Eficiencia de los métodos de diagnóstico de la preñez en el desempeño reproductivo de bovinos: Meta-análisis
DOI:
https://doi.org/10.21704/ac.v84i1.1757Palabras clave:
preñez, ganado, desempeño reproductivo, ISG-PAG-TRUS, razón de probabilidadesResumen
Los métodos de diagnóstico de preñez temprana tradicionales son la palpación rectal (PR) o la ultrasonografía transrectal (TRUS) antes de los días 35-45 post IA. Existen pruebas alternativas como la prueba de progesterona (P4), la glicoproteína asociada a la preñez (PAG) y los genes estimulados por interferón (ISG). Con el objetivo de determinar el método de diagnóstico de preñez con más precisión y con mayor similitud en comparación con la palpación rectal o ultrasonido (gold standard). Se realizó un enfoque estático utilizando un meta-análisis de efectos aleatorios que incluía cuatro métodos de detección temprana de gestación. Un resultado reproductivo de interés fue la precisión de diagnóstico de vacas preñadas para cada método. Todos los resultados nos muestran relación de probabilidades (OR) superior a 1, lo que significa que existe una mayor probabilidad de detectar vacas preñadas utilizando estas metodologías en lugar del estándar de oro. Aunque, el único método con un resultado significativo (p<0,05) es la prueba P4. Como el valor de OR supera 1, significa que el método evaluado detecta con más precisiones vacas preñadas en comparación con el patrón oro. Esta diferencia numérica significaría que todos los animales diagnosticados inicialmente como positivos (vacas gestantes) o sufrieron mortalidad embrionaria/fetal o fueron diagnosticados como falsos positivos. De lo contrario, cuando el valor de OR esté más cerca de 1, significa que la precisión de diagnóstico de las vacas preñadas se mantendrá hasta el segundo método de diagnóstico (estándar de oro). En este estudio, la prueba TRUS fue la más cercana a 1. En conclusión, la detección del embarazo por el método de la progesterona está relacionada con altas tasas de falsos positivos o mortalidad embrionaria. El método TRUS es el método que tiene mayor similitud con el patrón oro cuando se trata de vacas preñadas, seguido por PAG e ISG.
Descargas
Referencias
Bruinjé, T. C., & Ambrose, D. J. (2019). Validation of an automated in-line milk progesterone analysis system to diagnose pregnancy in dairy cattle. Journal of dairy science, 102(4), 3615-3621.
Commun, L., Velek, K., Barbry, J. B., Pun, S., Rice, A., Mestek, A., ... & Leterme, S. (2016). Detection of pregnancy-associated glycoproteins in milk and blood as a test for early pregnancy in dairy cows. Journal of Veterinary Diagnostic Investigation, 28(3), 207-213.
Diskin, M. G., & Morris, D. G. (2008). Embryonic and early foetal losses in cattle and other ruminants. Reproduction in Domestic Animals, 43, 260-267.
Diskin, M. G., Waters, S. M., Parr, M. H., & Kenny, D. A. (2016). Pregnancy losses in cattle: potential for improvement. Reproduction, Fertility and Development, 28(2), 83-93.
Dufour, S., Durocher, J., Dubuc, J., Dendukuri, N., Hassan, S., & Buczinski, S. (2017). Bayesian estimation of sensitivity and specificity of a milk pregnancy-associated glycoprotein-based ELISA and of transrectal ultrasonographic exam for diagnosis of pregnancy at 28–45 days following breeding in dairy cows. Preventive veterinary medicine, 140, 122-133.
Ealy, A; Seekford, Zl. (2019) Symposium review: Predicting pregnancy loss in dairy cattle. Journal of Dairy Science, 102(12): 11798 - 11804. https://doi.org/10.3168/jds.2019-17176
Faustini, M., Battocchio, M., Vigo, D., Prandi, A., Veronesi, M. C., Comin, A., & Cairoli, F. (2007). Pregnancy diagnosis in dairy cows by whey progesterone analysis: An ROC approach. Theriogenology, 67(8), 1386-1392.
French, PD, Nebel, RL. (2003) The simulated economic cost of extended calving intervals in dairy herds and comparison of reproductive management programs [abstract]. J Dairy Sci 2003;86(Suppl 1):54.
Fricke, P.; Ricci, A.; Giordano, J.; Carvalho, P. (2016) Methods for and Implementation of Pregnancy Diagnosis in Dairy Cows. Veterinary Clinics of North America: Food Animal Practice. 3281): 165-180. https://doi.org/10.1016/j.cvfa.2015.09.006.
Green, J. C., Volkmann, D. H., Poock, S. E., McGrath, M. F., Ehrhardt, M., Moseley, A. E., & Lucy, M. C. (2009). A rapid enzyme-linked immunosorbent assay blood test for pregnancy in dairy and beef cattle. Journal of dairy science, 92(8), 3819-3824.
Gunn D., Hall J. (2018). Pregnancy Testing in Beef Cattle. University of Idaho Agricultural Economics and Rural Sociology. Disponible en: https://www.extension.uidaho.edu/publishing/pdf/BUL/BUL913.pdf
Han, H., Austin, K. J., Rempel, L. A., & Hansen, T. R. (2006). Low blood ISG15 mRNA and progesterone levels are predictive of non-pregnant dairy cows. Journal of Endocrinology, 191(2), 505-512.
Higgins,J y Green, S. (2011). Cochrane Handbook for Systematics reviews of intervention Version 5.1.0. The Cochrane Collaboration.Retrievedfrom www. cochrane-handbook.org
Holtz, W., & Niggemeyer, H. (2019). Reliable identification of pregnant dairy cows by double milk progesterone analysis. Livestock Science, 228, 38-41.
Karen, A., De Sousa, N. M., Beckers, J. F., Bajcsy, Á. C., Tibold, J., Mádl, I., & Szenci, O. (2015). Comparison of a commercial bovine pregnancy-associated glycoprotein ELISA test and a pregnancy-associated glycoprotein radiomimmunoassay test for early pregnancy diagnosis in dairy cattle. Animal reproduction science, 159, 31-37.
Kaya, M. S., KÖSE, M., Bozkaya, F., Mutlu, H., UÇAR, E. H., & Atli, M. O. (2016). Early pregnancy diagnosis using a commercial ELISA test based on pregnancy-associated glycoproteins in Holstein-Friesian heifers and lactating cows. Turkish Journal of Veterinary and Animal Sciences, 40(6), 694-699.
Lee, J. M., Kim, H. S., Jeong, S. G., & Jung, J. K. (1996). Studies on the early pregnancy determination in cows by using the enzyme-immunoassy and radio-immunoassay in milk. Asian-Australasian Journal of Animal Sciences, 9(3), 299-302.
Mayo, L. M., Moore, S. G., Poock, S. E., Silvia, W. J., & Lucy, M. C. (2016). Validation of a chemical pregnancy test in dairy cows that uses whole blood, shortened incubation times, and visual readout. Journal of dairy science, 99(9), 7634-7641.
Melo, G. D., Mello, B. P., Ferreira, C. A., Souto Godoy Filho, C. A., Rocha, C. C., Silva, A. G., & Pugliesi, G. (2020). Applied use of interferon-tau stimulated genes expression in polymorphonquclear cells to detect pregnancy compared to other early predictors in beef cattle. Theriogenology, 152, 94-105.
Meziane, R., Boughris, F., Benhadid, M., Niar, A., Mamache, B., & Meziane, T. (2021). Comparative evaluation of two methods of pregnancy diagnosis in dairy cattle in the East of Algeria: proteins associated with pregnancy and ultrasonography. Biological Rhythm Research, 52(2), 237-245.
Moussafir, Z., Allai, L., El Khalil, K., Essamadi, A., & El Amiri, B. (2018). Could a bovine pregnancy rapid test be an alternative to a commercial pregnancy-associated glycoprotein ELISA test in dairy cattle?. Animal reproduction science, 192, 78-83.
Oliveira Filho, R. V., Franco, G. A., Reese, S. T., Dantas, F. G., Fontes, P. L. P., Cooke, R. F., ... & Pohler, K. G. (2020). Using pregnancy associated glycoproteins (PAG) for pregnancy detection at day 24 of gestation in beef cattle. Theriogenology, 141, 128-133.
Piechotta, M., Bollwein, J., Friedrich, M., Heilkenbrinker, T., Passavant, C., Branen, J., ... & Bollwein, H. (2011). Comparison of commercial ELISA blood tests for early pregnancy detection in dairy cows. Journal of Reproduction and Development, 57(1), 72-75.
Pugliesi, G., Miagawa, B. T., Paiva, Y. N., França, M. R., Silva, L. A., & Binelli, M. (2014). Conceptus-induced changes in the gene expression of blood immune cells and the ultrasound-accessed luteal function in beef cattle: how early can we detect pregnancy?. Biology of Reproduction, 91(4), 95-1.
Reese, S. T., Franco, G. A., Poole, R. K., Hood, R., Montero, L. F., Oliveira Filho, R. V., & Pohler, K. G. (2020). Pregnancy loss in beef cattle: A meta-analysis. Animal reproduction science, 212, 106251.
Reese, S.T.; Pereira, M.H.C.; Edwards, J.L.; Vasconcelos, J.L.M.; Pohler, K.G. (2018) Pregnancy diagnosis in cattle using pregnancy associated glycoprotein concentration in circulation at day 24 of gestation. Theriogenology 106;178-185. https://doi.org/10.1016/j.theriogenology.2017.10.020.
Romano, J. E., & Larson, J. E. (2010). Accuracy of pregnancy specific protein-B test for early pregnancy diagnosis in dairy cattle. Theriogenology, 74(6), 932-939.
Serrano-Pérez, B., Molina, E., Noya, A., López-Helguera, I., Casasús, I., Sanz, A., & Villalba, D. (2020). Maternal nutrient restriction in early pregnancy increases the risk of late embryo loss despite no effects on peri-implantation interferon-stimulated genes in suckler beef cattle. Research in veterinary science, 128, 69-75.
Shephard, R.W.; Morton, J.M. (2018) Estimation of sensitivity and specificity of pregnancy diagnosis using transrectal ultrasonography and ELISA for pregnancy-associated glycoprotein in dairy cows using a Bayesian latent class model. New ZealandVeterinaryJournal, 66(1): 30-36, https://doi.org/10.1080/00480169.2017.1391723
Silva, E., Sterry, R. A., Kolb, D., Mathialagan, N., McGrath, M. F., Ballam, J. M., & Fricke, P. M. (2007). Accuracy of a pregnancy-associated glycoprotein ELISA to determine pregnancy status of lactating dairy cows twenty-seven days after timed artificial insemination. Journal of dairy science, 90(10), 4612-4622.
Sinedino, L. D. P., Lima, F. S., Bisinotto, R. S., Cerri, R. L. A., & Santos, J. E. P. (2014). Effect of early or late resynchronization based on different methods of pregnancy diagnosis on reproductive performance of dairy cows. Journal of Dairy Science, 97(8), 4932-4941.
Soumaya, N. P., Das, D. N., Jeyakumar, S., Mondal, S., Mor, A., & Mundhe, U. T. (2017). Differential expression of ISG 15 mRNA in peripheral blood mononuclear cells of nulliparous and multiparous pregnant versus non‐pregnant Bos indicus cattle. Reproduction in Domestic Animals, 52(1), 97-106.
Speckhart, S. L., Reese, S. T., Franco, G. A., Ault, T. B., Oliveira Filho, R. V., Oliveira, A. P., ... & Pohler, K. G. (2018). Invited Review: Detection and management of pregnancy loss in the cow herd. The Professional Animal Scientist, 34(6), 544-557.
Wijma, R., Stangaferro, M. L., Kamat, M. M., Vasudevan, S., Ott, T. L., & Giordano, J. O. (2016). Embryo mortality around the period of maintenance of the corpus luteum causes alterations to the ovarian function of lactating dairy cows. Biology of reproduction, 95(5), 112-1.
Wu, L., Xu, C., Xia, C., Duan, Y., Xu, C., Zhang, H., & Bao, J. (2014). Development and application of an ELISA kit for the detection of milk progesterone in dairy cows. Monoclonal antibodies in immunodiagnosis and immunotherapy, 33(5), 330-333.
Yoshino, H., Kizaki, K., Iga, K., Hirata, T. I., Matsuda, H., Yamanouchi, T., & Hashizume, K. (2020). Use of a prediction method for early pregnancy status utilizing receiver operating characteristic curve analysis of peripheral blood leukocyte interferon-stimulated genes in Japanese-Black cattle. Animal reproduction science, 214, 106283.
Yoshino, H., Toji, N., Sasaki, K., Koshi, K., Yamagishi, N., Takahashi, T., ... & Hashizume, K. (2018). A predictive threshold value for the diagnosis of early pregnancy in cows using interferon-stimulated genes in granulocytes. Theriogenology, 107, 188-193.
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2023 Natalia Sofia Vindrola Muñóz, Edwin Alberto Mellisho Salas
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
