Characterization of pregnancy-associated glycoproteins and progesterone as a predictor of twins and conceptus loss in high-risk-pregnancy Holstein cows

Peixoto, P.M.; Hubner, A.M.; Júnior, Wálter Martins; Cunha, L.L.; Garrett, Edgar F.; Pohler, K. G.; Dias, Nicholas W; Mercadante, Vitor R G; Canisso, Igor F.; Lima, F.S.

doi:10.3168/jds.2020-19334

Cited by 7 publications

(6 citation statements)

References 54 publications

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“…Although plasma PSPB levels could not distinguish between cows carrying twins and singletons (2.1 vs. 2.9 ng/mL), mortality was higher in the case o singletons, yet the authors provided no explanation for the differences. In another recen study conducted in the US, plasma P4 concentrations differed in the case of unilatera twins, yet plasma PAG concentrations did not [28]. We also examined twin and singleton pregnancies in the first 4 months of gestation and, again, found no differences in PAG concentrations between twin and singleton pregnancies [29].…”

Section: Noninfectious Causes Ofmentioning

confidence: 71%

Noninfectious Causes of Pregnancy Loss at the Late Embryonic/Early Fetal Stage in Dairy Cattle

Szelényi,

Szenci,

Bodó

et al. 2023

Animals

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In cattle, initial pregnancy diagnosis takes place during the late embryonic/early fetal stage of gestation. From this point onward, pregnancy loss may occur in up to one fifth of pregnancies before the initial pregnancy diagnosis is confirmed. This means the early identification of risk factors is a key part of pregnancy diagnosis and herd management. The various factors responsible for pregnancy losses are classified into infectious and noninfectious. Among the noninfectious causes, several dam-related (circumstances of the individual pregnancy or milk production) and herd-related factors causing stress have been well established. In this review, we summarize the impacts of these noninfectious factors and predict associated risks of pregnancy loss.

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Section: Noninfectious Causes Ofmentioning

confidence: 71%

Noninfectious Causes of Pregnancy Loss at the Late Embryonic/Early Fetal Stage in Dairy Cattle

Szelényi,

Szenci,

Bodó

et al. 2023

Animals

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“…In high-risk pregnant cows, regression and ROC analysis for P4 was successfully used to predict pregnancy loss with a threshold of 6.5 ng/mL or an area under the curve (AUC) of 0.64 at day 37 post-AI (Peixoto et al, 2021).…”

Section: Prog E S Terone (P4) Con Centr Ati On De Tec Ti Onmentioning

confidence: 99%

“…Similarly, there was an increased risk of pregnancy loss in dairy cows with lower peripheral blood progesterone levels (low progesterone concentration: 74.6%, intermediate progesterone concentration: 8.4%, high progesterone concentration: 7.1%) at 28 days after AI (Omontese et al., 2020). In high‐risk pregnant cows, regression and ROC analysis for P4 was successfully used to predict pregnancy loss with a threshold of 6.5 ng/mL or an area under the curve (AUC) of 0.64 at day 37 post‐AI (Peixoto et al., 2021).…”

Section: Progesterone (P4) Concentration Detectionmentioning

confidence: 99%

Recent advances in early pregnancy loss diagnosis in dairy cows: New approaches

Gui,

Dai,

Guo

et al. 2024

Reprod Domestic Animals

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Early pregnancy loss is a primary cause of low reproductive rates in dairy cows, posing severe economic losses to dairy farming. The accurate diagnosis of dairy cows with early pregnancy loss allows for oestrus synchronization, shortening day open, and increasing the overall conception rate of the herd. Several techniques are available for detecting early pregnancy loss in dairy cows, including rectal ultrasound, circulating blood progesterone, and pregnancy‐associated glycoproteins (PAGs). Yet, there is a need to improve on existing techniques and develop novel strategies to identify cows with early pregnancy loss accurately. This manuscript reviews the applications of rectal ultrasound, circulating blood progesterone concentration, and PAGs in the diagnosis of pregnancy loss in dairy cows. The manuscript also discusses the recent progress of new technologies, including colour Doppler ultrasound (CDUS), interferon tau‐induced genes (ISGs), and exosomal miRNA in diagnosing pregnancy loss in dairy cows. This study will provide an option for producers to re‐breed cows with pregnancy loss, thereby reducing the calving interval and economic costs. Meanwhile, this manuscript might also act as a reference for exploring more economical and precise diagnostic technologies for early pregnancy loss in dairy cows.

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“…IMMULITE ® 2000 XPi is the newest model and is the only fully automated system that has been validated and optimized to accurately measure [P4] in human serum. To the best of our knowledge, there are no studies in bovine literature that have validated the IMMULITE ® 2000 XPi P4 immunoassay (IPI) for cattle; although, several veterinary diagnostic laboratories are using this technology to measure circulating blood [P4] in cattle ( 14 ). Therefore, there is a pressing need in both research and clinical settings for studies to validate the new system for cattle.…”

Section: Introductionmentioning

confidence: 99%

Validation of a fully automated chemiluminescent immunoassay for cattle serum and plasma progesterone measurement

et al. 2023

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IntroductionMonitoring circulating progesterone concentration ([P4]) is an important component of basic and applied reproduction research and clinical settings. IMMULITE® 2000 XPi (Siemens Healthineers, Cary, NC) is a newly upgraded fully automated immunoassay system marketed for human use to measure concentrations of different measurands including P4.ObjectivesOur objective was therefore to characterize the analytical performance of the IMMULITE® 2000 XPi P4 immunoassay (IPI) across the reportable range in serum and plasma of cattle.MethodsThe IPI validation protocols included characterization of the method linearity, within-run, and between-run precision through calculation of the coefficient of variation (CV). The method accuracy was assessed through the calculation of the spiking-recovery (SR) bias across the reportable range (0.2–40.0 ng/mL). Passing–Bablok regression and Bland-Altman plots were used to determine the interlaboratory bias for two laboratories. Three types of observed total error (TEo) were calculated based on the considered type of bias, TEoSR (spiking-recovery), TEoRB (range-based bias), and TEoAB (average-based bias).ResultsThe IPI was linearly related to the true value (R2 = 0.997) across the reportable range. The within-run and between-run precision (CV%) of the IPI for both serum and plasma [P4] of clinical relevance (1, 2, 5, and 10 ng/mL) were <5 and <10%, respectively. The TEo reported here for serum and plasma at [P4] of 1 and 5 ng/mL was ~20 and 25%, respectively. Of interest, the three types of TEo were relatively similar regardless of the considered bias.ConclusionsWe concluded that the automated IPI provides a precise, accurate, reliable, and safe method for measuring [P4] in both serum and plasma of cattle. Consistent with the manufacturer's recommendations, the serum matrix is more accurate than plasma.

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Characterization of pregnancy-associated glycoproteins and progesterone as a predictor of twins and conceptus loss in high-risk-pregnancy Holstein cows

Cited by 7 publications

References 54 publications

Noninfectious Causes of Pregnancy Loss at the Late Embryonic/Early Fetal Stage in Dairy Cattle

Noninfectious Causes of Pregnancy Loss at the Late Embryonic/Early Fetal Stage in Dairy Cattle

Recent advances in early pregnancy loss diagnosis in dairy cows: New approaches

Validation of a fully automated chemiluminescent immunoassay for cattle serum and plasma progesterone measurement

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