Title |
Papio spp. Colon microbiome and its link to obesity in pregnancy
|
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Published in |
Journal of Medical Primatology, July 2018
|
DOI | 10.1111/jmp.12366 |
Pubmed ID | |
Authors |
XuanJi Li, Christopher Rensing, William L. Taylor, Caitlin Costelle, Asker Daniel Brejnrod, Robert J. Ferry, Paul B. Higgins, Franco Folli, Kameswara Rao Kottapalli, Gene B. Hubbard, Edward J. Dick, Shibu Yooseph, Karen E. Nelson, Natalia Schlabritz‐Loutsevitch |
Abstract |
Gut microbial communities are critical players in the pathogenesis of obesity. Pregnancy is associated with increased bacterial load and changes in gut bacterial diversity. Sparse data exist regarding composition of gut microbial communities in obesity combined with pregnancy. Banked tissues were collected under sterile conditions during necropsy, from three non-obese (nOb) and four obese (Ob) near-term pregnant baboons. Sequences were assigned taxonomy using the Ribosomal Database Project classifier. Microbiome abundance and its difference between distinct groups were assessed by a nonparametric test. Three families predominated in both the nOb and Ob colonic microbiome: Prevotellaceae (25.98% and 32.71% respectively), Ruminococcaceae (12.96% and 7.48%), and Lachnospiraceae (8.78% and 11.74%). Seven families of the colon microbiome displayed differences between Ob and nOb groups. Changes in gut microbiome in pregnant obese animals open the venue for dietary manipulation in pregnancy. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 32% |
Student > Master | 2 | 6% |
Researcher | 2 | 6% |
Other | 1 | 3% |
Librarian | 1 | 3% |
Other | 1 | 3% |
Unknown | 14 | 45% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 5 | 16% |
Biochemistry, Genetics and Molecular Biology | 4 | 13% |
Engineering | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Psychology | 1 | 3% |
Other | 3 | 10% |
Unknown | 15 | 48% |