Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses

Autores
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.
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Rivera, Rocío Melissa. University of Missouri; Estados Unidos
Fil: Goldkamp, Anna Katherine. Oklahoma State University; Estados Unidos
Fil: Patel, Bhaumik Narendrabhai. University of Missouri; Estados Unidos
Fil: Hagen, Darren Erich. Oklahoma State University; Estados Unidos
Fil: Soto Moreno, Edgar Joel. University of Missouri; Estados Unidos
Fil: Li, Yahan. University of Missouri; Estados Unidos
Fil: Kim, Chris Nayoon. University of Missouri; Estados Unidos
Fil: Miller, Cliff. Green Hills Veterinary Clinic; Estados Unidos
Fil: Williams, Fred. University of Missouri; Estados Unidos
Fil: Jannaman, Elizabeth. University of Florida; Estados Unidos
Fil: Xiao, Yao. University of Florida; Estados Unidos
Fil: Tribulo, Paula. University of Florida; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Reproducción Animal; Argentina
Fil: Estrada-Cortés, Eliab. University of Florida; Estados Unidos. Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias; México
Fil: Brau Rodríguez, Astrid Roshealy. University of Missouri; Estados Unidos
Fil: Hansen, Peter James. University of Florida; Estados Unidos
Fil: Wu, Zhoulin. Chengdu University; China. University of Missouri; Estados Unidos
Fil: Spinka, Christine Marie. University of Missouri; Estados Unidos
Fil: Martin, Neal. Martin Veterinary Services; Estados Unidos
Fil: Elsik, Christine G.. University of Missouri; Estados Unidos
Materia
Large offspring
Maternal fetal communication
Transcriptome
Fetal development
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/218251
Acceder
id CONICETDig_5bce8c28aea01a6ff46d84e836888c7a
oai_identifier_str oai:ri.conicet.gov.ar:11336/218251
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analysesRivera, Rocío MelissaGoldkamp, Anna KatherinePatel, Bhaumik NarendrabhaiHagen, Darren ErichSoto Moreno, Edgar JoelLi, YahanKim, Chris NayoonMiller, CliffWilliams, FredJannaman, ElizabethXiao, YaoTribulo, PaulaEstrada-Cortés, EliabBrau Rodríguez, Astrid RoshealyHansen, Peter JamesWu, ZhoulinSpinka, Christine MarieMartin, NealElsik, Christine G.Large offspringMaternal fetal communicationTranscriptomeFetal developmenthttps://purl.org/becyt/ford/4.2https://purl.org/becyt/ford/4In 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.Fil: Rivera, Rocío Melissa. University of Missouri; Estados UnidosFil: Goldkamp, Anna Katherine. Oklahoma State University; Estados UnidosFil: Patel, Bhaumik Narendrabhai. University of Missouri; Estados UnidosFil: Hagen, Darren Erich. Oklahoma State University; Estados UnidosFil: Soto Moreno, Edgar Joel. University of Missouri; Estados UnidosFil: Li, Yahan. University of Missouri; Estados UnidosFil: Kim, Chris Nayoon. University of Missouri; Estados UnidosFil: Miller, Cliff. Green Hills Veterinary Clinic; Estados UnidosFil: Williams, Fred. University of Missouri; Estados UnidosFil: Jannaman, Elizabeth. University of Florida; Estados UnidosFil: Xiao, Yao. University of Florida; Estados UnidosFil: Tribulo, Paula. University of Florida; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Reproducción Animal; ArgentinaFil: Estrada-Cortés, Eliab. University of Florida; Estados Unidos. Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias; MéxicoFil: Brau Rodríguez, Astrid Roshealy. University of Missouri; Estados UnidosFil: Hansen, Peter James. University of Florida; Estados UnidosFil: Wu, Zhoulin. Chengdu University; China. University of Missouri; Estados UnidosFil: Spinka, Christine Marie. University of Missouri; Estados UnidosFil: Martin, Neal. Martin Veterinary Services; Estados UnidosFil: Elsik, Christine G.. University of Missouri; Estados UnidosNature2022-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/218251Rivera, Rocío Melissa; Goldkamp, Anna Katherine; Patel, Bhaumik Narendrabhai; Hagen, Darren Erich; Soto Moreno, Edgar Joel; et al.; Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses; Nature; Scientific Reports; 12; 1; 12-2022; 1-162045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-022-14597-winfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-022-14597-winfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:05:12Zoai:ri.conicet.gov.ar:11336/218251instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:05:12.703CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv 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
spellingShingle Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses
Rivera, Rocío Melissa
Large offspring
Maternal fetal communication
Transcriptome
Fetal development
title_short 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_sort Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses
dc.creator.none.fl_str_mv 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 Rivera, Rocío Melissa
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_role author
author2 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.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Large offspring
Maternal fetal communication
Transcriptome
Fetal development
topic Large offspring
Maternal fetal communication
Transcriptome
Fetal development
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.2
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv 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.
Fil: Rivera, Rocío Melissa. University of Missouri; Estados Unidos
Fil: Goldkamp, Anna Katherine. Oklahoma State University; Estados Unidos
Fil: Patel, Bhaumik Narendrabhai. University of Missouri; Estados Unidos
Fil: Hagen, Darren Erich. Oklahoma State University; Estados Unidos
Fil: Soto Moreno, Edgar Joel. University of Missouri; Estados Unidos
Fil: Li, Yahan. University of Missouri; Estados Unidos
Fil: Kim, Chris Nayoon. University of Missouri; Estados Unidos
Fil: Miller, Cliff. Green Hills Veterinary Clinic; Estados Unidos
Fil: Williams, Fred. University of Missouri; Estados Unidos
Fil: Jannaman, Elizabeth. University of Florida; Estados Unidos
Fil: Xiao, Yao. University of Florida; Estados Unidos
Fil: Tribulo, Paula. University of Florida; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Reproducción Animal; Argentina
Fil: Estrada-Cortés, Eliab. University of Florida; Estados Unidos. Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias; México
Fil: Brau Rodríguez, Astrid Roshealy. University of Missouri; Estados Unidos
Fil: Hansen, Peter James. University of Florida; Estados Unidos
Fil: Wu, Zhoulin. Chengdu University; China. University of Missouri; Estados Unidos
Fil: Spinka, Christine Marie. University of Missouri; Estados Unidos
Fil: Martin, Neal. Martin Veterinary Services; Estados Unidos
Fil: Elsik, Christine G.. University of Missouri; Estados Unidos
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.
publishDate 2022
dc.date.none.fl_str_mv 2022-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/218251
Rivera, Rocío Melissa; Goldkamp, Anna Katherine; Patel, Bhaumik Narendrabhai; Hagen, Darren Erich; Soto Moreno, Edgar Joel; et al.; Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses; Nature; Scientific Reports; 12; 1; 12-2022; 1-16
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/218251
identifier_str_mv Rivera, Rocío Melissa; Goldkamp, Anna Katherine; Patel, Bhaumik Narendrabhai; Hagen, Darren Erich; Soto Moreno, Edgar Joel; et al.; Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses; Nature; Scientific Reports; 12; 1; 12-2022; 1-16
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-022-14597-w
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-022-14597-w
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature
publisher.none.fl_str_mv Nature
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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