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Related Concept Videos

Gastritis II: Pathophysiology01:26

Gastritis II: Pathophysiology

The pathophysiology of gastritis begins with the colonization of the stomach lining by Helicobacter pylori (H. pylori). This bacterium spreads mainly via the oral-oral route through saliva or shared utensils, and can also be transmitted in overcrowded or unhygienic environments through contaminated water, despite its brief survival outside the body.ColonizationOnce ingested, H. pylori enters the stomach and begins colonization by navigating through the mucus layer lining the stomach wall. It...
Peptic Ulcer Disease III: Clinical Manifestations and Diagnostic Studies01:28

Peptic Ulcer Disease III: Clinical Manifestations and Diagnostic Studies

Peptic ulcer disease (PUD) presents with diverse symptoms depending on the location and severity of the ulcer. Clinical manifestations of peptic ulcer include dull pain and a burning sensation in the mid-epigastric region.
Few clinical manifestations differentiate gastric ulcers from duodenal ulcers. Distinctions in the location, timing, and pain relief are crucial for healthcare providers in differentiating between gastric and duodenal ulcers during clinical assessments.
Peptic Ulcer01:27

Peptic Ulcer

Peptic ulcers are erosive lesions of the gastric or duodenal lining, most commonly caused by Helicobacter pylori infection. This Gram-negative, helical bacterium has adapted to survive the stomach’s acidic environment by producing urease, which converts urea into ammonia and carbon dioxide. The ammonia neutralizes gastric acid in the bacterium’s immediate environment, allowing colonization of the gastric mucosa. H. pylori attaches to mucus-secreting epithelial cells, penetrates the mucus...
Treating Helicobacter pylori in Peptic Ulcers: Antimicrobial Therapy01:16

Treating Helicobacter pylori in Peptic Ulcers: Antimicrobial Therapy

Helicobacter pylori, a resilient gram-negative bacterium, can thrive in the stomach's harsh, acidic environment. Infection with H. pylori leads to a cascade of events within the stomach lining. One of the critical disruptions caused by this bacterium is the interference with somatostatin production, a hormone responsible for regulating acid secretion. This interference tips the balance, escalating acid secretion and diminishing bicarbonate levels. This imbalance compromises the defensive...
Peptic Ulcer Disease II: Pathophysiology01:24

Peptic Ulcer Disease II: Pathophysiology

Peptic ulcer disease develops when protective mechanisms of the gastrointestinal mucosa are overwhelmed by harmful factors, leading to localized erosions in the stomach or proximal duodenum. The main causes are Helicobacter pylori infection and chronic use of nonsteroidal anti-inflammatory drugs (NSAIDs).Helicobacter pylori–Induced InjuryBacterial Adaptation and Colonization:H. pylori is a spiral, Gram-negative bacterium adapted to the acidic stomach. and transmitted through oral-oral or...
Peptic Ulcer Disease I: Introduction01:30

Peptic Ulcer Disease I: Introduction

Peptic Ulcer Disease (PUD) is characterized by mucosal excavation in the esophagus, stomach, pylorus, or duodenum. It can manifest as acute or chronic based on the extent and duration of mucosal involvement.
An acute ulcer, marked by superficial erosion and minimal inflammation, swiftly resolves upon identifying and addressing the underlying cause. In contrast, a chronic ulcer persists, potentially eroding through the muscular wall and forming fibrous tissue.
Peptic ulcers can also be...

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Related Experiment Video

Updated: May 16, 2026

Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia
03:05

Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia

Published on: February 16, 2024

Incorporating Helicobacter pylori Infection: A Novel Model for Predicting Advanced Colorectal Neoplasia.

Xujin Chen1, Dehua Tang2, Ningjing Gao2

  • 1Department of Gastroenterology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.

Helicobacter
|May 14, 2026
PubMed
Summary

A new model integrating gastric indicators, including Helicobacter pylori infection, accurately predicts advanced colorectal neoplasia (ACN). This tool enhances screening efficiency by identifying high-risk individuals for earlier detection of colorectal cancer (CRC).

Keywords:
Helicobacter pylori infectionadvanced colorectal neoplasiacombined gastrointestinal tumor screeninggastric‐related indicatorsrisk prediction model

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Rapid Detection of Fecal Antigen of Helicobacter pylori Infection Based on Double Antibody Sandwich Detection Technology

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Last Updated: May 16, 2026

Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia
03:05

Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia

Published on: February 16, 2024

Mouse Models Of Helicobacter Infection And Gastric Pathologies
07:43

Mouse Models Of Helicobacter Infection And Gastric Pathologies

Published on: October 18, 2018

Rapid Detection of Fecal Antigen of Helicobacter pylori Infection Based on Double Antibody Sandwich Detection Technology
03:33

Rapid Detection of Fecal Antigen of Helicobacter pylori Infection Based on Double Antibody Sandwich Detection Technology

Published on: May 23, 2025

Area of Science:

  • Gastroenterology
  • Oncology
  • Epidemiology

Background:

  • Early detection of advanced colorectal neoplasia (ACN) is crucial for reducing colorectal cancer (CRC) incidence and mortality.
  • Existing prediction models for ACN have limited discriminative power.
  • Integrating gastric-related indicators may improve ACN risk prediction and enable comprehensive gastrointestinal screening.

Purpose of the Study:

  • To develop and internally validate a novel risk prediction model for ACN.
  • To incorporate gastric-related indicators, such as Helicobacter pylori (H. pylori) infection status, into the ACN prediction model.
  • To assess the model's performance and compare it with existing scores for improved gastrointestinal tumor screening.

Main Methods:

  • A cohort of 2540 patients undergoing concurrent gastroscopy and colonoscopy was analyzed.
  • Data included demographics, family history, H. pylori status, and gastric histopathology.
  • Elastic Net and LASSO regression were used for variable selection, with the model trained on 80% and validated on 20% of the data.

Main Results:

  • The final model incorporated eight variables, with H. pylori infection being the strongest predictor of ACN.
  • The model achieved an AUC of 0.837 in internal validation, outperforming existing scores (APCS, Colorectal Tumor Prediction Score).
  • The model effectively stratified patients into high-risk and low-risk groups, significantly improving ACN detection efficiency (PNS=3 vs. 25).

Conclusions:

  • A novel risk prediction model for ACN integrating gastric indicators, notably H. pylori infection, has been developed and validated.
  • The model demonstrates promising retrospective risk stratification performance for patients undergoing endoscopic procedures.
  • Further prospective validation is required to confirm its clinical utility for guiding colonoscopy referral decisions.