MARK-AGE population: From the human model to new insights

Capri, Miriam; Moreno‐Villanueva, María; Cevenini, Elisa; Pini, Elisa; Scurti, Maria; Borelli, Vincenzo; Palmas, Maria Giustina; Zoli, Marco; Schön, Christiane; Siepelmeyer, Anne; Bernhardt, J.; Fiegl, Simone; Zondag, Gerben; Craen, Anton J. M. de; Hervonen, Antti; Hurme, Mikko; Sikora, Ewa; Gonos, Efstathios S.; Voutetakis, Konstantinos; Toussaint, Olivier; Debacq‐Chainiaux, Florence; Grubeck‐Loebenstein, Beatrix; Bürkle, Alexander; Franceschi, Claudio

doi:10.1016/j.mad.2015.03.010

Cited by 30 publications

(40 citation statements)

References 24 publications

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“…Offspring of nonagenarians previously studied in the GEHA study (Genetics of Healthy Ageing; Franceschi et al ., ) and termed GO (‘GEHA offspring’) were also recruited as a potential model of ‘retarded aging’, based on the assumption that their genetic background may predispose them to longevity. As a control for environmental factors and lifestyle, recruitment of GO was accompanied by the recruitment of their spouses, termed SGO (‘spouses of the GO’) (Bürkle et al ., ; Capri et al ., ).…”

Section: Resultsmentioning

confidence: 97%

“…MARK‐AGE is a European‐wide population study, supported by the European Commission (FP7), aiming to discover biomarkers of aging which would serve as a reliable measure of biological age (Bürkle et al ., ; Capri et al ., ).…”

Section: Introductionmentioning

confidence: 97%

“…We measured the transcript levels of DNMT1 and DNMT3B genes and analysed their variation with age in peripheral blood mononuclear cells (PBMCs) from more than two thousand age‐stratified donors (35–75 years) from the general population from eight European countries (Capri et al ., ).…”

Section: Introductionmentioning

confidence: 97%

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Age-dependent expression ofDNMT1andDNMT3Bin PBMCs from a large European population enrolled in the MARK-AGE study

et al. 2016

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SummaryAging is associated with alterations in the content and patterns of DNA methylation virtually throughout the entire human lifespan. Reasons for these variations are not well understood. However, several lines of evidence suggest that the epigenetic instability in aging may be traced back to the alteration of the expression of DNA methyltransferases. Here, the association of the expression of DNA methyltransferases DNMT1 and DNMT3B with age has been analysed in the context of the MARK‐AGE study, a large‐scale cross‐sectional study of the European general population. Using peripheral blood mononuclear cells, we assessed the variation of DNMT1 and DNMT3B gene expression in more than two thousand age‐stratified women and men (35–75 years) recruited across eight European countries. Significant age‐related changes were detected for both transcripts. The level of DNMT1 gradually dropped with aging but this was only observed up to the age of 64 years. By contrast, the expression of DNMT3B decreased linearly with increasing age and this association was particularly evident in females. We next attempted to trace the age‐related changes of both transcripts to the influence of different variables that have an impact on changes of their expression in the population, including demographics, dietary and health habits, and clinical parameters. Our results indicate that age affects the expression of DNMT1 and DNMT3B as an almost independent variable in respect of all other variables evaluated.

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Section: Resultsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 97%

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Age-dependent expression ofDNMT1andDNMT3Bin PBMCs from a large European population enrolled in the MARK-AGE study

et al. 2016

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“…Research of aging biomarkers and attempts to harness them to carry out personalized therapeutic interventions and monitor their efficacy are at the core of several European projects (Capri et al, 2015). At present, no biomarker alone can monitor healthy or unhealthy aging, even though recent data emphasize the value of molecular and DNA/RNA-based biomarkers.…”

Section: Discussionmentioning

confidence: 99%

Circulating miRNAs and miRNA shuttles as biomarkers: Perspective trajectories of healthy and unhealthy aging

Olivieri

Capri²,

Bonafè³

et al. 2017

Mechanisms of Ageing and Development

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Human aging is a lifelong process characterized by a continuous trade-off between pro-and anti-inflammatory responses, where the best-adapted and/or remodeled genetic/epigenetic profile may develop a longevity phenotype. Centenarians and their offspring represent such a phenotype and their comparison to patients with age-related diseases (ARDs) is expected to maximize the chance to unravel the genetic makeup that better associates with healthy aging trajectories. Seemingly, such comparison is expected to allow the discovery of new biomarkers of longevity together with risk factor for the most common ARDs. MicroRNAs (miRNAs) and their shuttles (extracellular vesicles in particular) are currently conceived as those endowed with the strongest ability to provide information about the trajectories of healthy and unhealthy aging. We review the available data on miRNAs in aging and underpin the evidence suggesting that circulating miRNAs (and cognate shuttles), especially those involved in the regulation of inflammation (inflamma-miRs) may constitute biomarkers capable of reliably depicting healthy and unhealthy aging trajectories.

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“…The recruitment of the participants and the collection of anthropometric markers (weight, height), medical history (interviewed by trained field workers), and lifestyle characteristics took place between November 2008 and June 2012 at the following centers: Hall in Tirol and Innsbruck (Austria), Namur (Belgium), Esslingen (Germany), Athens and nearby regions (Greece), Bologna (Italy), Warsaw (Poland), and Tampere (Finland). Publications describing the project design, study population, and standard operating procedures have been recently published [20,21,22]. …”

Section: Methodsmentioning

confidence: 99%

Plasma Carotenoids, Tocopherols, and Retinol in the Age-Stratified (35–74 Years) General Population: A Cross-Sectional Study in Six European Countries

et al. 2016

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Blood micronutrient status may change with age. We analyzed plasma carotenoids, α-/γ-tocopherol, and retinol and their associations with age, demographic characteristics, and dietary habits (assessed by a short food frequency questionnaire) in a cross-sectional study of 2118 women and men (age-stratified from 35 to 74 years) of the general population from six European countries. Higher age was associated with lower lycopene and α-/β-carotene and higher β-cryptoxanthin, lutein, zeaxanthin, α-/γ-tocopherol, and retinol levels. Significant correlations with age were observed for lycopene (r = −0.248), α-tocopherol (r = 0.208), α-carotene (r = −0.112), and β-cryptoxanthin (r = 0.125; all p < 0.001). Age was inversely associated with lycopene (−6.5% per five-year age increase) and this association remained in the multiple regression model with the significant predictors (covariables) being country, season, cholesterol, gender, smoking status, body mass index (BMI (kg/m2)), and dietary habits. The positive association of α-tocopherol with age remained when all covariates including cholesterol and use of vitamin supplements were included (1.7% vs. 2.4% per five-year age increase). The association of higher β-cryptoxanthin with higher age was no longer statistically significant after adjustment for fruit consumption, whereas the inverse association of α-carotene with age remained in the fully adjusted multivariable model (−4.8% vs. −3.8% per five-year age increase). We conclude from our study that age is an independent predictor of plasma lycopene, α-tocopherol, and α-carotene.

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MARK-AGE population: From the human model to new insights

Cited by 30 publications

References 24 publications

Age-dependent expression ofDNMT1andDNMT3Bin PBMCs from a large European population enrolled in the MARK-AGE study

Age-dependent expression ofDNMT1andDNMT3Bin PBMCs from a large European population enrolled in the MARK-AGE study

Circulating miRNAs and miRNA shuttles as biomarkers: Perspective trajectories of healthy and unhealthy aging

Plasma Carotenoids, Tocopherols, and Retinol in the Age-Stratified (35–74 Years) General Population: A Cross-Sectional Study in Six European Countries

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