• Title/Summary/Keyword: Weaning Pigs

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The Changes of Brain Injury Markers(S100-$\beta$, Neuron-Specific enolase) After Retrograde Cerebral Perfusion Under Total Circulatory Arrest in Pigs (돼지에서 역행성 뇌관류 시행 후 혈청 및 소변의 뇌손상 관련지표(S100-$\beta$, Neuron-specific enolase)의 변화)

  • 김상윤;김만호;김경환
    • Journal of Chest Surgery
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    • v.35 no.12
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    • pp.847-853
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    • 2002
  • We previously published the data that proved the safety of retrograde cerebral perfusion for 120 minutes. At this time, we planned to check the neuron-specific enolase and S100-$\beta$ in serum and urine to assess the possibility of early detection of cerebral injury. Material and Method: We used pigs(Landrace species) weighing 35 kg and performed RCP for 120 minutes. After the weaning of cardiopulmonary bypass, we observed the pigs for another 120 minutes. Systemic arterial pressure, central venous pressure, and serum and urine levels of neuron-specific enolose (NSE) and S100$\beta$ protein were checked. Central venous pressure during RCP was maintained in the range of 20 to 25 mmHg. Result: Serum levels of NSE(ng/$m\ell$) were 0.67$\pm$0.18(induction of anesthesia), 0.53$\pm$0.47(soon after CPB), 0.44$\pm$0.27(20min alter CPB), 0.24$\pm$0.09(RCP 20min), 0.37$\pm$0.35(RCP 40min), 0.33$\pm$0.21 (RCP 60min), 0.37$\pm$0.22(RCP 80min), 0.41$\pm$0.23(RCP 100 min), 0.48$\pm$0.26(RCP 120min), 0.42$\pm$0.29(30min after rewarming), 0.35 $\pm$0.32(60min after rewarming, 0.42$\pm$0.37(CPBoff 30min), 0.47$\pm$0.34(CPBOff 60min), 0.47$\pm$0.28(CPBOff 90min), and 0.57$\pm$0.29(CPBOff 120min). There was no statistically significant difference in levels between before and after RCP(ANOVA, p>0.05). Urine levels of NSE also showed no statistically significant difference in levels between before and after RCP. There was no correlation between urine and serum levels of NSE(Pearson correlation, p>0.05). Serum levels of S100$\beta$ protein(ng/$m\ell$) during the same time frames were 0.14$\pm$0.08, 0.15$\pm$0.07, 0.22$\pm$0.15, 0.23$\pm$0.07, 0.28$\pm$0.10, 0.40$\pm$0.05, 0.47$\pm$0.03, 0.49$\pm$0.12, 0.43$\pm$0.11, 0.46$\pm$0.15, 0.62$\pm$0.17, 0.77$\pm$0.21, 0.78$\pm$0.23, 0.77$\pm$0.23, and 0.82$\pm$0.33. There was statistically significant difference in levels between before and after RCP(ANOVA, p<0.05). Urine levels of NSE also showed statistically significant difference in levels between before and after RCP(ANOVA, p<0.05). There was significant correlation between urine and serum levels of NSE(Pearson correlation, p<0.05). Conclusion: The author observed the increase in serum and urine levels of S100$\beta$ after 120 minutes of RCP. Significant correlation between serum and urine levels was observed. The results were considered to be the fundamental data that could correlate this study with human-based study.

Prevalence and Characterization of Virulence Genes in Escherichia coli Isolated from Diarrheic Piglets in Korea

  • Kim, Sung Jae;Jung, Woo Kyung;Hong, Joonbae;Yang, Soo-Jin;Park, Yong Ho;Park, Kun Taek
    • Journal of Food Hygiene and Safety
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    • v.35 no.3
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    • pp.271-278
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    • 2020
  • Enterotoxigenic Escherichia coli is one of the major causative infectious agents of diarrhea in newborn and post-weaning pigs and leads to a large economic loss worldwide. However, there is limited information on the distribution and characterization of virulence genes in E. coli isolated from diarrheic piglets, which also applies to the current status of pig farms in Korea. To investigate the prevalence and characterization of virulence genes in E. coli related to diarrhea in piglets, the rectal swab samples of diarrheic piglets (aged 2 d to 6 w) were collected from 163 farms between 2013 and 2016. Five to 10 individual swab samples from the same farm were pooled and cultured on MacConkey agar plates, and E. coli were identified using the API 32E system. Three sets of multiplex PCRs were used to detect 13 E. coli virulence genes. As a result, a total of 172 E. coli isolates encoding one or more of the virulence genes were identified. Among them, the prevalence of individual virulence gene was as follows, (1) fimbrial adhesins (43.0%): F4 (16.9%), F5 (4.1%), F6 (1.7%), F18 (21.5%), and F41 (3.5%); (2) toxins (90.1%): LT (19.2%), STa (20.9%), STb (25.6%), Stx2e (15.1%), EAST1 (48.3%); and (3) non-fimbrial adhesin (19.6%): EAE (14.0%), AIDA-1 (11.6%) and PAA (8.7%), respectively. Taken together, various pathotypes and virotypes of E. coli were identified in diarrheic piglets. These results suggest a broad array of virulence genes is associated with coliform diarrhea in piglets in Korea.

Effects of Dietary Green Tea Probiotics, Alisma canaliculatum (Alismatis rhizoma) Probiotics and Fermented Kelp Meal as Feed Additives on Growth Performance and Immunity in Pregnant Sows (사료내 녹차 생균제, 택사 생균제 및 해조류 발효물의 첨가가 모돈의 생산성 및 면역성에 미치는 영향)

  • Kim, Ki-Soo;Kim, Gwi-Man;Ji, Hoon;Park, Sung-Wook;Yang, Chul-Ju
    • Journal of Animal Science and Technology
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    • v.53 no.1
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    • pp.43-50
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    • 2011
  • An investigation was done to evaluate the effects of adding green tea probiotics, Alisma canaliculatum probiotics and fermented Kelp meal on the growth performance and immune response in sows and piglets. A total of 32 pregnant sows were assigned to 4 treatments in 8 replications with 1 sow as a replicate in this experiment from 2 months before parturition to 28 days after parturition. Three hundred nineteen (319) piglets were produced from experimental sows after parturition. The dietary treatments were CON group (without antibiotics), GTP (basal+green tea probiotics, 0.5% of the diet), ACP group (basal + Alisma canaliculatum probiotics, 0.5% of the diet) and FKM group (basal+fermented Kelp meal, 0.5% of the diet). Litter size and body weight at birth and weaning size and body weight at weanling in piglets were greater in additives group compared to CON group but no statistical differences were found (P>0.05). Diarrhea score showed a decreasing tendency with three additives groups compared to CON group. The lymphocytes in blood of sows fed ACP and FKM group were significantly higher compared to CON group (P<0.05), and the MID of GTP and FKM group were significantly lower compared to CON group (P<0.05). The serum IgG concentration in sows tended to increase with additives groups compared to CON group and the serum IgA and IgM concentration in GTP and FKM group were significantly higher compared to ACP group (P<0.05). The cortisol levels showed a decreasing tendency in additives groups without statistical differences among the groups (P>0.05). Based on these observations, it can be inferred that the GTP and FKM may have such efficacy as antibiotics in growing pigs.

Estimation of Genetic Parameters for Reproductive Traits in Yorkshire (요크셔종의 번식형질에 대한 유전모수 추정)

  • Song, Kwang-Lim;Kim, Byeong-Woo;Roh, Seung-Hee;Sun, Du-Won;Kim, Hyo-Sun;Lee, Deuk-Hwan;Jeon, Jin-Tae;Lee, Jung-Gyu
    • Journal of agriculture & life science
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    • v.44 no.5
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    • pp.55-64
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    • 2010
  • This study was conducted to estimate genetic parameters for reproductive traits using multivariate animal models in Yorkshire breed. For the study, 4,989 records for litter traits collected between the year 2001 and 2005 from Yorkshire pigs in K GGP were used. The effects of environmental factors such as farrowing year, parity, weaning to estrus interval (WEI), and suckling period were statistically significant (p<0.05), but farrowing season was not significant, for reproductive traits. The estimates genetic correlations and phenotypic correlations in total number of born and number of suckling, was shown to highly correlated. The genetic correlations were higher than phenotypic correlation. The estimates of heritabilities for reproductive traits, considering permanent environment effects (PE) were much lower than those obtained when permanent environment effects were not considered (NPE) in the model. The estimates of heritabilities were 0.240 and 0.076 for total number of born and 0.187 and 0.096 for number of suckling in NPE, and PE, respectively. These results itivcate that PE should be considered in the statistical mode to estimate more acco ate breeding values.