| Title |
Analysis of Helicobacter pylori genotypes in clinical gastric wash samples
|
|---|---|
| Published in |
Tumor Biology, January 2016
|
| DOI | 10.1007/s13277-016-4886-4 |
| Pubmed ID | |
| Authors |
Shuichi Miyamoto, Yoshiyuki Watanabe, Ritsuko Oikawa, Shoko Ono, Katsuhiro Mabe, Takahiko Kudo, Hiroyuki Yamamoto, Fumio Itoh, Mototsugu Kato, Naoya Sakamoto |
| Abstract |
Helicobacter pylori is a key factor in the development of gastric cancer; indeed, clearance of H. pylori helps prevent gastric cancer. However, the relationship between gastric cancer and the abundance and diversity of H. pylori genotypes in the stomach remains unknown. Here, we present, for the first time, a quantitative analysis of H. pylori genotypes in gastric washes. A method was first developed to assess diversity and abundance by pyrosequencing and analysis of single nucleotide polymorphisms in 23S ribosomal RNA (rRNA), a gene associated with clarithromycin resistance. This method was then validated using arbitrarily mixed plasmids carrying 23S rRNA with single nucleotide polymorphisms. Multiple strains were detected in many of 34 clinical samples, with frequency 24.3 ± 24.2 and 26.3 ± 33.8 % for the A2143G and A2144G strains, respectively. Importantly, results obtained from gastric washes were similar to those obtained from biopsy samples. The method provides opportunities to investigate drug resistance in H. pylori and assess potential biomarkers of gastric cancer risk, and should thus be validated in large-scale clinical trials. |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 20% |
| Researcher | 3 | 20% |
| Lecturer | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 33% |
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Nursing and Health Professions | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 January 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#333,204
of 396,346 outputs
Outputs of similar age from Tumor Biology
#148
of 225 outputs
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