Skip to main content

ORIGINAL RESEARCH article

Front. Vet. Sci., 01 February 2021
Sec. Animal Nutrition and Metabolism
This article is part of the Research Topic Nutrition and Management of Animals We Keep as Companions View all 17 articles

Early Life Modifiable Exposures and Their Association With Owner Reported Inflammatory Bowel Disease Symptoms in Adult Dogs

  • 1Department of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
  • 2Department of Nutrition and Clinical Nutrition, Faculty of Veterinary Medicine, Beni-Suef University, Beni-Suef, Egypt

Background: Inflammatory bowel disease (IBD) is an idiopathic multifactorial disease in humans and dogs, usually assigned to the interactions between genes, gut microbiota, diet, environment, and the immune system. We aimed to investigate the modifiable early life exposures associated with IBD in dogs.

Materials and Methods: The study data was extracted from the validated owner-reported DogRisk food frequency questionnaire. This was a cross-sectional questionnaire-based study that tested 21 different early life dietary and environmental, demographic and genetic variables for their association with IBD or not, in adult dogs. A total of 7,015 dogs participated in this study. The study covered early life periods; prenatal, neonatal, early, and late postnatal periods. Two feeding patterns, a non-processed meat-based diet (NPMD) and an ultra-processed carbohydrate-based diet (UPCD) were studied. Data was analyzed using logistic regression analysis with a backward stepwise deletion.

Results: From the final models we found that the NPMD during early and late postnatal periods were significantly associated with lower IBD risk later in life. The UPCD during the same periods was associated with a higher risk of IBD incidence. Also, the maternal diet during the neonatal period showed a non-significant trend of lower IBD risk in the offspring with the NPMD and a higher IBD risk with the UPCD. Additionally, the normal body weight of puppies during the first 6 months of age was associated with a lower risk of IBD in adulthood while, slim puppies associated significantly with IBD in adulthood. From the non-modifiable background variables, we identified the maternal history of IBD as the strongest risk factor for later incidence of IBD. Furthermore, male dogs were twice as likely to develop IBD as female dogs were.

Conclusions: It is reassuring for owners to know that they themselves can have an impact on their dog's health. A high-fat, low-carbohydrate NPMD exposure during early life, and a normal body condition in puppyhood were significantly associated with less IBD in adult dogs. The opposite was true for UPCD exposure and abnormal body condition score in 6 month old puppies.

Introduction

Canine inflammatory bowel disease (IBD) is a group of chronic idiopathic enteropathies in dogs characterized by persistent and/or recurrent gastrointestinal symptoms (13). In this study we will refer to these enteropathies as IBD. The disease usually affects middle-aged dogs with no gender predisposition (4, 5); although intermittent symptoms have been noted even in puppies < 6 months of age (5). Clinical phenotypes of IBD have been identified and used to define specific forms of IBD with varying breed predisposition [(1, 5, 6), Table 1]. To date, the etiopathogenesis of idiopathic IBD, both in humans and canines, is not fully understood. Current literature supports the concept that IBD is usually assigned to the interactions between genetics, gut microenvironment (dietary microbiota and diet composition), and the host immune system (1, 2). The genetic component of the disease has been recognized using both genome-wide association and candidate gene approaches in humans (14, 15) and dogs (6, 16, 17).

TABLE 1
www.frontiersin.org

Table 1. Inflammatory bowel disease prone breeds.

Mounting evidence from human epidemiological studies suggests that it is wise to focus on exploring the role that early life exposures have on influencing the gut microbiome and immune modulation, as it in turn can modify the disease risk (1821). Several theories encourage identifying the role of environmental stimulants, including diet, in triggering the inflammatory response. The most prominent of them is the hygiene hypothesis which states that an increased frequency of immune disorders can be attributed to a reduction in enteric microbiota during early life. This has been presumed to be due to exaggerated sanitation, which results in an untrained, and therefore malfunctioning, immune system (22, 23). The newborn immune maturation is mainly driven by the early life exposure to microbes (24). The gut microbiota is the central source of the postnatal microbial exposure (25). The early life diet has a profound effect on the neonate gut microbiota and thereby also on immune regulation (26). Dietary patterns are a fundamental part of a healthy lifestyle and diets can influence gut microbial ecosystems, promoting gut health in dogs and humans. Recently, diet composition has been shown to substantially impact the abundance and modulation of gut microbiome in dogs and humans (2734). Moreover, the diet processing; whether the diet is offered as a non-processed/raw diet or as an ultra-processed diet, has been observed to impact human and canine health (35, 36).

Research regarding the role of the early diet on IBD incidence in small animals is scarce. One study on cats analyzed the role that early life events and diet had on gastrointestinal symptoms that developed later in life (37). They found that when owners reported diarrhea, vomiting, and/or decreased consumption of commercial diets before their cat was 16 weeks of age, it was also associated with gastrointestinal symptoms occurring at least twice between 6 and 30 months of age (37). Although the disease is frequently presented at animal clinics, there is no data on the true prevalence of IBD in dogs (4). Currently there are no studies that identify early life exposures that might act as risk factors for chronic IBD development in dogs. Furthermore, the possible influence of a non-processed meat based diet and an ultra-processed carbohydrate based diet on the prevalence of IBD in dogs has not been previously assessed. Only one canine study found a significant risk of developing gastrointestinal diseases if a dog had previously suffered from a parvovirus infection (38). Therefore, it is important to investigate modifiable early life risk factors for canine IBD that might have an impact on future immune system stimulation. The main aim of the present study was to investigate possible associations of modifiable early life exposures, dietary and environmental, with owner-reported IBD incidence in later life. In addition, we aimed to test previous known risk factors of the disease, such as maternal history, gender, and breed.

Materials and Methods

The Questionnaire and Study Population

The study data was extracted from the DogRisk food frequency questionnaire (FFQ) data. This FFQ is an online validated ongoing questionnaire (39) http://www.ruokintakysely.fi/. It has been available online for dog owners since 2009, when it was launched by us at the University of Helsinki, Finland. The whole questionnaire is in Finnish language. As mentioned elsewhere (36, 39, 40) the FFQ includes 50 questions generating 1,332 data points, reported by the dog owners. It aims to gather information on the owner's dog's diets and lifestyle at different time points throughout its life, as well as data on the dog's health conditions, background, and demographic information. In addition to gathering information on the dog itself, it also contains several questions concerning the dogs' mothers' early maternal diets and their diseases. The FFQ has an ethical approval (29.4.2016) from the University of Helsinki Viikki campus ethical board.

The questionnaire received 16,559 responses between 2009 and 2019. The dogs under 1 year of age were excluded from this study in order to avoid reverse causality. Also, participants who had not answered the question about whether their dogs had been suffering from IBD or not were excluded. Otherwise, all breeds and both sexes were included. After all questionnaire test answers, robot answers, and duplicates had been removed, 7,015 participants were eligible for the study (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1. Flow chart of the study population.

Study Design and Tested Variables

This is a once-answered, and in that respect cross-sectional, questionnaire-based study asking about multiple exposures at different time points, therefore also making it longitudinal. This study has been carried out to investigate the association between early life modifiable exposures (dietary and environmental) and the incidence of owner-reported IBD later in life. In addition, we tested the associations between non-modifiable genetic and demographic variables and IBD incidence. The study tested only one dependent categorical dichotomous variable, concerning IBD, for association with 21 different independent categorical and continuous variables (Table 2). The dependent variable obtained by responding either “Yes” or “No” to the question: “Has your dog suffered from inflammatory bowel disease (IBD), chronic bowel symptoms, chronic bowel ‘allergies’?” The study cases were obtained when the owners responded “Yes,” while those who responded “No” were chosen as study controls.

TABLE 2
www.frontiersin.org

Table 2. Frequencies of the tested variables in the cases, controls, and total study cohort.

We analyzed four early life periods, prenatal (pregnancy period), neonatal (the 1st 3–4 weeks of life, i.e., the lactation period), early postnatal (from 1 to 2 months of age) and late postnatal periods (from 2 to 6 months of age) as shown in Figure 2.

FIGURE 2
www.frontiersin.org

Figure 2. Pathway of the study variables at different time points. Prenatal period image adapted from https://dogs.lovetoknow.com/wiki/Canine_Gestation, neonatal period image adapted from https://www.yorkbeach.co.uk/puppies/daisy_2016.html, early postnatal period image adapted from https://i.ytimg.com/vi/8nt7M12CTa0/maxresdefault.jpg, and late postnatal period image adapted from https://www.pets4homes.co.uk/pet-advice/what-to-expect-of-your-puppy-at-4-to-6-months-old.html.

The modifiable early life variables that were tested covered nutritional, environmental and lifestyle factors. We compared two common feeding patterns, the non-processed meat-based diets (NPMD) and the ultra-processed carbohydrate-based diets (UPCD) during the following early life periods: the maternal diet during pregnancy, the maternal diet during lactation, the young puppy first solid diet and the puppy diet in the period between 2 and 6 months of age. The NPMD is a diet rich in fresh animal proteins and fats (red meat, poultry, fish, organs, bones, lard, fish oils etc.) and low in carbohydrates but including raw vegetables, fruits or berries for micronutrients and vegetal fibers. The NPMD is either commercial or prepared at home by chopping, grating, mixing and freezing the ingredients. The UPCD refers to commercially produced extruded kibble. Typically, 40–60% of the contents of the UPCD are processed carbohydrates (mostly grains, rice, potatoes etc. but also some vegetable pulp). The two diets; NPMD and UPCD, exhibit different macronutrient profiles but may also differ in many other ways.

We tested four environmental and lifestyle factors during the early and late postnatal periods including outdoor activity, rest hours, type of flooring, and the body condition score. The body condition score (BCS) was a 5-category scale where the owner could choose between 1 = very slim, 2 = slim, 3 = normal, 4 = round/fat, and 5 = obese.

The questions about vaccination and deworming programs of the pregnant dams and puppies under 1 year of age were also tested for the association with the dependent variable. The question regarding the dog's mother was: “Did you vaccinate/deworm the dam while she was pregnant or just before?” The question regarding the puppy asked whether or not it had received 2–4 vaccinations before the age of 1 year? The answers of these questions were, “yes,” “no” or “I do not know/I do not remember.” Only the yes and no answers were used in the analyses.

The final five questions regarded the non-modifiable genetic and demographic variables, namely: maternal history of IBD, dog age, dog gender, dog color (specifically wanting to know the amount of white in the coat) and if the dog breed is prone to IBD or not prone to IBD (Table 1). The variable of IBD prone breed or not, was gathered from the literature (Table 1).

Statistical Methods

The categorical and discrete variables were presented as frequencies n (%) using cross-tabulation for the cases, controls and the total study population, while the continuous variables were summarized as means and standard deviations (mean ± SD). The disease prevalence was calculated using cross-tabulation as ratios of the diseased dogs in the total population and within each age group. Moreover, the prevalence was calculated after stratifying the FFQ cohort for gender, maternal history, and disease predisposition in the different breeds.

The association of the tested independent variables with IBD symptoms in adult dogs was calculated using logistic regression analyses. Firstly, the variables were analyzed using univariate logistic regression and the variables with a p < 0.2 were used for final modeling. Five final models were created using the backward stepwise regression method. The first model included the demographic non-modifiable variables, the other four models contained the early life modifiable exposures during prenatal life, neonatal life, early postnatal life and late postnatal life, respectively. The five models were adjusted for age and the statistical significance was considered for p-values lower than 0.05 (*), 0.01 (**), and 0.001 (***). To help the veterinarian or nutritionist reader make an informed choice regarding the type of food that they usually prescribes in their practice, we report our regression analysis using two dummy variables that were created for the dichotomous variables instead of one. The missing values were not imputed. To test the fitness of the regression models an Omnibus test p-value should be lower than 0.05, a Hosmer and Lemeshow test p-value should be larger than 0.05 and the Nagelkerke's R should be as big as possible (41, 42). The statistical analyses were performed using SPSS version 25. The visualization of odds ratios was carried out using the forest plot package (43) in R software version 3.5.1 (44).

Results

Inflammatory Bowel Disease Prevalence (IBD) in the Finnish DogRisk Food Frequency Questionnaire (FFQ) Population

The prevalence of IBD in the FFQ population differs between the age groups and when the population was stratified for gender, history of maternal disease, white color coat ratio, and IBD prone breeds as shown in Figure 3.

FIGURE 3
www.frontiersin.org

Figure 3. Inflammatory bowel disease prevalence within different age groups in the DogRisk food frequency questionnaire population, n = 10468, (A) and when the population was stratified for gender (B), maternal history (C), and disease predisposition in the different breeds (D). *The difference between the two groups within each age group is significant at P < 0.05.

Variables Characteristics

The distribution of the tested variables within the cases, controls and the total study cohort are presented in Table 2 as frequencies (%) and numbers (n) for the categorical variables, while the scale variables are presented as means ± SDs (Table 2).

Regression Analysis

The univariate logistic regression analysis showed 10 significant associations (p < 0.05). Additionally, six variables (p < 0.2) were also included in the final models (Table 3).

TABLE 3
www.frontiersin.org

Table 3. Associations of early life covariates with inflammatory bowel disease in dogs based on univariate logistic regression analyses.

From the multivariate logistic regression models, four early-life exposures showed a significant association with canine IBD incidence in adulthood and one early-life exposure showed a non-significant “trend” as shown in Figure 4. The final models' odds ratios for the associations of the non-modifiable and the early life modifiable factors with IBD in adult dogs are presented in Figure 4. A p < 0.05 and an OR > 1 means increased risk for IBD while p < 0.05 and OR < 1 means decreased risk.

FIGURE 4
www.frontiersin.org

Figure 4. Forest plot of odds ratios for the association of early life exposures and inflammatory bowel disease in adult dogs based on multivariate logistic regression analysis (n = 7015, adjusted for dog age). Included dogs for each model: model 1 (n = 1976), model 2 (n = 1022), model 3 (n = 2218), model 4 (n = 1830), and model 5 (n = 1532). Modifiable exposures included models from 2 to 5 as following model 2: prenatal period, model 3: neonatal period, model 4: early postnatal period, model 5: late postnatal period. OR, odds ratio; CI, confidence interval; IBD, inflammatory bowel disease; NPMD, non-processed meat based diet; UPCD, ultra-processed carbohydrate based diet; VS, versus. §non-significant p > 0.05.

Discussion

A growing trove of literature regarding genes and the microbiome confirmed by data from human epidemiological studies advocates the importance of early life exposures in modulating the risk of IBD incidence (18, 4548). However, the impact that early life environmental and nutritional exposures have on IBD risk in dogs has not been previously examined. This is the first study to investigate the association between modifiable early life exposures and the incidence of IBD in adult dogs. Exploring the most pertinent early life exposures provides clues to the etiopathogenesis of this complex disease and allows for the development of a primary prevention strategy for IBD in dogs. At the same time, as a dog's pregnancy and early life is shorter than a human's, but otherwise similar in both terms of environment and diet, this study might also provide insight regarding the prevention of human IBD. Our results are divided into the non-modifiable factors that cannot be altered, and the modifiable factors, where the owners' choices can have an impact on their dog's future health.

Non-modifiable Exposures and How They Related to Owner Reported IBD

Our analysis of the non-modifiable background related factors showed that the maternal history of IBD was directly associated with IBD incidence in the offspring in later life. To the best of our knowledge, the family history of IBD in dogs and the risk of the disease morbidity in the offspring later, has not been demonstrated before. The role that the family disease history has on the offspring's subsequent IBD development in adulthood, has been studied in several human studies (18, 4953). Our findings are similar to a human study, where they found that the greatest risk factor for IBD was having one or more affected first-degree relative (52). In the case of having two parents with IBD, the long-term risk of developing the disease in the offspring was over 30% (53). The increased risk of IBD in dogs with a maternal history of it supports the proposed genetic component of the disease (6). However, other theories exist: Freud et al. (54) concluded that long-term morbidity of pediatric diseases in the offspring up to 18 years of age (such as cardiovascular, endocrinal, respiratory, hematological, neurological, urinary, and gastrointestinal diseases) were not affected by maternal IBD during pregnancy. This suggests that genetics alone cannot explain the increased prevalence of IBD, instead it synergizes with other potential risk factors, especially diet (1, 2).

In the present study, the male dogs exhibited a higher risk of developing IBD than females did. Similarly, a Japanese study that studied the prevalence of chronic enteropathy in dogs through using an insurance-based population found that there was a slightly higher disease prevalence in males compared to female dogs (55). On the other hand, some studies have reported that there is no gender predisposition of IBD development in dogs (5, 56). As IBD is often used as an umbrella term for different diseases, the different types of IBD and the different breeds studied may be the reason for this discrepancy between different studies.

In our study, there was a significant association between the incidence of IBD and the dog's age. We found that the highest IBD prevalence within different age groups was in middle-aged dogs, from 5 to 10 years of age. This finding is in accordance with one study (5), and with anecdotal knowledge that IBD is mainly a disease of middle-aged dogs.

The incidence of IBD showed a significant difference between the IBD-prone and non-prone breed cohorts (Figure 3). Breed predisposition has been recognized for IBD [(7, 8), Table 1]. Gluten sensitive enteropathy has been reported with Irish setters (7, 8), while ulcerative colitis has been found to be most common in boxers (7, 9, 10, 12). Chronic enteropathy or protein-losing enteropathy is the most common form of IBD. This form can affect many breeds and mixed-breed dogs (2, 7, 8, 12). German shepherd dogs are more prone to develop antibiotic responsive diarrhea (13), especially tylosin responsive diarrhea (11).

Modifiable Exposures and How They Related to Owner Reported IBD

Next we present the modifiable prenatal exposures that were significantly associated with IBD prevalence in adulthood. Surprisingly, the maternal vaccination during or just before pregnancy was significantly associated with more IBD in the offspring in adulthood, while not vaccinating the dam was associated with less IBD in the offspring at adult age. Literature on the risks of prenatal exposure to vaccines and incidence of IBD later in dogs remains limited. However, our finding is in line with studies of adjuvants such as aluminum salts and mercury-containing compounds such as thimerosal, that have been reported to be involved in the development of inflammatory disorders (57, 58) and stimulation of the immune system in humans (59). A human study testing the effect of childhood vaccination and risk of IBD later found an association between an early life measles vaccination and the risk of IBD later (60), while two other studies found no association between measles vaccines in early life and the risk of IBD (61, 62). Moreover, a meta-analysis showed that the majority of childhood vaccinations against different infectious diseases do not increase the risk for subsequent IBD development (63). We also analyzed the associations between early life puppy vaccinations and IBD and found that these vaccinations had no association with IBD. As there results are controversial and our data only suggestive, we recommend further studies looking at this before any conclusions are drawn.

From the modifiable postnatal exposures, the maternal diet during the lactation/neonatal period appeared to be an important modifiable factor in our study, although it did not reach significance in our final models. Evidence proposes that the maternal gut microbiome may be translocated intracellularly to the mammary glands through the systemic circulation (64). This has been studied in humans, where the authors concluded that the maternal diet in the neonatal period alters the gut microbiome of the offspring, which subsequently modulates the risk of related diseases through breastfeeding (65). The role of the maternal diet during lactation has been confirmed to shape the lifelong health of the newborn human child (66). However, the direct impact of the maternal diet on the milk microbiome during pregnancy and lactation was not established in our study. Future research is needed to test how different feeding patterns in dogs during pregnancy and lactation affects the neonate gut microbiota diversity.

During the early and late postnatal periods, there were significant negative associations between the NPMD and incidence of IBD for the same dogs later in life. These findings are in accordance with several studies, which stated that a raw meat-based diet stimulated the growth of a balanced gut microbiome in healthy dogs which improved their gut function in comparison to dogs fed an extruded dry food (28, 30, 36, 67). Our observations are in accordance with the hygiene hypothesis, which states that the more microbial exposures in the early life, the more developed immune system in adulthood (22, 23). This confirms the role of the NPMD in developing the immune system when given in the early life (14, 68).

Besides the interaction between diet, gut microbiome, and the immune system discussed above (Figure 5), there are additional factors that may explain the effect of the early life diet on the offspring's risk of IBD in adulthood. First, the maternal and postnatal diet can permanently modify the epigenetic programming in the newborn during its formative early life. A recent review suggested that the individual becomes resistant or susceptible to diseases by altering inflammatory molecular pathways and immunity via epigenetic modification (69). However, the underlying mechanisms are not clear. Evidence suggests that the maternal gut microbiome can affect the neonate gut microbiome by causing a particular epigenetic signature that can influence the intestinal barrier's properties against inflammatory diseases (69).

FIGURE 5
www.frontiersin.org

Figure 5. Prospective mechanisms underlining the relationship between early diet and IBD in adult dogs. Edited from the Microbiome Labs (https://microbiomelabs.com/).

Next we discuss the effects that distinct dietary components may have on gut health and physiology. The UPCD contains a high ratio of (carbohydrate and gluten-rich) processed cereal, and hence may increase the dogs' risk of developing gluten sensitive enteropathy (7072). Furthermore, in mouse studies, the authors found that the consumption of diets rich in refined carbohydrates increased intestinal dysbiosis, permeability, and inflammation (73, 74). As sugars are highly absorbable and carbohydrates are chains of short sugar molecules, a high-carbohydrate diet may cause a high sugar concentration in the intestinal lumen. This in turn may supply excessive energy for the microbiota and hence lead to intestinal bacterial overgrowth (75). The UPCD also contains a low dietary fiber content. Dietary fibers, also called prebiotics, are non-digestible carbohydrates responsible for maintaining normal intestinal homeostasis through encouraging bacterial diversity, protecting mucosal barriers, and increasing the synthesis of short chain fatty acids (76, 77). Furthermore, the processing methods, which the UPCD or their ingredients, are exposed to, such as rendering, milling, fermentation, heat treatment, and extrusion negatively affects the bioavailability of key minerals and vitamins present in the diet (78, 79). Feed additives, e.g., dietary emulsifiers which are used to improve kibble texture have been found to contribute to the increased incidence of inflammatory diseases both by reducing the gut microbiota diversity and by reducing the thickness of the mucus layer (80). Since dogs have no requirement for carbohydrates (81), this underlines the fact that carbohydrates should not be a main ingredient in a dog's diet (82). As carnivores, dogs have evolved to eat fresh meat-based diets rich in animal proteins, fats, and animal fibers (83, 84). A canine study showed that a raw meat-based diet was both highly palatable and highly digestible when compared to an extruded diet. Moreover, although including lots of fats and proteins, the NPMD decreased blood triglyceride levels, maintained normal serum chemistry and high fecal quality, and altered the fecal microbiota and metabolite concentration (85).

The body condition score during the late puppyhood period revealed that there was a significantly negative association between IBD development and dogs with normal body weight, while puppies with a lower body weight associated positively with developing the disease.

Prior research on IBD shows that there is an association between increase in obesity in the population and IBD prevalence (86). Obesity is a known perpetual factor of systemic low-grade inflammation (87), generating a pro-inflammatory state and immune dysregulation in obese puppies (88). Furthermore, a review also established an association between increased IBD morbidity and malnutrition (89). Additionally, a study found that young IBD patients have been demonstrated to have weight loss prior to diagnosis (90), where 57% of patients with Crohn's disease and 51% of patients with ulcerative colitis exhibited a significantly low body mass index prior to diagnosis. The association of a low body condition score during puppyhood with IBD incidence later in life maybe a reflection of active undiagnosed disease at young age. The loss in weight prior to or at the time of the disease diagnosis is attributed to many factors. As IBD is an inflammatory disease, it stimulates catabolism, alternates metabolic hormones levels, increases the gastrocolic reflux leading to loss of appetite, and causes nutrient malabsorption (90). Although incidences of IBD in puppies < 6 months old have been recorded (5), it remains unclear whether the loss in body weight during puppyhood is a cause or a consequence of IBD. Further research is needed to understand the physiological disturbance underlying the association between the body condition score and active IBD.

Limitations and Strengths of the Study

The present study has some limitations. Firstly, the study design is an owner-reported cross-sectional study which makes it prone to recall bias. In order to overcome this limitation, a thorough questionnaire of the activity and dietary habits of 2,000 different aged Finnish dogs was conducted prior to this FFQ (not published). Based on these results, we constructed this DogRisk internet-based FFQ where all of the foods that were mentioned by owners in the first questionnaire were included as multiple choice questions in the new one. Two empty rows were also given to the owner, if there still would have been things missing. It is considered better to give options to owners that they can choose from when they see them written, that that they should remember all things by themselves. Another limitation is that the FFQ is based on frequencies and not quantity. Also, due to the lack of details regarding the ingredients of the food variables, we were not able to examine the nutrient profiles of the diets. Moreover, the study cases and controls were reported by the owners. We did not ask the owners for a veterinary visit wrap-up, including the diagnosis. To some extent, this has been overcome by validating different types of diseases from the FFQ in a previous validation study (39). Another limitation is that the data has a lot of missing values. This was overcome by retaining a reasonable sample size (n = 7,015).

The present study also has strengths. It is the first study to investigate early life environmental and nutritional exposures and their association with IBD incidence in dogs. It is also the first study to investigate the associations between genetic and demographic variables on IBD incidence in dogs. A wide range of covariates were covered and validated data was used (39), both which favor the study's validity, reliability and reproducibility. Furthermore, our data included information about four early life periods, pre- and postnatal, which covered 8 months of the dog's life starting from conception till the age of 6 months. Finally, reverse causality was considered and addressed in this study when choosing the age limits of the cases and controls.

Conclusions and Recommendations

In conclusion, our study identified many modifiable early life risk and protective factors for canine IBD incidence in adulthood. We conclude that a raw feeding pattern, which typically features a moderate protein, high fat, and low carbohydrate macronutrient profile, during neonatal, early and late postnatal periods, as maternal and puppy diets, was associated with a decreased risk of IBD later in life. Conversely, a dry extruded feeding pattern, which mostly includes a moderate protein, low fat, and high carbohydrate macronutrient profile, during the same periods, was associated with an increased risk of developing IBD later in life. In addition, maternal vaccination during or just prior to pregnancy was significantly associated with a higher risk of IBD incidence in the offspring later. Furthermore, a normal body condition score was associated with a decreased risk of IBD development, while being abnormal in weight (very lean) was associated with an increased risk of IBD at adult age. As foretold, the identified non-modifiable risk factors from the current study such as dogs with a history of maternal IBD, male dogs, middle-aged dogs, and dogs from breeds prone to IBD development, were all associated with an increased risk of IBD prevalence. Our novel findings regarding the modifiable risk factors provide clues for further research in the disease prevention. The study findings suggest a causal relationship but does not prove it. Future prospective longitudinal dietary intervention studies are needed to confirm our findings, as well as to develop primary strategies for IBD prevention in dogs.

Data Availability Statement

Being funded by commercial sources has not altered our adherence to Frontiers policies on sharing data and materials. The data is still used for theses and will be totally disclosed later. However, for research purposes the data can be obtained upon request from the authors: YW5uYS5oaWVsbS1iam9ya21hbiYjeDAwMDQwO2hlbHNpbmtpLmZp.

Ethics Statement

The animal study was reviewed and approved by Ethical approval (29.4.2016) from the University of Helsinki Viikki campus ethical board. Written informed consent was obtained from the owners for the participation of their animals in this study.

Author Contributions

MH and AH-B planned, designed, and drafted the study. AH-B organized the database. MH and AH-B performed the data extraction and did the statistical analysis together with KV who created the figures from statistical software. All authors wrote sections of the manuscript and edited it, contributed to manuscript revision, read, and approved the submitted version.

Funding

Vetcare Oy Ltd (www.vetcare.fi) payed the IT company that host the internet based FFQ and lent one of their researchers to collaborate with us on the FFQ in 2009. The Swedish Cultural Foundation (www.kulturfonden.fi/in-english; Grant no. 13/3307-1304), MUSH Ltd. (www.mushbarf.com), and Moomin characters Ltd. (www.moomin.com/en/) were paying a researcher to prepare the FFQ data for analysis in 2014–16. A second Swedish Cultural Foundation grant (www.kulturfonden.fi/in-english; Grant no. 18/138798) has lately payed the salary of the lead author of this study, MH. The company Natures Variety Ltd. (www.naturesvariety.com) has given us general funding that we have used for the salary of Siru Salin. All other authors are on University salary or student grants. During the last 5 years we have also conducted three crowdfundings that has given the research group funds that we still use for research expenses such as open access publishing. One of them was handled through Dr. Mercola (www.mercola.com). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We are thankful to the dog owners who participated in the study by answering the DogRisk food frequency questionnaire (DogRisk FFQ: www.ruokintakysely.fi). We are grateful to Adjunct Professor, Ph.D. Vesa Niskanen for valuable statistical consultation. We also would like to thank senior researcher Shea Beasley for letting us use our common data [the DogRisk data bank ownership is divided between AH-B (60%) and Ph.D. Shea Beasley (40%)]. Lastly we wish to thank senior researcher Liisa Uusitalo, DVM Maritsa Palmunen, and postdoc researcher Liisa Korkalo for early data extraction.

Abbreviations

IBD, inflammatory bowel disease; NPMD, non-processed meat based diet; UPCD, ultra-processed carbohydrate based diet; FFQ, food frequency questionnaire.

References

1. Simpson KW, Jergens AE. Pitfalls and progress in the diagnosis and management of canine inflammatory bowel disease. Vet Clin North Am Small Anim Pract. (2011) 41:381–98. doi: 10.1016/j.cvsm.2011.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Cerquetella M, Spaterna A, Laus F, Tesei B, Rossi G, Antonelli E, et al. Inflammatory bowel disease in the dog: differences and similarities with humans. World J Gastroenterol. (2010) 16:1050–6. doi: 10.3748/wjg.v16.i9.1050

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Jergens AE. Inflammatory bowel disease: current perspectives. Vet Clin North Am Small Anim Pract. (1999) 29:501–21. doi: 10.1016/S0195-5616(99)50032-6

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Dandrieux JRS, Mansfield CS. Chronic enteropathy in canines: prevalence, impact and management strategies. Vet Med. (2019) 10:203–14. doi: 10.2147/VMRR.S162774

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Yogeshpriya S, Veeraselvam M, Krishnakumar S, Arulkumar T, Jayalakshmi K, Saravanan M, et al. Technical review on inflammatory bowel disease in dogs and cats. Int J Sci Environ Technol. (2017) 6:1833–42.

Google Scholar

6. Peiravan A, Bertolini F, Rothschild MF, Simpson KW, Jergens AE, Allenspach K, et al. Genome-wide association studies of inflammatory bowel disease in German shepherd dogs. PLoS ONE. (2018) 13:e0200685. doi: 10.1371/journal.pone.0200685

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Dodds WJ. Guide to Congenital and Deritable Disorders in Dogs. hsVma. Davis, CA: The Humane Society Veterinary Medical Association (2011). Available online at: https://www.hsvma.org/assets/pdfs/guide-to-congenital-and-heritable-disorders.pdf

8. Kathrani A, Werling D, Allenspach K. Canine breeds at high risk of developing inflammatory bowel disease in the south-eastern UK. Vet Rec. (2011) 169:635. doi: 10.1136/vr.d5380

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Davies DR, O'Hara AJ, Irwin PJ, Guilford WG. Successful management of histiocytic ulcerative colitis with enrofloxacin in two Boxer dogs. Aust Vet J. (2004) 82:58–61. doi: 10.1111/j.1751-0813.2004.tb14643.x

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Stokes JE, Kruger JM, Mullaney T, Holan K, Schall W. Histiocytic ulcerative colitis in three non-boxer dogs. J Am Anim Hosp Assoc. (2001) 37:461–5. doi: 10.5326/15473317-37-5-461

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Westermarck E, Skrzypczak T, Harmoinen J, Steiner JM, Ruaux CG, Williams DA, et al. Tylosin-responsive chronic diarrhea in dogs. J Vet Intern Med. (2005) 19:177–86. doi: 10.1111/j.1939-1676.2005.tb02679.x

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Hall EJ. Breed-specific intestinal disease. In: World Small Animal Veterinary Association 29th World Congress Proceedings. Rhodes (2004).

Google Scholar

13. Hall EJ. Antibiotic-responsive diarrhea in small animals. Vet Clin Small Anim. (2011) 41:273–86. doi: 10.1016/j.cvsm.2010.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Andersena V, Olsenc A, Carbonneld F, Tjønnelandc A, Vogel U. Diet and risk of inflammatory bowel disease. Dig Liver Dis. (2012) 44:185–94. doi: 10.1016/j.dld.2011.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Jostins L, Ripke S, Weersma RK, Duerr RH, McGovern DP, Hui KY, et al. Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease. Nature. (2012) 491:119–24. doi: 10.1038/nature11582

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Kathrani A, Lee H, White C, Catchpole B, Murphy A, German A, et al. Association between nucleotide oligomerisation domain two (Nod2) gene polymorphisms and canine inflammatory bowel disease. Vet Immunol Immunopathol. (2014) 161:32–41. doi: 10.1016/j.vetimm.2014.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Karlsson EK, Baranowska I, Wade CM, Salmon HNH, Zody MC, Anderson N, et al. Efficient mapping of mendelian traits in dogs through genome-wide association. Nat Genet. (2007) 1321–8. doi: 10.1038/ng.2007.10

PubMed Abstract | CrossRef Full Text | Google Scholar

18. van der Sloot KWJ, Weersma RK, Dijkstra G. Development and validation of a web-based questionnaire to identify environmental risk factors for inflammatory bowel disease: the Groningen IBD Environmental Questionnaire (GIEQ). J Gastroenterol. (2019) 54:238–48. doi: 10.1007/s00535-018-1501-z

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Ananthakrishnan AN. Epidemiology and risk factors for IBD. Nat Rev Gastroenterol Hepatol. (2015) 12:205–17. doi: 10.1038/nrgastro.2015.34

PubMed Abstract | CrossRef Full Text | Google Scholar

20. van der Sloot KJW, Amini M, Peters V, Dijkstra G, Alizadeh BZ. Inflammatory bowel diseases: review of known environmental protective and risk factors involved. Inflamm Bowel Dis. (2017) 23:1499–509. doi: 10.1097/MIB.0000000000001217

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Koloski NA, Jones M, Weltman M, Kalantar J, Bone C, Gowryshankar A, et al. Identification of early environmental risk factors for irritable bowel syndrome and dyspepsia. Neurogastroenterol Motil. (2015) 27:1317–25. doi: 10.1111/nmo.12626

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Strachan DP. Hay fever, hygiene, and household size. BMJ. (1989) 299:1259–60. doi: 10.1136/bmj.299.6710.1259

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Klement E, Lysy J, Hoshen M, Avitan M, Goldin E, Israeli E. Childhood hygiene is associated with the risk for inflammatory bowel disease: a population-based study. Am J Gastroenterol. (2008) 103:1775–82. doi: 10.1111/j.1572-0241.2008.01905.x

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Nash MJ, Frank DN, Friedman JE. Early microbes modify immune system development and metabolic homeostasis-the “Restaurant” hypothesis revisited. Front Endocrinol. (2017) 8:349. doi: 10.3389/fendo.2017.00349

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Rodríguez JM, Murphy K, Stanton C, Stanton C, Ross RP, Kober OI, et al. The composition of the gut microbiota throughout life, with an emphasis on early life. Microb Ecol Health Dis. (2015) 26:26050. doi: 10.3402/mehd.v26.26050

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Parigi SM, Eldh M, Larssen P, Gabrielsson S, Villablanca EJ. Breast milk and solid food shaping intestinal immunity. Front Immunol. (2015) 6:415. doi: 10.3389/fimmu.2015.00415

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Deng P, Swanson KS. Gut microbiota of humans, dogs and cats: current knowledge and future opportunities and challenges. Br J Nutr. (2015) 113:S6–17. doi: 10.1017/S0007114514002943

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Sandri M, Dal Monego S, Conte G, Sgorlon S, Stefanon B. Raw meat based diet influences faecal microbiome and end products of fermentation in healthy dogs. BMC Vet Res. (2016) 13:65. doi: 10.1186/s12917-017-0981-z

PubMed Abstract | CrossRef Full Text | Google Scholar

29. David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, et al. Diet rapidly and reproducibly alters the human gut microbiome. Nature. (2013) 505:559–63. doi: 10.1038/nature12820

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Sandri M, Sgorlon S, Conte G, Serra A, Dal Monego S, Stefanon B. Substitution of a commercial diet with raw meat complemented with vegetable foods containing chickpeas or peas affects faecal microbiome in healthy dogs. Ital J Anim Sci. (2019) 18:1205–14. doi: 10.1080/1828051X.2019.1645624

CrossRef Full Text | Google Scholar

31. Kerr KR, Forster G, Dowd SE, Ryan EP, Swanson KS. Effects of dietary cooked navy bean on the fecal microbiome of healthy companion dogs. PLoS ONE. (2013) 8:e74998. doi: 10.1371/journal.pone.0074998

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Middelbos IS, Vester Boler BM, Qu A, White BA, Swanson KS, Fahey GCJ. Phylogenetic characterization of fecal microbial communities of dogs fed diets with or without supplemental dietary fiber using 454 pyrosequencing. PLoS ONE. (2010) 5:e9768. doi: 10.1371/journal.pone.0009768

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Panasevich MR, Kerr KR, Dilger RN, Fahey GC Jr, Guérin-Deremaux L, Lynch GL, et al. Modulation of the faecal microbiome of healthy adult dogs by inclusion of potato fibre in the diet. Brit J Nutr. (2015) 113:125–33. doi: 10.1017/S0007114514003274

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Stercova E, Kumprechtova D, Auclair E, Novakova J. Effects of live yeast dietary supplementation on nutrient digestibility and fecal microflora in beagle dogs. J Anim Sci. (2016) 94:2909–18. doi: 10.2527/jas.2016-0584

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Monteiro CA, Cannon G, Moubarac JC, Levy RB, Louzada MLC, Jaime PC. The UN decade of nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr. (2018) 21:5–17. doi: 10.1017/S1368980017000234

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Hemida M, Vuori KA, Salin S, Moore R, Anturaniemi J, Hielm-Björkman A. Identification of modifiable pre- and postnatal dietary and environmental exposures associated with owner-reported canine atopic dermatitis in Finland using a web-based questionnaire. PLoS ONE. (2020) 15:e0225675. doi: 10.1371/journal.pone.0225675

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Kathrani A, Blackwell EJ, Williams JL, Gruffydd-Jones T, Murray JK, Hezzell M, et al. Exploring early life events including diet in cats presenting for gastrointestinal signs in later life. Vet Rec. (2019) 185:144. doi: 10.1136/vr.105040

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Kilian E, Suchodolski JS, Hartmann K, Mueller RS, Wess G, Unterer S. Long-term effects of canine parvovirus infection in dogs. PLoS ONE. (2018) 13:e0192198. doi: 10.1371/journal.pone.0192198

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Roine J, Uusitalo L, Hielm-Bjorkman A. Validating and reliability testing the descriptive data and three different disease diagnoses of the internet-based DOGRISK questionnaire. BMC Vet Res. (2016) 12:30. doi: 10.1186/s12917-016-0658-z

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Anturaniemi J, Uusitalo L, Hielm-Björkman A. Environmental and phenotype-related risk factors for owner-reported allergic/atopic skin symptoms and for canine atopic dermatitis verified by veterinarian in a Finnish dog population. PLoS ONE. (2017) 12:e0178771. doi: 10.1371/journal.pone.0178771

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Dohoo I, Martin W, Stryhn H, Hilbe J, Anthony J. Methods in Epidemiologic Research. Charlottetown: VER Inc. (2012). p. 499–500.

Google Scholar

42. Hosmer DW, Lemeshow S. Applied Logistic Regression. 2nd ed. New York, NY: Wiley (2000). doi: 10.1002/0471722146

CrossRef Full Text | Google Scholar

43. Gordon M, Lumley T. Advanced forest plot using 'grid' graphics. R Package Version 1.9. (2019). Available online at: https://CRAN.R-project.org/package=forestplot

44. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna (2017). Available online at: https://www.R-project.org/

Google Scholar

45. Vedamurthy A, Ananthakrishnan AN. Influence of environmental factors in the development and outcomes of inflammatory bowel disease. Gastroenterol Hepatol. (2019) 15:72–82.

PubMed Abstract | Google Scholar

46. Guo AY, Stevens BW, Wilson RG, Russell CN, Cohen MA, Sturgeon HC, et al. Early life environment and natural history of inflammatory bowel diseases. BMC Gastroenterol. (2014) 14:216. doi: 10.1186/s12876-014-0216-8

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Roberts SE, Wotton CJ, Williams JG, Griffith M, Goldacre MJ. Perinatal and early life risk factors for inflammatory bowel disease. World J Gastroenterol. (2011) 17:743–49. doi: 10.3748/wjg.v17.i6.743

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Kostic AD, Xavier RJ, Gevers D. The microbiome in inflammatory bowel disease:current status and the future ahead. Gastroenterology. (2014) 146:1489–99. doi: 10.1053/j.gastro.2014.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Probert CS, Jayanthi V, Hughes AO, Thompson JR, Wicks AC, Mayberry JF. Prevalence and family risk of ulcerative colitis and Crohn's disease: an epidemiological study among Europeans and South Asians in Leicester-shire. Gut. (1993) 34:1547–51. doi: 10.1136/gut.34.11.1547

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Halme L, Turunen U, Helio T, Paavola P, Walle T, Miettinen A, et al. Familial and sporadic inflammatory bowel disease: comparison of clinical features and serological markers in a genetically homogeneous population. Scand J Gastroenterol. (2002) 37:692–8. doi: 10.1080/00365520212511

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Yang H, McElree C, Roth MP, Shanahan F, Targan SR, Rotter JI. Familial empirical risks for inflammatory bowel disease: differences between Jews and non-Jews. Gut. (1993) 34:517–24. doi: 10.1136/gut.34.4.517

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Peeters M, Nevens H, Baert F, Hiele M, de Meyer AM, Vlietinck R, et al. Familial aggregation in Crohn's disease: increased age-adjusted risk and concordance in clinical characteristics. Gastroenterology. (1996) 111:597–603. doi: 10.1053/gast.1996.v111.pm8780562

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Halme L, Paavola-Sakki P, Turunen U, Lappalainen M, Farkkila M, Kontula K. Family and twin studies in inflammatory bowel disease. World J Gastroenterol. (2006) 12:3668–72. doi: 10.3748/wjg.v12.i23.3668

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Freud A, Beharier O, Walfisch A, Sergienko R, Landau D, Sheiner E. Maternal inflammatory bowel disease during pregnancy is not a risk factor for long-term morbidity of the offspring. J Crohns Colitis. (2016) 10:1267–72. doi: 10.1093/ecco-jcc/jjw083

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Inoue M, Hasegawa A, Hosoi Y, Sugiura K. Breed, gender and age pattern of diagnosis for veterinary care in insured dogs in Japan during fiscal year 2010. Prev Vet Med. (2015) 119:54–60. doi: 10.1016/j.prevetmed.2015.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Hall EJ, German AJ. Malattia infiammatoria intestinale. In: Steiner JM, editor. Gastroenterologia del Cane e del Gatto. Milano: Elsevier. (2009). p. 296–311.

57. Pineton de Chambrun G, Body-Malapel M, Frey-Wagner I, Djouina M, Deknuydt F, Atrott K, et al. Aluminum enhances inflammation and decreases mucosal healing in experimental colitis in mice. Mucosal Immunol. (2014) 7:589–601. doi: 10.1038/mi.2013.78

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Geier DA, King PG, Hooker BS, Dórea JG, Kern JK, Sykes LK, et al. Thimerosal:clinical, epidemiologic and biochemical studies. Clin Chim Acta. (2015) 444:212–20. doi: 10.1016/j.cca.2015.02.030

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Lerner A. Aluminum is a potential environmental factor for Crohn's disease induction: extended hypothesis. Ann N Y Acad Sci. (2007) 1107:329–45. doi: 10.1196/annals.1381.035

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Thompson NP, Montgomery SM, Pounder RE, Wakefield AJ. Is measles vaccination a risk factor for inflammatory bowel disease? Lancet. (1995) 345:1071–4. doi: 10.1016/S0140-6736(95)90816-1

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Davis RL, Kramarz P, Bohlke K, Benson P, Thompson RS, Mullooly J, et al. Measles-mumps-rubella and other measles-containing vaccines do not increase the risk for inflammatory bowel disease: a case-control study from the vaccine safety datalink project. Arch Pediatr Adolesc Med. (2001) 155:354–9. doi: 10.1001/archpedi.155.3.354

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Shaw SY, Blanchard JF, Bernstein CN. Early childhood measles vaccinations are not associated with paediatric IBD: a population-based analysis. J Crohns Colitis. (2015) 9:334–8. doi: 10.1093/ecco-jcc/jjv029

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Pineton de Chambrun G, Dauchet L, Gower-Rousseau C, Cortot A, Colombel JF, Peyrin-Biroulet L. Vaccination and risk for developing inflammatory bowel disease: a meta-analysis of case–control and cohort studies. Clin Gastroenterol Hepatol. (2015) 13:1405–15. doi: 10.1016/j.cgh.2015.04.179

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Latuga MS, Stuebe A, Seed PC. A review of the source and function of microbiota in breast milk. Semin Reprod Med. (2014) 32:68–73. doi: 10.1055/s-0033-1361824

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Chu DM, Meyer KM, Prince AL, Aagaard KM. Impact of maternal nutrition in pregnancy and lactation on offspring gut microbial composition and function. Gut Microbes. (2016) 7:459–70. doi: 10.1080/19490976.2016.1241357

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Zhou X, Du L, Shi R, Chen Z, Zhou Y, Li Z. Early-life food nutrition, microbiota maturation and immune development shape life-long health. Crit Rev Food Sci Nutr. (2019) 59:S30–8. doi: 10.1080/10408398.2018.1485628

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Sallander M, Adolfsson J, Bergvall K, Hedhammar Å, Nodtvedt A. The effect of early diet on canine atopic dermatitis (CAD) in three high-risk breeds. Open Dermatol J. (2009) 3:73–80. doi: 10.2174/1874372200903010073

CrossRef Full Text | Google Scholar

68. Dixon LJ, Kabi A, Nickerson KP, McDonald C. Combinatorial effects of diet and genetics on inflammatory bowel disease pathogenesis. Inflamm Bowel Dis. (2015) 21:912–22. doi: 10.1097/MIB.0000000000000289

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Indrio F, Martini S, Francavilla R, Corvaglia L, Cristofori F, Mastrolia SA, et al. Epigenetic matters: the link between early nutrition, microbiome, and long-term health development. Front Pediatr. (2017) 5:178. doi: 10.3389/fped.2017.00178

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Hall EJ, Batt RM. Dietary modulation of gluten sensitivity in a naturally occurring enteropathy of Irish setter dogs. Gut. (1992) 33:198–205. doi: 10.1136/gut.33.2.198

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Hall EJ, Batt RM. Delayed introduction of dietary cereal may modulate the development of gluten-sensitive enteropathy in Irish setter dogs. J Nutr. (1991) 121:S152–3. doi: 10.1093/jn/121.suppl_11.S152

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Hall EJ, Batt RM. Differential sugar absorption for the assessment of canine intestinal permeability: the cellobiose/mannitol test in gluten-sensitive enteropathy of Irish setters. Res Vet Sci. (1991) 51:83–7. doi: 10.1016/0034-5288(91)90036-N

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Martinez-Medina M, Denizot J, Dreux N, Robin F, Billard E, Bonnet R, et al. Western diet induces dysbiosis with increased E coli in CEABAC10 mice, alters host barrier function favouring AIEC colonisation. Gut. (2014) 63:116–24. doi: 10.1136/gutjnl-2012-304119

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Kamada N, Kim YG, Sham HP, Vallance BA, Puente JL, Martens EC, et al. Regulated virulence controls the ability of a pathogen to compete with the gut microbiota. Science. (2012) 336:1325–9. doi: 10.1126/science.1222195

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Steinhoff-Wagner J, Zitnan R, Schonhusen U, Pfannkuche H, Hudakova M, Metges CC, et al. Diet effects on glucose absorption in the small intestine of neonatal calves: Importance of intestinal mucosal growth, lactase activity, and glucose transporters. J Dairy Sci. (2014) 97:6358–69. doi: 10.3168/jds.2014-8391

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Andoh A, Bamba T, Sasaki M. Physiological and anti-inflammatory roles of dietary fiber and butyrate in intestinal functions. JPEN J Parenter Enteral Nutr. (1999) 23:S70–3. doi: 10.1177/014860719902300518

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Looijer-van LMA, Dieleman LA. Prebiotics in chronic intestinal inflammation. Inflamm Bowel Dis. (2009) 15:454–62. doi: 10.1002/ibd.20737

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Satpute M, Annapure U. Approaches for delivery of heat sensitive nutrients through food systems for selection of appropriate processing techniques: a review. J Hyg Eng Design. (2013) 4:71–92.

Google Scholar

79. Reddy MB, Love M. The impact of food processing on the nutritional quality of vitamins and minerals. In: Jackson LS, Knize MG, Morgan JN, ediors. Impact of Processing on Food Safety. Advances in Experimental Medicine and Biology. Boston, MA: Springer (1999). p. 459. doi: 10.1007/978-1-4615-4853-9_7

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Chassaing B, Koren O, Goodrich JK, Poole AC, Srinivasan S, Ley RE, et al. Dietary emulsifiers impact the mouse gut microbiota promoting colitis and metabolic syndrome. Nature. (2015) 519:92–6. doi: 10.1038/nature14232

PubMed Abstract | CrossRef Full Text | Google Scholar

81. National Research Council. Nutrient Requirements of Dogs. Washington, DC: The National Academies Press (1974).

82. Hilton J. Carbohydrates in the nutrition of dog. Can Vet J. (1990) 31:128–9.

PubMed Abstract | Google Scholar

83. Coppinger R, Coppinger L. Dogs. In: A startling New Understanding of Canine Origin, Behavior and Evolution. Prentice, Hall and IBD. New York, NY: Scribner (2001).

Google Scholar

84. Brown S. The canine ancestral diet. In: Unlocking the Canine Ancestral Diet: Healthier Dog Food the ABC Way. Wenatchee, WA: Dogwise Publishing (2010). p. 5–11.

85. Algya KM, Cross TL, Leuck KN, Kastner ME, Baba T, Lye L, et al. Apparent total-tract macronutrient digestibility, serum chemistry, urinalysis, and fecal characteristics, metabolites and microbiota of adult dogs fed extruded, mildly cooked, and raw diets. J Anim Sci. (2018) 96:3670–83. doi: 10.1093/jas/sky235

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Ng SC, Zeng Z, Niewiadomski O, Tang W, Bell S, Kamm MA, et al. Early course of inflammatory bowel disease in a population-based inception cohort study from 8 countries in Asia and Australia. Gastroenterology. (2016) 150:86–95. doi: 10.1053/j.gastro.2015.11.019

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Ellulu MS, Patimah I, Khaza'ai H, Rahmat A, Abed Y. Obesity and inflammation: the linking mechanism and the complications. Arch Med Sci. (2017) 13:851–63. doi: 10.5114/aoms.2016.58928

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Cortese L, Terrazzano G, Pelagalli A. Leptin and immunological profile in obesity and its associated diseases in dogs. Int J Mol Sci. (2019) 20:2392. doi: 10.3390/ijms20102392

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Waitzberg DL, Ravacci GR, Raslan M. Hospital hyponutrition. Nutr Hosp. (2011) 26:254–64. doi: 10.1590/S0212-16112011000200003

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Elsherif Y, Alexakis C, Mendall M. Determinants of weight loss prior to diagnosis in inflammatory bowel disease: a retrospective observational study. Gastroenterol Res Pract. (2014) 2014:762191. doi: 10.1155/2014/762191

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: chronic enteropathies, canine, diet, microbiome, gut, immune, prenatal

Citation: Hemida M, Vuori KA, Moore R, Anturaniemi J and Hielm-Björkman A (2021) Early Life Modifiable Exposures and Their Association With Owner Reported Inflammatory Bowel Disease Symptoms in Adult Dogs. Front. Vet. Sci. 8:552350. doi: 10.3389/fvets.2021.552350

Received: 04 May 2020; Accepted: 04 January 2021;
Published: 01 February 2021.

Edited by:

Anna Katharine Shoveller, University of Guelph, Canada

Reviewed by:

Sónia Félix Lucena, University of Evora, Portugal
Tanmoy Rana, West Bengal University of Animal and Fishery Sciences, India

Copyright © 2021 Hemida, Vuori, Moore, Anturaniemi and Hielm-Björkman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Manal Hemida, bWFuYWwuaGVtaWRhJiN4MDAwNDA7aGVsc2lua2kuZmk=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.