Abstract
Background
Gastrointestinal (GI) parasites of dogs, including helminths and protozoans, are of substantial relevance to veterinary medicine and public health. Nevertheless, epidemiological data are scarce worldwide, especially in remote locations. The emergence of novel technologies and diagnostic platforms facilitates comprehensive screening of multiple GI parasites. Our study aims to establish a baseline prevalence for GI parasites in dogs from Saipan, Northern Mariana Islands.
Methods
Fecal samples were collected from dogs (n = 420) from May to June 2023 during a spay-neuter campaign. Age, sex, ownership status, and residing location were recorded. Following genomic extraction, samples were screened using the KeyScreen™ GI Parasite PCR (Antech Diagnostics), a real-time PCR panel that detects 20 endoparasite infections, detects benzimidazole resistance in Ancylostoma caninum, and determines the zoonotic potential of Giardia duodenalis. If inconclusive results for Ancylostoma spp. were obtained, conventional PCR and Sanger sequencing were performed, targeting the ITS-1 region for species identification. Additionally, demographics (i.e. age, sex, ownership, and residing location) were evaluated as potential risk factors for each pathogen as the outcome with an initial univariate analysis, followed by multivariable logistic regression with backward stepwise selection.
Results
Overall, parasites were detected in 267/420 (63.5%; 95% CI: 58.7–68.1) canine samples. The most detected parasite genus was Ancylostoma spp. (n = 224; 53.3%), followed by G. duodenalis (n = 67; 15.9%), Trichuris (n = 39; 9.2%), Dipylidium (n = 25; 5.9%), Toxocara (n = 15; 3.5%), Cystoisospora (n = 10; 2.3%), and Cryptosporidium (n = 5; 1.1%). Assemblages with zoonotic potential of G. duodenalis and the SNPs 167Y and 134H in the isotype 1 Beta-tubulin gene associated with benzimidazole-resistance in A. caninum were not detected. Risk factors significantly associated with infection were age, district, and ownership with Trichuris; age and ownership with Ancylostoma, Giardia, and Dipylidium; and ownership with Toxocara and Cystoisospora. Hookworm-positive samples were further characterized to species level. Overall, Ancylostoma caninum and A. ceylanicum/A. duodenale were confirmed in 196 (46.7%) and 57 (13.5%) dogs, respectively. Further sequencing confirmed the presence of zoonotic A. ceylanicum in at least 21 samples, approximately 5% of the sampled dog population, distributed geographically across all districts.
Conclusions
To our knowledge, our study is the first to provide epidemiological data on canine gastrointestinal parasites in Saipan. The high prevalence of multiple parasites of One Health importance reinforces the need for surveillance and the implementation of prevention and control strategies island-wide, especially targeting A. ceylanicum, a zoonotic hookworm, that may establish patent infections in both companion animals and humans.
Graphical Abstract
Supplementary Information
The online version contains supplementary material available at 10.1186/s13071-026-07258-8.
Keywords: Ancylostoma, Cutaneous larval migrans, Giardia duodenalis, Hookworm, Parasitic zoonoses, Soil-transmitted helminths, Toxocara, Visceral larva migrans
Background
Gastrointestinal (GI) parasites of dogs, including helminths and protozoans, are of substantial relevance to veterinary medicine and public health [1–7]. Among the most common GI parasites infecting dogs worldwide are nematodes Ancylostoma spp., Toxocara canis, and Trichuris vulpis; the flea tapeworm Dipylidium caninum; and protozoans such as Giardia duodenalis, Cystoisospora spp., and Cryptosporidium spp. [4, 8–14].
Among nematodes of zoonotic importance are species of Ancylostoma, which may cause cutaneous larva migrans or establish patent infections in humans [15–18], and species of Toxocara, which are responsible for visceral or ocular larva migrans in humans [19]. In addition, a subclinical condition termed covert toxocariasis has been linked to cognitive and developmental delays, and can also impact humans, disproportionately affecting infants, pregnant women, and those living in poverty [20–23].
Nevertheless, epidemiological data on zoonotic GI parasites in dogs are scarce in many parts of the world, especially in remote areas [24]. The emergence of novel technologies and diagnostic platforms enables comprehensive screening for multiple GI parasites [25]. In addition, some commercially available platforms allow for concomitant assessment of the zoonotic potential of Giardia (i.e. assemblages A and B) and of the presence of beta-tubulin mutations associated with resistance to benzimidazole drugs, specifically the F167Y [26] and Q134H polymorphisms in Ancylostoma caninum, which has been an emerging issue in North America [27–36] and Australia [37].
To date, there has been limited surveillance of GI parasites in Saipan and the nearby islands. Guam, a neighboring island, recently conducted a study that screened for tick-borne pathogens in dogs, cats, and wild pigs [38]. Several pathogens were found in the sampled dogs, including Anaplasma phagocytophilum (5.9%), Anaplasma platys (19.1%), Babesia canis vogeli (8.8%), and Hepatozoon canis (14.7%) [38]. Although this study [38] identified several tick-borne pathogens in Guam, there is a need for active surveillance among remote populations to assess the distribution of zoonotic pathogens and potential risk factors for infection. Therefore, the objective of the present study was to assess the prevalence of GI parasites in dogs from Saipan, Northern Mariana Islands, and evaluate risk factors associated with infections.
Methods
Study area
Saipan is the second-largest island within the Commonwealth of the Northern Mariana Islands (CNMI), with a total land area of 119 km2 (15°11′14″N, 145°44′49″E) [39]. The human population on Saipan was estimated at 43,385 in the 2020 Census [39]. The island has a tropical rainforest climate with slight seasonal temperature variation, with a wet and a dry season [40].
All maps were created with QGIS 3.22.15, using the continuous cartographic base maps (Shapefiles, version 2018) from the United States (US) Census Bureau database, as shown in Fig. 1 [41]. The boundaries of districts 1–5 reflect the electoral districts on Saipan and are utilized for further assessment (Fig. 2).
Fig. 1.
Aerial map of Saipan, Commonwealth of the Northern Mariana Islands, showing division of the five election districts, retrieved from the 115th Congress of the US Census Bureau, 2025
Fig. 2.
Prevalence of all gastrointestinal parasites detected within each resident district on Saipan, CNMI
Sample collection
Canine fecal samples were collected using fecal loops or voluntarily voided feces as part of a broader study on canine health [42]. Briefly, demographics, including age, sex, residing location, and ownership status, were recorded and grouped accordingly for each dog. Age was separated into three groups: juveniles (≤ 1 year old), adults (1–7 years old), and seniors (> 7 years old), as reported or estimated by the owner or attending veterinarian, respectively. Each district was classified by the US Census Bureau as election districts 1–5 [41, 42]. Finally, ownership status was determined by the type of owner the dog had at the time of sampling, such as a client-owned dog, defined by whether the client wanted their dog to participate in the study. Owner-surrendered dogs were defined as those surrendered to the shelter within 2 days, whereas shelter dogs were defined as those living in the shelter for > 2 days, based on shelter records [42]. Samples were stored in individually labeled vials and kept frozen until shipment to TAMU. Following arrival at TAMU, samples were kept at – 20 °C until being shipped at 4 °C to Antech Diagnostics for processing.
Sample processing and analysis
Total nucleic acid was extracted from each fecal sample according to the laboratory standard operating protocols at Antech Diagnostics. Briefly, following sample mixing, 150 mg of feces was combined with 750 µl of guanidinium thiocyanate-based lysis solution in a bashing bead tube (Spex Sample Prep, Metuchen, NJ, USA) and then homogenized according to the manufacturer’s recommendations. The cleared supernatant was used to extract total nucleic acids using a magnetic-bead-based automated extractor (KingFisher Apex, Thermo Fisher, Waltham, MA, USA). Nucleic acids were eluted in nuclease-free water and used for real-time PCR reactions. Subsequently, samples were screened with a commercially available GI parasite molecular test, which identifies 20 individual parasites, the F167Y and Q134H polymorphisms of A. caninum associated with resistance to benzimidazoles and G. duodenalis strains with zoonotic potential (KeyScreen™ GI Parasite PCR, Antech Diagnostics, Loveland, CO) [25, 26]. Real-time PCR tests in the gastrointestinal parasite panel were designed and validated according to established protocols [43]. DNA of the coccidian protozoan Eimeria spp. is targeted as an indicator of coprophagy and spurious parasite shedding. Additionally, two quality controls were used with each diagnostic sample, as previously described [34]. A complete list of parasites that can be detected by this assay and the associated gene targets can be found in Supplementary Data: Table 1. In addition to the qPCR tests included in the commercial intestinal parasite panel, a cytochrome b (cytB)-based qPCR test was developed to target feline genomic DNA in extracted stool samples as an indication for the presence of cat stool due to coprophagic behavior. This cytB gene feline specific test was designed against GenBank accession no. AB004238.1 and used for sequence alignments against canine, equine, bovine, caprine, ovine, and human cytB sequences. A region with low sequence identity between species was used to design a specific feline cytB gene qPCR test. Analytical validation confirmed the high specificity of the feline cytB gene qPCR (data not shown).
Table 1.
Demographics of the dog population sampled from Saipan, CNMI (n = 420)
| Demographics | No. (%) |
|---|---|
| Age | |
|
Juvenile (≤ 1 year old) |
102 (24.2) |
|
Adult (> 1–7 years old) |
264 (62.8) |
|
Senior (> 7 years old) |
54 (12.8) |
| Sex | |
| Female | 244 (58.1) |
| Male | 176 (41.9) |
| Residing location | |
| District 1 | 123 (29.2) |
| District 2 | 45 (10.7) |
| District 3 | 122 (29.0) |
| District 4 | 45 (10.7) |
| District 5 | 85 (20.2) |
| Ownership status | |
| Client-owned | 318 (75.7) |
| Owner surrendered | 48 (11.4) |
| Shelter | 54 (12.8) |
Real-time PCR for Ancylostoma species co-detection
All samples that tested positive for Ancylostoma spp. through the KeyScreen™ GI Parasite PCR (Antech Diagnostics, Inc., Mars Petcare Science & Diagnostics, Loveland, CO, USA) test were further analyzed via qPCR targeting the ITS-1 gene to determine single and co-infections of Ancylostoma species. This Ancylostoma differentiation panel can distinguish Ancylostoma caninum, A. braziliense, and A. tubaeforme at the species level but does not differentiate A. ceylanicum and A. duodenale. Therefore, results are reported as A. ceylanicum/A. duodenale.
Sequencing for Ancylostoma species determination
To allow species determination of those samples reported as A. duodenale/A. ceylanicum, genomic DNA was amplified with outside primers targeting the ITS-1 gene, and the species were determined using conventional Sanger sequencing. Briefly, PCR products were amplified using primers to obtain a product of between 236 to 262 bp depending on species. PCR products were purified with a proprietary magnetic bead-based 96-well purification protocol (Laguna Scientific, LLC., Aliso Viejo, CA, 92656). Purified PCR products were sequenced using conventional chain termination method using modified dideoxynucleotide triphosphates (ddNTPs) on an ABI 3730 (Applied Biosystems, Inc.). Obtained sequences were analyzed using the NCBI standard nucleotide BLASTn algorithms (http://ncbi.nlm.nich.gov/BLAST) with the function to align multiple sequence files. Following alignment, the 21 A. ceylanicum sequences showed 99–100% identity with four different reference sequences (PP527745; MG890213; MG589493, and KC755027) with lengths ranging between 236–262 bp. Thus, the A. ceylanicum sequence with the longest (258 bp) and 100% identity was the only sequence submitted to GenBank (accession no. PX279497).
Data analysis
Statistical analysis was conducted using STATA version 19.5 BE-Basic Edition (Stata, College Station, TX, USA). Descriptive statistics were generated for each demographic variable and summarized in tables. Chi-square tests were performed to assess the association between potential risk factors—including age, sex, residing location, and dog ownership status—as exposures and each parasite as the outcome. A multivariable logistic regression was also performed for each parasite as the outcome, using a backward stepwise selection [44]. To evaluate how well each model fit the observed data, we used the Hosmer-Lemeshow and Pearson Χ2 tests [44]. We also generated both receiver-operating characteristic (ROC) curves and a ten-fold cross validation of ROC curves for each model to assess the performance [44]. Statistical significance was determined with a cutoff value of P ≤ 0.05. If perfect prediction occurred for specific model(s), the regression output was interpreted based on the reduced model and reported with caution [45, 46].
Results
Of the sampled dogs, most were adults (> 1–7 years old; n = 264/420; 62.8%). Most of the dogs were female, accounting for 58.1% (n = 244/420) of the population, compared to 41.8% (n = 176/420) males. Samples were taken from all districts on the island, with the highest population in District 1, which comprised 29.2% (n = 123/420). Client-owned dogs (75.7%; n = 318/420) accounted for most of the ownership status demographic (Table 1).
Overall, parasites were detected in 267 (63.5%; 95% CI = 58.7–68.1) of canine samples (Table 2). The most detected parasite genus was Ancylostoma spp. (n = 224; 53.3%; 95% CI = 48.4–58.1), followed by G. duodenalis (n = 67; 15.9%; 95% CI = 12.5–19.8), Trichuris (n = 39; 9.2%; 95% CI = 6.6–12.4), Dipylidium (n = 25; 5.9%; 95% CI = 3.8–8.6), Toxocara (n = 15; 3.5%; 95% CI = 2.0–5.8), Cystoisospora (n = 10; 2.3%; 95% CI = 1.1–4.3), and C. canis (n = 5; 1.1%; 95% CI = 0.5–3.0). Assemblages with zoonotic potential of G. duodenalis and mutations conferring benzimidazole resistance in A. caninum were not detected using the methodology previously described [26]. Eimeria, used as a marker of spurious shedding, was found in 9.0% (n = 37; 95% CI = 0.5–3.0) of samples. Of the 37 dogs found to have Eimeria spp., 43% (n = 16/37) had co-infections with Ancylostoma spp., specifically A. caninum (n = 12/16) and A. ceylanicum (n = 2/16). Two additional dogs were identified as co-infected with A. caninum and A. ceylanicum (n = 2/16). Results for all parasites detected in their respective districts are summarized in Fig. 2. Risk factors significantly associated with infection were age (P = 0.040), district (P = 0.006), and ownership (P = < 0.001) for Trichuris; age and ownership for Ancylostoma (P = < 0.001; P = < 0.001), G. duodenalis (P = < 0.001; P = 0.045), and Dipylidium (P = 0.011; P = 0.0.017), respectively; and ownership with Toxocara (P = 0.001) and Cystoisospora (P = 0.001) (Table 3).
Table 2.
Prevalence for each gastrointestinal parasite detected in the sampled population using KeyScreen™ GI Parasite PCR
| Parasite | No. positives | Prevalence (%) | Exact 95% CI |
|---|---|---|---|
| Ancylostoma spp. | 144 | 34.2 | 29.7–39.0 |
| Eimeria spp. | 36 | 8.6 | 6.1–11.7 |
| Giardia duodenalis | 27 | 6.4 | 4.2–9.2 |
| Dipylidium spp. | 5 | 1.1 | 0.3–2.7 |
| Cystoisospora spp. | 3 | 0.4 | 0.1–2.0 |
| Trichuris spp. | 2 | 0.4 | 0.0–1.7 |
| Toxocara canis | 1 | 0.2 | 0.0–1.3 |
| Cryptosporidium canis | 1 | 0.2 | 0.0–1.3 |
| Co-detections of two parasites | |||
| Ancylostoma + Trichuris | 21 | 5.0 | 3.1–7.5 |
| Ancylostoma + Giardia | 21 | 5.0 | 3.1–7.5 |
| Ancylostoma + Dipylidium | 9 | 2.1 | 0.9–4.0 |
| Ancylostoma + Cystoisospora | 6 | 1.4 | 0.5–3.0 |
| Ancylostoma + Toxocara | 4 | 0.9 | 0.2–2.4 |
| Giardia + Dipylidium | 4 | 0.9 | 0.2–2.4 |
| Ancylostoma + Cryptosporidium | 2 | 0.4 | 0.0–1.7 |
| Trichuris + Giardia | 1 | 0.2 | 0.0–1.3 |
| Co-detections of three parasites | |||
| Ancylostoma + Trichuris + Giardia | 6 | 1.4 | 0.5–3.0 |
| Ancylostoma + Toxocara + Trichuris | 5 | 1.1 | 0.3–2.7 |
| Ancylostoma + Giardia + Dipylidium | 2 | 0.4 | 0.0–1.7 |
| Ancylostoma + Toxocara + Giardia | 1 | 0.2 | 0.0–1.3 |
| Ancylostoma + Trichuris + Dipylidium | 1 | 0.2 | 0.0–1.3 |
| Co-detections of four parasites | |||
| Ancylostoma + Toxocara + Giardia + Dipylidium | 2 | 0.4 | 0.0–1.7 |
| Ancylostoma + Trichuris + Giardia + Dipylidium | 1 | 0.2 | 0.0–1.3 |
| Co-detections of five parasites | |||
| Ancylostoma + Trichuris + Giardia + Dipylidium + Cryptosporidium | 1 | 0.2 | 0.0–1.3 |
| Ancylostoma + Trichuris + Giardia + Eimeria + Cryptosporidium | 1 | 0.2 | 0.0–1.3 |
| Toxocara + Trichuris + Giardia + Cystoisospora + Dipylidium | 1 | 0.2 | 0.0–1.3 |
| Total parasites detected | |||
| Ancylostoma spp. | 224 | 53.3 | 48.4–58.1 |
| Giardia spp. | 67 | 15.9 | 12.5–19.8 |
| Trichuris spp. | 39 | 9.2 | 6.6–12.4 |
| Eimeria spp. | 37 | 8.8 | 6.3–11.9 |
| Dipylidium spp. | 25 | 5.9 | 3.8–8.6 |
| Toxocara canis | 15 | 3.5 | 2.0–5.8 |
| Cystoisospora spp. | 10 | 2.3 | 1.1–4.3 |
| Cryptosporidium canis | 5 | 1.1 | 0.3–2.7 |
| Total | 267 | 63.5 | 58.7–68.1 |
Table 3.
Risk factors associated with prevalence of gastrointestinal parasites among dogs in Saipan
| Variable | Total no. | Ancylostoma spp. | Toxocara spp. | Trichuris spp. | Giardia duodenalis | Cystoisospora spp. | Dipylidium spp. | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No (%) | 95% CI | Chi-square df P-value |
No (%) | 95% CI | Chi-square df P-value |
No (%) | 95% CI | Chi-square df P-value |
No (%) | 95% CI | Chi-square df P-value |
No (%) | 95% CI | Chi-square df P-value |
No (%) | 95% CI | Chi-square df P-value |
||
| Age | |||||||||||||||||||
| Juvenile | 102 |
68 (66.7) |
56.6–75.6 |
29.280 2 < 0.001 |
5 (4.9) |
1.6–11.0 |
4.434 2 0.109 |
13 (12.7) |
6.9–20.8 |
6.447 2 0.040 |
29 (28.4) |
19.9–38.2 |
15.564 2 < 0.001 |
3 (2.9) |
0.6–8.3 |
2.811 2 0.245 |
10 (9.8) |
4.8–17.2 |
8.948 2 0.011 |
| Adult | 264 |
141 (53.4) |
47.1–59.5 |
10 (3.7) |
1.8–6.8 |
25 (9.4) |
6.2–13.6 |
34 (12.8) |
9.0–17.5 |
7 (2.6) |
1.0–5.3 |
15 (5.6) |
3.2–9.1 | ||||||
| Senior | 54 |
12 (22.2) |
12.0–35.5 | 0 | – |
1 (1.8) |
0.0–9.8 |
4 (7.4) |
2.0–17.8 | 0 | – | 0 | – | ||||||
| Sex | |||||||||||||||||||
| Female | 244 |
123 (50.4) |
43.9–56.8 |
1.141 1 0.285 |
6 (2.4) |
0.9–5.2 |
2.057 1 0.151 |
26 (10.6) |
7.0–15.2 |
1.326 1 0.249 |
40 (16.3) |
11.9–21.6 |
0.084 1 0.771 |
8 (3.2) |
1.4–6.3 |
2.208 1 0.137 |
15 (6.1) |
3.4–9.9 |
0.039 1 0.842 |
| Male | 176 |
98 (55.6) |
48.0–63.1 |
9 (5.1) |
2.3–9.4 |
13 (7.3) |
3.9–12.2 |
27 (15.3) |
10.3–21.5 |
2 (1.1) |
0.1–4.0 |
10 (5.6) |
2.7–10.2 | ||||||
| Residing location | |||||||||||||||||||
| District One | 123 |
73 (59.3) |
50.1–68.1 |
5.465 4 0.243 |
3 (2.4) |
0.5–6.9 |
5.368 4 0.252 |
9 (7.3) |
3.4–13.4 |
14.451 4 0.006 |
19 (15.4) |
9.5–23.0 |
8.766 4 0.067 |
3 (2.4) |
0.5–6.9 |
4.044 4 0.400 |
9 (7.3) |
3.4–13.4 |
3.323 4 0.505 |
| District Two | 45 | 22 (48.8) | 33.7–64.2 | 0 | – | 0 | – |
8 (17.8) |
8.0–32.0 | 0 | – |
3 (6.7) |
1.3–18.2 | ||||||
| District Three | 122 | 66 (54.1) | 44.8–63.1 |
6 (4.9) |
1.8–10.3 |
17 (13.9) |
8.3–21.3 |
16 (13.1) |
7.6–20.4 |
2 (1.6) |
0.1–5.7 |
9 (7.3) |
3.4–13.5 | ||||||
| District Four | 45 | 23 (51.1) | 35.7–66.2 |
3 (6.7) |
1.3–18.2 |
7 (15.5) |
6.4–29.4 |
3 (6.7) |
1.3–18.2 |
1 (2.2) |
0.0–11.7 |
1 (2.2) |
0.0–11.7 | ||||||
| District Five | 85 | 37 (43.5) | 32.8–54.7 |
3 (3.5) |
0.7–9.9 |
6 (7.0) |
2.6–14.7 |
21 (24.7) |
15.9–35.2 |
4 (4.7) |
1.2–11.6 |
3 (3.5) |
0.7–9.9 | ||||||
| Ownership | |||||||||||||||||||
| Client-owned | 318 |
131 (41.1) |
35.7–46.8 |
79.057 2 < 0.001 |
5 (1.5) |
0.5–3.6 |
13.879 2 0.001 |
8 (2.5) |
1.0–4.8 |
60.892 2 < 0.001 |
46 (14.4) |
10.7–18.8 |
6.182 2 0.045 |
3 (0.9) |
0.1–2.7 |
13.165 2 0.001 |
13 (4.0) |
2.1–6.8 |
8.124 2 0.017 |
| Owner-surrendered | 48 |
45 (93.7) |
82.8–98.6 |
3 (6.2) |
1.3–17.1 | 12 | 13.6–39.5 |
14 (29.1) |
16.9–44.0 |
1 (2.0) |
0.0–11.0 |
4 (8.3) |
2.3–19.9 | ||||||
| Shelter | 54 |
45 (83.3) |
70.7–92.0 |
7 (12.9) |
5.3–24.9 | 19 | 22.6–49.3 |
7 (12.9) |
5.3–24.9 |
6 (11.1) |
4.1–22.6 |
8 (14.8) |
6.6–27.1 | ||||||
Multivariable logistic regression results for Ancylostoma spp. (Table 4) are summarized below. Juvenile dogs had 1.98 times higher odds (P = 0.013; 95% CI: 1.16—3.42) of having Ancylostoma spp. detected, whereas senior dogs had 65% lower odds (P = 0.005; 95% CI: 0.18—0.73) than adult dogs. Male dogs had 1.80 times higher odds of having Ancylostoma spp. detected (P = 0.010; 95% CI: 1.15—2.83) than female dogs. Owner-surrendered dogs had 18.22 times higher odds (P < 0.001; 95% CI: 5.33—62.30) and shelter dogs had 4.83 times higher odds (P < 0.001; 95% CI: 2.15—10.85) of having Ancylostoma spp. detected than client-owned dogs. Dogs found to have Trichuris had 3.99 times higher odds (P = 0.022; 95% CI: 1.23—13.04), whereas dogs found to have G. duodenalis had 51% lower odds (P = 0.030; 95% CI: 0.41—0.93) of having Ancylostoma spp. as a co-infection. Both the Hosmer-Lemeshow (P = 0.989) and Pearson chi-square (P = 0.231) tests were not significant, indicating no lack of fit [44]. We found that the area under the curve (AUC) for the ROC curve had fair accuracy (0.76) (Supplementary Data: Fig. 1) [45]. This was further confirmed in the ten-fold cross-validation AUC, which also showed fair accuracy (0.73) (Supplementary Data: Fig. 2) [47].
Table 4.
Multivariable logistic regression for Ancylostoma species
| Ancylostoma spp. | OR | SE | Z | P | 95% CI |
|---|---|---|---|---|---|
| Age | |||||
| Adult | * | * | * | * | * |
| Juvenile | 1.989 | 0.548 | 2.50 | 0.013 | 1.159—3.415 |
| Senior | 0.357 | 0.130 | −2.83 | 0.005 | 0.175—0.729 |
| Sex | |||||
| Female | * | * | * | * | * |
| Male | 1.805 | 0.412 | 2.58 | 0.010 | 1.153—2.825 |
| Ownership | |||||
| Client-owned | * | * | * | * | * |
| Owner-surrendered | 18.227 | 11.430 | 1.63 | < 0.001 | 5.332—62.302 |
| Shelter | 4.830 | 1.995 | 3.81 | < 0.001 | 2.149—10.854 |
| Co-infections | |||||
| Trichuris spp. | 3.997 | 2.410 | 2.30 | 0.022 | 1.225—13.035 |
| Giardia duodenalis | 0.492 | 0.10 | −2.18 | 0.030 | 0.260—0.931 |
| Intercept | 0.591 | 0.108 | −2.86 | 0.004 | 0.413—0.847 |
Significant relationships (p < 0.05) denoted by bold font; OR: odds ratio; SE: standard error; Z: Z statistic; P: P-value; CI: confidence interval; *reference category
Juvenile dogs had 2.92 times higher odds (P = 0.001; 95% CI: 1.58—5.41) of having G. duodenalis detected than adult dogs. Owner-surrendered dogs had 2.83 times higher odds (P = 0.022; 95% CI: 1.16—6.89) of having G. duodenalis detected than client-owned dogs (Table 5). Dogs from district 5 had 2.50 times higher odds (P = 0.019; 95% CI: 1.16—5.41) than dogs of district 1 to have G. duodenalis detected. Dogs found to have Dipylidium had 4.19 times higher odds (P = 0.003; 95% CI: 1.64—10.73) of having G. duodenalis co-infection detected. We did not find evidence of lack of fit for the final model (Hosmer-Lemeshow P = 0.56; Pearson χ2 P = 0.81) [44]. We also found that the single AUC evaluation in the ROC curve had fair accuracy (0.74) (Supplementary Data: Fig. 3), but the ten-fold validation AUC showed poor accuracy (0.62) (Supplementary Data: Fig. 4) [47].
Table 5.
Multivariable logistic regression for Giardia duodenalis
| Giardia duodenalis | OR | SE | Z | P | 95% CI |
|---|---|---|---|---|---|
| Age | |||||
| Adult | * | * | * | * | * |
| Juvenile | 2.927 | 0.918 | 3.43 | 0.001 | 1.583—5.413 |
| Senior | 0.442 | 0.257 | −1.40 | 0.162 | 0.141—1.385 |
| Ownership | |||||
| Client-owned | * | * | * | * | * |
| Owner-surrendered | 2.832 | 1.284 | 2.30 | 0.022 | 1.164—6.889 |
| Shelter | 0.695 | 0.378 | −0.67 | 0.505 | 0.239—2.019 |
| Residing district | |||||
| One | * | * | * | * | * |
| Five | 2.508 | 0.985 | 2.34 | 0.019 | 1.161—5.416 |
| Four | 0.369 | 0.252 | −1.46 | 0.145 | 0.096—1.411 |
| Three | 0.739 | 0.294 | −0.76 | 0.449 | 0.338—1.614 |
| Two | 1.707 | 0.856 | 1.07 | 0.286 | 0.639—4.561 |
| Co-infections | |||||
| Ancylostoma spp. | 0.533 | 0.178 | −1.87 | 0.061 | 0.277—1.029 |
| Dipylidium spp. | 4.198 | 2.010 | 3.00 | 0.003 | 1.642—10.730 |
| Eimeria spp. | 0.363 | 0.222 | −1.65 | 0.099 | 0.109—1.207 |
| Trichuris spp. | 2.450 | 1.249 | 1.76 | 0.079 | 0.902—6.656 |
| Intercept | 0.137 | 0.048 | −5.67 | < 0.001 | 0.069—0.272 |
Significant relationships (p < 0.05) denoted by bold font; OR: odds ratio; SE: standard error; Z: Z statistic; P: P-value; CI: confidence interval; *reference category
The regressions for Trichuris, Dipylidium, Toxocara canis, Cystoisospora, and Cystoisospora canis are reported in the supplementary data. This is because each model demonstrated perfect prediction [45, 46]. To prevent misleading associations, we present the observed odds ratios from these specific models below, but we caution that these estimates are unreliable [45, 46].
Owner-surrendered dogs had 3.82 times higher odds (P < 0.001; 95% CI: 2.41—13.90), while shelter dogs had 13.41 times higher odds (P < 0.001; 95% CI: 5.09—35.34) of having Trichuris detected than client-owned dogs (Supplementary Data: Table 2). Dogs found to have Ancylostoma spp. had 3.25 times higher odds (P = 0.048; 95% CI: 1.00—10.47), whereas dogs found to have Toxocara had 4.16 times higher odds (P = 0.025; 95% CI: 1.19—14.48) of having Trichuris detected as a co-infection. We found no evidence of a lack of fit in the final model (Hosmer-Lemeshow P = 0.34; Pearson χ2 P = 0.38) [44]. Evaluating the ROC curve, the AUC had considerable accuracy (0.86) (Supplementary Data: Fig. 5), along with the ten-fold cross-validation AUC (0.80) (Supplementary Data: Fig. 6) [47].
Shelter dogs had 3.71 times higher odds (P = 0.007; 95% CI: 1.42—9.71) of having Dipylidium detected than client-owned dogs (Supplementary Data: Table 3). Dogs that were infected with G. duodenalis had 3.92 times higher odds (P = 0.002; 95% CI: 1.62—9.50) of having Dipylidium detected as a co-infection. There was no evidence of lack of fit in the final regression model (Hosmer-Lemeshow P = 0.97; Pearson χ2 P = 0.71) [44]. Following the single AUC evaluation in the initial ROC curve, we observed fair accuracy (0.70) for the final model [47] (Supplementary Data: Fig. 7). Additionally, the ten-fold cross-validation AUC showed a failure in accuracy (0.57) (Supplementary Data: Fig. 8) in the final model performance [47].
Dogs found to have both Dipylidium and Trichuris had 6.92 times (P = 0.012; 95% CI: 1.54—31.17) and 13.54 times higher odds (P < 0.001; 95% CI: 4.02—45.55), respectively, of having T. canis detected as a co-infection (Supplementary Data: Table 4). No evidence of lack of fit was found for the final model (Hosmer-Lemeshow P = 0.16; Pearson χ2 P = 0.11) [44]. The AUC for the initial ROC curve showed considerable accuracy (0.85) (Supplementary Data: Fig. 9), whereas the AUC for the ten-fold cross-validation had poor accuracy (0.62) (Supplementary Data: Fig. 10) [47].
Shelter dogs had 1.75 times higher odds of having Cystoisospora detected (P = 0.001; 95% CI: 2.47—42.62) than client-owned dogs (Supplementary Data: Table 5). Estimation of the final models' lack of fit was not possible, as neither the Hosmer-Lemeshow nor the Pearson chi-square tests yielded values that could be reported [44]. When evaluating the initial ROC, the AUC showed fair accuracy (0.65) (Supplementary Data: Fig. 11), whereas the ten-fold cross-validation failed (0.61) (Supplementary Data: Fig. 12) [47].
Dogs found to have Trichuris had 11.45 times higher odds (P = 0.010; 95% CI: 1.79—73.17) of being co-infected with C. canis (Supplementary Data: Table 6). Assessing the model's lack of fit was not possible because both the Hosmer-Lemeshow and Pearson chi-square tests yielded no values [44]. Area under the curve in the initial ROC curve presented poor accuracy (0.76) (Supplementary Data: Fig. 13) and was slightly lower in the ten-fold cross-validation (0.57) (Supplementary Data: Fig. 14) [47]. Hookworm-detected samples were further characterized to the species level using qPCR. Overall, A. caninum and A. ceylanicum/A. duodenale were confirmed in 196 (46.7%) and 57 (13.5%) dogs, respectively (Table 6). Further sequencing confirmed the presence of the zoonotic A. ceylanicum in at least 21 samples. The 21 dogs confirmed to have A. ceylanicum were geographically spread across all districts and accounted for about 5% of the sampled population. Samples containing A. duodenale species were not selected for Sanger sequencing; however, three dogs (0.7%) were found to have a single infection, and two dogs (0.4%) had a co-infection with A. caninum.
Table 6.
Ancylostoma species specified between qPCR and cPCR
| Single detections | KeyScreen™ species typing assay | Sanger sequencing | ||
|---|---|---|---|---|
| No. positive (%) |
Exact 95% CI |
No. positive (%) |
Exact 95% CI | |
| A. caninum | 161 (38.3) | 33.6–43.1 | – | – |
| A. duodenale/ceylanicum | 22 (5.2) | 3.3–7.0 | 21 (5.0) | 3.1–7.5 |
| A. tubaeforme | 3 (0.7) | 0.1–2.0 | – | – |
| Co-detections | ||||
| A. caninum + A. duodenale/ceylanicum | 33 (7.8) | 5.4–10.8 | – | – |
| A. caninum + A. tubaeforme | 2 (0.4) | 0.0–1.0 | – | – |
| A. tubaeforme + A. duodenale/ceylanicum | 2 (0.4) | 0.0–1.0 | – | – |
| A. caninum + A. duodenale | – | – | 3 (0.7) | 0.1–2.0 |
| A. caninum + A. ceylanicum | – | – | 1 (0.2) | 0.0–1.3 |
| Sequencing failed | 1 | – | 1 | – |
| Total | 224 (53.3) | 48.4–58.1 | 26 (6.1) | 4.0–8.9 |
Risk factors associated with A. caninum included age (P < 0.001) and ownership status (P < 0.001) (Table 7). Following the multivariable logistic regression, juvenile dogs had 2.46 times higher odds (P = 0.001; 95% CI: 1.44—4.21) of having A. caninum detected, whereas senior dogs had 60% lower odds (P = 0.019; 95% CI: 0.19—0.86) (Table 8). Male dogs had 1.77 times higher odds (P = 0.013; 95% CI: 1.12—2.78) of having A. caninum than female dogs. Owner-surrendered dogs had 10.26 times higher odds (P = < 0.001; 95% CI: 4.19—25.08) of having A. caninum detected than shelter dogs having 6.54 times higher odds (P = < 0.001; 95% CI: 2.95—14.50). Dogs found to have G. duodenalis had 60% lower odds (P = 0.007; 95% CI: 0.21—0.77) of being co-infected with A. caninum. We found no evidence of lack of fit (Hosmer-Lemeshow P = 0.6890; Pearson χ2 P = 0.8195) [44]. For this model, the single ROC curve AUC value was fair (0.76) (Supplementary Data: Fig. 15), as with the ten-fold cross-validation, which found similar accuracy (0.72) (Supplementary Data: Fig. 16) [47].
Table 7.
Risk factors associated with Ancylostoma caninum (n = 196) in dogs
| Variable | Total no. | Ancylostoma caninum (n = 196) | ||
|---|---|---|---|---|
| No. (%) | 95% CI | Chi-square df P-value |
||
| Age | ||||
| Juvenile | 102 | 62 (60.7) | 50.6–70.3 |
26.994 2 < 0.001 |
| Adult | 264 | 124 (46.9) | 40.8–53.1 | |
| Senior | 54 | 10 (18.5) | 9.2–31.4 | |
| Sex | ||||
| Female | 244 | 107 (43.8) | 37.5–50.3 |
1.852 1 0.173 |
| Male | 176 | 89 (50.5) | 42.9–58.1 | |
| Residing location | ||||
| District 1 | 123 | 63 (51.2) | 42.0–60.3 |
3.592 4 0.464 |
| District 2 | 45 | 20 (44.4) | 29.6–60.0 | |
| District 3 | 122 | 57 (46.7) | 37.6–55.9 | |
| District 4 | 45 | 23 (51.1) | 35.7–66.2 | |
| District 5 | 85 | 33 (38.8) | 28.4–50.0 | |
| Ownership | ||||
| Client-owned | 318 | 111 (34.9) | 29.6–40.4 |
77.342 2 < 0.001 |
| Owner-surrendered | 48 | 41 (85.4) | 72.2–93.9 | |
| Shelter | 54 | 44 (81.4) | 68.5–90.7 | |
Table 8.
Multivariable logistic regression for Ancylostoma caninum
| Ancylostoma caninum | OR | SE | Z | P | 95% CI |
|---|---|---|---|---|---|
| Age | |||||
| Adult | * | * | * | * | * |
| Juvenile | 2.466 | 0.975 | 3.29 | 0.001 | 1.441—4.218 |
| Senior | 0.404 | 0.155 | -2.35 | 0.019 | 0.189—0.861 |
| Sex | |||||
| Female | * | * | * | * | * |
| Male | 1.772 | 0.407 | 2.49 | 0.013 | 1.129—2.781 |
| Ownership | |||||
| Client-owned | * | * | * | * | * |
| Owner-surrendered | 10.262 | 4.678 | 5.11 | < 0.001 | 4.199—25.080 |
| Shelter | 6.548 | 2.657 | 4.63 | < 0.001 | 2.955—14.506 |
| Co-infections | |||||
| Trichuris spp. | 2.343 | 1.189 | 1.68 | 0.093 | 0.867—6.335 |
| Giardia duodenalis | 0.407 | 0.134 | −2.72 | 0.007 | 0.213—0.778 |
| Intercept | 0.427 | 0.080 | −4.49 | < 0.001 | 0.295—0.619 |
Significant relationships (p < 0.05) denoted by bold font; OR: odds ratio; SE: standard error; Z: Z statistic; P: P-value; CI: confidence interval; *reference category
In Table 9, we found that A. ceylanicum had a statistically significant correlation with age (P = 0.030) and ownership (P = 0.002). In multivariable logistic regression, owner-surrendered dogs had 2.50 times higher odds (P = 0.016; 95% CI: 2.95—14.50) of having A. ceylanicum than client-owned dogs (Table 10). Dogs found to have Trichuris had 2.74 times higher odds of having A. ceylanicum detected as a co-infection. No significant evidence was found to suggest lack of fit (Hosmer-Lemeshow P = 0.7291; Pearson χ2 P = 0.1488) [44]. The initial ROC curve AUC had poor accuracy (0.63) (Supplementary Data: Fig. 17). Furthermore, the ten-fold cross-validation failed in accuracy (0.55) (Supplementary Data: Fig. 18) [47].
Table 9.
Risk factors associated with Ancylostoma ceylanicum (n = 57)
| Variable | Total no. | Ancylostoma ceylanicum | ||
|---|---|---|---|---|
| No. (%) | 95% CI | Chi-square df P-value |
||
| Age | ||||
| Juvenile | 102 | 17 (16.6) | 10.0–25.3 |
6.984 2 0.030 |
| Adult | 264 | 38 (14.3) | 10.3–19.2 | |
| Senior | 54 | 2 (3.7) | 0.4–12.7 | |
| Sex | ||||
| Female | 244 | 38 (15.5) | 11.2–20.7 |
2.032 1 0.154 |
| Male | 176 | 19 (10.8) | 6.6–16.3 | |
| Residing location | ||||
| District 1 | 123 | 19 (15.4) | 9.5–23.0 |
1.899 4 0.754 |
| District 2 | 45 | 6 (13.3) | 5.0–26.7 | |
| District 3 | 122 | 17 (13.9) | 8.3–21.3 | |
| District 4 | 45 | 7 (15.5) | 6.4–29.4 | |
| District 5 | 85 | 8 (9.4) | 4.1–17.7 | |
| Ownership | ||||
| Client-owned | 318 | 32 (10.0) | 6.9–13.9 |
12.658 2 0.002 |
| Owner-surrendered | 48 | 13 (27.0) | 15.2–41.8 | |
| Shelter | 54 | 12 (22.2) | 12.0–35.5 | |
Table 10.
Multivariable logistic regression for Ancylostoma ceylanicum
| Ancylostoma ceylanicum | OR | SE | Z | P | 95% CI |
|---|---|---|---|---|---|
| Ownership | |||||
| Client-owned | * | * | * | * | * |
| Owner-surrendered | 2.507 | 0.969 | 2.38 | 0.017 | 1.174—5.351 |
| Shelter | 1.525 | 0.639 | 1.01 | 0.314 | 0.670—3.470 |
| Co-infections | |||||
| Trichuris spp. | 2.749 | 1.590 | 2.42 | 0.016 | 1.210—6.244 |
| Intercept | 0.123 | 0.021 | −11.73 | < 0.001 | 0.086—0.174 |
Significant relationships (p < 0.05) denoted by bold font; OR: odds ratio; SE: standard error; Z: Z statistic; P: P-value; CI: confidence interval; *reference category
Discussion
A high prevalence of parasite detections and putative infections was observed in the canine population in this remote island. To the authors' knowledge, this is the first study assessing the prevalence of GI parasites in dogs from Saipan and the Commonwealth of the Northern Mariana Islands. The findings in this study provide a baseline for future research and help inform veterinary and public health authorities.
The most frequently detected parasites were hookworms of the genus Ancylostoma, which are clinically significant because high infection levels are linked to anemia and can be fatal [2, 6, 48, 49]. Various studies worldwide have determined that hookworms are often the most prevalent GI nematode infecting dogs [7, 8, 50–54]. A high prevalence of hookworms is often observed in tropical regions worldwide, where environmental conditions, including temperature, humidity, and soil type, may favor parasite development and transmission [1, 6, 29, 55, 56]. Regarding species, A. caninum was the most prevalent, although mutations associated with resistance to benzimidazole drug were not detected, as seen in the continental USA, Brazil, and Australia [25, 34, 37, 57]. This may be partially explained by several factors, including the island's location in the Pacific Ocean, limited availability of veterinary care, and the lack of routine use of anthelmintic drugs for prevention and control of infections, as also suggested by Kelly et al. regarding canine vector-borne diseases, especially canine heartworm, Dirofilaria immitis [42, 58]. Additional evidence of the absence of resistant mutations in Ancylostoma spp. can be seen by examining the stray or free-ranging dog population on the island of Saipan [59]. Although animal control agencies oversee this population, it is still estimated to exceed 21,000 dogs. When managed through spay-and-neuter programs or shelter euthanasia, it can lead to high turnover, which results in fewer dogs receiving treatment and possible resistance to prevention [59]. While the factors mentioned increase the risk, the movement of infected dogs from areas with resistance may still facilitate the introduction of A. caninum mutations into the island’s population.
Epidemiological studies on canine GI parasites often find Giardia to be the most prevalent protozoan, which can cause severe clinical signs in young animals [2, 60–64]. This was also observed in the multivariable logistic regression for Giardia, with a statistical association in juveniles and owner-surrendered dogs. It was also found that Dipylidium showed a statistically significant difference in co-infections with Giardia compared to all other pathogens identified in this study. Owners who recently surrendered their dogs may have done so because they were unable to manage their dogs' clinical signs, leading them to surrender the animals to a shelter. However, despite being a common cause of diarrhea in dogs, there is a growing debate on the relevance of subclinical Giardia infections in companion animals [2, 63–65]. Nevertheless, the zoonotic potential of specific genetic assemblages of Giardia requires attention, and veterinarians may opt to molecularly characterize canine infections to better inform and manage cases [25, 26, 34]. Regarding Giardia assemblages A (G. duodenalis) and B (G. enterica), both are relevant to zoonotic transmission and have been reported in human infections [66–69]. Since these assemblages were not detected in the studied dog population, there may be a lower risk to humans in contact with these dogs. Although not further genotyped, this population is most likely to carry Giardia assemblages commonly found in dogs, such as C (G. canis) and D (G. lupus) [70–74].
Trichuris, or whipworms, are potentially zoonotic GI nematodes that pose diagnostic challenges and have a controversial clinical significance [53, 75–77]. Standard diagnostic techniques used to identify Trichuris, in particular T. vulpis, include fecal flotations, such as double-centrifugal flotation, for dogs [37, 78–80]. However, egg shedding is not usually found in high numbers; therefore, infections may be missed in a clinical setting [78–80]. While the primers used in this study would have potentially detected Trichuris species infecting both dogs and cats, T. vulpis was most likely the species found in this population [26]. Trichuris vulpis, which can cause diarrhea and weight loss, is found in dogs of all ages but is significantly associated with adult (> 1 year old) and senior (< 7 years old) dogs [2, 53, 81]. The same outcome was observed in this study: adults (9.4%; n = 25/264) had a higher infection rate than juveniles (12.7%; n = 13/102) in the sampled population. The final regression model also found a statistical association between owner-surrendered and shelter dogs, as well as significance for co-infections with Ancylostoma spp. and T. canis. This is because these age classes exhibit increased resilience, higher infection intensity, and co-infections with other parasites, such as A. caninum [53, 79, 81]. However, there is always an increased potential for infection when an owner does not seek regular veterinary care, cannot afford the cost of pet care, or when administration of prevention is not logistically feasible in shelter settings [53, 79, 81].
Dipylidium caninum is a cestode distributed worldwide in companion animals that uses Ctenocephalides fleas or Trichodectes canis lice as intermediate hosts [2, 82]. Although not officially reported, fleas are known to infest dogs and cats on Saipan (K. Anderson, personal observation). Diagnosis of patent D. caninum infections is often challenging because of the intermittent shedding of proglottids [3, 5, 78]. More recently, molecular and coproantigen detections have proven more sensitive and reliable than classical methods [5, 83, 84]. These novel diagnostic techniques may yield more accurate prevalence estimates when implemented, alone or in conjunction, in epidemiological studies. Although the regression produced problematic results, we found that shelter dogs had a higher likelihood of infection with Dipylidium, as well as co-infections with G. duodenalis. While Dipylidium may not be of high zoonotic importance, reports of infection in infants are not uncommon [84–87]. Only a few reports worldwide, including in India and Russia, have focused on adult human cases of D. caninum infection [88, 89].
Unfortunately, we were unable to record a detailed clinical history or the frequency of anthelmintic drug use for the dogs enrolled in this study. However, it was unlikely that owner-surrendered and shelter dogs were receiving anthelmintic medication regularly or at all (K. Anderson, personal observation). For client-owned dogs, there has been intermittent use of various commercially available antiparasitic drugs that could have activity against selected endoparasites and ectoparasites (e.g. fluralaner, ivermectin; K. Anderson, personal observation). A future study could further investigate access to veterinary care and the use of antiparasitic products on dogs from Saipan.
Species of Toxocara are one of the most prevalent zoonotic helminths in veterinary and human medicine, with clinical manifestations differing between visceral larva migrans (VLM) and ocular larva migrans (OLM) [2, 19, 93–100]. Toxocara canis and T. cati eggs are shed in the feces of free-roaming dogs and cats and hence contaminate soil, highlighting the need for surveillance to understand transmission among dogs, cats, and humans [2, 19, 20, 93–100]. In the present study, Toxocara had a statistically significant association with age (P = 0.040). Upon closer examination, prevalence was higher in adults (> 1–7 years old) than in juveniles (≤ 1 year old) and senior dogs (> 7 years old). Statistical evidence also found an association between Dipylidium and Trichuris as co-infections, highlighting the need for further surveillance of these three pathogens, especially in younger animals. However, this overall positivity may be an underestimation, as we did not sample puppies younger than 6 months, and the regression was problematic in evaluating these risk factors due to the low positivity (n = 15).
Other commonly reported protozoan parasites in this study include species of Cystoisospora and Cryptosporidium, which are of little to moderate clinical significance in healthy, immunocompetent dogs [8, 51, 53, 64, 74, 101]. Young age is often a factor associated with the presence of clinical infections for both protozoans in dogs, as observed with other gastrointestinal nematodes [8, 102]. Age class, among others, could not be accurately assessed in either pathogen regression model, likely because of the low positivity rates, and requires further surveillance to fully elucidate significant risk factors. Another limitation in evaluating age as a possible risk factor for underestimating the prevalence of both Cystoisospora and Cryptosporidium was the exclusion of puppies younger than 6 months.
As mentioned earlier, several multivariable logistic regression models exhibited perfect prediction, meaning that all observations with a specific covariate pattern tested either positive or negative for pathogens that had a low number of positive cases (≤ 39 positive dogs, e.g. Trichuris, Dipylidium, T. canis, Cystoisospora, and C. canis) [45, 46]. Under these conditions, the logistic regression algorithm automatically excluded perfectly predicted observations from model fitting, reducing the adequate sample size and limiting the estimation of adjusted effects for these pathogens [45, 46]. The reason for perfect prediction is likely the combination of rare pathogens and small cell counts within specific covariate strata rather than a statistical association [45, 46]. Therefore, these results should be interpreted with caution, and future research should reexamine these potential risk factors and their association with GI parasites.
Hookworm-detected samples were further characterized at the species level. Overall, A. caninum was confirmed in most samples (n = 196/225), with 161 of these being single-species infections. Ancylostoma duodenale/ceylanicum was found in in 57, including 26 single infections, and A. tubaeforme 7 samples. Through a qPCR assay, co-detection of hookworm species was found in 37 samples, with A. caninum + A. duodenale/ceylanicum (n = 33/37), A. caninum + A. tubaeforme (n = 2/37), and A. duodenale/ceylanicum + A. tubaeforme (n = 2/37). Age is a well-documented risk factor for A. caninum, with higher infection rates reported in younger animals [53–55]. We also identified a significant association between A. caninum and other GI parasites (i.e. G. duodenalis) in co-infections, suggesting that the initial infections occurred simultaneously [50–52]. An assay targeting the cytB gene in cats detected feline DNA in four of the seven samples containing A. tubaeforme DNA, probably indicating coprophagia and spurious parasitism [26, 43]. However, other studies have documented A. tubaeforme DNA in dogs, although they are not suitable hosts, which suggests that further studies may be needed [103].
Ancylostoma ceylanicum is of particular interest because it can establish patent infections in dogs, cats, and humans, with the possibility of cross-species transmission [48, 57, 104, 105]. The presence of this zoonotic parasite was confirmed via sequencing in at least 21 samples, or approximately 5% of the dogs sampled on this remote island. Although age class was not identified in the multivariable logistic regression, age has been documented to be a risk factor for puppies up to senior dogs, requiring further investigation in similar populations to determine a more conclusive exposure factor [104, 105]. A statistical association was observed between client-owned and owner-surrendered dogs, suggesting that the lack of ownership can directly increase exposure to newly emerging pathogens. To our knowledge, our study provides the first report of A. ceylanicum from the Northern Mariana Islands, and possibly the USA minor territories in Oceania. This finding is expected, given Saipan's geographic location relative to other known endemic areas for A. ceylanicum [105]. This species has been widely reported from various countries across South and Southeast Asia and Oceania, with variable prevalence across all three susceptible host species [17, 105–109]. This suggests that the infection could have originated in Asia, potentially because of tourism and relocation to this remote island [17, 105–110]. As A. ceylanicum can also cause patent infections in humans, additional testing is required in special cases associated with enteritis and diarrhea in both the resident population and visitors (e.g. tourists and military personnel) [107, 110, 111].
Although most GI parasites found in this canine population are nearly globally distributed, A. ceylanicum has never been reported in companion animals or humans in the continental USA, and, until recently, it had not been detected across the Americas. Recent studies have shown the presence of A. ceylanicum in dogs on other remote islands, such as Kiribati, an island in the central Pacific [106, 112], and Grenada, an island in the Caribbean [113, 114], and in humans from Ecuador, South America [115]. With this confirmation of A. ceylanicum, there is potential movement of companion animals, including dogs and cats, to the continental USA from Saipan and the Northern Mariana Islands. This movement can include client-owned animals, as well as service, military, and TSA dogs, given the island's military base, where reports of other parasitic and vector-borne infections have been reported in similar populations [116–120]. Currently, importation of dogs to the continental USA requires only four documents: the Centers for Disease Control and Prevention (CDC) Dog Import Form, a microchip confirmation certificate, a rabies vaccination certificate, and a health certificate [121]. However, records may be lost during travel to new locations or may not be followed closely upon arrival from outlying US territories, including the CNMI or Guam. Given the risk of translocation and establishment of parasites associated with dog importation, implementing more comprehensive parasite diagnostic testing prior to travel and a follow-up veterinary consultation could be informative to veterinary and public health professionals.
Conclusions
To our knowledge, this is the first study providing epidemiological data on canine gastrointestinal parasites in Saipan. The high prevalence of infections and co-infections, such as Ancylostoma spp. and Trichuris spp., demonstrates that active surveillance to assess risk factors is crucial for understanding pathogen distribution in remote populations like Saipan. The results highlight the presence of parasites of veterinary and medical significance and emphasize the need for improved access to veterinary care, effective prevention measures, and the implementation of control strategies.
Supplementary Information
Acknowledgements
We thank Ningning Li, Yumiko Brundidge, Karie Comstock, Boonies Babies, and Saipan Dog Control for their outstanding assistance with sample collection. We also thank Taylor Davis (TAMU) for logistical support in sample collection and processing and Shridula Hegde (OSU) for assisting with the literature review. Additionally, we thank Dr. Robert Valeris-Chacin (TAMU) for his guidance in statistical analysis.
Author contributions
**Maureen A. Kelly:** Writing-original draft, Data curation, Formal analysis, Investigation, Methodology. **Kris Anderson:** Methodology, Writing-review and editing. **Pablo D. Jimenez Castro**: Writing-review and editing, Data curation, Formal analysis, Methodology, Validation. **Christian Savard**: Writing-review and editing, Data curation, Formal analysis, Methodology, Validation. **Samantha Loo**: Writing-review and editing, Data curation, Formal analysis, Methodology, Validation. **Jeffrey Tereski**: Writing-review and editing, Data curation, Formal analysis, Methodology, Validation. **Christian M. Leutenegger**: Writing-review and editing, Data curation, Formal analysis, Methodology, Validation. **Guilherme G. Verocai**: Writing-review and editing, Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Supervision.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Availability of data and materials
All data analyzed during this study are included in this published article and its supplementary information files. The single submitted *Ancylostoma ceylanicum* sequence is available through the National Center for Biotechnology Information (NCBI) GenBank Database under accession no. PX279497.
Declarations
Ethics
All canine fecal samples were collected in adherence to protocols approved by Texas A&M University’s (TAMU) Institutional Animal Care and Use Committee (IACUC 2022–0261). Each dog owner and shelter manager gave consent for collection. Fecal sample screening was performed prospectively approximately 1 year after collection; therefore, the results were not shared with the owners or the shelter manager.
Consent for publication
All authors consent to the publication of this manuscript.
Competing interest
The authors declare the following financial interests/personal relationships, which may be considered as potential competing interests: The commercial real-time qPCR test used for analysis of samples in this study was KeyScreen™ GI Parasite PCR, an Antech Diagnostics, Inc., Mars Petcare Science & Diagnostics product. PDJC, CML, CS, SL, and JT are employed by Antech Diagnostics, Inc., Mars Petcare Science & Diagnostics.
Footnotes
Publisher's Note
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data analyzed during this study are included in this published article and its supplementary information files. The single submitted *Ancylostoma ceylanicum* sequence is available through the National Center for Biotechnology Information (NCBI) GenBank Database under accession no. PX279497.



