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Lactation-Related MicroRNA Expression Profiles of Porcine Breast Milk Exosomes

Overview of attention for article published in PLOS ONE, August 2012
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Title
Lactation-Related MicroRNA Expression Profiles of Porcine Breast Milk Exosomes
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043691
Pubmed ID
Authors

Yiren Gu, Mingzhou Li, Tao Wang, Yan Liang, Zhijun Zhong, Xiaoyan Wang, Qi Zhou, Lei Chen, Qiulei Lang, Zhiping He, Xiaohui Chen, Jianjun Gong, Xiaolian Gao, Xuewei Li, Xuebin Lv

Abstract

Breast milk is the primary source of nutrition for newborns, and is rich in immunological components. MicroRNAs (miRNAs) are present in various body fluids and are selectively packaged inside the exosomes, a type of membrane vesicles, secreted by most cell types. These exosomal miRNAs could be actively delivered into recipient cells, and could regulate target gene expression and recipient cell function. Here, we analyzed the lactation-related miRNA expression profiles in porcine milk exosomes across the entire lactation period (newborn to 28 days after birth) by a deep sequencing. We found that immune-related miRNAs are present and enriched in breast milk exosomes (p<10(-16), χ(2) test) and are generally resistant to relatively harsh conditions. Notably, these exosomal miRNAs are present in higher numbers in the colostrums than in mature milk. It was higher in the serum of colostrum-only fed piglets compared with the mature milk-only fed piglets. These immune-related miRNA-loaded exosomes in breast milk may be transferred into the infant body via the digestive tract. These observations are a prelude to in-depth investigations of the essential roles of breast milk in the development of the infant's immune system.

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The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 <1%
United States 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 224 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 20%
Student > Ph. D. Student 37 16%
Student > Master 24 10%
Student > Bachelor 19 8%
Student > Doctoral Student 14 6%
Other 33 14%
Unknown 56 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 27%
Biochemistry, Genetics and Molecular Biology 39 17%
Medicine and Dentistry 29 13%
Chemistry 6 3%
Nursing and Health Professions 5 2%
Other 28 12%
Unknown 60 26%