Peoples skin will reveal your real age, but it is not related to wrinkles. At present, the latest research of scientists shows that the characteristics of skin microorganisms can predict the current actual age.
The human body is covered with bacteria, fungi, viruses and other microorganisms. This dynamic community is called human microbial community. Over the years, scientists have known that the structure of microbial communities will change with age.
At present, researchers at the University of California, San Diego (UCSD) have developed a prediction tool based on machine learning, which can evaluate the real age within 4 years according to the proportion of various skin microbial populations.
The tool may help to better understand the role of microbes in accelerating or slowing down the aging process and affecting age-related diseases, the researchers said. The results were published last month in the journal m systems.
Human microbial community is composed of trillions of single cells, which seems to exceed the number of human cells. They exist in the skin, mouth, nostrils, lungs, intestines, reproductive organs, all over the human body, but different types of microorganisms play different roles in each body part.
Our lives depend on these microbial communities. In recent years, scientists have gradually realized the importance of them. Skin microorganisms can form a protective layer against invading harmful bacteria. Intestinal microorganisms help digest food, absorb nutrition and regulate human immune system.
In general, microbial community is beneficial to human body, but when the symbiotic relationship deviates, it may lead to diabetes, inflammatory bowel disease, cancer and other diseases. Some researchers believe that aging and diseases associated with aging may be the result of changes in microbial population environment.
In the latest study, researchers tested microbes from nearly 10000 samples of the skin, mouth or intestine to determine which microbes better predicted the actual age of the host. Skin samples provide the most accurate age prediction within 3.8 years, oral samples provide the most accurate age prediction within 4.5 years, and intestinal samples provide the most accurate age prediction within 11.5 years.
Understanding the important role of human microbial populations in aging may help scientists better analyze the risks of human aging related diseases, the researchers said.
Netease technology know no column, curious about the world, with you to explore the unknown.
Pay attention to the wechat of Netease Technology (ID: tech_) and send know no to view all the know no manuscripts.