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An in silico model using prognostic genetic factors for ovarian response in controlled ovarian stimulation: A systematic review.
Eisele, B S; Silva, G C Villalba; Bessow, C; Donato, R; Genro, V K; Cunha-Filho, J S.
Afiliação
  • Eisele BS; Obstetrics/Gynecology Post-Graduate Program, Medical School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcellos, 2350-11 andar, Porto Alegre, Rio Grande do Sul, CEP 91003-001, Brazil.
  • Silva GCV; Graduate Program in Genetics and Molecular Biology, Gene Therapy Center and Bioinformatics Core, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
  • Bessow C; Obstetrics/Gynecology Post-Graduate Program, Medical School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcellos, 2350-11 andar, Porto Alegre, Rio Grande do Sul, CEP 91003-001, Brazil.
  • Donato R; Obstetrics/Gynecology Post-Graduate Program, Medical School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcellos, 2350-11 andar, Porto Alegre, Rio Grande do Sul, CEP 91003-001, Brazil.
  • Genro VK; Hospital de Clínicas de Porto Alegre, Ob/Gyn Service, Porto Alegre, Rio Grande do Sul, Brazil.
  • Cunha-Filho JS; Obstetrics/Gynecology Post-Graduate Program, Medical School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcellos, 2350-11 andar, Porto Alegre, Rio Grande do Sul, CEP 91003-001, Brazil. jfilho@hcpa.edu.br.
J Assist Reprod Genet ; 38(8): 2007-2020, 2021 Aug.
Article em En | MEDLINE | ID: mdl-33788133
PURPOSE: To study the use of in silica model to better understand and propose new markers of ovarian response to controlled ovarian stimulation before IVF. METHODS: A systematic review and in silica model using bioinformatics. After the selection of 103 papers from a systematic review process, we performed a GRADE qualification of all included papers for evidence-based quality evaluation. We included 57 genes in the silica model using a functional protein network interaction. Moreover, the construction of protein-protein interaction network was done importing these results to Cytoscape. Therefore, a cluster analysis using MCODE was done, which was exported to a plugin BINGO to determine Gene Ontology. A p value of < 0.05 was considered significant, using a Bonferroni correction test. RESULTS: In silica model was robust, presenting an ovulation-related gene network with 87 nodes (genes) and 348 edges (interactions between the genes). Related to the network centralities, the network has a betweenness mean value = 102.54; closeness mean = 0.007; and degree mean = 8.0. Moreover, the gene with a higher betweenness was PTPN1. Genes with the higher closeness were SRD5A1 and HSD17B3, and the gene with the lowest closeness was GDF9. Finally, the gene with a higher degree value was UBB; this gene participates in the regulation of TP53 activity pathway. CONCLUSIONS: This systematic review demonstrated that we cannot use any genetic marker before controlled ovarian stimulation for IVF. Moreover, in silica model is a useful tool for understanding and finding new markers for an IVF individualization. PROSPERO: CRD42020197185.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ovário / Indução da Ovulação / Fertilização in vitro / Mapas de Interação de Proteínas Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Female / Humans Idioma: En Revista: J Assist Reprod Genet Assunto da revista: GENETICA / MEDICINA REPRODUTIVA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ovário / Indução da Ovulação / Fertilização in vitro / Mapas de Interação de Proteínas Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Female / Humans Idioma: En Revista: J Assist Reprod Genet Assunto da revista: GENETICA / MEDICINA REPRODUTIVA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda