Abstract
Abstract
Background
Helicobacter pylori (H. pylori) infection is a serious human health threat. The empiric H. pylori treatment paradigm guided by traditional testing technologies has led to antibiotic resistance. Here, we improved the qPCR method to provide technical support for precision H. pylori diagnosis and treatment.
Methods
Two pairs of primers and probes targeting the glmM gene were designed to detect H. pylori, and a multiplex qPCR method was established for virulence factor detection. Then, a rapid urease test (RUT), culturing and qPCR were performed on 141 specimens collected from Xinqiao Hospital of China in 2017 to evaluate the qPCR detection capability. Finally, the H. pylori infectious amount and virulence genes were detected by qPCR.
Results
1. The improved qPCR method which used two pairs of primers had a higher detection rate (100%) and better accuracy (p = 0.000), compared with the qPCR using a pair of primers. It also had better consistency with the bacterial culture than with RUT (Kappa =0.440, p < 0.001). 2. The H. pylori infectious amount was significantly positively associated with gastritis in corpus (p = 0.003) and gastric erosion (p = 0.043). The H. pylori infectious amount in gastric precancerous patients was significantly lower than that in H. pylori-positive patients (p < 0.05), and the infectious H. pylori-vacA s1+ amount was significantly greater than that of H. pylori-vacA s1- (p < 0.05). 3. The vacA s1 frequency was significantly higher than that of vacA m1/cagA+/babA2+ in chronic superficial gastritis (p = 0.000), peptic ulcer (p = 0.037) and gastric erosion (p = 0.009). The H. pylori-vacA+/cagA+/babA2+ frequency showed a significant positive correlation (p < 0.05).
Conclusions
The H. pylori infectious amount and presence of H. pylori virulence factors showed complex correlations with gastric disease occurrence and development. The improved qPCR with good detection performance can be used for quantitative H. pylori detection and testing for the virulence genes vacA s1, vacA m1, cagA and babA2 simultaneously. These findings will provide valuable information for disease diagnosis and treatment.
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
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