Identification and validation of putative biomarkers by in silico analysis, mRNA expression and oxidative stress indicators for negative energy balance in buffaloes during transition period
| Autor: | Savleen Kour, Neelesh Sharma, Praveen Kumar Guttula, Mukesh Kumar Gupta, Marcos Veiga dos Santos, Goran Bacic, Nino Macesic, Anand Kumar Pathak, Young-Ok Son |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Animal Bioscience, Vol 37, Iss 3, Pp 522-535 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2765-0189 2765-0235 |
| DOI: | 10.5713/ab.23.0284 |
| Popis: | 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 qRT-PCR. 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 |
| Databáze: | Directory of Open Access Journals |
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