Literature DB >> 15823348

Use of a homologous radioimmunoassay (RIA) to evaluate the effect of maternal and foetal parameters on pregnancy-associated glycoprotein (PAG) concentrations in sheep.

Leen Vandaele1, Steven Verberckmoes, Bouchra El Amiri, José Sulon, Luc Duchateau, Ann Van Soom, Jean-François Beckers, Aart de Kruif.   

Abstract

Early pregnancy detection and prediction of the number of lambs would be profitable for sheep breeders because it enables them to adjust nourishment of pregnant ewes according to the individual needs in order to prevent health problems around parturition. The concentration of ovPAG has previously been reported to be related with maternal parameters (farm, breed and age) as well as foetal parameters (number of lambs, their sex and birth weight), but contradictory results were obtained in different small-scale studies. This large-scale study evaluates the effect of these parameters on the ovPAG concentration, determined by a homologous radioimmunoassay (RIA), and it further investigates the possibility to predict the number of lambs by means of homologous ovPAG determination. Eighty-three and ninety-five ewes of the Suffolk and Texel breed, respectively, housed on four different farms (experiment 1) and 68 ewes of the Suffolk breed, housed on two different farms (experiment 2) were included in this study, and their estrous cycles were synchronised using a progesterone analogue. On the day of synchronisation (D-14) and at 25 (D25), 35 (D35) and 45 (D45) days after insemination, blood samples were taken and a homologous radioimmunoassay (RIA) was used to determine the ovPAG concentrations. At parturition, age of the ewe, number and sex of the lambs (experiment 1) and birth weight (experiment 2) were registered. OvPAG concentrations were not affected by age of the ewe and sex of the lambs. Farm and breed of the ewes, number and birth weight of the lambs had a significant effect on ovPAG concentrations at all time points (P<0.05). The odds of multiple lambs increased significantly with increasing ovPAG concentration, although prediction of litter size based on ovPAG concentration at the individual ewe level was not useful due to small sensitivity and/or specificity whatever the cutoff value used. In conclusion, the ovPAG concentration is affected by farm and breed of the ewes, and number and birth weight of the lambs.

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Year:  2005        PMID: 15823348     DOI: 10.1016/j.theriogenology.2004.08.009

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  5 in total

1.  Shearing during late pregnancy increases size at birth but does not alter placental endocrine responses in sheep.

Authors:  C A Rosales Nieto; A Mantey; B Makela; T Byrem; R Ehrhardt; A Veiga-Lopez
Journal:  Animal       Date:  2019-11-06       Impact factor: 3.240

2.  Preconceptional diet manipulation and fetus number can influence placenta endocrine function in sheep.

Authors:  C A Rosales-Nieto; R Ehrhardt; A Mantey; B Makela; A Veiga-Lopez
Journal:  Domest Anim Endocrinol       Date:  2020-10-08       Impact factor: 2.290

Review 3.  Using Pregnancy-Associated Glycoproteins (PAGs) to Improve Reproductive Management: From Dairy Cows to Other Dairy Livestock.

Authors:  Olimpia Barbato; Laura Menchetti; Gabriele Brecchia; Vittoria Lucia Barile
Journal:  Animals (Basel)       Date:  2022-08-10       Impact factor: 3.231

4.  Purification of pregnancy-associated glycoproteins from late-pregnancy Bubalus bubalis placentas and development of a radioimmunoassay for pregnancy diagnosis in water buffalo females.

Authors:  Olimpia Barbato; Noelita Melo de Sousa; Vittoria Lucia Barile; Claudio Canali; Jean-François Beckers
Journal:  BMC Vet Res       Date:  2013-05-01       Impact factor: 2.741

5.  Identification of potential protein biomarkers for early detection of pregnancy in cow urine using 2D DIGE and label free quantitation.

Authors:  Preeti Rawat; Shveta Bathla; Rubina Baithalu; Munna Lal Yadav; Sudarshan Kumar; Syed Azamal Ali; Anurag Tiwari; Masoud Lotfan; Jasmine Naru; Manoj Jena; Pradip Behere; Ashok K Balhara; Rajesh Vashisth; Inderjeet Singh; Ajay Dang; Jai K Kaushik; Tushar K Mohanty; Ashok K Mohanty
Journal:  Clin Proteomics       Date:  2016-07-15       Impact factor: 3.988

  5 in total

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