Candles on your birthday cake do not tell the whole story. As anyone who ever joined the reunion of high school, can tell you, some people are faster than others.

Anyone who puts candles on his cake was probably not to guess your chronological age. But research has shown that we also have that “biological era” is called, but a secret but more accurate remedy of our physical condition and the problem of heart problems is likely to develop disorders associated with aging to Alzheimer’s disease.

We all estimate the real age of all people, almost unknowingly, scanning their face to wrinkles, baggy eyes and other teltell signals. But find out how old someone’s brain, arteries or kidneys are. According to a new study by Stanford Medicine investigators, the organs tucking inside our body are increasing at different speeds.

We have developed a blood-based indicator of the age of your organs. With this indicator, we can assess the age of an organ today and predict the possibilities of obtaining that organ related disease after 10 years. ,

Professor of Tony Wyss-CORAY, PHD, Neurology and Neurological Sciences and Director of Knight Initiative for Brain Flexibility

They can also guess who is likely to die of medical conditions associated with one or more of 11 different organ systems: researchers saw: brain, muscles, heart, lungs, arteries, liver, kidney, firearms, immune systems, intestines and fat.

Wyss -COray said that the biological era of an organ – brain – it plays an external role in determining how long you have left to survive.

“Brain is the gatekeeper of longevity,” he said. “If you have got an old brain, you increase the chances of mortality. If you have got a young brain, you are probably going to live for a long time.”

WYSS-CORAY, DH Chen Properser II, is the senior authors of the study to be published online on 9 July Nature therapyThe main writer Hamilton Oh is a former graduate student in the group of PhD, WYSS-CORAY.

Eleven organ system, 3,000 protein, 45,000 people

Scientists reduced randomly selected participants in 44,498, which are 40 to 70, which were designed with a longitudinal data-accelerated effort. UK biobankThis ongoing effort has collected several blood samples and updated medical reports from several 600,000 persons over the years. These participants were monitored up to 17 years to change their health status.

The Wyss-CORAY team used an advanced commercially available laboratory technology, which counted the amount of about 3,000 proteins in each participant’s blood. Some 15% of these proteins can be detected for the origin of single-organs, and many other organ generations.

Researchers fed everyone’s blood-borne protein levels to a computer and determine the average level of each of the organ-specific proteins in the blood of the body of those who were adjusted to age. From this, scientists produced an algorithm that found that the overall protein “signature” for each organ is being evaluated, is different from the overall average for people of that age.

Depending on the difference between individuals and age-time average limb-assigned protein levels, the algorithm assigned a biological age to each of the 11 different organs or organ systems evaluated to each subject. And it measured that multiprootene signatures of each organ in any person are distracted in any direction from the average to the people of the same chronological era. These protein signatures serve as behind the scenes for the relative biological status of individual organs. More than 1.5 standard deviations from the average placed a person’s organ in the “extremely old” or “extremely young” category.

In the study, one-third of individuals had at least one organ with a 1.5-or-grain standard deviation from average, the investigators named any organ as “extremely old” or “extremely young”. One of the four participants had many old or young organs.

For the brain, “extremely aged” has been translated into the brain of 6% to 7% of the participants, whose protein signatures fell to one end of the distribution of organic-age. The “extremely young” brain fell from 6% to 7% at the opposite end.

Health results predict

The algorithm also predicted the future health of the people based on the biological era of its current organs, by organ. WYSS-CORAY and their colleagues examined extremely old organs and Alzheimer’s diseases, chronic liver or kidney disease, type 2 diabetes, two different heart conditions and two different lung diseases, rhemetoid arthritis and osteoritritis, and more than 15 different disorders including more.

The risk for many of those diseases was affected by the biological age of many different organs. But the strongest union was among the biologically aged organ of a person and it is likely that this person will develop a disease related to that organ. For example, having an extremely old heart predicted high risk of atrial fibrillation or heart failure, aged lungs predicted chronic obstructive pulmonary disease (COPD) Risk, and high risk for Alzheimer’s disease from having an old brain, was predicted.

The relationship between having an extremely aged brain and developing Alzheimer’s disease was particularly powerful – 3.1 times the person with aging brain. Meanwhile, having an extremely young brain was especially protective against Alzheimer’s – a person who was a person with an older brain.

In other words, a person with a biologically chronic brain is about 12 times the possibility of receiving a new diagnosis of Alzheimer’s disease in the next decade or one is the same age with a biologically young brain.

In addition, WYSS-CORAY said, brain age was the best single prophet of overall mortality. In the subjects of an extremely old brain, the subjects of dying up to 182% in a period of about 15 years have increased, while individuals with extremely young brain reduced the risk of dying in the same period by 40%.

Propecting the disease, then stopping it

“This approach may motivate human experiments to test new longevity intervention for their impacts on the biological ages of individual organs in different people,” Wyss-CORAY said.

For example, medical researchers may be able to use extreme brain age as a proxy for the surrounding Alzheimer’s disease and interfere before the onset of external symptoms, when the time to arrest it still is, he said.

Combined with organ-yu assessment, clinical trials can throw light at the medical value of the contribution of those factors for aging of various organs, or to be careful collection of diet, diet and prescribed-or supplement-consumption, as well as existing, approved drugs can restore the youth, for which people can develop a disease, which can develop a disease.

“This is ideally, the future of therapy,” he said. “Today, you go to the doctor because some pain hurts, and they take a look to see what is broken. We are trying to move from sick care to health care and people interfere before they get organ-specific diseases.”

Although analytical equipment is now available only for research objectives, WYSS-CORAY plans to commercialize it. He is a co-founder and scientific officer of the teal omix and Vero Bioscience, two companies, for whom Stanford University’s Office of Technology License has developed the technology developed in this and respective research respectively, screen for new drug goals and a consumer products for new drug goals respectively.

The test may be available in the next two to three years, WYSS-CORAY said. “Costs will be reduced because we focus on low major organs, such as brain, heart and immune system, to get more resolve and strong links for specific diseases.”

The study was funded by the National Institute of Health (Grants P50ag047366 and P30ag066515), Milky Way Foundation, The Night Initiative for Brain Regillies and Stanford Alzheimmer Disease Research Center.