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Identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction

BACKGROUND: Intrauterine growth restriction (IUGR) is defined as a fetus that fails to achieve its genetically determined growth potential. The exact molecular mechanisms of placental insufficiency IUGR pathogenesis are a little known. Our goal was to identify key genes and gene co-expression module...

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Autores principales: Zhang, Chunhua, Ding, Jiao, Li, Hong, Wang, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796578/
https://www.ncbi.nlm.nih.gov/pubmed/35090410
http://dx.doi.org/10.1186/s12884-022-04399-3
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author Zhang, Chunhua
Ding, Jiao
Li, Hong
Wang, Ting
author_facet Zhang, Chunhua
Ding, Jiao
Li, Hong
Wang, Ting
author_sort Zhang, Chunhua
collection PubMed
description BACKGROUND: Intrauterine growth restriction (IUGR) is defined as a fetus that fails to achieve its genetically determined growth potential. The exact molecular mechanisms of placental insufficiency IUGR pathogenesis are a little known. Our goal was to identify key genes and gene co-expression modules related to placental insufficiency IUGR. METHODS: We used weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis to examine the IUGR dataset GSE114691 from NCBI Gene Expression Omnibus. Core modules and hub nodes of the protein-protein interaction network were identified. A gene network was constructed and genes were classified by WGCNA into different modules. The validation of potential key genes was carried out using additional datasets (GSE12216 and GSE24129). RESULTS: We identified in GSE114691 539 down regulated genes and 751 up regulated genes in placental tissues characteristic of placental insufficiency IUGR compared with non-IUGR, and defined 76 genes as hub nodes in the protein-protein interaction network. Genes in the key modules of the WGCNA network were most closely associated with placental insufficiency IUGR and significantly enriched in biological process such as cellular metabolic process and macromolecule metabolic process. We identified as key genes TGFB1, LEP, ENG, ITGA5, STAT5A, LYN, GATA3, FPR1, TGFB2, CEBPB, KLF4, FLT1, and PNPLA2. The RNA expression levels of ENG and LEP, as biomarkers, were validated. CONCLUSION: A holistic gene expression profile of placental insufficiency IUGR has been generated and the key genes ENG and LEP has potential to serve as circulating diagnosis biomarkers and therapeutic targets for placental insufficiency IUGR. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04399-3.
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spelling pubmed-87965782022-02-03 Identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction Zhang, Chunhua Ding, Jiao Li, Hong Wang, Ting BMC Pregnancy Childbirth Research BACKGROUND: Intrauterine growth restriction (IUGR) is defined as a fetus that fails to achieve its genetically determined growth potential. The exact molecular mechanisms of placental insufficiency IUGR pathogenesis are a little known. Our goal was to identify key genes and gene co-expression modules related to placental insufficiency IUGR. METHODS: We used weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis to examine the IUGR dataset GSE114691 from NCBI Gene Expression Omnibus. Core modules and hub nodes of the protein-protein interaction network were identified. A gene network was constructed and genes were classified by WGCNA into different modules. The validation of potential key genes was carried out using additional datasets (GSE12216 and GSE24129). RESULTS: We identified in GSE114691 539 down regulated genes and 751 up regulated genes in placental tissues characteristic of placental insufficiency IUGR compared with non-IUGR, and defined 76 genes as hub nodes in the protein-protein interaction network. Genes in the key modules of the WGCNA network were most closely associated with placental insufficiency IUGR and significantly enriched in biological process such as cellular metabolic process and macromolecule metabolic process. We identified as key genes TGFB1, LEP, ENG, ITGA5, STAT5A, LYN, GATA3, FPR1, TGFB2, CEBPB, KLF4, FLT1, and PNPLA2. The RNA expression levels of ENG and LEP, as biomarkers, were validated. CONCLUSION: A holistic gene expression profile of placental insufficiency IUGR has been generated and the key genes ENG and LEP has potential to serve as circulating diagnosis biomarkers and therapeutic targets for placental insufficiency IUGR. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04399-3. BioMed Central 2022-01-28 /pmc/articles/PMC8796578/ /pubmed/35090410 http://dx.doi.org/10.1186/s12884-022-04399-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Chunhua
Ding, Jiao
Li, Hong
Wang, Ting
Identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction
title Identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction
title_full Identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction
title_fullStr Identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction
title_full_unstemmed Identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction
title_short Identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction
title_sort identification of key genes in pathogenesis of placental insufficiency intrauterine growth restriction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796578/
https://www.ncbi.nlm.nih.gov/pubmed/35090410
http://dx.doi.org/10.1186/s12884-022-04399-3
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