As seasonal influenza campaigns roll out globally each year, public health officials confront a persistent clinical challenge: Vaccines often fail to provide robust protection to older individuals. While the clinical decline in vaccine efficacy is well documented, the underlying molecular and cellular mechanisms have long remained elusive. To resolve this mystery, Claire Gustafson, an immunologist at the Allen Institute for Immunology, and her colleagues embarked on a massive effort to characterize how human immunity shifts over the course of a lifespan. Gustafson presented these insights in a webinar titled "Redefining Immunology Through Advanced Technologies," sharing how modern high-dimensional techniques are transforming translational research. The findings, published in Nature, demonstrated a surprising trend: Systemic inflammation, often termed inflammaging, is not the primary driver of aging in healthy immune systems.1 Instead, immune cells undergo programmed, chronological changes that alter their protective capacity independent of external inflammatory signals.
Key Takeaways
- The Human Immune Health Atlas: Researchers developed a high-resolution reference mapping 71 distinct immune cell subsets from healthy donors spanning three age groups.
- Nonlinear Reprogramming of T Cells: Longitudinal profiling of healthy adults following influenza vaccination revealed that T cells undergo robust, nonlinear transcriptional reprogramming with age.
- The Th2 Shift: Memory T cells in older adults skew toward a T helper 2 (Th2) phenotype, which impairs their ability to coordinate with B cells for antibody production.
- Independence from Inflammaging: This age-related reprogramming occurs independently of chronic cytomegalovirus infection or baseline systemic inflammation.
- Targeted Immunizations: These discoveries provide concrete biological targets for engineering more effective, age-specific vaccine formulas and adjuvants.
Mapping the Human Immune Health Atlas
To understand how the immune system changes over a lifespan, Gustafson and her team first established a baseline for healthy human immunity. In collaboration with clinical partners at the Benaroya Research Institute and the University of Pennsylvania, they tracked more than 96 healthy adults between 25–65 years of age (in two groups) over a two-year period, taking repeated blood samples before and after seasonal influenza vaccinations. They analyzed these samples using single cell RNA sequencing, proteomics, and spectral flow cytometry to construct the Human Immune Health Atlas.
To achieve this high-resolution profiling, the team leveraged advanced single-cell multiomics, including a tri-modal assay called TEA-seq, which simultaneously measures transcription, cell surface epitopes, and chromatin accessibility.
Initially, the team sequenced over 1.8 million peripheral blood mononuclear cells from 108 healthy pediatric and adult donors ranging from 11–65 years of age. Gustafson emphasized that deep sequencing this large dataset allowed them to detect rare subsets that other, lower-resolution databases missed. The completed reference atlas catalogs 71 distinct immune cell subsets categorized across hierarchical levels.
By making this comprehensive dataset and its associated interactive visualization tools freely available online, the Allen Institute has empowered immunologists globally to investigate the baseline complexity of the healthy human immune system.
The Nonlinear Transcriptional Reprogramming of T Cells

Claire Gustafson studies how the immune system contributes to vaccine vulnerabilities in older populations.
Steven Hurd
When analyzing the massive single cell dataset, Gustafson and her colleagues discovered that T cells are far more susceptible to age-associated changes than other immune populations. The team also analyzed samples from an immune aging cohort from ages 40–90 years from 234 healthy adult donors from single time points, which yielded more than 3.2 million PBMCs. Their investigation revealed that memory T cells undergo robust, nonlinear transcriptional reprogramming with age.
This reprogramming skews helper memory T cells toward a Th2 phenotype with age. While this phenotype typically activates innate immune responses, its emergence in older memory T cells disrupts adaptive immunity. Specifically, the Th2 bias impairs the cells' ability to interact with B cells, which are responsible for generating protective antibodies. When memory T cells fail to deliver clear molecular instructions, B cells struggle to mount an effective defense against highly boosted vaccine antigens. Consequently, even when a vaccine exposes the body to the correct viral components, the aged cellular machinery cannot establish robust immune memory.
To illustrate these cellular differences, the researchers compared baseline immune characteristics and vaccine-induced dynamics between younger and older cohorts.
Immune Parameter | Younger Adults | Older Adults |
Memory T Cell Phenotype | Balanced helper state | Skewed Th2 bias |
B Cell Coordination | High; memory T cells actively train B cells | Low; memory T cells fail to coordinate B cells |
Antibody Function | Robust response against vaccine antigens | Decreased response to boosted antigens |
Core Naive CD8+ T Cells | Abundant circulating populations | Significantly depleted populations |
Systemic Inflammation | Absent baseline inflammation (healthy state) | Absent baseline inflammation (healthy state) |
This detailed comparison underlines a key takeaway of the study: Chronological aging drives cellular changes in the absence of chronic inflammatory diseases.
Customizing Future Immunizations
Pinpointing this specific T cell reprogramming opens up exciting avenues for clinical translation. Rather than using a one-size-fits-all vaccination strategy, researchers can now design targeted, age-specific vaccine formulas. Gustafson expressed hope that researchers worldwide will utilize this dataset to uncover deeper dimensions of human immunity and develop therapies that protect vulnerable populations across their entire lifespans.
Use of AI Declaration: This article was produced under The Scientist’s AI Editorial Policy.
- Gong Q, et al. Multi-omic profiling reveals age-related immune dynamics in healthy adults. Nature. 2025;648(8094):696-706.














