MARK-AGE standard operating procedures (SOPs): A successful effort

Moreno‐Villanueva, María; Capri, Miriam; Breusing, Nicolle; Siepelmeyer, Anne; Sevini, Federica; Ghezzo, Alessandro; Craen, Anton J. M. de; Hervonen, Antti; Hurme, Mikko; Schön, Christiane; Grune, Tilman; Franceschi, Claudio; Bürkle, Alexander

doi:10.1016/j.mad.2015.03.007

Cited by 49 publications

(52 citation statements)

References 13 publications

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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%

“…SSC-coded plasma and serum aliquots were shipped (on dry ice) to the Institute of Nutrition, Friedrich-Schiller-University (Jena, Germany), and the National Institute of Public Health and the Environment (RIVM, Bilthoven, The Netherlands), respectively, where they were stored at −80 °C until analysis. Results from the SSC-coded samples were uploaded to the central database [21]. …”

Section: Methodsmentioning

confidence: 99%

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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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Section: Methodsmentioning

confidence: 99%

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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“…Details of the recruitment procedures and of the collection of anthropometric, clinical and demographic data have been published (Moreno‐Villanueva et al ., ,b).…”

Section: Methodsmentioning

confidence: 99%

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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“…Studies in animal models have begun to reveal the nature of these mechanisms, and some assays for humans have been developed. Although many of these unique or composite measures generally track chronological age with a predictable schedule, the biology of their compensatory and homeostatic nature is only partially explained and their relevance for health is limited to observational studies (Hilmer & Le Couteur, ; Kirkland, Tchkonia, Zhu, Niedernhofer, & Robbins, ; Moreno‐Villanueva et al, ; Newman et al, ; Niedernhofer, Kirkland, & Ladiges, ; Richardson et al, ; Robbins & Niedernhofer, ).…”

Section: Introductionmentioning

confidence: 99%

Measuring biological aging in humans: A quest

et al. 2019

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The global population of individuals over the age of 65 is growing at an unprecedented rate and is expected to reach 1.6 billion by 2050. Most older individuals are affected by multiple chronic diseases, leading to complex drug treatments and increased risk of physical and cognitive disability. Improving or preserving the health and quality of life of these individuals is challenging due to a lack of well‐established clinical guidelines. Physicians are often forced to engage in cycles of “trial and error” that are centered on palliative treatment of symptoms rather than the root cause, often resulting in dubious outcomes. Recently, geroscience challenged this view, proposing that the underlying biological mechanisms of aging are central to the global increase in susceptibility to disease and disability that occurs with aging. In fact, strong correlations have recently been revealed between health dimensions and phenotypes that are typical of aging, especially with autophagy, mitochondrial function, cellular senescence, and DNA methylation. Current research focuses on measuring the pace of aging to identify individuals who are “aging faster” to test and develop interventions that could prevent or delay the progression of multimorbidity and disability with aging. Understanding how the underlying biological mechanisms of aging connect to and impact longitudinal changes in health trajectories offers a unique opportunity to identify resilience mechanisms, their dynamic changes, and their impact on stress responses. Harnessing how to evoke and control resilience mechanisms in individuals with successful aging could lead to writing a new chapter in human medicine.

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MARK-AGE standard operating procedures (SOPs): A successful effort

Cited by 49 publications

References 13 publications

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

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

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

Measuring biological aging in humans: A quest

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