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Aging in Dogs: Insights from Research

New studies reveal how dogs age and what it means for their health.

Daniel E. Promislow, B. R. Harrison, M. Partida-Aguilar, A. Marye, D. Djukovic, M. Kauffman, M. D. Dunbar, B. L. Mariner, B. M. McCoy, Y. M. Algavi, E. Muller, S. Baum, T. Bamberger, D. Raftery, K. E. Creevy, Dog Aging Project Consortium, A. Avery, E. Borenstein, N. Snyder-Mackler

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Aging is a natural process that affects all living beings, including our beloved companion dogs. Recent studies have looked at how dogs age and have revealed interesting information about their health and longevity. Understanding the aging process in dogs can help improve their quality of life and offer insights that might even apply to humans.

The Role of Companion Dogs in Aging Research

Companion dogs are more than just pets; they can serve as valuable models for studying aging. Dogs vary greatly in size, breed, and behavior, and they also show different patterns of aging. Some breeds have longer lifespans than others, making them excellent subjects for research. By studying the aging process in dogs, scientists can learn about the general principles of aging and how to promote healthy aging in both dogs and humans.

Variations in Aging Among Dog Breeds

Not all dogs age the same way. For example, larger breeds, such as Mastiffs, tend to have shorter lifespans compared to smaller breeds, like Pomeranians. This variation presents researchers with a unique opportunity to examine different aging processes. By understanding the factors that contribute to these differences, researchers hope to identify ways to enhance health and longevity across all breeds.

Importance of Real-World Studies

Many studies on aging are conducted in laboratories, but these environments do not always reflect what happens in real life. Dogs live in homes, experience various environments, and have access to healthcare just like humans. This makes them ideal for studying aging in a more natural setting. The Dog Aging Project aims to gather data from thousands of dogs across the United States to better understand how aging operates in real-world conditions.

The Dog Aging Project

The Dog Aging Project (DAP) is a long-term study that began enrolling dogs in 2020. The goal of this project is to identify patterns of aging in dogs and understand the genetic and environmental factors that influence their health as they age. By gathering detailed information from dog owners through surveys and veterinary records, researchers aim to create a comprehensive database that can be used to uncover important insights about dog aging.

Exploring the Dog Metabolome

One of the areas of focus in aging research is the metabolome, which is the collection of small molecules in the body. These metabolites can provide clues about various biological processes and are influenced by age, Diet, and genetics. Researchers have found that certain metabolites change as dogs get older, which may help identify biomarkers-indicators of biological state-that are associated with aging.

Study of Metabolites in Dogs

In a recent analysis of plasma samples from a specific group of DAP dogs, researchers identified several metabolites that are linked to age. These metabolites included acylcarnitines, indole derivatives, and modified amino acids. The study showed that aging in dogs is associated with changes in these metabolites, and some of these changes mirror what is seen in humans. This suggests that the dog model can be beneficial for understanding aging in general.

Characteristics of the Precision Cohort

The Precision Cohort is a special group of dogs within the Dog Aging Project. This group was specifically chosen to reflect the diversity found in the overall dog population. Researchers are collecting data from various breeds, ages, and living environments to ensure that they capture a wide range of biological variability. This diversity enhances the study's ability to identify important factors that influence aging.

The Method of Collecting Plasma Samples

Blood samples are collected from dogs participating in the study to analyze their plasma metabolome. This analysis helps researchers measure the levels of different metabolites present in the blood, providing insights into their overall health and aging processes. Care is taken to ensure that the samples are processed properly to maintain their integrity for analysis.

Analysis of Plasma Metabolome

Researchers analyzed a specific set of metabolites in the plasma of Precision Cohort dogs to study their associations with age. They found that over a third of the metabolites measured were linked to aging. This connection is significant because it highlights specific biological changes that occur as dogs grow older. Understanding these changes can lead to better management of aging in dogs and provide clues for similar processes in humans.

Role of Kidney Function in Aging

The kidneys play an essential part in filtering waste products from the blood. As dogs age, their kidney function may decline, affecting the levels of certain metabolites in their plasma. Researchers found that the presence of certain modified amino acids in older dogs' plasma is closely related to kidney function markers. This suggests that monitoring kidney health may provide valuable information about the aging process.

Impacts of Diet on Aging

Diet also significantly impacts aging and health in dogs. The types of food dogs consume can influence their metabolome and, by extension, their overall health. Researchers have looked at the dietary habits of the dogs in the study and found that some metabolites associated with aging were affected by diet. Understanding the relationship between diet and aging will help dog owners make informed choices about their pets’ nutrition.

The Importance of Longitudinal Studies

Longitudinal studies, which follow subjects over time, are essential for gaining deeper insights into aging. While the current research provides valuable snapshots of aging through cross-sectional data, it will be important for the Dog Aging Project to continue gathering information on individual dogs as they age. This approach will help researchers identify trends and changes that occur over time, leading to more comprehensive knowledge of aging.

Summary of Findings

The investigation into the plasma metabolome of dogs has revealed significant associations between age and specific metabolites. The study found that nearly 40% of the metabolites measured were linked to aging. This information is crucial as it can lead to better understanding the physiological changes that occur in dogs as they grow older.

Future Directions in Dog Aging Research

As the Dog Aging Project progresses, researchers will focus on monitoring the longitudinal data they collect. By analyzing how the metabolites change in individual dogs over time, they hope to identify potential biomarkers of healthy aging. Additionally, studies will explore how various factors-genetic, environmental, and dietary-affect the aging process.

Conclusion

The aging process in dogs offers a unique perspective on understanding health and longevity. Through the Dog Aging Project, researchers are gaining insights that could improve the lives of dogs and potentially offer lessons applicable to humans. The findings regarding the metabolome and its connections to aging underscore the importance of ongoing research into the complexities of biological aging. With continued study, we can better support our canine companions as they age and possibly discover strategies for healthier, longer lives.

Original Source

Title: Protein catabolites as blood-based biomarkers of aging physiology: Findings from the Dog Aging Project

Abstract: Our understanding of age-related physiology and metabolism has grown through the study of systems biology, including transcriptomics, single-cell analysis, proteomics and metabolomics. Studies in lab organisms in controlled environments, while powerful and complex, fall short of capturing the breadth of genetic and environmental variation in nature. Thus, there is now a major effort in geroscience to identify aging biomarkers and to develop aging interventions that might be applied across the diversity of humans and other free-living species. To meet this challenge, the Dog Aging Project (DAP) is designed to identify cross-sectional and longitudinal patterns of aging in complex systems, and how these are shaped by the diversity of genetic and environmental variation among companion dogs. Here we surveyed the plasma metabolome from the first year of sampling of the Precision Cohort of the DAP. By incorporating extensive metadata and whole genome sequencing information, we were able to overcome the limitations inherent in breed-based estimates of genetic and physiological effects, and to probe the physiological and dietary basis of the age-related metabolome. We identified a significant effect of age on approximately 40% of measured metabolites. Among other insights, we discovered a potentially novel biomarker of age in the post-translationally modified amino acids (ptmAAs). The ptmAAs, which can only be generated by protein hydrolysis, covaried both with age and with other biomarkers of amino acid metabolism, and in a way that was robust to diet. Clinical measures of kidney function mediated about half of the higher ptmAA levels in older dogs. This work identifies ptmAAs as robust indicators of age in dogs, and points to kidney function as a physiological mediator of age-associated variation in the plasma metabolome.

Authors: Daniel E. Promislow, B. R. Harrison, M. Partida-Aguilar, A. Marye, D. Djukovic, M. Kauffman, M. D. Dunbar, B. L. Mariner, B. M. McCoy, Y. M. Algavi, E. Muller, S. Baum, T. Bamberger, D. Raftery, K. E. Creevy, Dog Aging Project Consortium, A. Avery, E. Borenstein, N. Snyder-Mackler

Last Update: 2024-10-21 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.10.17.618956

Source PDF: https://www.biorxiv.org/content/10.1101/2024.10.17.618956.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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