Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid

Background: Multivariate factor analysis (MFA) could be used for analyzing the complex pattern of correlations among fatty acids (FAs) in the rumen. Objective: To investigate the potential use of MFA to extract information on unbranched FAs metabolism in bovine rumen fluid. Methods: A dataset contai...

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Autor principal:	Julián A. C. Vargas
Formato:	article
Lenguaje:	EN
Publicado:	Universidad de Antioquia 2019
Materias:	cattle lipid profile lipid metabolism multivariate statistics multivariate factor analysis ruminant ruminal fluid unbranched fatty acids Animal culture SF1-1100
Acceso en línea:	https://doaj.org/article/62cad4ae565b40f4985eb464a43635c8
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spelling	oai:doaj.org-article:62cad4ae565b40f4985eb464a43635c82021-12-01T18:49:31ZUsing multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid2256-295810.17533/udea.rccp.v32n3a02https://doaj.org/article/62cad4ae565b40f4985eb464a43635c82019-07-01T00:00:00Zhttps://revistas.udea.edu.co/index.php/rccp/article/view/336764https://doaj.org/toc/2256-2958Background: Multivariate factor analysis (MFA) could be used for analyzing the complex pattern of correlations among fatty acids (FAs) in the rumen. Objective: To investigate the potential use of MFA to extract information on unbranched FAs metabolism in bovine rumen fluid. Methods: A dataset containing 107 individual records of 26 unbranched FAs from two in vitro ruminal incubation studies was constructed. The MFA was performed using the SPSS (Statistical Package for the Social Sciences) software. Results: The MFA extracted four latent factors, accounting for 86.7% of the total variance. The first factor was positively associated with short (6:0), medium (8:0, 10:0, 12:0, 14:0, and 16:0), and long (17:0, 20:0, and 23:0) saturated FAs (SFAs), as well as with cis and trans monounsaturated FAs (MUFAs) from 14 to 16 carbon atoms (14:1-t5, 14:1-c9, 15:1-t10, 16:1-c9, and 16:1-t9). The second factor was positively correlated with 18:0 and the majority of cis and trans MUFAs of 18 carbon atoms (18:1-t9, 18:1-t11, 18:1-c6, 18:1-c9, and 18:1-c11). The third factor was positively related to 18:3-c9,c12,c15 and 18:2-t11,c15, and negatively to 18:2-c9,t11. The fourth factor was positively correlated with 18:1-t6 and 19:0; however, 19:0 was also negatively associated with the second factor. The 18:2-c9,c12 was negatively correlated with the second and third factors. Conclusion: Multivariate factor analysis (MFA) allowed the reduction of a large number of fatty acids in bovine ruminal fluid to a few latent factors with biological meaning.Julián A. C. VargasUniversidad de Antioquiaarticlecattlelipid profilelipid metabolismmultivariate statisticsmultivariate factor analysisruminantruminal fluidunbranched fatty acidsAnimal cultureSF1-1100ENRevista Colombiana de Ciencias Pecuarias, Vol 32, Iss 3, Pp 175-183 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	cattle lipid profile lipid metabolism multivariate statistics multivariate factor analysis ruminant ruminal fluid unbranched fatty acids Animal culture SF1-1100
spellingShingle	cattle lipid profile lipid metabolism multivariate statistics multivariate factor analysis ruminant ruminal fluid unbranched fatty acids Animal culture SF1-1100 Julián A. C. Vargas Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid
description	Background: Multivariate factor analysis (MFA) could be used for analyzing the complex pattern of correlations among fatty acids (FAs) in the rumen. Objective: To investigate the potential use of MFA to extract information on unbranched FAs metabolism in bovine rumen fluid. Methods: A dataset containing 107 individual records of 26 unbranched FAs from two in vitro ruminal incubation studies was constructed. The MFA was performed using the SPSS (Statistical Package for the Social Sciences) software. Results: The MFA extracted four latent factors, accounting for 86.7% of the total variance. The first factor was positively associated with short (6:0), medium (8:0, 10:0, 12:0, 14:0, and 16:0), and long (17:0, 20:0, and 23:0) saturated FAs (SFAs), as well as with cis and trans monounsaturated FAs (MUFAs) from 14 to 16 carbon atoms (14:1-t5, 14:1-c9, 15:1-t10, 16:1-c9, and 16:1-t9). The second factor was positively correlated with 18:0 and the majority of cis and trans MUFAs of 18 carbon atoms (18:1-t9, 18:1-t11, 18:1-c6, 18:1-c9, and 18:1-c11). The third factor was positively related to 18:3-c9,c12,c15 and 18:2-t11,c15, and negatively to 18:2-c9,t11. The fourth factor was positively correlated with 18:1-t6 and 19:0; however, 19:0 was also negatively associated with the second factor. The 18:2-c9,c12 was negatively correlated with the second and third factors. Conclusion: Multivariate factor analysis (MFA) allowed the reduction of a large number of fatty acids in bovine ruminal fluid to a few latent factors with biological meaning.
format	article
author	Julián A. C. Vargas
author_facet	Julián A. C. Vargas
author_sort	Julián A. C. Vargas
title	Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid
title_short	Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid
title_full	Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid
title_fullStr	Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid
title_full_unstemmed	Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid
title_sort	using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid
publisher	Universidad de Antioquia
publishDate	2019
url	https://doaj.org/article/62cad4ae565b40f4985eb464a43635c8
work_keys_str_mv	AT julianacvargas usingmultivariatefactoranalysistocharacterizetheunbranchedfattyacidprofileinbovinerumenfluid
_version_	1718404694589571072

Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid

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