Ricardo Cabeças

Coxiella burnetii, the etiological agent of Q fever, is a globally distributed zoonotic pathogen and a One Health priority. Despite increasing recognition of wildlife as potential reservoirs, data on C. burnetii circulation in European wild ungulates remain scarce. This study estimated exposure to C. burnetii in free-ranging wild boar (Sus scrofa) and red deer (Cervus elaphus) from two major hunting regions in east-central and northeastern Portugal and evaluated the performance of a commercial multi-species ELISA in these hosts. Between 2011 and 2021, 279 serum samples (162 wild boar; 117 red deer) from legally hunted animals in Portugal were tested using an indirect multi-species ELISA using an empirical species-specific threshold derived from a Gaussian mixture model. Overall seroprevalence was 6.8% (CI 95%; 3.4–11.8) in wild boar and 13.7% (CI 95%; 8.0–21.3) in red deer, with higher exposure in wild boar from Beira Baixa (east-central Portugal) than from Trás-os-Montes (northeastern Portugal). The manufacturer’s ruminant cut-off classified almost no animals as seropositive (0.6% and 2.6%, respectively) and showed slight to fair agreement with the species-specific thresholds, underscoring the need for validated, wildlife-appropriate diagnostic criteria. These findings confirm exposure to C. burnetii in both species, suggesting their possible involvement in local maintenance of the pathogen at the wildlife–livestock–human interface. The results reinforce the value of integrating wildlife surveillance into national Q fever surveillance and control strategies to safeguard both public health and livestock production within a One Health context.

Standard predictive equations for maintenance energy requirements often do not account for individual variability in dogs, potentially leading to nutritional inaccuracies. This prospective proofofconcept study evaluated a dynamic energy prescription protocol integrating wearable activity data in adult shelter dogs. Twenty-six dogs were enrolled, of which 19 had valid longitudinal data for analysis. The 10-week protocol comprised a fixed energy prescription phase (R1), based on perceived activity level, followed by a dynamic phase (R2), in which energy allowance was recalculated weekly incorporating accelerometer-derived activity data and other individual parameters. During R2, BCS remained unchanged in 12/19 dogs and varied one unit in 7/19. Of these, two dogs with above-ideal baseline BCS decreased, and one dog with below-ideal BCS increased. Body weight (mean ± SD: 24.2 ± 7.0 vs. 23.6 ± 6.7 kg; p < 0.001) and body fat percentage (19.9 ± 5.4 vs. 18.3 ± 4.6%; p = 0.010) decreased, while muscle condition score remained stable. Feeding adherence improved significantly from 8/19 during R1 to 18/19 during R2 (p = 0.004). These findings support the feasibility of integrating activity monitoring into a dynamic energy prescription and its potential to improve alignment between prescribed and consumed energy. Longer-term studies are warranted to confirm these observations.

Canine osteoarthritis (OA) is a chronic, progressive disease that impacts mobility and welfare, often with subtle clinical signs that fluctuate over time. This exploratory case series evaluated the potential of a wearable sensor system (Maven Pet AI System) to detect real-time deviations in activity and rest patterns in dogs with OA under home-based conditions. Five client-owned dogs were monitored over periods ranging from 56 to 126 days, generating longitudinal data on activity and rest patterns. Nine clinically relevant events were identified: seven OA-related flare-ups and two non-orthopedic health issues. In eight of these events, deviations in activity profiles were temporally aligned with symptom onset, therapeutic response, or recovery. Statistically significant changes were observed in six out of nine events, particularly in the Active and Excited categories, while visual trend analysis revealed clinically relevant deviations even in the absence of statistical significance. In one case, decreased activity preceded owner recognition, suggesting potential for early detection. Sensor data also contextualized episodes of overexertion and non-orthopedic conditions, such as pruritus and gastroenteritis. Owner and clinician feedback indicated high usability and perceived clinical value. Despite the small sample, these findings suggest that continuous sensor-based monitoring may complement conventional evaluations and support earlier, more individualized OA management in real-world settings. Further studies are needed to validate and expand these preliminary observations.

Zearalenone (ZEA) is a mycotoxin that acts primarily as an endocrine disruptor. Biomonitoring studies are needed to assess exposure and risk, particularly among vulnerable groups. This study reports two pilot biomonitoring surveys of ZEA in 38 lactating mothers and 42 children (5–12 years old). Both were associated with a questionnaire to collect data on the sociodemographics and eating habits of the participants. About 76% of urine samples were contaminated (188.12 ± 235.99 ng/mL), with the hazard quotient reaching 2.36 in the worst-case scenario for younger children. Of the analyzed breastmilk samples, 55.26% were contaminated (158.26 ± 77.50). A statistically significant association between ZEA contamination of breastmilk and the maternal consumption of wholemeal bread, cereal flakes, sausages, smoked meat and pork was found, suggesting that these foods are determinants of higher exposure. The hazard quotient in the worst-case scenario for breastfed babies under 16 weeks was estimated as 0.61. Results confirm frequent exposure to this endocrine disruptor among these two vulnerable groups in central Portugal, showing the need for further studies.

Anthelmintic resistance has been documented worldwide, but few cases have been reported in dogs. Shelter dogs are a great opportunity to study intestinal helminths and assess their potential resistance to anthelmintic compounds. With these two goals in mind, 361 faecal samples were collected from dogs in 18 municipalities in Portugal, from 19 shelters and 11 private tutors. These samples were analysed using the Mini-FLOTAC before and 13 days after deworming. The percentage of faecal egg count reduction was calculated. Parasitic forms were identified in 22.4% of the samples collected: Trichuris vulpis (10.5%), Toxocara canis (8.0%), members of the family Ancylostomatidae (6.4%), Toxascaris leonina (0.8%), Dipylidium caninum (0.6%) and members of the family Taeniidae (0.3%). The first three nematode parasites showed the highest intensity of infection (2900, 1325, and 1265 eggs per gram, respectively). In the second faecal collection, parasites were present in 20.8% of the samples. The anthelmintics febendazole + pyrantel embonate + praziquantel and praziquantel + fenbendazole were ineffective for T. vulpis and members of the family Ancylostomatidae in 16.2% and 6.9% of the samples, respectively. The parasites identified are all potentially zoonotic. This study is the first to suggest a potential resistance of T. vulpis to anthelmintics.