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    Home > Active Ingredient News > Digestive System Information > Cell sub-journal: The aging speed of human organs is not the same, the intestinal flora is the key to delaying kidney aging

    Cell sub-journal: The aging speed of human organs is not the same, the intestinal flora is the key to delaying kidney aging

    • Last Update: 2022-04-22
    • Source: Internet
    • Author: User
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    Over time, we will eventually age, and no one can escape the process
    .


    However, the rate of aging does vary widely between individuals


    Over time, we will eventually age, and no one can escape the process


    Moreover, young-looking people are usually healthy and less sick; other people, although their actual age is young, have joined the ranks of chronically ill patients, and they look much older than their actual age


    In fact, the concept of assessing the rate of biological aging in individuals has been around since the 1970s , but early research focused on the macro level, such as developing a method for estimating a unified aging index, or using in vitro tissue and cell cultures to study molecules Aging biomarkers


    On March 8 , 2022 , a research team led by Xu Xun, Dean of Shenzhen BGI Research Institute, published a research paper entitled: Distinct biological ages of organs and systems identified from a multi-omics studyin the journalCell Reports.


    The study found evidence that multiple " clocks " may exist in systems throughout the body and used multi-omics data to show differences in the rate of aging of organs and systems


    Everyone has multiple clocks in their bodies that run faster or slower depending on factors such as genetics and life>


    Previously, most human aging research has been conducted in older populations and people with high rates of chronic disease
    .


    The aging process in healthy young adults remains largely unknown


    Previously, most human aging research has been conducted in older populations and people with high rates of chronic disease


    For the new study, researchers recruited 4,066 local volunteers ( 52% female) between the ages of 20 and 45 in Shenzhen to generate multi-omics-level data from blood samples, stool samples, physical fitness exams, and facial skin images .


    They detected a total of 403 features, including 74 metabolomic features, 34 clinical biochemical features, 36 immune system features, 15 immune body component features, 8 physical features, 10 EEG features, 16 facial skin features and 210 gut microbiome signatures .
    These features were grouped into 9 categories, namely cardiovascular -related, kidney-related, liver-related, sex hormones, facial skin, nutrient vascular / metabolism, immune-related, physical health-related, and gut microbiome features .

    After classification, the researchers examined the relationship of each trait to gender and age
    .


    As most traits were found to have sex-specific effects


    After classification, the researchers examined the relationship of each trait to gender and age


    The researchers found that cardiovascular age varied the least among participants, while liver age varied considerably, suggesting that there may be differences in the effects of aging in organs and systems
    .

    The researchers found that cardiovascular age varied the least among participants, while liver age varied considerably, suggesting that there may be differences in the effects of aging in organs and systems
    .


    To deeply characterize the aging process in different organs and systems, the researchers constructed an aging rate index (ie, the difference between biological age and chronological age / chronological age), which can be used to show an individual's relative annual rate of aging (acceleration or deceleration).
    )
    .

    To deeply characterize the aging process in different organs and systems, the researchers constructed an aging rate index (ie, the difference between biological age and chronological age / chronological age), which can be used to show an individual's relative annual rate of aging (acceleration or deceleration).
    )
    .

    The researchers found that not all aging rates are expected, with different correlations between biological ages in different organs and systems
    .

    The researchers found that not all aging rates are expected, with different correlations between biological ages in different organs and systems
    .

    in particular:

    in particular:

    • Physical age (physical fitness) generally has a high correlation with all other systems;

    • Physical age (physical fitness) generally has a high correlation with all other systems;

    • Biological age of the kidneys and sex hormone systems are most relevant;

    • Biological age of the kidneys and sex hormone systems are most relevant;

    • Sex hormone age is associated with kidneys and immune system;

    • Sex hormone age is associated with kidneys and immune system;

    • The rate of aging of the renal system is negatively correlated with the rate of aging of the gut microbiome

    • The rate of aging of the renal system is negatively correlated with the rate of aging of the gut microbiome

    Therefore, having a more diverse gut microbiota means a younger gut, while also slowing kidney aging
    .
    This may be due to the accumulation of gut microbiota-derived metabolites associated with chronic kidney disease
    .
    Previous studies have found that the increased diversity of opportunistic pathogens leads to the accumulation of toxic metabolites, which can cause disturbances in the renal system
    .

    Therefore, having a more diverse gut microbiota means a younger gut, while also slowing kidney aging
    .
    This may be due to the accumulation of gut microbiota-derived metabolites associated with chronic kidney disease
    .
    Previous studies have found that the increased diversity of opportunistic pathogens leads to the accumulation of toxic metabolites, which can cause disturbances in the renal system
    .

    In addition, to assess the predictive efficiency of the biological age clock, the researchers also predicted nonalcoholic fatty liver disease
    with the aging rate index .
    It was also the most common anomaly in the study sample
    .
    They found that NAFLD severity was associated with an index of liver aging, consistent with biological age clocks predicting disease or phenotype in the corresponding organ
    .

    In addition, to assess the predictive efficiency of the biological age clock, the researchers also predicted nonalcoholic fatty liver disease
    with the aging rate index .
    It was also the most common anomaly in the study sample
    .
    They found that NAFLD severity was associated with an index of liver aging, consistent with biological age clocks predicting disease or phenotype in the corresponding organ
    .
    nonalcoholic fatty liver

    In conclusion, the study found that the different directions of ageing correlations are consistent with the existence of multiple clocks throughout the body system
    .

    In conclusion, the study found that the different directions of ageing correlations are consistent with the existence of multiple clocks throughout the body system
    .

    The researchers also looked at other datasets using their new method, including the U.
    S.
    Centers for Disease Control and Prevention 's ( CDC ) National Health and Nutrition Examination Survey, and the China Longitudinal Health and Longevity Survey, which involved data on more than 2,000 centenarians and a matched middle-aged control population
    .
    In addition, they looked at single nucleotide polymorphisms ( SNPs ) to see if the differences could be explained by genetic factors, and found some pathways that might be involved in the rate of aging
    .

    The researchers also used their new approach to look at other datasets, including the U.
    S.
    Centers for Disease Control and Prevention's (CDC ) National Health and Nutrition Examination Survey, and the China Longitudinal Health and Longevity Survey, which involved data from more than 2,000 centenarians.
    Data and a matched middle-aged control population .
    In addition, they looked at single nucleotide polymorphisms ( SNPs ) to see if the differences could be explained by genetic factors, and found some pathways that might be involved in the rate of aging .

    The researchers plan to regularly track the aging process of these participants to validate their findings
    .
    Future research will use other methods to classify the features of aging and study the interactions between organ systems
    .

    The researchers plan to regularly track the aging process of these participants to validate their findings
    .
    Future research will use other methods to classify the features of aging and study the interactions between organ systems
    .

    " The method used in our study can help us improve our understanding of aging and, more importantly, may be applied in practical medicine in the future, " said Xun Xu .


    " The method used in our study can help us improve our understanding of aging and, more importantly, may be applied in practical medicine in the future, " said Xun Xu .

    In addition, the team plans to study programmed aging in more detail using single-cell techniques
    .

    In addition, the team plans to study programmed aging in more detail using single-cell techniques
    .

    " Capturing cell-to-cell differences in aging individuals is important as this will tell us important information about cell type and intra-tissue heterogeneity, " said study co-corresponding author Dr.
    Claudio Franceschi from Lobachevsky State University.
    Provides important insights into the mechanisms of aging .
    "

    " Capturing cell-to-cell differences in aging individuals is important as this will tell us important information about cell type and intra-tissue heterogeneity, " said study co-corresponding author Dr.
    Claudio Franceschi from Lobachevsky State University.
    Provides important insights into the mechanisms of aging .
    "

    Paper link:

    Paper link:

    Distinct biological ages of organs and systems identified from a multi-omics study.
    Cell Reports.
    2022.
    https://doi.
    org/10.
    1016/j.
    celrep.
    2022.
    110459

    Distinct biological ages of organs and systems identified from a multi-omics study.
    Cell Reports.
    2022.
    https://doi.
    org/10.
    1016/j.
    celrep.
    2022.
    110459Leave a message here
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