Title |
Microbiota That Affect Risk for Shigellosis in Children in Low-Income Countries
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Published in |
Emerging Infectious Diseases, February 2015
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DOI | 10.3201/eid2101.140795 |
Pubmed ID | |
Authors |
Brianna Lindsay, Joe Oundo, M Anowar Hossain, Martin Antonio, Boubou Tamboura, Alan W Walker, Joseph N Paulson, Julian Parkhill, Richard Omore, Abu S G Faruque, Suman Kumar Das, Usman N Ikumapayi, Mitchell Adeyemi, Doh Sanogo, Debasish Saha, Samba Sow, Tamer H Farag, Dilruba Nasrin, Shan Li, Sandra Panchalingam, Myron M Levine, Karen Kotloff, Laurence S Magder, Laura Hungerford, Halvor Sommerfelt, Mihai Pop, James P Nataro, O Colin Stine |
Abstract |
Pathogens in the gastrointestinal tract exist within a vast population of microbes. We examined associations between pathogens and composition of gut microbiota as they relate to Shigella spp./enteroinvasive Escherichia coli infection. We analyzed 3,035 stool specimens (1,735 nondiarrheal and 1,300 moderate-to-severe diarrheal) from the Global Enteric Multicenter Study for 9 enteropathogens. Diarrheal specimens had a higher number of enteropathogens (diarrheal mean 1.4, nondiarrheal mean 0.95; p<0.0001). Rotavirus showed a negative association with Shigella spp. in cases of diarrhea (odds ratio 0.31, 95% CI 0.17-0.55) and had a large combined effect on moderate-to-severe diarrhea (odds ratio 29, 95% CI 3.8-220). In 4 Lactobacillus taxa identified by 16S rRNA gene sequencing, the association between pathogen and disease was decreased, which is consistent with the possibility that Lactobacillus spp. are protective against Shigella spp.-induced diarrhea. Bacterial diversity of gut microbiota was associated with diarrhea status, not high levels of the Shigella spp. ipaH gene. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 20% |
Australia | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | <1% |
Unknown | 110 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 23% |
Student > Ph. D. Student | 18 | 16% |
Student > Master | 14 | 13% |
Other | 7 | 6% |
Student > Bachelor | 6 | 5% |
Other | 18 | 16% |
Unknown | 22 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 24 | 22% |
Immunology and Microbiology | 18 | 16% |
Medicine and Dentistry | 13 | 12% |
Biochemistry, Genetics and Molecular Biology | 11 | 10% |
Nursing and Health Professions | 6 | 5% |
Other | 10 | 9% |
Unknown | 29 | 26% |