DNA methylation age at birth and childhood: performance of epigenetic clocks and characteristics associated with epigenetic age acceleration in the Project Viva cohort DOI Creative Commons
Anne K. Bozack, Sheryl L. Rifas‐Shiman, Diane R. Gold

et al.

Clinical Epigenetics, Journal Year: 2023, Volume and Issue: 15(1)

Published: April 12, 2023

Abstract Background Epigenetic age acceleration (EAA) and epigenetic gestational (EGAA) are biomarkers of physiological development may be affected by the perinatal environment. The aim this study was to evaluate performance clocks identify biological sociodemographic correlates EGAA EAA at birth in childhood. In Project Viva pre-birth cohort, DNA methylation measured nucleated cells cord blood (leukocytes red cells, N = 485) leukocytes early (N 120, median 3.2 years) mid-childhood 460, 7.7 years). We calculated (EGA; Bohlin Knight clocks) (EA; Horvath skin & clocks), respective measures EAA. evaluated relative chronological using correlations absolute error. tested for associations maternal-child characteristics with mutually adjusted linear models controlling estimated cell type proportions. also EA childhood Results EGA strongly correlated (Bohlin r 0.82, p < 0.001). were weakly age, but moderately ( 0.45–0.65). Maternal smoking during pregnancy associated higher [ B (95% CI) 1.17 weeks (− 0.09, 2.42)] [0.34 years (0.03, 0.64)]. Female newborns children had lower [− 0.17 0.30, − 0.04)] 2.88 4.41, 1.35)] [early childhood: 0.3 0.60, 0.01); mid-childhood: 0.48 0.77, 0.18)] than males. When comparing self-reported Asian, Black, Hispanic, more one race or other racial/ethnic groups White, we identified significant differences mid-childhood, varied across clocks. positively Conclusions child sex multiple timepoints. Further research provide insight into relationship between factors, pediatric aging, health lifespan.

Language: Английский

Inflammation and aging: signaling pathways and intervention therapies DOI Creative Commons
Xia Li, Chentao Li, Wanying Zhang

et al.

Signal Transduction and Targeted Therapy, Journal Year: 2023, Volume and Issue: 8(1)

Published: June 8, 2023

Abstract Aging is characterized by systemic chronic inflammation, which accompanied cellular senescence, immunosenescence, organ dysfunction, and age-related diseases. Given the multidimensional complexity of aging, there an urgent need for a systematic organization inflammaging through dimensionality reduction. Factors secreted senescent cells, known as senescence-associated secretory phenotype (SASP), promote inflammation can induce senescence in normal cells. At same time, accelerates immune resulting weakened function inability to clear cells inflammatory factors, creates vicious cycle senescence. Persistently elevated levels organs such bone marrow, liver, lungs cannot be eliminated leading damage aging-related Therefore, has been recognized endogenous factor elimination could potential strategy anti-aging. Here we discuss at molecular, cellular, organ, disease levels, review current aging models, implications cutting-edge single cell technologies, well anti-aging strategies. Since preventing alleviating diseases improving overall quality life are ultimate goals research, our highlights critical features mechanisms along with latest developments future directions providing theoretical foundation novel practical

Language: Английский

Citations

524
Biomarkers of aging for the identification and evaluation of longevity interventions DOI Creative Commons
Mahdi Moqri, Chiara Herzog, Jesse R. Poganik

et al.

Cell, Journal Year: 2023, Volume and Issue: 186(18), P. 3758 - 3775

Published: Aug. 1, 2023

Language: Английский

Citations

277
Organ aging signatures in the plasma proteome track health and disease DOI Creative Commons
Hamilton Oh, Jarod Rutledge, Daniel Nachun

et al.

Nature, Journal Year: 2023, Volume and Issue: 624(7990), P. 164 - 172

Published: Dec. 6, 2023

Abstract Animal studies show aging varies between individuals as well organs within an individual 1–4 , but whether this is true in humans and its effect on age-related diseases unknown. We utilized levels of human blood plasma proteins originating from specific to measure organ-specific differences living individuals. Using machine learning models, we analysed 11 major estimated organ age reproducibly five independent cohorts encompassing 5,676 adults across the lifespan. discovered nearly 20% population strongly accelerated one 1.7% are multi-organ agers. Accelerated confers 20–50% higher mortality risk, relate faster those organs. find with heart have a 250% increased failure risk brain vascular predict Alzheimer’s disease (AD) progression independently pTau-181 (ref. 5 ), current best blood-based biomarker for AD. Our models link calcification, extracellular matrix alterations synaptic protein shedding early cognitive decline. introduce simple interpretable method study using proteomics data, predicting effects.

Language: Английский

Citations

237
Biomarkers of aging DOI Open Access

Hainan Bao,

Jiani Cao, Mengting Chen

et al.

Science China Life Sciences, Journal Year: 2023, Volume and Issue: 66(5), P. 893 - 1066

Published: April 11, 2023

Language: Английский

Citations

203
DNA methylation GrimAge version 2 DOI Creative Commons
Ake T. Lu, Alexandra M. Binder, Joshua Zhang

et al.

Aging, Journal Year: 2022, Volume and Issue: unknown

Published: Dec. 14, 2022

Aging | doi:10.18632/aging.204434. Ake T. Lu, Alexandra M. Binder, Joshua Zhang, Qi Yan, Alex P. Reiner, Simon R. Cox, Janie Corley, Sarah E. Harris, Pei-Lun Kuo, Ann Z. Moore, Stefania Bandinelli, James D. Stewart, Cuicui Wang, Elissa J. Hamlat, S. Epel, Joel Schwartz, Eric A. Whitsel, Adolfo Correa, Luigi Ferrucci, Riccardo Marioni, Steve Horvath

Language: Английский

Citations

149
Molecular mechanisms of environmental exposures and human disease DOI
Haotian Wu, C. Eckhardt, Andrea Baccarelli

et al.

Nature Reviews Genetics, Journal Year: 2023, Volume and Issue: 24(5), P. 332 - 344

Published: Jan. 30, 2023

Language: Английский

Citations

127
Validation of biomarkers of aging DOI
Mahdi Moqri, Chiara Herzog, Jesse R. Poganik

et al.

Nature Medicine, Journal Year: 2024, Volume and Issue: 30(2), P. 360 - 372

Published: Feb. 1, 2024

Language: Английский

Citations

122
Nonlinear dynamics of multi-omics profiles during human aging DOI Creative Commons
Xiaotao Shen, Chuchu Wang, Xin Zhou

et al.

Nature Aging, Journal Year: 2024, Volume and Issue: 4(11), P. 1619 - 1634

Published: Aug. 14, 2024

Aging is a complex process associated with nearly all diseases. Understanding the molecular changes underlying aging and identifying therapeutic targets for aging-related diseases are crucial increasing healthspan. Although many studies have explored linear during aging, prevalence of mortality risk accelerates after specific time points, indicating importance studying nonlinear changes. In this study, we performed comprehensive multi-omics profiling on longitudinal human cohort 108 participants, aged between 25 years 75 years. The participants resided in California, United States, were tracked median period 1.7 years, maximum follow-up duration 6.8 analysis revealed consistent patterns markers substantial dysregulation occurring at two major periods approximately 44 60 chronological age. Distinct molecules functional pathways these also identified, such as immune regulation carbohydrate metabolism that shifted 60-year transition cardiovascular disease, lipid alcohol 40-year transition. Overall, research demonstrates functions risks change nonlinearly across lifespan provides insights into biological involved

Language: Английский

Citations

91
Toward an improved definition of a healthy microbiome for healthy aging DOI Creative Commons
Tarini Shankar Ghosh, Fergus Shanahan, Paul W. O’Toole

et al.

Nature Aging, Journal Year: 2022, Volume and Issue: 2(11), P. 1054 - 1069

Published: Nov. 17, 2022

The gut microbiome is a modifier of disease risk because it interacts with nutrition, metabolism, immunity and infection. Aging-related health loss has been correlated transition to different states. Microbiome summary indices including alpha diversity are apparently useful describe these states but belie taxonomic differences that determine biological importance. We analyzed 21,000 fecal microbiomes from seven data repositories, across five continents spanning participant ages 18-107 years, revealing uniqueness correlate aging, not healthy aging. Among statistics tested, only Kendall accurately reflects the core abundance ranking disease-associated health-associated taxa. Increased taxa depletion coabundant subset generic feature These alterations stronger correlates unhealthy aging than most thus help identify better targets for therapeutic modulation microbiome.

Language: Английский

Citations

74
Determining a multimodal aging clock in a cohort of Chinese women DOI Creative Commons
Jiaming Li,

Muzhao Xiong,

Xiang-Hong Fu

et al.

Med, Journal Year: 2023, Volume and Issue: 4(11), P. 825 - 848.e13

Published: July 28, 2023

Language: Английский

Citations

64