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Registro Completo |
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Biblioteca(s): |
Embrapa Rondônia. |
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Data corrente: |
31/08/2021 |
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Data da última atualização: |
31/08/2021 |
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Tipo da produção científica: |
Nota Técnica/Nota Científica |
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Autoria: |
ANDRADE, J. de S.; ZULIAN, J. P.; SINGH, J.; SETÚBAL, S. da S.; SILVA, R. R. da; SCHNEIDER, A.; PFEIFER, L. F. M. |
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Afiliação: |
JÉSSICA DE SOUZA ANDRADE, RedeBionorte, Programa de Pós-graduação em Biodiversidade e Biotecnologia.; JULIANA PAVAN ZULIAN, Fundação Oswaldo Cruz de Rondônia, Laboratório de Imunologia Aplicada à Saúde; JASWANT SINGH, University of Saskatchewan, Veterinary Biomedical Sciences, Saskatoon – SK, Canada; SULAMITA DA SILVA SETÚBAL, Fundação Oswaldo Cruz de Rondônia, Laboratório de Imunologia Aplicada à Saúde; RENATA REIS DA SILVA, CPAF-RO; AUGUSTO SCHNEIDER, Universidade Federal de Pelotas (UFPel); LUIZ FRANCISCO MACHADO PFEIFER, CPAF-RO. |
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Título: |
Prostaglandin E2 induces ovulation in prepubertal mice. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Brazilian Journal of Veterinary Research and Animal Science, v. 58, e82745, 2021. |
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ISSN: |
1678-4456 (Online) |
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DOI: |
https://doi.org/10.11606/issn.1678-4456.bjvras.2021.182745 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to determine the ability of prostaglandin E2 (PGE2) to induce ovulation and expression of PGE2 receptor (EP2 and EP4) and COX genes (COX-1 and COX-2) in the ovary and pituitary of prepubertal mice. Thepositive control consisted of the application of 5 µg of gonadotropin-releasing hormone (GnRH, n = 29); the negativecontrol applied 0.5 mL of phosphate buffered saline (PBS, n=31); the treatment tested the application of 250 µg of PGE2 (n = 29), making a total of 89 prepubertal mice (BALB/c). Mice were euthanized 14 to 15 h after treatments to detectovulation and tissue collection. A Chi-square test was used to compare the proportion of animals ovulating. Geneexpressions and number of ovulation were analyzed by one-way ANOVA and Tukey?s test was used to compare meansamong groups. A greater proportion of mice (P < 0.001) ovulated after receiving GnRH (89.7%, 26/29) compared to PGE2 group (58.6%, 17/29). However, the proportion was higher compared to those treated with PBS (0%, 0/31). Ep2 gene expression in the pituitary was > two-fold higher (P < 0.05) in the PGE2 group compared to the PBS and GnRH groups. Further, PGE2 stimulated Cox1 (2.7 fold, P < 0.05) while GnRH stimulated Cox2 expression (6.5 fold, P < 0.05) in the pituitary when compared to the PBS group. In conclusion, our results support the hypothesis that PGE2 can induce ovulation in prepubertal mice with a concomitant increase in Ep2 and Cox1 gene expression in the pituitary gland. O objetivo deste estudo foi determinar a capacidade da prostaglandina E2 (PGE2) em induzir a ovulação e expressão do receptor PGE2 (EP2 e EP4) e genes COX (COX-1 e COX-2) no ovário e na hipófise de camundongos pré-púberes. O controle positivo consistiu na aplicação de 5 µg de hormônio liberador de gonadotrofina (GnRH, n = 29); o controle negativo aplicação 0,5 mL de tampão fosfato-salino (PBS, n=31); o tratamento testado aplicação de 250 µg de PGE2 (n = 29), perfazendo um total de 89 camundongos (BALB/c) pré-púberes. Os camundongos foram sacrificados 14 a 15 h após os tratamentos para detectar ovulações e coleta de tecido. O teste do qui-quadrado foi usado para comparar a proporção de animais ovulando. As expressões gênicas e o número de ovulação foram analisados por ANOVA e o teste de tukey foi usado para comparar as médias entre os grupos. Uma maior proporção de camundongos (P <0,001) ovulou após receber GnRH (89,7%, 26/29) em comparação com o grupo PGE2 (58,6%, 17/29). No entanto, a proporção foi maior em comparação com aqueles tratados com PBS (0%, 0/31). A expressão do gene Ep2 na hipófise foi duas vezes maior (P <0,05) no grupo PGE2 em comparação com os grupos PBS e GnRH. Além disso, a PGE2 estimulou a Cox1(2,7 vezes, P <0,05) enquanto o GnRH estimulou a expressão de Cox2 (6,5 vezes, P <0,05) na pituitária em comparação com o grupo PBS. Em conclusão, nossos resultados suportam a hipótese de que PGE2 é capaz de induzir ovulação em camundongos pré-púberes com aumento concomitante na expressão dos genes Ep2 e Cox1 na glândula pituitária. MenosThe objective of this study was to determine the ability of prostaglandin E2 (PGE2) to induce ovulation and expression of PGE2 receptor (EP2 and EP4) and COX genes (COX-1 and COX-2) in the ovary and pituitary of prepubertal mice. Thepositive control consisted of the application of 5 µg of gonadotropin-releasing hormone (GnRH, n = 29); the negativecontrol applied 0.5 mL of phosphate buffered saline (PBS, n=31); the treatment tested the application of 250 µg of PGE2 (n = 29), making a total of 89 prepubertal mice (BALB/c). Mice were euthanized 14 to 15 h after treatments to detectovulation and tissue collection. A Chi-square test was used to compare the proportion of animals ovulating. Geneexpressions and number of ovulation were analyzed by one-way ANOVA and Tukey?s test was used to compare meansamong groups. A greater proportion of mice (P < 0.001) ovulated after receiving GnRH (89.7%, 26/29) compared to PGE2 group (58.6%, 17/29). However, the proportion was higher compared to those treated with PBS (0%, 0/31). Ep2 gene expression in the pituitary was > two-fold higher (P < 0.05) in the PGE2 group compared to the PBS and GnRH groups. Further, PGE2 stimulated Cox1 (2.7 fold, P < 0.05) while GnRH stimulated Cox2 expression (6.5 fold, P < 0.05) in the pituitary when compared to the PBS group. In conclusion, our results support the hypothesis that PGE2 can induce ovulation in prepubertal mice with a concomitant increase in Ep2 and Cox1 gene expression in the pituitary gland. O o... Mostrar Tudo |
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Palavras-Chave: |
Camundongos pré-púberes; Inducción de la ovulación; Ovulation induction; Prepubertal mice; Prostagladina E2; Ratones prepúberes; Receptor PGE2. |
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Thesagro: |
Indução; Ovulação. |
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Thesaurus Nal: |
Prostaglandins. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225604/1/cpafro-18593.pdf
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Marc: |
LEADER 04167naa a2200337 a 4500
001 2133952
005 2021-08-31
008 2021 bl uuuu u00u1 u #d
022 $a1678-4456 (Online)
024 7 $ahttps://doi.org/10.11606/issn.1678-4456.bjvras.2021.182745$2DOI
100 1 $aANDRADE, J. de S.
245 $aProstaglandin E2 induces ovulation in prepubertal mice.$h[electronic resource]
260 $c2021
520 $aThe objective of this study was to determine the ability of prostaglandin E2 (PGE2) to induce ovulation and expression of PGE2 receptor (EP2 and EP4) and COX genes (COX-1 and COX-2) in the ovary and pituitary of prepubertal mice. Thepositive control consisted of the application of 5 µg of gonadotropin-releasing hormone (GnRH, n = 29); the negativecontrol applied 0.5 mL of phosphate buffered saline (PBS, n=31); the treatment tested the application of 250 µg of PGE2 (n = 29), making a total of 89 prepubertal mice (BALB/c). Mice were euthanized 14 to 15 h after treatments to detectovulation and tissue collection. A Chi-square test was used to compare the proportion of animals ovulating. Geneexpressions and number of ovulation were analyzed by one-way ANOVA and Tukey?s test was used to compare meansamong groups. A greater proportion of mice (P < 0.001) ovulated after receiving GnRH (89.7%, 26/29) compared to PGE2 group (58.6%, 17/29). However, the proportion was higher compared to those treated with PBS (0%, 0/31). Ep2 gene expression in the pituitary was > two-fold higher (P < 0.05) in the PGE2 group compared to the PBS and GnRH groups. Further, PGE2 stimulated Cox1 (2.7 fold, P < 0.05) while GnRH stimulated Cox2 expression (6.5 fold, P < 0.05) in the pituitary when compared to the PBS group. In conclusion, our results support the hypothesis that PGE2 can induce ovulation in prepubertal mice with a concomitant increase in Ep2 and Cox1 gene expression in the pituitary gland. O objetivo deste estudo foi determinar a capacidade da prostaglandina E2 (PGE2) em induzir a ovulação e expressão do receptor PGE2 (EP2 e EP4) e genes COX (COX-1 e COX-2) no ovário e na hipófise de camundongos pré-púberes. O controle positivo consistiu na aplicação de 5 µg de hormônio liberador de gonadotrofina (GnRH, n = 29); o controle negativo aplicação 0,5 mL de tampão fosfato-salino (PBS, n=31); o tratamento testado aplicação de 250 µg de PGE2 (n = 29), perfazendo um total de 89 camundongos (BALB/c) pré-púberes. Os camundongos foram sacrificados 14 a 15 h após os tratamentos para detectar ovulações e coleta de tecido. O teste do qui-quadrado foi usado para comparar a proporção de animais ovulando. As expressões gênicas e o número de ovulação foram analisados por ANOVA e o teste de tukey foi usado para comparar as médias entre os grupos. Uma maior proporção de camundongos (P <0,001) ovulou após receber GnRH (89,7%, 26/29) em comparação com o grupo PGE2 (58,6%, 17/29). No entanto, a proporção foi maior em comparação com aqueles tratados com PBS (0%, 0/31). A expressão do gene Ep2 na hipófise foi duas vezes maior (P <0,05) no grupo PGE2 em comparação com os grupos PBS e GnRH. Além disso, a PGE2 estimulou a Cox1(2,7 vezes, P <0,05) enquanto o GnRH estimulou a expressão de Cox2 (6,5 vezes, P <0,05) na pituitária em comparação com o grupo PBS. Em conclusão, nossos resultados suportam a hipótese de que PGE2 é capaz de induzir ovulação em camundongos pré-púberes com aumento concomitante na expressão dos genes Ep2 e Cox1 na glândula pituitária.
650 $aProstaglandins
650 $aIndução
650 $aOvulação
653 $aCamundongos pré-púberes
653 $aInducción de la ovulación
653 $aOvulation induction
653 $aPrepubertal mice
653 $aProstagladina E2
653 $aRatones prepúberes
653 $aReceptor PGE2
700 1 $aZULIAN, J. P.
700 1 $aSINGH, J.
700 1 $aSETÚBAL, S. da S.
700 1 $aSILVA, R. R. da
700 1 $aSCHNEIDER, A.
700 1 $aPFEIFER, L. F. M.
773 $tBrazilian Journal of Veterinary Research and Animal Science$gv. 58, e82745, 2021.
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Registro original: |
Embrapa Rondônia (CPAF-RO) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
08/06/2020 |
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Data da última atualização: |
08/06/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MOGOLLÓN, R.; CONTRERAS, C.; SILVA NETA, M. L. da; MARQUES, E. J. N.; ZOFFOLI, J. P.; FREITAS, S. T. de. |
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Afiliação: |
René Mogollón; Carolina Contreras; Magnólia Lourenço da Silva Neta; Emanuel José Nascimento Marques; Juan Pablo Zoffoli; SERGIO TONETTO DE FREITAS, CPATSA. |
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Título: |
Non-destructive prediction and detection of internal physiological disorders in 'Keitt' mango using a hand-held Vis-NIR spectrometer. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Postharvest Biology and Technology, v. 167, sept. 2020. |
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DOI: |
https://doi.org/10.1016/j.postharvbio.2020.111251 |
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Idioma: |
Inglês |
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Notas: |
Article 111251. |
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Conteúdo: |
Mango (Mangifera indica L.) is a major tropical fruit that can develop internal physiological disorders at late ripening stages. These include jelly seed characterized by a transparent and jelly tissue around the seed that eventually becomes a brown ring enclosing the seed, and black flesh characterized by a diffuse brown discoloration that covers the seed. Both disorders can result in high postharvest losses due to the fact that little information is available about mechanisms involved and efficient control approaches. The objective of this study was to establish the feasibility of using a visible and near-infrared (Vis-NIR) portable spectrometer for predicting at harvest and detecting mangoes with internal disorders, such as jelly seed and black flesh after storage. A total of 141 'Keitt' mangoes from two commercial harvests were measured spectrally between 400–1100 nm on two opposite cheeks, at harvest and after 30 d at 12 °C. Spectra data and the incidence of jelly seed and black flesh after storage were used to develop classification models using logistic, linear discriminative analyses (LDA), supporting vector machine, functional data and random forest modeling approaches. The results show that wavelengths between 550 and 650 nm can be used to predict at harvest and detect after storage, fruit with internal physiological disorders, such as jelly seed and black flesh. However, it was not possible to differentiate internal disorders from each other. The spectral data show that healthy fruit have higher reflectance intensity than jelly seed and black flesh ones, both at harvest and after storage. The best classification models were obtained with Logistic and LDA model development approaches. In the validation process for internal disorder prediction at harvest, the Logistic model showed accuracy of 65 %, sensitivity of 78 % and specificity of 49 %, whereas the LDA model showed accuracy of 63 %, sensitivity of 76 % and specificity of 46 %. In the validation process for detecting internal disorders after storage, the Logistic model showed accuracy of 71 %, sensitivity of 75 % and specificity of 67 %, whereas the LDA model showed accuracy of 76 %, sensitivity of 78 % and specificity of 73 %. In conclusion, Vis-NIR technology associated with Logistic and LDA modeling approaches can be used to predict at harvest and detect after storage the incidence of jelly seed and black flesh in mangoes. MenosMango (Mangifera indica L.) is a major tropical fruit that can develop internal physiological disorders at late ripening stages. These include jelly seed characterized by a transparent and jelly tissue around the seed that eventually becomes a brown ring enclosing the seed, and black flesh characterized by a diffuse brown discoloration that covers the seed. Both disorders can result in high postharvest losses due to the fact that little information is available about mechanisms involved and efficient control approaches. The objective of this study was to establish the feasibility of using a visible and near-infrared (Vis-NIR) portable spectrometer for predicting at harvest and detecting mangoes with internal disorders, such as jelly seed and black flesh after storage. A total of 141 'Keitt' mangoes from two commercial harvests were measured spectrally between 400–1100 nm on two opposite cheeks, at harvest and after 30 d at 12 °C. Spectra data and the incidence of jelly seed and black flesh after storage were used to develop classification models using logistic, linear discriminative analyses (LDA), supporting vector machine, functional data and random forest modeling approaches. The results show that wavelengths between 550 and 650 nm can be used to predict at harvest and detect after storage, fruit with internal physiological disorders, such as jelly seed and black flesh. However, it was not possible to differentiate internal disorders from each other. The spectral data sho... Mostrar Tudo |
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Palavras-Chave: |
Carne preta; Espectrômetro portátil; Espectroscopia no infravermelho próximo; Modelos de classificação; Semente de geléia. |
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Thesagro: |
Fisiologia Vegetal; Fruticultura; Geléia; Manga; Mangifera Indica; Pós-Colheita. |
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Thesaurus NAL: |
Mangoes. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 03540naa a2200349 a 4500
001 2123128
005 2020-06-08
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.postharvbio.2020.111251$2DOI
100 1 $aMOGOLLÓN, R.
245 $aNon-destructive prediction and detection of internal physiological disorders in 'Keitt' mango using a hand-held Vis-NIR spectrometer.$h[electronic resource]
260 $c2020
500 $aArticle 111251.
520 $aMango (Mangifera indica L.) is a major tropical fruit that can develop internal physiological disorders at late ripening stages. These include jelly seed characterized by a transparent and jelly tissue around the seed that eventually becomes a brown ring enclosing the seed, and black flesh characterized by a diffuse brown discoloration that covers the seed. Both disorders can result in high postharvest losses due to the fact that little information is available about mechanisms involved and efficient control approaches. The objective of this study was to establish the feasibility of using a visible and near-infrared (Vis-NIR) portable spectrometer for predicting at harvest and detecting mangoes with internal disorders, such as jelly seed and black flesh after storage. A total of 141 'Keitt' mangoes from two commercial harvests were measured spectrally between 400–1100 nm on two opposite cheeks, at harvest and after 30 d at 12 °C. Spectra data and the incidence of jelly seed and black flesh after storage were used to develop classification models using logistic, linear discriminative analyses (LDA), supporting vector machine, functional data and random forest modeling approaches. The results show that wavelengths between 550 and 650 nm can be used to predict at harvest and detect after storage, fruit with internal physiological disorders, such as jelly seed and black flesh. However, it was not possible to differentiate internal disorders from each other. The spectral data show that healthy fruit have higher reflectance intensity than jelly seed and black flesh ones, both at harvest and after storage. The best classification models were obtained with Logistic and LDA model development approaches. In the validation process for internal disorder prediction at harvest, the Logistic model showed accuracy of 65 %, sensitivity of 78 % and specificity of 49 %, whereas the LDA model showed accuracy of 63 %, sensitivity of 76 % and specificity of 46 %. In the validation process for detecting internal disorders after storage, the Logistic model showed accuracy of 71 %, sensitivity of 75 % and specificity of 67 %, whereas the LDA model showed accuracy of 76 %, sensitivity of 78 % and specificity of 73 %. In conclusion, Vis-NIR technology associated with Logistic and LDA modeling approaches can be used to predict at harvest and detect after storage the incidence of jelly seed and black flesh in mangoes.
650 $aMangoes
650 $aFisiologia Vegetal
650 $aFruticultura
650 $aGeléia
650 $aManga
650 $aMangifera Indica
650 $aPós-Colheita
653 $aCarne preta
653 $aEspectrômetro portátil
653 $aEspectroscopia no infravermelho próximo
653 $aModelos de classificação
653 $aSemente de geléia
700 1 $aCONTRERAS, C.
700 1 $aSILVA NETA, M. L. da
700 1 $aMARQUES, E. J. N.
700 1 $aZOFFOLI, J. P.
700 1 $aFREITAS, S. T. de
773 $tPostharvest Biology and Technology$gv. 167, sept. 2020.
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