Title |
Glycomacropeptide Sustains Microbiota Diversity and Promotes Specific Taxa in an Artificial Colon Model of Elderly Gut Microbiota
|
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Published in |
Journal of Agricultural & Food Chemistry, February 2017
|
DOI | 10.1021/acs.jafc.6b05434 |
Pubmed ID | |
Authors |
Alexandra Ntemiri, Fodhla Ní Chonchúir, Tom F. O’Callaghan, Catherine Stanton, R. Paul Ross, Paul W. O’Toole |
Abstract |
The potential of milk-derived glycomacropeptide (GMP) and lactose for modulating the human gut microbiota of older people, in whom loss of diversity correlates with inferior health, was investigated. We used an in vitro batch fermentation (artificial colon model) to simulate colonic fermentation processes of two GMP products, i.e. a commercially available GMP concentrate and a semi-purified GMP concentrate, and lactose. Faecal samples were collected from healthy and frail older people. Samples were analysed by Illumina Miseq sequencing of rRNA gene amplicons. The commercial GMP preparation had a positive effect on the growth of Coprococcus and Clostridium cluster XIVb and sustained a higher faecal microbiota diversity compared to control substrates or lactose. Lactose fermentation promoted the growth of Proteobacteria including Escherichia/Shigella. This work provides an in-depth insight on the potential of GMP and lactose for modulating the gut microbiota and contributes more evidence confirming the prebiotic activity of GMP. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Ireland | 1 | 20% |
United States | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 75 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 14 | 19% |
Student > Master | 8 | 11% |
Student > Bachelor | 6 | 8% |
Professor > Associate Professor | 6 | 8% |
Student > Ph. D. Student | 6 | 8% |
Other | 10 | 13% |
Unknown | 25 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 19 | 25% |
Biochemistry, Genetics and Molecular Biology | 8 | 11% |
Medicine and Dentistry | 7 | 9% |
Immunology and Microbiology | 4 | 5% |
Nursing and Health Professions | 2 | 3% |
Other | 8 | 11% |
Unknown | 27 | 36% |