Cargando…
Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses
In vitro production (IVP) of embryos in cattle can result in large/abnormal offspring syndrome (LOS/AOS) which is characterized by macrosomia. LOS can cause dystocia and lead to the death of dam and calf. Currently, no test exists to identify LOS pregnancies. We hypothesized that fetal ultrasonograp...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217928/ https://www.ncbi.nlm.nih.gov/pubmed/35732675 http://dx.doi.org/10.1038/s41598-022-14597-w |
_version_ | 1784731766982967296 |
---|---|
author | Rivera, Rocío Melissa Goldkamp, Anna Katherine Patel, Bhaumik Narendrabhai Hagen, Darren Erich Soto-Moreno, Edgar Joel Li, Yahan Kim, Chris Nayoon Miller, Cliff Williams, Fred Jannaman, Elizabeth Xiao, Yao Tribulo, Paula Estrada-Cortés, Eliab Brau-Rodríguez, Astrid Roshealy Hansen, Peter James Wu, Zhoulin Spinka, Christine Marie Martin, Neal Elsik, Christine G. |
author_facet | Rivera, Rocío Melissa Goldkamp, Anna Katherine Patel, Bhaumik Narendrabhai Hagen, Darren Erich Soto-Moreno, Edgar Joel Li, Yahan Kim, Chris Nayoon Miller, Cliff Williams, Fred Jannaman, Elizabeth Xiao, Yao Tribulo, Paula Estrada-Cortés, Eliab Brau-Rodríguez, Astrid Roshealy Hansen, Peter James Wu, Zhoulin Spinka, Christine Marie Martin, Neal Elsik, Christine G. |
author_sort | Rivera, Rocío Melissa |
collection | PubMed |
description | In vitro production (IVP) of embryos in cattle can result in large/abnormal offspring syndrome (LOS/AOS) which is characterized by macrosomia. LOS can cause dystocia and lead to the death of dam and calf. Currently, no test exists to identify LOS pregnancies. We hypothesized that fetal ultrasonography and/or maternal blood markers are useful to identify LOS. Bovine fetuses were generated by artificial insemination (control) or IVP. Fetal ultrasonographies were taken on gestation D55 (D55) and fetal collections performed on D56 or D105 (gestation in cattle ≈ D280). IVP fetuses weighing ≥ 97 percentile of the control weight were considered LOS. Ultrasonography results show that the product of six D55 measurements can be used to identify extreme cases of LOS. To determine whether maternal blood can be used to identify LOS, leukocyte mRNA from 23 females was sequenced. Unsupervised hierarchical clustering grouped the transcriptomes of the two females carrying the two largest LOS fetuses. Comparison of the leukocyte transcriptomes of these two females to the transcriptome of all other females identified several misregulated transcripts on gestation D55 and D105 with LOC783838 and PCDH1 being misregulated at both time-points. Together our data suggest that LOS is identifiable during pregnancy in cattle. |
format | Online Article Text |
id | pubmed-9217928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92179282022-06-24 Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses Rivera, Rocío Melissa Goldkamp, Anna Katherine Patel, Bhaumik Narendrabhai Hagen, Darren Erich Soto-Moreno, Edgar Joel Li, Yahan Kim, Chris Nayoon Miller, Cliff Williams, Fred Jannaman, Elizabeth Xiao, Yao Tribulo, Paula Estrada-Cortés, Eliab Brau-Rodríguez, Astrid Roshealy Hansen, Peter James Wu, Zhoulin Spinka, Christine Marie Martin, Neal Elsik, Christine G. Sci Rep Article In vitro production (IVP) of embryos in cattle can result in large/abnormal offspring syndrome (LOS/AOS) which is characterized by macrosomia. LOS can cause dystocia and lead to the death of dam and calf. Currently, no test exists to identify LOS pregnancies. We hypothesized that fetal ultrasonography and/or maternal blood markers are useful to identify LOS. Bovine fetuses were generated by artificial insemination (control) or IVP. Fetal ultrasonographies were taken on gestation D55 (D55) and fetal collections performed on D56 or D105 (gestation in cattle ≈ D280). IVP fetuses weighing ≥ 97 percentile of the control weight were considered LOS. Ultrasonography results show that the product of six D55 measurements can be used to identify extreme cases of LOS. To determine whether maternal blood can be used to identify LOS, leukocyte mRNA from 23 females was sequenced. Unsupervised hierarchical clustering grouped the transcriptomes of the two females carrying the two largest LOS fetuses. Comparison of the leukocyte transcriptomes of these two females to the transcriptome of all other females identified several misregulated transcripts on gestation D55 and D105 with LOC783838 and PCDH1 being misregulated at both time-points. Together our data suggest that LOS is identifiable during pregnancy in cattle. Nature Publishing Group UK 2022-06-22 /pmc/articles/PMC9217928/ /pubmed/35732675 http://dx.doi.org/10.1038/s41598-022-14597-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Rivera, Rocío Melissa Goldkamp, Anna Katherine Patel, Bhaumik Narendrabhai Hagen, Darren Erich Soto-Moreno, Edgar Joel Li, Yahan Kim, Chris Nayoon Miller, Cliff Williams, Fred Jannaman, Elizabeth Xiao, Yao Tribulo, Paula Estrada-Cortés, Eliab Brau-Rodríguez, Astrid Roshealy Hansen, Peter James Wu, Zhoulin Spinka, Christine Marie Martin, Neal Elsik, Christine G. Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses |
title | Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses |
title_full | Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses |
title_fullStr | Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses |
title_full_unstemmed | Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses |
title_short | Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses |
title_sort | identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217928/ https://www.ncbi.nlm.nih.gov/pubmed/35732675 http://dx.doi.org/10.1038/s41598-022-14597-w |
work_keys_str_mv | AT riverarociomelissa identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT goldkampannakatherine identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT patelbhaumiknarendrabhai identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT hagendarrenerich identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT sotomorenoedgarjoel identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT liyahan identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT kimchrisnayoon identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT millercliff identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT williamsfred identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT jannamanelizabeth identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT xiaoyao identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT tribulopaula identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT estradacorteseliab identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT braurodriguezastridroshealy identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT hansenpeterjames identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT wuzhoulin identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT spinkachristinemarie identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT martinneal identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses AT elsikchristineg identificationoflargeoffspringsyndromeduringpregnancythroughultrasonographyandmaternalbloodtranscriptomeanalyses |