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Mitochondria and aging in older individuals: an analysis of DNA methylation age metrics, leukocyte telomere length, and mitochondrial DNA copy number in the VA normative aging study

机译:Mitochondria和老龄化在老年人中:VA规范性老化研究中的DNA甲基化年龄度量,白细胞端粒长度和线粒体DNA拷贝数分析

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摘要

Population aging is a looming global health challenge. New biological aging metrics based on DNA methylation levels have been developed in addition to traditional aging biomarkers. The prospective relationships of aging biomarkers with mitochondrial changes are still not well understood. Here, we examined the prospective associations of mitochondrial copy number (mtDNAcn) with several aging biomarkers - DNAm-Age, DNAm-PhenoAge, DNAm-GrimAge, and leukocyte telomere length. We analyzed 812 individuals from Veteran Affairs Normative Aging Study (NAS) with available blood samples from 1999-2013. Whole blood mtDNAcn and relative leukocyte telomere length were measured via qPCR. DNA methylation was assessed and used to calculate DNAm-Age, DNAm-GrimAge, and DNAm-PhenoAge. Linear mixed models were used to quantify the associations of mtDNAcn with DNAm-Age, DNAm-GrimAge, DNAm-PhenoAge, and leukocyte telomere length. In multivariable cross-sectional analyses, mtDNAcn is negatively associated with DNAm-Age PhenoAge and DNAm-PhenoAge. In contrast, mtDNAcn is associated with prospective measures of higher DNAm-PhenoAge and shorter leukocyte telomere length. Our study shows that higher mtDNAcn is associated with prospective measures of greater DNAm-PhenoAge and shorter leukocyte telomere length independent of chronological age. This indicates a role for mitochondrial in aging-related disease and mortality, but not the departure of biological age from chronological age.
机译:人口老龄化是一个迫在眉睫的全球健康挑战。除了传统的老化生物标志物外,还开发了基于DNA甲基化水平的新生物老化度量。衰老生物标志物的前瞻性关系仍未清楚。在这里,我们研究了线粒体拷贝数(MTDNACN)的前瞻性关联,具有几种衰老生物标志物 - Dnam-Age,Dnam-enboage,Dnam-Grimage和白细胞端粒长度。从1999 - 2013年,我们分析了来自Veteran Afficative Agent研究(NAS)的812名来自Veteran Affactic Agencative Agging研究(NAS)的个人。通过QPCR测量全血MTDNACN和相对白细胞端粒长度。评估DNA甲基化并用于计算Dnam-Age,Dnam-Grimage和Dnamoage。线性混合模型用于量化MTDNACN与Dnam-Age,Dnam-Grimage,Dnamoage和白细胞端粒长度的关联。在多变量的横截面分析中,MTDNACN与DNAM - 年龄酚素和DNAM - 酚类呈负相关。相比之下,MTDNACN与更高的DNAM-enboage和较短的白细胞端粒长度相关的前瞻性措施有关。我们的研究表明,较高的MTDNACN与更大的DNAM-enboage和较短的白细胞端粒长度无关的前瞻性措施相关。这表明线粒体在与衰老相关疾病和死亡率中的作用,但不是从长期年龄的生物年龄的脱落。

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