Multi-omic rejuvenation and life span extension on exposure to youthful circulation

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In the study “Alive and well? Exploring disease by studying lifespan,” Brett and Rando (2014) discuss the importance of studying lifespan to understand diseases and aging. The authors highlight the significance of DNA methylation age in determining the age of human tissues and cell types (Horvath, 2013). They also reference research by López-Otín et al. (2013) and Meer et al. (2018), which explore the DNA methylation clock in mice.

Another study by Petkovich et al. (2017) investigates the use of DNA methylation profiling to evaluate biological age and longevity interventions. Olova et al. (2019) discuss partial reprogramming and its impact on epigenetic age. Meanwhile, Fahy et al. (2019) focus on the reversal of epigenetic aging and immunosenescent trends in humans.

Horvath et al. (2020) propose a dual species measurement of epigenetic age with a single clock, and Lu et al. (2020) discuss reprogramming to recover youthful epigenetic information and restore vision. Rando and Chang (2012) explore the relationship between aging, rejuvenation, and epigenetic reprogramming.

Sarkar et al. (2020) present findings on the transient non-integrative expression of nuclear reprogramming factors and their effects on aging in human cells. Kerepesi et al. (2021) study the rejuvenation event during embryogenesis followed by aging. Trapp et al. (2021) focus on profiling epigenetic age in single cells.

The concept of parabiosis is discussed by Lunsford et al. (1963), McCay et al. (1956), and Pope et al. (1956), who use it as a method for studying factors affecting aging in rats. Baht et al. (2015) investigate the effects of exposure to a youthful circulation on bone repair, while Conboy et al. (2005) study the rejuvenation of aged progenitor cells through exposure to a young systemic environment.

The role of growth differentiation factor 11 (GDF11) in reversing age-related cardiac hypertrophy is explored by Loffredo et al. (2013), and Ruckh et al. (2012) focus on the rejuvenation of regeneration in the aging central nervous system. Villeda et al. (2014) demonstrate that young blood can reverse age-related impairments in cognitive function and synaptic plasticity in mice.

Macrophage cells and their role in rejuvenating bone repair in mice are discussed by Vi et al. (2018), while Rebo et al. (2016) demonstrate how old blood can inhibit multiple tissues. Middeldorp et al. (2016) explore the potential of young blood plasma for Alzheimer’s disease.

The history and methodology of heterochronic parabiosis are outlined by Conboy et al. (2013), and the migration of hematopoietic stem and progenitor cells is studied by Wright et al. (2001) and Donskoy et al. (1992). Ho et al. (2021) find that aged hematopoietic stem cells are refractory to bloodborne systemic rejuvenation interventions.

Methods for DNA methylation analysis, such as reduced representation bisulfite sequencing (Meissner et al., 2005) and full lifespan epigenetic clock for mice (Thompson et al., 2018), are described. Lu et al. (2023) present universal DNA methylation age across mammalian tissues, and Arneson et al. (2022) develop a mammalian methylation array for profiling methylation levels at conserved sequences.

The DAMA study by Fiorito et al. (2021) investigates DNA methylation-based biomarkers of aging and their response to a two-year diet and physical activity intervention. The role of electron transport chain-mediated longevity is explored by Durieux et al. (2011). Loerch et al. (2008) study the evolution of the aging brain transcriptome and synaptic regulation.

The use of gene set enrichment analysis (GSEA) to interpret genome-wide expression profiles is introduced by Subramanian et al. (2005), and the molecular signatures database (MSigDB) hallmark gene set collection is discussed by Liberzon et al. (2015). The impact of oxidative phosphorylation on aging is explored by Lesnefsky and Hoppel (2006).

The relationship between aging and inflammation is highlighted by Bandres et al. (2000), Leonardi et al. (2018), and Lai et al. (2017). The role of inflammation in the progression of chronic kidney disease is studied by Amdur et al. (2016). Tyshkovskiy et al. (2019) investigate gene expression signatures associated with lifespan extension.

Distinct longevity mechanisms across and within species, as well as their association with aging, are explored by Tyshkovskiy et al. (2023). The significance of sirtuins, specifically SIRT3, in regulating cancer cell metabolism and aging is discussed by Gonzalez Herrera et al. (2012), Benigni et al. (2019), and Brown et al. (2013).

The impact of dietary restriction and blood glutathione on lifespan enhancement is investigated by Lang et al. (1989) and Richie et al. (1994). Telomerase gene

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