Vaccination with cathepsin L mimotopes of Fasciola hepatica in goats reduces worm burden, morphometric measurements, and reproductive structures

Fasciolosis is a worldwide emergent zoonotic disease that significantly constrains the productivity of livestock. We conducted an experimental trial with four groups of five goats each, vaccinated with 1 × 10¹³ phage particles of cathepsin L1 (CLI: DPWWLKQ), CL1 (SGTFLFS), and CL2 (PPIRNGK) mimotopes combined with Quil A adjuvant. Animals received a booster four weeks later. The control group received phosphate-buffered saline. All animals were infected with 200 Fasciola hepatica metacercariae at week six and euthanised 16 weeks later. The percentage of significant worm reduction in CL1 (DPWWLKQ), CL1 (SGTFLFS), and CL2 (PPIRNGK) compared to the control group were 55.40%, 70.42% (P < 0.05), and 32.39%, respectively. Vaccinated animals showed a significant reduction in faecal egg production and egg viability. A significant reduction in the total biomass of parasites recovered was observed in the CL1 (DPWWLKQ) and CL1 (SGTFLFS) groups. In goats vaccinated with CL2 (PPIRNGK), fluke length and width were smaller than those in the control group. Furthermore, animals receiving CL mimotopes showed a significant reduction in the total area of reproductive structures. Goats immunised with phage-displayed mimotopes produced significantly high titres of specific IgG1 and IgG2 isotypes, indicating a mixed Th1/Th2 response. The liver fluke burdens in goats vaccinated with CL1 (DPWWLKQ) and CL1 (SGTFLFS) were significantly correlated with IgG and IgG1 levels.

Prevalence and risk factors of gastrointestinal nematode infestation of horses, donkeys and mules in tropical, dry and temperate regions in Mexico

The aims of this study were to determine the prevalence of gastrointestinal nematodes (GIN) in horses, donkeys and mules and its associations with age, sex and climatic factors (derived from satellite data) to identify the potential risk factors of different climate regions in four Mexican states. From May 2017 to April 2018, a total of 560 farm owners or managers answered the questionnaire, and the data were used to establish three Köppen climate classes (tropical, dry, temperate). The overall prevalence of GIN parasites in equines was 77.9% (436 out of 560). The highest percentage of GIN was detected in mules (87.5%). In addition, the highest prevalence among the climate regions was found in the temperate climate (79.9%). The identified nematodes were strongyle type (77.9%), Parascaris equorum (5.7%), Strongyloides (0.7%) and Oxyuris equi (2.9%). The highest mean value of strongylid eggs per g faeces was found in the dry climate (632.6 ± 96.8), followed by that in the tropical climate (518.3 ± 49.7) and temperate climate (383.8 ± 30.2); however, a similar prevalence was observed between different climate regions. Age and sex were identified as risk factors for high shedding of strongyle eggs: the odds ratios for higher shedding intensities were 3.858 for geldings compared to mares, 2.602 for 6-10-year-old equines and 3.597 for ≤16-year-olds compared to young equines (≤5 years old).

Sincronización del estro en ovejas de pelo mediante protocolo basado en prostaglandinas + GnRH

El uso de progestágenos puede contaminar el medio ambiente y el tejido animal, por lo que el uso de prostaglandinas F2α (PGF2α) y hormona liberadora de gonadotropinas (GnRH) pueden representar una alternativa viable. El objetivo del presente trabajo fue evaluar el efecto de aplicar una dosis de GnRH en el intervalo de aplicación de dos dosis de PGF2α, y compararlo con protocolos basados en progestágenos y PGF2α, comúnmente utilizados en la sincronización de estros, con respecto al pico pre-ovulatorio de la hormona luteinizante (LH), concentraciones de progesterona post-estro, tasa de preñez, pariciones y prolificidad. Después de una pre-sincronización con doble aplicación de PGF2α, 30 ovejas adultas multíparas (peso vivo = 45 ± 3.1 kg, condición corporal= 3.2 ± 0.5 unidades y tiempo post-parto = 60 d a 90 d) fueron asignadas aleatoriamente a uno de tres tratamientos (n = 10). Grupo 1: P (Testigo), recibieron dosis única de 125 μg de cloprostenol por vía IM (intramuscular); Grupo 2: FP, recibieron esponjas intravaginales que contenían 20 mg de acetato de fluorgestona por 5 d, y al retiro de la esponja fueron inyectadas con 125 μg de cloprostenol vía IM; Grupo 3: GP, recibieron 50 μg de GnRH IM, y 7 d después  fueron inyectadas con 125 μg de cloprostenol. El inicio del estro fue más rápido (P ≤ 0.05) en el grupo P comparado con el grupo FP. El grupo GP (P ≤ 0.05) tuvo mayores  concentraciones de progesterona después de 5 d post-estro, comparado con los grupos P y FP. La tasa de preñez no fue diferente (P > 0.05) entre grupos. Los protocolos de sincronización evaluados fueron semejantes en su efectividad para mejorar el comportamiento reproductivo en ovejas de pelo. Se recomienda usar protocolos basados en su aplicación de PGF2α, debido a su facilidad de aplicación.

Pre-analytical errors management in the clinical laboratory: a five-year study

Introduction:

This study describes quality indicators for the pre-analytical process, grouping errors according to patient risk as critical or major, and assesses their evaluation over a five-year period.

Materials and methods:

A descriptive study was made of the temporal evolution of quality indicators, with a study population of 751,441 analytical requests made during the period 2007–2011. The Runs Test for randomness was calculated to assess changes in the trend of the series, and the degree of control over the process was estimated by the Six Sigma scale.

Results:

The overall rate of critical pre-analytical errors was 0.047%, with a Six Sigma value of 4.9. The total rate of sampling errors in the study period was 13.54% (P = 0.003). The highest rates were found for the indicators “haemolysed sample” (8.76%), “urine sample not submitted” (1.66%) and “clotted sample” (1.41%), with Six Sigma values of 3.7, 3.7 and 2.9, respectively.

Conclusions:

The magnitude of pre-analytical errors was accurately valued. While processes that triggered critical errors are well controlled, the results obtained for those regarding specimen collection are borderline unacceptable; this is particularly so for the indicator “haemolysed sample”.