Title |
Evidence of an increased pathogenic footprint in the lingual microbiome of untreated HIV infected patients
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Published in |
BMC Microbiology, July 2012
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DOI | 10.1186/1471-2180-12-153 |
Pubmed ID | |
Authors |
Angeline T Dang, Sean Cotton, Sumathi Sankaran-Walters, Chin-Shang Li, Chia-Yuan Michael Lee, Satya Dandekar, Bruce J Paster, Michael D George |
Abstract |
Opportunistic oral infections can be found in over 80% of HIV + patients, often causing debilitating lesions that also contribute to deterioration in nutritional health. Although appreciation for the role that the microbiota is likely to play in the initiation and/or enhancement of oral infections has grown considerably in recent years, little is known about the impact of HIV infection on host-microbe interactions within the oral cavity. In the current study, we characterize modulations in the bacterial composition of the lingual microbiome in patients with treated and untreated HIV infection. Bacterial species profiles were elucidated by microarray assay and compared between untreated HIV infected patients, HIV infected patients receiving antiretroviral therapy, and healthy HIV negative controls. The relationship between clinical parameters (viral burden and CD4+ T cell depletion) and the loss or gain of bacterial species was evaluated in each HIV patient group. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 5% |
United Kingdom | 1 | 1% |
Unknown | 90 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 17% |
Student > Master | 13 | 14% |
Researcher | 11 | 11% |
Student > Bachelor | 10 | 10% |
Professor | 8 | 8% |
Other | 22 | 23% |
Unknown | 16 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 26 | 27% |
Medicine and Dentistry | 23 | 24% |
Immunology and Microbiology | 11 | 11% |
Biochemistry, Genetics and Molecular Biology | 11 | 11% |
Chemistry | 3 | 3% |
Other | 6 | 6% |
Unknown | 16 | 17% |