Project description:Transcriptional Profile of Aging in C. elegans Whole-genome analysis of gene expression during chronological aging of the worm provides a rich database of age-specific changes in gene expression and represents one way to distinguish among these models. Using a rigorous statistical model with multiple replicates, we find that a relatively small number of genes (only 164) show statistically significant changes in transcript levels as aging occurs (<1% of the genome). Expression of heat shock proteins decreases, while expression of certain transposases increases in older worms, and these findings are consistent with a higher mortality risk due to a failure in homeostenosis and destabilization of the genome in older animals. Finally, a specific subset of genes is coordinately altered both during chronological aging and in the transition from the reproductive form to the dauer, demonstrating a mechanistic overlap in aging between these two processes. Groups of assays that are related as part of a time series. Age: Age of organism Computed
Project description:Transcriptional Profile of Aging in C. elegans Whole-genome analysis of gene expression during chronological aging of the worm provides a rich database of age-specific changes in gene expression and represents one way to distinguish among these models. Using a rigorous statistical model with multiple replicates, we find that a relatively small number of genes (only 164) show statistically significant changes in transcript levels as aging occurs (<1% of the genome). Expression of heat shock proteins decreases, while expression of certain transposases increases in older worms, and these findings are consistent with a higher mortality risk due to a failure in homeostenosis and destabilization of the genome in older animals. Finally, a specific subset of genes is coordinately altered both during chronological aging and in the transition from the reproductive form to the dauer, demonstrating a mechanistic overlap in aging between these two processes. Groups of assays that are related as part of a time series. Age: Age of organism Keywords: time_series_design
Project description:Current models used to study skin aging, including in vivo murine models, ex vivo human skin, and in vitro 2D cell cultures, present significant limitations in replicating the complexity of chronological human skin aging. To address this gap, we developed a novel 3D human full-thickness skin aging model using primary dermal fibroblasts and epidermal keratinocytes harvested from the same aged donors (average age 80 years). Comprehensive histological, immunostaining, and transcriptomic analyses of this aging model, compared to a young 3D skin model (average age 20 years), revealed distinct hallmarks of chronological skin aging, including reduced epidermal and dermal thickness, decreased extracellular matrix content, diminished cell proliferation, and increased cellular senescence. Furthermore, 3D aging skin model also showed reduced IGF-1 expression and induction of AP1/JunB, which were consistent with observations in aged human skin. Transcriptomic profiling further identified upregulated pathways associated with extracellular matrix degradation, cellular senescence, and immune responses, aligning closely with published data from human aged skin. This novel in vitro model faithfully recapitulates several key features of chronological skin aging, offering a robust platform for studying aging mechanisms and testing therapeutic interventions. We have used microarray to study the gene expression profile of 3D skin models
Project description:Hematopoietic stem cells (HSCs) and their progeny sustain lifetime hematopoiesis. Aging alters HSC function, number, and composition and increases risk of hematological malignancies, but how these changes occur in HSCs remains unclear. Signaling via p38MAPK has been proposed as a candidate mechanism underlying induction of HSC aging. Here, using genetic models of both chronological and premature aging, we describe a multimodal role for p38α, the major p38MAPK isozyme in hematopoiesis, in HSC aging. We report that p38α regulates differentiation bias and sustains transplantation capacity of HSCs in the early phase of chronological aging (from young to 1-year-old). However, p38α decreased HSC transplantation capacity in the late progression phase of chronological aging (from 1- to 2-years-old). Furthermore, co-deletion of p38α in mice deficient in Ataxia-telangiectasia mutated (Atm), a model of premature aging, exacerbated aging-related HSC phenotypes seen in Atm single mutant mice. Mechanistically, p38α makes a positive contribution to inflammation during the late phase aging, resulting in defects in 2-year-old HSCs. Overall, we propose multiple functions of p38MAPK, which both promotes and suppresses HSC aging context-dependently.
Project description:Hematopoietic stem cells (HSCs) and their progeny sustain lifetime hematopoiesis. Aging alters HSC function, number, and composition and increases risk of hematological malignancies, but how these changes occur in HSCs remains unclear. Signaling via p38MAPK has been proposed as a candidate mechanism underlying induction of HSC aging. Here, using genetic models of both chronological and premature aging, we describe a multimodal role for p38α, the major p38MAPK isozyme in hematopoiesis, in HSC aging. We report that p38α regulates differentiation bias and sustains transplantation capacity of HSCs in the early phase of chronological aging (from young to 1-year-old). However, p38α decreased HSC transplantation capacity in the late progression phase of chronological aging (from 1- to 2-years-old). Furthermore, co-deletion of p38α in mice deficient in Ataxia-telangiectasia mutated (Atm), a model of premature aging, exacerbated aging-related HSC phenotypes seen in Atm single mutant mice. Mechanistically, p38α makes a positive contribution to inflammation during the late phase aging, resulting in defects in 2-year-old HSCs. Overall, we propose multiple functions of p38MAPK, which both promotes and suppresses HSC aging context-dependently.
Project description:Genome-wide DNA methylation profiling of colon and ileal biopsies, blood samples from people living with HIV on ART and their matched HIV-negative counterparts. Despite having similar chronological ages, PWH on ART exhibit accelerated biological aging in the colon, ileum, and blood, as measured by various epigenetic aging clocks, compared to HIV-negative controls. Investigating the relationship between microbial translocation and biological aging, PWH on ART had decreased levels of tight junction proteins in the colon and ileum, along with increased microbial translocation.
Project description:BackgroundAging is a complex biological process characterized by progressive molecular alterations across multiple organ systems, significantly influencing disease susceptibility and mortality. Unraveling molecular interactions driving aging is crucial for interventions promoting healthy aging and mitigating senescence. However, the systemic mechanisms governing both inter-organ interactions and organ-specific aging trajectories remain incompletely characterized.MethodsTo investigate the molecular dynamics of aging, we conducted a systematic multi-omics analysis of 400 tissue samples collected from 10 organs (brain, heart, intestine, kidney, liver, lung, muscle, skin, spleen, and stomach) in mice at four distinct life stages: 4, 8, 12, and 20 months (from youth to elderly). Proteomic profiling was performed using data-independent acquisition (DIA) technology, while metabolomic analysis was performed in both positive and negative ion modes. Differential expression analysis of proteins and metabolites was employed to construct a comprehensive multi-organ aging dataset. ResultsProteomic profiling across ten organs at four age stages identified a total of 14,763 protein groups (PGs). Of these, 18 proteins, including Ighm, C4b, and Hpx, exhibited consistent age-related differential expression patterns across all ten organs. Functional enrichment analysis highlighted the humoral immune response as a primary driver of age-related expression changes. Additionally, this study mapped a set of age-unique proteins, such as Hp, Egf, and Arg, with distinct expression patterns in aging organs. Metabolic analysis identified 3,779 metabolites, with key aging-related metabolites such as NAD+, inosine, xanthine, and hypoxanthine showing significant expression changes across multiple organs. Pathway enrichment analysis revealed consistent alterations in purine metabolism, pyrimidine metabolism, riboflavin metabolism, and nicotinate/nicotinamide metabolism during multi-organ aging.ConclusionsThis study provides a multi-omics atlas of multi-organ aging, revealing both intra- and inter-organ similarities and heterogeneities. These findings offer valuable insights into the molecular mechanisms underlying geriatric health decline and serve as a foundational resource for organism-systematic early warning and targeted interventions against aging-associated pathologies.
Project description:The age-related loss of skeletal muscle mass and function (sarcopenia) is one of the most dramatic changes affecting the human body. A clear understanding of the mechanisms involved is thus of paramount importance in ensuring quality of life in the old age. Most previous studies of sarcopenia in human investigated chronological aging, as they relied on comparisons between young and old subjects. Notably, no previous study has taken into consideration inter-individual differences (biological aging) in prevalence of sarcopenia. To obtain an integrative view of muscle biological aging our project uses a single biopsy from 72 well-phenotyped 80 years healthy subjects with different muscle loss/gain (PROOF cohort), to provide an extended characterization of the muscle tissue, including microstructural and omic analyses.
Project description:Background: Liquid biopsies analyzing cell-free DNA methylation in plasma offer a non-invasive diagnostic for diseases, with aging biomarker potential underexplored. Methods: Utilizing enzymatic methyl-seq (EM-seq), this study assessed cfDNA methylation patterns in aging with blood from 35 healthy individuals. Results: It found aging signatures, including higher cfDNA levels and variations in fragment sizes, plus over 2 million age-related differentially methylated CpG sites. A biological age predictive model based on 41 CpG sites showed a strong correlation with chronological age, verified by two datasets. Age-specific epigenetic shifts linked to inflammation were revealed through differentially methylated regions profiling and Olink proteomics. Conclusion: These findings indicate cfDNA methylation as a potential biomarker for aging, and it might exacerbate immunoinflammatory reactivity in older individuals.