

Aging-US
Aging-US Podcast
Aging-US is dedicated to advancing our understanding of the biological mechanisms that drive aging and the development of age-related diseases. Our mission is to serve as a platform for high-quality research that uncovers the cellular, molecular, and systemic processes underlying aging, and translates these insights into strategies to extend healthspan and delay the onset of chronic disease.
Read about the Aging (Aging-US) Scientific Integrity Process: https://aging-us.com/scientific-integrity
Read about the Aging (Aging-US) Scientific Integrity Process: https://aging-us.com/scientific-integrity
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Sep 15, 2025 • 6min
AI Tools Reveal How IPF and Aging Are Connected
Idiopathic Pulmonary Fibrosis (IPF) is a progressive lung disease that primarily affects people over the age of 60. It causes scarring in the lung tissue, which gradually reduces lung capacity and makes breathing difficult. Despite years of research, the exact causes of IPF remain largely unknown, and current treatments mainly aim to slow its progression rather than reverse or cure the disease.
Because IPF tends to develop later in life, researchers have long suspected a connection with biological aging. This is the focus of a recent study by scientists from Insilico Medicine. Their research, titled “AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging,” was published recently in Aging-US, Volume 17, Issue 8.
Full blog - https://aging-us.org/2025/09/ai-tools-reveal-how-ipf-and-aging-are-connected/
Paper DOI - https://doi.org/10.18632/aging.206295
Corresponding author - Alex Zhavoronkov - alex@insilico.com
Abstract video - https://www.youtube.com/watch?v=24lX2lHbt7o
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Keywords - aging, IPF, generative AI, transformer, proteomics
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Sep 11, 2025 • 4min
AI Tools Uncover New Link Between Idiopathic Pulmonary Fibrosis and Aging
BUFFALO, NY — September 11, 2025 — A new #research paper was #published in Volume 17, Issue 8 of Aging-US on August 8, 2025, titled “AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging.”
In this study, researchers Fedor Galkin, Shan Chen, Alex Aliper, Alex Zhavoronkov, and Feng Ren from Insilico Medicine used artificial intelligence (AI) to investigate the similarities between idiopathic pulmonary fibrosis (IPF), a severe lung disease, and the aging process. Their findings show that IPF is not simply accelerated aging, but a distinct biological condition shaped by age-related dysfunction. This insight may lead to a new approach in how scientists and clinicians treat this complex disease.
IPF mainly affects individuals over the age of 60. It causes scarring of lung tissue, making it harder to breathe and often leading to respiratory failure. Current treatments can slow the disease but rarely stop or reverse its progression. The researchers used AI to identify shared biological features between aging and fibrosis, finding new potential targets for therapy.
The team developed a “proteomic aging clock” based on protein data from more than 55,000 participants in the UK Biobank. This AI-driven tool accurately measured biological age and found that patients with severe COVID-19, who are at increased risk for lung fibrosis, also showed signs of accelerated aging. This suggests that fibrosis leaves a detectable biological trace, supporting the use of aging clocks in studying age-related diseases.
“For aging clock training, we used the UK Biobank collection of 55319 proteomic Olink NPX profiles annotated with age and gender.”
They also developed a custom AI model, ipf-P3GPT, to compare gene activity in aging lungs versus those with IPF. Although some genes were active in both, many showed opposite behavior. In fact, more than half of the shared genes had inverse effects. This means IPF does not just speed up aging but also disrupts the body’s normal aging pathways.
The study identified unique molecular signatures that distinguish IPF from normal aging. While both involve inflammation and tissue remodeling, IPF drives more damaging changes to lung structure and repair systems. This difference could guide the development of drugs that specifically target fibrosis without affecting normal aging.
By combining AI with large-scale biological data, the study also introduces a powerful toolset for examining other age-related conditions such as liver and kidney fibrosis. These models may support personalized treatments and expand understanding of the relationships between aging and disease, opening new directions for therapy development.
DOI - https://doi.org/10.18632/aging.206295
Corresponding author - Alex Zhavoronkov - alex@insilico.com
Abstract video - https://www.youtube.com/watch?v=24lX2lHbt7o
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Keywords - aging, IPF, generative AI, transformer, proteomics
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Sep 9, 2025 • 4min
Gut Microbiome Influences Proteins That Drive Aging and Disease
BUFFALO, NY — September 9, 2025 — A new #research paper was #published in Volume 17, Issue 8 of Aging-US on August 1, 2025, titled “Causal relationships between gut microbiome and hundreds of age-related traits: evidence of a replicable effect on ApoM protein levels.”
In this study, Federica Grosso, Daniela Zanetti, and Serena Sanna from the Institute for Genetic and Biomedical Research (IRGB) of the National Research Council (CNR), Italy, uncovered new associations between gut microbiome and the aging process. The researchers found that certain microbial characteristics may causally influence proteins in the blood linked to inflammation and heart health. These findings could help explain how age-related diseases like cardiovascular conditions and macular degeneration are influenced by changes in the gut ecosystem.
The gut microbiome, the collection of microorganisms living in the digestive system, plays a major role in immune function and metabolic health. As people age, this microbial community shifts, often leading to imbalances associated with inflammation and chronic disease. To explore how these changes might affect the body, the researchers used Mendelian Randomization—a method that leverages genetic data—to test over 55,000 possible causal connections between gut microbial characteristics and age-related health indicators.
The study identified 91 significant causal relationships. Among them, the researchers found that higher levels of certain gut bacteria were associated with increased risk of age-related macular degeneration. Another finding was the association between a metabolic pathway in the gut, called “purine nucleotides degradation II,” and lower levels of apolipoprotein M (ApoM), a protein that helps protect against heart disease. This result was validated using data from an independent study, strengthening the evidence.
“Unlike previous studies, we performed replication analyses for the significant results using independent GWAS datasets, a fundamental step that has often been overlooked.”
The study also revealed how some bacteria may affect protein levels differently depending on a person’s blood type. Specifically, in individuals with blood type A, certain gut microbes that can break down a sugar called GalNAc may influence proteins related to inflammation and cardiovascular health. This suggests that personalized approaches to managing age-related diseases could consider both gut microbiota and genetic factors like blood type.
The research team followed strict guidelines to reduce false findings and confirmed its key results in independent datasets. By carefully testing for reverse causality and other biases, the authors provided strong evidence that the gut microbiome can influence critical aspects of aging biology.
Although more research is needed to fully understand the biological pathways involved, these findings suggest that targeting the gut microbiota might help delay or reduce age-related inflammation and disease. The study lays a foundation for future therapeutic strategies that could include diet, probiotics, or other microbiome-based interventions.
DOI - https://doi.org/10.18632/aging.206293
Corresponding author - Serena Sanna - serena.sanna@cnr.it
Abstract video - https://www.youtube.com/watch?v=CWky6jlHKUs
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Sep 4, 2025 • 5min
How Exosomes Spread Aging Signals and Could Support Anti-Aging Research
As the global population grows older, understanding what drives the aging process is becoming increasingly important. Diseases like Alzheimer’s, cardiovascular conditions, and cancer are more common with age, yet many current treatments only manage symptoms rather than addressing the underlying biological causes.
One contributor to aging is the buildup of “senescent” cells—cells that have stopped dividing but do not die. These cells can harm nearby tissues by releasing molecular signals, a process known as secondary senescence.
Scientists have found that senescent cells release tiny particles called exosomes. A research team from The Buck Institute for Research on Aging recently discovered that these exosomes carry aging-related messages through the bloodstream. Their study, titled “Exosomes released from senescent cells and circulatory exosomes isolated from human plasma reveal aging-associated proteomic and lipid signatures,” was featured as the cover article in Aging (Aging-US), Volume 17, Issue 8.
Full blog - https://aging-us.org/2025/09/how-exosomes-spread-aging-signals-and-could-support-anti-aging-research/
Paper DOI - https://doi.org/10.18632/aging.206292
Corresponding author - Birgit Schilling - bschilling@buckinstitute.org
Video short - https://www.youtube.com/watch?v=tcyAZahw-g8
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Keywords - aging, proteomics, senescence, exosomes, data-independent acquisitions
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Sep 4, 2025 • 4min
Idiopathic Pulmonary Fibrosis Identified as a Model for Anti-Aging Drug Development
BUFFALO, NY — September 4, 2025 — A new #research perspective was #published in Volume 17, Issue 8 of Aging (Aging-US) on August 16, 2025, titled “Age-related diseases as a testbed for anti-aging therapeutics: the case of idiopathic pulmonary fibrosis.”
In this research perspective, Alex Zhavoronkov, Dominika Wilczok, Feng Ren, and Fedor Galkin, from Insilico Medicine, Buck Institute for Research on Aging, and Duke University, propose a new method to evaluate age-related diseases based on how closely they align with the biological processes of aging. Their analysis shows that idiopathic pulmonary fibrosis (IPF), a progressive lung condition, is one of the diseases most strongly associated with aging. This makes IPF a promising model for testing new anti-aging therapies with the potential to treat multiple age-related conditions.
“This perspective explores how aging-related diseases (ARDs) can serve as experimental platforms for discovering new geroprotective interventions.”
While many age-related diseases are used as models for aging research, not all accurately reflect the biology of aging. To address this, the authors developed a scoring system that measures how closely a disease is connected to the key hallmarks of aging, such as inflammation, genetic instability, and impaired cellular repair. Using this system, they evaluated 13 common age-related diseases and found that IPF had a particularly high overlap with aging biology.
IPF is a chronic disease that causes scarring in the lungs and a rapid decline in lung function. In contrast to the gradual loss of function seen in normal aging, IPF progresses more than five times faster. The authors highlight that IPF shares nearly all of the biological features associated with aging. These similarities make IPF a strong candidate for studying aging and testing therapies that target its underlying causes.
The authors also discuss different therapies currently being developed for IPF that are also designed to address aging itself. These include drugs that clear senescent cells, activate telomerase to maintain chromosome health, or repair damaged signaling between cells. Some of these treatments, such as senolytic combinations and AI-discovered compounds like rentosertib, are already showing early promise in preclinical or clinical trials.
In addition, the authors point out that IPF’s fast progression and clearly measurable outcomes offer an advantage for clinical testing. If a therapy proves effective in IPF, it may also be useful for other conditions that share similar aging-related mechanisms, including diabetes, arthritis, and heart disease. This approach could accelerate drug development and reduce costs by focusing on therapies that target shared biological pathways.
Overall, this perspective supports a shift in pharmaceutical research toward treating aging as an underlying cause of many chronic diseases. By positioning IPF as a model for aging-related drug development, the authors propose a strategic pathway for testing and expanding anti-aging therapies across a wide range of health conditions.
DOI - https://doi.org/10.18632/aging.206301
Corresponding author - Alex Zhavoronkov – alex@insilico.com
Video short - https://www.youtube.com/watch?v=p5ur7itzvSI
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Sep 2, 2025 • 4min
New Study Links Exosomes to Biological Aging
BUFFALO, NY — September 2, 2025 — A new #research paper featured on the #cover of Volume 17, Issue 8 of Aging (Aging-US) was #published on July 30, 2025, titled “Exosomes released from senescent cells and circulatory exosomes isolated from human plasma reveal aging-associated proteomic and lipid signatures.”
In this study, led by first authors Sandip Kumar Patel and Joanna Bons, along with corresponding author Birgit Schilling from The Buck Institute for Research on Aging, researchers found that exosomes—tiny particles released by cells—carry molecular signatures that indicate both biological aging and cellular senescence. These signatures include proteins, lipids, and microRNAs associated with inflammation, oxidative stress, and tissue remodeling. The findings could enhance our understanding of biological aging and help in developing future anti-aging therapies.
Senescence is a state in which cells stop dividing but remain metabolically active. These cells often release harmful substances, known collectively as the senescence-associated secretory phenotype (SASP), that can affect nearby tissues. This study shows that exosomes are an important component of this secretory profile.
The researchers analyzed exosomes from senescent human lung cells and from the blood plasma of both young and older adults. They identified over 1,300 proteins and 247 lipids within these particles. Many of these molecules were significantly altered with age.
“In parallel, a small human plasma cohort from young (20–26 years) and old (65–74 years) individuals revealed 1,350 exosome proteins and 171 plasma exosome proteins were altered in old individuals.”
Exosomes from older individuals contained more inflammation-related proteins and fewer antioxidants, while those from senescent cells showed lipid changes associated with membrane integrity and cellular stress. These changes suggest that exosomes may play a role in spreading senescence to nearby cells, a process known as secondary senescence.
The study also identified distinct patterns in microRNAs—small molecules that regulate gene expression—found in the blood of older adults. Some of these, including miR-27a and miR-874, have previously been associated with cognitive decline and chronic illnesses, highlighting their potential as biomarkers for biological aging.
Although the study involved a limited number of samples, it provides strong early evidence that exosomes reflect the molecular changes associated with aging. By showing how these particles carry and possibly spread aging-related signals throughout the body, the research opens new possibilities for diagnosing and treating age-related diseases.
DOI - https://doi.org/10.18632/aging.206292
Corresponding author - Birgit Schilling – bschilling@buckinstitute.org
Video short - https://www.youtube.com/watch?v=tcyAZahw-g8
Keywords - aging, proteomics, senescence, exosomes, data-independent acquisitions
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Aug 27, 2025 • 4min
AUF1 Protein Plays Anti-Aging Role by Regulating Cellular Metabolism
BUFFALO, NY — August 27, 2025 — A new #research paper was #published in Volume 17, Issue 7 of Aging (Aging-US) on July 24, 2025, titled “RNA-binding protein AUF1 suppresses cellular senescence and glycolysis by targeting PDP2 and PGAM1 mRNAs.”
In this study, Hyejin Mun, Chang Hoon Shin, Mercy Kim, Jeong Ho Chang, and Je-Hyun Yoon from the University of Oklahoma and Kyungpook National University investigated how changes in cellular metabolism contribute to aging. Their findings offer potential targets for therapies aimed at slowing or reducing the effects of aging.
As cells age, they often lose their ability to divide and begin releasing harmful signals that damage nearby tissues. This process, called cellular senescence, is linked to many age-related diseases. A key feature of senescent cells is their altered metabolism, where they use more glucose and oxygen, even when oxygen levels are low. This leads to the production of inflammatory substances and fatty acids, which can accelerate tissue damage. The study examined how these metabolic changes are controlled at the molecular level.
Researchers found that AUF1, a protein that binds to RNA, normally helps prevent aging by breaking down two enzymes involved in glucose metabolism: PGAM1 and PDP2. When AUF1 is missing or inactive, these enzymes build up. This causes the cell to produce more energy and inflammatory molecules, which are common features of senescent cells.
“Our high throughput profiling of mRNAs and proteins from Human Diploid Fibroblasts (HDFs) revealed that the expression of pyruvate metabolic enzymes is inhibited by the anti-senescent RNA-binding protein (RBP) AUF1 (AU-binding Factor 1).”
The team also identified another protein, MST1, which becomes active during cellular stress and aging. MST1 modifies AUF1 in a way that stops it from doing its protective job. As a result, PGAM1 and PDP2 accumulate, leading to faster aging of the cell. Experiments using human fibroblast cells and mouse models confirmed that higher levels of these enzymes are linked to stronger signs of cellular aging.
These findings improve our understanding of how metabolism affects the aging process. They highlight the MST1-AUF1-PDP2/PGAM1 pathway as a key factor in the metabolic shift seen in aging cells. Since these enzymes and proteins are already known to be involved in other diseases, existing or future therapies might be used to block this pathway and reduce the effects of aging.
This study offers a new direction for senotherapy—a field focused on treating or removing aging cells. By adjusting glucose metabolism through AUF1 and its targets, scientists believe it may be possible to slow aging or limit its effects on tissue function. More research is needed, but these insights could lead to new strategies for managing age-related diseases and promoting healthier aging.
DOI - https://doi.org/10.18632/aging.206286
Corresponding authors - Jeong Ho Chang - jhcbio@knu.ac.kr, and Je-Hyun Yoon - jehyun-yoon@ouhsc.edu
Video short - https://www.youtube.com/watch?v=Gbu6USUSkgg
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Keywords - aging, AUF1, MST1, senescence, glycolysis
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Aug 25, 2025 • 4min
Faster Biological Aging Linked to Cognitive Decline in Older Adults
BUFFALO, NY — August 26, 2025 — A new #research paper was #published in Volume 17, Issue 7 of Aging (Aging-US) on July 21, 2025, titled “Association of DNA methylation age acceleration with digital clock drawing test performance: the Framingham Heart Study.”
In this study, led by first author Zexu Li from the Department of Anatomy and Neurobiology at Boston University Chobanian and Avedisian School of Medicine, and corresponding author Chunyu Liu from Boston University Chobanian and Avedisian School of Medicine and Boston University School of Public Health, researchers found that individuals with signs of faster biological aging had lower scores on a digital cognitive test taken seven years later. The findings suggest that the rate at which a person ages at the molecular level may be associated with how well their brain functions as they grow older.
Using data from the Framingham Heart Study, the researchers examined the relationship between biological aging and cognitive health. They used DNA methylation (DNAm) patterns—chemical changes that occur in the DNA with aging, known as epigenetic aging—to estimate biological age acceleration, and used the digital Clock Drawing Test (dCDT) to assess cognitive performance. The dCDT is a computerized version of a traditional pen-and-paper test that evaluates memory, thinking speed, and motor control. It provides an overall score and measures performance in specific areas such as spatial reasoning and movement.
Among 1,789 participants, higher levels of epigenetic age acceleration were associated with significantly lower cognitive scores, particularly those over age 65. Of all the epigenetic aging markers examined, the DunedinPACE measure showed the strongest association with reduced brain function in both younger and older adults. Other measures, such as Horvath and PhenoAge, were associated with lower scores only in older adults. Key areas affected included motor skills and spatial reasoning.
The researchers also studied blood-based protein markers used in an aging measure called GrimAge. Two proteins, PAI1 and ADM, were closely associated with lower cognitive scores, especially in older individuals. These results suggest that declines in brain and motor functions may reflect broader aging-related changes throughout the body.
“Digital cognitive measures displayed stronger associations with most DNAm aging metrics among older compared to younger participants, likely to reflect the cumulative and nonlinear age influences on both brain health and DNAm.”
This study supports the idea that epigenetic age may be a more accurate predictor of cognitive decline than chronological age. The dCDT, which is easy to use, automated, and more precise than traditional tools, may help detect early signs of brain aging. When combined with DNAm measures, it could become a valuable part of regular health screenings.
Overall, the findings provide strong evidence that faster biological aging is associated with cognitive decline. This research may lead to better ways of identifying and monitoring brain health in aging populations.
DOI - https://doi.org/10.18632/aging.206285
Corresponding author - Chunyu Liu - liuc@bu.edu
Video short - https://www.youtube.com/watch?v=4hyjDqnPs8w
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Aug 21, 2025 • 4min
Impact of Cancer on Forensic DNA Methylation Age Estimation
BUFFALO, NY — August 21, 2025 — A new #research paper was #published in Volume 17, Issue 7 of Aging (Aging-US) on July 17, 2025, titled “The influence of cancer on a forensic age estimation tool.”
In this study by Charlotte Sutter, Daniel Helbling, Cordula Haas and Jacqueline Neubauer from the Zurich Institute of Forensic Medicine, University of Zurich and Onkozentrum Zurich, the researchers investigated how cancer might affect the accuracy of forensic tools used to estimate a person’s age from blood samples.
DNA methylation is a natural chemical modification of DNA that changes with age. Forensic scientists can use these changes to predict someone’s age from biological traces, such as blood found at a crime scene. However, medical conditions like cancer can alter these patterns and potentially reduce the accuracy of such predictions. This study investigated whether various cancer types influence the DNA markers used in age estimation.
“Our study is among the first to show whether it might be necessary to account for the influence of cancer on forensic age estimation tools in order to enhance estimation accuracy as much as possible.”
The researchers applied the VISAGE enhanced age estimation tool, a widely used DNA methylation-based method, to blood samples from 100 cancer patients and 102 healthy individuals. Age predictions in the control group were generally accurate, with small average errors. Patients with solid tumors, including breast and lung cancers, showed only slightly less accurate results. In contrast, individuals with blood cancers, particularly chronic lymphocytic leukemia (CLL) and acute myeloid leukemia (AML), sometimes had large errors, with ages overestimated by as much as 50 years.
Despite these few extreme cases, the study found that cancer does not typically have a strong impact on the accuracy of this forensic tool. Most cancer patients, even those undergoing treatment, had DNA methylation patterns similar to those of healthy individuals. The researchers found no consistent differences based on cancer type, stage, or treatment, except in isolated cases involving aggressive forms of cancer.
The findings support the continued use of current forensic age estimation methods. While aggressive cancers may occasionally affect prediction accuracy, such cases are rare. The researchers suggest noting these conditions as a possible factor in unusually large errors, without requiring changes to standard practice.
This study provides valuable information about how health conditions, such as cancer, may influence DNA-based age estimation. It strengthens confidence in the reliability of forensic age prediction tools, even when applied to individuals with a medical history of cancer.
DOI - https://doi.org/10.18632/aging.206281
Corresponding author - Cordula Haas - cordula.haas@irm.uzh.ch
Video short - https://www.youtube.com/watch?v=lcpwE50O4ss
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Keywords - aging, forensic age, estimation age prediction, cancer, DNA methylation, age acceleration
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Aug 19, 2025 • 4min
Epigenetic Aging Markers Predict Colorectal Cancer Risk in Postmenopausal Women
BUFFALO, NY — August 19, 2025 — A new #research paper was #published in Volume 17, Issue 7 of Aging (Aging-US) on July 7, 2025, titled “Epigenetic age and accelerated aging phenotypes: a tumor biomarker for predicting colorectal cancer.”
In this study led by Su Yon Jung from the University of California, Los Angeles, researchers found a strong association between accelerated epigenetic aging and an increased risk of colorectal cancer in postmenopausal women. The study also indicated that lifestyle factors influence this risk.
Colorectal cancer is one of the leading causes of cancer-related deaths worldwide, particularly in people over the age of 50. However, individuals do not all age at the same biological rate. Two people of the same chronological age can differ in their biological aging, which reflects the condition of their cells and tissues. This study focused on a specific measure of biological aging known as epigenetic aging, which is based on chemical changes to DNA.
The researchers used data from the Women’s Health Initiative Database for Genotypes and Phenotypes (WHI-dbGaP), which includes genetic and health information from postmenopausal white women aged 50 to 79. They applied three established “epigenetic clocks” to estimate epigenetic age from blood samples collected up to 17 years before a colorectal cancer diagnosis. These clocks measure how quickly a person is aging at the molecular level by tracking DNA methylation. Women with a higher epigenetic age than expected were significantly more likely to develop colorectal cancer
“[…]we examined biological aging status in PBLs via three well-established epigenetic clocks—Horvath’s, Hannum’s and Levine’s […].”
The study also explored the role of lifestyle in modifying this risk. Women who consumed more fruits and vegetables showed no increased risk, even if they were epigenetically older. In contrast, women with both lower fruit and vegetable intake and signs of accelerated aging were up to 20 times more likely to develop colorectal cancer. This suggests that a healthy diet may help reduce cancer risk associated with biological aging.
Another key finding involved women who had both ovaries removed before natural menopause. These women had a higher epigenetic age and, when combined with accelerated aging, a greater likelihood of developing colorectal cancer. This highlights the potential influence of hormonal and reproductive factors on aging and disease risk.
The researchers validated their findings across several independent datasets, supporting the potential of blood-based epigenetic aging markers as early indicators of colorectal cancer risk. These markers could help guide early detection and prevention strategies in aging populations. However, the authors emphasize the need for independent large-scale replication studies.
Overall, this study contributes to a better understanding of the association between epigenetic aging and cancer. It also supports the idea that modifiable lifestyle factors may reduce disease risk, even among those aging more rapidly at the cellular level.
DOI - https://doi.org/10.18632/aging.206276
Corresponding author - Su Yon Jung - sjung@sonnet.ucla.edu
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