[ad_1]
Medical Express has published an article on an exciting study of life expectancy.
He said that for a long time doctors have noticed that there is a difference between biological age and age, so that a 55-year-old man can show signs of aging , have an aging-related disease and have another 80-year-old, strong and healthy.
The website said in a report translated by "Arab"While diet and physical activity play a role, different factors make some people age faster than others, and these factors are not well understood.
A team from the Salik Institute analyzed young and old skin cells and published its research on December 19, 2018, looking for "molecular fingerprints" that can be used to predict age. . And to develop a better understanding of the biological process and aging, which can be used to treat common health problems during puberty, such as heart disease and dementia.
"This experiment was aimed at determining whether there were molecular fingerprints of aging on human life," said co-author Sackett Navlakha, assistant professor at the Laboratory of Integrative Biology. "We want to develop algorithms to predict healthy aging and aging in poor health, and to try to detect differences.
"This study provides a basis for quantitatively addressing unanswered questions about human aging, such as the aging rate in times of stress," said co-author Professor Martin Heitzer.
The researchers focused on the type of skin cells called fibroblasts, which generate connective tissue and help the skin recover after infection. They chose this type of cell for two reasons: the first is easy access to these cells without having to undergo biopsy and the second is that previous studies indicated the possibility of containing this type of cells on the cell. fingerprint of aging. Indeed, unlike most other types of cells that change in a few weeks or months, a subset of these cells remains our whole life.
The researchers analyzed fibroblasts from 133 healthy subjects aged one to 94 years old. To obtain a representative sample, the team studied 13 people from each age group. The lab cultivates these cells to multiply and then uses a technique called RNA sequencing to look for vital biomarkers in cells that change with the aging of the person. This chain process uses chain technology to determine which genes are activated in specific cells. Using automatic learning algorithms to sort data from the sequence process, the team found that some biomarkers indicated aging. They could accurately predict the age of error of a person of at least eight years.
"Instead of going into this research with an idea of what we wanted to discover, we decided to look at the evolution of the expression of the genes encoding proteins in order to allow the algorithms to solve them and we used the method called "machine learning standard", said the first author, Jason Fletcher.
The Salik analysis was different from previous approaches used by other laboratories to study biological aging. Most of the previous studies focused on the modifications of some ribosomal DNA core sites, rather than on the change of expression on the genome. The dataset was much larger than any study of this type as it included a large number of people representing multiple contracts. The researchers published the data for the benefit of other researchers.
To study the algorithms, the team also used fibrous skin cells from 10 patients with "chi", a genetic disease that accelerates aging. [بحيث يمكن أن تظهر علامات الشيخوخة على الأطفال]. On the basis of analyzes, the molecular fingerprints of these patients, aged between two and eight years, defined the model as being about ten years old.
"The truth is that our system can predict this type of aging, and the model seems to have begun to recognize true biological age," said Fletcher.
Although this study revealed age-related biomarkers, the researchers say that, according to the indicators that predict aging, this does not mean that it is at the origin of aging. If these findings are confirmed, doctors can use this type of analysis to determine when they begin to examine their patients for age-related diseases and advise them on a healthy lifestyle.
Additional research is needed before starting anti-aging treatments. One of the next steps in the search is to look for these fingerprints in other types of cells.
"Aging has caused many diseases, including Alzheimer's disease and other neurological problems.If we can show that changes in aging-associated fibroblasts are present in other types of cells, we may be able to use these fingerprints to develop targeted therapies, "said Navalja.
[ad_2]
Source link
