Dihydrotanshinone I Is Effective against Drug-Resistant Helicobacter pylori In Vitro and In Vivo

Abstract

Helicobacter pylori is a major global pathogen and has been implicated in gastritis, peptic ulcer and gastric carcinoma. The efficacy of the extensive therapy of H. pylori infection with antibiotics is compromised by development of drug resistance and toxicity toward human gut microbiota, which urgently demands novel and selective antibacterial strategies. The present study was mainly performed to assess the in vitro and in vivo effects of a natural herbal compound, dihydrotanshinone I (DHT), against standard and clinical H. pylori strains. DHT demonstrated effective antibacterial activity against H. pylori in vitro ((MIC50/90: 0.25/0.5 μg/mL) with no development of resistance during continuous serial passaging. Time-kill curves showed strong time-dependent bactericidal activity for DHT. Also DHT eliminated preformed biofilms and killed biofilm-encased H. pylori cells more efficiently than the conventional antibiotics, metronidazole. In mouse models of multi-drug resistant H. pylori infection, dual therapy with DHT and omeprazole showed superior in vivo killing efficacy to the standard triple therapy approach. Moreover, DHT treatment induces neglectable toxicity against normal tissues and exhibits a relative safety index. These results suggest that DHT could be suitable for use as an anti-H. pylori agent in combination with proton pump inhibitor to eradicate multidrug-resistant H. pylori.

Evaluation of the Effect of PDCA in Hospital Health Management

“…This process can not only strengthen the risk management awareness of high-risk links but also enhance the disinfection and isolation awareness, hand hygiene awareness, and aseptic operation awareness of operating room staff and finally improve the health management quality of operating room [ 13 , 14 ]. Some experts believed that [ 15 , 16 ] the advantage of PDCA is that it is not achieved overnight, but a continuous process. The current problems can be solved through one cycle, and new problems can be solved through the next cycle.…”

Diagnostic Value of SonoVue Contrast-Enhanced Ultrasonography in Nipple Discharge Based on Artificial Intelligence

“…The research results of this study are different from the current research results, and the reason is due to the gradient instability. In the process of data processing, supervised deep learning algorithm uses gradient descent algorithm to increase its sensitivity to the initial value [ 21 ] and finally makes the training of unsupervised deep learning model parameters more difficult [ 22 ]. Unsupervised deep learning model results showed that, with the increase of the number of iterations, the weight coefficient under different network layers represented a significant downward trend.…”

“…e research results of this study are different from the current research results, and the reason is due to the gradient instability. In the process of data processing, supervised deep learning algorithm uses gradient descent algorithm to increase its sensitivity to the initial value [21] and finally makes the training of unsupervised deep learning model parameters more difficult [22].…”

Rehabilitation of Sepsis Patients with Acute Kidney Injury Based on Intelligent Medical Big Data

“…treatment, the urea nitrogen in sepsis patients with AKI can be smoothly excluded from the body, and the effect of Xuebijing injection is better (Figure 9). Cystatin C is a cysteine protease inhibitor, which widely exists in human body fluids and nucleated cells and can be reabsorbed by renal tubular epithelial cells and then metabolized without entering the blood, and renal tubules do not produce cystatin C. erefore, the content of cystatin C can be used as an index to evaluate renal function [20].…”