Non-invasive assessment of embryonic sex in cattle by metabolic fingerprinting of in vitro culture medium

Muñoz, M.; Uyar, Asli; Correia, E.; Díez, C.; Fernández‐González, Alfonso; Caamaño, J. N.; Trigal, B.; Carrocera, S.; Seli, Emre; Gómez, E.

doi:10.1007/s11306-013-0587-9

Cited by 30 publications

(26 citation statements)

References 48 publications

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“…In a recent study, we performed a benchmarking experiment to assess the discrimination capability of a variety of classification algorithms on prediction of embryonic sex using CM spectra (Muñoz et al, 2014a). Among the classifiers tested, k-Nearest Neighbor ( k-NN ) provided the highest prediction accuracy.…”

Section: Methodsmentioning

confidence: 99%

“…The study revealed differences in CM metabolite ratios between pregnant and nonpregnant women diagnosed by urinary analysis of the β subunit of human chorionic gonadotropin (βhCG; Wallace et al, 2014). By using another spectroscopy technique, Fourier transform infrared spectroscopy ( FTIR ), we recently developed a noninvasive system that successfully predicted embryonic sex after analysis of spent CM (Muñoz et al, 2014a). However, monitoring individual embryos requires single-embryo culture, an objective not yet refined with simple medium in cattle (Goovaerts et al, 2010), in which IVP embryos benefit developmentally from group culture.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of pregnancy viability in bovine in vitro-produced embryos and recipient plasma with Fourier transform infrared spectroscopy

Muñoz

Uyar

Correia

et al. 2014

Journal of Dairy Science

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We analyzed embryo culture medium (CM) and recipient blood plasma using Fourier transform infrared (FTIR) metabolomics to predict pregnancy outcome. Individually cultured, in vitro-produced (IVP) blastocysts were transferred to recipients as fresh and vitrified-warmed. Spent CM and plasma samples were evaluated using FTIR. The discrimination capability of the classifiers was assessed for accuracy, sensitivity (pregnancy), specificity (nonpregnancy), and area under the receiver operator characteristic curve (AUC). Within all IVP fresh embryos (birth rate = 52%), high AUC were obtained at birth, especially with expanded blastocysts (CM: 0.80 ± 0.053; plasma: 0.89 ± 0.034). The AUC of vitrified IVP embryos (birth rate = 31%) were 0.607 ± 0.038 (CM, expanded blastocysts) and 0.672 ± 0.023 (plasma, all stages). Recipient plasma generally predicted pregnancy outcome better than did embryo CM. Embryos and recipients with improved pregnancy viability were identified, which could increase the economic benefit to the breeding industry.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of pregnancy viability in bovine in vitro-produced embryos and recipient plasma with Fourier transform infrared spectroscopy

Muñoz

Uyar

Correia

et al. 2014

Journal of Dairy Science

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“…Metabolomic analysis of spent culture media of IVF produced cattle embryos was able to distinguish between male and female embryos (Uyar et al 2013;Gomez et al 2016). The accuracy in predicting sex using spent culture media of bovine IVF embryos increased from early blastocysts (74%) to expanded blastocysts (86%) (Munoz et al 2014b). Metabolomics, proteomics and miRNA have also been applied to assess stage of embryo development and embryo quality (Al Naib et al 2009;Rodgaard et al 2015).…”

Section: Assisted Reproductionmentioning

confidence: 99%

Metabolic health, the metabolome and reproduction in female cattle: a review

D’Occhio

Baruselli

Campanile

2019

Italian Journal of Animal Science

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Studies over the past 30 years have confirmed the important role of metabolic hormones and metabolic substrates in reproductive function in female cattle. The emergence of metabolomics is providing a deeper understanding of the role of specific metabolites, and clusters of metabolites, in reproduction and also health and disease. Dairy cows undergo major fluctuations in metabolic health and metabolomics is helping to better understand the changes in metabolite profiles associated with negative energy balance and ketosis. New knowledge that emerges from this work should lead to improved nutritional management of dairy cows. In reproduction, it is now possible to gain a metabolomic signature of ovarian follicular fluid and of developing embryos. This should likewise lead to improvements in both natural and assisted reproduction in cattle. Systems biology integrates genomics, transcriptomics, proteomics and metabolomics, and contributes to gaining an understanding of complex biological networks. HIGHLIGHTSMetabolic hormones and metabolic substrates have a major influence on reproduction in female cattle. Negative energy balance and ketosis are associated with changes in the systemic and liver metabolome in dairy cows. The metabolome of ovarian follicular fluid influences oocyte quality and embryo development. Systems biology integrates genomics, transcriptomics, proteomics and metabolomics, and provides a deeper understanding of complex biological networks. ARTICLE HISTORY

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“…A significant difference in the uptake of seven amino acids between males and females was recently shown . The differences in metabolism are significant enough that the metabolites in in vitro media can be used to reliably identify the sex of blastocysts in cattle and humans …”

Section: Sexual Dimorphism During Early Developmentmentioning

confidence: 99%

“…On the contrary, in vitro studies have shown that increased glucose concentrations augment male embryo development to the blastocyst stage . The metabolic differences are so predictable that glucose consumption can effectively be used to predict the sex of offspring as early as day 4 or 5 of pregnancy in humans and cattle . Experimental studies have linked glucose levels around conception with offspring sex ratios …”

Section: Implications For Hypothesized Sex‐biasing Mechanismsmentioning

confidence: 99%

Developmental sexual dimorphism and the evolution of mechanisms for adjustment of sex ratios in mammals

Cameron

Edwards

Parsley

2016

Annals of the New York Academy of Sciences

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Sex allocation theory predicts biased offspring sex ratios in relation to local conditions if they would maximize parental lifetime reproductive return. In mammals, the extent of the birth sex bias is often unpredictable and inconsistent, leading some to question its evolutionary significance. For facultative adjustment of sex ratios to occur, males and females would need to be detectably different from an early developmental stage, but classic sexual dimorphism arises from hormonal influences after gonadal development. Recent advances in our understanding of early, pregonadal sexual dimorphism, however, indicate high levels of dimorphism in gene expression, caused by chromosomal rather than hormonal differences. Here, we discuss how such dimorphism would interact with and link previously hypothesized mechanisms for sex-ratio adjustment. These differences between males and females are sufficient for offspring sex both to be detectable to parents and to provide selectable cues for biasing sex ratios from the earliest stages. We suggest ways in which future research could use the advances in our understanding of sexually dimorphic developmental physiology to test the evolutionary significance of sex allocation in mammals. Such an approach would advance our understanding of sex allocation and could be applied to other taxa.

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Non-invasive assessment of embryonic sex in cattle by metabolic fingerprinting of in vitro culture medium

Cited by 30 publications

References 48 publications

Prediction of pregnancy viability in bovine in vitro-produced embryos and recipient plasma with Fourier transform infrared spectroscopy

Prediction of pregnancy viability in bovine in vitro-produced embryos and recipient plasma with Fourier transform infrared spectroscopy

Metabolic health, the metabolome and reproduction in female cattle: a review

Developmental sexual dimorphism and the evolution of mechanisms for adjustment of sex ratios in mammals

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