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Are molecular methods helpful for the diagnosis of Helicobacter pylori infection and for the prediction of its antimicrobial resistance?
Infections produced by Helicobacter pylori ( H. pylori ), a spiral Gram-negative bacterium, can cause chronic gastritis, peptic ulcer, and gastric cancer. Antibiotic therapy is the most effective treatment for H. pylori infection at present. However, owing to the increasing antibiotic resistance of...
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Published in: | Frontiers in microbiology 2022-08, Vol.13, p.962063-962063 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Infections produced by
Helicobacter pylori
(
H. pylori
), a spiral Gram-negative bacterium, can cause chronic gastritis, peptic ulcer, and gastric cancer. Antibiotic therapy is the most effective treatment for
H. pylori
infection at present. However, owing to the increasing antibiotic resistance of
H. pylori
strains, it has become a serious threat to human health. Therefore, the accurate diagnosis of
H. pylori
infections and its antibiotic resistance markers is of great significance. Conventional microbiological diagnosis of
H. pylori
is based on culture; however, successful isolation of
H. pylori
from gastric biopsy specimens is a challenging task affected by several factors and has limitations in terms of the time of response. To improve conventional methods, some molecular techniques, such as PCR, have been recently used in both invasive and non-invasive
H. pylori
diagnosis, enabling simultaneous detection of
H. pylori
and point mutations responsible for frequent antibiotic resistance. The advantages and disadvantages of molecular methods, mainly PCR, versus conventional culture for the
H. pylori
identification and the detection of antibiotic resistance are discussed. As expected, the combination of both diagnostic methods will lead to the most efficient identification of the
H. pylori
strains and the resistance patterns. |
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ISSN: | 1664-302X 1664-302X |
DOI: | 10.3389/fmicb.2022.962063 |