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Dietary Lecithin Decreases Skeletal Muscle COL1A1 and COL3A1 Gene Expression in Finisher Gilts

Overview of attention for article published in Animals, June 2016
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Title
Dietary Lecithin Decreases Skeletal Muscle COL1A1 and COL3A1 Gene Expression in Finisher Gilts
Published in
Animals, June 2016
DOI 10.3390/ani6060038
Pubmed ID
Authors

Henny Akit, Cherie Collins, Fahri Fahri, Alex Hung, Daryl D’Souza, Brian Leury, Frank Dunshea

Abstract

The purpose of this study was to investigate the effect of dietary lecithin on skeletal muscle gene expression of collagen precursors and enzymes involved in collagen synthesis and degradation. Finisher gilts with an average start weight of 55.9 ± 2.22 kg were fed diets containing either 0, 4, 20 or 80 g/kg soybean lecithin prior to harvest for six weeks and the rectus abdominis muscle gene expression profile was analyzed by quantitative real-time PCR. Lecithin treatment down-regulated Type I (α1) procollagen (COL1A1) and Type III (α1) procollagen (COL3A1) mRNA expression ( p < 0.05, respectively), indicating a decrease in the precursors for collagen synthesis. The α-subunit of prolyl 4-hydroxylase (P4H) mRNA expression also tended to be down-regulated ( p = 0.056), indicating a decrease in collagen synthesis. Decreased matrix metalloproteinase-1 (MMP-1) mRNA expression may reflect a positive regulatory response to the reduced collagen synthesis in muscle from the pigs fed lecithin ( p = 0.035). Lecithin had no effect on tissue inhibitor metalloproteinase-1 (TIMP-1), matrix metalloproteinase-13 (MMP-13) and lysyl oxidase mRNA expression. In conclusion, lecithin down-regulated COL1A1 and COL3A1 as well as tended to down-regulate α-subunit P4H expression. However, determination of muscle collagen content and solubility are required to support the gene functions.

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Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Professor 1 9%
Other 1 9%
Student > Bachelor 1 9%
Lecturer > Senior Lecturer 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 27%
Pharmacology, Toxicology and Pharmaceutical Science 2 18%
Biochemistry, Genetics and Molecular Biology 2 18%
Materials Science 1 9%
Unknown 3 27%