The same metabolic fingerprints that mark a long or short human lifespan now appear in dogs, according to new research from the Dog Aging Project—a finding that could reshape how scientists study aging across species.
In a study published in The Journals of Gerontology, researchers led by Dr. Kate Creevy, chief veterinary officer for the Dog Aging Project and a professor at Texas A&M College of Veterinary Medicine and Biomedical Sciences, discovered that patterns of metabolites—the small chemicals and molecules produced during normal bodily processes—predict canine mortality in ways strikingly similar to humans. The team examined blood samples from dogs enrolled in the Dog Aging Project, a community science initiative that collects detailed health information and biological samples from dogs throughout their lives. When researchers compared their canine findings with five large published studies of human mortality using similar metabolite-based approaches, the patterns linking earlier or later death aligned remarkably across all cases.
This convergence matters because metabolites reveal what is happening at the cellular level, offering researchers concrete biological clues about aging. Rather than scrutinizing individual molecules one at a time, the team examined thousands of metabolites at once to identify broader signals—what Creevy describes as a metabolic "fingerprint." These measurable biological signals, known as biomarkers, help anticipate health outcomes based on internal bodily processes. "The molecules that are risky for dogs or protective against a sooner death are very similar to those in people, showing that we share important features of aging biology, which is really interesting and rewarding," Creevy said. "Our findings also highlight the value of pet dogs as a model for studying long-term health and lifespan."
The research sidesteps one of aging science's thorniest challenges: defining what constitutes aging itself. Creevy notes that death offers an unambiguous outcome—"It is very easy to tell when a person or a dog has died, whereas other features of aging health are a bit more nuanced." By starting with this clarity, researchers can work backward to identify the biological processes influencing aging: metabolism, inflammation, how cells respond to stress.
Yet the discovery of shared metabolic patterns carries an important caveat. These biomarkers do not necessarily cause the outcomes linked to them; they are signposts, not mechanisms. Understanding why a biomarker appears might reveal the actual driver of that relationship—and therefore suggest an intervention. As Creevy explains: "If we understand why that biomarker is present, we may be able to identify what the cause of the relationship is."
Dogs hold particular promise for aging research because their lives mirror their owners' in ways few other animals do. They share human environments, diets, and activity patterns. Cats, by contrast, maintain more independent lifestyles. Dogs also age much faster than humans, allowing researchers to study the full arc of aging within years rather than decades. That speed, combined with their shared lives and varied lifestyles, makes dogs an invaluable living laboratory. The consistency of metabolic patterns across dog and human studies suggests researchers can now leverage decades of human aging research to benefit canine companions—while using dogs to deepen understanding of aging itself in both species.