Blood and skeletal muscle ageing determined by epigenetic clocks and their associations with physical activity and functioning.
Blood and skeletal muscle ageing determined by epigenetic clocks and their associations with physical activity and functioning.
复制标题
DOI：
10.1186/s13148-021-01094-6
复制
发表时间：
2021-05-17
影响因子：
5.7
通讯作者：
Laakkonen EK
中科院分区：
文献类型：
--
作者：
Sillanpää E;Heikkinen A;Kankaanpää A;Paavilainen A;Kujala UM;Tammelin TH;Kovanen V;Sipilä S;Pietiläinen KH;Kaprio J;Ollikainen M;Laakkonen EK
本研究的目的是调查血液和肌肉组织中不同生物衰老估计（即表观遗传年龄）的对应关系及其与体力活动（PA），身体功能和身体成分的关系。纳入了两个独立队列（N = 139和N = 47），其年龄跨度涵盖成年期（23-69岁）。全血和M。收集股外侧肌样本，并分析DNA甲基化。使用全基因组甲基化数据和公开可用的在线工具计算了四种不同的DNA甲基化年龄（DNAmAge）估计值。一种新的肌肉特异性甲基化年龄估计使用R-包'MEAT'。采用问卷调查和加速度计测量PA。进行了几项测试，以估计心肺功能和肌肉力量。采用双能X线吸收法测定身体成分。血液和肌肉的DNAmAge估计值与实际年龄高度相关，但不同的年龄加速度估计值之间的相关性较弱。同卵双生子血液（r = 0.617-0.824）衰老速度的对内相似性高于肌肉（r = 0.523-0.585）。年龄加速估计与PA，身体机能和身体成分的关联在这两种组织中都很弱，主要是由吸烟和性别解释的。肌肉特异性表观遗传时钟MEAT被开发用于预测实际年龄，这可以解释为什么它与功能表型无关。Horvath的时钟和GrimAge与PA和相关表型弱相关，表明较高的PA与肌肉的加速生物老化有关。然而，这可能更多地反映了表观遗传时钟算法测量功能性肌肉老化的能力较低，而不是实际年龄加速。根据我们的研究结果，调查表观遗传时钟在估计肌肉老化的生理适应，通常发生由于老化或PA的价值相当低。因此，需要进一步开发方法来深入了解肌肉组织特异性衰老和潜在的生物学途径。在线版本包含补充材料，可通过10.1186/s13148-021-01094-6获得。
The aim of this study was to investigate the correspondence of different biological ageing estimates (i.e. epigenetic age) in blood and muscle tissue and their associations with physical activity (PA), physical function and body composition. Two independent cohorts (N = 139 and N = 47) were included, whose age span covered adulthood (23–69 years). Whole blood and m. vastus lateralis samples were collected, and DNA methylation was analysed. Four different DNA methylation age (DNAmAge) estimates were calculated using genome-wide methylation data and publicly available online tools. A novel muscle-specific methylation age was estimated using the R-package ‘MEAT’. PA was measured with questionnaires and accelerometers. Several tests were conducted to estimate cardiorespiratory fitness and muscle strength. Body composition was estimated by dual-energy X-ray absorptiometry. DNAmAge estimates from blood and muscle were highly correlated with chronological age, but different age acceleration estimates were weakly associated with each other. The monozygotic twin within-pair similarity of ageing pace was higher in blood (r = 0.617–0.824) than in muscle (r = 0.523–0.585). Associations of age acceleration estimates with PA, physical function and body composition were weak in both tissues and mostly explained by smoking and sex. The muscle-specific epigenetic clock MEAT was developed to predict chronological age, which may explain why it did not associate with functional phenotypes. The Horvath’s clock and GrimAge were weakly associated with PA and related phenotypes, suggesting that higher PA would be linked to accelerated biological ageing in muscle. This may, however, be more reflective of the low capacity of epigenetic clock algorithms to measure functional muscle ageing than of actual age acceleration. Based on our results, the investigated epigenetic clocks have rather low value in estimating muscle ageing with respect to the physiological adaptations that typically occur due to ageing or PA. Thus, further development of methods is needed to gain insight into muscle tissue-specific ageing and the underlying biological pathways. The online version contains supplementary material available at 10.1186/s13148-021-01094-6.
登录
查看更多内容
全基因组甲基化谱揭示了人类衰老速度的定量观点。
影响因子：
16
作者：
Hannum, Gregory;Guinney, Justin;Zhao, Ling;Zhang, Li;Hughes, Guy;Sadda, SriniVas;Klotzle, Brandy;Bibikova, Marina;Fan, Jian-Bing;Gao, Yuan;Deconde, Rob;Chen, Menzies;Rajapakse, Indika;Friend, Stephen;Ideker, Trey;Zhang, Kang
通讯作者：
Zhang, Kang
DOI：
10.18632/aging.101414
发表时间：
2018-04-18
期刊：
Aging
影响因子：
--
作者：
Levine ME;Lu AT;Quach A;Chen BH;Assimes TL;Bandinelli S;Hou L;Baccarelli AA;Stewart JD;Li Y;Whitsel EA;Wilson JG;Reiner AP;Aviv A;Lohman K;Liu Y;Ferrucci L;Horvath S
通讯作者：
Horvath S
DOI：
10.18632/aging.100742
发表时间：
2015-05
期刊：
Aging
影响因子：
--
作者：
Horvath S;Mah V;Lu AT;Woo JS;Choi OW;Jasinska AJ;Riancho JA;Tung S;Coles NS;Braun J;Vinters HV;Coles LS
通讯作者：
Coles LS
影响因子：
12.3
作者：
Horvath S
通讯作者：
Horvath S
影响因子：
3.7
作者：
Laakkonen, Eija K.;Kulmala, Janne;Sipila, Sarianna
通讯作者：
Sipila, Sarianna