[Medical Frontier] Discover the new "biological age" markers

With the change of the way of life of the Chinese people, the senile diseases in many traditional concepts are gradually becoming younger, such as hypertension and diabetes. The "identity of the ID card" observed by the naked eye has not fully reflected its true health. Therefore, the concept of "biological age", which more accurately reflects the actual health of the body, is gradually entering the public's field of vision. The researchers of the Sugar-based Group Research Group of the Beijing Key Laboratory of Clinical Epidemiology of Capital Medical University, under the leadership of Professor Wang Wei, have confirmed for many times that the level of immunoglobulin glycosylation is used in China. A promising biomarker for population age prediction.

According to Wang Wei, more and more studies have confirmed that the process of human aging is closely related to the state of inflammation in the body. However, to date, little is known about the causes of age-related inflammatory and immune responses in various fields. The research results of plasma IgG N-glycosylation levels in the fields of "biological age" and "actual age" have recently been accepted by the internationally renowned academic magazine Medicine and published in July 2016. The primary objective of the study was to discover the association between plasma IgG glycosylation levels and "biological age" and "identification age" to verify whether comprehensive glycosylation markers could be used as potential biomarkers for predicting "biological age" .

The team members collected a number of demographic information, biochemical and hematological examination indicators for the Chinese Han population, and established an age prediction model based on glycosylation levels.

The team believes that IgG N-glycosylation levels may be a dynamic biomarker for predicting "biological age," which can help researchers gain important biological knowledge about aging, as well as the diagnosis of inflammatory-related diseases. Monitoring of treatment and prognosis plays an important role.

With the change of the way of life of the Chinese people, the senile diseases in many traditional concepts are gradually becoming younger, such as hypertension and diabetes. The "identity of the ID card" observed by the naked eye has not fully reflected its true health. Therefore, the concept of "biological age", which more accurately reflects the actual health of the body, is gradually entering the public's field of vision. The researchers of the Sugar-based Group Research Group of the Beijing Key Laboratory of Clinical Epidemiology of Capital Medical University, under the leadership of Professor Wang Wei, have confirmed for many times that the level of immunoglobulin glycosylation is used in China. A promising biomarker for population age prediction.

According to Wang Wei, more and more studies have confirmed that the process of human aging is closely related to the state of inflammation in the body. However, to date, little is known about the causes of age-related inflammatory and immune responses in various fields. The research results of plasma IgG N-glycosylation levels in the fields of "biological age" and "actual age" have recently been accepted by the internationally renowned academic magazine Medicine and published in July 2016. The primary objective of the study was to discover the association between plasma IgG glycosylation levels and "biological age" and "identification age" to verify whether comprehensive glycosylation markers could be used as potential biomarkers for predicting "biological age" .

The team members collected a number of demographic information, biochemical and hematological examination indicators for the Chinese Han population, and established an age prediction model based on glycosylation levels.

The team believes that IgG N-glycosylation levels may be a dynamic biomarker for predicting "biological age," which can help researchers gain important biological knowledge about aging, as well as the diagnosis of inflammatory-related diseases. Monitoring of treatment and prognosis plays an important role.

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