Summary: Researchers created a mathematical “aging time” that tracks the natural age of brain cells and locates compounds with potential for rejuvenation. They identified 453 interventions that were thought to reverse biological aging by analyzing gene activity from good and neurological brain tissue.
In older animals, preliminary animal tests revealed improvements in conduct, cognition, and chemical markers. This development opens the door to treatments that may prevent aging and promote mental wellness in aging populations.
Important Information
- Aging Clock: A machine learning tool that uses gene data to predict genetic brain cell era.
- Regeneration Strikes: Found 453 substances that stop cell death in older people.
- Proof of Concept: Mice treated with the materials that were intended displayed stronger storage and younger protein information.
Origin: CIC bioGUNE
What if there was a method to regenerate old head cells?
This problem was just recently addressed by a global study group from Spain and Luxembourg. They used an aging calendar to determine the biological age of the mind to make possible brain-rejuvenating treatments.
The mathematical tool they developed, which was just published in the journal , Advanced Science, and  , is a useful resource for discovering compounds with potential for neurodegenerative diseases.
Age-related mental disorders are on the rise because the universe population is aging quickly and there are more than two billion people projected to be over 60 by 2050. Living long while in poor health is a challenging prospect, as well as putting a lot of strain on healthcare systems around the world.
The idea of preventing the brain’s useful decline through rejuvenating treatments seems so intriguing. How can we discover compounds that have the ability to regenerate brain cells quickly and protect the aging people from degeneration?  ,
To address the issue, Prof. Antonio Del Sol and his groups of mathematical biologists from the University of Luxembourg, both at , CIC bioGUNE, and members of BRTA, used their device learning experience.
creating a calendar to analyze the brain’s natural age
An “aging clock,” a mathematical instrument created by the researchers, was created to compare the natural age of cells to their chronological age.
In fact, people of the same age may have various natural ages as their organs and tissues change over time depending on environmental and genetic factors.
Hence, these timers can be useful as molecular diagnostic tools and aid in the study of aging’s causes and effects.
The brain-specific time created by CIC bioGUNE and LCSB experts uses gene expression data from 365 chromosomes to generate estimates. It was trained on information from good people, aged 20 to 97, using a machine learning approach, to properly identify their age.
Additional research demonstrated that the time can determine the biological age of various mental body types, particularly cells. Finally, the researchers found that patients had higher natural ages when they looked at the predicted natural ages for healthy people and those with neurological conditions.
Our findings reveal that the biological age of the brain cells, as predicted by our time, is correlated with the patient’s decrease in brain function, especially between the ages of 60 and 70, and also correlates with neurodegeneration, according to Dr. Guillem Santamaria, the study’s initial author.
It supports the notion of aging as a process of accelerated maturity, but more importantly, the positive correlation between aging and biological time suggests that the soothing interventions identified by the clock may serve as neurotoxic agents.
identifying ingredients with the ability to rejuvenate
The researchers wanted to use the time to discover genetic or biochemical changes that would significantly alter the genetic time of brain cells. They found 453 special rejuvenating interventions while looking at the effects of thousands of different compounds on neurological progenitor cells and neurons.
Among the compounds identified that have the ability to slow the biological age of the two types of brain cells, many have been shown to prolong duration in animal models and some have been used to treat neurological disorders, but the majority have not yet been studied in the framework of wellness- or lifespan extension.
” On the one hand, the fact that our computing system identified medicines that have a known effect on brain perform supports the idea that using the predicted result of a mixture on the biological age is an effective way to evaluate its neurotoxic potential,” says Prof. Antonio Del Sol,  , Ikerbasque , scientist and head of the , Computation Biology , parties at CIC bioGUNE and LCSB.
The results, on the other hand, also demonstrate how our clock can help us discover numerous fresh candidates whose rejuvenating qualities have not previously been studied. It opens up a lot of fresh avenues.”
First animal model validation and expanding the therapeutic horizon
The researchers collaborated with Prof. Rubén Nogueiras ‘ team at the , Centre for Research in Molecular Medicine and Chronic Diseases, to test three of the predicted compounds in mice as a proof of concept for their approach.
In older mice, the administration of these drugs significantly reduced anxiety and slightly increased spatial memory, which are two well-known symptomatic facets of aging. A gene expression analysis revealed that the combination of these substances also caused a shift toward a younger phenotype.
Overall, these findings demonstrate that a number of compounds that were supposed to revitalize the brain actually did revitalize the cortex of old mice, having an impact on both behavioural and cognitive functions.
The study, which was just published in the journal , Advanced Science, highlights the researchers ‘ development of a powerful computational aging clock as a valuable tool for identifying brain-rejuvenating treatments with therapeutic potential in neurodegenerative diseases globally. It provides a solid foundation for future research.
The hundreds of compounds that our platform has predicted need validation across a variety of biological systems to determine their efficacy and safety, which opens up many opportunities for novel therapeutic development, according to Prof. Antonio Del Sol.
About this news from neurogenesis research
Author: Jana Sendra
Source: CIC bioGUNE
Contact: Jana Sendra – CIC bioGUNE
Image: The image is credited to Neuroscience News
Open access to original research
Antonio Del Sol Mesa and colleagues'” Rejuvenating Interventions in the Human Brain Are Discovered Through A Machine-Learning Approach..” Advanced Science
Abstract
Rejuvenating Interventions in the Human Brain Are Discovered Through A Machine-Learning Approach.
Age-related brain disorders are rising as a result of the longer life expectancy. Although brain rejuvenation is a promising method to stop brain function decline, systematic discovery techniques are insufficient to carry out effective interventions.
A transcriptional brain aging clock that can detect changes in aging and neurodegeneration has been developed as a computational platform.
It turns out that the presence and severity of neurodegenerative disease significantly increase the predicted age when applied to samples from neurodegeneration-positive samples.
It finds 453 unique rejuvenating interventions, some of which are known to extend the lifespan of animal models, by screening 43840 transcriptional profiles of chemical and genetic perturbations.
Additionally, the interventions identified include those that are already being treated for neurological conditions, such as Alzheimer’s.
A number of compounds that the platform predicted reduced anxiety, improved memory, and rejuvenated the brain cortex transcriptome in aging mice.
These results demonstrate the platform’s ability to identify brain-rejuvenating therapies that could treat neurodegenerative diseases.
