MOLECULAR ATLAS OF AGING: 22 META-GROUPS – A SYSTEM MAP FOR AGING MANAGEMENT

The human body is about 10¹⁴ cells, each of which contains millions of molecules. If we try to study aging at the level of each molecule individually, we will drown in infinity. Modern medicine has already faced this problem: the International Classification of Diseases (ICD-11) contains more than 100 thousand diagnoses, and their number continues to grow. Each new diagnosis is an attempt to describe another combination of molecular disorders, but this approach is doomed to an infinite multiplication of entities without systemic understanding. In previous works, we proposed a different way. Instead of studying millions of isolated molecules, we identified 20 meta-environments — distributed systems of the body (blood, endothelium, interstitium, extracellular matrix, glymphatic system, etc.) that serve as a habitat for all cells and organs. The pathology of these environments underlies up to 65% of chronic diseases. However, meta-environments do not control themselves. Their state is determined by 10 meta-regulators — integrative control circuits that set fundamental parameters: time, pressure, acidity, energy, inflammation, nervous tone, and others. Now we take the next step. In this paper, we identify the Molecular Atlas of Aging: 22 meta-groups of molecules are not millions of individual compounds, but large functional classes that are key targets of age-related changes. Instead of tracking each molecule individually, the path that modern gerontology is taking, we propose to control the relationships between these 22 groups, 20 meta-environments, and 10 meta-regulators. 22 groups of molecules + 20 meta-environments + 10 meta-regulators are easier to control than 100 thousand diseases and millions of individual molecules. This is not an oversimplification. It is a systematization that allows us to move from a chaotic list of symptoms, diagnoses, and molecular markers to a manageable set of targets. Instead of fighting each disease or each molecule individually, we restore a systemic balance in which diseases and molecular abnormalities do not occur.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-04
DOI
https://doi.org/10.5281/zenodo.22304470
Primary Topic
Chemical and Physical Studies
Type
preprint
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MOLECULAR ATLAS OF AGING: 22 META-GROUPS – A SYSTEM MAP FOR AGING MANAGEMENT

Лагода
Zenodo (CERN European Organization for Nuclear Research)
Chemical and Physical Studies
preprint

MOLECULAR ATLAS OF AGING: 22 META-GROUPS – A SYSTEM MAP FOR AGING MANAGEMENT

Лагода
preprint en

Abstract

The human body is about 10¹⁴ cells, each of which contains millions of molecules. If we try to study aging at the level of each molecule individually, we will drown in infinity. Modern medicine has already faced this problem: the International Classification of Diseases (ICD-11) contains more than 100 thousand diagnoses, and their number continues to grow. Each new diagnosis is an attempt to describe another combination of molecular disorders, but this approach is doomed to an infinite multiplication of entities without systemic understanding. In previous works, we proposed a different way. Instead of studying millions of isolated molecules, we identified 20 meta-environments — distributed systems of the body (blood, endothelium, interstitium, extracellular matrix, glymphatic system, etc.) that serve as a habitat for all cells and organs. The pathology of these environments underlies up to 65% of chronic diseases. However, meta-environments do not control themselves. Their state is determined by 10 meta-regulators — integrative control circuits that set fundamental parameters: time, pressure, acidity, energy, inflammation, nervous tone, and others. Now we take the next step. In this paper, we identify the Molecular Atlas of Aging: 22 meta-groups of molecules are not millions of individual compounds, but large functional classes that are key targets of age-related changes. Instead of tracking each molecule individually, the path that modern gerontology is taking, we propose to control the relationships between these 22 groups, 20 meta-environments, and 10 meta-regulators. 22 groups of molecules + 20 meta-environments + 10 meta-regulators are easier to control than 100 thousand diseases and millions of individual molecules. This is not an oversimplification. It is a systematization that allows us to move from a chaotic list of symptoms, diagnoses, and molecular markers to a manageable set of targets. Instead of fighting each disease or each molecule individually, we restore a systemic balance in which diseases and molecular abnormalities do not occur.

Zenodo (CERN European Organization for Nuclear Research)
Chemical and Physical Studies
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