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BackgroundNon-alcoholic fatty liver disease (NAFLD) is a fast-growing, underdiagnosed, epidemic. We hypothesise that obesity-related inflammation compromises adipose tissue functions, preventing efficient fat storage, and thus driving ectopic fat accumulation into the liver.MethodsTo identify adipose-based mechanisms and potential serum biomarker candidates (SBCs) for NAFLD, we utilise dual-tissue RNA-sequencing (RNA-seq) data in adipose tissue and liver, paired with histology-based NAFLD diagnosis, from the same individuals in a cohort of obese individuals. We first scan for genes that are differentially expressed (DE) for NAFLD in obese individuals' subcutaneous adipose tissue but not in their liver; encode proteins secreted to serum; and show preferential adipose expression. Then the identified genes are filtered to key adipose-origin NAFLD genes by best subset analysis, knockdown experiments during human preadipocyte differentiation, recombinant protein treatment experiments in human liver HepG2 cells, and genetic analysis.FindingsWe discover a set of genes, including 10 SBCs, that may modulate NAFLD pathogenesis by impacting adipose tissue function. Based on best subset analysis, we further follow-up on two SBCs CCDC80 and SOD3 by knockdown in human preadipocytes and subsequent differentiation experiments, which show that they modulate crucial adipogenesis genes, LPL, SREBPF1, and LEP. We also show that treatment of the liver HepG2 cells with the CCDC80 and SOD3 recombinant proteins impacts genes related to steatosis and lipid processing, including PPARA, NFE2L2, and RNF128. Finally, utilizing the adipose NAFLD DE gene cis-regulatory variants associated with serum triglycerides (TGs) in extensive genome-wide association studies (GWASs), we demonstrate a unidirectional effect of serum TGs on NAFLD with Mendelian Randomization (MR) analysis. We also demonstrate that a single SNP regulating one of the SBC genes, rs2845885, produces a significant MR result by itself. This supports the conclusion that genetically regulated adipose expression of the NAFLD DE genes may contribute to NAFLD through changes in serum TG levels.InterpretationOur results from the dual-tissue transcriptomics screening improve the understanding of obesity-related NAFLD by providing a targeted set of 10 adipose tissue-active genes as new serum biomarker candidates for the currently grossly underdiagnosed fatty liver disease.FundingThe work was supported by NIH grants R01HG010505 and R01DK132775. The Genotype-Tissue Expression (GTEx) Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS. The KOBS study (J. P.) was supported by the Finnish Diabetes Research Foundation, Kuopio University Hospital Project grant (EVO/VTR grants 2005-2019), and the Academy of Finland grant (Contract no. 138006). This study was funded by the European Research Council under the European Union's Horizon 2020 research and innovation program (Grant No. 802825 to M. U. K.). K. H. P. was funded by the Academy of Finland (grant numbers 272376, 266286, 314383, and 335443), the Finnish Medical Foundation, Gyllenberg Foundation, Novo Nordisk Foundation (grant numbers NNF10OC1013354, NNF17OC0027232, and NNF20OC0060547), Finnish Diabetes Research Foundation, Finnish Foundation for Cardiovascular Research, University of Helsinki, and Helsinki University Hospital and Government Research Funds. I. S. was funded by the Instrumentarium Science Foundation. Personal grants to U. T. A. were received from the Matti and Vappu Maukonen Foundation, Ella och Georg Ehrnrooths Stiftelse and the Finnish Foundation for Cardiovascular Research.

Vasoactive intestinal peptide (VIP) and pituitary adenylate cyclase-activating peptide (PACAP) receptors (nomenclature as agreed by the NC-IUPHAR Subcommittee on Vasoactive Intestinal Peptide Receptors [65, 66]) are activated by the endogenous peptides VIP, PACAP-38, PACAP-27, peptide histidine isoleucineamide (PHI), peptide histidine methionineamide (PHM) and peptide histidine valine (PHV). VPAC1 and VPAC2 receptors display comparable affinity for the PACAP peptides, PACAP-27 and PACAP-38, and VIP, whereas PACAP-27 and PACAP-38 are >100 fold more potent than VIP as agonists of most isoforms of the PAC1 receptor. However, one splice variant of the human PAC1 receptor has been reported to respond to PACAP-38, PACAP-27 and VIP with comparable affinity [30]. PG 99-465 [117] has been used as a selective VPAC2 receptor antagonist in a number of physiological studies, but has been reported to have significant activity at VPAC1 and PAC1 receptors [36]. The selective PAC1 receptor agonist maxadilan, was extracted from the salivary glands of sand flies (Lutzomyia longipalpis) and has no sequence homology to VIP or the PACAP peptides [118]. Two deletion variants of maxadilan, M65 [183] and Max.d.4 [119] have been reported to be PAC1 receptor antagonists, but these peptides have not been extensively characterised.

BackgroundHepatocellular carcinoma (HCC) is rapidly increasing in the U.S. and is a leading cause of mortality for patients with cirrhosis. Discovering novel biomarkers for risk stratification of HCC is paramount. We examined biomarkers of the gut-liver axis in a prospective multicenter cohort.MethodsPatients with cirrhosis without a history of HCC were recruited between May 2015 and March 2020 and prospectively followed at 3 tertiary care hospitals in Los Angeles. Microbiome analysis was performed on duodenal biopsies and metabolomic analysis was performed on serum samples, collected at the time of enrollment. Optimal microbiome-based survival analysis and Cox proportional hazards regression analysis were used to determine microbiota and metabolite associations with HCC development, respectively.ResultsA total of 227 participants with liver cirrhosis contributed a total of 459.58 person-years of follow-up, with 14 incident HCC diagnoses. Male sex (HR = 7.06, 95% CI = 1.02-54.86) and baseline hepatic encephalopathy (HE, HR = 4.65, 95% CI = 1.60-13.52) were associated with developing HCC over follow-up. Adjusting for age, sex, baseline HE, and alkaline phosphatase, an increased risk of HCC were observed for participants with the highest versus lowest three quartiles for duodenal Alloprevotella (HR = 3.22, 95% CI = 1.06-9.73) and serum taurocholic acid (HR = 6.87, 95% CI = 2.32-20.27), methionine (HR = 9.97, 95% CI = 3.02-32.94), and methioninesulfoxide (HR = 5.60, 95% CI = 1.84-17.10). Being in the highest quartile for Alloprevotella or methionine had a sensitivity and specificity for developing HCC of 85.71% and 60.56%, respectively, with an odds ratio of 10.92 (95% CI = 2.23-53.48).ConclusionAlloprevotella and methionine, methioninesulfoxide, and taurocholic acid predicted future HCC development in a high-risk population of participants with liver cirrhosis.

Background The effect of gender affirming hormone therapy (GAHT) on clinical laboratory parameters, including levels of liver enzymes alanine aminotransferase (ALT) and aspartate transaminase (AST), is an area of uncertainty in transgender health. Aim We sought to estimate the distribution parameters of liver enzyme levels among transmasculine (TM) and transfeminine (TF) persons receiving GAHT relative to the corresponding measures in cisgender reference groups, and to evaluate longitudinal changes in these laboratory measures following GAHT initiation. Methods The data for this longitudinal study included 624 TF and 438 transmasculine (TM) people as well as 4,090 cisgender males and 4,797 cisgender females enrolled in 3 integrated health systems. Time under observation was divided into 2 intervals: from the first blood test to the date of the first filled GAHT prescription and from GAHT initiation to the most recent ALT or AST measurement. Linear mixed models were used to compare changes in log-transformed ALT and AST values among transgender cohort members before and after GAHT initiation, and relative to the reference groups. The results were expressed as relative differences (in %) and the ratios of these differences (ratios-of-ratios) along with the 95% confidence intervals (CIs). Outcomes Changes in ALT and AST levels among transgender people over time and relative to the corresponding changes in cisgender referents. RESULTS Among TM study participants, the post GAHT ratios-of-ratios for AST were 1.61 (95% CI: 1.13, 2.31) and 1.57 (95% CI: 1.06, 2.31) relative to cisgender males and females respectively. For ALT, the corresponding comparisons yielded the ratios-of-ratios (95% CIs) of 2.06 (1.67, 2.54) and 1.90 (1.50, 2.40). No statistically significant changes were observed among TF participants. Other factors associated with higher liver enzyme levels included alcohol use/abuse and obesity. Clinical Implications TM persons may experience modest increases in ALT and AST concentrations following testosterone initiation; however, clinical significance of the observed association remains unclear and requires further investigation. By contrast, feminizing GAHT is unlikely to induce appreciable changes in liver enzyme levels. Strength and Limitations The strengths of this study are the longitudinal design and the ability to assemble an unselected cohort nested within large health systems. The main limitations include the lack of information on hormone levels and the inability to take into account GAHT doses and routes of administration. CONCLUSION The influence of long-term GAHT on ALT and AST levels appears modest and not likely to reflect clinically meaningful changes in liver function.

OBJECTIVESThere is currently no widely accepted approach to screening for pancreatic cancer (PC). We aimed to develop and validate a risk prediction model for PC across two health systems using electronic health records (EHR).METHODSThis retrospective cohort study consisted of patients 50-84 years of age meeting utilization criteria in 2008-2017 at Kaiser Permanente Southern California (KPSC, model training, internal validation) and the Veterans Affairs (VA, external validation). ‘Random survival forests’ models were built to identify the most relevant predictors from >500 variables and to predict PC within 18 months of cohort entry. A prospective study was then conducted in KPSC to assess feasibility of the model for real-time implementation.RESULTSThe KPSC cohort consisted of 1.8 million patients (mean age 61.6) with 1,792 PC cases. The estimated 18-month incidence rate of PC was 0.77 (95% CI 0.73-0.80)/1,000 person-years. The three models containing age, abdominal pain, weight change and two laboratory biomarkers (ALT change/HgA1c, rate of ALT change/HgA1c, or rate of ALT change/rate of HgA1c change) had comparable discrimination and calibration measures (c-index: mean=0.77, SD=0.01-0.02; calibration test: p-value 0.2-0.4, SD 0.2-0.3). The VA validation cohort consisted of 2.6 million patients (mean age 66.1) with an 18-month incidence rate of 1.27 (1.23-1.30). A total of 606 patients were screened in the prospective pilot study at KPSC with 9 patients (1.5%) diagnosed with a pancreatic or biliary cancer.CONCLUSIONSUsing widely available parameters in EHR, we developed a population-based parsimonious model for early detection of sporadic PC suitable for real-time application.Study HighlightsWhat Is KnownPatients with pancreatic cancer are often diagnosed at late stages.Early detection is needed to impact the natural history of disease progression and improve patient survival.What Is New HereMachine-learning was used to develop a population-based model for early detection of pancreatic cancer. The model was internally and externally validated in cohorts of 1.8 million and 2.6 million individuals, respectively.Calibration was excellent in prospective pilot testing for detection of pancreatic malignancy.

There is currently no widely accepted approach to screening for pancreatic cancer (PC). We aimed to develop and validate a risk prediction model for pancreatic ductal adenocarcinoma (PDAC), the most common form of PC, across 2 health systems using electronic health records.This retrospective cohort study consisted of patients aged 50-84 years having at least 1 clinic-based visit over a 10-year study period at Kaiser Permanente Southern California (model training, internal validation) and the Veterans Affairs (VA, external testing). Random survival forests models were built to identify the most relevant predictors from500 variables and to predict risk of PDAC within 18 months of cohort entry.The Kaiser Permanente Southern California cohort consisted of 1.8 million patients (mean age 61.6) with 1,792 PDAC cases. The 18-month incidence rate of PDAC was 0.77 (95% confidence interval 0.73-0.80)/1,000 person-years. The final main model contained age, abdominal pain, weight change, HbA1c, and alanine transaminase change (c-index: mean = 0.77, SD = 0.02; calibration test: P value 0.4, SD 0.3). The final early detection model comprised the same features as those selected by the main model except for abdominal pain (c-index: 0.77 and SD 0.4; calibration test: P value 0.3 and SD 0.3). The VA testing cohort consisted of 2.7 million patients (mean age 66.1) with an 18-month incidence rate of 1.27 (1.23-1.30)/1,000 person-years. The recalibrated main and early detection models based on VA testing data sets achieved a mean c-index of 0.71 (SD 0.002) and 0.68 (SD 0.003), respectively.Using widely available parameters in electronic health records, we developed and externally validated parsimonious machine learning-based models for detection of PC. These models may be suitable for real-time clinical application.

INTRODUCTION: In hepatitis C (HCV) patients, obesity and/or diabetes may increase the risk of liver-related outcomes. We aimed to determine if diabetes and/or obesity are associated with adverse outcomes in direct acting antiviral (DAA)-treated HCV patients. METHODS: We conducted a retrospective study of 33,003 HCV-infected, DAA-treated Veterans between 2013–2015. Body mass index was used to categorize patients into underweight (35kg/m(2)). Diabetes was defined by ICD-9/10 codes in association with hemoglobin A1c>6.5% or medication prescriptions. Patients were followed from 180 days post-DAA initiation until 2/14/2019 to assess for development of cirrhosis, decompensations, hepatocellular carcinoma (HCC) and death. Multivariable Cox proportional hazards regression models were used to determine the association between diabetes and/or obesity and outcomes. RESULT: During a mean follow-up of 3 years, 10.1% patients died, 5.0% were newly diagnosed with cirrhosis, 4.7% had a decompensation and 4.0% developed HCC. Diabetes was associated with an increased risk of mortality (AHR=1.25, 95%CI 1.10–1.42), cirrhosis (AHR=1.31, 95%CI 1.16–1.48), decompensation (AHR=1.74, 95%CI 1.31–2.31), and HCC (AHR=1.32, 95%CI 1.01–1.72) among patients without baseline cirrhosis. Compared to normal-weight persons, obese persons had a higher risk of cirrhosis, but overweight and obese persons had lower risk of mortality and HCC. CONCLUSION: In this large DAA-treated Veterans cohort, pre-DAA diabetes increases mortality and liver-related events independent of SVR. Continued vigilance is warranted in patients with diabetes despite SVR. Elevated BMI categories appear to have improved outcomes, although further studies are needed to understand those associations.

Incidental tracer uptake on DOTATATE PET is increasingly encountered in clinical practice. We describe 3 patients with suspected or known neuroendocrine tumor who were found to have diffuse and intense stomach uptake on DOTATATE PET. All patients underwent esophagogastroduodenoscopy and/or endoscopic ultrasound; the cause of the stomach uptake was attributed to proton-pump inhibitor use, chronic gastritis, and gastrinoma, respectively. These 3 cases highlight that diffuse and intense stomach DOTATATE uptake can be a benign finding probably attributed to proton-pump inhibitor use, chronic gastritis, or gastrinoma.

Background: Worsening glycemic control indicates elevated risk of pancreatic ductal adenocarcinoma (PDAC). We developed prediction models for PDAC among those with worsening glycemic control after diabetes diagnosis. Methods: In 2000–2016 records within the Veterans Affairs Health System (VA), we identified three cohorts with progression of diabetes: (i) insulin initiation (n = 449,685), (ii) initiation of combination oral hypoglycemic medication (n = 414,460), and (iii) hemoglobin A1c (HbA1c) ≥8% with ≥Δ1% within 15 months (n = 593,401). We computed 12-, 36-, and 60-month incidence of PDAC and developed prediction models separately for males and females, with consideration of >30 demographic, behavioral, clinical, and laboratory variables. Models were selected to optimize Akaike's Information Criterion, and performance for predicting 12-, 36-, and 60-month incident PDAC was evaluated by bootstrap. Results: Incidence of PDAC was highest for insulin initiators and greater in males than in females. Optimism-corrected c-indices of the models for predicting 36-month incidence of PDAC in the male population were: (i) 0.72, (ii) 0.70, and (iii) 0.71, respectively. Models performed better for predicting 12-month incident PDAC [c-index (i) 0.78, (ii) 0.73, (iii) 0.76 for males], and worse for predicting 60-month incident PDAC [c-index (i) 0.69, (ii) 0.67, (iii) 0.68 for males]. Model performance was lower among females. For subjects whose model-predicted 36-month PDAC risks were ≥1%, the observed incidences were (i) 1.9%, (ii) 2.2%, and (iii) 1.8%. Conclusions: Sex-specific models for PDAC can estimate risk of PDAC at the time of progression of diabetes. Impact: Our models can identify diabetes patients who would benefit from PDAC screening.

The prevalence of nonalcoholic steatohepatitis (NASH) and liver cancer is increasing. De novo lipogenesis and fibrosis contribute to disease progression and cancerous transformation. Here, we found that β2-spectrin (SPTBN1) promotes sterol regulatory element (SRE)-binding protein (SREBP)-stimulated lipogenesis and development of liver cancer in mice fed a high-fat diet (HFD) or a western diet (WD). Either hepatocyte-specific knockout of SPTBN1 or siRNA-mediated therapy protected mice from HFD/WD-induced obesity, and fibrosis, lipid accumulation, and tissue damage in the liver. Biochemical analysis suggested that HFD/WD induces SPTBN1 and SREBP1 cleavage by CASPASE-3 and that the cleaved products interact to promote expression of genes with sterol response elements. Analysis of human NASH tissue revealed increased SPTBN1 and CASPASE-3 expression. Thus, our data indicate that SPTBN1 represents a potential target for therapeutic intervention in NASH and liver cancer.

AimThe microbiome has been shown to be pivotal in the development of metabolic associated fatty liver disease (MAFLD). Few have examined the relationship of the microbiome specifically with steatosis grade. Therefore, our aim was to characterize the association of the microbiome with MAFLD steatosis severity while adjusting for metabolic comorbidities including diabetes.MethodsWe enrolled patients with MAFLD at the West Los Angeles Veterans Affair Hospital. All patients underwent ultrasound elastography, fasting serum collection, and fecal sampling for 16S sequencing. We examined the associations of microbial diversity and composition with advanced steatosis, defined as a CAP score of ≥ 300 dB/m, with or without the presence of metabolic comorbidities.ResultsSeventy-five patients were enrolled. African American were less likely to have advanced steatosis than either Hispanics or Whites (P = 0.001). Patients with more advanced steatosis had higher fasting serum triglyceride (192.6 ± 157.1 mg/dL vs. 122.5 ± 57.4 mg/dL), HbA1c (6.7% ± 1.4% vs. 6.1% ± 0.8%), transaminases, and were more likely to have metabolic syndrome (52.4% vs. 24.2%, P = 0.02). Advanced steatosis and diabetes were associated with altered microbial composition. Bacteroides was negatively associated with advanced steatosis while Megasphaera was positively associated with steatosis. Akkermansia was negatively associated with diabetes, while Anaerostipes and Parabacteroides were positively associated with diabetes.ConclusionDiabetes and metabolic syndrome are associated with hepatic steatosis severity in MAFLD patients and both advanced steatosis and comorbid diabetes are independently associated with microbiome changes. These results provide insight into the role of the gut microbiome in MAFLD associated with metabolic syndrome.

The global obesity epidemic is driving the concomitant rise in nonalcoholic fatty liver disease (NAFLD). To identify new genes involved in central liver functions, we examined liver RNA‐sequence data from 259 patients who underwent morbidly obese bariatric surgery. Of these patients, 84 had normal liver histology, 40 simple steatosis, 43 nonalcoholic steatohepatitis, and the remaining 92 patients had varying degrees of NAFLD based on liver histology. We discovered oligodendrocyte maturation‐associated long intergenic noncoding RNA (OLMALINC), a long intervening noncoding RNA (lincRNA) in a human liver co‐expression network (n = 75 genes) that was strongly associated with statin use and serum triglycerides (TGs). OLMALINC liver expression was highly correlated with the expression of known cholesterol biosynthesis genes and stearoyl‐coenzyme A desaturase (SCD). SCD is the rate‐limiting enzyme in monounsaturated fatty acids and a key TG gene that is known to be up‐regulated in liver steatosis and NAFLD and resides adjacent to OLMALINC on the human chromosome 10q24.31. Next, we functionally demonstrated that OLMALINC regulates SCD as an enhancer‐RNA (eRNA), thus describing the first lincRNA that functions as an eRNA to regulate lipid metabolism. Specifically, we show that OLMALINC promotes liver expression of SCD in cis through regional chromosomal DNA–DNA looping interactions. Conclusion: The primate‐specific lincRNA OLMALINC is a novel epigenetic regulator of the key TG and NAFLD gene SCD.

Characteristic features of chronic pancreatitis (CP) may be absent on standard imaging studies. Quantitative Magnetic Resonance Imaging (MRI) techniques such as T(1) mapping, extracellular volume (ECV) fraction, diffusion-weighted imaging (DWI) with apparent diffusion coefficient map (ADC), MR elastography (MRE), and T(1)-weighted signal intensity ratio (SIR) have shown promise for the diagnosis and grading severity of CP. However, radiologists still use the Cambridge classification which is based on traditional ductal imaging alone. There is an urgent need to develop new diagnostic criteria that incorporate both parenchymal and ductal features of CP seen by MRI/MRCP. Designed to fulfill this clinical need, we present the MINIMAP study, which was funded in September 2018 by the National Institutes of Health. This is a comprehensive quantitative MR imaging study which will be performed at multiple institutions in well-phenotyped CP patient cohorts. We hypothesize that quantitative MRI/MRCP features can serve as valuable non-invasive imaging biomarkers to detect and grade CP. We will evaluate the role of T(1) relaxometry, ECV, T(1)-weighted gradient echo SIR, MRE, arteriovenous enhancement ratio, ADC, pancreas volume/atrophy, pancreatic fat fraction, ductal features, and pancreatic exocrine output following secretin stimulation in the assessment of CP. We will attempt to generate a multi-parametric pancreatic tissue fibrosis (PTF) scoring system. We anticipate that a quantitative scoring system may serve as a biomarker of pancreatic fibrosis; hence this imaging technique can be used in clinical practice as well as clinical trials to evaluate the efficacy of agents which may slow the progression or reverse measures of CP.

Calcitonin gene-related peptide (CGRP) is a 37-amino acid neuropeptide expressed both centrally and peripherally. CGRP has been shown to be involved in arteriolar dilation, cardiovascular regulation, pain transmission, migraine, and gastrointestinal physiology. Our current research is aimed at analyzing CGRP’s impact on appetite/satiety, body metabolism, and energy homeostasis. Our study investigated the effects of a single-dose intraperitoneal (IP) treatment with CGRP on food and water consumption, energy expenditure, physical activity, respirometry, and a panel of plasma metabolic hormones in C57Bl/6 wild-type (WT) mice. After a CGRP IP injection at a dose of 2 nmol (10 μMCGRP in 200 μl of saline), a significant reduction in food intake and metabolic parameters as RQ, VCO(2), and VO(2) was observed. CGRP-injected mice had also significantly lower total energy expenditure (TEE) with no changes in activity levels compared to vehicle-injected controls. CGRP treatment in mice induced significantly lower plasma levels of glucagon and leptin but higher levels of amylin. Our data show that a single dose of CGRP peptide significantly decreased food consumption and altered calorimetric parameters and plasma metabolic hormone levels, thus confirming that CGRP plays a pivotal role in the regulation of appetite and metabolism. Future studies are necessary to analyze CGRP’s long-term impact on body metabolism and its potential effects on appetite, obesity, and metabolic disorders.

Background/Objectives Alcohol is the most common etiology of recurrent acute pancreatitis and chronic pancreatitis. The extent and timing of drinking that increases the transient risk of acute pancreatitis is yet unknown. Methods We designed a case-crossover study to determine the effective hazard period of drinking in relation to episodes of pancreatitis. We aim to evaluate the dose-response relationship between excess drinking and pancreatitis comparing the extent of drinking during case and control periods from the same individual. We aim to recruit 160 patients hospitalized with acute pancreatitis, whose AUDIT-C score reaches 3 or higher. Interviews of each enrolled patient to define their 15-day history of alcohol consumption employing the timeline follow-back method. Long-term drinking and smoking will be investigated as modifiers of the impact of short-term excess drinking. Patients are followed-up for evaluation of usual alcohol consumption during asymptomatic periods following the index hospitalization. Blood and urine specimens are collected while the patients are hospitalized and during a standard-of-care follow-up visit. Results We have recruited 31 patients to date, with a median age of 33 years. Females and non-White participants make up 26% and 35% of the enrolled population, respectively. Forty-eight % of patients have had a prior history of acute pancreatitis. Conclusions Our study will shed light on the impact of short-term changes in drinking on triggering acute pancreatitis. It will provide data on other covarying factors of drinking and behaviors changes after acute pancreatitis.

Shifts in the microbiome have been correlated with the physiology and pathophysiology of many organ systems both in humans and in mouse models. The gut microbiome has been typically studied through fecal specimen collections. The ease of obtaining fecal samples has resulted in many studies that have revealed information concerning the distal luminal gastrointestinal tract. However, few studies have addressed the importance of the microbiome in the proximal gut. Given that the duodenum is a major site for digestion and absorption, its microbiome is relevant to nutrition and liver disease and warrants further investigation. Here we detail a novel method for sampling the proximal luminal and mucosal gut microbiome in human subjects undergoing upper endoscopy by obtaining duodenal aspirate and biopsies. Specimen procurement is facile and unaffected by artifacts such as patient preparatory adherence, as might be the case in obtaining colonic samples during colonoscopy. The preliminary results show that the luminal and mucosal microbiomes differ significantly, which is likely related to environmental conditions and barrier functions. Therefore, a combination of duodenal aspirate and biopsies reveal a more comprehensive picture of the microbiome in the duodenum. Biopsies are obtained from the descending and horizontal segments of the duodenum, which are anatomically close to the liver and biliary tree. This is important in studying the role of bile acid biology and the gut-liver axis in liver disease. Biopsies and aspirate can be used for 16S ribosomal RNA sequencing, metabolomics, and other similar applications.

Single-nucleus RNA sequencing (snRNA-seq) measures gene expression in individual nuclei instead of cells, allowing for unbiased cell type characterization in solid tissues. Contrary to single-cell RNA seq (scRNA-seq), we observe that snRNA-seq is commonly subject to contamination by high amounts of extranuclear background RNA, which can lead to identification of spurious cell types in downstream clustering analyses if overlooked. We present a novel approach to remove debris-contaminated droplets in snRNA-seq experiments, called Debris Identification using Expectation Maximization (DIEM). Our likelihood-based approach models the gene expression distribution of debris and cell types, which are estimated using EM. We evaluated DIEM using three snRNA-seq data sets: 1) human differentiating preadipocytes in vitro, 2) fresh mouse brain tissue, and 3) human frozen adipose tissue (AT) from six individuals. All three data sets showed various degrees of extranuclear RNA contamination. We observed that existing methods fail to account for contaminated droplets and led to spurious cell types. When compared to filtering using these state of the art methods, DIEM better removed droplets containing high levels of extranuclear RNA and led to higher quality clusters. Although DIEM was designed for snRNA-seq data, we also successfully applied DIEM to single-cell data. To conclude, our novel method DIEM removes debris-contaminated droplets from single-cell-based data fast and effectively, leading to cleaner downstream analysis. Our code is freely available for use at https://github.com/marcalva/diem.

Hepatocellular carcinoma (HCC) is a leading cause of cancer‐related death worldwide. Society guidelines recommend surveillance with abdominal ultrasound with or without serum alpha‐fetoprotein every 6 months for adults at increased risk of developing HCC. However, adherence is often suboptimal. We assessed the feasibility of a coordinated telephone outreach program for unscreened patients with cirrhosis within the Veteran’s Affairs (VA) health care system. Using a patient care dashboard of advanced chronic liver disease in the VA Greater Los Angeles Healthcare System, we identified veterans with a diagnosis of cirrhosis, a platelet count ≤ 150,000/uL, and no documented HCC surveillance in the previous 8 months. Eligible veterans received a telephone call from a patient navigator to describe the risks and benefits of HCC surveillance. Orders for an abdominal ultrasound and alpha‐fetoprotein were placed for veterans who agreed to surveillance. Veterans who were not reached by telephone received an informational letter by mail to encourage participation. Of the 129 veterans who met the eligibility criteria, most were male (96.9%). The most common etiology for cirrhosis was hepatitis C (64.3%), and most of the patients had compensated cirrhosis (68.2%). The patient navigators reached 32.5% of patients by phone. Patients in each group were similar across clinical and demographic characteristics. Patients who were called were more likely to undergo surveillance (adjusted odds ratio = 2.56, 95% confidence interval: 1.03‐6.33). Most of the patients (72.1%) completed abdominal imaging when reached by phone. Conclusion: Targeted outreach increased uptake of HCC surveillance among patients with cirrhosis in a large, integrated, VA health care system., HCC surveillance in patients with cirrhosis is recommended by society guidelines, yet suboptimal. In this quality improvement outreach pilot study within a large VA, we demonstrate that HCC surveillance improves by telephone and mail outreach of patients who have confirmed cirrhosis and had not been screened.

The presence of advanced fibrosis is an important measure of the severity of chronic liver disease. Prior works that have examined the gut microbiome as a novel biomarker for advanced fibrosis have only examined patients with nonalcoholic fatty liver disease. Therefore, our goal was to examine the gut microbiome across varying etiologies of liver disease to create a predictive model for liver fibrosis based upon a microbial signature. Stool samples were obtained from patients with chronic liver disease (n = 50) undergoing FibroScan (ultrasound elastography) at the VA Greater Los Angeles Healthcare System. Healthy control patients (n = 25) were also recruited as a reference population. Fecal samples underwent 16S ribosomal RNA sequencing. Using differentially abundant microbes, a random forest classifier model was created to distinguish advanced fibrosis from mild/moderate fibrosis. The findings were then validated in a separate cohort of chronic liver disease patients (n = 37). Etiologies for liver disease included non-alcoholic liver disease (58.0%), hepatitis C (26.0%), hepatitis B (10.0%), and alcohol (6.0%). Microbiome composition was distinct in liver patients with advanced fibrosis compared to those with minimal fibrosis and healthy controls (p = 0.003). In multivariate negative binomial modeling, 26 bacterial taxa were differentially abundant in patients with advanced fibrosis as compared to those with minimal/moderate fibrosis (q-value Prevotella copri, which was enriched in patients with advanced fibrosis, was the most strongly predictive microbe in the classifier. The classifier had an AUROC of 0.82 for advanced fibrosis in the validation cohort and Prevotella copri remained the strongest predictive microbe for advanced fibrosis. There is a distinct microbial signature for patients with advanced fibrosis independent of liver disease etiology and other comorbidities. These results suggest that microbial profiles can be used as a non-invasive marker for advanced fibrosis and support the hypothesis that microbes and their metabolites contribute to hepatic fibrosis.

Background: There is conflicting evidence regarding prevalence and incidence of atherosclerotic cardiovascular disease (ASCVD) in patients with liver cirrhosis. The risk factors associated with ASCVD within this group of patients have not been investigated previously. Methods and Results: This is a retrospective longitudinal study utilizing the Veterans Affairs (VA) Greater Los Angeles Electronic Medical Record of 623 patients with diagnosis of liver disease. We investigated the incidence of ASCVD events and risk factors associated with ASCVD in these patients. We observed an increase in prevalence of ASCVD events in patients with cirrhosis compared to liver disease patients without cirrhosis (19.12% vs 2.46%). Although the cirrhosis group patients were older but, in our Cox-regression model, after adjusting for traditional ASCVD risk factors especially age, cirrhosis remained a major risk factor for ASCVD events with a hazard ratio (HR) of 5.73 (CI: 2.74-12.72). In the subgroup analysis of cirrhosis group, transferrin saturation greater or equal to 40% had 4.27 times higher risk of ASCVD events than lower transferrin saturation. Conclusion: We propose that the liver damage and subsequent decrease in hepcidin production in patients with cirrhosis would cause a major increase in Non-Transferrin-Bound Iron (NTBI) in circulation. Circula-ting NTBI promotes endothelial dysfunction, produces reactive oxygen species (ROS), and exposes important biomolecules, like low density lipoprotein (LDL), to oxidative stress to facilitate atherosclerosis. Accordingly, these epidemiological results provide evidence for further translational investigations to identify factors to mitigate the development of ASCVD.

AIM Cirrhosis is a leading cause of death worldwide, yet there are no well-established risk stratifying tools for lethal complications, including hepatocellular carcinoma (HCC). Patients with liver cirrhosis undergo routine endoscopic surveillance, providing ready access to duodenal aspirate samples that could be a source for identifying novel biomarkers. The aim of this study was to characterize the microbiome and bile acid profiles in duodenal aspirates from patients with liver cirrhosis to assess the feasibility of developing biomarkers for HCC risk stratification. METHODS Thirty patients with liver cirrhosis were enrolled in the Microbiome, Microbial Markers, and Liver Disease study between May 2015 and March 2017. Detailed clinical and epidemiological data were collected at baseline and at 6-monthly follow-up visits. Duodenal aspirate fluid was collected at baseline for microbial characterization using 16S ribosomal RNA sequencing and bile acid quantification using mass spectroscopy. RESULTS Alcohol-related cirrhosis was associated with reductions in the Bacteroidetes phylum, particularly Prevotella (13-fold reduction), and expansion of Staphylococcus (13-fold increase), compared to hepatitis C virus-related cirrhosis. Participants with hepatic encephalopathy (HE) had less microbial diversity compared to patients without HE (P

Secukinumab is an interleukin-17 inhibitor used for the treatment of ankylosing spondylitis (AS), psoriasis, and psoriatic arthritis. The risk of exacerbating underlying inflammatory bowel disease (IBD) in patients being treated with secukinumab for other conditions is controversial. We document a patient with AS and previously undiagnosed IBD, found to be in a severe ulcerative colitis flare shortly after receiving the loading dose of secukinumab. There are no guidelines regarding biologic salvage therapy for IBD in the setting of active treatment with another biologic agent. After waiting one half-life of secukinumab, our patient had an excellent response to initiation of infliximab.

Hereditary hemorrhagic telangiectasia (HHT), also called Osler-Weber-Rendu syndrome, is an autosomal dominant genetic disease that affects the vasculature of numerous organs. The prevalence of HHT is estimated to be between 1.5 and 2 persons per 10,000. While there is still much to learn about this condition, there is an increasing understanding its underlying pathophysiology, genetic basis, presentations, and management. Recognizing that the clinical manifestations of HHT can involve a number of organ systems will provide clinicians with a higher index of suspicion for the disease. This early diagnosis and genotyping can greatly reduce mortality for a patient with HHT through appropriate screening for complications. This review will focus on the gastrointestinal manifestations of HHT and how these can dictate treatment and prognosis.

At present there is no universally accepted classification for gastritis. The first successful classification (The Sydney System) that is still commonly used by medical professionals was first introduced by Misiewicz et al in Sydney in 1990. In fact, it was the first detailed classification after the discovery of Helicobacter pylori by Warren and Marshall in 1982. In 1994, the Updated Sydney System was proposed during the International Workshop on the Histopathology of Gastritis followed by the publication in The American Journal of Surgical Pathology by Dixon et al. Using the new classification, distinction between atrophic and nonatrophic gastritis was revised, and the visual scale grading was incorporated. According to the Updated Sydney System Classification, atrophic gastritis is categorized into multifocal (H. pylori, environmental factors, specific diet) and corpus-predominant (autoimmune). Since metaplasia is a key histological characteristic in patients with atrophic gastritis, it has been recommended to use the word "metaplastic" in both variants of atrophic gastritis: autoimmune metaplastic atrophic gastritis (AMAG) and environmental metaplastic atrophic gastritis. Although there are many overlaps in the course of the disease and distinction between those two entities may be challenging, the aim of this review article was to describe the etiology, epidemiology, pathogenesis, diagnosis, clinical manifestations and treatment in patients with AMAG. However, it is important to mention that H. pylori is the most common etiologic factor for the development of gastritis in the world.

Identifying gene-environment interactions (GxEs) contributing to human cardiometabolic disorders is challenging. Here we apply a reverse GxE candidate search by deriving candidate variants from promoter-enhancer interactions that respond to dietary fatty acid challenge through altered chromatin accessibility in human primary adipocytes. We then test all variants residing in the lipid-responsive open chromatin sites within adipocyte promoter-enhancer contacts for interaction effects between the genotype and dietary saturated fat intake on body mass index (BMI) in the UK Biobank. We discover 14 novel GxE variants in 12 lipid-responsive promoters, including well-known lipid genes (LIPE, CARM1, and PLIN2) and novel genes, such as LDB3, for which we provide further functional and integrative genomics evidence. We further identify 24 GxE variants in enhancers, totaling 38 new GxE variants for BMI in the UK Biobank, demonstrating that molecular genomics data produced in physiologically relevant contexts can discover new functional GxE mechanisms in humans.

Vasoactive intestinal peptide (VIP) and pituitary adenylate cyclase-activating peptide (PACAP) receptors (nomenclature as agreed by the NC-IUPHAR Subcommittee on Vasoactive Intestinal Peptide Receptors [64, 65]) are activated by the endogenous peptides VIP, PACAP-38, PACAP-27, peptide histidine isoleucineamide (PHI), peptide histidine methionineamide (PHM) and peptide histidine valine (PHV). VPAC1 and VPAC2 receptors display comparable affinity for the PACAP peptides, PACAP-27 and PACAP-38, and VIP, whereas PACAP-27 and PACAP-38 are >100 fold more potent than VIP as agonists of most isoforms of the PAC1 receptor. However, one splice variant of the human PAC1 receptor has been reported to respond to PACAP-38, PACAP-27 and VIP with comparable affinity [29]. PG 99-465 [115] has been used as a selective VPAC2 receptor antagonist in a number of physiological studies, but has been reported to have significant activity at VPAC1 and PAC1 receptors [35]. The selective PAC1 receptor agonist maxadilan, was extracted from the salivary glands of sand flies (Lutzomyia longipalpis) and has no sequence homology to VIP or the PACAP peptides [116]. Two deletion variants of maxadilan, M65 [180] and Max.d.4 [117] have been reported to be PAC1 receptor antagonists, but these peptides have not been extensively characterised.

The original version of this article unfortunately contained mistakes. The captured article title and corresponding author were incorrect.

Background: People with new-onset diabetes face higher risk of pancreatic cancer (PC). However, data on PC risk in people with more advanced stages of diabetes are lacking. We aimed to identify factors associated with PC among people with progressing diabetes. Methods: We conducted a retrospective cohort study on veterans aged ≥50, who were treated with either combination oral hypoglycemic therapy (n=578,543) or insulin (n=609,687) at the VA in 2000-2016. Incident PC was determined through the electronic health records and cancer registries. We examined the association of multiple risk factors with PC using Cox regression analyses. Results: In both people initiating combination therapy and in those initiating insulin, increasing age, male sex, non-Hispanic ancestry, current smoking, acute and chronic pancreatitis, abdominal pain, alcoholism, increase in A1c, and decrease in weight were associated with increased risk of PC (Table). Based on the multivariable model, we can identify sub-populations with ≥5% risk of PC, such as ≥75 year-old non-Hispanic white males initiating insulin who have a history of alcoholism, and who show ≥2% increase in A1c and ≥15% decrease in weight prior to insulin initiation. Conclusion: We identified risk factors associated with PC among people initiating combination oral hypoglycemics or insulin, which may be useful for stratifying people who may benefit from screening for PC. Disclosure C.Y. Jeon: None. M.O. Goodarzi: None. Y. Lin: None. S. Kim: None. T. Moin: None. J.R. Pisegna: None. Funding National Cancer Institute (R21CA220073)