4.4 Article

A Creative Helicobacter pylori Diagnosis Scheme Based on Multiple Genetic Analysis System: Qualification and Quantitation

Journal

HELICOBACTER
Volume 20, Issue 5, Pages 343-352

Publisher

WILEY
DOI: 10.1111/hel.12206

Keywords

Helicobacter pylori; Diagnosis scheme; Multiple Genetic Analysis System; Peptic ulcer; Qualification; Quantitation

Funding

  1. Natural Science Foundation, Science and Technology Commission of Shanghai [14 ZR1413100]
  2. Science and Technology Commission of Shanghai [134119a1700]
  3. Shanghai Shen-kang Hospital Development Center [SHDC12013123]
  4. Shanghai Municipal Health Bureau [20134008]

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Background: Currently, several diagnostic assays for Helicobacter pylori (H. pylori) are available, but each has some limitations. Further, a high-flux quantitative assay is required to assist clinical diagnosis and monitor the effectiveness of therapy and novel vaccine candidates. Methods: Three hundred and eighty-seven adult patients [nonulcer dyspepsia (NUD) 295, peptic ulcer disease (PUD) 77, gastric cancer (GC) 15] were enrolled for gastrointestinal endoscopies. Three biopsy samples from gastric antrum were collected for the following tests: culture, rapid urease test (RUT), histopathology, conventional polymerase chain reaction (PCR), and Multiple Genetic Analysis System (MGAS). The diagnostic capability of H. pylori for all methods was evaluated through the receiver operating characteristic (ROC) curves. Results: Based on the gold standard, the sensitivity and specificity of MGAS were 92.9 and 92.4%, and positive predict value (PPV) and negative predict value (NPV) were 96.0 and 87.1%, respectively. All the above parameters of MGAS were higher than that of culture (except its specificity), RUT and histopathology, and nearly closed to that of conventional PCR. The area under curve (AUC) was 0.7575 (Culture), 0.8870 (RUT), 0.9000 (Histopathology), 0.9496 (Conventional PCR), and 0.9277 (MGAS). No significant statistical difference was observed for the H. pylori DNA load in different disease groups (p=.067). In contrast, a statistically significant difference in the H. pylori DNA copy number was observed based on age (p=.043) and gender (p=.021). Conclusions: The data showed that MGAS performed well in detecting H. pylori infection. Furthermore, the quantitative analysis showed that the load of H. pylori was significantly different within both age and gender groups. These results suggested that MGAS could be a potential alternative method for clinical detection and monitoring of the effectiveness of H. pylori therapy.

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