation models and indices. Each has clearly defined inputs, purpose and limitations.
A published phenotypic-age model based on chronological age and nine clinical biomarkers.
Source / methodEstimated glomerular filtration rate, used to assess the filtering function of the kidneys.
Source / methodA non-invasive index using age, AST, ALT and platelet count to estimate risk of advanced liver fibrosis.
Source / methodAn estimate of insulin resistance calculated from fasting glucose and insulin.
Source / methodA 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.
An analytical framework that connects blood biomarkers in context.
First the data. Then the connections. Only then the decision.A summary view of how the available metabolic, vascular and functional profile compares with a reference profile associated with healthy ageing.
The result summarises the broader profile beyond individual metabolic domains and helps show the overall direction at a glance.
↗ Illustrative MLL longevity profile result.↗Illustrative metabolic score result
Indicative analytical output based on available data.
Chronological age: 55 years
Insulin sensitivity and glucose-metabolism relationships.
Lipid profile and factors associated with cardiovascular risk.
Vitamin D in the context of available results and other data.
↗ Detailed context is explained in the final report.
| 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.
We start with laboratory results and information from the intake questionnaire.
We connect biomarkers in relation to each other, not only against reference ranges.
We look for metabolic patterns and areas that deserve attention.
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.
Systematic reviews, meta-analyses and high-quality randomised trials with a low risk of bias.
Observational studies and early clinical findings that suggest a direction but do not by themselves establish causation.
Research in cells, animals or laboratory models that explains a mechanism, not a clinical effect in humans.
What researchers found, who was studied and how much weight the results carry.
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.
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 →
Prečo nestačí sledovať len cholesterol „Cholesterol mám v norme.“ Je to jedna z najčastejších viet pri hodnotení laboratórnych…
Read article →Laboratórny výsledok nie je len číslo vedľa referenčného intervalu Pri pohľade na laboratórny rozbor prirodzene hľadáme dve veci.…
Read article →Dôkazy pred dojmami Každý týždeň vychádzajú štúdie, podľa ktorých určitá potravina, molekula, liek alebo výživový doplnok zlepšuje zdravie,…
Read article →Together we will review your laboratory values, their connections and sensible next steps.