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Serum metabolomic profile in genetically modified cows carrying human α-lactalbumin gene

The present study aimed to investigate the serum metabolomic profiles in genetically modified cows carrying and expressing human lactalbumin α (LALBA) and non-LALBA cows, and identify altered metabolic characteristics following the genetic modification. Serum biochemistry indexes were measured accor...

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Autores principales: Wang, Qin, Fu, Wei, Liu, Xiaofei, Wang, Jianwu, Feng, Chunyan, Qiu, Songyin, Li, Xiaolin, Liu, Dandan, Zhu, Shuifang, Lin, Xiangmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779963/
https://www.ncbi.nlm.nih.gov/pubmed/29039583
http://dx.doi.org/10.3892/mmr.2017.7768
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author Wang, Qin
Fu, Wei
Liu, Xiaofei
Wang, Jianwu
Feng, Chunyan
Qiu, Songyin
Li, Xiaolin
Liu, Dandan
Zhu, Shuifang
Lin, Xiangmei
author_facet Wang, Qin
Fu, Wei
Liu, Xiaofei
Wang, Jianwu
Feng, Chunyan
Qiu, Songyin
Li, Xiaolin
Liu, Dandan
Zhu, Shuifang
Lin, Xiangmei
author_sort Wang, Qin
collection PubMed
description The present study aimed to investigate the serum metabolomic profiles in genetically modified cows carrying and expressing human lactalbumin α (LALBA) and non-LALBA cows, and identify altered metabolic characteristics following the genetic modification. Serum biochemistry indexes were measured according to protocols recommended by International Federation of Clinical Chemistry. The metabolomic profiles were determined using the serum samples collected from LALBA (n=6) and non-LALBA cows (n=6). Welch's two-sample t-test was used to identify the metabolites that significantly differed between the LALBA and non-LALBA groups (fold-change ≠ 1 and P<0.05), followed by random forest and pathway analysis. The serum biochemistry indexes of LALBA and non-LALBA cows were within the normal ranges of healthy cows. A total of 273 metabolites were detected, among which 79 metabolites, including 46 increased and 33 decreased metabolites, differed significantly between the LALBA and non-LALBA groups. Random forest analysis identified 30 potential key metabolites, including 14 elevated and 16 reduced metabolites. These metabolites were primarily involved in pathways concerning the metabolism of leucine, isoleucine, valine, tryptophan and lipids, such as myristate and eicosapentaenoate. However, the serum in LALBA cow had unique metabolomic signature compared with non-LALBA cows. The accumulation of polyunsaturated fatty acids and amino acids, and the reduced levels of long chain saturated fatty acids in serum may benefit LALBA cows. However, further investigations are required to validate these benefits and the corresponding mechanisms.
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spelling pubmed-57799632018-02-12 Serum metabolomic profile in genetically modified cows carrying human α-lactalbumin gene Wang, Qin Fu, Wei Liu, Xiaofei Wang, Jianwu Feng, Chunyan Qiu, Songyin Li, Xiaolin Liu, Dandan Zhu, Shuifang Lin, Xiangmei Mol Med Rep Articles The present study aimed to investigate the serum metabolomic profiles in genetically modified cows carrying and expressing human lactalbumin α (LALBA) and non-LALBA cows, and identify altered metabolic characteristics following the genetic modification. Serum biochemistry indexes were measured according to protocols recommended by International Federation of Clinical Chemistry. The metabolomic profiles were determined using the serum samples collected from LALBA (n=6) and non-LALBA cows (n=6). Welch's two-sample t-test was used to identify the metabolites that significantly differed between the LALBA and non-LALBA groups (fold-change ≠ 1 and P<0.05), followed by random forest and pathway analysis. The serum biochemistry indexes of LALBA and non-LALBA cows were within the normal ranges of healthy cows. A total of 273 metabolites were detected, among which 79 metabolites, including 46 increased and 33 decreased metabolites, differed significantly between the LALBA and non-LALBA groups. Random forest analysis identified 30 potential key metabolites, including 14 elevated and 16 reduced metabolites. These metabolites were primarily involved in pathways concerning the metabolism of leucine, isoleucine, valine, tryptophan and lipids, such as myristate and eicosapentaenoate. However, the serum in LALBA cow had unique metabolomic signature compared with non-LALBA cows. The accumulation of polyunsaturated fatty acids and amino acids, and the reduced levels of long chain saturated fatty acids in serum may benefit LALBA cows. However, further investigations are required to validate these benefits and the corresponding mechanisms. D.A. Spandidos 2017-12 2017-10-11 /pmc/articles/PMC5779963/ /pubmed/29039583 http://dx.doi.org/10.3892/mmr.2017.7768 Text en Copyright: © Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wang, Qin
Fu, Wei
Liu, Xiaofei
Wang, Jianwu
Feng, Chunyan
Qiu, Songyin
Li, Xiaolin
Liu, Dandan
Zhu, Shuifang
Lin, Xiangmei
Serum metabolomic profile in genetically modified cows carrying human α-lactalbumin gene
title Serum metabolomic profile in genetically modified cows carrying human α-lactalbumin gene
title_full Serum metabolomic profile in genetically modified cows carrying human α-lactalbumin gene
title_fullStr Serum metabolomic profile in genetically modified cows carrying human α-lactalbumin gene
title_full_unstemmed Serum metabolomic profile in genetically modified cows carrying human α-lactalbumin gene
title_short Serum metabolomic profile in genetically modified cows carrying human α-lactalbumin gene
title_sort serum metabolomic profile in genetically modified cows carrying human α-lactalbumin gene
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779963/
https://www.ncbi.nlm.nih.gov/pubmed/29039583
http://dx.doi.org/10.3892/mmr.2017.7768
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