Effects of maternal calcium propionate supplementation on offspring productivity and meat metabolomic profile in sheep.

This study determined the effect of dietary calcium propionate (CaPr) as a source of energy supplementation during the First Half of Gestation (FMG), the Second Half of Gestation (SMG), and during All Gestation (AG), on offspring post-weaning growth performance, meat quality, and meat metabolomic profile. Thirty-one pregnant ewes were assigned to one of four treatments: a) supplementation of 30 gd-1 of CaPr during the first half of gestation (day 1 to day 75, n = 8) (FMG); b) supplementation of 30 gd-1 of CaPr during the second half of gestation (day 76 to day 150, n = 8) (SMG); c) supplementation of 30 gd-1 of CaPr during all gestation (AG, n = 8); d) no CaPr supplementation (control; CS, n = 7). The ewes were ad libitum fed a basal diet based on oat hay and corn silage. Ewes were distributed in a completely randomized unbalanced design to four treatments. The FMG group had lower (P ≤ 0.05) birth weight and weaning weight than the CS group. However, the average daily gain was similar across all treatments. Empty body weight and FMG had lower values (P ≤ 0.05) than the other groups. Both FMG and AG had lower hot carcass weight (P ≤ 0.05) compared to CS, while CaPr treatments resulted in reduced hot carcass yield (P ≤ 0.05). Meat color and texture were similar among treatments. A principal component analysis between gestation stages showed a trend for separating CS and FMG from SMG and AG, and that was explained by 93.7% of the data variability (PC1 = 87.9% and PC2 = 5.8%). Regarding meat metabolomic profile, 23 compounds were positively correlated between all treatments. Only 2 were negatively correlated (eicosane and naphthalene 1,2,3); but tetradecanoic acid, hexadecane, undecane 5-methyl, (-)-alpha, hexadecenoic acid, octadecanoic acid, and octadecane had a highly significant correlation (P ≤ 0.05). Overall, dam supplementation with CaPr during different periods of gestation provoked changes in meat metabolites related to the biosynthesis of fatty acids in lambs without negative changes in lamb's growth performance and carcass quality.

Caracterización y biomonitoreo de contaminantes orgánicos e inorgánicos en una zona ladrillera de San Luis Potosí / Characterization and biomonitoring of organic and inorganic contaminants in a brick-making area of San Luis Potosí

Resumen El sector ladrillero se caracteriza por la elaboración del ladrillo de forma artesanal donde utilizan técnicas rudimentarias, hornos de baja tecnología y diversos combustibles de poca calidad generando humos negros con gran cantidad de contaminantes. Por lo que el objetivo de este estudio fue caracterizar los metales en suelo, HAPs en aire y biomonitoreo de HAPs en trabajadores de la zona ladrillera "Las Terceras" San Luis Potosí, México. Con el fin de conocer la exposición laboral se determinó la concentración de HAPs en partículas PM10, se caracterizó el suelo de la zona de trabajo y se realizó un biomonitoreo de me-tabolitos hidroxilados HAPs (OH-HAPs) en orina de los trabajadores. En aire se encontraron 14 de los 16 HAPs prioritarios por la Agencia de Protección Ambiental en la fracción de PM10, con una concentración media de 5293,05 gg/m3 (3,11-10510,81). Los resultados del análisis químico de los polvos mostraron que están constituidos principalmente de cuarzo (SiO2) y arcillas (SiAlOx) con presencia de óxidos de Fe-Ti, fosfatos de tierras raras (Lantano, Cerio, Neodimio Torio), silicatos de zirconio, sulfatos de bario, óxidos de zinc. En el biomonitoreo participaron 42 trabajadores ladrilleros, los resultados de la exposición a OH-HAPs en orina demostraron la media total de los OH-HAPs de 15,7 (6,92-195) ng/ml. Estos resultados muestran que el monitoreo ocupa-cional de las zonas ladrilleras es importante debido al escenario de riesgo y a las condiciones precarias de este trabajo, además de la alta exposición a contaminantes que afectan la salud de los trabajadores y sus familias, así como la propuesta de estrategias que ayuden a minimizar los impactos ambientales y prevenir los efectos en salud de las poblaciones.

Abstract The brick-making sector is characterized by artisanal brick production using rudimentary techniques, low-tech kilns and various low-quality fuels that generate black fumes with a large amount of pollutants. Therefore, the objective of this study was to characterize metals in soil, PAHs in air and biomonitoring of PAHs in workers of the "Las Terceras" brick area in San Luis Potosí, Mexico. In order to know the occupational exposure, the concentration of PAHs in PM10 particles was determined, the soil of the work area was characterized and a biomonitoring of hydroxylated PAH metabolites (OH-HAPs) in the urine of the workers was carried out. In air, 14 of the 16 PAHs prioritized by the Environmental Protection Agency were found in the PM10 fraction, with an average concentration of 5293.05 gg/m3 (3.11-10510.81). The results of the chemical analysis of the dusts showed that they are mainly constituted of quartz (SiO2) and clays (SiAlOx) with presence of Fe-Ti oxides, rare earth phosphates (Lanthanum, Cerium, Neodymium Thorium), zirconium silicates, barium sulfates, zinc oxides. The biomonitoring involved 42 brick workers, the results of OH-HAPs exposure in urine showed the mean total OH-HAPs of 15.7 (6.92-195) ng/ml. These results show that occupational moni-toring of brick-making areas is important due to the risk scenario and the precarious conditions of this work, in addition to the high exposure to pollutants that affect the health of workers and their families, as well as the proposal of strategies that help minimize environmental impacts and prevent health effects on populations.

Application of the Electronic Nose in Predicting Preeclampsia in High-risk Pregnancies. Pilot Study.

BACKGROUND: Preeclampsia is a syndrome that affects 2-8 % of pregnancies worldwide and is the leading cause of maternal death. Therefore, early detection is crucial to identify women who require clinical monitoring during pregnancy and to evaluate new preventive therapies before clinical symptoms occur. METHODS: The chemical fingerprints of the urine from three study groups pregnant with Preeclampsia, Healthy Pregnant (HP) and pregnant at High Risk of Preeclampsia (HRP) were evaluated using an electronic nose and the data obtained were subjected to principal component analysis (PCA), Canonical Analysis of Principal Coordinates (CAP), Partial Least Squares - Discriminant Analysis (PLS-DA) and ROC curves to determine the diagnostic power of the test. RESULTS: A separation was found between the patients with preeclampsia and HP explaining 99% of the variability of the data. Subsequently, a CAP was obtained with a correct classification of 100%, and the PLS-DA was obtained an accuracy of 88%. With the results of axis CAP1, a ROC curve was performed resulting in a sensitivity of 100% and a specificity of 95.5%. Based on the CAP model it was found that 36% (n=9) of the HRP patients would develop preeclampsia based on the metabolites found in urine. CONCLUSION: metabolomics can be used as a tool for early detection of preeclampsia in high-risk pregnant women, using portable olfactory technology.

Detection of Clavibacter michiganensis subsp. michiganensis Assisted by Micro-Raman Spectroscopy under Laboratory Conditions.

Clavibacter michiganensis subsp. michiganesis (Cmm) is a quarantine-worthy pest in México. The implementation and validation of new technologies is necessary to reduce the time for bacterial detection in laboratory conditions and Raman spectroscopy is an ambitious technology that has all of the features needed to characterize and identify bacteria. Under controlled conditions a contagion process was induced with Cmm, the disease epidemiology was monitored. Micro-Raman spectroscopy (532 nm λ laser) technique was evaluated its performance at assisting on Cmm detection through its characteristic Raman spectrum fingerprint. Our experiment was conducted with tomato plants in a completely randomized block experimental design (13 plants × 4 rows). The Cmm infection was confirmed by 16S rDNA and plants showed symptoms from 48 to 72 h after inoculation, the evolution of the incidence and severity on plant population varied over time and it kept an aggregated spatial pattern. The contagion process reached 79% just 24 days after the epidemic was induced. Micro-Raman spectroscopy proved its speed, efficiency and usefulness as a non-destructive method for the preliminary detection of Cmm. Carotenoid specific bands with wavelengths at 1146 and 1510 cm-1 were the distinguishable markers. Chemometric analyses showed the best performance by the implementation of PCA-LDA supervised classification algorithms applied over Raman spectrum data with 100% of performance in metrics of classifiers (sensitivity, specificity, accuracy, negative and positive predictive value) that allowed us to differentiate Cmm from other endophytic bacteria (Bacillus and Pantoea). The unsupervised KMeans algorithm showed good performance (100, 96, 98, 91 y 100%, respectively).