Investigating gene methylation signatures for fetal intolerance prediction

Pregnancy is a complicated and long procedure during one or more offspring development inside a woman. A short period of oxygen shortage after birth is quite normal for most babies and does not threaten their health. However, if babies have to suffer from a long period of oxygen shortage, then this...

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Autores:
Zhang, Yu-Hang
Li, Zhandong
Zeng, Tao
Chen, Lei
Li, Hao
Gamarra, Margarita
MansourI, Romany F.
Escorcia-Gutierrez, Jose
Huang, Tao
Cai, Yu-Dong
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8267
Acceso en línea:
https://hdl.handle.net/11323/8267
https://doi.org/10.1371/journal.pone.0250032
https://repositorio.cuc.edu.co/
Palabra clave:
Methylation
Gene expression
Pregnancy
Biomarkers
Blood
Oxygen
Biopsy
Support vector machines
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openAccess
License
CC0 1.0 Universal
id RCUC2_bc4968045e2cf1f6a52dc0bc46eb210e
oai_identifier_str oai:repositorio.cuc.edu.co:11323/8267
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repository_id_str
dc.title.eng.fl_str_mv Investigating gene methylation signatures for fetal intolerance prediction
title Investigating gene methylation signatures for fetal intolerance prediction
spellingShingle Investigating gene methylation signatures for fetal intolerance prediction
Methylation
Gene expression
Pregnancy
Biomarkers
Blood
Oxygen
Biopsy
Support vector machines
title_short Investigating gene methylation signatures for fetal intolerance prediction
title_full Investigating gene methylation signatures for fetal intolerance prediction
title_fullStr Investigating gene methylation signatures for fetal intolerance prediction
title_full_unstemmed Investigating gene methylation signatures for fetal intolerance prediction
title_sort Investigating gene methylation signatures for fetal intolerance prediction
dc.creator.fl_str_mv Zhang, Yu-Hang
Li, Zhandong
Zeng, Tao
Chen, Lei
Li, Hao
Gamarra, Margarita
MansourI, Romany F.
Escorcia-Gutierrez, Jose
Huang, Tao
Cai, Yu-Dong
dc.contributor.author.spa.fl_str_mv Zhang, Yu-Hang
Li, Zhandong
Zeng, Tao
Chen, Lei
Li, Hao
Gamarra, Margarita
MansourI, Romany F.
Escorcia-Gutierrez, Jose
Huang, Tao
Cai, Yu-Dong
dc.subject.eng.fl_str_mv Methylation
Gene expression
Pregnancy
Biomarkers
Blood
Oxygen
Biopsy
Support vector machines
topic Methylation
Gene expression
Pregnancy
Biomarkers
Blood
Oxygen
Biopsy
Support vector machines
description Pregnancy is a complicated and long procedure during one or more offspring development inside a woman. A short period of oxygen shortage after birth is quite normal for most babies and does not threaten their health. However, if babies have to suffer from a long period of oxygen shortage, then this condition is an indication of pathological fetal intolerance, which probably causes their death. The identification of the pathological fetal intolerance from the physical oxygen shortage is one of the important clinical problems in obstetrics for a long time. The clinical syndromes typically manifest five symptoms that indicate that the baby may suffer from fetal intolerance. At present, liquid biopsy combined with high-throughput sequencing or mass spectrum techniques provides a quick approach to detect real-time alteration in the peripheral blood at multiple levels with the rapid development of molecule sequencing technologies. Gene methylation is functionally correlated with gene expression; thus, the combination of gene methylation and expression information would help in screening out the key regulators for the pathogenesis of fetal intolerance. We combined gene methylation and expression features together and screened out the optimal features, including gene expression or methylation signatures, for fetal intolerance prediction for the first time. In addition, we applied various computational methods to construct a comprehensive computational pipeline to identify the potential biomarkers for fetal intolerance dependent on the liquid biopsy samples. We set up qualitative and quantitative computational models for the prediction for fetal intolerance during pregnancy. Moreover, we provided a new prospective for the detailed pathological mechanism of fetal intolerance. This work can provide a solid foundation for further experimental research and contribute to the application of liquid biopsy in antenatal care.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-05-20T18:12:42Z
dc.date.available.none.fl_str_mv 2021-05-20T18:12:42Z
dc.date.issued.none.fl_str_mv 2021-04-22
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1371/journal.pone.0250032
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
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identifier_str_mv 1932-6203
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/8267
https://doi.org/10.1371/journal.pone.0250032
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dc.language.iso.none.fl_str_mv eng
language eng
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4. Linne Y (2004) Effects of obesity on women’s reproduction and complications during pregnancy. Obesity reviews 5: 137–143. https://doi.org/10.1111/j.1467-789X.2004.00147.x PMID: 15245382
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spelling Zhang, Yu-HangLi, ZhandongZeng, TaoChen, LeiLi, HaoGamarra, MargaritaMansourI, Romany F.Escorcia-Gutierrez, JoseHuang, TaoCai, Yu-Dong2021-05-20T18:12:42Z2021-05-20T18:12:42Z2021-04-221932-6203https://hdl.handle.net/11323/8267https://doi.org/10.1371/journal.pone.0250032Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Pregnancy is a complicated and long procedure during one or more offspring development inside a woman. A short period of oxygen shortage after birth is quite normal for most babies and does not threaten their health. However, if babies have to suffer from a long period of oxygen shortage, then this condition is an indication of pathological fetal intolerance, which probably causes their death. The identification of the pathological fetal intolerance from the physical oxygen shortage is one of the important clinical problems in obstetrics for a long time. The clinical syndromes typically manifest five symptoms that indicate that the baby may suffer from fetal intolerance. At present, liquid biopsy combined with high-throughput sequencing or mass spectrum techniques provides a quick approach to detect real-time alteration in the peripheral blood at multiple levels with the rapid development of molecule sequencing technologies. Gene methylation is functionally correlated with gene expression; thus, the combination of gene methylation and expression information would help in screening out the key regulators for the pathogenesis of fetal intolerance. We combined gene methylation and expression features together and screened out the optimal features, including gene expression or methylation signatures, for fetal intolerance prediction for the first time. In addition, we applied various computational methods to construct a comprehensive computational pipeline to identify the potential biomarkers for fetal intolerance dependent on the liquid biopsy samples. We set up qualitative and quantitative computational models for the prediction for fetal intolerance during pregnancy. Moreover, we provided a new prospective for the detailed pathological mechanism of fetal intolerance. This work can provide a solid foundation for further experimental research and contribute to the application of liquid biopsy in antenatal care.Zhang, Yu-Hang-will be generated-orcid-0000-0003-3825-0796-600Li, ZhandongZeng, TaoChen, LeiLi, HaoGamarra, Margarita-will be generated-orcid-0000-0003-1834-2984-600MansourI, Romany F.Escorcia-Gutierrez, Jose-will be generated-orcid-0000-0003-0518-3187-600Huang, Tao-will be generated-orcid-0000-0003-1975-9693-600Cai, Yu-Dongapplication/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2PLoS ONEhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0250032#:~:text=In%202018%2C%20an%20independent%20study,functionally%20correlated%20with%20gene%20expression.MethylationGene expressionPregnancyBiomarkersBloodOxygenBiopsySupport vector machinesInvestigating gene methylation signatures for fetal intolerance predictionArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Bondas T, Eriksson K (2001) Women’s lived experiences of pregnancy: A tapestry of joy and suffering. Qualitative Health Research 11: 824–840. https://doi.org/10.1177/104973201129119415 PMID: 117100802. Macklin R (2010) Enrolling pregnant women in biomedical research. The Lancet 375: 632–633. https:// doi.org/10.1016/s0140-6736(10)60257-7 PMID: 201987253. Yap S-C, Drenthen W, Pieper PG, Moons P, Mulder BJ, et al. (2008) Risk of complications during pregnancy in women with congenital aortic stenosis. International journal of cardiology 126: 240–246. https://doi.org/10.1016/j.ijcard.2007.03.134 PMID: 174822934. Linne Y (2004) Effects of obesity on women’s reproduction and complications during pregnancy. Obesity reviews 5: 137–143. https://doi.org/10.1111/j.1467-789X.2004.00147.x PMID: 152453825. Dietl J (2005) Maternal obesity and complications during pregnancy. Journal of perinatal medicine 33: 100–105. https://doi.org/10.1515/JPM.2005.018 PMID: 158432566. 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Clinical Epigenetics 11: 180. https://doi.org/10.1186/s13148-019-0756-4 PMID: 31801612PublicationORIGINALInvestigating gene methylation signatures for fetal intolerance prediction.pdfInvestigating gene methylation signatures for fetal intolerance prediction.pdfapplication/pdf749172https://repositorio.cuc.edu.co/bitstreams/6a84158b-6922-4a2c-a848-1544065d6593/downloadefa74af2899903913a45527c18e1144eMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/1bec25c2-31dc-454b-bd1b-59e116cbeb76/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/1ee3fdfd-4bda-46d0-a8ef-facec52975c1/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILInvestigating gene methylation signatures for fetal intolerance prediction.pdf.jpgInvestigating gene methylation signatures for fetal intolerance 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