Pregnancy-associated glycoprotein concentrations during pregnancy and the postpartum period in Azawak Zebu cattle

Sousa, Noelita Melo de; Zongo, Moussa; Pitala, W.; Boly, H.; Sawadogo, L.; Sanon, Mahorobi; Figueiredo, José Ricardo de; Gonçalves, Paulo Bayard Dias; Amiri, Bassir; Perényi, Z.; Beckers, Jean‐François

doi:10.1016/s0093-691x(02)01160-3

Cited by 33 publications

(30 citation statements)

References 40 publications

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“…Some notable features of circulating bovine PAGs relate to their rather high concentration (1-5 mg/ml) immediately before parturition and their relatively long half-life (8-10 days) in the post partum period (Sasser et al 1989, Zoli et al 1992, Kiracofe et al 1993, Melo de Sousa et al 2003. Interestingly, the measurable half-life appears to differ depending on when during pregnancy it is measured.…”

Section: Pags As Circulating Markers To Study Placental Function and mentioning

confidence: 99%

Placental PAGs: gene origins, expression patterns, and use as markers of pregnancy

et al. 2015

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Pregnancy-associated glycoproteins (PAGs) are abundantly expressed products of the placenta of species within the Cetartiodactyla order (even-toed ungulates). They are restricted to this order and they are particularly numerous in the Bovidae. The PAGs exhibit a range of temporal and spatial expression patterns by the placental trophoblasts and probably represent a group of related proteins that perform a range of distinct functions in the epitheliochorial and synepitheliochorial placental forms. This review presents an overview of the origins of the PAGs, a summary of PAG expression patterns, and their use as markers of pregnancy status. Speculations about their putative role(s) in pregnancy are also presented.Reproduction (2015) 149 R115-R126

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Section: Pags As Circulating Markers To Study Placental Function and mentioning

confidence: 99%

Placental PAGs: gene origins, expression patterns, and use as markers of pregnancy

et al. 2015

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“…The suspected pregnant cows had blood progesterone levels higher than 2 ng/ml after 21 days post AI (Thimonier, 2000). The positivity threshold for the PAG was 0.8 ng/ml in cows on the 35th day after AI (Sousa et al, 2003).…”

Section: Pregnancy Diagnosismentioning

confidence: 89%

“…The plasma concentrations of PAG and progesterone were measured using the radioimmunological assay systems (RIA) (Zoli et al, 1992;Sousa et al, 2003), in order to determine the physiological status (pregnant, non pregnant, or embryonic mortality) of the inseminated cows. The suspected pregnant cows had blood progesterone levels higher than 2 ng/ml after 21 days post AI (Thimonier, 2000).…”

Section: Pregnancy Diagnosismentioning

confidence: 99%

Impact of the Selection Criteria of Artificially Inseminated Cows on the Probability of Conception and the Occurrence of Embryonic Mortality in Senegal: Modeling Approach

Mouiche¹,

Sow²,

Kalandi³

et al. 2013

SAR

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The objective of this study was to measure the relative influence of the animal's age, body condition score (BCS), glycemia at day of insemination (D 0 ) and the livestock management system on the probability of conception and occurrence of embryonic mortalities. In this study, 81 inseminated cows both of the Gobra Zebu breed and crossbred were sampled. Blood samples were collected the day of insemination (D 0 ) and twenty-one (D 21 ) and thirty-five (D 35 ) days after AI. The BCS, the age and the livestock management system were recorded for all animals before the artificial insemination (AI). The glycemia was measured on D 0 . Pregnancy diagnosis was performed by progesterone and pregnancy associated glycoprotein assays and transrectal palpation. A multinomial logistic model was used to analyze the effect of the selection criteria for cows on the success rate of AI.The pregnancy diagnosis makes possible to detect 47% of pregnant cows and 26% of late embryonic mortality (LEM) at D 60 post AI. The maximum likelihood test carried out on the model permits to reject the null hypothesis (p < 0.0001) according to which all animals have the same chance of being pregnant (47%). The variables thus provide a significant amount of information to explain the variability in the success rate of AI. The most significant factor was age (p < 0.0001), followed by the BCS, then glycemia and finally the livestock management system (p = 0.047). The BCS is the factor that most explains the variability in pregnant cows. For the group of LEM, age of the animal accounts for variability.

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“…Any Bos indicus influence in the genetic base will increase PAG concentrations over a straightbred Bos taurus cow (Mercadante et al, 2013). Others have reported that profiles of circulating PAG are similar between subspecies although Bos indicus cows may have a smaller relative increase in the weeks preceding parturition (Sousa et al, 2003). High producing dairy cows exhibit a significant negative correlation between milk production and PAG concentration.…”

Section: Pags As Indicators Of Embryo Successmentioning

confidence: 92%

“…This assay was highly specific and the validating study concluded that PAGs were secreted into the maternal system and were unique to pregnant animals. A study by validated an ELISA that specifically targeted PAGs secreted early in gestation that had a shorter halflife (4.3 days vs. 8.4 days) than the previous targets to reduce the potential for false positives in postpartum cows (Zoli et al, 1992;Sousa et al, 2003;Green et al, 2005). The ELISA was demonstrated to accurately detect pregnant cows via serum concentrations of PAGs at day 28 post insemination.…”

Section: Pags and Pregnancy Diagnosismentioning

confidence: 99%

Markers of pregnancy: how early can we detect pregnancies in cattle usingpregnancy-associated glycoproteins (PAGs) and microRNAs?

Reese¹,

Pereira²,

Vasconcelos³

et al. 2016

Anim Reprod

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Pregnancy-associated glycoprotein concentrations during pregnancy and the postpartum period in Azawak Zebu cattle

Cited by 33 publications

References 40 publications

Placental PAGs: gene origins, expression patterns, and use as markers of pregnancy

Placental PAGs: gene origins, expression patterns, and use as markers of pregnancy

Impact of the Selection Criteria of Artificially Inseminated Cows on the Probability of Conception and the Occurrence of Embryonic Mortality in Senegal: Modeling Approach

Markers of pregnancy: how early can we detect pregnancies in cattle usingpregnancy-associated glycoproteins (PAGs) and microRNAs?

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