Title |
Early-Life Human Microbiota Associated With Childhood Allergy Promotes the T Helper 17 Axis in Mice
|
---|---|
Published in |
Frontiers in immunology, December 2017
|
DOI | 10.3389/fimmu.2017.01699 |
Pubmed ID | |
Authors |
Dagbjort H. Petursdottir, Sofia Nordlander, Khaleda Rahman Qazi, Claudia Carvalho-Queiroz, Omneya Ahmed Osman, Eva Hell, Sophia Björkander, Yeneneh Haileselassie, Marit Navis, Efthymia Kokkinou, Ivan Zong Long Lio, Julia Hennemann, Björn Brodin, Douglas L. Huseby, Caroline Nilsson, Diarmaid Hughes, Klas I. Udekwu, Eva Sverremark-Ekström |
Abstract |
The intestinal microbiota influences immune maturation during childhood, and is implicated in early-life allergy development. However, to directly study intestinal microbes and gut immune responses in infants is difficult. To investigate how different types of early-life gut microbiota affect immune development, we collected fecal samples from children with different allergic heredity (AH) and inoculated germ-free mice. Immune responses and microbiota composition were evaluated in the offspring of these mice. Microbial composition in the small intestine, the cecum and the colon were determined by 16S rRNA sequencing. The intestinal microbiota differed markedly between the groups of mice, but only exposure to microbiota associated with AH and known future allergy in children resulted in a T helper 17 (Th17)-signature, both systemically and in the gut mucosa in the mouse offspring. These Th17 responses could be signs of a particular microbiota and a shift in immune development, ultimately resulting in an increased risk of allergy. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 20% |
Researcher | 6 | 15% |
Student > Bachelor | 4 | 10% |
Student > Master | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 4 | 10% |
Unknown | 14 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 17% |
Immunology and Microbiology | 6 | 15% |
Biochemistry, Genetics and Molecular Biology | 5 | 12% |
Medicine and Dentistry | 2 | 5% |
Nursing and Health Professions | 1 | 2% |
Other | 5 | 12% |
Unknown | 15 | 37% |