Title |
Microbiome and asthma
|
---|---|
Published in |
Asthma Research and Practice, January 2018
|
DOI | 10.1186/s40733-017-0037-y |
Pubmed ID | |
Authors |
Milena Sokolowska, Remo Frei, Nonhlanhla Lunjani, Cezmi A. Akdis, Liam O’Mahony |
Abstract |
The mucosal immune system is in constant communication with the vast diversity of microbes present on body surfaces. The discovery of novel molecular mechanisms, which mediate host-microbe communication, have highlighted the important roles played by microbes in influencing mucosal immune responses. Dendritic cells, epithelial cells, ILCs, T regulatory cells, effector lymphocytes, NKT cells and B cells can all be influenced by the microbiome. Many of the mechanisms being described are bacterial strain- or metabolite-specific. Microbial dysbiosis in the gut and the lung is increasingly being associated with the incidence and severity of asthma. More accurate endotyping of patients with asthma may be assisted by further analysis of the composition and metabolic activity of an individual's microbiome. In addition, the efficacy of specific therapeutics may be influenced by the microbiome and novel bacterial-based therapeutics should be considered in future clinical studies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 6 | 15% |
United Kingdom | 4 | 10% |
France | 3 | 7% |
Australia | 3 | 7% |
United States | 2 | 5% |
Brazil | 2 | 5% |
Venezuela, Bolivarian Republic of | 2 | 5% |
Spain | 1 | 2% |
Canada | 1 | 2% |
Other | 1 | 2% |
Unknown | 16 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 30 | 73% |
Practitioners (doctors, other healthcare professionals) | 6 | 15% |
Scientists | 3 | 7% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 240 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 58 | 24% |
Student > Ph. D. Student | 34 | 14% |
Researcher | 31 | 13% |
Student > Master | 15 | 6% |
Other | 14 | 6% |
Other | 33 | 14% |
Unknown | 55 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 49 | 20% |
Medicine and Dentistry | 42 | 18% |
Biochemistry, Genetics and Molecular Biology | 31 | 13% |
Immunology and Microbiology | 18 | 8% |
Nursing and Health Professions | 12 | 5% |
Other | 19 | 8% |
Unknown | 69 | 29% |