Pasta Tool Uncovers Cellular Biological Age and Longevity
Understanding cellular biological age provides crucial insights into how human tissues deteriorate over time. While chronological age simply tracks calendar years, individual cells often age at markedly different velocities. To address this challenge, researchers from Karolinska Institutet and Stockholm University developed Pasta, a versatile transcriptomic aging tool.
How Pasta Measures Cellular Biological Age
Traditional aging clocks frequently rely on narrow datasets or single tissue types. In contrast, researchers trained Pasta on gene activity profiles from over 17,000 healthy human tissue samples. Consequently, the tool accurately calculates biological wear across diverse cell types and laboratory platforms.
Furthermore, the model identifies key transcriptomic signatures of cellular stress and DNA damage. Cells with advanced biological age consistently display heightened activity in stress-response pathways. In addition, the algorithm reliably distinguishes older senescent cells from youthful stem cells.
Screening Therapeutic Candidates for Longevity
Beyond estimating cellular biological age, the platform helps researchers identify substances that alter cellular lifespan. Specifically, investigators used Pasta to screen more than three million gene profiles exposed to various pharmacological compounds.
Through this large-scale analysis, the team identified distinct molecules that either accelerate or reverse cellular aging. For example, laboratory tests confirmed that pralatrexate accelerated cellular senescence. Conversely, the natural compound piperlongumine promoted a more youthful transcriptomic profile in human cells.
Clinical Relevance and Future Prospects
Aging remains the primary underlying risk factor for cardiovascular disorders, neurodegeneration, and various cancers. Therefore, discovering reliable biomarkers of cellular decline can significantly accelerate anti-aging drug discovery.
However, scientists emphasize that current validations rely strictly on cell-based models. As a result, robust preclinical studies and clinical trials remain essential before developing patient therapies. Nonetheless, this open-access tool offers clinicians and researchers a powerful method to study disease progression.
Frequently Asked Questions
Q1: What is the Pasta tool?
Pasta is an open-access transcriptomic clock developed to measure cellular biological age by evaluating gene activity patterns across diverse human tissues.
Q2: How does the tool differentiate between young and old cells?
The algorithm identifies heightened gene expression linked to DNA damage and cellular stress, allowing it to distinguish senescent cells from stem cells.
Q3: Can these findings immediately translate into anti-aging treatments?
No, because current experiments were conducted exclusively in cell cultures. Extensive translational research and clinical trials are required before patient application.
References
- Researchers develop tool to estimate biological age of cell - ETHealthworld
- Salignon J, Tsiokou M, Marqués P, Rodríguez-Diaz E, Ang H, Pietrocola F, Riedel CG. Pasta, a Versatile Transcriptomic Clock, Maps the Chemical and Genetic Determinants of Aging and Rejuvenation. Advanced Science. 2026.
- Karolinska Institutet. New tool measures the biological age of cells. Karolinska Institutet Press Release, August 2026.
