The Aging Biomarker Consortium represents a new era for aging research in China DOI
Jie Ren, Moshi Song, Weiqi Zhang

и другие.

Nature Medicine, Год журнала: 2023, Номер 29(9), С. 2162 - 2165

Опубликована: Июль 19, 2023

Язык: Английский

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

и другие.

Signal Transduction and Targeted Therapy, Год журнала: 2023, Номер 8(1)

Опубликована: Июнь 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

Язык: Английский

Процитировано

547

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

и другие.

Cell, Год журнала: 2023, Номер 186(18), С. 3758 - 3775

Опубликована: Авг. 1, 2023

Язык: Английский

Процитировано

281

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

и другие.

Nature, Год журнала: 2023, Номер 624(7990), С. 164 - 172

Опубликована: Дек. 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.

Язык: Английский

Процитировано

252

Biomarkers of aging DOI Open Access

Hainan Bao,

Jiani Cao, Mengting Chen

и другие.

Science China Life Sciences, Год журнала: 2023, Номер 66(5), С. 893 - 1066

Опубликована: Апрель 11, 2023

Язык: Английский

Процитировано

205

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

и другие.

Aging, Год журнала: 2022, Номер unknown

Опубликована: Дек. 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

Язык: Английский

Процитировано

156

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

и другие.

Nature Reviews Genetics, Год журнала: 2023, Номер 24(5), С. 332 - 344

Опубликована: Янв. 30, 2023

Язык: Английский

Процитировано

131

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

и другие.

Nature Medicine, Год журнала: 2024, Номер 30(2), С. 360 - 372

Опубликована: Фев. 1, 2024

Язык: Английский

Процитировано

127

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

и другие.

Nature Aging, Год журнала: 2024, Номер 4(11), С. 1619 - 1634

Опубликована: Авг. 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

Язык: Английский

Процитировано

97

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

и другие.

Nature Aging, Год журнала: 2022, Номер 2(11), С. 1054 - 1069

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

75

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

Muzhao Xiong,

Xiang-Hong Fu

и другие.

Med, Год журнала: 2023, Номер 4(11), С. 825 - 848.e13

Опубликована: Июль 28, 2023

Язык: Английский

Процитировано

65