Chapter title |
Gut Microbes, Diet, and Cancer.
|
---|---|
Chapter number | 22 |
Book title |
Advances in Nutrition and Cancer
|
Published in |
Cancer treatment and research, October 2013
|
DOI | 10.1007/978-3-642-38007-5_22 |
Pubmed ID | |
Book ISBNs |
978-3-64-238006-8, 978-3-64-238007-5
|
Authors |
Meredith A J Hullar, Andrea N Burnett-Hartman, Johanna W Lampe, Hullar MA, Burnett-Hartman AN, Lampe JW, Meredith A. J. Hullar, Andrea N. Burnett-Hartman, Johanna W. Lampe, Hullar, Meredith A. J., Burnett-Hartman, Andrea N., Lampe, Johanna W. |
Editors |
Vincenzo Zappia, Salvatore Panico, Gian Luigi Russo, Alfredo Budillon, Fulvio Della Ragione |
Abstract |
An expanding body of evidence supports a role for gut microbes in the etiology of cancer. Previously, the focus was on identifying individual bacterial species that directly initiate or promote gastrointestinal malignancies; however, the capacity of gut microbes to influence systemic inflammation and other downstream pathways suggests that the gut microbial community may also affect risk of cancer in tissues outside of the gastrointestinal tract. Functional contributions of the gut microbiota that may influence cancer susceptibility in the broad sense include (1) harvesting otherwise inaccessible nutrients and/or sources of energy from the diet (i.e., fermentation of dietary fibers and resistant starch); (2) metabolism of xenobiotics, both potentially beneficial or detrimental (i.e., dietary constituents, drugs, carcinogens, etc.); (3) renewal of gut epithelial cells and maintenance of mucosal integrity; and (4) affecting immune system development and activity. Understanding the complex and dynamic interplay between the gut microbiome, host immune system, and dietary exposures may help elucidate mechanisms for carcinogenesis and guide future cancer prevention and treatment strategies. |
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Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 31% |
Japan | 1 | 8% |
South Africa | 1 | 8% |
Chile | 1 | 8% |
Ecuador | 1 | 8% |
Venezuela, Bolivarian Republic of | 1 | 8% |
Canada | 1 | 8% |
Unknown | 3 | 23% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 62% |
Practitioners (doctors, other healthcare professionals) | 4 | 31% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | <1% |
France | 1 | <1% |
Unknown | 145 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 14% |
Student > Bachelor | 19 | 13% |
Student > Master | 18 | 12% |
Researcher | 17 | 12% |
Student > Doctoral Student | 8 | 5% |
Other | 25 | 17% |
Unknown | 40 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 23 | 16% |
Medicine and Dentistry | 22 | 15% |
Agricultural and Biological Sciences | 21 | 14% |
Nursing and Health Professions | 8 | 5% |
Chemistry | 7 | 5% |
Other | 16 | 11% |
Unknown | 50 | 34% |