Evidence Hub

Entwicklung und Charakterisierung eines trojanischen Helicobacter pylori

Tobias Zumbusch

RWTH Publications (RWTH Aachen), 2026

Abstract

The human pathogen Helicobacter pylori is a bacterium that colonizes the human stomach and is involved in the development of stomach ulcers and cancer. More than half of the world's population is already infected with H. pylori. The pathogen is well adapted to the environment in the stomach and different courses of disease can be observed depending on various individual factors such as microbiome and immune status. Current therapies rely solely on antibiotics. However, resistance to therapy-relevant antibiotics makes it difficult to treat patients effectively, which is why alternative antibiotic-free therapy approaches are needed in the long term to supplement or replace antibiotics, such as with antimicrobial peptides (AMPs). To enable effective antibiotic-free eradication of H. pylori in the future, the efficacy of 13 AMPs against H. pylori was investigated. The peptides LL-37 and Nisin A were found to be the most effective candidates. By recording dose-response curves, an almost similar mean inhibitory concentration (IC50) in the lower micromolar concentration range was determined for LL-37 (~12 µM) and Nisin A (~11 µM). Furthermore, all AMPs were analyzed with regard to their cytotoxic and hemolytic activity as well as their sensitivity to the digestive enzyme pepsin present in the human stomach. To deliver the drug to the site of infection, a modified H. pylori strain was to be developed that can act as a Trojan horse and colonize in the immediate vicinity of the…

How strong is the evidence?

Evidence Hub reads this as a thesis, done in cell cultures (in vitro), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free