Publications by authors named "Ake Lu"

We describe a framework that addresses concern that the rate of change in any aging biomarker displays a trivial inverse relation with maximum lifespan. We apply this framework to methylation data from the Mammalian Methylation Consortium. We study the relationship of lifespan with the average rate of change in methylation (AROCM) from two datasets: one with 90 dog breeds and the other with 125 mammalian species.

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Article Synopsis
  • Scientists discovered that using special genes (called OSKM) can make old cells younger and help them think better.
  • They tested this on older rats and found that the ones treated with OSKM did better in memory tests than those that didn't get the treatment.
  • The OSKM treatment didn't cause any harm, and it also changed the DNA in the rats' brains in a way that showed signs of "youthfulness."
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Background And Objectives: Epigenetic age estimators indicating faster/slower biological aging vs chronological age independently associate with several age-related outcomes; however, longitudinal associations with cognitive function are understudied. We examined associations of epigenetic age estimators with cognitive function measured annually.

Methods: This longitudinal study consisted of older women enrolled in the Women's Health Initiative Memory Study with DNA methylation (DNAm) collected at baseline (1995-1998) from 3 ancillary studies and were followed up to 13 years.

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Highly active antiretroviral therapy (HAART) helps improve some measures of accelerated epigenetic aging in persons living with HIV (PLWH), but its overall impact on the epigenome is not fully understood. In this study, we analyzed the DNA methylation profiles of PLWH ( = 187) shortly before and approximately 2-3 years after they started HAART, as well as matched seronegative (SN) controls ( = 187), taken at two time intervals. Our aim was to identify specific CpGs and biologic pathways associated with HIV infection and initiation of HAART.

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By analyzing 15,000 samples from 348 mammalian species, we derive DNA methylation (DNAm) predictors of maximum life span ( = 0.89), gestation time ( = 0.96), and age at sexual maturity ( = 0.

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  • The study examined how depressive symptoms, use of antidepressants, and accelerated epigenetic aging relate to the risk of death in postmenopausal women through data from the Women's Health Initiative.
  • Over a median follow-up of 20.4 years, they found that 1,161 participants had died, with noticeable links between antidepressant use, increased depressive symptoms, and a higher risk of mortality.
  • The research suggested that accelerated epigenetic aging could partially explain why antidepressant use is connected to greater mortality risk, emphasizing the need for further studies across diverse groups.
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Systemic low-grade inflammation is a feature of chronic disease. C-reactive protein (CRP) is a common biomarker of inflammation and used as an indicator of disease risk; however, the role of inflammation in disease is not completely understood. Methylation is an epigenetic modification in the DNA which plays a pivotal role in gene expression.

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Machine learning models based on DNA methylation data can predict biological age but often lack causal insights. By harnessing large-scale genetic data through epigenome-wide Mendelian randomization, we identified CpG sites potentially causal for aging-related traits. Neither the existing epigenetic clocks nor age-related differential DNA methylation are enriched in these sites.

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  • Bloom syndrome (BSyn) is an autosomal recessive disorder linked to variants in the BLM gene, leading to issues like poor growth, sun sensitivity, diabetes, mild immunodeficiency, and an increased cancer risk, particularly for leukemias.
  • Unlike typical aging, BSyn patients show no signs of premature aging like hair loss or cataracts, prompting research into their epigenetic age as a health indicator.
  • The findings reveal that BSyn patients have accelerated epigenetic aging in blood lymphocytes and that homozygous Blm mice show similar aging markers in various tissues, indicating a significant impact on CpG methylation levels and overall aging effects.
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Using DNA methylation profiles ( = 15,456) from 348 mammalian species, we constructed phyloepigenetic trees that bear marked similarities to traditional phylogenetic ones. Using unsupervised clustering across all samples, we identified 55 distinct cytosine modules, of which 30 are related to traits such as maximum life span, adult weight, age, sex, and human mortality risk. Maximum life span is associated with methylation levels in subclass homeobox genes and developmental processes and is potentially regulated by pluripotency transcription factors.

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Heterochronic parabiosis (HPB) is known for its functional rejuvenation effects across several mouse tissues. However, its impact on biological age and long-term health is unknown. Here we performed extended (3-month) HPB, followed by a 2-month detachment period of anastomosed pairs.

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Age and sex have a profound effect on cytosine methylation levels in humans and many other species. Here we analyzed DNA methylation profiles of 2400 tissues derived from 37 primate species including 11 haplorhine species (baboons, marmosets, vervets, rhesus macaque, chimpanzees, gorillas, orangutan, humans) and 26 strepsirrhine species (suborders Lemuriformes and Lorisiformes). From these we present here, pan-primate epigenetic clocks which are highly accurate for all primates including humans (age correlation R = 0.

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Sex hormones are hypothesized to drive sex-specific health disparities. Here, we study the association between sex steroid hormones and DNA methylation-based (DNAm) biomarkers of age and mortality risk including Pheno Age Acceleration (AA), Grim AA, and DNAm-based estimators of Plasminogen Activator Inhibitor 1 (PAI1), and leptin concentrations. We pooled data from three population-based cohorts, the Framingham Heart Study Offspring Cohort, the Baltimore Longitudinal Study of Aging, and the InCHIANTI Study, including 1,062 postmenopausal women without hormone therapy and 1,612 men of European descent.

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Background: The current study examined if early adversity was associated with accelerated biological aging, and if effects were mediated by the timing of puberty.

Methods: In early mid-life, 187 Black and 198 White ( = 39.4, s.

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To address how conserved DNA methylation-based epigenetic aging is in diverse branches of the tree of life, we generated DNA methylation data from African clawed frogs (Xenopus laevis) and Western clawed frogs (Xenopus tropicalis) and built multiple epigenetic clocks. Dual species clocks were developed that apply to both humans and frogs (human-clawed frog clocks), supporting that epigenetic aging processes are evolutionary conserved outside mammals. Highly conserved positively age-related CpGs are located in neural-developmental genes such as uncx, tfap2d as well as nr4a2 implicated in age-associated disease.

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Aging is classically conceptualized as an ever-increasing trajectory of damage accumulation and loss of function, leading to increases in morbidity and mortality. However, recent in vitro studies have raised the possibility of age reversal. Here, we report that biological age is fluid and exhibits rapid changes in both directions.

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  • Epigenetic techniques are changing the way scientists estimate the ages of long-lived species, particularly whales, by using molecular biomarkers from small tissue samples.
  • DNA methylation patterns have a strong correlation with age, leading to the creation of "epigenetic clocks" that can be used for age estimation in various animals, including humans and whales.
  • The study validates four epigenetic clocks based on skin samples from killer whales and bowhead whales, achieving median age estimation errors of 2.3-3.7 years, showcasing their potential benefits for wildlife conservation and management.
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Claims surrounding exceptional longevity are sometimes disputed or dismissed for lack of credible evidence. Here, we present three DNA methylation-based age estimators (epigenetic clocks) for verifying age claims of centenarians. The three centenarian clocks were developed based on n = 7039 blood and saliva samples from individuals older than 40, including n = 184 samples from centenarians, 122 samples from semi-supercentenarians (aged 105 +), and 25 samples from supercentenarians (aged 110 +).

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Introduction: Sex hormones are hypothesized to drive sex-specific health disparities. Here, we study the association between sex steroid hormones and DNA methylation-based (DNAm) biomarkers of age and mortality risk including Pheno Age Acceleration (AA), Grim AA, and DNAm-based estimators of Plasminogen Activator Inhibitor 1 (PAI1), and leptin concentrations.

Methods: We pooled data from three population-based cohorts, the Framingham Heart Study Offspring Cohort (FHS), the Baltimore Longitudinal Study of Aging (BLSA), and the InCHIANTI Study, including 1,062 postmenopausal women without hormone therapy and 1,612 men of European descent.

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Background: Epigenetic clocks can track both chronological age (cAge) and biological age (bAge). The latter is typically defined by physiological biomarkers and risk of adverse health outcomes, including all-cause mortality. As cohort sample sizes increase, estimates of cAge and bAge become more precise.

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Physical fitness is a well-known correlate of health and the aging process and DNA methylation (DNAm) data can capture aging via epigenetic clocks. However, current epigenetic clocks did not yet use measures of mobility, strength, lung, or endurance fitness in their construction. We develop blood-based DNAm biomarkers for fitness parameters gait speed (walking speed), maximum handgrip strength, forced expiratory volume in one second (FEV1), and maximal oxygen uptake (VO2max) which have modest correlation with fitness parameters in five large-scale validation datasets (average r between 0.

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Alcohol is a widely consumed substance in the United States, however its effect on aging remains understudied. In this study of young adults, we examined whether cumulative alcohol consumption, i.e.

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Article Synopsis
  • GrimAge version 2 is an improved DNA methylation-based biomarker that enhances predictions of mortality risk by incorporating new estimators for plasma proteins, specifically log transformed high sensitivity C-reactive protein and hemoglobin A1C.
  • It was tested on 13,399 blood samples from various study cohorts and showed better performance than the original GrimAge, particularly for predicting mortality and age-related health issues across different racial and ethnic groups.
  • Additionally, GrimAge2 also appears applicable to younger individuals and alternative sample types like saliva, indicating its potential for tracking metabolic syndrome and other health risks, with strong correlations found to type 2 diabetes and morbidity counts.
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