Journal of Gastroenterology and Hepatology最新文献

Background and aim: Observational studies have shown that there is a connection between blood biomarkers and the occurrence of acute pancreatitis (AP). Nevertheless, the causal relationships are still not clear. The purpose of this study was to evaluate causal association between biomarkers and AP.

Method(s): A bidirectional two-sample Mendelian randomization (MR) analysis was applied to investigate the causal association between blood biomarkers and AP. Summary statistics obtained from genome-wide association studies were utilized for this analysis. The primary statistical approach employed was the inverse variance weighted (IVW) method, complemented by sensitivity analyses aimed at assessing heterogeneity and pleiotropy. Furthermore, a multivariable MR (MVMR) analysis was performed to adjust for confounders.

Results: A total of 11 red blood cell (RBC) traits, 6 white blood cell traits, platelet count, and 30 blood biomarkers were analyzed in this study. Genetically predicted RBC count (IVW odds ratio [OR] = 1.144, P = 0.004), the high light scatter reticulocyte count (HLSR) (OR = 1.127, P = 0.022), blood glucose (BG) (OR = 1.480, P = 0.019), and leptin (OR = 1.234, P = 0.050) were suggestively associated with an increased risk of AP. Reverse MR analysis showed no causal effect of AP on RBC, HLSR, BG, and leptin (IVW P > 0.05). Sensitivity analyses and MVMR analysis still supported the earlier causality.

Conclusion(s): Our findings provide evidence of a suggestive association between RBC count, HLSR, BG, and leptin with an increased susceptibility to AP. These findings aid in our comprehension of the cause of AP and may be used as potential prognostic markers or predictors of severity with AP.

Health claims for many probiotic-labeled products are poorly substantiated. This technical review addressed the clinical question: "Do probiotics have a role in the management of the following conditions in childhood?" Evidence supports efficacy for probiotic strains of Saccharomyces boulardii, Lactobacillus reuteri, and Lactobacillus rhamnosus GG for improving outcomes of acute gastroenteritis, of S. boulardii and L. rhamnosus GG for antibiotic-associated diarrhea, and of S. boulardii for Clostridium difficile diarrhea. For functional constipation and GERD, a role for probiotics is questionable as evidence of efficacy is either absent or marginal and as existing treatments are effective. For infantile colic and chronic abdominal pain, where existing treatments have limited efficacy and some important side effects, the use of probiotics, given their safety, is recommended, notwithstanding the evidence is low to moderate. While there is some evidence that probiotics could improve outcomes in the management of celiac disease, obesity, and, to a lesser extent, promotion of growth, their role is adjunctive as dietary management is fundamental. The evidence also supports an adjunctive role for probiotics in the treatment of Helicobacter pylori infection and ulcerative colitis. Decisions on probiotic prescription need to take into account disease tempo, severity, and burden, as well as probiotic strain and dose. Any potential advantage will have to be weighed against the complexity and costs of an additional treatment.

Background and aim: Computed tomography of the abdomen exhibits subtle and complex features of liver lesions, subjectively interpreted by physicians. We developed a deep learning-based localization and classification (DLLC) system for focal liver lesions (FLLs) in computed tomography imaging that could assist physicians in more robust clinical decision-making.

Methods: We conducted a retrospective study (approval no. EMRP-109-058) on 1589 patients with 17 335 slices with 3195 FLLs using data from January 2004 to December 2020. The training set included 1272 patients (male: 776, mean age 62 ± 10.9), and the test set included 317 patients (male: 228, mean age 57 ± 11.8). The slices were annotated by annotators with different experience levels, and the DLLC system was developed using generative adversarial networks for data augmentation. A comparative analysis was performed for the DLLC system versus physicians using external data.

Results: Our DLLC system demonstrated mean average precision at 0.81 for localization. The system's overall accuracy for multiclass classifications was 0.97 (95% confidence interval [CI]: 0.95-0.99). Considering FLLs ≤ 3 cm, the system achieved an accuracy of 0.83 (95% CI: 0.68-0.98), and for size > 3 cm, the accuracy was 0.87 (95% CI: 0.77-0.97) for localization. Furthermore, during classification, the accuracy was 0.95 (95% CI: 0.92-0.98) for FLLs ≤ 3 cm and 0.97 (95% CI: 0.94-1.00) for FLLs > 3 cm.

Conclusion: This system can provide an accurate and non-invasive method for diagnosing liver conditions, making it a valuable tool for hepatologists and radiologists.

Background and aim: Endoscopic ultrasound (EUS) is the most sensitive method for evaluation of pancreatic lesions but is limited by significant operator dependency. Artificial intelligence (AI), in the form of computer-aided detection (CADe) systems, has shown potential in increasing accuracy and bridging operator dependency in several endoscopic domains. However, the complexity of integrating AI into EUS is far more challenging. This aims to develop and test the basis for a CADe system for real-time detection and segmentation of all pancreatic lesions.

Methods: In this single-center study EUS studies of pancreatic findings were included. Lesions were outlined by two expert (>5 years performing EUS) endoscopists, and the two leading types of models were benchmarked. The models' performance was evaluated through per-pixel intersection over union (IoU).

Results: A total of 1497 EUS images from 165 patients were evaluated. The dataset included malignancies, neuroendocrine tumors, benign cysts, chronic and acute pancreatitis, normal fatty pancreas, and benign lesions. The best model demonstrated detection and segmentation on the test set with a mean IoU of 0.73, achieving a PPV, NPV, total accuracy, and ROC of 0.82, 0.96, 0.95, and 0.95, respectively. The algorithm is adaptable for real-time processing.

Conclusions: We developed and tested deep learning models for real-time detection and segmentation of pancreatic lesions during EUS with promising results. This constitutes the basis for a CADe system for EUS, which could be valuable in future detection and evaluation of pancreatic lesions. Further studies for validation and generalization are underway.

Background and aim: Clostridioides difficile infection (CDI) is a leading cause of nosocomial infection and is associated with both higher morbidity and mortality. Cirrhotic patients are more susceptible to CDI because of impaired gut immune response, use of proton pump inhibitor, and frequent hospitalization. We aim to investigate the impact of CDI on cirrhotic patients' in-hospital and 30-day mortality, length of stay, and hospital cost.

Methods: Potentially eligible studies were identified from Embase, Medline, and Web of Sciences databases.

Results: A total of 2320 articles were identified. After reviewing, nine studies reporting in-hospital mortality and three reporting 30-day mortality of cirrhotic patients with CDI versus those without CDI were included. The meta-analysis of nine studies, consisting of 7 746 126 patients, revealed a significant association between CDI and in-hospital mortality in cirrhotic patients with the pooled OR of 1.68 (95% CI 1.29-1.85, I² 94%). Length of stay and hospital cost were also higher in the CDI group (pooled MD of 6.56 days [95% CI 5.75-7.36, I² 94%] and 27.85 (×$1000) [95% CI 10.41-45.29, I² 100%], respectively). The funnel plots for the meta-analysis of the association between CDI and in-hospital mortality, length of stay, and hospitalization cost were not suggestive of publication bias. From three studies consisting of 3694 patients, we found that CDI was not associated with 30-day mortality in cirrhotic patients (pooled OR 1.20, 95% CI 0.75-2.24, I² 74%).

Conclusion: CDI is associated with increased in-hospital mortality, length of stay, and hospital costs, but not with 30-day mortality in cirrhotic patients.

Background and aim: Celiac disease (CeD) is increasingly diagnosed but significant disparities exist in awareness, practices, resources, and legislation worldwide. We conducted a global online survey with CeD experts to assess this disparity internationally.

Methods: A 55 questions survey encompassing nine domains relevant to CeD care (awareness, gluten-free [GF] foods availability/cost/quality, GF labeling, CeD dietician availability, insurance for CeD patients, medical training, research funding, patient support groups, and unmet needs) was generated and sent to CeD experts worldwide electronically. Countries were stratified based on per capita income as high-income (HIC) and lower-income countries (LIC) (including upper-middle-, lower-middle-, and low-income countries). Survey responses were summarized as a single score using principal component analysis.

Results: Valid responses were obtained from 131(37.4%) [HIC: 71; LIC: 60] of contacted CeD experts from 63 countries. Compared with HIC, LIC experts perceived worse availability (HIC:80% vs LIC: 47%; P < 0.001), quality (52% vs 20%; P < 0.001), and legislation for labeling of GF foods (82% vs 37%; P < 0.001), with unfavorable reimbursement policies (27% vs 12%; P = 0.002), subsidies (32% vs 13%; P < 0.001), and insurance (76% vs 43%; P < 0.001) for CeD patients. LIC also lacked awareness about CeD among general physicians (69% vs 32%; P < 0.001), trained celiac dieticians (39% vs 12%; P = 0.002), and active CeD patient support groups (93% vs 50%; P < 0.001). All experts believed that GF foods were costly (94% vs 87%), frequently contaminated (27% vs 32%), and unfavorably taxed (97% and 93%). The experts agreed on key unmet needs and better research funding. Overall CeD preparedness score (median 58.3 vs 33.0; P < 0.001) was also associated with income.

Conclusions: The present survey highlights the opinion of global experts on the challenges, opportunities, and preparedness related to CeD and differences worldwide by income.

Background and aim: Colorectal endoscopic submucosal dissection is a technically demanding procedure with a steep learning curve. In Japan, the National Cancer Center Hospital allows overseas doctors to participate in hands-on training. We aimed to assess the colorectal endoscopic submucosal dissection performance and learning curve of an endoscopist who participated in hands-on training.

Methods: In this retrospective analysis using a prospectively collected database, 100 consecutive superficial colorectal tumors from 100 patients treated with endoscopic submucosal dissection by a colorectal surgeon between January 2020 and May 2024 were included. The cases were grouped into three learning periods: phase I (the initial 30 cases under local expert supervision before training in Japan), phase II (the middle 30 cases), and phase III (the last 40 cases). The primary outcome was resection speed.

Results: The median resection speed was 5, 11.7, and 13.2 cm²/h in phases I, II, and III, respectively. In matched data, the resection speeds in phases II and III were higher than that in phase I (P = 0.02 and P < 0.001, respectively). En bloc and R0 resection rates were 99% and 95%, respectively. The en bloc resection, R0 resection, and complication rates were not different between phases. Cumulative sum analysis of the resection speed revealed that proficiency was achieved after 36 cases.

Conclusions: An endoscopist who underwent a tutored approach and hands-on training in Japan achieved the proficiency benchmarks for colorectal endoscopic submucosal dissection after 36 cases. However, the endoscopist's extensive experience before training may contribute to excellent outcomes.

Chronic mucosal inflammation and architectural crypt distortions (ACD) are essential for the histologic diagnosis of ulcerative colitis (UC). ACD in UC has been defined as irregularly arranged, dilated, branched, and shortened crypts with inequality of inter-crypt distance. However, neither the diagnostic sections' crypt phenotype nor the cutting mode have been considered. In this regard, previous studies showed that most diagnostic biopsies in UC are fortuitously crosscut at laboratories. In this communication, we review the crypt phenotypes that are included in the ACD in UC notion: crypts in asymmetric branching, crypt rings in tandem, crypts with lateral buds, face-to-face "kissing crypts," crypts-in-crypts, laterally orientated crypts in anthemia fold domains, and crypts with irregular shape and size in innominate groves domains. The awareness that disparate crypt phenotypes may participate in the ACD notion may open new vistas in the interpretation of crypt distortions in crosscut diagnostic sections in UC. The present findings will permit endoscopists and clinicians to better understand the narrative of ACD in the pathological diagnosis.

Background and aim: Hepatic fibrosis is a common outcome of chronic liver injury and can eventually lead to cirrhosis, which is a major public health concern. Hepatic stellate cells (HSCs) are the major producers of extracellular matrix (ECM) and regulate the synthesis and decomposition of ECM, but the specific mechanism of them remains unclear. Transient receptor potential channel 6 (TRPC6), a non-selective cation channel, plays an important role in organic fibrosis. However, the role of TRPC6 in liver fibrosis is rarely studied.

Methods: Here, we investigated the function of TRPC6 in the activation of the human hepatic stellate cell line LX-2 in vitro and bile duct ligation (BDL)-induced hepatic fibrosis in vivo by western blot, Ca²⁺ imaging, and immunohistochemistry.

Results: We first found that TRPC6 was upregulated in fibrotic liver tissues and TRPC6 knockout inhibited BDL-induced hepatic fibrosis. Transforming growth factor-β1 (TGF-β1) treatment increased TRPC6 expression and thapsigargin (Tg)-mediated SOCE in LX-2 cells, which was decreased by the TRPC6 specific inhibitor SAR7334. Blockage of TRPC6 by SAR7334 or TRPC6-shRNA transfection attenuated TGF-β1-induced LX-2 cell activation and proliferation via the PI3K/AKT/p70S6K signaling pathway.

Conclusions: These observations suggested that TRPC6 contribute to LX-2 cell activation and hepatic fibrosis, and downregulation of TRPC6 may become a therapeutic strategy for the treatment of hepatic fibrosis in the future.