Title |
The microbiome and inborn errors of metabolism: Why we should look carefully at their interplay?
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Published in |
Genetics and Molecular Biology, September 2018
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DOI | 10.1590/1678-4685-gmb-2017-0235 |
Pubmed ID | |
Authors |
Karina Colonetti, Luiz Fernando Roesch, Ida Vanessa Doederlein Schwartz |
Abstract |
Research into the influence of the microbiome on the human body has been shedding new light on diseases long known to be multifactorial, such as obesity, mood disorders, autism, and inflammatory bowel disease. Although inborn errors of metabolism (IEMs) are monogenic diseases, genotype alone is not enough to explain the wide phenotypic variability observed in patients with these conditions. Genetics and diet exert a strong influence on the microbiome, and diet is used (alone or as an adjuvant) in the treatment of many IEMs. This review will describe how the effects of the microbiome on the host can interfere with IEM phenotypes through interactions with organs such as the liver and brain, two of the structures most commonly affected by IEMs. The relationships between treatment strategies for some IEMs and the microbiome will also be addressed. Studies on the microbiome and its influence in individuals with IEMs are still incipient, but are of the utmost importance to elucidating the phenotypic variety observed in these conditions. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 19% |
India | 2 | 13% |
Canada | 1 | 6% |
United Kingdom | 1 | 6% |
Netherlands | 1 | 6% |
France | 1 | 6% |
Unknown | 7 | 44% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 12 | 75% |
Scientists | 2 | 13% |
Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 109 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 17% |
Student > Bachelor | 17 | 16% |
Researcher | 15 | 14% |
Student > Ph. D. Student | 11 | 10% |
Other | 6 | 6% |
Other | 14 | 13% |
Unknown | 28 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 16% |
Agricultural and Biological Sciences | 12 | 11% |
Biochemistry, Genetics and Molecular Biology | 11 | 10% |
Immunology and Microbiology | 7 | 6% |
Nursing and Health Professions | 7 | 6% |
Other | 21 | 19% |
Unknown | 34 | 31% |