At the beginning of the 21st century, Western scientists proposed diagnosing tumors by evaluating changes in the number of healthy and diseased cells in organs with violations in the number of specific informational RNA molecules. In clinical genetics, the race has begun. Who, based on genomic data, will achieve the most accurate count cells? Complex mathematical models have been created for the commercial diagnosis of tumors and strokes. Scientific articles have reported achieving cell count accuracy of 10%, 5%, 3%, and even 0.5-1%. Concurrently, an opinion has evolved concerning the exact correspondence of the number of informational RNA molecules to the number of cells of a certain type in any organ. Neuroscientists at 91视频 tested how plausible this correspondence is for brain cells. For calculations, Novosibirsk scientists used a basic indicator, the average number (median).
It turned out that in the cells of the cerebral cortex, the total number of informational molecules changes cyclically throughout the day and these changes can reach 10-15% of their total number. Moreover, the number of information molecules in the brain can temporarily change under the influence of severe stress, for example, after a single episode of insomnia. Based on the data obtained, Novosibirsk scientists concluded that small changes in the number of informational RNA molecules, not exceeding 20-25%, cannot be interpreted as an indicator of a change in the number of brain cells. Therefore, the diagnosis of changes in the cellular composition using genomic methods with an accuracy of 0.5% is only useful for scientific purposes and not for clinical diagnostics.
Petr Menshanov, Neurobiologist at the provided more detail,
These changes in the cells of the nervous system are not associated with a change in the number of brain cells. If that were not the case, after a couple of sleepless nights during exams, a student could be diagnosed with severe irreversible damage to the brain and psyche.
The data obtained by Novosibirsk researchers also testifies to the existence in living cells of a dynamic equilibrium of informational RNA molecules in which the synthesis of a large number of additional molecules is impossible without the destruction of previously produced ones. It is like the limit of production possibilities in an economic system, it is insurmountable without scientific progress or trade with other states.
in Journal of Molecular Neuroscience.
