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Registro Completo |
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
07/06/2021 |
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Data da última atualização: |
16/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VENDRAMINI, T. H. A.; MACEDO, H. T.; ZAFALON, R. V. A.; MACEGOZA, M. V.; PEDRINELLI, V.; RISOLIA, L. W.; OCAMPOS, F. M. M.; JEREMIAS, J. T.; PONTIERI, C. F. F.; FERRIOLLI, E.; COLNAGO, L. A.; BRUNETTO, M. A. |
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Afiliação: |
LUIZ ALBERTO COLNAGO, CNPDIA. |
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Título: |
Serum metabolomics analysis reveals that weight loss in obese dogs results in a similar metabolic profle to dogs in ideal body condition. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Metabolomics, v. 22, n. 4, 2021. |
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Páginas: |
1171-1188 |
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ISSN: |
1573-3882 |
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DOI: |
https://doi.org/10.1007/s11306-020-01753-4 |
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Idioma: |
Inglês |
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Conteúdo: |
Introduction The study of metabolic profle can be an important tool to better understand, at a systemic level, metabolic alterations caused by diferent pathological conditions, such as obesity. Furthermore, it allows the discovery of metabolic biomarkers, which may help to diagnose alterations caused by obesity. Objective To investigate the metabolic profle of blood serum of obese dogs, control dogs, and dogs that were subjected to a weight loss program. Methods Ten obese adult spayed female dogs were included, and their body composition was determined by the deuterium isotope dilution method. The dogs were subjected to a weight loss program and formed a new experimental group after losing 20% of the initial body weight. A third experimental group was composed of ten lean adult spayed female dogs. The metabolic profle of blood serum was evaluated through nuclear magnetic resonance (NMR). Principal Component Analyses (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) models were constructed using Pareto scaling pre-processing. Pathway analysis was also performed using the MetaboAnalist online tool. Results The PCA shows that the control and after weight loss groups presented a trend to negative PC1, indicating similarities between these two groups. In contrast, obese animals presented a tendency to appear on negative PC2 indicating a diferent metabolic profle. The OPLS-DA analysis of the serum indicated that healthy groups presented higher content of glucose, while animals that lost weight had higher levels of cholesterol and lactate than the control group. On the other hand, the analysis showed that lipid content, cholesterol, and branched-chain amino acids were highest in obese animals. Variable Infuence on Projection (VIP) analysis demonstrated that Lactate is the most important metabolite for the OPLS-DA model and Hierarchical Cluster Analysis (HCA) corroborated the similarity between the control group and the obese after weight loss groups. Moreover, the pathway analysis indicated the most important metabolic pathways related to this dataset. Conclusions The metabolomic assessment based on NMR of blood serum difered between obese dogs and animals in optimal body condition. Moreover, the weight loss resulted in metabolic profles similar to those observed in lean animals. MenosIntroduction The study of metabolic profle can be an important tool to better understand, at a systemic level, metabolic alterations caused by diferent pathological conditions, such as obesity. Furthermore, it allows the discovery of metabolic biomarkers, which may help to diagnose alterations caused by obesity. Objective To investigate the metabolic profle of blood serum of obese dogs, control dogs, and dogs that were subjected to a weight loss program. Methods Ten obese adult spayed female dogs were included, and their body composition was determined by the deuterium isotope dilution method. The dogs were subjected to a weight loss program and formed a new experimental group after losing 20% of the initial body weight. A third experimental group was composed of ten lean adult spayed female dogs. The metabolic profle of blood serum was evaluated through nuclear magnetic resonance (NMR). Principal Component Analyses (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) models were constructed using Pareto scaling pre-processing. Pathway analysis was also performed using the MetaboAnalist online tool. Results The PCA shows that the control and after weight loss groups presented a trend to negative PC1, indicating similarities between these two groups. In contrast, obese animals presented a tendency to appear on negative PC2 indicating a diferent metabolic profle. The OPLS-DA analysis of the serum indicated that healthy groups presented higher content of g... Mostrar Tudo |
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Palavras-Chave: |
Diferent pathological; Metabolic biomarkers; Obese dogs. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03331naa a2200325 a 4500
001 2132204
005 2022-08-16
008 2021 bl uuuu u00u1 u #d
022 $a1573-3882
024 7 $ahttps://doi.org/10.1007/s11306-020-01753-4$2DOI
100 1 $aVENDRAMINI, T. H. A.
245 $aSerum metabolomics analysis reveals that weight loss in obese dogs results in a similar metabolic profle to dogs in ideal body condition.$h[electronic resource]
260 $c2021
300 $a1171-1188
520 $aIntroduction The study of metabolic profle can be an important tool to better understand, at a systemic level, metabolic alterations caused by diferent pathological conditions, such as obesity. Furthermore, it allows the discovery of metabolic biomarkers, which may help to diagnose alterations caused by obesity. Objective To investigate the metabolic profle of blood serum of obese dogs, control dogs, and dogs that were subjected to a weight loss program. Methods Ten obese adult spayed female dogs were included, and their body composition was determined by the deuterium isotope dilution method. The dogs were subjected to a weight loss program and formed a new experimental group after losing 20% of the initial body weight. A third experimental group was composed of ten lean adult spayed female dogs. The metabolic profle of blood serum was evaluated through nuclear magnetic resonance (NMR). Principal Component Analyses (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) models were constructed using Pareto scaling pre-processing. Pathway analysis was also performed using the MetaboAnalist online tool. Results The PCA shows that the control and after weight loss groups presented a trend to negative PC1, indicating similarities between these two groups. In contrast, obese animals presented a tendency to appear on negative PC2 indicating a diferent metabolic profle. The OPLS-DA analysis of the serum indicated that healthy groups presented higher content of glucose, while animals that lost weight had higher levels of cholesterol and lactate than the control group. On the other hand, the analysis showed that lipid content, cholesterol, and branched-chain amino acids were highest in obese animals. Variable Infuence on Projection (VIP) analysis demonstrated that Lactate is the most important metabolite for the OPLS-DA model and Hierarchical Cluster Analysis (HCA) corroborated the similarity between the control group and the obese after weight loss groups. Moreover, the pathway analysis indicated the most important metabolic pathways related to this dataset. Conclusions The metabolomic assessment based on NMR of blood serum difered between obese dogs and animals in optimal body condition. Moreover, the weight loss resulted in metabolic profles similar to those observed in lean animals.
653 $aDiferent pathological
653 $aMetabolic biomarkers
653 $aObese dogs
700 1 $aMACEDO, H. T.
700 1 $aZAFALON, R. V. A.
700 1 $aMACEGOZA, M. V.
700 1 $aPEDRINELLI, V.
700 1 $aRISOLIA, L. W.
700 1 $aOCAMPOS, F. M. M.
700 1 $aJEREMIAS, J. T.
700 1 $aPONTIERI, C. F. F.
700 1 $aFERRIOLLI, E.
700 1 $aCOLNAGO, L. A.
700 1 $aBRUNETTO, M. A.
773 $tMetabolomics$gv. 22, n. 4, 2021.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
24/07/2015 |
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Data da última atualização: |
19/07/2017 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
LOPES, M. M.; FELTRIN, R. B.; VASCONCELLOS, B. M. de; ALENCAR, M. de C. F. |
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Afiliação: |
MARIA MARGARETE LOPES, UNICAMP; REBECA GUZZO FELTRIN; BRUNA MENDES DE VASCONCELLOS, UNICAMP; MARIA DE CLEOFAS FAGGION ALENCAR, CNPMA. |
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Título: |
Interseções e interações: gênero em ciências e tecnologias na América Latina. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: KREIMER, P.; VESSURI, H.; VELHO, L.; ARELLANO, A. (Coord.). Perspectivas latinoamericanas en el estudio social de la ciencia, la tecnología y la sociedade. México: Siglo XXI Editores: Foro Consultivo Científico y Tecnológico, 2014. p. 233-243. |
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Idioma: |
Português |
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Palavras-Chave: |
Ciência; Estudos de gênero; Pesquisa científica; Science. |
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Thesagro: |
Tecnologia. |
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Thesaurus NAL: |
gender; technology. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 00869naa a2200229 a 4500
001 2020482
005 2017-07-19
008 2014 bl uuuu u00u1 u #d
100 1 $aLOPES, M. M.
245 $aInterseções e interações$bgênero em ciências e tecnologias na América Latina.$h[electronic resource]
260 $c2014
650 $agender
650 $atechnology
650 $aTecnologia
653 $aCiência
653 $aEstudos de gênero
653 $aPesquisa científica
653 $aScience
700 1 $aFELTRIN, R. B.
700 1 $aVASCONCELLOS, B. M. de
700 1 $aALENCAR, M. de C. F.
773 $tIn: KREIMER, P.; VESSURI, H.; VELHO, L.; ARELLANO, A. (Coord.). Perspectivas latinoamericanas en el estudio social de la ciencia, la tecnología y la sociedade. México: Siglo XXI Editores: Foro Consultivo Científico y Tecnológico, 2014. p. 233-243.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
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Biblioteca(s): |
Catálogo Coletivo de Periódicos Embrapa; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Caprinos e Ovinos; Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Gado de Leite; Embrapa Mandioca e Fruticultura; Embrapa Meio-Norte; Embrapa Pantanal; Embrapa Pecuária Sudeste; Embrapa Semiárido; Embrapa Soja; Embrapa Suínos e Aves; Embrapa Tabuleiros Costeiros. MenosCatálogo Coletivo de Periódicos Embrapa; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Caprinos e Ovinos; Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Gado de Leite; Embrapa Mandioca e Fruticultura; Embrapa Meio-Norte; Embrapa Pantanal... Mostrar Todas |
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Identificador: |
6029 |
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Data corrente: |
09/05/2002 |
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Data da última atualização: |
09/05/2002 |
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Código do título: |
0600622 |
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ISSN: |
0157-7794 |
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Código CCN: |
060606-5 |
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Título e Subtítulo: |
QUEENSLAND JOURNAL OF AGRICULTURAL AND ANIMAL SCIENCES |
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Título anterior: |
QUEENSLAND JOURNAL OF AGRICULTURAL AND ANIMAL SCIENCES |
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Entidade: |
Queensland Department of Primary Industries |
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Local de publicação: |
Brisbane-Australia |
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Periodicidade: |
Semestral |
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Inicio de publicação: |
1965 |
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Coleções da unidade: |
Embrapa Amapá
1980 37 (2); 1981 38(1); 1983 40(2); 1984 41(1-2); 1985 41 (1-2)
Embrapa Amazônia Oriental
1965 22(1-4); 1966 23(1-4); 1967 24(1-4); 1968 25(1-4); 1969 26(1-4); 1970 27(1-4); 1971 28(1-4); 1972 29(1-4); 1973 30(1-4); 1974 31(1-4); 1975 32(1-2); 1976 33(1-2); 1977 34(1-2); 1978 35(1-2); 1979 36(1-2); 1980 37(1-2); 1981 38(1-2); 1982 39(1-2); 1983 40(1-2); 1984 41(1-2); 1985 42(1-2)
Classificação: 630.5Q55
Embrapa Caprinos e Ovinos
1979 36(2); 1980 37(1-2); 1981 38(1-2); 1982 39(1-2); 1983 40(1); 1984 41(1-2)1985 42(1-2).
Embrapa Cerrados
1970-72 27-29; 1973 30(1); 1974 31(4); 1975-85 32-42
Classificação: 636.05
Embrapa Gado de Corte
1967 24(1); 1972 29(1,3); 1973 30(3-4); 1974-76 31-33; 1978-85 35-42;
Classificação: 630.5
Embrapa Gado de Leite
1971/85 28(4); 30; 31(3-4); 32-33; 34(2); 35-42
Classificação: 630.5
Embrapa Mandioca e Fruticultura
1979 36(2); 1980 37(1-2); 198138(1-2); 1982 39(1-2); 1983 40(1-2); 1984 41(1-2); 1985 42(1-2); 1986 43(1-2); 1987 44(1-2); 1988 45(1-2);
Embrapa Meio-Norte
1973 30(3-4); 1974 31(1,3-4); 1975 32(2); 1972 36(2); 1980-85 37-42;
Classificação: 630.5
Embrapa Pantanal
1972 29(3); 1973 30(1,3); 1974 31; 1976 32(2),33(2); 1978-85 35-42
Classificação: 52F
Embrapa Pecuária Sudeste
1973 30(1-4); 1975 32(1-2); 1976 33(1); 1978 35(1); 1980 37(1); 1982 39(1-2); 1983 40(1-2); 1984 41(1-2); 1985 42(1-2)
Classificação: 630.5
Embrapa Semiárido
1971 28(1-4); 1972 29(1-2,4); 1975 32(1); 1978 3(1-2); 1979 36(1-2); 1980 37(1-2); 1981 38(1-2); 1982 39(1-2); 1983 40(1-2); 1984 41(1-2); 1985 42(1-2);
Embrapa Soja
1978-85 35-42; Índice 1983-85 40-42;
Classificação: 630.5
Embrapa Suínos e Aves
1979 36(1-2); 1980 37(1-2); 1981 38(1-2); 1982 39(1-2); 1983 40(2)
Classificação: 630.5
Embrapa Tabuleiros Costeiros
1978-85 35-42 |
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