Despite decades of research in humans and mouse models of disease, substantial gaps remain in our understanding of pathogenic mechanisms underlying the development of type 1 diabetes. Furthermore, translation of therapies from preclinical efforts capable of delaying or halting β-cell destruction has been limited. Hence, a pressing need exists to identify alternative animal models that reflect human disease. Canine insulin deficiency diabetes is, in some cases, considered to follow autoimmune pathogenesis, similar to NOD mice and humans, characterized by hyperglycemia requiring lifelong exogenous insulin therapy. Also similar to human type 1 diabetes, the canonical canine disorder appears to be increasing in prevalence. Whereas islet architecture in rodents is distinctly different from humans, canine pancreatic endocrine cell distribution is more similar. Differences in breed susceptibility alongside associations with MHC and other canine immune response genes parallel that of different ethnic groups within the human population, a potential benefit over NOD mice. The impact of environment on disease development also favors canine over rodent models. Herein, we consider the potential for canine diabetes to provide valuable insights for human type 1 diabetes in terms of pancreatic histopathology, impairment of β-cell function and mass, islet inflammation (i.e., insulitis), and autoantibodies specific for β-cell antigens.

The incidence of type 1 diabetes (T1D) is increasing worldwide (1), and despite immense research efforts, the inciting cause remains elusive. Animal models, in particular the NOD mouse, are often used to study T1D pathogenesis and have proven quite informative given certain similarities in disease-associated features with humans (2). However, the impact of physiological variances between mice and humans (e.g., immune system components, islet architecture, metabolism), taken together with limited success stories involving preclinical translation of therapies, has caused increasing concerns (3). Thus, a need exists for alternative animal models that may add additional insights to the human disease, with companion animals providing one potential avenue to fill this role. With this Perspective, we consider the current knowledge of naturally occurring canine diabetes and, following comparison with humans and the NOD mouse model of T1D, propose it may serve as an informative model of the human disease.

Diabetes mellitus is one of the most common endocrine diseases affecting pet dogs (4). Similar to human T1D (5), the incidence of canine diabetes also appears to be increasing: in the U.S., the prevalence of canine diabetes at veterinary teaching hospitals increased from 19 per 10,000 to 64 per 10,000 cases between 1970 and 1999 (6). Virtually all dogs require insulin therapy at diagnosis (4,7), regardless of the underlying cause. Canine diabetes can be classified into two major categories: insulin deficiency diabetes and insulin resistance diabetes (4). A canine equivalent to human type 2 diabetes does not seem to occur, and although obesity is associated with insulin resistance, this does not progress to overt diabetes unless other predisposing factors are present (4). A variety of causes of insulin resistance diabetes have been suggested, which primarily involve hormonal antagonism of insulin activity, related to the diestrus period (progesterone associated), exogenous or endogenous excess of glucocorticoids, or the presence of acromegaly (4). Some studies report a female predominance (6,8,9), whereas others have not demonstrated a sex predilection (10,11). This discrepancy may be due to geographic location of the study population as dogs in Europe are more likely to remain sexually intact (and at risk for diestrus diabetes) than dogs in the U.S. There is no strong sex predilection in human T1D, but geographic variation exists, with Finland, Sardinia, and Sweden having the highest incidence of childhood-onset T1D (12). In the NOD mouse, however, a clear association with sex exists, with 60–90% of females and 10–65% of males developing the disorder (13,14).

Most diabetic dogs suffer from insulin deficiency diabetes, with the underlying cause of the pancreatic β-cell loss or destruction most likely a result of an inflammatory process in the exocrine or endocrine tissues and autoimmunity suspected in some cases (4). Pancreatitis may be diagnosed concurrently with diabetes in some cases (15). The role of autoimmunity is currently less clear than in human T1D and the NOD mouse, in which an immune-mediated pathogenesis is well established (14,16). The majority of dogs are middle-aged to older (>5–7 years) at diagnosis (6,8,10,11), although a relatively uncommon juvenile or congenital form of insulin deficiency diabetes has been reported in some breeds (4). This contrasts with the juvenile onset that is more common than adult-onset disease in people (16), though there is an emerging realization that T1D onset occurs more frequently in adults than once believed (17). It also parallels the late (postsexual maturation) onset of disease in the NOD mouse at 10–26 weeks of age (13,14).

Similar to humans, the reference range for normal blood glucose in dogs is 81–118 mg/dL (4.5–6.6 mmol/L) (Table 1). Clinical signs of symptomatic diabetes in all three species are similar (polyuria, polydipsia, polyphagia, and weight loss) (4,13,16). Canine diabetes is classically diagnosed when hyperglycemia (typically >250 mg/dL [13.9 mmol/L]) (18,19) and glucosuria are identified in the presence of clinical signs (Table 1). This is similar to NOD mice, in which a diagnosis is typically made when blood glucose is >250 mg/dL (13.9 mmol/L) on two consecutive readings (Table 1) (20); however, no single diagnostic criterion exists (21). Diabetes in people can be diagnosed using specific criteria for hemoglobin A1C or plasma glucose (16) (Table 1) and, thus, may be more likely to be recognized prior to the onset of symptoms. As glucosuria in dogs does not usually develop until blood glucose is between 180 and 220 mg/dL (10 and 12.2 mmol/L) (7), dogs that may have early or subclinical diabetes are often not identified. Ketoacidosis may be present at diagnosis or may develop during therapy (4). This is comparable to human T1D in which diabetic ketoacidosis remains a somewhat common feature of clinical presentation (22). The NOD mouse develops ketosis without insulin therapy (13,23,24), but through evaluation for ketoacidosis in the literature, this complication appears rare (24).

Few reports exist describing β-cell function in dogs. In the majority of diabetic dogs, baseline fasting C-peptide was similar to or lower than healthy control canines, whereas the insulin and C-peptide response to glucagon stimulation was blunted, indicating insulin deficiency (25,26). These results parallel findings in human T1D in which there is insulin deficiency, assessed using C-peptide as a marker of β-cell function (27), and lifelong insulin therapy is required at diagnosis (22). Although the NOD mice can survive for several weeks without insulin therapy after diabetes onset (23), insulin therapy markedly prolongs survival (13). In addition to the NOD mouse, several other rodent models are used to study autoimmune diabetes, most notably the BioBreeding (BB) rat (14,23,28). Although an in-depth description of the BB rat is beyond the scope of this Perspective, important characteristics are summarized in Table 1.

Islet Architecture

The basic islet characteristics for each of the three species are summarized in Table 2. Canine islets have, on average, 78% β-cells, 11% α-cells, <11% δ-cells (29), and <4% pancreatic polypeptide (PP) cells (30). In comparison, human islets have fewer β-cells and more α-cells, averaging 50% β-cells, 40% α-cells, 10% δ-cells, and rare PP cells (30,31). NOD mice fall somewhere in between, with an average of 60–80% β-cells, 15–20% α-cells, <10% δ-cells, and <1% PP cells in their islets (30). Islet endocrine cell distribution is strikingly different between humans and mice. In mice, β-cells are located in the center of the islet and α- and δ-cells on the periphery (Fig. 1A), whereas in humans, endocrine cells are generally distributed throughout the islets without a distinct central and peripheral zone (Fig. 1B) (30,31). Canine islets do not have a distinct zonal distribution, with β-cells commonly located in the center of the islet but also in the periphery, α-cells located in either the center or periphery, and δ-cells having a random distribution (Fig. 1C) (29,32,33). In humans and dogs, the distribution of cell types varies with the region of the pancreas (33,34). Both species have a PP cell–dominant region that is located in the uncinate process of the head of the pancreas in humans (34) and in the right limb of the pancreas in dogs, which is analogous to the head of the human pancreas (33).

Pancreatic Histopathology in T1D

The histopathological characteristics reported in the pancreata of diabetic dogs have been variable. Historically, studies reported a slight to marked decrease in islet number and mild to marked reduction in β-cells with normal to proportionately decreased numbers of α- and δ-cells compared with healthy control animals (35,36). Remaining β-cells were described as swollen, vacuolated, and degranulated (35). Inflammatory mononuclear islet infiltrates (described as insulitis) were observed in 6 of 13 dogs (36). These studies included female dogs with no information on breed or neutering status, and it is possible that some of these cases represented diestrus-related diabetes, which is considered to have a different pathogenesis than the adult-onset insulin deficiency diabetes that is the focus of this discussion. Ahlgren et al. (37) reported similar findings of varying numbers of β-cells in the islets of diabetic dogs, as well as enlarged and vacuolated islets but no insulitis. The majority of these dogs were female and neutering status was again unknown, so some of these dogs may also have had diestrus-related diabetes. A more recent study including predominantly males and neutered females reported small islets with few β-cells (Fig. 2A) (29). The composition of the islets in diabetic dogs (30% β-cells, 40% α-cells, and 30% δ-cells and PP cells) were markedly different than in controls (78% β-cells, 11% α-cells, <11% δ-cells (29), and <4% PP cells) (30). Additionally, diabetic islets were poorly defined compared with controls, and there was no evidence of lymphocyte infiltration except for in a single young puppy (29). Insulitis in a diabetic puppy has been reported previously but appears to be an uncommon finding in juvenile dogs (Fig. 2B) (38). Dogs with long-standing disease were essentially devoid of β-cells (29). Importantly, most pathological studies include few dogs at symptomatic onset; even then, it is plausible that a period of active insulitis early in disease (even prior to clinical diagnosis) may no longer be detectable.

The findings thus far in dogs contrast with pathological findings in human patients with T1D and the NOD mouse, in which insulitis is a defining feature. Insulitis is identified by the presence of a lymphocytic infiltrate affecting the periphery (peri-insulitis) or the interior of the islet (intrainsulitis) (39). A consensus definition in people requires ≥15 CD45+ cells/islets in a minimum of 3 islets for diagnosis of insulitis combined with the presence of β-cell devoid islets (pseudo-atrophic islets) (Fig. 2C and D) (39). Usually <10% of all islets, predominantly insulin-positive islets (i.e., those with β-cells), are affected (39). The frequency of insulitis is reportedly higher in young patients with disease duration less than 1 month, with one review evaluating the collective literature suggesting 73% of those <14 years old having insulitis compared with 29% of those aged 15–40 years (40). Other studies, however, noted a higher prevalence of insulitis with shorter disease duration, but no correlation with age (41). With respect to the natural history of β-cell loss, although T1D patients have reduced β-cell area, residual β-cells exist for decades after the symptomatic onset of disease (42), which contrasts to the current findings in canine diabetes.

Insulitis is a prominent feature of diabetes in the NOD mouse and pathological characteristics have been far more widely and thoroughly studied than in humans or dogs because of the availability of pancreatic samples. Classically defined mononuclear infiltration begins at approximately 4 weeks of age, prior to the onset of diabetes (14,43); however, recent efforts have noted that cells of the innate immune system may enter as early as 2 weeks of age (44). Initially, the inflammatory infiltrate is predominantly located in the peri-islet region and begins focally (14,43). This focal mononuclear accumulation (predominantly lymphocytes) progresses to surround the islet and forms a “tertiary lymphoid organ” structure (43). As the mice age, intraislet lymphocyte invasion becomes prominent, along with a marked loss of β-cells by approximately 12 weeks of age (14). At the time of clinical onset of disease (i.e., 10–26 weeks of age), β-cell mass is severely decreased, pseudo-atrophic islets are present, and virtually all islets are affected by insulitis (Fig. 2E and F) (43). Islet diameter decreases as duration of disease increases, along with the magnitude of lymphocytic infiltration; similar to humans, islets without β-cells often lack insulitis (45). Mice that do not develop diabetes also develop insulitis, but with high variability in severity (45).

Concurrent exocrine pancreatic changes have been found in conjunction with diabetes in all three species. There is somewhat conflicting evidence of a role for exocrine pancreatic disease as a predisposing factor for the β-cell loss seen in canine diabetes. Some histopathological studies have reported no or minimal/very focal areas of pancreatitis (29,37), whereas in others, 20–33% of dogs demonstrated acute or chronic pancreatitis with variable fibrosis (35,36). In the latter studies, it is unclear whether these lesions were severe or diffuse enough in all cases to cause diabetes (35,36). In dogs with histopathologically confirmed chronic pancreatitis, 5 of 14 (36%) had concurrent diabetes, of which 2 also had exocrine pancreatic insufficiency (15). β-Cell function was decreased in 5 of 6 (83%) nondiabetic dogs with chronic pancreatitis based on glucagon stimulation testing (46). Thus, the evidence supports pancreatitis as a cause or contributing factor in diabetes in some dogs, although the overall prevalence and significance of exocrine inflammation as a cause of β-cell destruction is unclear. In people, inflammatory infiltrates (e.g., lymphocytes and dendritic cells) can be found in the exocrine pancreas in patients with and without insulin-containing islets (47). The NOD mouse has the most well defined and consistent changes described. Prior to the onset of diabetes, exocrine pancreas is affected by mononuclear infiltration including infiltration of exocrine pancreatic venules, periductular infiltrates, and focal inflammation in connective tissue (focal pancreatitis) (48). In contrast to both dogs and people, however, at the time of disease onset, extraislet inflammation is absent (48).

In NOD mice, a prominent distinguishing feature from human and canine diabetes is the concurrent increase in lymphocytes in peripheral lymphoid organs, blood, other endocrine tissues, and glands (14,43), including lacrimal and salivary glands (i.e., a model of Sjögren syndrome) (49), a disorder not associated with T1D in humans or dogs.

The genetic basis for canine diabetes is not fully established and, similar to both humans and the NOD mouse, has proven to be somewhat complex. Compared with the NOD mouse, dogs have much higher genetic diversity and are divided into breeds with variable predisposition to diseases (50). There are remarkable breed differences in susceptibility to canine diabetes, suggesting an underlying genetic component (4) (Table 3). Dog leukocyte antigen (DLA) genes coding for MHC class II have been associated with both disease susceptibility and protection (51). Three different DLA haplotypes involving the DRB1-DQA1-DQB1 loci have been shown to confer increased risk among a variety of dog breeds, along with one protective haplotype (51). It is unclear at this time, however, whether these DLA haplotypes are markers of a susceptible or resistant breed rather than a susceptible or resistant individual (51). The possibility exists that genetic risk is fixed within a breed, and thus case-control studies within a breed may not be the best means to study genetic association. To date, associations between breed/genetics and autoimmune markers (autoantibodies, insulitis) have not been reported in diabetic dogs. In humans, genes coding for human leukocyte antigen (HLA, analogous to DLA) are the most established genetic risk factor for T1D (52). Similar to dogs, the DRB1-DQA1-DQB1 loci in the HLA class II region has the strongest association, with several different haplotypes conferring susceptibility or protection (reviewed in Noble and Valdes [52]). There is also evidence that HLA class I and III loci contribute to disease susceptibility, although strong linkage disequilibrium in the HLA region leads to challenges in analyzing these alleles individually (53,54). In the NOD mouse, MHC alleles (H2g7) similarly confer the strongest susceptibility, and this region (termed Idd1) contains MHC class I and II genes (2,55). To the authors’ knowledge, there have been no published investigations into MHC class I or III in dogs.

More than 60 other loci have been associated with T1D risk in humans (56), highlighting the complexity of genetic determinants of the disease. Those with the highest odds ratios include INS, CTLA4, IL2RA, PTPN22, and IFIH1 (57). These genes, aside from insulin (an apparent key autoantigen), are associated with the immune response and are also implicated in other autoimmune diseases (57). In the NOD mouse, a number of other candidate genes have also been identified, including genes encoding IL-2, IL-21, CTLA-4, T-cell receptor, CD30, TNFR2, and β2-microglobulin (reviewed in refs. 2,55). Although only some of these genes have orthologs in human T1D, identification of these genes has improved understanding of the immunopathogenesis of the disease (2). Efforts to identify other candidate genes in dogs, similar to those contributing to risk in humans, have not found conclusive associations, although there may be breed-specific genetic factors that are masked when assessing the diabetic dog population as a whole. An analysis of 18 genes associated with monogenic diabetes in humans did not find consistent associations in a large cohort of dogs (58). A large single nucleotide polymorphism (SNP)-based analysis of the human candidate genes PTPN22, IL10, IL12B, IL6, IL4, RANTES, IFNG, INS, IL1A, TNFA, and IGF2 found 24 SNPs linked to susceptibility and 13 SNPs that were protective in dogs (59). However, the findings were variable comparing breeds, with some SNPs associated with increased susceptibility in one breed but protective in another (59). A similar cohort of dogs was further assessed for association of diabetes risk with SNPs related to genes encoding IFN-γ, IL-10, IL-12β, IL-4, and CTLA-4, and several susceptibility and protective associations were found in a variety of breeds (60,61). These findings are intriguing given the involvement of these genes in the immune response and similarities to observations in human T1D; however, the significance of any functional effects of these polymorphisms is unknown at this time. The investigators cautioned that these results require replication and should be interpreted with caution until further investigation into the associated genes can occur with focus on genetic factors in individual breeds (5961).

The role of autoimmunity in the pathogenesis of diabetes in dogs has received far less study than in humans and mice, and although evidence for autoimmunity is present in multiple studies, the results to date are somewhat inconsistent. Evaluation of humoral immunity has primarily focused on circulating autoantibodies that have been documented in humans with T1D. In untreated diabetic dogs, circulating islet cell autoantibodies (ICA) were not detected using either frozen human or canine pancreas (37). Using purified islets from rat insulinoma as an antigen, approximately 12 of 23 (52%) untreated diabetic dogs demonstrated serum anti–β-cell antibodies detected via immunofluorescence (62). This may be analogous to humans who are positive for ICA yet negative for the other autoantibodies (63). Insulin autoantibodies have been detected in 3 of 109 (3%) (64) and 5 of 40 (12.5%) (65) untreated diabetic dogs. Proinsulin autoantibodies were found in 8 of 15 (53%) untreated and 6 of 15 (37.5%) insulin-treated diabetic dogs, but also in 3 of 15 (20%) of control dogs (66). Currently, it is unclear whether the latter is an incidental finding or a possible predictor of future diabetes development. In newly diagnosed, untreated diabetic dogs, autoantibodies against canine GAD65 or IA-2 were found in 4 of 30 (13%) and 3 of 30 (10%), respectively (67), in a population selected for those suspected as having insulin deficiency diabetes. However, in another study, only 1 of 122 (0.8%) treated diabetic dogs had GAD antibodies (37), although this population of dogs likely included a proportion that were affected with insulin resistance diabetes, and blood samples were obtained at variable (sometimes substantial) periods of time after diagnosis. Using human GAD, IA-2, and ZnT8 antibody assays in a recent report, none of 15 diabetic dogs had evidence of autoantibodies, but 3 of 15 control dogs were GAD antibody positive (68). These findings contrast with humans, in which autoantibodies to at least one of the major autoantigens (insulin, GAD65, IA-2, ZnT8) are present in >90% of patients at diagnosis (22,69,70). A number of additional autoantigens have been reported but with much lower sensitivity (69). These autoantibodies are often present prior to the symptomatic onset of disease and can be used to identify at-risk patients (7072). In the NOD mouse, only insulin autoantibodies have been documented reliably, despite findings of insulin, GAD, and IA-2 as target autoantigens (73). Insulin is likely an early autoantigen in the NOD mouse as in humans (2), but whether the same holds true for dogs is currently less well defined. Autoantibodies themselves are not thought to be directly involved in disease pathogenesis and are more likely a biomarker of β-cell autoimmunity in humans (69). Similarly, NOD transgenic mice with B lymphocytes that cannot secrete antibodies still develop diabetes (74). B lymphocytes do heighten the immune response toward β-cells in NOD mice (55), and research suggests that B lymphocytes may play a role in human T1D, likely through antigen presentation (75). To date, no studies have specifically investigated B lymphocytes in canine diabetes.

Other indirect evidence of autoimmunity in dogs was documented using mouse islets exposed to serum from diabetic dogs in vitro; the serum contained complement-fixing ICA that caused decreased stimulated insulin release and lysis of the islet cells (76). None of the minor autoantibodies in humans have been tested in dogs, and screening of an array of autoantigens may aid in picking out canine-unique or -specific autoantibodies. Given that autoantibodies have been detected in some diabetic dogs indicating a component of autoimmunity in a proportion of patients, this area is worth pursuing with additional studies and novel methodologies that may lead to more canine-specific indicators of autoimmunity in this disease.

Cellular immunity has had limited study in diabetic dogs. Using mouse islets in vitro, canine mononuclear cells caused increased basal insulin release and decreased stimulated insulin release, suggesting possible β-cell damage and functional impairment (76). Peripheral blood T-cell proinflammatory responses to insulin were found in two of four diabetic dogs, quantified by IFN-γ production (68). Although two of four control dogs also showed a response, preactivation of T cells was suggested as a cause of potential false-positive results (68). The lack of investigation in this area of canine diabetes is an important knowledge gap when comparing diabetes pathogenesis among species. In humans with T1D, β-cell destruction is largely considered to be mediated by cellular immunity, although direct evidence of this in humans is somewhat limited due to difficulties in studying these mechanisms in living subjects (77). Indirect evidence for the cellular immune response includes the dominance of T lymphocytes, particularly CD8+ (cytotoxic) T cells, within insulitis, and observations that therapies modulating T-cell frequency and function (e.g., regulatory T cells and T effector memory cells) possess the ability to preserve C-peptide production in those with recent-onset disease (78,79). In dogs, it is unclear, based on limited documentation of insulitis (36), whether T cells infiltrate the canine islets, and immunomodulatory therapy has not been reported. Additional evidence of cellular immune dysfunction in human T1D includes β-cell hyperexpression of MHC class I, which may increase their susceptibility to killing by cytotoxic T cells (78), and identification of peripheral T cells having reactivities with known β-cell molecules (80). β-Cell destruction is also predominantly mediated by autoreactive T cells in the NOD mouse (14), and the mechanisms have been far better elucidated. Similar to humans, upregulation of MHC class I on NOD β-cells increases their susceptibility to T-cell–mediated killing (2). Additionally, the MHC class II haplotype found in NOD mice is involved in the lack of immunological tolerance that is a feature of this disease (2). Multiple immunomodulatory methods are known to prevent or reverse diabetes in this species (3).

The innate immune system also plays an important role in diabetes in the NOD mouse, with macrophages identified as early infiltrators in islets that secrete cytokines that are toxic to β-cells and recruit dendritic cells (2). These dendritic cells have impaired maturation and tolerogenic function (55). Natural killer (NK) cells are present in NOD mouse insulitis lesions (2) and are reduced in number and function within peripheral blood (2,55), but the role of NK cells in potentiating or protecting against disease is unclear (81). In humans, NK cells are present in insulitis in addition to T and B lymphocytes, and a small subset of patients has NK cell–dominated insulitis (81). The role of the innate immune system in diabetes has received little attention in dogs. Diabetic dogs have higher serum CXCL8 and MCP-1 (82) and leukocytes that produce more proinflammatory cytokines in response to stimulation with lipopolysaccharide, lipotechoic acid, and peptidoglycan than control dogs (83). It is unknown whether these changes represent a cause or consequence of the disease, but they are suggestive of an inflammatory state.

The limited success in identifying therapeutic strategies for disease prevention and reversal in T1D highlight the need for alternative animal models for comparative and translational research. Dogs with naturally occurring diabetes have the potential to fill this role, based on similarities to humans in metabolic characteristics, genetics, therapeutic needs, and suspected autoimmunity as components of their disease. In particular, studying β-cell biology in defined dog breeds that are highly susceptible or resistant to developing diabetes might provide important insights into pathways and mechanisms that might be exploited therapeutically. It is plausible that each species discussed herein resides on a continuum with respect to the severity and prevalence of autoimmunity, with NOD mice at one end of the spectrum (strongest autoimmune component), dogs at the opposite end (weakest autoimmune component), and humans somewhere in between.

Despite similarities to human disease, canine diabetes remains a relatively unexplored area of research, particularly with respect to the contributions of autoimmunity and genetics and more basic investigations into disease phenotype and metabolic characteristics. Complicating these studies also is the apparent heterogeneity of the diabetic dog population with multiple possible etiologies of β-cell destruction, including exocrine pancreatic disease. Additionally, concurrent diseases causing insulin resistance (e.g., hyperadrenocorticism) may cause or contribute to the disease in some cases, although a canine equivalent to human type 2 diabetes does not seem to occur. We suspect that autoimmunity is a component of disease in a proportion (or possibly, certain breeds) of diabetic dogs. Given that extensive islet destruction is already present at symptomatic onset of disease, earlier disease detection may be necessary in order to identify serological markers of autoimmunity, insulitis, or β-cell loss. Future studies in this area should be performed using community diabetic dogs, rather than breeding diabetic dogs for research colonies, due to both ethical considerations as well as the potential benefits of the dogs living in a similar environment to their human counterparts. An exploration of canine diabetes as an alternative disease model represents a logical next step in the quest for meaningful progress in the diabetes field.

Acknowledgments. The authors sincerely thank Dr. Martha Campbell-Thompson (University of Florida) for providing the human islet image shown in Fig. 1B. The authors also thank Dr. Peter In’t Veld (Brussels Free University) for graciously providing the human islet image shown in Fig. 2C.

Funding. The notions conveyed in this perspective were supported by JDRF, the American Diabetes Association, and the National Institutes of Health (AI42288). J.A.K. was supported by the Robert and Janice McNair Foundation (DRC–P30DK079638), the Diabetes Research Center at Baylor College of Medicine, and the National Institutes of Health (1R01AG040110). The U.K. Canine Diabetes Register and Archive has been supported by the Kennel Club Charitable Trust, Petsavers, the European Commission (FP7-LUPA and GA-201370), and MSD Animal Health. L.J.D. was supported by the Wellcome Trust Veterinary Postdoctoral Fellowship (WT096398MA).

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

1.
DIAMOND Project Group
.
Incidence and trends of childhood type 1 diabetes worldwide 1990-1999
.
Diabet Med
2006
;
23
:
857
866
[PubMed]
2.
Jayasimhan
A
,
Mansour
KP
,
Slattery
RM
.
Advances in our understanding of the pathophysiology of type 1 diabetes: lessons from the NOD mouse
.
Clin Sci (Lond)
2014
;
126
:
1
18
[PubMed]
3.
Roep
BO
,
Atkinson
M
,
von Herrath
M
.
Satisfaction (not) guaranteed: re-evaluating the use of animal models of type 1 diabetes
.
Nat Rev Immunol
2004
;
4
:
989
997
[PubMed]
4.
Catchpole
B
,
Ristic
JM
,
Fleeman
LM
,
Davison
LJ
.
Canine diabetes mellitus: can old dogs teach us new tricks?
Diabetologia
2005
;
48
:
1948
1956
[PubMed]
5.
Dabelea
D
,
Mayer-Davis
EJ
,
Saydah
S
, et al.;
SEARCH for Diabetes in Youth Study
.
Prevalence of type 1 and type 2 diabetes among children and adolescents from 2001 to 2009
.
JAMA
2014
;
311
:
1778
1786
[PubMed]
6.
Guptill
L
,
Glickman
L
,
Glickman
N
.
Time trends and risk factors for diabetes mellitus in dogs: analysis of veterinary medical data base records (1970-1999)
.
Vet J
2003
;
165
:
240
247
[PubMed]
7.
Nelson
RW
,
Reusch
CE
.
Animal models of disease: classification and etiology of diabetes in dogs and cats
.
J Endocrinol
2014
;
222
:
T1
T9
[PubMed]
8.
Davison
LJ
,
Herrtage
ME
,
Catchpole
B
.
Study of 253 dogs in the United Kingdom with diabetes mellitus
.
Vet Rec
2005
;
156
:
467
471
[PubMed]
9.
Fall
T
,
Hamlin
HH
,
Hedhammar
A
,
Kämpe
O
,
Egenvall
A
.
Diabetes mellitus in a population of 180,000 insured dogs: incidence, survival, and breed distribution
.
J Vet Intern Med
2007
;
21
:
1209
1216
[PubMed]
10.
Hess
RS
,
Saunders
HM
,
Van Winkle
TJ
,
Ward
CR
.
Concurrent disorders in dogs with diabetes mellitus: 221 cases (1993-1998)
.
J Am Vet Med Assoc
2000
;
217
:
1166
1173
[PubMed]
11.
Hume
DZ
,
Drobatz
KJ
,
Hess
RS
.
Outcome of dogs with diabetic ketoacidosis: 127 dogs (1993-2003)
.
J Vet Intern Med
2006
;
20
:
547
555
[PubMed]
12.
Tuomilehto
J
.
The emerging global epidemic of type 1 diabetes
.
Curr Diab Rep
2013
;
13
:
795
804
[PubMed]
13.
Makino
S
,
Kunimoto
K
,
Muraoka
Y
,
Mizushima
Y
,
Katagiri
K
,
Tochino
Y
.
Breeding of a non-obese, diabetic strain of mice
.
Jikken Dobutsu
1980
;
29
:
1
13
[PubMed]
14.
Mathews
CE
.
Utility of murine models for the study of spontaneous autoimmune type 1 diabetes
.
Pediatr Diabetes
2005
;
6
:
165
177
[PubMed]
15.
Watson
PJ
,
Archer
J
,
Roulois
AJ
,
Scase
TJ
,
Herrtage
ME
.
Observational study of 14 cases of chronic pancreatitis in dogs
.
Vet Rec
2010
;
167
:
968
976
[PubMed]
16.
American Diabetes Association
.
Diagnosis and classification of diabetes mellitus
.
Diabetes Care
2014
;
37
(
Suppl. 1
):
S81
S90
[PubMed]
17.
Oram
RA
,
Thomas
NM
,
Jones
SE
,
Weedon
MN
,
Hattersley
AT
.
Analysis of diabetes incidence against type 1 diabetes genetic risk score in 150,000 shows autoimmune diabetes presents as often between 30-60 years as before 30 years (Abstract)
.
Diabetes
2016
;
65
(Suppl. 1):
A413
18.
Sears
KW
,
Drobatz
KJ
,
Hess
RS
.
Use of lispro insulin for treatment of diabetic ketoacidosis in dogs
.
J Vet Emerg Crit Care (San Antonio)
2012
;
22
:
211
218
[PubMed]
19.
Walsh
ES
,
Drobatz
KJ
,
Hess
RS
.
Use of intravenous insulin aspart for treatment of naturally occurring diabetic ketoacidosis in dogs
.
J Vet Emerg Crit Care (San Antonio)
2016
;
26
:
101
107
[PubMed]
20.
Mathews
CE
,
Xue
S
,
Posgai
A
, et al
.
Acute versus progressive onset of diabetes in NOD mice: potential implications for therapeutic interventions in type 1 diabetes
.
Diabetes
2015
;
64
:
3885
3890
[PubMed]
21.
Atkinson
MA
.
Evaluating preclinical efficacy
.
Sci Transl Med
2011
;
3
:
96cm22
[PubMed]
22.
Gan
MJ
,
Albanese-O’Neill
A
,
Haller
MJ
.
Type 1 diabetes: current concepts in epidemiology, pathophysiology, clinical care, and research
.
Curr Probl Pediatr Adolesc Health Care
2012
;
42
:
269
291
[PubMed]
23.
Grant
CW
,
Duclos
SK
,
Moran-Paul
CM
, et al
.
Development of standardized insulin treatment protocols for spontaneous rodent models of type 1 diabetes
.
Comp Med
2012
;
62
:
381
390
[PubMed]
24.
Harano
Y
,
Takamitsu
N
,
Keisuke
K
,
Yukio
S
,
Makino
S
.
Evaluation of ketosis and a role of insulin-antagonistic hormones in NOD mouse
. In
Insulitis and Type 1 Diabetes: Lessons From the NOD Mouse
.
Tarui
S
,
Yoshihiro
T
, Eds.
Academic Press Japan, Inc
,
1986
, p.
233
238
25.
Montgomery
TM
,
Nelson
RW
,
Feldman
EC
,
Robertson
K
,
Polonsky
KS
.
Basal and glucagon-stimulated plasma C-peptide concentrations in healthy dogs, dogs with diabetes mellitus, and dogs with hyperadrenocorticism
.
J Vet Intern Med
1996
;
10
:
116
122
[PubMed]
26.
Fall
T
,
Holm
B
,
Karlsson
A
,
Ahlgren
KM
,
Kämpe
O
,
von Euler
H
.
Glucagon stimulation test for estimating endogenous insulin secretion in dogs
.
Vet Rec
2008
;
163
:
266
270
[PubMed]
27.
Jones
AG
,
Hattersley
AT
.
The clinical utility of C-peptide measurement in the care of patients with diabetes
.
Diabet Med
2013
;
30
:
803
817
[PubMed]
28.
Rees
DA
,
Alcolado
JC
.
Animal models of diabetes mellitus
.
Diabet Med
2005
;
22
:
359
370
[PubMed]
29.
Shields
EJ
,
Lam
CJ
,
Cox
AR
, et al
.
Extreme beta-cell deficiency in pancreata of dogs with canine diabetes
.
PLoS One
2015
;
10
:
e0129809
[PubMed]
30.
Steiner
DJ
,
Kim
A
,
Miller
K
,
Hara
M
.
Pancreatic islet plasticity: interspecies comparison of islet architecture and composition
.
Islets
2010
;
2
:
135
145
[PubMed]
31.
Brissova
M
,
Fowler
MJ
,
Nicholson
WE
, et al
.
Assessment of human pancreatic islet architecture and composition by laser scanning confocal microscopy
.
J Histochem Cytochem
2005
;
53
:
1087
1097
[PubMed]
32.
Hawkins
KL
,
Summers
BA
,
Kuhajda
FP
,
Smith
CA
.
Immunocytochemistry of normal pancreatic islets and spontaneous islet cell tumors in dogs
.
Vet Pathol
1987
;
24
:
170
179
33.
Wieczorek
G
,
Pospischil
A
,
Perentes
E
.
A comparative immunohistochemical study of pancreatic islets in laboratory animals (rats, dogs, minipigs, nonhuman primates)
.
Exp Toxicol Pathol
1998
;
50
:
151
172
[PubMed]
34.
Wang
X
,
Zielinski
MC
,
Misawa
R
, et al
.
Quantitative analysis of pancreatic polypeptide cell distribution in the human pancreas
.
PLoS One
2013
;
8
:
e55501
[PubMed]
35.
Gepts
W
,
Toussaint
D
.
Spontaneous diabetes in dogs and cats. A pathological study
.
Diabetologia
1967
;
3
:
249
265
[PubMed]
36.
Alejandro
R
,
Feldman
EC
,
Shienvold
FL
,
Mintz
DH
.
Advances in canine diabetes mellitus research: etiopathology and results of islet transplantation
.
J Am Vet Med Assoc
1988
;
193
:
1050
1055
[PubMed]
37.
Ahlgren
KM
,
Fall
T
,
Landegren
N
, et al
.
Lack of evidence for a role of islet autoimmunity in the aetiology of canine diabetes mellitus
.
PLoS One
2014
;
9
:
e105473
[PubMed]
38.
Jouvion
G
,
Abadie
J
,
Bach
JM
, et al
.
Lymphocytic insulitis in a juvenile dog with diabetes mellitus
.
Endocr Pathol
2006
;
17
:
283
290
[PubMed]
39.
Campbell-Thompson
ML
,
Atkinson
MA
,
Butler
AE
, et al
.
The diagnosis of insulitis in human type 1 diabetes
.
Diabetologia
2013
;
56
:
2541
2543
[PubMed]
40.
In’t Veld
P
.
Insulitis in human type 1 diabetes: the quest for an elusive lesion
.
Islets
2011
;
3
:
131
138
[PubMed]
41.
Campbell-Thompson
M
,
Fu
A
,
Kaddis
JS
, et al
.
Insulitis and β-cell mass in the natural history of type 1 diabetes
.
Diabetes
2016
;
65
:
719
731
[PubMed]
42.
Keenan
HA
,
Sun
JK
,
Levine
J
, et al
.
Residual insulin production and pancreatic ß-cell turnover after 50 years of diabetes: Joslin Medalist Study
.
Diabetes
2010
;
59
:
2846
2853
[PubMed]
43.
In’t Veld
P
.
Insulitis in human type 1 diabetes: a comparison between patients and animal models
.
Semin Immunopathol
2014
;
36
:
569
579
[PubMed]
44.
Diana
J
,
Simoni
Y
,
Furio
L
, et al
.
Crosstalk between neutrophils, B-1a cells and plasmacytoid dendritic cells initiates autoimmune diabetes
.
Nat Med
2013
;
19
:
65
73
[PubMed]
45.
Novikova L, Smirnova IV, Rawal S, Dotson AL, Benedict SH, Stehno-Bittel L. Variations in rodent models of type 1 diabetes: islet morphology. J Diabetes Res 2013;2013:965832
46.
Watson
PJ
,
Herrtage
ME
.
Use of glucagon stimulation tests to assess beta-cell function in dogs with chronic pancreatitis
.
J Nutr
2004
;
134
(
Suppl.
):
2081S
2083S
[PubMed]
47.
Rodriguez-Calvo
T
,
Ekwall
O
,
Amirian
N
,
Zapardiel-Gonzalo
J
,
von Herrath
MG
.
Increased immune cell infiltration of the exocrine pancreas: a possible contribution to the pathogenesis of type 1 diabetes
.
Diabetes
2014
;
63
:
3880
3890
[PubMed]
48.
Papaccio
G
,
Chieffi-Baccari
G
,
Mezzogiorno
V
,
Esposito
V
.
Extraislet infiltration in NOD mouse pancreas: observations after immunomodulation
.
Pancreas
1993
;
8
:
459
464
[PubMed]
49.
Roescher
N
,
Lodde
BM
,
Vosters
JL
, et al
.
Temporal changes in salivary glands of non-obese diabetic mice as a model for Sjögren’s syndrome
.
Oral Dis
2012
;
18
:
96
106
[PubMed]
50.
Karlsson
EK
,
Lindblad-Toh
K
.
Leader of the pack: gene mapping in dogs and other model organisms
.
Nat Rev Genet
2008
;
9
:
713
725
[PubMed]
51.
Kennedy
LJ
,
Davison
LJ
,
Barnes
A
, et al
.
Identification of susceptibility and protective major histocompatibility complex haplotypes in canine diabetes mellitus
.
Tissue Antigens
2006
;
68
:
467
476
[PubMed]
52.
Noble
JA
,
Valdes
AM
.
Genetics of the HLA region in the prediction of type 1 diabetes
.
Curr Diab Rep
2011
;
11
:
533
542
[PubMed]
53.
Noble
JA
,
Valdes
AM
,
Varney
MD
, et al.;
Type 1 Diabetes Genetics Consortium
.
HLA class I and genetic susceptibility to type 1 diabetes: results from the Type 1 Diabetes Genetics Consortium
.
Diabetes
2010
;
59
:
2972
2979
[PubMed]
54.
Valdes
AM
,
Thomson
G
;
Type 1 Diabetes Genetics Consortium
.
Several loci in the HLA class III region are associated with T1D risk after adjusting for DRB1-DQB1
.
Diabetes Obes Metab
2009
;
11
(
Suppl. 1
):
46
52
[PubMed]
55.
Driver
JP
,
Serreze
DV
,
Chen
YG
.
Mouse models for the study of autoimmune type 1 diabetes: a NOD to similarities and differences to human disease
.
Semin Immunopathol
2011
;
33
:
67
87
[PubMed]
56.
Morahan
G
.
Insights into type 1 diabetes provided by genetic analyses
.
Curr Opin Endocrinol Diabetes Obes
2012
;
19
:
263
270
[PubMed]
57.
Polychronakos
C
,
Li
Q
.
Understanding type 1 diabetes through genetics: advances and prospects
.
Nat Rev Genet
2011
;
12
:
781
792
[PubMed]
58.
Short
AD
,
Holder
A
,
Rothwell
S
, et al
.
Searching for “monogenic diabetes” in dogs using a candidate gene approach
.
Canine Genet Epidemiol
2014
;
1
:
8
[PubMed]
59.
Short
AD
,
Catchpole
B
,
Kennedy
LJ
, et al
.
Analysis of candidate susceptibility genes in canine diabetes
.
J Hered
2007
;
98
:
518
525
[PubMed]
60.
Short
AD
,
Catchpole
B
,
Kennedy
LJ
, et al
.
T cell cytokine gene polymorphisms in canine diabetes mellitus
.
Vet Immunol Immunopathol
2009
;
128
:
137
146
[PubMed]
61.
Short
AD
,
Saleh
NM
,
Catchpole
B
, et al
.
CTLA4 promoter polymorphisms are associated with canine diabetes mellitus
.
Tissue Antigens
2010
;
75
:
242
252
[PubMed]
62.
Hoenig
M
,
Dawe
DL
.
A qualitative assay for beta cell antibodies. Preliminary results in dogs with diabetes mellitus
.
Vet Immunol Immunopathol
1992
;
32
:
195
203
[PubMed]
63.
Andersson
C
,
Kolmodin
M
,
Ivarsson
SA
, et al.;
Better Diabetes Diagnosis Study Group
.
Islet cell antibodies (ICA) identify autoimmunity in children with new onset diabetes mellitus negative for other islet cell antibodies
.
Pediatr Diabetes
2014
;
15
:
336
344
[PubMed]
64.
Holder
AL
,
Kennedy
LJ
,
Ollier
WE
,
Catchpole
B
.
Breed differences in development of anti-insulin antibodies in diabetic dogs and investigation of the role of dog leukocyte antigen (DLA) genes
.
Vet Immunol Immunopathol
2015
;
167
:
130
138
[PubMed]
65.
Davison
LJ
,
Walding
B
,
Herrtage
ME
,
Catchpole
B
.
Anti-insulin antibodies in diabetic dogs before and after treatment with different insulin preparations
.
J Vet Intern Med
2008
;
22
:
1317
1325
[PubMed]
66.
Davison
LJ
,
Herrtage
ME
,
Catchpole
B
.
Autoantibodies to recombinant canine proinsulin in canine diabetic patients
.
Res Vet Sci
2011
;
91
:
58
63
[PubMed]
67.
Davison
LJ
,
Weenink
SM
,
Christie
MR
,
Herrtage
ME
,
Catchpole
B
.
Autoantibodies to GAD65 and IA-2 in canine diabetes mellitus
.
Vet Immunol Immunopathol
2008
;
126
:
83
90
[PubMed]
68.
Kim
JH
,
Furrow
E
,
Ritt
MG
, et al
.
Anti-insulin immune responses are detectable in dogs with spontaneous diabetes
.
PLoS One
2016
;
11
:
e0152397
[PubMed]
69.
Pietropaolo
M
,
Towns
R
,
Eisenbarth
GS
.
Humoral autoimmunity in type 1 diabetes: prediction, significance, and detection of distinct disease subtypes
.
Cold Spring Harb Perspect Med
2012
;
2:
pii: a012831
[PubMed]
70.
Wenzlau
JM
,
Juhl
K
,
Yu
L
, et al
.
The cation efflux transporter ZnT8 (Slc30A8) is a major autoantigen in human type 1 diabetes
.
Proc Natl Acad Sci U S A
2007
;
104
:
17040
17045
[PubMed]
71.
Bingley
PJ
,
Gale
EA
;
European Nicotinamide Diabetes Intervention Trial (ENDIT) Group
.
Progression to type 1 diabetes in islet cell antibody-positive relatives in the European Nicotinamide Diabetes Intervention Trial: the role of additional immune, genetic and metabolic markers of risk
.
Diabetologia
2006
;
49
:
881
890
[PubMed]
72.
Bingley
PJ
,
Bonifacio
E
,
Williams
AJ
,
Genovese
S
,
Bottazzo
GF
,
Gale
EA
.
Prediction of IDDM in the general population: strategies based on combinations of autoantibody markers
.
Diabetes
1997
;
46
:
1701
1710
[PubMed]
73.
Bonifacio
E
,
Atkinson
M
,
Eisenbarth
G
, et al
.
International Workshop on Lessons From Animal Models for Human Type 1 Diabetes: identification of insulin but not glutamic acid decarboxylase or IA-2 as specific autoantigens of humoral autoimmunity in nonobese diabetic mice
.
Diabetes
2001
;
50
:
2451
2458
[PubMed]
74.
Wong
FS
,
Wen
L
,
Tang
M
, et al
.
Investigation of the role of B-cells in type 1 diabetes in the NOD mouse
.
Diabetes
2004
;
53
:
2581
2587
[PubMed]
75.
Hinman
RM
,
Cambier
JC
.
Role of B lymphocytes in the pathogenesis of type 1 diabetes
.
Curr Diab Rep
2014
;
14
:
543
[PubMed]
76.
Sai
P
,
Debray-Sachs
M
,
Jondet
A
,
Gepts
W
,
Assan
R
.
Anti-beta-cell immunity in insulinopenic diabetic dogs
.
Diabetes
1984
;
33
:
135
140
[PubMed]
77.
Di Lorenzo
TP
,
Peakman
M
,
Roep
BO
.
Translational mini-review series on type 1 diabetes: systematic analysis of T cell epitopes in autoimmune diabetes
.
Clin Exp Immunol
2007
;
148
:
1
16
[PubMed]
78.
Roep
BO
,
Peakman
M
.
Diabetogenic T lymphocytes in human type 1 diabetes
.
Curr Opin Immunol
2011
;
23
:
746
753
[PubMed]
79.
Marek-Trzonkowska
N
,
Myśliwec
M
,
Siebert
J
,
Trzonkowski
P
.
Clinical application of regulatory T cells in type 1 diabetes
.
Pediatr Diabetes
2013
;
14
:
322
332
[PubMed]
80.
Seyfert-Margolis
V
,
Gisler
TD
,
Asare
AL
, et al
.
Analysis of T-cell assays to measure autoimmune responses in subjects with type 1 diabetes: results of a blinded controlled study
.
Diabetes
2006
;
55
:
2588
2594
[PubMed]
81.
Grieco
FA
,
Vendrame
F
,
Spagnuolo
I
,
Dotta
F
.
Innate immunity and the pathogenesis of type 1 diabetes
.
Semin Immunopathol
2011
;
33
:
57
66
[PubMed]
82.
O’Neill
S
,
Drobatz
K
,
Satyaraj
E
,
Hess
R
.
Evaluation of cytokines and hormones in dogs before and after treatment of diabetic ketoacidosis and in uncomplicated diabetes mellitus
.
Vet Immunol Immunopathol
2012
;
148
:
276
283
[PubMed]
83.
DeClue
AE
,
Nickell
J
,
Chang
CH
,
Honaker
A
.
Upregulation of proinflammatory cytokine production in response to bacterial pathogen-associated molecular patterns in dogs with diabetes mellitus undergoing insulin therapy
.
J Diabetes Sci Technol
2012
;
6
:
496
502
[PubMed]
84.
Koulmanda
M
,
Bhasin
M
,
Awdeh
Z
, et al
.
The role of TNF-α in mice with type 1- and 2- diabetes
.
PLoS One
2012
;
7
:
e33254
[PubMed]
85.
Hess
RS
,
Kass
PH
,
Ward
CR
.
Breed distribution of dogs with diabetes mellitus admitted to a tertiary care facility
.
J Am Vet Med Assoc
2000
;
216
:
1414
1417
[PubMed]
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