Objective: Desmoplasia and hypovascularity are thought to impede drug delivery in pancreatic ductal adenocarcinoma (PDAC). However, stromal depletion approaches have failed to show clinical responses in patients. Here, we aimed to revisit the role of the tumour microenvironment as a physical barrier for gemcitabine delivery.Design: Gemcitabine metabolites were analysed in LSL-Kras^G12D/+; LSL-Trp53^R172H/+; Pdx-1-Cre (KPC) murine tumours and matched liver metastases, primary tumour cell lines, cancer-associated fibroblasts (CAFs) and pancreatic stellate cells (PSCs) by liquid chromatography-mass spectrometry/mass spectrometry. Functional and preclinical experiments, as well as expression analysis of stromal markers and gemcitabine metabolism pathways were performed in murine and human specimen to investigate the preclinical implications and the mechanism of gemcitabine accumulation.Results: Gemcitabine accumulation was significantly enhanced in fibroblast-rich tumours compared with liver metastases and normal liver. In vitro, significantly increased concentrations of activated 2′,2′-difluorodeoxycytidine-5′-triphosphate (dFdCTP) and greatly reduced amounts of the inactive gemcitabine metabolite 2′,2′-difluorodeoxyuridine were detected in PSCs and CAFs. Mechanistically, key metabolic enzymes involved in gemcitabine inactivation such as hydrolytic cytosolic 5′-nucleotidases (Nt5c1A, Nt5c3) were expressed at low levels in CAFs in vitro and in vivo, and recombinant expression of Nt5c1A resulted in decreased intracellular dFdCTP concentrations in vitro. Moreover, gemcitabine treatment in KPC mice reduced the number of liver metastases by >50%.Conclusions: Our findings suggest that fibroblast drug scavenging may contribute to the clinical failure of gemcitabine in desmoplastic PDAC. Metabolic targeting of CAFs may thus be a promising strategy to enhance the antiproliferative effects of gemcitabine.

Background: Severe acute pancreatitis (AP) continues to be a serious gastrointestinal disease with relevant morbidity and mortality. Summary: Successful clinical management requires close interdisciplinary cooperation and coordination from experienced gastroenterologists, intensive care physicians, surgeons, and radiologists. While the early phase of the disease is characterized by intensive care aspects that focus primarily on treatment of organ failure, later complications are characterized especially by (infected) necrotic collections. Here, we discuss current clinical standards and developments for conservative and interventional management of patients with severe AP. Key messages: Early targeted fluid therapy within the first 48 h is critical to improve the outcome of severe AP. Thoracic epidural analgesia may have prognostically beneficial effects due to suspected anti-inflammatory effects and increased perfusion of splanchnic vessels. Enteral feeding should be started early during severe AP. Persistent organ failure (>48 h) is the strongest predictor of poor prognosis, and local complications such as infected walled-off necrosis should be primarily treated by minimally invasive endoscopic step-up approaches that are usually superior to surgical therapy options.

Objective Early disease prediction is challenging in acute pancreatitis (AP). Here, we prospectively investigate whether the microbiome predicts severity of AP (Pancreatitis—Microbiome As Predictor of Severity; P-MAPS) early at hospital admission. Design Buccal and rectal microbial swabs were collected from 424 patients with AP within 72 hours of hospital admission in 15 European centres. All samples were sequenced by full-length 16S rRNA and metagenomic sequencing using Oxford Nanopore Technologies. Primary endpoint was the association of the orointestinal microbiome with the revised Atlanta classification (RAC). Secondary endpoints were mortality, length of hospital stay and severity (organ failure >48 hours and/or occurrence of pancreatic collections requiring intervention) as post hoc analysis. Multivariate analysis was conducted from normalised microbial and corresponding clinical data to build classifiers for predicting severity. For functional profiling, gene set enrichment analysis (GSEA) was performed and normalised enrichment scores calculated. Results After data processing, 411 buccal and 391 rectal samples were analysed. The intestinal microbiome significantly differed for the RAC (Bray-Curtis, p value=0.009), mortality (Bray-Curtis, p value 0.006), length of hospital stay (Bray-Curtis, p=0.009) and severity (Bray-Curtis, p value=0.008). A classifier for severity with 16 different species and systemic inflammatory response syndrome achieved an area under the receiving operating characteristic (AUROC) of 85%, a positive predictive value of 67% and a negative predictive value of 94% outperforming established severity scores. GSEA revealed functional pathway units suggesting elevated short-chain fatty acid (SCFA) production in severe AP. Conclusions The orointestinal microbiome predicts clinical hallmark features of AP, and SCFAs may be used for future diagnostic and therapeutic concepts. Trial registration number NCT04777812.

Objectives: Non-alcoholic fatty liver disease (NAFLD) can persist in the stage of simple hepatic steatosis or progress to steatohepatitis (NASH) with an increased risk for cirrhosis and cancer. We examined the mechanisms controlling the progression to severe NASH in order to develop future treatment strategies for this disease. Design: NFATc1 activation and regulation was examined in livers from patients with NAFLD, cultured and primary hepatocytes and in transgenic mice with differential hepatocyte-specific expression of the transcription factor ( Alb-cre, NFATc1 ^c.a . and NFATc1 ^Δ/Δ ). Animals were fed with high-fat western diet (WD) alone or in combination with tauroursodeoxycholic acid (TUDCA), a candidate drug for NAFLD treatment. NFATc1-dependent ER stress-responses, NLRP3 inflammasome activation and disease progression were assessed both in vitro and in vivo. Results: NFATc1 expression was weak in healthy livers but strongly induced in advanced NAFLD stages, where it correlates with liver enzyme values as well as hepatic inflammation and fibrosis. Moreover, high-fat WD increased NFATc1 expression, nuclear localisation and activation to promote NAFLD progression, whereas hepatocyte-specific depletion of the transcription factor can prevent mice from disease acceleration. Mechanistically, NFATc1 drives liver cell damage and inflammation through ER stress sensing and activation of the PERK-CHOP unfolded protein response (UPR). Finally, NFATc1-induced disease progression towards NASH can be blocked by TUDCA administration. Conclusion: NFATc1 stimulates NAFLD progression through chronic ER stress sensing and subsequent activation of terminal UPR signalling in hepatocytes. Interfering with ER stress-responses, for example, by TUDCA, protects fatty livers from progression towards manifest NASH.

The aim of our study was to evaluate the diagnostic accuracy of B-Mode ultrasound and Hepatorenal Index (HRI) by high-end devices for the detection and classification of hepatic steatosis in patients with various causes of chronic liver disease (CLD). We retrospectively enrolled patients with CLD who underwent liver biopsy and baseline ultrasound between March 2016 and May 2019. Sonographic graduation of steatosis (0°-III°) using B-Mode criteria and HRI were correlated with the histological graduation (S0 (33–66%) and S3 (>66%). Interobserver agreement was calculated. 157 patients were evaluated. B-Mode ultrasound had a sensitivity of 75.6% and a specificity of 76.0% to differentiate between steatosis and no steatosis (AUROC 0.758). Using B-Mode criteria for advanced steatosis (≥II°), specificity for presence of histological steatosis was ≥98.7%. For detection of advanced steatosis (≥S2), sensitivity of B-mode criteria was 90.9%. In a subgroup of patients with advanced liver fibrosis, sensitivity of B-mode criteria was 95.0% for detection of advanced steatosis (S≥2). A HRI cut-off-value of 1.46 differentiates between patients with steatosis and patients without steatosis with a sensitivity of 42.7% and a specificity of 90.7% (AUROC 0.680). Interobserver agreement of both B-Mode and HRI was good to excellent. B-Mode ultrasound using high-end devices is an excellent method to detect advanced steatosis in patients with various CLD. For diagnosis of mild steatosis, modern ultrasound devices may have higher sensitivity but at the expense of specificity. Stage of fibrosis and etiology of CLD seem not to impact on diagnostic accuracy. The additional calculation of HRI seems to have no additional benefit with regard to detect or grade hepatic steatosis in our study population.