Introduction

Sodium-glucose cotransporter-2 inhibitors (SGLT-2is) have demonstrated metabolic and cardiovascular benefits in patients with type 2 diabetes (T2D). However, their potential effect on pancreatic cancer (PC) risk remains unclear.

Aims & Methods

We aimed to examine the association between SGLT-2i use and PC risk in T2D patients prescribed metformin. We conducted a retrospective cohort study using a territory-wide electronic healthcare database, retrieving adult patients (≥18 years) with T2D who initiated metformin between 2015 and 2022. The index date was the first metformin prescription during the study period. Patients were observed until PC, pancreatectomy, death, or study end date (December 31, 2022). Exclusion criteria included prior history of PC, IgG4 disease, pancreatectomy, or fewer than two HbA1c measurements during follow-up. The outcome and exposure of interest was PC and SGLT-2i use (including dapagliflozin, empagliflozin, canagliflozin and ertugliflozin), respectively. SGLT-2i exposure was defined as continuous use during 90-day entry period following the index date. Cox proportional hazards model with propensity score (PS) matching (1:2) on 28 covariates – age, sex, smoking, alcohol use, body mass index (BMI), diabetes duration and complications, glycemic control (in terms of time-weighted mean HbA1c), history of pancreatitis and cholangitis, comorbidities, and concomitant medication use (aspirin, statins, and other antidiabetic medications) – were used to estimate hazard ratios (HRs). Sensitivity analysis by treating medication use as time-varying variable was conducted to address immortal time bias.

Results

Among 144,468 matched patients (mean age:59.3±11.2 years; male:58.3%; 48,156 SGLT-2i users and 96,312 SGLT-2i non-users), 441 (0.31%) developed PC during a mean follow-up of 6.6±2.0years. The mean duration of SGLT-2i use was 2.1±1.6 years. SGLT-2i use was associated with lowered PC risk (aHR:0.43; 95% CI:0.34-0.55), irrespective of empagliflozin (aHR0.43; 95%CI: 0.33-0.57) or dapagliflozin use (aHR:0.33; 95% CI:0.22-0.49). When drug use was modelled as time-varying variables, the protective effect remained significant (aHR:0.35; 95% CI:0.15-0.78). Furthermore, a dose- and duration-dependent relationship was observed. The aHR was 0.88 (95% CI:0.84-0.92) per 100-cumulative defined daily dose (cDDD) increase in use, and 0.66 (95% CI:0.59-0.75) per 1-year increase in use. Subgroup analysis showed beneficial effects persistent regardless of age (cutoff of 65 years), sex, BMI (cutoff of 25 kg/m²), diabetes complications, usage of other medications (aspirin, statins, and insulin).

Conclusion

SGLT-2i use was associated with a lower risk of PC in a dose- and duration-dependent manner, which was independent of glycemic control, among T2D patients treated with metformin. These findings provide insights into informing the choice of second-line anti-diabetic drug in lowering PC risk in T2D metformin users.

Introduction

The use of contrast-enhanced endoscopic ultrasound (CE-EUS) for characterizing solid pancreatic masses has improved diagnostic capabilities. We aimed to evaluate the performance of an artificial intelligence (AI)-powered system for differential diagnosis of pancreatic adenocarcinoma using CE-EUS.

Aims & Methods

The methodology integrates advanced imaging analysis and machine learning (ML) to develop an automated framework for pancreatic tumor characterization using EUS. A convolutional neural network (CNN) is first trained on labeled non-contrast EUS images to detect and segment the pancreas and tumor regions accurately. Once trained, the CNN is applied to new cases, identifying regions of interest (ROIs) in the non-contrast images, which are subsequently mapped onto the corresponding contrast-enhanced images for further analysis. Time-Intensity Curve (TIC) analysis was performed on the mapped ROIs, extracting a comprehensive set of quantitative parameters describing contrast enhancement dynamics. These parameters include temporal metrics (e.g., time to peak, rise time), intensity measures (e.g., peak intensity, wash-in intensity), slopes (e.g., wash-in and wash-out rates), area-based metrics (e.g., area under the curve), and perfusion-related characteristics (e.g., perfusion index, blood flow). The extracted TIC parameters are then used to train a feedforward neural network (FNN), which learns to differentiate diagnostic categories based on the perfusion characteristics of the lesions. In the final integrated model, the CNN detects pancreas and tumor regions, maps them to contrast-enhanced images, computes TIC parameters, and feeds these into the FNN to provide automated diagnostic predictions.

Results

Retrospective analysis was performed on a prospectively collected dataset of 120 CE-EUS videos obtained from patients with solid pancreatic masses in 3 tertiary referral centers. The dataset included 88 pancreatic adenocarcinomas, 1 lymphoma, 4 metastatic lesions, 10 neuroendocrine neoplasms (G1/G2), 15 cases of chronic pancreatitis, and 2 solid pseudopapillary neoplasms (SPNs). Diagnostic performance was evaluated by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy. Based on CNN analysis, both precision and recall were also calculated. The AI-powered CE-EUS system achieved high diagnostic performance, with an accuracy of over 95% for the diagnosis of pancreatic adenocarcinoma. Precision and recall were also excellent for differentiating adenocarcinoma from other pancreatic lesions based on CNN analysis.

Conclusion

This novel AI-based approach using CE-EUS reliably distinguished pancreatic adenocarcinoma from other solid pancreatic masses. Real-time analysis of time-intensity curve parameters enhances diagnostic accuracy and offers a promising adjunct to traditional EUS methods. Further prospective validation is warranted to confirm these findings and explore clinical applicability.

References

1. Săftoiu A, Vilmann P, Bhutani MS, Hassan H, Hawes R, Dietrich CF, et al. Enhanced endoscopic ultrasound imaging for pancreatic lesions: A review.
World J Gastrointest Endosc. 2022 Jul 16;14(7):369–84. doi:10.4253/wjge.v14.i7.369 PMID: 35967758; PMCID: PMC9367228.
2. Liang T, Zhang H, Wang Y, Sun Y, Ma K, Liu W, et al. Artificial intelligence-assisted endoscopic ultrasound for detection of pancreatic lesions: A systematic review and meta-analysis. World J Gastroenterol. 2023 Feb 21;29(7):1150–1164. doi:10.3748/wjg.v29.i7.1150 PMID: 36849883; PMCID: PMC10720860.

Introduction

Autoimmune pancreatitis (AIP) is a rare, immune-mediated form of chronic pancreatitis, classified into three subtypes. Type 1 AIP, the pancreatic manifestation of IgG4-related disease, often presents with multisystem involvement and frequent relapse (1,2). Type 2 AIP is pancreas-limited, tends to affect younger individuals, and is commonly associated with inflammatory bowel disease (IBD) (2,3). A third form—checkpoint inhibitor-related pancreatitis (CIP or Type 3 AIP)—has been recently described in patients receiving immune checkpoint inhibitors, typically asymptomatic but may result in pancreatic atrophy (4).
Precise subtyping is critical due to differences in clinical behavior, relapse risk, and treatment response (1,2,3). We present a single-center series comparing clinical, radiologic, and histopathologic characteristics of Type 1 and Type 2 AIP.

Aims & Methods

We retrospectively reviewed 20 patients diagnosed with AIP between 2020–2024 at a tertiary center. Classification followed International Consensus Diagnostic Criteria (1). Diagnostic evaluation included endoscopic ultrasound (EUS), serum IgG4 levels, and contrast-enhanced CT/MRI/MRCP (1,2). EUS-guided fine-needle biopsy (FNB) was performed where malignancy could not be excluded. Histopathology differentiated lymphoplasmacytic sclerosing pancreatitis (LPSP, Type 1) from idiopathic duct-centric pancreatitis (IDCP, Type 2) (2). Data on extra-pancreatic involvement, steroid response, and relapse were collected.

Results

Fifteen patients were diagnosed with Type 1 AIP and five with Type 2. Type 1 patients had a mean age of 63 years and were predominantly male (80%). Obstructive jaundice was the most common presentation. All had elevated serum IgG4. EUS revealed diffusely hyperechoic parenchyma and long-segment ductal narrowing. Histology confirmed LPSP. Extra-pancreatic involvement was observed in 60%, most commonly IgG4 cholangitis. All responded to corticosteroids; 40% relapsed within one year and received rituximab (5).
Type 2 patients had a mean age of 38, with equal gender distribution. Presenting symptoms included abdominal pain and acute pancreatitis. Serum IgG4 was normal in all cases. EUS revealed focal hypoechoic lesions with short-segment narrowing. Histology confirmed IDCP. Two patients (40%) had ulcerative colitis. All achieved remission with steroids, and no relapses were observed (2,3).

Conclusion

This series emphasizes the distinct clinical courses of AIP subtypes. Type 1 AIP represents a systemic IgG4-related disease with high relapse risk, often requiring long-term immunosuppression (5). Type 2 AIP affects younger patients, remains confined to the pancreas, and shows sustained remission after steroid therapy (2,3). Accurate classification using EUS, MRCP, IgG4, and histology is crucial for appropriate management and long-term outcomes (1,2).

References

1. Hart PA, Zen Y, Chari ST. Recent Advances in Autoimmune Pancreatitis. Gastroenterology. 2015;149(1):39–51.

2. de Pretis N, Crinò SF, Amodio A, et al. Type 2 autoimmune pancreatitis: Clinical features and long-term follow-up in an Italian cohort. United European Gastroenterol J. 2024;12(1):50–59.
   

3. Lohr JM, Dominguez-Munoz E, Rosendahl J, et al. United European Gastroenterology evidence-based guidelines for the diagnosis and therapy of chronic pancreatitis (HaPanEU). United European Gastroenterol J.2017;5(2):153–199.

4. Lamarca A, Dhani N, Hubner RA, et al. Immune checkpoint inhibitor-induced autoimmune pancreatitis (Type 3 AIP): Emerging entity with distinct features. Ann Oncol. 2023;34(3):385–393.
   

5. Ghazale A, Chari ST, Zhang L, et al. Treatment of relapsing autoimmune pancreatitis with immunomodulators and rituximab: The Mayo Clinic experience. Clin Gastroenterol Hepatol. 2012;10(6):640–646.

Introduction

Alcohol-induced acute pancreatitis (AP) is a common form of AP, while alcoholic hepatitis (AH) is a severe complication of alcoholic liver disease. Maléth et al. demonstrated that ethanol and fatty acids reduce cystic fibrosis transmembrane conductance regulator (CFTR) expression and activity, worsening alcohol-induced AP. Previously, we showed that ethanol and fatty acids disturb the CFTR-PMCA interaction, leading to disruped intracellular Ca²⁺ balance, exacerbating pancreatitis and potentially hepatitis. Previously Berrocal et al. described that MB reverses the inhibitory effect of Tau on PMCA, suggesting that its beneficial effect is based on the preservation of endogenous Ca²⁺-ATPase activity. Methylene blue (MB) is known for its antioxidant and mitochondrial protective properties, which can also influence intracellular Ca²⁺ regulation. Here we hypothesize that potentiating PMCA with methylene blue could have a protective effect in alcohol-induced AP and AH.

Aims & Methods

This study investigates MB’s effect on alcohol-induced AP severity and its underlying protective mechanisms in alcohol-related diseases. The effects of MB were assessed in mouse pancreatic (MPO), mouse liver (MLO), and human pancreatic ductal organoid (HPO) cultures. Microfluorimetric measurements were performed using an inverted fluorescence microscope. The polarized expression of ion channels was analyzed via immunofluorescence (IF). Gene expression changes were examined using qPCR, while mitochondrial membrane potential was assessed with TMRM and JC-10 staining. Cytotoxicity was evaluated using the CellTiter-Glo® 3D assay. Alcohol-induced AP and AH were modeled in wild-type FVB/N mice. AP was induced by repeated ethanol (EtOH) and palmitoleic acid (POA) injections, while AH was provoked using a 5% ethanol-fed Lieber-DeCarli diet.

Results

Fluorescent Ca²⁺ measurements showed that MB significantly potentiated PMCA activity following EtOH and PA exposure in MPOs, MLOs, and HPOs compared to EtOH-PA-treated groups. Mitochondrial membrane potential measurements confirmed MB’s protective effect. Gene expression analysis revealed no significant differences in CFTR, PMCA4, or ORAI1 expression between EtOH-PA and MB-treated groups. IF staining of PMCA4 demonstrated a defined apical localization in EtOH-PA + MB-treated groups. In experimental AH, MB’s effects were evaluated using Oil Red O and Trichrome staining, along with serum ALAT, ASAT, and triglyceride (TG) levels. In alcohol-induced AP, MB treatment significantly reduced serum amylase levels, oedema, leukocyte infiltration, and necrosis scores compared to the EtOH-POA group.

Conclusion

MB treatment mitigates the harmful effects of EtOH and PA exposure by enhancing PMCA activity, preserving mitochondrial function, and promoting PMCA4’s apical localization. Although no significant changes were observed in CFTR, PMCA4, or ORAI1 gene expression, histological and biochemical analyses highlight MB’s potential in alleviating alcohol-induced AP, as evidenced by reduced oedema, leukocyte infiltration, necrosis scores, and serum amylase levels. These findings suggest MB as a promising therapeutic candidate for protecting cellular and mitochondrial integrity in alcohol-related diseases.

Disclosure

I declare no conflict of interest