This study assessed the influence of transport conditions on welfare indicators of slaughter pigs with different health status and RYR-1 genotype. The group of pigs, predominantly consisting of Nn (56.67%) and subclinically diseased (60.00%) individuals, that were exposed to short transportation (<30 min) at high loading density (~235 kg/m²) had the highest slipping (p < 0.0001), falling (p = 0.0009), turning back (p < 0.0001), reluctance to move (p < 0.0001), panting (p < 0.0001) and shivering (p < 0.0001) frequencies at unloading. Subclinically diseased Nn pigs subjected to short transportation (<30 min) and high loading density (~235 kg/m²) had the highest lactate (p < 0.0001 and p < 0.0001), glucose (p = 0.0450 and p = 0.0002), CK (p < 0.0001 and p = 0.0010), LDH (p < 0.0001 and p = 0.0484), AST (p = 0.0208 and p = 0.0170), ALT (p = 0.0500 and p = 0.00081), ceruloplasmin (p = 0.0334 and p < 0.0001) and MDA (p = 0.0048 and p < 0.0001) concentrations, but the lowest sodium (p < 0.0001 and p < 0.0001), chloride (p = 0.0001 and p = 0.0432), albumin (p < 0.0090 and p < 0.0001), PON-1 (p = 0.0122 and p = 0.0500) and GSH (p = 0.0042 and p = 0.0340) levels, respectively. In the group consisting of of stress-resistant (100%) and predominantly healthy (60.00%) pigs subjected to short transportation (<30 min) at high loading density (~235 kg/m²), none of the individuals showed irregular behavioural reactions during unloading. Healthy NN pigs that underwent short transportation (<30 min) at high loading density (~235 kg/m²) had the lowest lactate (p < 0.0001 and p < 0.0001), glucose (p = 0.0450 and p = 0.0002), CK (p < 0.0001 and p = 0.0010), LDH (p < 0.0001 and p = 0.0484) and ceruloplasmin (p = 0.0334 and p < 0.0001) levels, but the highest sodium (p < 0.0001 and p < 0.0001) and chloride (p = 0.0001 and p = 0.0432) concentrations, respectively. In conclusion, the most compromised welfare was recorded in subclinically diseased Nn pigs exposed to short transportation (<30 min) and high loading density (~235 kg/m²), while under the same conditions, the welfare of healthy NN pigs was not compromised. Therefore, stress-carrier pigs with subclinical pathological lesions should not be considered fit for transportation, indicating that the health status and genotype are the key factors for optimising pig welfare.

In veterinary medicine, knowledge about hematologic ratios (neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and mean platelet volume-to-platelet ratio (MPV/PLT)) is limited, particularly in cats. While the roles of these ratios have been proven in oncology, systemic inflammation with or without systemic inflammatory response syndrome (SIRS), and sepsis, information is lacking about their alterations in non-septic effusions, like feline infectious peritonitis (FIP). This study aimed to describe whether NLR, PLR, and MPV/PLT were changed and whether they correlated with routine hematologic and biochemical parameters in 16 cats with non-septic effusions, highly suspected to be the effusive form of FIP without SIRS, compared to nine clinically healthy cats. The NLR was calculated as the absolute count of neutrophils divided by the absolute count of lymphocytes, PLR by calculating the absolute platelet divided by the absolute lymphocyte count, and MPV/PLT by dividing mean platelet volume by absolute platelet count. The NLR, MPV, and MPV/PLT ratios were higher in cats with non-septic effusions suspected to be FIP, but PLR did not differ, when compared to healthy cats. Correlation analysis did not show any association between the selected ratios and hematological and biochemical parameters. In the absence of leukocytosis, increased NLR could help us to confirm the presence of systemic inflammation in cats with non-septic effusions indicative of FIP. However, a high MPV/PLT ratio should be interpreted with caution, especially in cats.

The aim of this study was to revisit the complex relationship between inflammation, oxidative stress and lipid metabolism in dogs with hypercortisolism (HC). Fourteen dogs newly diagnosed with HC and an equal number of healthy counterparts of similar age and markers of oxidative stress (AOPP, TBARS, TAC, GSH, PON-1, and UA) and inflammation (NLR, PLR, SII, HPT, CHE, CP, and Hcy) were included in the study. To determine the lipid profiles, cholesterol, and triglyceride levels were measured, and the electrophoretic separation of lipoproteins was performed. The results revealed that dogs with HC had higher levels of AOPP and TBARS, but only greater levels of GSH among antioxidants. Uric acid levels were higher in HC dogs, suggesting a pro-oxidative role. Elevated NLR, PLR, SII, and HPT levels were detected, but they did not seem to be associated with inflammation. Notable changes were detected in the HDL fraction, alongside hypercholesterolaemia and hypertriglyceridaemia. Correlation analysis revealed links between lipid markers and both oxidative stress and inflammatory indices. In conclusion, the data acquired may prove useful in further understanding of the intricate pathophysiology of Cushing’s syndrome.