Abstract
Importance
Advances in preventive care, nutrition, and veterinary specialization have extended the lifespan of companion animals, creating a clinical need to optimize healthspan in geriatric dogs and cats. This review synthesizes current geroscience evidence, highlighting the biological mechanisms—mitochondrial dysfunction, inflammaging, and cellular senescence—that contribute to multiple chronic diseases, and identifies practical, evidence-based interventions to mitigate these processes.
Observations
Analysis of longitudinal cohort studies, including the Dog Aging Project and the Golden Retriever Lifetime Study, confirms that genetics, environment, and lifestyle interact to shape aging trajectories. Data from medical record and insurance databases demonstrate increasing longevity but with marked breed- and size-associated disparities. Preventive strategies supported by robust evidence include nutritional modulation (caloric restriction, macronutrient balancing, bioactive compounds), pharmacologic agents (mammalian target of rapamycin inhibitors, senolytics), and lifestyle interventions (structured exercise, rehabilitation, cognitive enrichment). Integrative multimodal care—combining dietary, physical, medical, and environmental strategies—consistently delays frailty, reduces late-life illness duration, and sustains functional independence. Successful long-term outcomes rely heavily on caregiver engagement and adherence, facilitated by education and shared decision-making.
Conclusions and relevance
Veterinary geroscience reframes aging as a modifiable process, offering translational insights aligned with the One Health concept. Standardized aging assessments, increased feline-specific research, and international longevity surveillance are needed to refine precision geriatric care. Applying coordinated, data-driven interventions in clinical settings can enhance both lifespan and quality of life in aging pets, with potential to inform human aging strategies.
Keywords: Companion animals; longevity; preventive care; nutritional sciences, veterinary; one health
INTRODUCTION
As longevity continues to increase among companion animals, veterinary medicine is entering a new era—one that moves beyond managing age-associated diseases to actively modulating the underlying biological processes of aging. Traditional geriatric care has emphasized treatment of chronic conditions after diagnosis; however, a paradigm shift is underway toward anticipatory, systems-level approaches that aim to preserve physiological function, delay disease onset, and extend healthspan [1,2].
Geroscience offers a compelling framework for this transition. Rather than viewing diseases in isolation, this discipline posits that aging itself is a primary driver of multiple chronic pathologies. In humans and laboratory animals, targeting upstream aging mechanisms—such as mitochondrial dysfunction, cellular senescence, and chronic inflammation—has delayed or even reversed age-related decline [3,4]. Given the prevalence of multimorbidity and functional deterioration in aging pets, this model holds strong translational potential for veterinary practice [5].
Large-scale longitudinal studies, including the Dog Aging Project (DAP) and the Golden Retriever Lifetime Study (GRLS), are generating valuable data on genetic, environmental, and behavioral factors influencing healthy aging in companion animals. Electronic medical record (EMR) and insurance databases document increasing longevity, with notable breed- and size-related disparities. These initiatives are enabling the identification of aging biomarkers, breed-specific vulnerabilities, and optimal windows for intervention—tools that support personalized, evidence-based geriatric care [6,7].
Clinical applications are beginning to reflect this evolution, with strategies such as nutritional modulation, controlled physical activity, environmental enrichment, and pharmacologic interventions—including mammalian target of rapamycin (mTOR) inhibitors and senolytics—being explored [8,9]. Nonetheless, the integration of geroscience into routine veterinary care remains inconsistent and in early stages [8,9].
Building upon our companion article’s overview of aging biology, this review focuses on the clinical translation of geroscientific principles. We present data-driven strategies to monitor, predict, and positively influence aging trajectories, reframing aging not as an inevitable decline, but as a modifiable and therapeutically actionable process [3,10].
METHODS
This narrative review synthesizes current evidence on geroscience, longevity trends, and anti-aging strategies in companion animals, with a focus on clinical application. Literature was identified through PubMed, Scopus, and Web of Science, emphasizing peer-reviewed studies, longitudinal cohorts, and clinical trials in dogs, cats, and relevant translational models.
Primary sources included longitudinal studies, EMR datasets, and insurance-based analyses, supported by veterinary reports and epidemiologic surveys. Anti-aging approaches were assessed from mechanistic basis to clinical outcomes, focusing on nutrition, caloric restriction (CR), macronutrient balance, targeted nutraceuticals, pharmacologic agents, rehabilitation, and caregiver engagement. Comparative perspectives were framed within the One Health model to connect veterinary and human geroscience.
During manuscript preparation, ChatGPT-4o (OpenAI, USA) was used for grammar correction, stylistic refinement, and content organization. The authors take full responsibility for the accuracy, scientific integrity, and referencing of all AI-assisted content.
OBSERVATIONS
Advances in preventive care, nutrition, and veterinary specialization have extended the lives of dogs and cats, shifting focus from reactive treatment to proactive, healthspan-centered care. Geroscience views aging as a modifiable driver of chronic disease, targeting pathways such as mitochondrial dysfunction, cellular senescence, and chronic inflammation to delay frailty and functional decline. Section 1 highlights healthspan as a clinical goal, integration of translational geroscience into the One Health model, and the move toward anticipatory, personalized geriatric care. It reviews major canine aging studies—the DAP and the GRLS—and analyzes longevity trends from historical, EMR, and insurance data, noting disparities by breed and size. Section 2 outlines anti-aging strategies in veterinary practice, including nutritional approaches, pharmacological options, and lifestyle measures. It underscores caregiver engagement and multimodal care to sustain vitality, delay disease, and improve quality of life. Two graphical summaries have been included to visually synthesize the key concepts and take-home messages of this review, facilitating reader understanding of the biological mechanisms, clinical implications, and evidence-based interventions in veterinary geroscience (Fig. 1).
Fig. 1. Conceptual framework of geroscience-informed strategies in dogs and cats. Aging mechanisms (mitochondrial dysfunction, inflammaging, cellular senescence, epigenetic changes) contribute to frailty and chronic disease. Evidence-based interventions --nutritional modulation, lifestyle and structured exercise, pharmacologic agents, and integrative multimodal care --can delay frailty, reduce illness duration, and improve quality of life.
Section 1: Geroscience and aging care for life expectancy increasing in pets
Healthspan and translational geroscience
Healthspan refers to the period of life during which an individual maintains functional independence, physiological integrity, and quality of life—distinct from mere lifespan, which denotes the total duration of life [10]. In companion animals, extending healthspan is increasingly prioritized by veterinarians and pet owners alike as pets live longer due to improved preventive care and nutrition [2]. While lifespan extension can be achieved with medical intervention, it is healthspan that truly matters in geriatric veterinary medicine, ensuring animals age with mobility, cognitive function, and emotional wellbeing preserved [11].
Translational geroscience: the One Health model
Translational geroscience is rooted in the hallmarks of aging: genomic instability, telomere attrition, epigenetic alterations, mitochondrial dysfunction, cellular senescence, and altered intercellular communication [3,12]. The objective is to target these hallmarks through interventions that delay systemic degeneration, prevent disease or delay onset, and optimize functional longevity [10]. This strategy, long explored in biogerontology, is now entering companion animal medicine, with growing interest in applying dietary, pharmacologic, and environmental interventions to extend healthspan in aging pets [6].
Geroscience aligns naturally with the One Health model, which recognizes the interdependence of human, animal, and environmental health [13]. Studies in dogs and cats can inform, and be informed by, human aging research—creating a bidirectional pipeline of discovery [6]. This comparative framework allows for testing of anti-aging interventions (e.g., CR, senolytics, rapamycin) in a clinically relevant species before human translation, while concurrently enhancing geriatric veterinary care [5]. Understanding and extending healthspan—not just lifespan—is the new frontier in companion animal aging care [6]. By adopting translational geroscience principles and viewing dogs and cats as integrated aging models, veterinarians are poised to lead a new era of proactive, life-quality-centered care [6]. This vision aligns with the One Health model, ensuring that advances in aging science benefit not only humans, but also the animals that share our homes and lives [13].
Paradigm shift in veterinary geriatrics
Veterinary geriatric medicine is undergoing a paradigm shift: from treating diseases as they occur, to proactively maintaining vitality and delaying frailty through early screening, lifestyle modification, and strategic therapies [1]. This shift emphasizes prevention, personalization, and preservation—mirroring trends in human longevity medicine [1]. Clinicians are encouraged to assess not only age in years but biological aging markers (e.g., sarcopenia, immune function, metabolic status), facilitating individualized healthspan plans for aging pets [14]. Biologic markers of aging, such as telomere length, are expected to be available for clinical use.
Preliminary findings from longitudinal aging studies in dogs
1) Comparative insights and clinical implications from DAP and GRLS
The DAP and the GRLS represent the two most comprehensive canine aging cohorts established to date [6,7]. While distinct in design—DAP as a large-scale, multi-breed, environmental aging cohort and GRLS as a breed-specific, cancer-focused longitudinal study—their shared goals have yielded invaluable complementary insights [15,16]. Both initiatives aim to understand how genetics, lifestyle, and environment influence disease onset, aging trajectories, and longevity [17,18]. Together, DAP and GRLS establish the viability and value of longitudinal cohort research in veterinary medicine [6]. Their complementary approaches offer insight into both shared and breed-specific mechanisms of aging and disease, with direct relevance to prevention, diagnosis, and personalized care [7]. As their datasets mature, these studies will not only improve the lives of companion animals but also enhance our understanding of aging in a broader One Health context [15].
2) Shared observations across aging cohorts
Several findings consistently emerge across both DAP and GRLS [6]. First, body size is a dominant predictor of lifespan and healthspan, with larger dogs demonstrating earlier onset of chronic conditions such as osteoarthritis, cardiac disease, and neoplasia [18]. Second, early-life factors—such as nutrition, social exposure, and neuter timing—appear to exert lasting effects on morbidity patterns [19]. Both studies also highlight the high prevalence in later life of age-associated conditions, including obesity, dental disease, and cognitive dysfunction.
3) Environmental and lifestyle risk factors
GRLS provides granular data on environmental chemical exposures and their correlation with cancer incidence in Golden Retrievers [7]. Meanwhile, DAP emphasizes owner lifestyle, household routines, urbanization, and physical activity patterns as contributors to health outcomes [15]. Both studies reinforce the idea that modifiable environmental variables play a substantial role in shaping aging phenotypes and disease risk [6].
4) Breed-specific vs. pan-breed insights
GRLS's strength lies in deep analysis of a genetically homogenous population prone to specific cancers, enabling high-resolution mapping of disease pathways [7]. DAP's power lies in diversity—across breeds, body sizes, and environments—which allows researchers to generalize findings and identify robust, cross-cutting risk patterns [15]. Together, they support both personalized veterinary medicine and population-level policy recommendations [6].
5) Clinical applications: from prediction to prevention
Insights from these cohorts are transforming veterinary practice [15]. Frailty indices developed in DAP, based on mobility, weight, behavior, and caregiver observations, may serve as screening tools for early intervention [20,21,22]. GRLS data on genetic susceptibility and toxin exposures guide clinicians in making breed-specific lifestyle recommendations [22]. These include adjusting neuter timing, modifying diet, and reducing exposure to household chemicals [19].
6) Integration into geriatric health plans
Veterinarians are now beginning to incorporate data from aging cohort studies into routine care for older pets [6]. Examples include using aging trajectory models to recommend the frequency of check-ups, tailoring nutrition plans based on activity level and breed size, and counseling pet owners about environmental enrichment and cognitive stimulation for aging brains [23].
7) Implications for feline and other species geriatrics
Although DAP and GRLS focus on dogs, their methods and findings offer a foundation for feline aging studies and other species-specific initiatives [24]. Cats, like dogs, experience chronic kidney disease (CKD), hyperthyroidism, and cognitive decline with age [25]. A future feline aging cohort could leverage lessons from DAP and GRLS to establish standardized assessments, aging biomarkers, and interventions relevant to the feline population [26].
Historical trends in pet longevity
Over the past five decades, anecdotal observations and owner narratives have suggested a notable increase in the life expectancy of companion animals [2]. Today’s pet owners commonly report their dogs and cats reaching their mid-teens and even early twenties—a marked contrast from previous generations [2]. Historically, the average lifespan of dogs in the 1970s and 1980s was often cited as 8–10 years, with large breeds averaging slightly less and small breeds occasionally exceeding 12 years [27]. For cats, especially those living outdoors or semi-independently, reported lifespans rarely surpassed 10 years [27]. These estimates were shaped by limited access to veterinarians who restricted their practice to care of companion animals, limited access to specialists, limited diagnostics especially for screening, inconsistent preventive care and accident-prone living conditions [2]. Several transformative developments in veterinary practice began to shift this trajectory [28,29,30]. The rise of preventive medicine—including routine vaccinations, deworming, and monthly parasite control—reduced mortality from infectious diseases like parvovirus, distemper, and feline leukemia [31,32]. The availability of veterinary specialists for referral and consultation. Improved nutrition through commercial diets, life-stage formulations, and therapeutic diets contributed to healthier growth and long-term organ protection [33]. The advent of spay-neuter campaigns in many countries not only curbed overpopulation but also conferred longevity benefits to pets [34]. Neutered pets were found to have lower rates of reproductive cancers, aggression-related injuries, and stray-related trauma.
1) Veterinary and cultural shifts
The human-animal bond itself has transformed significantly [35]. Companion animals are now viewed as family members, with owners investing in advanced diagnostics, chronic disease management, rehabilitation, and palliative care [35]. As a result, age-related diseases such as osteoarthritis, CKD, and cognitive dysfunction are now routinely diagnosed and managed [2,28,29]. Banfield’s data indicated that average feline life expectancy rose from 11.0 to 12.1 years between 2002 and 2012, while for dogs, it increased from 10.5 to 11.8 years. Small-breed dogs showed the greatest gains, likely due to their lower baseline risk for early-onset diseases and the availability of more geriatric-specific care [27,36]. It is worth noting, however, that the observed increases in average lifespan may reflect shifts in the age distribution of pets presenting to clinics, rather than true population-level longevity gains. EMR-based estimates, including Banfield’s, are susceptible to selection bias, particularly if more older animals are represented due to changes in owner behavior or veterinary care access over time [37,38].
The historical arc of pet longevity reflects a convergence of advances in preventive care, nutrition, veterinary technology and specialization, and client education [36]. Despite the positive trends in canine and feline longevity, these gains are not uniform [27]. Breed size remains a critical determinant, with giant breeds like Great Danes and Mastiffs still showing median lifespans of 6–8 years [27]. This size-dependent variation may provide insight into growth-hormone–linked aging mechanisms [39]. Additionally, some breeds are prone to serious conditions, likely genetic, that shorten the average lifespan of the breed. For example, Cavalier King Charles Spaniels are uniquely predisposed to myxomatous mitral valve disease (MMVD): over 50 % develop murmurs by age 5, and nearly all by age 10, making MMVD the leading cause of death in the breed [40] Reflecting this, their median lifespan is around 9.9–10 years, notably lower than related small breeds [41]. Similarly, Bernese Mountain Dogs face a high burden of histiocytic sarcoma (HS), a rapidly progressive and often fatal cancer: over half die of malignant tumors, and approximately one-seventh due to HS specifically. Median survival after diagnosis is typically measured in just months (e.g., 49 days), which substantially reduces average longevity; Swiss cohort data indicate a median lifespan of ~8.4 years [42,43].
EMR-based evidence of increasing longevity in dogs and cats
The increasing use of EMRs in veterinary practice has enable new insights into population-level health trends in companion animals. Among the most prominent is Banfield Pet Hospital, which operates more than 1,000 clinics across the United States and compiles anonymized health data from over 2.5 million dogs and cats annually. The 2013 Banfield State of Pet Health report emphasized the positive correlation between gonadectomy and longevity. Neutered male cats lived 62% longer than intact males, while spayed females lived 39% longer. For dogs, neutered males and spayed females lived 18% and 23% longer, respectively, compared to their intact counterparts. These findings suggest that sterilization not only contributes to population control but also provides measurable health and longevity benefits [44]. The report highlighted distinct trends by breed size. Small-breed dogs (e.g., Chihuahua, Dachshund) experienced the greatest increases in life expectancy. Large and giant breeds (e.g., Labrador Retrievers, Great Danes) showed more modest gains, often due to earlier onset of musculoskeletal and cardiac diseases [44]. However, interpretations should be made cautiously, since EMR-based longevity estimates—such as those derived from Banfield records—depend on the age at which pets are first presented to the clinic. This selection bias may lead to under- or over-estimation of true population lifespan, especially if animals are registered later in life or if recorded ages are estimates, thereby confounding the apparent longevity benefit attributed to sterilization [45].
1) Preventive care and chronic disease detection
Regular veterinary visits also play a crucial role in extending pet lifespans. Routine check-ups facilitate early diagnosis and management of chronic diseases, including CKD, endocrine disorders, and osteoarthritis [46]. Advancements in diagnostic tools, such as blood chemistry panels and imaging technologies, have enhanced the detection of these conditions. Moreover, increased owner awareness and the integration of EMRs have contributed to the routine consideration of conditions like osteoarthritis and cognitive dysfunction during geriatric wellness exams [47].
2) Limitations of EMR-based life expectancy estimates
Despite the scale and accessibility of EMR datasets, there are limitations to interpretation: 1) EMRs typically track ‘last recorded visit’ rather than confirmed mortality, which may overestimate lifespan if death is undocumented [27]. 2) The population using Banfield services may skew toward urban, insured, or more engaged owners, introducing socioeconomic bias [46]. 3) Breed registry and diagnostic coding inconsistencies may impact data granularity [27]. Efforts are underway to improve EMR-based lifespan estimation through natural language processing, integration with mortality registries, and predictive modeling using machine learning approaches [15,48].
3) Toward a global EMR-linked pet longevity surveillance model
Banfield’s EMR dataset remains one of the most comprehensive in veterinary medicine, offering a longitudinal view into evolving patterns of longevity, disease burden, and healthspan extension. Emerging platforms such as VetCompass (UK and Australia), Nationwide Pet Insurance EMRs, and Mars Petcare’s Pet Insight Project are expanding the landscape for EMR-based longevity analytics. Ultimately, coordinated EMR-based surveillance—analogous to human health record systems—could power precision aging research and guide clinical, nutritional, and behavioral interventions tailored to aging pets [15,48].
Insurance-based longevity data
Pet insurance companies have emerged as an important source of actuarial data for aging research in companion animals. Their databases contain detailed information on insured populations, including breed, age at policy inception, diagnoses, claims history, and mortality outcomes—offering a real-world window into longevity and disease burden [49]. Leading insurers such as Petsecure (Canada), Trupanion (USA), and Agria (Sweden) have published retrospective analyses based on large cohorts of insured dogs and cats. These datasets often span over a decade and enable age-standardized analysis by breed and health condition [50].
1) Survival trends in insured populations
Analyses of insurance databases show that insured pets generally live longer than non-insured populations—likely due to higher healthcare access, earlier diagnosis, and improved treatment compliance [49]. For example, Trupanion reported that dogs enrolled in insurance before age 2 lived on average 1.5 to 2.0 years longer than those insured later in life. A longitudinal study from Agria Insurance in Sweden found that neutered insured dogs had a median lifespan of 12.2 years, compared to 10.5 years in the general population. Similarly, insured cats lived nearly 2 years longer than shelter-derived averages [49].
2) Breed-specific mortality patterns
Insurance data facilitates breed-stratified mortality analysis. Large-scale actuarial reviews have identified lifespan variations by breed, sex, and size class [50]: 1) Toy and small breeds (e.g., Miniature Poodles, Yorkshire Terriers) consistently show the longest median lifespans, often exceeding 14 years [27]. 2) Brachycephalic breeds (e.g., Bulldogs, Pugs) demonstrate shorter lifespans and higher claim rates for respiratory and dermatologic diseases [51]. 3) Sighthounds (e.g., Greyhounds, Whippets) show a unique mortality pattern, with fewer claims overall but high cancer-specific mortality [52].
3) Limitations and future directions
While insurance databases are valuable, several caveats apply: 1) Selection bias: Owners who purchase insurance are more likely to be health-literate, affluent, and proactive [52]; 2) Policy duration bias: Shorter policies may under-report late-life conditions or mortality [52]; 3) Underreporting of euthanasia: Many death events, especially home euthanasia, may go unrecorded in insurance datasets [53]. Despite these challenges, insurance-linked longevity research is expanding. Machine learning models based on claim patterns are now being developed to predict healthspan trajectories and guide personalized risk stratification in aging pets [54].
Comparative perspectives: biological vs. chronological aging across species
1) Reducing late-life illness duration and healthspan comparisons
While dogs and cats share our environments and emotional bonds, their aging processes follow species-specific timelines [55]. Unlike laboratory rodents, companion animals age in heterogeneous environments, consume diverse diets, and develop spontaneous diseases, mirroring human conditions. This strengthens the external validity of veterinary aging studies [56]. In both humans and companion animals, the concept of reduces the time lived with illness near the end of life (a phenomenon often termed ‘compression of morbidity’) —delaying disease onset and reducing the duration of illness—is central to healthspan extension [57]. Studies in insured companion animals and well-managed senior dogs show that early interventions can delay disease onset and shorten the period of illness near the end of life, similar to patterns reported in humans with good healthcare access [56]. Emerging evidence suggests that cognitive decline, musculoskeletal degeneration, and metabolic syndromes follow similar patterns across species, though their onset varies with lifespan scaling [55].
2) Translational relevance of companion animal studies
The DAP and GRLS are unique in bridging human and animal geroscience. These cohorts have adopted methodologies from human longitudinal studies (e.g., Framingham, Nurses' Health Study), including environmental, nutritional, and behavioral data tracking [6]. DAP’s “Healthspan Metrics” initiative aligns canine assessments with human frailty indices, enabling cross-species comparison of functional aging trajectories [58]. Moreover, the TRIAD trial’s use of rapamycin in middle-aged dogs mirrors human anti-aging trials targeting mTOR, suggesting a shared mechanistic substrate [5].
3) Opportunities for comparative longevity innovation
Insights from companion animal aging research may inform human interventions, particularly in real-world testing of CR, senolytics, and personalized aging clocks [59,60]. Conversely, established human aging frameworks (e.g., Blue Zones, Mediterranean diet, regular exercise and epigenetic clocks) are now being adapted into veterinary care models. The One Health concept reinforces this comparative framework, promoting integration across species for mutual benefit in aging research and care [61].
Future research priorities in longevity surveillance
Despite increasing interest in pet longevity, current surveillance of lifespan and age-related disease trends in companion animals remain fragmented [62]. There is no centralized system akin to the Centers for Disease Control and Prevention’s National Vital Statistics System for pets, making cross-cohort comparison and trend validation difficult [62]. Veterinary EMRs provide large datasets, but their utility is often constrained by inconsistent coding, variable data quality, and limited longitudinal linkage [63]. To address these limitations, standardized veterinary data ontologies and a pet-specific mortality registry—integrated across EMRs, insurance databases, and research cohorts—are urgently needed [62].
1) Underrepresentation of cats in longevity studies
Most longitudinal aging studies, including the DAP and the GRLS, focus exclusively on dogs [64]. There is a critical gap in feline aging research. Given the different metabolic profiles, disease susceptibilities, and aging phenotypes of cats, cat-specific longevity surveillance systems are essential [64]. Comparative studies in cats could reveal unique biological aging signatures and facilitate the development of feline-optimized geriatric screening protocols, interventions, and dietary strategies [65,66].
2) Ethical and analytical challenges
Unlike human mortality tracking, pet lifespan data often lack precise cause-of-death reporting [62]. Euthanasia decisions—often based on quality-of-life metrics—complicate mortality interpretation. Thus, future surveillance efforts must incorporate standardized euthanasia coding and context-sensitive outcome definitions [67]. Ethical considerations also arise in applying predictive analytics. Algorithms designed to forecast lifespan or frailty risk must be transparent, validated, and avoid misclassification that could bias treatment or end-of-life decisions [68].
3) Advancing analytical tools and biomarkers
Future longevity surveillance will be enhanced by integrating molecular aging biomarkers (e.g., DNA methylation clocks, telomere length, p16INK4a), wearable-derived metrics (activity, gait, sleep), and owner-reported quality-of-life indices into health records [69]. AI-driven modeling can synthesize this multimodal data to build individualized aging trajectories, detect early deviation from healthy baselines, and identify sentinel signs of decline [70]. Standardized frailty indices and healthspan scoring tools are needed for routine clinical use—paralleling human instruments like the Clinical Frailty Scale or SF-36 [71].
4) Global collaboration and open science
Collaborative databases such as VetCompass, PetSAGE, and the DAP’s Terra portal represent promising models for open-access veterinary geroscience research [72]. Global integration of EMR systems and cross-institutional harmonization of data fields will enable large-scale meta-analyses, increasing statistical power and reducing regional bias [73,74]. Veterinary colleges, insurers, and public health agencies must partner to create robust infrastructure for life-course surveillance in pets [75].
Section 2: Anti-aging strategies in companion animals
Veterinary application of anti-aging concepts: preventive approaches and delaying disease expression
Aging in companion animals is no longer regarded as a passive, unmodifiable process [1]. In veterinary medicine, anti-aging strategies are increasingly framed not as attempts to prevent aging itself, but to extend healthspan [25,76]. Traditionally, veterinary medicine has focused on chronological aging, defining life stages by arbitrary age thresholds [77]. However, emerging evidence supports a biological aging model, where functional and molecular indicators—such as immune dysregulation, oxidative stress, mitochondrial dysfunction, and cognitive decline—precede overt clinical disease [78,79]. Recognizing this distinction allows for more timely and proactive medical interventions [25]. Modern anti-aging veterinary approaches embrace a preventive paradigm: rather than merely treating illness, the goal is to delay its onset or mitigate its severity by targeting aging-associated mechanisms before clinical signs appear [77]. This includes addressing subclinical inflammation ('inflammaging'), maintaining muscle mass to prevent frailty, preserving cognitive function, and sustaining immunological resilience [25]. Anti-aging in this context is not an abstract ideal—it represents an actionable, integrative approach to functional aging management in clinical practice.
1) Extending healthspan over lifespan
While increased lifespan is often viewed as a success, it must be interpreted alongside healthspan. Prolonging life without maintaining physiological function can lead to extended periods of disability and reduced quality of life [1]. Veterinary anti-aging frameworks aim to optimize both quality and quantity of life, acknowledging that the last third of an animal’s life often sees the greatest disease burden if proactive care is not implemented.
2) Early intervention and predictive geriatric medicine
Predictive and preventive strategies are central to veterinary anti-aging medicine. Routine screening of blood markers, nutritional status, cognitive function, and mobility should begin during the pre-senior stage, particularly in high-risk breeds. Integration of tools such as epigenetic clocks, telomere length assays, metabolomics, and body composition analysis may allow for individualized aging risk profiles in the near future. By intervening before irreversible pathology sets in, clinicians can redirect the aging trajectory and shorten the period of illness near the end of life. into a shorter end-of-life window [1].
3) Practical clinical integration and toward standardized guidelines
By positioning anti-aging as a mainstream framework in veterinary medicine, we can shift from reactive disease control to proactive healthspan extension in senior dogs and cats [78]. In clinical settings, anti-aging medicine can be operationalized through: annual or biannual senior health screenings; nutritional optimization and personalized feeding plans; routine dental care and early orthopedic evaluation; behavioral assessments for cognitive and emotional decline; and client education emphasizing lifestyle factors and proactive aging care [23]. Protecting mobility, minimizing stress, and preserving lean mass are foundational anti-aging principles already within the veterinarian’s toolkit [23]. A growing body of translational research from human geroscience and canine aging studies highlights the urgent need to codify veterinary geriatric standards that align with anti-aging goals [6]. Professional bodies will need to develop clinical guidelines that incorporate early risk detection, multimodal preventive care, and validated tools for aging assessment [23].
Nutritional modulation of aging in companion animals
1) Nutrition as a modifiable factor in aging
Nutrition is a key, modifiable determinant of aging in humans and companion animals [77]. Geroscience research shows that CR, optimized macronutrient balance—especially protein—and bioactive compounds can influence molecular hallmarks of aging and extend healthspan [80]. In veterinary medicine, nutrition serves as both a preventive and therapeutic approach to slow functional decline and reduce age-related disease burden [77].
2) CR and dietary strategies
CR, defined as reduced calorie intake without malnutrition, is a well-established intervention prolonging lifespan from yeast to primates [81]. Its relevance is growing in dogs and cats, where obesity and metabolic syndromes are common [82]. CR suppresses insulin/IGF-1 signaling, downregulates mTOR, activates sirtuins and AMPK, enhancing autophagy, mitochondrial function, and oxidative stress resistance [3,83], while reducing “inflammaging” and insulin resistance [84].
3) Evidence from canine CR studies
In a 14-year study, Labrador Retrievers fed 25% fewer calories lived nearly 2 years longer, with delayed onset of osteoarthritis and cancer [85]. They maintained lower body fat, better insulin sensitivity, and less inflammation [86]. Implementation must consider timing, degree, and nutrient composition [2].
4) CR and intermittent fasting
CR without malnutrition has been shown to increase lifespan and delay disease onset in multiple species, including dogs [85]. In the landmark Purina study, Labrador Retrievers fed 25% fewer calories than their littermates lived, on average, 1.8 years longer than their non-calorie restricted littermates on the same diet, and exhibited delayed onset of osteoarthritis and other chronic diseases [85]. Mechanistically, CR downregulates mTOR signaling, enhances autophagy, reduces oxidative damage, and improves insulin sensitivity—all of which contribute to cellular resilience and extended healthspan [87]. Intermittent fasting protocols (e.g., time-restricted feeding or 5:2 approaches) are also being explored in dogs and cats, with preliminary evidence suggesting metabolic and anti-inflammatory benefits [88]. The "5:2" approach typically refers to a regimen where normal caloric intake is maintained for five days of the week, while significant CR (e.g., 25%–30% of usual intake) is applied on the remaining two non-consecutive days. However, adaptation must consider species-specific feeding behavior, protein turnover, and the risk of sarcopenia, especially in aging cats [2].
5) CR-mimicking dietary strategies
Full CR is difficult to implement in clinical practice due to concerns about nutrient adequacy, owner compliance, and the potential for muscle loss in older animals [2]. As such, veterinary nutrition has turned to CR-mimicking diets, such as: Moderate protein, low glycemic-index carbohydrates, and controlled fat for metabolic control; Intermittent fasting or time-restricted feeding to replicate metabolic cycles seen in CR; Nutrient-dense, lower-calorie diets with antioxidant and anti-inflammatory support [89]. These strategies aim to reproduce the molecular benefits of CR without the drawbacks of chronic caloric deprivation [83].
6) Preventive benefits for aging-associated diseases
CR and its mimetics show promise in delaying or mitigating numerous aging-related conditions. These include: osteoarthritis, by reducing inflammatory load and preserving lean mass; diabetes mellitus, by enhancing insulin sensitivity; CKD, through modulation of phosphorus intake and oxidative stress; cognitive decline, via improvements in mitochondrial health and neuroinflammation suppression [84]. In cats, where obesity and hyperthyroidism are both prevalent (though not necessarily concurrent), early caloric control may help reduce the overall endocrine burden, particularly by mitigating obesity—a known risk factor for several age-related disorders [2]. CR is not intended as a direct intervention for hyperthyroidism itself, but rather as a preventive strategy against obesity and metabolic strain that may exacerbate age-related endocrine dysregulation.
7) Clinical application and limitations
In geriatric patients, care must be taken to avoid frailty, muscle wasting, or hypoalbuminemia. CR is best employed as a preventive strategy in middle age, with geriatric regimens focusing on nutrient-rich but calorie-moderate formulations [90]. Patient selection, regular body condition scoring and muscle condition scoring (MCS), and individual metabolic assessment are essential for safe CR implementation. Moreover, caregiver education is vital—misunderstanding CR as starvation or underfeeding can lead to poor compliance. Collaborative planning with pet owners ensures long-term adherence and effective outcomes.
8) Future directions: personalized restriction models
Advances in metabolomics, nutrigenomics, and epigenetic clocks may allow for tailored CR protocols in the future, matching dietary restriction intensity to individual aging phenotypes [91]. Veterinary trials exploring CR mimetics (e.g., resveratrol, rapamycin, NAD+ precursors) are also under way, potentially offering pharmacological alternatives to strict dietary control [92].
Macronutrient profiles and aging pathways
The protein-to-carbohydrate ratio influences longevity pathways, notably the insulin/IGF-1 axis [93]. In rodents, low-protein, moderate-carbohydrate diets extended lifespan and reduced chronic disease [93]. While dogs and cats are obligate carnivores or facultative omnivores, similar metabolic effects may arise from adjusted macronutrient profiles [2]. In aging pets, high-quality protein with optimal leucine supports muscle maintenance, while controlled fat and carbohydrate help prevent obesity, dyslipidemia, and diabetes [2].
1) Dietary fiber and gut microbiota
Dietary fibers—particularly fermentable fibers like inulin or beet pulp—also play a role by modulating the gut microbiota and supporting short-chain fatty acid production, which impacts gut health, immunity, and inflammation [94].
2) Geroprotective nutrients and nutraceuticals
Nutrients with anti-aging effects now incorporated into senior pet diets include: omega-3s (eicosapentaenoic acid [EPA], docosa hexaenoic acid [DHA]) for reducing cognitive decline and inflammation [95]; L-carnitine and taurine for mitochondrial function, especially in feline cardiac aging [2]; coenzyme Q10 (CoQ10) and α-lipoic acid as mitochondrial antioxidants [96]; resveratrol, polyphenols, and flavonoids for activating SIRT1/Nrf2 pathways [97]; and vitamins D and K2 for musculoskeletal and vascular health [98]. These act on oxidative stress, senescence, epigenetic regulation, and telomere maintenance.
3) Individualized nutrition based on biomarkers
Nutrition remains one of the most practical, evidence-based tools to extend healthspan [2,99]. Precision feeding guided by biomarkers—such as MCS, bioimpedance analysis, and microbiota profiling—can tailor nutrient allocation and calories for each senior pet [2]. Diets may be customized for breed size, renal function, joint status, or cognition, such as phosphorus restriction for CKD or medium chain triglyceride enrichment for cognitive health [99,100].
4) Translational insights
Human dietary models like the Mediterranean, Dietary Approaches to Stop Hypertension (DASH), and Mediterranean-DASH Intervention for Neurodegenerative Delay diets—rich in plant antioxidants, omega-3s, and low glycemic load—parallel senior pet diets targeting frailty, cognitive decline, and cardiovascular aging [101,102,103]. Longevity-focused pet nutrition brands increasingly incorporate these principles to address aging pathways, microbiome balance, and immunometabolic health [103].
Nutritional supplements: antioxidants, omega-3, and mitochondrial support compounds antioxidants and cellular defense
Aging in dogs and cats involves oxidative stress, chronic inflammation, mitochondrial decline, and lipid dysregulation, making targeted nutraceuticals key to supporting cellular health [103,104]. Oxidative stress accelerates senescence, DNA damage, and protein oxidation [103]. Major antioxidants—vitamin E, vitamin C, selenium, CoQ10, and alpha-lipoic acid—act synergistically to neutralize free radicals and protect membranes [105]. Vitamin E reduces lipid peroxidation; vitamin C recycles vitamin E and boosts immunity; selenium supports glutathione peroxidase activity; CoQ10 aids mitochondrial electron transport; and alpha-lipoic acid regenerates antioxidants and chelates metals. Combined antioxidant therapy can reduce cognitive decline and support cardiovascular and renal health [106]. Omega-3 fatty acids, such as long-chain omega-3s (EPA, DHA) modulate inflammation, enhance membrane fluidity, and support neuronal signaling [107]. Benefits include improved cognition and reduced β-amyloid in cognitive dysfunction syndrome (CDS) [108,109,110,111,112], reduced proteinuria in CKD [113], decreased cartilage inflammation in osteoarthritis [114], and cardiovascular protection [115]. DHA-rich diets are particularly valuable for senior cats with underdiagnosed cognitive decline [108].
1) Clinical applications in geriatric pets
Numerous studies support the use of targeted nutraceuticals in aging dogs and cats. CDS: antioxidant blends (vitamin E/C, selenium, CoQ10) and DHA enhance memory and spatial awareness [106]. CKD: omega-3s and mitochondrial protectants help maintain glomerular filtration rate and reduce inflammatory cytokines [113]. Osteoarthritis and sarcopenia: Omega-3s and creatine help preserve muscle mass and joint integrity [114]. Combination therapies may produce additive benefits, but interactions and dosage must be carefully managed.
2) Safety, integration future directions in clinical nutrition
While generally safe, supplements should be tailored to patient condition, disease status, and concurrent medications [116]. Over-supplementation of fat-soluble vitamins or trace minerals can be harmful [117]. Monitoring clinical markers and conducting baseline screening (e.g., blood urea nitrogen, creatinine, liver enzymes) is recommended before initiating long-term supplementation [118]. Formulations that combine multiple agents (e.g., antioxidant + omega-3 + CoQ10) are available commercially and offer convenience, but their efficacy should be evaluated case-by-case [119]. As metabolomic profiling and nutrigenomics evolve, personalized supplementation protocols may be developed for individual aging pets [120]. Research into senolytic nutraceuticals, mitochondrial activators, and neuroprotective agents in companion species is ongoing [121]. Future studies should focus on dose optimization, long-term outcomes, and breed-specific responses to ensure safe and effective integration of these interventions into geriatric care plans [122].
Pharmacologic and molecular anti-aging strategies in dogs and cats
1) Emergence of pharmacologic approaches in geroscience
While lifestyle interventions such as nutrition and physical activity are foundational to healthspan extension, recent advances in molecular geroscience have opened new pharmacologic avenues to directly target the biological mechanisms of aging [6,123]. In both human and veterinary medicine, mTOR inhibitors, senolytics, and metabolic modulators are being investigated for their ability to delay age-related diseases and enhance longevity [2]. These strategies aim to modulate intracellular signaling, improve mitochondrial function, suppress inflammation, and eliminate senescent cells—offering a paradigm shift from disease treatment to aging prevention [3].
Exercise and rehabilitation: muscle maintenance, joint health, and cardiovascular preservation
In aging dogs and cats, inactivity accelerates decline, contributing to sarcopenia, joint stiffness, and reduced cardiovascular fitness [124]. Sarcopenia, marked by progressive loss of muscle mass and strength, impairs mobility, thermoregulation, insulin sensitivity, and increases fall risk [125]. In cats, reluctance to jump may signal early neuromuscular decline.
Regular, low-impact exercise (e.g., walking, swimming) improves cardiovascular output, muscle oxygenation, insulin sensitivity, immune function, and mitochondrial activity, while reducing inflammation and resting heart rate [126,127]. It also supports joint lubrication, cartilage perfusion, and proprioception, aiding osteoarthritis management [128].
Veterinary rehabilitation—using underwater treadmill [129,130], passive range of motion [131], therapeutic laser/ultrasound [132], and neuromuscular electrical stimulation [133]—improves mobility, strength, and independence. Programs should be individualized by age, breed, disease, and baseline fitness, with gradual intensity, multimodal integration, and monitoring for intolerance in animals with cardiac or respiratory disease [132,133]. In cats, interactive play, climbing structures, and food puzzles promote safe movement [134].
Exercise must be cautious in cases of advanced heart failure, severe osteoarthritis, or neurologic deficits [131], with pre-program screening (cardiac, orthopedic, and laboratory exams) recommended [135]. Combining exercise with targeted nutrition (high protein, BCAA, omega-3), antioxidants, and cognitive stimulation yields synergistic benefits, partly via myokines such as irisin and brain-derived neurotrophic factor, which have anti-inflammatory and neuroprotective effects [136,137]. Integrating physical, nutritional, behavioral, and owner-guided care represents a future standard for geriatric veterinary practice [135].
Physical and cognitive interventions in aging dogs and cats
Physical activity and cognitive stimulation are low-risk, high-impact strategies for preserving function and quality of life in aging pets [138,139]. They address sarcopenia, osteoarthritis, and cognitive dysfunction, complementing pharmacologic and nutritional therapies [139,140]. Regular, controlled exercise (e.g., leash walks, hydrotherapy, low-impact play) supports musculoskeletal integrity, cardiovascular health, and metabolic flexibility without worsening pain or fatigue [138,139,140]. Rehabilitation options such as underwater treadmill, ultrasound, and laser therapy improve mobility in geriatric patients [140].
1) Cognitive enrichment and neuroplasticity
CDS is common in elderly pets, causing disorientation, altered interactions, and sleep disturbances [25]. Cognitive enrichment—through interactive toys, training, scent games, and environmental challenges—promotes neuroplasticity and delays decline [25,141]. Structured engagement can be as important as diet or medication for cognitive health [141].
2) Human-animal bond and psychosocial health
Social interaction, grooming, and consistent attention reduce stress, anxiety, and behavioral deterioration in senior pets [25]. Owners should adapt interaction to sensory and mobility changes [25].
3) Integrative therapies
Complementary approaches such as acupuncture, massage, stretching, and balance training enhance circulation, reduce pain, and improve proprioception while strengthening the caregiver-pet bond [140]. Individualized plans should include regular reassessment using pain scores, gait analysis, and cognitive checklists [140]. Physical and cognitive interventions, combined with nutrition and pharmacology, form a multimodal strategy to delay frailty, preserve independence, and improve quality of life [138].
Caregiver engagement and communication in geriatric veterinary care
1) Caregivers as essential partners in geriatric pet care
In geriatric veterinary medicine, caregivers are active participants in health monitoring, decision-making, and daily care [142]. Aging pets often need complex routines for medication, nutrition, mobility, and behavior, making caregiver involvement vital [143]. Caring for such pets can be emotionally and physically taxing, with owners facing anticipatory grief, financial strain, and burnout, especially with progressive conditions like cognitive decline or incontinence [144,145,146]. Veterinarians should recognize caregiver fatigue and respond with empathy, validation, and practical solutions [147].
2) Communication, education, and shared decision-making
Open, compassionate communication fosters trust and realistic expectations [148]. Shared decision-making should integrate owner values, lifestyle, and emotional readiness with clinical evidence [149]. Decision aids, quality-of-life scales, and written care plans improve goal alignment and adherence [150]. Educating caregivers on aging physiology, treatment options, and home monitoring builds confidence and engagement [150]. Resources such as workshops, handouts, videos, and digital platforms make information accessible [151], enabling owners to detect subtle changes and advocate for their pet’s wellbeing [152].
3) Continuity of care and end-of-life compassion
Longitudinal care—through regular wellness exams, telehealth follow-ups, and consistent staff—strengthens bonds and ensures timely intervention [153,154]. Cultural awareness and emotional intelligence are essential in end-of-life discussions, as families hold diverse beliefs about aging, death, and medical intervention [155]. Compassionate dialogue on palliative care, hospice, and euthanasia preserves dignity and reduces caregiver distress [156,157]. Caregiver engagement is both clinical and ethical [158]; prioritizing empathy, communication, and education supports dignity, compassion, and shared purpose in a pet’s final life stages [147].
Integrative multimodal approaches for aging dogs and cats
Aging is a multifactorial process affecting nearly all physiological systems, and no single intervention can address every aspect of decline [25]. Integrative multimodal approaches—combining nutrition, pharmacology, physical therapy, cognitive enrichment, and complementary medicine—target aging through multiple pathways [159,160], reflecting the complexity of frailty, cognitive dysfunction, chronic pain, and immune senescence [161].
These strategies often produce synergistic effects, where combined outcomes exceed the sum of individual treatments [162]. For example, dietary antioxidants may reduce neuroinflammation, while cognitive training enhances synaptic plasticity, together preserving cognitive health more effectively [146]. Similarly, physical rehabilitation may boost mitochondrial function, improving responsiveness to nutritional or pharmacologic mitochondrial protectants [140]. Care must be tailored to the patient’s clinical phenotype, comorbidities, and goals, guided by comprehensive geriatric assessments including mobility, cognition, pain, nutrition, and caregiver capacity [162].
1) Practical implementation in clinical settings
In practice, multimodal care may include senior diets rich in omega-3 and antioxidants, low-dose nonsteroidal anti-inflammatory drugs or joint supplements, hydrotherapy, cognitive games, and weekly acupuncture or massage [159]. Client education and adherence are critical—veterinarians should set achievable goals, offer ongoing support, and use tools like mobile apps or caregiver diaries to enhance compliance [162]. Collaboration among veterinarians, technicians, rehabilitation specialists, nutritionists, and owners, with clear roles and shared plans, ensures consistency [159].
2) Challenges and future directions
Implementation barriers include cost, time, limited rehabilitation access, and variable owner engagement [159]. Growing demand for aging care is fostering innovations in telemedicine, home-based programs, and integrative platforms [159]. Future tools may include AI-assisted planning, predictive analytics, and remote monitoring to enable personalized, evidence-based care [159]. Multimodal strategies address biological, behavioral, and emotional dimensions of aging, helping preserve vitality, independence, and comfort in senior pets [159].
DISCUSSION
Advances in preventive care, nutrition, and veterinary specialization have extended companion animal lifespans, shifting geriatric practice toward proactive, healthspan-focused care. Geroscience targets upstream mechanisms—such as mitochondrial dysfunction, inflammaging, and cellular senescence—that drive chronic disease. Cohort studies, including the DAP, the GRLS, and EMR or insurance datasets, show how breed, size, lifestyle, and environment influence longevity, while identifying modifiable risks. Gaps remain in feline research and the use of standardized aging biomarkers.
Evidence supports nutritional optimization, CR and mimetics, targeted nutraceuticals, pharmacologic agents, and structured physical and cognitive enrichment to delay frailty and preserve function. Yet, application in practice is inconsistent, limited by guideline availability, owner compliance, and long-term outcome data. Progress requires validated geriatric assessment tools, biomarker-driven risk profiling, coordinated longevity surveillance, and strong caregiver engagement. Integrating veterinary geroscience within a One Health framework can enhance precision care, inform human aging research, and reframe aging as a modifiable process—extending both lifespan and the period of vitality in senior pets.
ACKNOWLEDGMENTS
The authors express their sincere gratitude to the colleagues, veterinary professionals, and researchers whose work in geroscience and companion animal medicine provided the foundation for this review. We especially thank the teams involved in the Dog Aging Project and the Golden Retriever Lifetime Study for their pioneering contributions to understanding aging in companion animals, which informed many aspects of this manuscript. We are also grateful to the caregivers and pet owners who participate in longitudinal studies, whose dedication enables advances in veterinary geriatric care. Finally, we acknowledge the editorial and technical staff of the Journal of Veterinary Science for their support during the preparation of this article.
Footnotes
Conflict of Interest: The authors declare no conflicts of interest.
- Conceptualization: Oh WS, Armstrong PJ.
- Data curation: Oh WS, Armstrong PJ.
- Formal analysis: Oh WS, Armstrong PJ.
- Investigation: Oh WS, Armstrong PJ.
- Methodology: Oh WS, Armstrong PJ.
- Project administration: Oh WS, Armstrong PJ.
- Resources: Oh WS, Armstrong PJ.
- Software: Oh WS.
- Supervision: Oh WS, Armstrong PJ.
- Validation: Oh WS, Armstrong PJ.
- Visualization: Oh WS.
- Writing - original draft: Oh WS, Armstrong PJ.
- Writing - review & editing: Oh WS, Armstrong PJ.
References
- 1.McKenzie BA, Chen FL, Gruen ME, Olby NJ. Canine geriatric syndrome: a framework for advancing research in veterinary geroscience. Front Vet Sci. 2022;9:853743. doi: 10.3389/fvets.2022.853743. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Laflamme DP. Nutrition for aging cats and dogs and the importance of body condition. Vet Clin North Am Small Anim Pract. 2005;35(3):713–742. doi: 10.1016/j.cvsm.2004.12.011. [DOI] [PubMed] [Google Scholar]
- 3.López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013;153(6):1194–1217. doi: 10.1016/j.cell.2013.05.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Kennedy BK, Berger SL, Brunet A, Campisi J, Cuervo AM, Epel ES, et al. Geroscience: linking aging to chronic disease. Cell. 2014;159(4):709–713. doi: 10.1016/j.cell.2014.10.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Urfer SR, Kaeberlein TL, Mailheau S, Bergman PJ, Creevy KE, Promislow DEL, et al. A randomized controlled trial to establish effects of short-term rapamycin treatment in 24 middle-aged companion dogs. Geroscience. 2017;39(2):117–127. doi: 10.1007/s11357-017-9972-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Kaeberlein M, Creevy KE, Promislow DE. The dog aging project: translational geroscience in companion animals. Mamm Genome. 2016;27(7-8):279–288. doi: 10.1007/s00335-016-9638-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Labadie J, Swafford B, DePena M, Tietje K, Page R, Patterson-Kane J. Cohort profile: the Golden Retriever Lifetime Study (GRLS) PLoS One. 2022;17(6):e0269425. doi: 10.1371/journal.pone.0269425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Coleman AE, Creevy KE, Anderson R, Reed MJ, Fajt VR, Aicher KM, et al. Test of Rapamycin in Aging Dogs (TRIAD): study design and rationale for a prospective, parallel-group, double-masked, randomized, placebo-controlled, multicenter trial of rapamycin in healthy middle-aged dogs from the Dog Aging Project. Geroscience. 2025;47(3):2851–2877. doi: 10.1007/s11357-024-01484-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zhu Y, Tchkonia T, Pirtskhalava T, Gower AC, Ding H, Giorgadze N, et al. The Achilles’ heel of senescent cells: from transcriptome to senolytic drugs. Aging Cell. 2015;14(4):644–658. doi: 10.1111/acel.12344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Seals DR, Melov S. Translational geroscience: emphasizing function to achieve optimal longevity. Aging (Albany NY) 2014;6(9):718–730. doi: 10.18632/aging.100694. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Landsberg G. In: Behavior Problems of the Dog and Cat. Landsberg G, Radosta L, Ackerman L, editors. Elsevier; 2024. The effects of aging on behavior in senior pets; pp. 107–134. [Google Scholar]
- 12.Biga PR, Duan JE, Young TE, Marks JR, Bronikowski A, Decena LP, et al. Hallmarks of aging: a user’s guide for comparative biologists. Ageing Res Rev. 2025;104:102616. doi: 10.1016/j.arr.2024.102616. [DOI] [PubMed] [Google Scholar]
- 13.Rabinowitz P, Conti L. Links among human health, animal health, and ecosystem health. Annu Rev Public Health. 2013;34(1):189–204. doi: 10.1146/annurev-publhealth-031912-114426. [DOI] [PubMed] [Google Scholar]
- 14.McMahon JE, Graves JL, Tovar AP, Peloquin M, Greenwood K, Chen FL, et al. Translational immune and metabolic markers of aging in dogs. Sci Rep. 2025;15(1):14460. doi: 10.1038/s41598-025-99349-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Creevy KE, Akey JM, Kaeberlein M, Promislow DEL, Barnett BG, Benton B, et al. An open science study of ageing in companion dogs. Nature. 2022;602(7895):51–57. doi: 10.1038/s41586-021-04282-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Guy MK, Page RL, Jensen WA, Olson PN, Haworth JD, Searfoss EE, et al. The Golden Retriever Lifetime Study: establishing an observational cohort study with translational relevance for human health. Philos Trans R Soc Lond B Biol Sci. 2015;370(1673):20140230. doi: 10.1098/rstb.2014.0230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Luethcke K, Trepanier LA, Tindle AN, Labadie JD. Environmental exposures and lymphoma risk: a nested case-control study using the Golden Retriever Lifetime Study cohort. Canine Med Genet. 2022;9(1):10. doi: 10.1186/s40575-022-00122-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Nam Y, White M, Karlsson EK, Creevy KE, Promislow DEL, McClelland RL, et al. Dog size and patterns of disease history across the canine age spectrum: results from the Dog Aging Project. PLoS One. 2024;19(1):e0295840. doi: 10.1371/journal.pone.0295840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hart BL, Hart LA, Thigpen AP, Willits NH. Neutering of German Shepherd Dogs: associated joint disorders, cancers and urinary incontinence. Vet Med Sci. 2016;2(3):191–199. doi: 10.1002/vms3.34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lee H, Collins D, Creevy KE, Promislow DEL Dog Aging Project Consortium. Age and physical activity levels in companion dogs: results from the Dog Aging Project. J Gerontol A Biol Sci Med Sci. 2022;77(10):1986–1993. doi: 10.1093/gerona/glac099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Blanchard T, Mugnier A, Déjean S, Priymenko N, Meynadier A. Exploring frailty in apparently healthy senior dogs: a cross-sectional study. BMC Vet Res. 2024;20(1):436. doi: 10.1186/s12917-024-04296-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Hua J, Hoummady S, Muller C, Pouchelon JL, Blondot M, Gilbert C, et al. Assessment of frailty in aged dogs. Am J Vet Res. 2016;77(12):1357–1365. doi: 10.2460/ajvr.77.12.1357. [DOI] [PubMed] [Google Scholar]
- 23.Dhaliwal R, Boynton E, Carrera-Justiz S, Cruise N, Gardner M, Huntingford J, et al. 2023 AAHA senior care guidelines for dogs and cats. J Am Anim Hosp Assoc. 2023;59(1):1–21. doi: 10.5326/JAAHA-MS-7343. [DOI] [PubMed] [Google Scholar]
- 24.Ray M, Carney HC, Boynton B, Quimby J, Robertson S, St Denis K, et al. 2021 AAFP feline senior care guidelines. J Feline Med Surg. 2021;23(7):613–638. doi: 10.1177/1098612X211021538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Landsberg GM, Nichol J, Araujo JA. Cognitive dysfunction syndrome: a disease of canine and feline brain aging. Vet Clin North Am Small Anim Pract. 2012;42(4):749–768. doi: 10.1016/j.cvsm.2012.04.003. [DOI] [PubMed] [Google Scholar]
- 26.Raj K, Szladovits B, Haghani A, Zoller JA, Li CZ, Black P, et al. Epigenetic clock and methylation studies in cats. Geroscience. 2021;43(5):2363–2378. doi: 10.1007/s11357-021-00445-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.O’Neill DG, Church DB, McGreevy PD, Thomson PC, Brodbelt DC. Longevity and mortality of owned dogs in England. Vet J. 2013;198(3):638–643. doi: 10.1016/j.tvjl.2013.09.020. [DOI] [PubMed] [Google Scholar]
- 28.Fascetti AJ. Nutritional management and disease prevention in healthy dogs and cats. R Bras Zootec. 2010;39(Suppl Spe):42–51. [Google Scholar]
- 29.Stockman J. Nutrition and aging in dogs and cats. Adv Exp Med Biol. 2024;1446:203–215. doi: 10.1007/978-3-031-54192-6_9. [DOI] [PubMed] [Google Scholar]
- 30.Leonardi L, Calzoni E. Dietary interventions in companion animals and prevention of nutrition disorders. Animals. 2024;(Special Issue) [Google Scholar]
- 31.Overgaauw PAM, Vinke CM, Hagen MAEV, Lipman LJA. A One Health perspective on the human-companion animal relationship with emphasis on zoonotic aspects. Int J Environ Res Public Health. 2020;17(11):3789. doi: 10.3390/ijerph17113789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Janke N, Stone EA, Coe JB, Dewey CE. Companion animal veterinarians discuss aspects of one health with pet owners during most veterinary appointments. J Am Vet Med Assoc. 2023;261(12):1–9. doi: 10.2460/javma.23.05.0287. [DOI] [PubMed] [Google Scholar]
- 33.Case LP, Daristotle L, Hayek MG, Raasch MF. Canine and Feline Nutrition: A Resource for Companion Animal Professionals. Elsevier Health Sciences; 2010. [Google Scholar]
- 34.Kustritz MV. Determining the optimal age for gonadectomy of dogs and cats. J Am Vet Med Assoc. 2007;231(11):1665–1675. doi: 10.2460/javma.231.11.1665. [DOI] [PubMed] [Google Scholar]
- 35.Irvine L, Cilia L. More-than-human families: pets, people, and practices in multispecies households. Sociol Compass. 2017;11(2):e12455 [Google Scholar]
- 36.Urfer SR, Kaeberlein M, Promislow DEL, Creevy KE. Lifespan of companion dogs seen in three independent primary care veterinary clinics in the United States. Canine Med Genet. 2020;7(1):7. doi: 10.1186/s40575-020-00086-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Montoya M, Morrison JA, Arrignon F, Spofford N, Charles H, Hours MA, et al. Life expectancy tables for dogs and cats derived from clinical data. Front Vet Sci. 2023;10:1082102. doi: 10.3389/fvets.2023.1082102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.AVMA News. Banfield: spaying, neutering correlate with longer lives [Internet] AVMA News; Published 2013. [Updated 2013]. [Accessed May 24, 2025]. https://www.avma.org/javma-news/2013-07-01/banfield-spaying-neutering-correlate-longer-lives . [Google Scholar]
- 39.Li Y, Tian X, Luo J, Bao T, Wang S, Wu X. Molecular mechanisms of aging and anti-aging strategies. Cell Commun Signal. 2024;22(1):285. doi: 10.1186/s12964-024-01663-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Birkegård AC, Reimann MJ, Martinussen T, Häggström J, Pedersen HD, Olsen LH. Breeding restrictions decrease the prevalence of myxomatous mitral valve disease in Cavalier King Charles Spaniels over an 8- to 10-year period. J Vet Intern Med. 2016;30(1):63–68. doi: 10.1111/jvim.13663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Korec E, Ungrová L, Kalvas J, Hejnar J. Identification of genes associated with longevity in dogs: 9 candidate genes described in Cavalier King Charles Spaniel. Vet Anim Sci. 2024;27:100420. doi: 10.1016/j.vas.2024.100420. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Erich SA, Rutteman GR, Teske E. Causes of death and the impact of histiocytic sarcoma on the life expectancy of the Dutch population of Bernese mountain dogs and Flat-coated retrievers. Vet J. 2013;198(3):678–683. doi: 10.1016/j.tvjl.2013.09.062. [DOI] [PubMed] [Google Scholar]
- 43.Klopfenstein M, Howard J, Rossetti M, Geissbühler U. Life expectancy and causes of death in Bernese mountain dogs in Switzerland. BMC Vet Res. 2016;12(1):153. doi: 10.1186/s12917-016-0782-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Salt C, Saito EK, O'Flynn C, Allaway D. Stratification of companion animal life stages from electronic medical record diagnosis data. J Gerontol A Biol Sci Med Sci. 2023;78(4):579–586. doi: 10.1093/gerona/glac220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.O’Neill DG, Church DB, McGreevy PD, Thomson PC, Brodbelt DC. Approaches to canine health surveillance. Canine Genet Epidemiol. 2014;1(1):2. doi: 10.1186/2052-6687-1-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Lund EM, Armstrong PJ, Kirk CA, Kolar LM, Klausner JS. Health status and population characteristics of dogs and cats examined at private veterinary practices in the United States. J Am Vet Med Assoc. 1999;214(9):1336–1341. [PubMed] [Google Scholar]
- 47.Tang AS, Rankin KP, Cerono G, Miramontes S, Mills H, Roger J, et al. Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights. Nat Aging. 2024;4(3):379–395. doi: 10.1038/s43587-024-00573-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Hoffman JM, Creevy KE, Franks A, O’Neill DG, Promislow DEL. The companion dog as a model for human aging and mortality. Aging Cell. 2018;17(3):e12737. doi: 10.1111/acel.12737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Egenvall A, Nødtvedt A, Penell J, Gunnarsson L, Bonnett BN. Insurance data for research in companion animals: benefits and limitations. Acta Vet Scand. 2009;51(1):42. doi: 10.1186/1751-0147-51-42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Egenvall A, Bonnett BN, Shoukri M, Olson P, Hedhammar A, Dohoo I. Age pattern of mortality in eight breeds of insured dogs in Sweden. Prev Vet Med. 2000;46(1):1–14. doi: 10.1016/s0167-5877(00)00135-5. [DOI] [PubMed] [Google Scholar]
- 51.Packer RM, Hendricks A, Tivers MS, Burn CC. Impact of facial conformation on canine health: brachycephalic obstructive airway syndrome. PLoS One. 2015;10(10):e0137496. doi: 10.1371/journal.pone.0137496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Egenvall A, Bonnett BN, Hedhammar A, Olson P. Mortality in over 350,000 insured Swedish dogs from 1995-2000: II. Breed-specific age and survival patterns and relative risk for causes of death. Acta Vet Scand. 2005;46(3):121–136. doi: 10.1186/1751-0147-46-121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Boller M, Nemanic TS, Anthonisz JD, Awad M, Selinger J, Boller EM, et al. The effect of pet insurance on presurgical euthanasia of dogs with gastric dilatation-volvulus: a novel approach to quantifying economic euthanasia in veterinary emergency medicine. Front Vet Sci. 2020;7:590615. doi: 10.3389/fvets.2020.590615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Debes C, Wowra J, Manzoor S, Ruple A. Predicting health outcomes in dogs using insurance claims data. Sci Rep. 2023;13(1):9122. doi: 10.1038/s41598-023-36023-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Jiménez AG. A revisiting of "the hallmarks of aging" in domestic dogs: current status of the literature. Geroscience. 2024;46(1):241–255. doi: 10.1007/s11357-023-00911-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Creevy KE, Austad SN, Hoffman JM, O’Neill DG, Promislow DE. The companion dog as a model for the longevity dividend. Cold Spring Harb Perspect Med. 2016;6(1):a026633. doi: 10.1101/cshperspect.a026633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Yang Y, Mayo A, Levy T, Raz N, Shenhar B, Jarosz DF, et al. Compression of morbidity by interventions that steepen the survival curve. Nat Commun. 2025;16(1):3340. doi: 10.1038/s41467-025-57807-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Bisset ES, Howlett SE. The biology of frailty in humans and animals: Understanding frailty and promoting translation. Aging Med (Milton) 2019;2(1):27–34. doi: 10.1002/agm2.12058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Richards SE, Wang Y, Claus SP, Lawler D, Kochhar S, Holmes E, et al. Metabolic phenotype modulation by caloric restriction in a lifelong dog study. J Proteome Res. 2013;12(7):3117–3127. doi: 10.1021/pr301097k. [DOI] [PubMed] [Google Scholar]
- 60.Gensous N, Sala C, Pirazzini C, Ravaioli F, Milazzo M, Kwiatkowska KM, et al. A targeted epigenetic clock for the prediction of biological age. Cells. 2022;11(24):4044. doi: 10.3390/cells11244044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.National Academies of Sciences, Engineering, and Medicine. Division on Earth and Life Studies. Standing Committee on the Use of Emerging Science for Environmental Health Decisions. Health and Medicine Division. Board on Health Care Services. Forum on Aging, Disability, and Independence et al. Companion Animals as Sentinels for Predicting Environmental Exposure Effects on Aging and Cancer Susceptibility in Humans: Proceedings of a Workshop. National Academies Press; 2022. [PubMed] [Google Scholar]
- 62.Martini M, Fenati M, Agosti M, Cassini R, Drigo M, Ferro N, et al. A surveillance system for diseases of companion animals in the Veneto region (Italy) Rev Sci Tech. 2017;36(3):1007–1014. doi: 10.20506/rst.36.3.2732. [DOI] [PubMed] [Google Scholar]
- 63.Anholt RM, Berezowski J, Jamal I, Ribble C, Stephen C. Mining free-text medical records for companion animal enteric syndrome surveillance. Prev Vet Med. 2014;113(4):417–422. doi: 10.1016/j.prevetmed.2014.01.017. [DOI] [PubMed] [Google Scholar]
- 64.Ladiges W. The unrecognized potential of pet cats for studying aging and age-related diseases. Aging Pathobiol Ther. 2021;3(4):134–135. doi: 10.31491/apt.2021.12.069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Cupp CJ, Jean-Philippe C, Kerr WW, Patil A, Perez-Camargo G. Effect of nutritional interventions on longevity of senior cats. Intern J Appl Res Vet Med. 2007;5(3):133–149. [Google Scholar]
- 66.Machado DP, Ruberti B, Teixeira FA, Vendramini THA, Pfrimer K, Chacar FC, et al. Body composition of healthy cats and cats with chronic kidney disease fed on a dry diet low in phosphorus with maintenance protein. Toxins (Basel) 2022;14(12):865. doi: 10.3390/toxins14120865. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Yeates J, Main D. Assessment of companion animal quality of life in veterinary practice and research. J Small Anim Pract. 2009;50(6):274–281. doi: 10.1111/j.1748-5827.2009.00755.x. [DOI] [PubMed] [Google Scholar]
- 68.Char DS, Shah NH, Magnus D. Implementing machine learning in health care - addressing ethical challenges. N Engl J Med. 2018;378(11):981–983. doi: 10.1056/NEJMp1714229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Kowald A, Kirkwood TBL. Can aging be programmed? A critical literature review. Aging Cell. 2016;15(6):986–998. doi: 10.1111/acel.12510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44–56. doi: 10.1038/s41591-018-0300-7. [DOI] [PubMed] [Google Scholar]
- 71.Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173(5):489–495. doi: 10.1503/cmaj.050051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.McGreevy P, Thomson P, Dhand NK, Raubenheimer D, Masters S, Mansfield CS, et al. VetCompass Australia: a national big data collection system for veterinary science. Animals (Basel) 2017;7(10):74. doi: 10.3390/ani7100074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Wernli D, Jørgensen PS, Parmley EJ, Troell M, Majowicz S, Harbarth S, et al. Evidence for action: a One Health learning platform on interventions to tackle antimicrobial resistance. Lancet Infect Dis. 2020;20(12):e307–e311. doi: 10.1016/S1473-3099(20)30392-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Booton RD, Meeyai A, Alhusein N, Buller H, Feil E, Lambert H, et al. One Health drivers of antibacterial resistance: quantifying the relative impacts of human, animal and environmental use and transmission. One Health. 2021;12:100220. doi: 10.1016/j.onehlt.2021.100220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Day MJ, Breitschwerdt E, Cleaveland S, Karkare U, Khanna C, Kirpensteijn J, et al. Surveillance of zoonotic infectious disease transmitted by small companion animals. Emerg Infect Dis. 2012;18(12) [Google Scholar]
- 76.McKenzie BA. Comparative veterinary geroscience: mechanism of molecular, cellular, and tissue aging in humans, laboratory animal models, and companion dogs and cats. Am J Vet Res. 2022;83(6):ajvr.22.02.0027. doi: 10.2460/ajvr.22.02.0027. [DOI] [PubMed] [Google Scholar]
- 77.Laflamme DP. Nutritional care for aging cats and dogs. Vet Clin North Am Small Anim Pract. 2012;42(4):769–791. vii. doi: 10.1016/j.cvsm.2012.04.002. [DOI] [PubMed] [Google Scholar]
- 78.Guelfi G, Capaccia C, Tedeschi M, Bufalari A, Leonardi L, Cenci-Goga B, et al. Dog aging: a comprehensive review of molecular, cellular, and physiological processes. Cells. 2024;13(24):2101. doi: 10.3390/cells13242101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Somasundaram I, Jain SM, Blot-Chabaud M, Pathak S, Banerjee A, Rawat S, et al. Mitochondrial dysfunction and its association with age-related disorders. Front Physiol. 2024;15:1384966. doi: 10.3389/fphys.2024.1384966. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Colman RJ, Anderson RM, Johnson SC, Kastman EK, Kosmatka KJ, Beasley TM, et al. Caloric restriction delays disease onset and mortality in rhesus monkeys. Science. 2009;325(5937):201–204. doi: 10.1126/science.1173635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Zullo A, Simone E, Grimaldi M, Musto V, Mancini FP. Sirtuins as mediator of the anti-ageing effects of calorie restriction in skeletal and cardiac muscle. Int J Mol Sci. 2018;19(4):928. doi: 10.3390/ijms19040928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Linder DE, Freeman LM, Holden SL, Biourge V, German AJ. Status of selected nutrients in obese dogs undergoing caloric restriction. BMC Vet Res. 2013;9(1):219. doi: 10.1186/1746-6148-9-219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Madeo F, Pietrocola F, Eisenberg T, Kroemer G. Caloric restriction mimetics: towards a molecular definition. Nat Rev Drug Discov. 2014;13(10):727–740. doi: 10.1038/nrd4391. [DOI] [PubMed] [Google Scholar]
- 84.Franceschi C, Garagnani P, Vitale G, Capri M, Salvioli S. Inflammaging and ‘Garb-aging’. Trends Endocrinol Metab. 2017;28(3):199–212. doi: 10.1016/j.tem.2016.09.005. [DOI] [PubMed] [Google Scholar]
- 85.Kealy RD, Lawler DF, Ballam JM, Mantz SL, Biery DN, Greeley EH, et al. Effects of diet restriction on life span and age-related changes in dogs. J Am Vet Med Assoc. 2002;220(9):1315–1320. doi: 10.2460/javma.2002.220.1315. [DOI] [PubMed] [Google Scholar]
- 86.Lawler DF, Evans RH, Larson BT, Spitznagel EL, Ellersieck MR, Kealy RD. Influence of lifetime food restriction on causes, time, and predictors of death in dogs. J Am Vet Med Assoc. 2005;226(2):225–231. doi: 10.2460/javma.2005.226.225. [DOI] [PubMed] [Google Scholar]
- 87.Redman LM, Smith SR, Burton JH, Martin CK, Il’yasova D, Ravussin E. Metabolic slowing and reduced oxidative damage with sustained caloric restriction support the rate of living and oxidative damage theories of aging. Cell Metab. 2018;27(4):805–815.e4. doi: 10.1016/j.cmet.2018.02.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.de Cabo R, Mattson MP. Effects of intermittent fasting on health, aging, and disease. N Engl J Med. 2019;381(26):2541–2551. doi: 10.1056/NEJMra1905136. [DOI] [PubMed] [Google Scholar]
- 89.Ingram DK, Zhu M, Mamczarz J, Zou S, Lane MA, Roth GS, et al. Calorie restriction mimetics: an emerging research field. Aging Cell. 2006;5(2):97–108. doi: 10.1111/j.1474-9726.2006.00202.x. [DOI] [PubMed] [Google Scholar]
- 90.Cerqueira FM, Kowaltowski AJ. Commonly adopted caloric restriction protocols often involve malnutrition. Ageing Res Rev. 2010;9(4):424–430. doi: 10.1016/j.arr.2010.05.002. [DOI] [PubMed] [Google Scholar]
- 91.Singar S, Nagpal R, Arjmandi BH, Akhavan NS. Personalized nutrition: tailoring dietary recommendations through genetic insights. Nutrients. 2024;16(16):2673. doi: 10.3390/nu16162673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Hofer SJ, Davinelli S, Bergmann M, Scapagnini G, Madeo F. Caloric restriction mimetics in nutrition and clinical trials. Front Nutr. 2021;8:717343. doi: 10.3389/fnut.2021.717343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Solon-Biet SM, McMahon AC, Ballard JW, Ruohonen K, Wu LE, Cogger VC, et al. The ratio of macronutrients, not caloric intake, dictates cardiometabolic health, aging, and longevity in ad libitum-fed mice. Cell Metab. 2014;19(3):418–430. doi: 10.1016/j.cmet.2014.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Kumar J, Rani K, Datt C. Molecular link between dietary fibre, gut microbiota and health. Mol Biol Rep. 2020;47(8):6229–6237. doi: 10.1007/s11033-020-05611-3. [DOI] [PubMed] [Google Scholar]
- 95.Welty FK. Omega-3 fatty acids and cognitive function. Curr Opin Lipidol. 2023;34(1):12–21. doi: 10.1097/MOL.0000000000000862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Liu X, Pei J, Li J, Zhu H, Zheng X, Zhang X, et al. Recent advances in resveratrol derivatives: structural modifications and biological activities. Molecules. 2025;30(4):958. doi: 10.3390/molecules30040958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Zhang T, O’Connor C, Sheridan H, Barlow JW. Vitamin K2 in health and disease: a clinical perspective. Foods. 2024;13(11):1646. doi: 10.3390/foods13111646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Coulston AM. The retardation of aging and disease by dietary restriction. J Am Diet Assoc. 1989;89(6):872. [Google Scholar]
- 99.Longo VD, Anderson RM. Nutrition, longevity and disease: from molecular mechanisms to interventions. Cell. 2022;185(9):1455–1470. doi: 10.1016/j.cell.2022.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Pan Y, Larson B, Araujo JA, Lau W, de Rivera C, Santana R, et al. Dietary supplementation with medium-chain TAG has long-lasting cognition-enhancing effects in aged dogs. Br J Nutr. 2010;103(12):1746–1754. doi: 10.1017/S0007114510000097. [DOI] [PubMed] [Google Scholar]
- 101.Morris MC, Tangney CC, Wang Y, Sacks FM, Barnes LL, Bennett DA, et al. MIND diet slows cognitive decline with aging. Alzheimers Dement. 2015;11(9):1015–1022. doi: 10.1016/j.jalz.2015.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Wernimont SM, Radosevich J, Jackson MI, Ephraim E, Badri DV, MacLeay JM, et al. The effects of nutrition on the gastrointestinal microbiome of cats and dogs: impact on health and disease. Front Microbiol. 2020;11:1266. doi: 10.3389/fmicb.2020.01266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Jewell DE, Motsinger LA, Paetau-Robinson I. Effect of dietary antioxidants on free radical damage in dogs and cats. J Anim Sci. 2024;102:skae153. doi: 10.1093/jas/skae153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Blanchard T, Eppe J, Mugnier A, Delfour F, Meynadier A. Enhancing cognitive functions in aged dogs and cats: a systematic review of enriched diets and nutraceuticals. Geroscience. 2025;47(3):2925–2947. doi: 10.1007/s11357-025-01521-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Anthony RM, MacLeay JM, Jewell DE, Brejda JJ, Gross KL. Alpha-lipoic acid is an effective nutritive antioxidant for healthy adult dogs. Animals (Basel) 2021;11(2):274. doi: 10.3390/ani11020274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Pan Y, Landsberg G, Mougeot I, Kelly S, Xu H, Bhatnagar S, et al. Efficacy of a therapeutic diet on dogs with signs of cognitive dysfunction syndrome (CDS): a prospective double blinded placebo controlled clinical study. Front Nutr. 2018;5:127. doi: 10.3389/fnut.2018.00127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Kaur H, Singla A, Singh S, Shilwant S, Kaur R. Role of omega-3 fatty acids in canine health: a review. Int J Curr Microbiol Appl Sci. 2020;9(3):2283–2293. [Google Scholar]
- 108.Gunn-Moore DA. Cognitive dysfunction in cats: clinical assessment and management. Top Companion Anim Med. 2011;26(1):17–24. doi: 10.1053/j.tcam.2011.01.005. [DOI] [PubMed] [Google Scholar]
- 109.May KA, Laflamme DP. Nutrition and the aging brain of dogs and cats. J Am Vet Med Assoc. 2019;255(11):1245–1254. doi: 10.2460/javma.255.11.1245. [DOI] [PubMed] [Google Scholar]
- 110.Sordo L, Gunn-Moore DA. Cognitive dysfunction in cats: update on neuropathological and behavioural changes plus clinical management. Vet Rec. 2021;188(1):e3. doi: 10.1002/vetr.3. [DOI] [PubMed] [Google Scholar]
- 111.Tynes VV, Landsberg GM. Nutritional management of behavior and brain disorders in dogs and cats. Vet Clin North Am Small Anim Pract. 2021;51(3):711–727. doi: 10.1016/j.cvsm.2021.01.011. [DOI] [PubMed] [Google Scholar]
- 112.Wu G. Roles of nutrients in the brain development, cognitive function, and mood of dogs and cats. Adv Exp Med Biol. 2024;1446:177–202. doi: 10.1007/978-3-031-54192-6_8. [DOI] [PubMed] [Google Scholar]
- 113.Brown SA, Brown CA, Crowell WA, Barsanti JA, Kang CW, Allen T, et al. Effects of dietary polyunsaturated fatty acid supplementation in early renal insufficiency in dogs. J Lab Clin Med. 2000;135(3):275–286. doi: 10.1067/mlc.2000.105178. [DOI] [PubMed] [Google Scholar]
- 114.Roush JK, Cross AR, Renberg WC, Dodd CE, Sixby KA, Fritsch DA, et al. Evaluation of the effects of dietary supplementation with fish oil omega-3 fatty acids on weight bearing in dogs with osteoarthritis. J Am Vet Med Assoc. 2010;236(1):67–73. doi: 10.2460/javma.236.1.67. [DOI] [PubMed] [Google Scholar]
- 115.Billman GE, Nishijima Y, Belevych AE, Terentyev D, Xu Y, Haizlip KM, et al. Effects of dietary omega-3 fatty acids on ventricular function in dogs with healed myocardial infarctions: in vivo and in vitro studies. Am J Physiol Heart Circ Physiol. 2010;298(4):H1219–H1228. doi: 10.1152/ajpheart.01065.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Webster CRL, Center SA, Cullen JM, Penninck DG, Richter KP, Twedt DC, et al. ACVIM consensus statement on the diagnosis and treatment of chronic hepatitis in dogs. J Vet Intern Med. 2019;33(3):1173–1200. doi: 10.1111/jvim.15467. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Shastak Y, Pelletier W. Pet wellness and vitamin A: a narrative overview. Animals (Basel) 2024;14(7):1000. doi: 10.3390/ani14071000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Korman RM, White JD. Feline CKD: current therapies - what is achievable? J Feline Med Surg. 2013;15 Suppl 1(1) Suppl:29–44. doi: 10.1177/1098612X13495241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Barroso C, Fonseca AJM, Cabrita ARJ. Vitamins, minerals and phytonutrients as modulators of canine immune function: a literature review. Vet Sci. 2024;11(12):655. doi: 10.3390/vetsci11120655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Hotea I, Sirbu C, Plotuna AM, Tîrziu E, Badea C, Berbecea A, et al. Integrating (nutri-)metabolomics into the One Health tendency-the key for personalized medicine advancement. Metabolites. 2023;13(7):800. doi: 10.3390/metabo13070800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Grzeczka A, Graczyk S, Kordowitzki P. Pleiotropic effects of resveratrol on aging-related cardiovascular diseases-what can we learn from research in dogs? Cells. 2024;13(20):1732. doi: 10.3390/cells13201732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Malcomson FC, Mathers JC. Translation of nutrigenomic research for personalised and precision nutrition for cancer prevention and for cancer survivors. Redox Biol. 2023;62:102710. doi: 10.1016/j.redox.2023.102710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Richardson A. Rapamycin, anti-aging, and avoiding the fate of Tithonus. J Clin Invest. 2013;123(8):3204–3206. doi: 10.1172/JCI70800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Frye C, Carr BJ, Lenfest M, Miller A. Canine geriatric rehabilitation: considerations and strategies for assessment, functional scoring, and follow up. Front Vet Sci. 2022;9:842458. doi: 10.3389/fvets.2022.842458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Larsson L, Degens H, Li M, Salviati L, Lee YI, Thompson W, et al. Sarcopenia: aging-related loss of muscle mass and function. Physiol Rev. 2019;99(1):427–511. doi: 10.1152/physrev.00061.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Franklin BA, Eijsvogels TMH, Pandey A, Quindry J, Toth PP. Physical activity, cardiorespiratory fitness, and cardiovascular health: a clinical practice statement of the ASPC part I: bioenergetics, contemporary physical activity recommendations, benefits, risks, extreme exercise regimens, potential maladaptations. Am J Prev Cardiol. 2022;12:100424. doi: 10.1016/j.ajpc.2022.100424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Qiu Y, Fernández-García B, Lehmann HI, Li G, Kroemer G, López-Otín C, et al. Exercise sustains the hallmarks of health. J Sport Health Sci. 2023;12(1):8–35. doi: 10.1016/j.jshs.2022.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Anja Pedersen AB. Proceedings of the 11th International Association of Veterinary Rehabilitation and Physical Therapy, and the Summit of the American Association of Rehabilitation Veterinarians and the American College of Veterinary Sports Medicine and Rehabilitation. Acta Vet Scand. 2023;65(Suppl 1):55. doi: 10.1186/s13028-019-0439-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Lee WR. The Effects of an Underwater Treadmill Physical Therapy Program on Two Dogs with Osteoarthritis. Chancellor’s Honors Program Projects. University of Tennessee, Knoxville; 2000. [Google Scholar]
- 130.Barnicoat F, Wills A. Effect of water depth on limb kinematics of the domestic dog (Canis lupus familiaris) during underwater treadmill exercise. Comp Exerc Physiol. 2016;12(4):199–207. [Google Scholar]
- 131.Marcellin-Little DJ, Levine D. Principles and application of range of motion and stretching in companion animals. Vet Clin North Am Small Anim Pract. 2015;45(1):57–72. doi: 10.1016/j.cvsm.2014.09.004. [DOI] [PubMed] [Google Scholar]
- 132.Hanks J, Levine D, Bockstahler B. Physical agent modalities in physical therapy and rehabilitation of small animals. Vet Clin North Am Small Anim Pract. 2015;45(1):29–44. doi: 10.1016/j.cvsm.2014.09.002. [DOI] [PubMed] [Google Scholar]
- 133.Millis DL, Ciuperca IA. Evidence for canine rehabilitation and physical therapy. Vet Clin North Am Small Anim Pract. 2015;45(1):1–27. doi: 10.1016/j.cvsm.2014.09.001. [DOI] [PubMed] [Google Scholar]
- 134.Buffington CA. External and internal influences on disease risk in cats. J Am Vet Med Assoc. 2002;220(7):994–1002. doi: 10.2460/javma.2002.220.994. [DOI] [PubMed] [Google Scholar]
- 135.Epstein M, Rodan I, Griffenhagen G, Kadrlik J, Petty M, Robertson S, et al. 2015 AAHA/AAFP pain management guidelines for dogs and cats. J Am Anim Hosp Assoc. 2015;51(2):67–84. doi: 10.5326/JAAHA-MS-7331. [DOI] [PubMed] [Google Scholar]
- 136.Paduchová Z, Gajdošová L, Katrenčíková B, Horváthová M, Országhová Z, Andrezálová L, et al. Synergistic effects of omega-3 fatty acids and physical activity on oxidative stress markers and antioxidant mechanisms in aged rats. Nutrients. 2024;17(1):96. doi: 10.3390/nu17010096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Gao X, Chen Y, Cheng P. Unlocking the potential of exercise: harnessing myokines to delay musculoskeletal aging and improve cognitive health. Front Physiol. 2024;15:1338875. doi: 10.3389/fphys.2024.1338875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Bray EE, Raichlen DA, Forsyth KK, Promislow DEL, Alexander GE, MacLean EL, et al. Associations between physical activity and cognitive dysfunction in older companion dogs: results from the Dog Aging Project. Geroscience. 2023;45(2):645–661. doi: 10.1007/s11357-022-00655-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Cotman CW, Berchtold NC. Physical activity and the maintenance of cognition: learning from animal models. Alzheimers Dement. 2007;3(2) Suppl:S30–S37. doi: 10.1016/j.jalz.2007.01.013. [DOI] [PubMed] [Google Scholar]
- 140.Millis DL, Levine D. Canine Rehabilitation and Physical Therapy. Elsevier; 2013. [Google Scholar]
- 141.Parambath SK, Krishna N, Krishnamurthy RG. Environmental enrichment: a neurostimulatory approach to aging and ischemic stroke recovery and rehabilitation. Biogerontology. 2025;26(3):92. doi: 10.1007/s10522-025-10232-z. [DOI] [PubMed] [Google Scholar]
- 142.Kogan LR, Wallace JE, Hellyer PW, Carr ECJ. Canine caregivers: paradoxical challenges and rewards. Animals (Basel) 2022;12(9):1074. doi: 10.3390/ani12091074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Silva PTRF, Coura FM, Costa-Val AP. Caregiver burden in small animal clinics: a comparative analysis of dermatological and oncological cases. Animals (Basel) 2024;14(2):276. doi: 10.3390/ani14020276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Nakano Y, Matsushima M, Nakamori A, Hiroma J, Matsuo E, Wakabayashi H, et al. Depression and anxiety in pet owners after a diagnosis of cancer in their pets: a cross-sectional study in Japan. BMJ Open. 2019;9(2):e024512. doi: 10.1136/bmjopen-2018-024512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Sharpley C, Veronese N, Smith L, López-Sánchez GF, Bitsika V, Demurtas J, et al. Pet ownership and symptoms of depression: a prospective study of older adults. J Affect Disord. 2020;264:35–39. doi: 10.1016/j.jad.2019.11.134. [DOI] [PubMed] [Google Scholar]
- 146.Hoummady S, Chaise L, Guillot M, Rebout N. All pet owners are not the same: End-of-Life caregiver expectations and profiles. Top Companion Anim Med. 2025;65:100960. doi: 10.1016/j.tcam.2025.100960. [DOI] [PubMed] [Google Scholar]
- 147.Testoni I, De Cataldo L, Ronconi L, Colombo ES, Stefanini C, Dal Zotto B, et al. Pet grief: tools to assess owners’ bereavement and veterinary communication skills. Animals (Basel) 2019;9(2):67. doi: 10.3390/ani9020067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Pun JKH. An integrated review of the role of communication in veterinary clinical practice. BMC Vet Res. 2020;16(1):394. doi: 10.1186/s12917-020-02558-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Corr SA, Lund TB, Sandøe P, Springer S. Cat and dog owners’ expectations and attitudes towards advanced veterinary care (AVC) in the UK, Austria and Denmark. PLoS One. 2024;19(3):e0299315. doi: 10.1371/journal.pone.0299315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Fulmer AE, Laven LJ, Hill KE. Quality of life measurement in dogs and cats: a scoping review of generic tools. Animals (Basel) 2022;12(3):400. doi: 10.3390/ani12030400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Fortin-Choquette R, Coe JB, Bauman CA, Teller LM. Promoters and detractors identify virtual care as "worlds better than nothing": a qualitative study of participating veterinarians' perception of virtual care as a tool for providing access. Vet Sci. 2025;12(2):136. doi: 10.3390/vetsci12020136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Boone G, Pang DSJ, Shih HY, Moody CM. Incorporating video telehealth for improving at-home management of chronic health conditions in cats: a focus on chronic mobility problems. Front Vet Sci. 2025;12:1510006. doi: 10.3389/fvets.2025.1510006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Pyatt AZ, Walley K, Wright GH, Bleach ECL. Co-produced care in veterinary services: a qualitative study of UK stakeholders' perspectives. Vet Sci. 2020;7(4):149. doi: 10.3390/vetsci7040149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Lundahl L, Powell L, Reinhard CL, Healey E, Watson B. A pilot study examining the experience of veterinary telehealth in an underserved population through a university program integrating veterinary students. Front Vet Sci. 2022;9:871928. doi: 10.3389/fvets.2022.871928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Arathoon J, Van Patter L. Veterinary ethics and companion animal euthanasia: what can we learn from critical disability studies? Front Vet Sci. 2024;11:1412327. doi: 10.3389/fvets.2024.1412327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Strand EB, Scoresby K, Walker H, Hernandez A, Accornero V, Messinger L, et al. Life with pets study: lower income veterinary clients’ perception of pets’ quality of life. Front Vet Sci. 2024;11:1422359. doi: 10.3389/fvets.2024.1422359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Paz BF, Ferreira MGPA, Martins KR, Uccella L, Barboza de Nardi A. Practical principles of palliative care in veterinary oncology: alleviating the suffering of the animal, owner, and veterinarian. Vet Med Int. 2024;2024(1):5565837. doi: 10.1155/2024/5565837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Spitznagel MB, Patrick K, Hillier A, Gober M, Carlson MD. Caregiver burden, treatment complexity, and the veterinarian-client relationship in owners of dog with skin disease. Vet Dermatol. 2022;33(3):208–213. doi: 10.1111/vde.13065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Krishan G, Narang A. Integrative therapies in veterinary practice. Am J Pharmacol Pharmacother. 2015;2(1):50–55. [Google Scholar]
- 160.Memon MA. In: Integrative Veterinary Medicine. Memon MA, Xie H, editors. Wiley; 2023. Introduction to integrative veterinary medicine; pp. 1–9. [Google Scholar]
- 161.Ashall V, Millar K, Hobson-West P. Informed consent in veterinary medicine: ethical implications for the profession and the animal ‘patient’. Food Ethics. 2018;1(3):247–258. doi: 10.1007/s41055-017-0016-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Gruen ME, Lascelles BDX, Colleran E, Gottlieb A, Johnson J, Lotsikas P, et al. 2022 AAHA pain management guidelines for dogs and cats. J Am Anim Hosp Assoc. 2022;58(2):55–76. doi: 10.5326/JAAHA-MS-7292. [DOI] [PubMed] [Google Scholar]

