The treatment of Helicobacter pylori (H. pylori) infection remains a challenge due to the increasing prevalence of drug-resistant bacteria. It is hypothesized that using more potent acid suppressants, such as potassium-competitive acid blockers (P-CABs) like Vonoprazan, may improve eradication rates. The aim of this study was to compare the effectiveness of H. pylori eradication regimens containing Vonoprazan with those containing proton pump inhibitors for H. pylori infection.

Two hundred and thirty-two patients were assigned to two groups. Group I (treatment-naïve) included: Arm 1 (intervention arm) with 58 patients who received Clarithromycin 500 mg twice daily, Amoxicillin 1 mg twice daily, and Vonoprazan 20 mg twice daily; and Arm 2 (comparator arm) with 58 patients who received Clarithromycin 500 mg twice daily, Amoxicillin 1 mg twice daily, and Esomeprazole 20 mg twice daily. Group II (treatment-experienced) included: Arm 3 (intervention arm) with 58 patients who received Levofloxacin 500 mg once daily, Vonoprazan 20 mg twice daily, Nitazoxanide 500 mg twice daily, and Doxycycline 100 mg once daily; and Arm 4 (comparator) with 58 patients who received Levofloxacin 500 mg once daily, Esomeprazole 20 mg twice daily, Nitazoxanide 500 mg twice daily, and Doxycycline 100 mg once daily. All patients received their treatment regimens for 14 days. H. pylori eradication was assessed four weeks after treatment.

The successful eradication rate was higher in Arm 1 (58.6%) compared to Arm 2 (50%), and higher in Arm 3 (50%) compared to Arm 4 (43.1%). H. pylori eradication regimens including P-CABs were well-tolerated with a low incidence of adverse events.

The results of P-CAB-based eradication regimens are comparable to those of proton pump inhibitor-based regimens.

Gastrointestinal endoscopy has undergone significant transformation since its first introduction in the early 20th century. Despite advances in modern endoscopy, its precision in detecting and removing colorectal cancer (CRC) varies; colorectal polyps or cancer are still missed in 2.1-5.9% of cases. Additionally, post-colonoscopy CRC occurs in 30% of patients who have undergone incomplete polyp resection. When biopsies are taken, only 11.4% are found to be malignant, rendering 88.6% of tissue removal unnecessary. To address these shortcomings, modern endoscopy is evolving. Current endoscopic modalities include wide-field and microscopic-field endoscopy. Wide-field view endoscopy remains the most frequently used type and includes the current standard of practice—white light endoscopy—as well as other modalities such as virtual and dye-based chromoendoscopy, ultrathin endoscopy, and capsule endoscopy. Microscopic field endoscopy encompasses several new emerging modalities that can provide microscopic resolution capable of diagnosing lesions in vivo (optical biopsy), thus reducing the number of unnecessary biopsies. However, the emerging technology comes with a learning curve and requires time for endoscopists to master and achieve interobserver agreement. Consequently, there is a growing opportunity to develop machine learning technology to assist with the learning process. We review current modalities available for the diagnosis of CRC, including the current standard of practice, new enhanced imaging modalities, and optical biopsy.

A colouterine fistula is an extremely rare condition that has been reported in various diseases, including diverticulitis, sigmoid colon malignancy, and complications from radiotherapy. It can also arise from iatrogenic conditions such as the insertion of intrauterine devices, endometrial curettage with urinary tract and bowel perforation, and obstetrical injury. Although colovaginal fistula caused by a foreign body has been reported, colouterine perforation by a foreign body has not been previously documented. We report the first case of foreign body colouterine perforation and its successful treatment by endoscopic removal and repair, resulting in the complete resolution of symptoms without the need for surgery. This case is highly significant due to its rare occurrence and successful treatment by endoscopic removal and repair without the usual and expected necessity for surgical intervention.

Gluten has multiple harmful effects that compromise human health, not only in gluten-dependent diseases but also in non-gluten-affected chronic inflammatory conditions. After consumption, the indigestible gluten peptides are modified by luminal microbial transglutaminase or transported through the gut epithelium to interact with the highly populated mucosal immune cells. As a disruptor of gut permeability, gluten peptides compromise tight junction integrity, allowing foreign immunogenic molecules to reach internal compartments. Gliadin peptides are distributed systemically to remote organs, where they encounter endogenous tissue transglutaminase. Following post-translational deamidation or transamidation, the peptides become immunogenic and pro-inflammatory, inducing organ dysfunction and pathology. Cross-reactivity and sequence homology between gluten/gliadin peptides and human epitopes may contribute to molecular mimicry in autoimmunity induction. A gluten-free diet can prevent these phenomena through various mechanisms. As proof of concept, gluten withdrawal alleviates disease activity in chronic inflammatory, metabolic, and autoimmune conditions, and even in neurodegeneration. We recommend combining the gluten-free and Mediterranean diets to leverage the advantages of both. Before recommending gluten withdrawal for non-gluten-dependent conditions, patients should be asked about gut symptomatology and screened for celiac-associated antibodies. The current list of gluten-induced diseases includes celiac disease, dermatitis herpetiformis, gluten ataxia, gluten allergy, and non-celiac gluten sensitivity. In view of gluten being a universal pro-inflammatory molecule, other non-celiac autoinflammatory and neurodegenerative conditions should be investigated for potential gluten avoidance.

The gastrointestinal microbiome remains an explosively increasing topic of study, assessing the potentially pivotal roles of the microbiome in maintaining health or causality in disease pathogenesis. Gastroesophageal reflux disease (GERD) has long been understood to be a result of direct acidic injury. However, emerging evidence suggests that GERD could also be caused by alterations in the esophageal microbiome, causing an induction of a submucosal inflammatory cytokine cascade, that has a retrograde effect on the luminal mucosa. This concept of a microbial shift/dysbiosis in the causality of GERD is clearly a paradigm shift and has led to possible treatment strategies beyond the traditional approach of acid-suppressive therapies. This review focuses on the current evidence surrounding GERD and the rationale for possible esophageal microbiome-directed treatment strategies.

Gastric cancer (GC) is a prevalent gastrointestinal malignancy, yet its early detection remains hindered due to the lack of available genetic markers. This study aimed to identify alternative genetic markers for the early prognosis and prevention of GC.

This objective was achieved through the analysis of differentially expressed genes (DEGs) from three datasets obtained from the Gene Expression Omnibus (GEO). By doing so, our goal was to identify hub genes associated with gastric adenocarcinoma that could serve as potential biomarkers for the early detection and management of GC. Three GEO datasets (GSE172032, GSE179581, and GSE181492), consisting of 10 normal and 10 GC samples were analyzed using the Galaxy web server. The visualizations of DEGs, including heatmaps, volcano plots, and MD plots, were generated via the same tool. ShinyGO performed Gene Ontology and KEGG enrichment analysis, while NetworkAnalyst identified a protein-protein interaction (PPI) network and screened 10 potential hub genes. Kaplan Meier plotter was used to analyze overall survival analysis for key hub genes, and NetworkAnalyst was used to assess protein-drug interactions for the top 10 hub genes.

A total of 1,079 common DEGs emerged across datasets, concentrating on significant GC-related pathways. Ten hub genes (H2BC21, H3C12, H2BC17, H3C2, H3C10, ERBB4, H2AC8, H3C8, H2BC14, and MAPT) were found to be linked to GC via PPI analysis. Survival analysis revealed that higher expression levels of ERBB4 and MAPT were associated with poor overall survival in GC patients. Furthermore, protein-drug interaction analysis revealed that the protein product of the MAPT gene exhibited a robust connection with drug compounds, specifically docetaxel and paclitaxel. These findings suggested that these drugs have the potential to inhibit the function of MAPT.

In summary, our findings provide putative candidate biomarkers, provide insights into GC treatment strategies, and highlight avenues for further research, contributing to a better understanding of the pathogenesis of GC.