New tool measures the biological age of cells

Researchers at Stockholm University and Karolinska Institutet have developed a new tool that estimates a cell’s biological age by analysing its gene activity. In the journal Advanced Science, they also demonstrate how the tool can be used to identify substances that influence cellular ageing.

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“Reliably determining the biological age of cells has long been a major challenge. We can now do this using gene expression data – a type of data that is already routinely generated in many research studies. I believe we are thus entering a new era in which biological age can be used as an experimental measure in many different types of studies,” says Christian Riedel, professor at Stockholm University and a senior researcher at the Department of Medicine, Huddinge, Karolinska Institutet.

Calculates a cell’s biological age

Ageing is a major risk factor for many diseases, but there is still a lack of methods that can reliably measure how quickly cells age. In the new study, the researchers present Pasta, a freely available tool that calculates a cell’s biological age based on which genes are active or inactive. To develop the tool, the researchers analysed gene activity data from more than 17,000 tissue samples taken from healthy people. The model was then tested on several independent datasets.

“Pasta opens up entirely new possibilities for understanding the mechanisms behind ageing and for systematically searching for genes and substances that can influence it,” says Christian Riedel.

Reveals what drives ageing

“Previous tools for measuring biological age often only work for a single tissue or type of data, which limited their usefulness. We built Pasta to be broadly applicable across many tissues, cell types and laboratory techniques, so that all research groups can apply it to the data they already have. “With this tool, we can track how cells change over time and gain insights into the mechanisms driving ageing,” says lead author Jérôme Salignon, a researcher at the Department of Medicine, Huddinge, Karolinska Institutet.

The researchers observed that cells with high biological age often exhibited increased activity in genes linked to DNA damage and cellular stress. The tool was also able to distinguish between older, so-called senescent cells*, and more youthful, stem cell-like cells.

*Senescent cells are old or damaged cells that have stopped dividing but do not die. They are sometimes called ‘zombie cells’.

Identifies substances that influence ageing

In the next stage, Pasta was used to analyse more than three million gene profiles from public databases where cells had been exposed to thousands of drugs and genetic alterations. The analysis identified substances and biological signalling pathways that appeared to increase or decrease the cells’ biological age. Some of the results were subsequently confirmed in laboratory experiments on human cells.

“The tool can help us identify candidates for future treatments of age-related diseases and cancer. In laboratory experiments, we validated two new candidates: pralatrexate, which accelerated cellular ageing, and piperlongumine, which made the cells more youthful. However, our results are based on cell-based experiments, so further research is needed before they can be translated into treatments for patients, ” says Jérôme Salignon.

*Pralatrexate is a type of chemotherapy drug used to treat a certain type of blood cancer.
*Piperlongumine is a substance that is not yet an established treatment in humans, but is being studied for its potential to affect how cells age.

The research was done in a collaboration between Christian Riedel’s team at Stockholm University and the team of Federico Peitrocola at Karolinska Institutet.

Find the study in Advanced Science

(Based on an article published by Karolinska Institutet.)

Last updated: 2026-08-21

Source: Communications Office