EVALUATION OF IL-1Β AND TNF-Α GENES EXPRESSIONs IN PLACENTA OF COWS WITH AND WITHOUT HYPERKETONEMIA
ketosis; cytokines; transition period; negative energy balance
Cattle farming is one of the main livestock activities in Brazil. However, herd production can be impaired by metabolic syndromes such as hyperketonemia. This condition is characterized by an increase in ketone bodies in tissues and body fluids, along with changes in the metabolic profile and cytokine expression patterns. IL-1β and TNF-α are pro-inflammatory cytokines that act as key mediators in inflammatory responses during various clinical conditions in the transition period of productive cows. In the placenta and other embryonic tissues of these animals, these cytokines work together to increase uterine contraction and weaken the fetal membrane, facilitating fetal expulsion. Thus, this study aimed to evaluate the expression of IL-1β and TNF-α in the placenta of cows with and without hyperketonemia and to correlate the results with energy, protein, and hormonal profile variables. Placental tissue samples were collected and divided into two groups: G1 (Control Group) - consisting of 18 healthy cows (β-hydroxybutyrate <1.2 mmol/L); and G2 (Study Group) - consisting of 13 cows with hyperketonemia (β-hydroxybutyrate >1.2 mmol/L). Blood samples were collected to assess the following biochemical indicators: NEFA, BHB, glucose, total protein, albumin, globulin, urea, creatinine, insulin, and cortisol. The placental fragments were stored in cryotubes containing TRIzol and maintained at -80°C. RNA extraction was performed using the TRIzol method. cDNA was synthesized from 1 μg of total RNA. Gene expression analyses were performed using the Amplio 96 real-time PCR platform (LOCCUS). For normalization, the difference between the mean Ct of the target gene and the mean Ct of the endogenous gene (ΔCt) was calculated. All statistical analyses were performed using the JAMOVI software. The results showed a significant increase in IL-1β and TNF-α expression in the hyperketonemia group compared to the control group (p < 0.05). Various levels of correlation were observed among the variables, with notable findings including: a positive relationship between IL-1β, TNF-α, and NEFA; a positive correlation of TNF-α with BHB, NEFA, and total protein; a positive correlation of BHB with NEFA and a negative correlation with glucose; a positive correlation between total protein and globulin; and a negative correlation of albumin with glucose and a positive correlation with cortisol. Therefore, we conclude that IL-1β and TNF-α, traditionally associated with inflammation, can serve as effective biomarkers for identifying and monitoring hyperketonemia in cows during the transition period. By correlating these cytokines with specific metabolic markers, such as BHB and NEFA, this study offers a potential tool for the early detection of this condition, enabling faster interventions that preserve cow health, welfare, and productivity.