• Asian-Australasian Journal of Animal Sciences
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• 제12권5호
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• pp.682-688
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• 1999

Thirty nine pregnant Javanese thin-tail ewes (20 and 19 carried a single and multiple [2 to 3] fetuses, respectively), and six nonpregnant ewes as controls were used to measure maternal serum hormone and blood metabolite concentrations as predictors of number of fetuses carried during pregnancy. Serum hormones (progesterone, estradiol, triiodothyronine, and cortisol) and blood metabolites (b-hydroxy butyric acid [BHBA], and blood urea nitrogen [BUN]) were determined every four weeks during pregnancy and were used to predict litter size by discriminant analysis. The results of data analysis indicated that serum progesterone and estradiol concentrations at weeks 8, 12, 16 of pregnancy could be used to predict the number of fetuses carried with precision of 86.7 to 95.6%. Serum triiodothyronine, cortisol, BHBA, and BUN concentrations during pregnancy, however, were not good predictors of the number of fetuses carried. Serum progesterone and estradiol concentrations as early as 8 weeks of pregnancy in sheep could predict the number of fetuses carried with 86.7% precision.

• Animal Bioscience
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• 제37권3호
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• pp.522-535
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• 2024

Objective: Transition period is considered from 3 weeks prepartum to 3 weeks postpartum, characterized with dramatic events (endocrine, metabolic, and physiological) leading to occurrence of production diseases (negative energy balance/ketosis, milk fever etc). The objectives of our study were to analyze the periodic concentration of serum beta-hydroxy butyric acid (BHBA), glucose and oxidative markers along with identification, and validation of the putative markers of negative energy balance in buffaloes using in-silico and quantitative real time-polymerase chain reaction (qRT-PCR) assay. Methods: Out of 20 potential markers of ketosis identified by in-silico analysis, two were selected and analyzed by qRT-PCR technique (upregulated; acetyl serotonin o-methyl transferase like and down regulated; guanylate cyclase activator 1B). Additional two sets of genes (carnitine palmotyl transferase A; upregulated and Insulin growth factor; downregulated) that have a role of hepatic fatty acid oxidation to maintain energy demands via gluconeogenesis were also validated. Extracted cDNA (complementary deoxyribonucleic acid) from the blood of the buffaloes were used for validation of selected genes via qRTPCR. Concentrations of BHBA, glucose and oxidative stress markers were identified with their respective optimized protocols. Results: The analysis of qRT-PCR gave similar trends as shown by in-silico analysis throughout the transition period. Significant changes (p<0.05) in the levels of BHBA, glucose and oxidative stress markers throughout this period were observed. This study provides validation from in-silico and qRT-PCR assays for potential markers to be used for earliest diagnosis of negative energy balance in buffaloes. Conclusion: Apart from conventional diagnostic methods, this study improves the understanding of putative biomarkers at the molecular level which helps to unfold their role in normal immune function, fat synthesis/metabolism and oxidative stress pathways. Therefore, provides an opportunity to discover more accurate and sensitive diagnostic aids.