Summary: A new study provides some of the most definitive molecular evidence to date that early-life adversity leaves a lasting, system-wide impression on the epigenome. The team analyzed 237 free-ranging rhesus macaques from Cayo Santiago (“Monkey Island”), mapping decades of detailed life histories against genomic data from 12 separate adult tissues.
Using highly precise, tissue-specific “epigenetic clocks” capable of predicting chronological age within a single year, the researchers discovered that while biological aging is a partially coordinated process across the entire body, molecular aging looks radically different depending on the tissue examined.
Key Facts
- The System-Wide Signature: Early life adversity triggers thousands of localized alterations in DNA methylation that are highly coordinated across multiple distinct tissues inside the body.
- The Pitfall of Blood-Only Studies: Epigenetic landscapes are highly tissue-specific. Blood samples, the baseline standard for human research, fail to capture the unique, profound aging and adversity patterns occurring in internal tissues like the thymus or pituitary gland.
- Challenging the “Accelerated Aging” Myth: Early trauma does not act as a simple biological accelerator that makes an organism age faster across the board. In some genomic regions, adversity mirrored accelerated aging, but in others, the molecular signatures moved in entirely opposing directions.
- Internal Synchronization: Despite deep tissue-specific differences, animals that appeared biologically older in one tissue type generally trended older across their other organs, proving aging acts as a partially coordinated systemic process.
- A Rare Lifelong Dataset: Because rhesus macaques live in complex, naturally shifting social environments and share massive biological similarities with humans, they offer an unparalleled window into how natural social trauma shapes life-long health trajectories.
Source: Arizona State University
The experiences we face early in life may leave their marks on our health in ways that echo across decades—and even across the entire body.
A new study, published today in the journal Science, examined a unique group of free-living, rhesus macaques who have been followed their entire lives to document their experiences. Pairing these histories with genomic data from 12 tissues collected in adulthood, the study provides some of the clearest molecular evidence yet that early life adversity leaves a lasting, system-wide impression at the epigenome, the biological layer on top of the human genome that regulates gene activity.
Led by researchers at Arizona State University and Vanderbilt University, along with collaborating institutions, the study examined telltale aging hallmarks of the epigenome—called DNA methylation patterns. DNA methylation is one of the most well-studied markers of aging and can be used to build “epigenetic clocks” that estimate both an organism’s chronological age (how long it has been alive) and biological age (how old it appears physiologically).
“Our goal was to understand how aging unfolds across the body, and how early experiences might influence that process,” said study co-senior author Noah Snyder-Mackler, a professor in Arizona State University’s School of Life Sciences. “What we found is that early life adversity leaves a coordinated epigenetic signature that spans multiple tissues—but it doesn’t simply accelerate aging in a uniform way.”
In this study, researchers developed highly precise tissue-specific clocks, capable of predicting age within about one year of an individual’s chronological age. They conducted their study of 237 macaques, who live in semi-natural conditions on Cayo Santiago (colloquially referred to as “Monkey Island”), a 38-acre island off Puerto Rico’s east coast.
The island is inhabited by over 1,500 free-ranging rhesus macaques and managed by the University of Puerto Rico and Caribbean Primate Research Center. By integrating multi-tissue DNA methylation collected in adulthood with detailed records of early life experiences, the team uncovered how adversity and aging interacted to shape biology at the molecular level.
What they found was that despite this epigenetic precision, aging did not occur uniformly across the body. Instead, the researchers found that age-related changes in DNA methylation were highly tissue-dependent.
“At a molecular level, aging looks very different depending on which tissue you examine,” said Amanda Lea, assistant professor of Biological Sciences at Vanderbilt University, co-senior author of the study. “Blood, which is most commonly measured in human studies, only captures part of the picture.” Some tissues, like the thymus and pituitary gland, showed particularly strong and distinct age-related patterns, while others exhibited more subtle changes.
Yet even amid this diversity, individuals showed a degree of internal consistency. Animals that appeared “biologically older” in one tissue tended to appear older in other tissues as well, suggesting that aging operates as a partially coordinated process across the body.
The study’s most novel insights came from examining early life adversity—defined through naturally occurring conditions such as maternal loss, low maternal social status, or growing up in a crowded social group. These experiences were not only associated with changes in DNA methylation, but in a strikingly coordinated way across tissues. “We found that each type of adversity tends to affect specific regions of the genome,” said Lea. “But once it targets those regions, the effects are often shared across multiple tissues.”
In total, the team identified thousands of genomic regions where DNA methylation was associated with early life adversity. These regions frequently overlapped with those affected by aging—but importantly, the direction of the effects was not consistent.
“In some cases, adversity-related changes looked like accelerated aging. In others, they went in the opposite direction,” explained co-lead author Rachel Petersen, a Vanderbilt postdoctoral researcher. “This tells us that early adversity doesn’t simply ‘speed up’ aging. Instead, it reshapes the epigenome in more complex ways.”
This finding challenges a common assumption that early adversity uniformly accelerates biological aging. Instead, the results suggest a more nuanced model, in which early experiences alter the trajectory of molecular aging, amplifying the effects of aging in some tissues, such as the pituitary, but not others. These findings further suggest that the well-documented effects of early adversity on health operate, at least in part, through mechanisms that are not directly linked to aging.
The study also highlights the importance of studying multiple tissues. Many previous studies have relied on blood samples, which are relatively easy to collect. However, the new findings show that this approach may miss critical aspects of how aging and environmental exposures affect the body.
“Different tissues have their own epigenetic landscapes and respond differently to both age and adversity,” said co-lead author Baptiste Sadoughi, an ASU postdoctoral researcher. “To fully understand health and disease, we need to take a whole-body perspective.”
The use of rhesus macaques, which share many biological and social similarities with humans, adds to the study’s relevance. Unlike laboratory animals, these macaques live in complex social environments, allowing researchers to capture naturally occurring variation in life experiences.
“This kind of dataset is incredibly rare,” said Lea. “It allows us to connect detailed life histories with molecular changes across the body in a way that simply isn’t possible in most human studies.”
Beyond its scientific contributions, the research has important implications for understanding the developmental origins of health and disease. By showing how early experiences shape the epigenome across tissues, it provides a potential mechanism linking childhood conditions to later-life outcomes.
“Early life is a critical window for biological development,” said Snyder-Mackler. “Our findings suggest that experiences during this period can leave lasting marks on the genome that influence health trajectories over the lifespan.”
At the same time, the complexity of the results offers a note of caution. Because all types of adversity do not have uniform effects, predicting long-term consequences will require a more detailed understanding of context, timing, and individual variation.
“This is not a simple story,” Lea said. “But that’s what makes it exciting. We’re beginning to see how life experiences are written into our biology—and why those signatures might vary within and between individuals.”
As researchers continue to explore the interplay between environment, epigenetics and aging, studies like this one are helping to redefine what it means to grow older—not just as a function of time, but as a dynamic process shaped by the unique experiences that can truly define our lives.
Funding: The study was made possible by funding from the National Institutes of Health, including the National Institute on Aging (grants R01AG060931, R01AG084706, R00AG075241, and R21AG078554), the National Institute of Mental Health (R01MH118203) and the Office of Research Infrastructure Programs (P40OD012217); the National Science Foundation (SMA-2105307, BCS-2041654, and SBE-2313953); the Hevolution Foundation/American Federation for Aging Research; and The Leakey Foundation.
Key Questions Answered:
A: Previously, scientists assumed that early stress acted like an accelerator pedal, advancing an individual’s biological clock uniformly. However, this multi-tissue map showed that adversity-related changes often move in the opposite direction of normal aging depending on the genomic region. Rather than merely fast-forwarding the clock, early trauma fundamentally twists and rewrites the developmental trajectory of the epigenome in a much more intricate way.
A: Blood is easy to collect, making it the standard for human clinical trials, but it only offers a narrow window into the body’s overall biology. The researchers found that different organs, like the pituitary gland and thymus, possess entirely distinct epigenetic landscapes that respond uniquely to stress. Relying solely on blood means missing the critical, severe molecular changes happening deep inside the body’s organ systems.
A: Unlike standardized laboratory mice, these free-living macaques navigate complex, highly variable social hierarchies, experience natural losses, and live out their entire lifespans under wild conditions. Because they share extensive genetic, physiological, and social commonalities with humans, tracking their lifelong biographies allows researchers to map environmental trauma to adult molecular biology with a level of precision that is logistically impossible in human populations.
Editorial Notes:
- This article was edited by a Neuroscience News editor.
- Journal paper reviewed in full.
- Additional context added by our staff.
About this epigenetics research news
Author: Skip Derra
Source: Arizona State University
Contact: Skip Derra – Arizona State University
Image: The image is credited to Neuroscience News
Original Research: Open access.
“Age and early life adversity shape heterogeneity of the epigenome across tissues in macaques” by Sadoughi, B., Petersen, R. M., Patterson, S. K., Slikas, E., Adjangba, C., Ryan, N., Costa, E. C., Newman, L. E., Watowich, M. M., Kelsey, C. R., Greenier, A., Goldman, E. A., Negrón-Del Valle, J. E., Phillips, D., Thompson, I., Bauman Surratt, S. E., González, O., Compo, N., Burgos, A., Cayo Biobank Research Unit, DeCasien, A. R., Chiou, K. L., Walker, C. S., Ruiz Lambides, A. V., Martínez, M. I., Sterner, K. N., Melin, A. D., Brent, L. J. N., Higham, J. P., Montague, M. J., Platt, M. L., Snyder-Mackler, N., and Lea, A. J. Science
DOI:10.1126/science.aea4922
Abstract
Age and early life adversity shape heterogeneity of the epigenome across tissues in macaques
INTRODUCTION
Aging is universal, yet the pace of its decline varies markedly among, and even within, individuals. Understanding the molecular basis of this aging heterogeneity—and how it is shaped by socioenvironmental conditions—is a critical challenge in geroscience, essential for identifying early vulnerabilities and factors contributing to disparities in health span and lifespan.
RATIONALE
Early life adversity (ELA) is linked to age-related diseases and reduced lifespan in humans and other social mammals, but how early exposures shape aging across individuals and tissues remains unclear. We addressed this critical gap by measuring DNA methylation (DNAm)—a molecular marker that captures age-related variations and reflects environmental exposures—across multiple tissues and individuals. By pairing these molecular data with rich demographic and life history information, we examined how age and ELA predict tissue-specific methylation patterns and biological age.
RESULTS
We generated a DNAm atlas across 14 tissues from 237 free-ranging rhesus macaques (n = 2485 total samples). First, we identified tissue-specific differentially methylated regions that reflect tissue-specific function and gene regulation. We found substantial age effects on DNAm across tissues. These age-associated differences generally converged toward intermediate methylation levels but exhibited marked intertissue heterogeneity in direction and magnitude. Most age effects were shared among only a few tissues, which indicates that commonly measured peripheral tissues (e.g., blood) reflect only a subset of organism-wide age-related variation.
We trained tissue-specific DNAm “clocks” that accurately predicted chronological age with increased DNAm age observed in individuals with larger body mass. Tissue-specific DNAm ages were more similar within an individual than between individuals, which implies a broadly coordinated age-related biological state across tissues. Nevertheless, within-individual DNAm age heterogeneity emerges early in life: Tissues were more dissimilar in mature compared with young individuals, which suggests that early life experiences may have lasting effects on tissue-specific aging.
We identified thousands of loci differentially methylated with ELA, with the strongest ELA signal for maternal loss and in adipose tissue. Although different forms of ELA targeted largely distinct sets of CpGs (suggesting different molecular pathways), the response to any single ELA was generally similar across tissues, implying a partially coordinated organism-wide effect. ELA-associated DNAm variation was strongest in immune tissues, endocrine tissues, and tissues with long-lived cell types.
Furthermore, CpG sites exhibiting tissue-dependent ELA effects were enriched near transcription start sites, which suggests that this variation in methylation likely alters tissue-specific gene regulation. Although age and ELA targeted many of the same loci—including a strong enrichment for loci linked to human aging and mortality—ELA did not consistently accelerate epigenetic age across tissues.
CONCLUSION
By generating multitissue DNAm data across the life course in animals with known social histories, we reveal a fundamental contrast in epigenomic remodeling: Age-associated epigenetic variations are highly tissue dependent, whereas the molecular effect of ELA represents a more coordinated, organism-wide response. Together, these findings advance our understanding of how early environments sculpt the molecular foundations of aging and establish this comprehensive tissue atlas as a valuable resource for the scientific community.
