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In a Nutshell

  • Immune cells don’t age smoothly; the study found two waves of change in gene activity, one around age 40 and another after age 60.
  • Women’s immune cells, especially a cell type involved in killing infected or abnormal cells, stay persistently activated for life, while men show an early burst that settles down.
  • Scientists built separate computer models to estimate biological age for men and women using blood cell activity, and the sex-specific versions predicted age more accurately than a single combined model.

Women live longer than men, but they also pay a steeper price in autoimmune disease. Part of that trade-off may come down to how their immune cells age. A new analysis of blood from nearly 2,000 people found that women’s killer T cells, the cells that hunt down infected or abnormal cells, stay switched on and keep climbing in activity for decades, while men’s spark early and then level off.

Researchers examined almost 3.8 million individual immune cells pulled from the blood of 1,828 healthy people ranging in age from 19 to 97, in a study published in the journal Nature Communications. The immune system didn’t age smoothly in this data. Instead, it moved through two major waves of change in immune-cell gene activity, one around age 40 and another after 60, and men and women hit those turning points on strikingly different timelines.

Four separate datasets fed the analysis: 1,021 women and 807 men representing a dozen self-reported ethnic backgrounds, with more than a third of participants of Asian descent. That breadth makes this one of the broader looks yet at how the human immune system changes across a lifetime and between the sexes.

Two Immune Aging Bursts Show Up Decades Apart

After comparing narrow age windows across the full group, a clear pattern emerged: gene activity didn’t shift smoothly with age. Instead, it surged at two specific points in life, one centered around age 40 and driven mostly by CD4 T cells, a type of immune cell that helps coordinate the body’s defenses, and a second surge after age 60 driven mostly by the CD8 killer T cells.

Researchers checked whether these two “peaks” might just be a statistical fluke by testing different window sizes and cutoffs, and by randomly shuffling the ages in the data to see if the pattern disappeared. It did disappear under random shuffling, which the authors say confirms the peaks reflect something real happening in the body rather than noise in the data.

Alongside those bursts, both sexes showed a steady decline in genes responsible for basic cell maintenance, the everyday upkeep that keeps a cell running smoothly. As that maintenance capacity dropped off with age, immune cells in both men and women also showed rising signs of inflammation. This pairing of slower upkeep and ramped-up inflammation showed up across nearly every major immune cell type studied.

Women’s Immune Cells Stay Locked in Attack Mode

Once researchers split the data by sex, sharp differences appeared. A cluster of genes that kept rising continuously with age showed up only in women, dominated by CD8 killer T cells locked in attack mode. Genes tied to that activation climbed steadily in women across the full age range studied, while similar genes in men spiked early and then flattened out.

Women also showed a set of changes that appeared specifically late in life, spreading across several types of immune cells. This late-life cluster included genes linked to cell death and genes for ferritin, a protein that stores iron inside cells. Ferritin-related genes climbed in women but not in men, a pattern that lines up with known biology: menopause is associated with shifts in how the body handles iron, and the research team pointed to separate survey data showing blood ferritin levels in women tend to rise around age 50, roughly the typical age of menopause. Excess iron buildup has previously been linked to cells entering an aged, worn-out state.

Another female-specific pattern showed immune genes rising, then falling, across the lifespan. This group was dominated by CD4 T cell genes and also included genes involved in flagging threats to the immune system, which declined specifically in women later in life.

Taken together, these female-specific patterns describe an immune system that stays persistently alert, for better and worse. Sustained activation of killer T cells could help explain why older women often mount stronger responses to vaccines and infections. But that same persistent activation carries a cost: chronic immune signaling is linked to inflammation and has been connected in other research to higher rates of autoimmune disease, conditions that disproportionately affect women.

Men’s Immune Response Sparks Early, Then Fades

Men’s immune cells followed a different pattern. A cluster unique to male data showed CD4 T cell genes fluctuating early in life rather than rising steadily, tied to shifts in how cells produce energy rather than straightforward activation.

What stood out was where in the genome this pattern showed up. A large share of these genes clustered at one spot on chromosome 11. To understand why, researchers turned to a separate dataset of blood samples from 729 healthy donors, looking at chemical markers on DNA that can switch genes on or off without changing the genetic code itself.

That analysis found a stretch of DNA near a gene called SSH3, which helps cells move and change shape, that lost its chemical markers with age only in men. Women showed no such change at this spot. This same region of chromosome 11 has previously been flagged in other research as a risk area for autoimmune and allergic conditions.

A second region, on chromosome 6, home to a cluster of genes that help the immune system recognize threats, showed age-related changes in both sexes, but later in women. Genes in this region have been linked in prior work to aging, infections, and lupus, an autoimmune disease that affects far more women than men. One gene from this region, called CLIC1, showed the same sex split in the blood cell data as it did in the DNA marker data: a steady rise in women versus an early rise in men, an early clue that these chemical switches may help explain why the two sexes follow different immune timelines.

Immune Aging Needs a Separate Clock for Men and Women

Beyond mapping these patterns, researchers tested whether accounting for sex could improve efforts to estimate a person’s biological age from blood cell activity alone, an approach sometimes called an aging clock. They built three types of prediction models and settled on a deep learning approach that performed best when tested against outside data it hadn’t seen before.

Models trained only on female data or only on male data consistently outperformed a single model trained on everyone combined. When researchers tested a male-trained model on female data, or vice versa, accuracy dropped, confirming that men and women carry distinct biological signatures of aging in their blood. The models performed best in healthy people and somewhat worse in people with diseases such as lupus or COVID-19, which the researchers suggest reflects how illness can scramble the normal aging signal.

Treating immune aging as one universal process misses what’s actually happening inside the body. Men and women appear to be following genuinely different biological timelines, shaped in part by chemical switches on their DNA. Those differences may echo the very puzzle researchers set out to explain: a female immune system built for sustained vigilance that can come at the price of chronic inflammation, and a male immune system defined by an early spike that settles down. Recognizing that split could eventually help scientists tailor how they approach age-related disease, rather than treating immune aging as one process for everyone.

Disclaimer: This article describes an observational, cross-sectional study that analyzed gene activity in blood immune cells at a single point in time for each participant. It identifies patterns and associations, including links between DNA chemical markers and gene activity, but it does not prove that one causes another. The researchers did not test any treatments or measure health outcomes, and because the data captures a snapshot rather than tracking people over time, how these immune trajectories unfold within individuals will need to be confirmed by future long-term research.


Paper Notes

Limitations

The study’s authors note several caveats. The data captures a single snapshot in time for each person rather than tracking the same individuals over years or decades, so longitudinal studies will be needed to confirm how these immune trajectories unfold within actual individuals. The analysis also combined gene activity across groups of cells into averaged profiles, which can obscure more granular differences between individual cell subtypes; the authors say future work using more detailed single-cell methods may reveal additional detail, including exactly which subsets of CD4 or CD8 T cells are driving the sex differences. Estimates of how cell type proportions change with age could also be influenced by technical factors tied to how samples were processed, and the authors suggest future validation using additional lab techniques. The biological age prediction models are described as a first-generation effort and may not directly capture clinical outcomes like disease risk or mortality. Finally, the study focused only on blood, so it remains unclear whether other body tissues show similar sex-specific aging patterns, and it did not directly examine the roles of sex chromosomes or sex hormones in driving these differences.

Funding and Disclosures

The work was supported by funding from Singapore’s National Medical Research Council, the Ministry of Education Singapore, the Agency for Science and Technology, and Duke-NUS Medical School. The authors declared no competing interests.

Publication Details

Paper Title: “Sex-specific trajectories of nonlinear immune aging at single-cell level”

Authors: Harry Park, Nina Le Bert, Antonio Bertoletti, Nicholas Tolwinski, Jan Gruber, and Jacques Behmoaras, with Jacques Behmoaras as corresponding author.

Author Affiliations: Duke-NUS Medical School in Singapore and the National University of Singapore

Journal: Nature Communications (volume 17, article number 10008, 2026).

DOI: 10.1038/s41467-026-76737-4

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