共查询到20条相似文献，搜索用时 15 毫秒
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Oliver Robinson Marc Chadeau Hyam Ibrahim Karaman Rui Climaco Pinto Mika Ala-Korpela Evangelos Handakas Giovanni Fiorito He Gao Andy Heard Marjo‐Riitta Jarvelin Matthew Lewis Raha Pazoki Silvia Polidoro Ioanna Tzoulaki Matthias Wielscher Paul Elliott Paolo Vineis 《Aging cell》2020,19(6)
Markers of biological aging have potential utility in primary care and public health. We developed a model of age based on untargeted metabolic profiling across multiple platforms, including nuclear magnetic resonance spectroscopy and liquid chromatography–mass spectrometry in urine and serum, within a large sample (N = 2,239) from the UK Airwave cohort. We validated a subset of model predictors in a Finnish cohort including repeat measurements from 2,144 individuals. We investigated the determinants of accelerated aging, including lifestyle and psychological risk factors for premature mortality. The metabolomic age model was well correlated with chronological age (mean r = .86 across independent test sets). Increased metabolomic age acceleration (mAA) was associated after false discovery rate (FDR) correction with overweight/obesity, diabetes, heavy alcohol use and depression. DNA methylation age acceleration measures were uncorrelated with mAA. Increased DNA methylation phenotypic age acceleration (N = 1,110) was associated after FDR correction with heavy alcohol use, hypertension and low income. In conclusion, metabolomics is a promising approach for the assessment of biological age and appears complementary to established epigenetic clocks. 相似文献
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Natalia A. Prado Janine L. Brown Joseph A. Zoller Amin Haghani Mingjia Yao Lora R. Bagryanova Michael G. Campana Jesús E. Maldonado Ken Raj Dennis Schmitt Todd R. Robeck Steve Horvath 《Aging cell》2021,20(7)
Age‐associated DNA‐methylation profiles have been used successfully to develop highly accurate biomarkers of age (\"epigenetic clocks\") in humans, mice, dogs, and other species. Here we present epigenetic clocks for African and Asian elephants. These clocks were developed using novel DNA methylation profiles of 140 elephant blood samples of known age, at loci that are highly conserved between mammalian species, using a custom Infinium array (HorvathMammalMethylChip40). We present epigenetic clocks for Asian elephants (Elephas maximus), African elephants (Loxodonta africana), and both elephant species combined. Two additional human‐elephant clocks were constructed by combining human and elephant samples. Epigenome‐wide association studies identified elephant age‐related CpGs and their proximal genes. The products of these genes play important roles in cellular differentiation, organismal development, metabolism, and circadian rhythms. Intracellular events observed to change with age included the methylation of bivalent chromatin domains, and targets of polycomb repressive complexes. These readily available epigenetic clocks can be used for elephant conservation efforts where accurate estimates of age are needed to predict demographic trends. 相似文献
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Kelly Jin Brianah M. McCoy Elisabeth A. Goldman Viktoria Usova Victor Tkachev Alex D. Chitsazan Anneke Kakebeen Unity Jeffery Kate E. Creevy Andrea Wills Noah Snyder-Mackler Daniel E. L. Promislow 《Aging cell》2024,23(4):e14079
Across mammals, the epigenome is highly predictive of chronological age. These “epigenetic clocks,” most of which have been built using DNA methylation (DNAm) profiles, have gained traction as biomarkers of aging and organismal health. While the ability of DNAm to predict chronological age has been repeatedly demonstrated, the ability of other epigenetic features to predict age remains unclear. Here, we use two types of epigenetic information—DNAm, and chromatin accessibility as measured by ATAC-seq—to develop age predictors in peripheral blood mononuclear cells sampled from a population of domesticated dogs. We measured DNAm and ATAC-seq profiles for 71 dogs, building separate predictive clocks from each, as well as the combined dataset. We also use fluorescence-assisted cell sorting to quantify major lymphoid populations for each sample. We found that chromatin accessibility can accurately predict chronological age (R2ATAC = 26%), though less accurately than the DNAm clock (R2DNAm = 33%), and the clock built from the combined datasets was comparable to both (R2combined = 29%). We also observed various populations of CD62L+ T cells significantly correlated with dog age. Finally, we found that all three clocks selected features that were in or near at least two protein-coding genes: BAIAP2 and SCARF2, both previously implicated in processes related to cognitive or neurological impairment. Taken together, these results highlight the potential of chromatin accessibility as a complementary epigenetic resource for modeling and investigating biologic age. 相似文献
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Ze Zhang Samuel R. Reynolds Hannah G. Stolrow Ji-Qing Chen Brock C. Christensen Lucas A. Salas 《Aging cell》2024,23(3):e14071
Aging is a significant risk factor for various human disorders, and DNA methylation clocks have emerged as powerful tools for estimating biological age and predicting health-related outcomes. Methylation data from blood DNA has been a focus of more recently developed DNA methylation clocks. However, the impact of immune cell composition on epigenetic age acceleration (EAA) remains unclear as only some clocks incorporate partial cell type composition information when analyzing EAA. We investigated associations of 12 immune cell types measured by cell-type deconvolution with EAA predicted by six widely-used DNA methylation clocks in data from >10,000 blood samples. We observed significant associations of immune cell composition with EAA for all six clocks tested. Across the clocks, nine or more of the 12 cell types tested exhibited significant associations with EAA. Higher memory lymphocyte subtype proportions were associated with increased EAA, and naïve lymphocyte subtypes were associated with decreased EAA. To demonstrate the potential confounding of EAA by immune cell composition, we applied EAA in rheumatoid arthritis. Our research maps immune cell type contributions to EAA in human blood and offers opportunities to adjust for immune cell composition in EAA studies to a significantly more granular level. Understanding associations of EAA with immune profiles has implications for the interpretation of epigenetic age and its relevance in aging and disease research. Our detailed map of immune cell type contributions serves as a resource for studies utilizing epigenetic clocks across diverse research fields, including aging-related diseases, precision medicine, and therapeutic interventions. 相似文献
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Kevin Perez Alberto Parras Sara Picó Cheyenne Rechsteiner Amin Haghani Robert Brooke Calida Mrabti Lucas Schoenfeldt Steve Horvath Alejandro Ocampo 《Aging cell》2024,23(2):e14058
Several premature aging mouse models have been developed to study aging and identify interventions that can delay age-related diseases. Yet, it is still unclear whether these models truly recapitulate natural aging. Here, we analyzed DNA methylation in multiple tissues of four previously reported mouse models of premature aging (Ercc1, LAKI, Polg, and Xpg). We estimated DNA methylation (DNAm) age of these samples using the Horvath clock. The most pronounced increase in DNAm age could be observed in Ercc1 mice, a strain which exhibits a deficit in DNA nucleotide excision repair. Similarly, we detected an increase in epigenetic age in fibroblasts isolated from patients with progeroid syndromes associated with mutations in DNA excision repair genes. These findings highlight that mouse models with deficiencies in DNA repair, unlike other premature aging models, display accelerated epigenetic age, suggesting a strong connection between DNA damage and epigenetic dysregulation during aging. 相似文献
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Mieko Matsuyama Arne Sraas Sarah Yu Kyuhyeon Kim Evi X Stavrou Paolo F Caimi David Wald Marcos deLima John A Dahl Steve Horvath Shigemi Matsuyama 《Experimental biology and medicine (Maywood, N.J.)》2020,245(17):1543
The mechanism of aging is not yet fully understood. It has been recognized that there are age-dependent changes in the DNA methylation pattern of the whole genome. To date, there are several DNA methylation-based estimators of the chronological age. A majority of the estimators use the DNA methylation data from a single tissue type, such as blood. In 2013, for the first time, Steve Horvath reported the DNA methylation-based age estimator (353 CpGs were used) that could be applied to multiple tissues. A refined, more sensitive version that uses 391 CpGs was subsequently developed and validated in human cells, including fibroblasts. In this review, the age predicted by DNA methylation-based age estimator is referred to as DNAmAge, and the biological process controlling the progression of DNAmAge is referred to as the epigenetic aging in this minireview. The concepts of DNAmAge and epigenetic aging provide us opportunities to discover previously unrecognized biological events controlling aging. In this article, we discuss the frequently asked questions regarding DNAmAge and the epigenetic aging by introducing recent studies of ours and others. We focus on addressing the following questions: (1) Is there any synchronization of DNAmAge between cells in a human body?, (2) Can we use in vitro (cell culture) systems to study the epigenetic aging?, (3) Is there an age limit of DNAmAge?, and (4) Is it possible to change the speed and direction of the epigenetic aging? We describe our current understandings to these questions and outline potential future directions.Impact statementAging is associated with DNA methylation (DNAm) changes. Recent advancement of the whole-genome DNAm analysis technology allowed scientists to develop DNAm-based age estimators. A majority of these estimators use DNAm data from a single tissue type such as blood. In 2013, a multi-tissue age estimator using DNAm pattern of 353 CpGs was developed by Steve Horvath. This estimator was named “epigenetic clock”, and the improved version using DNAm pattern of 391 CpGs was developed in 2018. The estimated age by epigenetic clock is named DNAmAge. DNAmAge can be used as a biomarker of aging predicting the risk of age-associated diseases and mortality. Although the DNAm-based age estimators were developed, the mechanism of epigenetic aging is still enigmatic. The biological significance of epigenetic aging is not well understood, either. This minireview discusses the current understanding of the mechanism of epigenetic aging and the future direction of aging research. 相似文献
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Minkyu Seo Min Su Kim Ara Jang Hyun Joo Chung Yoohun Noh Do-Hee Kim 《Animal cells and systems.》2017,21(4):223-232
KLOTHO was originally identified as an aging-suppressor gene that causes a human aging-like phenotype when tested in KLOTHO-deficient-mice. Recent evidence suggests that KLOTHO functions as a tumor suppressor by inhibiting Wnt signaling. KLOTHO gene silencing, including DNA methylation, has been observed in some human cancers. Aberrant activation of Wnt signaling plays a significant role in aging, and its silencing may be related to prostate cancer and other types of cancers. Thus, we investigated whether the expression of the anti-aging gene KLOTHO was associated with epigenetic changes in prostate cancer cell lines. KLOTHO mRNA was detected in the 22Rv1 cell line while it was not detected in DU145 and PC-3 cell lines. The restoration of KLOTHO mRNA in the DU145 and PC-3 cell lines was induced with a DNA methyltransferase inhibitor. Methylation-specific PCR was performed to determine the specific CpG sites in the KLOTHO promoter responsible for expression. In addition, the level of methylation was assessed in each CpG by performing bisulfite sequencing and quantitative pyrosequencing analysis. The results suggested a remarkable inverse relationship between KLOTHO expression and promoter methylation in prostate cancer cell lines. 相似文献
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DNA甲基化是一种重要的表观遗传调控方式,可在转录前水平调节基因的表达.近年来的研究表明,动脉粥样硬化的发生发展与DNA甲基化密切相关. 对DNA甲基化模式改变在动脉粥样硬化发病的相关机制做深入研究,可能为动脉粥样硬化的诊治提供一种新的途径.本文将从基因组低甲基化、相关基因异常甲基化以及动脉粥样硬化危险因素的DNA甲基化等方面重点阐述DNA甲基化与动脉粥样硬化的关系. 相似文献
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Age-associated alterations in bladder control affect millions of older adults, with a heavy burden added to families both economically and in quality of life. Therapeutic options are limited with poor efficacy in older adults, lending to a growing need to address the gaps in our current understanding of urinary tract aging. This review summarizes the current knowledge of age-associated alterations in the structure and function of the brain–bladder axis and identifies important gaps in the field that have yet to be addressed. Urinary aging is associated with decreased tissue responsiveness, decreased control over the voiding reflex, signaling dysfunction along the brain–bladder axis, and structural changes within the bladder wall. Studies are needed to improve our understanding of how age affects the brain–bladder axis and identify genetic targets that correlate with functional outcomes. 相似文献
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表观遗传标记在猪分子育种中的研究与应用前景 总被引：1，自引：0，他引：1
家畜动物的表型是由基因组、表观基因组和环境等多种因素相互影响共同作用决定的。近年来,随着遗传育种领域的迅速发展,表观遗传标记在猪分子育种中的研究受到越来越多科研人员的关注。表观遗传学是研究基因表达发生可遗传的改变而DNA序列不发生改变的一门生物学分支学科,其遗传标记主要包括DNA甲基化、组蛋白修饰、非编码RNA、印记基因等。越来越多的研究表明,表观遗传标记在猪的遗传性状中发挥着重要作用,主要通过调控与性状相关基因的表达进而达到改变生物表型的目的。然而,在当前猪分子育种领域,表观遗传标记的作用还没有得到足够的重视,影响猪重要性状的机制还没有得到深度解析,因此在实际应用中还缺乏足够的科学依据和可操作性。本文从营养、疾病、重要经济性状以及隔代遗传几个方面综述了表观遗传标记在猪分子育种中的研究现状、应用前景以及遇到的挑战,以期为表观遗传标记在猪分子育种中的应用提供较全面的理论依据。 相似文献
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Mikolaj Ogrodnik 《Aging cell》2021,20(4)
The field of research on cellular senescence experienced a rapid expansion from being primarily focused on in vitro aspects of aging to the vast territories of animal and clinical research. Cellular senescence is defined by a set of markers, many of which are present and accumulate in a gradual manner prior to senescence induction or are found outside of the context of cellular senescence. These markers are now used to measure the impact of cellular senescence on aging and disease as well as outcomes of anti‐senescence interventions, many of which are at the stage of clinical trials. It is thus of primary importance to discuss their specificity as well as their role in the establishment of senescence. Here, the presence and role of senescence markers are described in cells prior to cell cycle arrest, especially in the context of replicative aging and in vivo conditions. Specifically, this review article seeks to describe the process of “cellular aging”: the progression of internal changes occurring in primary cells leading to the induction of cellular senescence and culminating in cell death. Phenotypic changes associated with aging prior to senescence induction will be characterized, as well as their effect on the induction of cell senescence and the final fate of cells reviewed. Using published datasets on assessments of senescence markers in vivo, it will be described how disparities between quantifications can be explained by the concept of cellular aging. Finally, throughout the article the applicational value of broadening cellular senescence paradigm will be discussed. 相似文献
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Shiori Nakamura Jumpei Yamazaki Naoya Matsumoto Miho Inoue-Murayama Huiyuan Qi Masami Yamanaka Masanao Nakanishi Yojiro Yanagawa Mariko Sashika Toshio Tsubota Hideyuki Ito Michito Shimozuru 《Molecular ecology resources》2023,23(6):1211-1225
Age is an essential trait for understanding the ecology and management of wildlife. A conventional method of estimating age in wild animals is counting annuli formed in the cementum of teeth. This method has been used in bears despite some disadvantages, such as high invasiveness and the requirement for experienced observers. In this study, we established a novel age estimation method based on DNA methylation levels using blood collected from 49 brown bears of known ages living in both captivity and the wild. We performed bisulfite pyrosequencing and obtained methylation levels at 39 cytosine-phosphate-guanine (CpG) sites adjacent to 12 genes. The methylation levels of CpGs adjacent to four genes showed a significant correlation with age. The best model was based on DNA methylation levels at just four CpG sites adjacent to a single gene, SLC12A5, and it had high accuracy with a mean absolute error of 1.3 years and median absolute error of 1.0 year after leave-one-out cross-validation. This model represents the first epigenetic method of age estimation in brown bears, which provides benefits over tooth-based methods, including high accuracy, less invasiveness, and a simple procedure. Our model has the potential for application to other bear species, which will greatly improve ecological research, conservation, and management. 相似文献