Browsing by Author "Park, Walter G."
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Item A Reduced Pancreatic Polypeptide Response is Associated With New-onset Pancreatogenic Diabetes Versus Type 2 Diabetes(The Endocrine Society, 2023) Hart, Phil A.; Kudva, Yogish C.; Yadav, Dhiraj; Andersen, Dana K.; Li, Yisheng; Toledo, Frederico G. S.; Wang, Fuchenchu; Bellin, Melena D.; Bradley, David; Brand, Randall E.; Cusi, Kenneth; Fisher, William; Mather, Kieren; Park, Walter G.; Saeed, Zeb; Considine, Robert V.; Graham, Sarah C.; Rinaudo, Jo Ann; Serrano, Jose; Goodarzi, Mark O.; Medicine, School of MedicinePurpose: Pancreatogenic diabetes refers to diabetes mellitus (DM) that develops in the setting of a disease of the exocrine pancreas, including pancreatic ductal adenocarcinoma (PDAC) and chronic pancreatitis (CP). We sought to evaluate whether a blunted nutrient response of pancreatic polypeptide (PP) can differentiate these DM subtypes from type 2 DM (T2DM). Methods: Subjects with new-onset DM (<3 years' duration) in the setting of PDAC (PDAC-DM, n = 28), CP (CP-DM, n = 38), or T2DM (n = 99) completed a standardized mixed meal tolerance test, then serum PP concentrations were subsequently measured at a central laboratory. Two-way comparisons of PP concentrations between groups were performed using Wilcoxon rank-sum test and analysis of covariance while adjusting for age, sex, and body mass index. Results: The fasting PP concentration was lower in both the PDAC-DM and CP-DM groups than in the T2DM group (P = 0.03 and <0.01, respectively). The fold change in PP at 15 minutes following meal stimulation was significantly lower in the PDAC-DM (median, 1.869) and CP-DM (1.813) groups compared with T2DM (3.283; P < 0.01 for both comparisons). The area under the curve of PP concentration was significantly lower in both the PDAC-DM and CP-DM groups than in T2DM regardless of the interval used for calculation and remained significant after adjustments. Conclusions: Fasting PP concentrations and the response to meal stimulation are reduced in new-onset DM associated with PDAC or CP compared with T2DM. These findings support further investigations into the use of PP concentrations to characterize pancreatogenic DM and to understand the pathophysiological role in exocrine pancreatic diseases.Item Association of Chronic Pancreatitis Pain Features With Physical, Mental, and Social Health(Elsevier, 2023) Yadav, Dhiraj; Askew, Robert L.; Palermo, Tonya; Li, Liang; Andersen, Dana K.; Chen, Minxing; Fisher, William E.; Fogel, Evan L.; Forsmark, Christopher E.; Hart, Phil A.; Othman, Mohamed O.; Pandol, Stephen J.; Park, Walter G.; Topazian, Mark D.; Van Den Eeden, Stephen K.; Swaroop Vege, Santhi; Yang, Yunlong; Serrano, Jose; Conwell, Darwin L.; Consortium for the Study of Chronic Pancreatitis; Diabetes, and Pancreatic Cancer (CPDPC); Medicine, School of MedicineBackground and aims: Pain is a cardinal symptom of chronic pancreatitis (CP). Using Patient-Reported Outcomes Measurement Information System (PROMIS) measures, we characterized physical and mental health and symptom profiles of a well-defined cohort of individuals with CP and compared them with control subjects. Among patients with CP, we also examined associations between pain (intensity, temporal nature) and PROMIS symptom profiles and the prevalence of clinically significant psychological comorbidities. Methods: We analyzed baseline data in 488 CP patients and 254 control subjects enrolled in PROCEED (Prospective Evaluation of Chronic Pancreatitis for Epidemiologic and Translational Studies), an ongoing longitudinal cohort study. Participants completed the PROMIS-Global Health, which captures global physical and mental health, and the PROMIS-29 profile, which captures 7 symptom domains. Self-reported pain was categorized by severity (none, mild-moderate, severe) and temporal nature (none, intermittent, constant). Demographic and clinical data were obtained from the PROCEED database. Results: Pain was significantly associated with impairments in physical and mental health. Compared with participants with no pain, CP participants with severe pain (but not mild-moderate pain) had more decrements in each PROMIS domain in multivariable models (effect sizes, 2.54-7.03) and had a higher prevalence of clinically significant depression, anxiety, sleep disturbance, and physical disability (odds ratios, 2.11-4.74). Similar results were noted for constant pain (but not intermittent pain) for PROMIS domains (effect sizes, 4.08-10.37) and clinically significant depression, anxiety, sleep disturbance and physical disability (odds ratios, 2.80-5.38). Conclusions: Severe and constant pain are major drivers for poor psychological and physical health in CP. Systematic evaluation and management of psychiatric comorbidities and sleep disturbance should be incorporated into routine management of patients with CP.Item Characterizing mechanism-based pain phenotypes in patients with chronic pancreatitis: a cross-sectional analysis of the PROspective Evaluation of Chronic Pancreatitis for EpidEmiologic and Translational StuDies(Wolters Kluwer, 2023) Saloman, Jami L.; Conwell, Darwin L.; Fogel, Evan; Vege, Santhi Swaroop; Li, Liang; Li, Shuang; Andersen, Dana K.; Fisher, William E.; Forsmark, Christopher E.; Hart, Phil A.; Pandol, Stephen J.; Park, Walter G.; Evans Phillips, Anna; Topazian, Mark; Van Den Eeden, Stephen K.; Serrano, Jose; Yadav, Dhiraj; Consortium for the Study of Chronic Pancreatitis, Diabetes and Pancreatic Cancer; Medicine, School of MedicinePain is common in chronic pancreatitis (CP) and profoundly reduces quality of life (QoL). Multiple underlying mechanisms contribute to a heterogenous pain experience and reduce efficacy of pain management. This study was designed to characterize the distribution of mechanism-based pain phenotypes in painful CP. The data analyzed were collected as part of the PROspective Evaluation of Chronic Pancreatitis for EpidEmiologic and Translational StuDies, an NCI/NIDDK-funded longitudinal study of the natural history of CP. The PROspective Evaluation of Chronic pancreatitis for EpidEmiologic and translational stuDies includes patient-reported outcome (PRO) measures of pain, medication use, global health, and QoL. Of subjects (N = 681) with CP, 80% experienced abdominal pain within the year before enrollment. Subjects who experienced pain in the week before enrollment (N = 391) completed PROMIS Neuropathic and Nociceptive Pain Quality instruments which were then used to classify them by pain type: 40% had nociceptive, 5% had neuropathic-like, and 32% had both types of pain. The prevalence of having both types of pain was higher among women and subjects with diabetes mellitus, whereas nociceptive-only pain was more prevalent among men and those with pancreatic duct stricture. Other factors, including pain medication use and healthcare utilization, did not differ between groups based on pain type. Subjects in the Both group had significantly worse health and QoL scores relative to those with nociceptive-only pain, suggesting that using psychosocial pain surveys may be useful for understanding pain subtypes in patients with CP. Additional research is needed to identify biochemical and biophysical signatures that may associate with and predict responses to mechanism-specific interventions.Item Design and Rationale for the Use of Magnetic Resonance Imaging Biomarkers to Predict Diabetes After Acute Pancreatitis in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium(Wolters Kluwer, 2022) Tirkes, Temel; Chinchilli, Vernon M.; Bagci, Ulas; Parker, Jason G.; Zhao, Xuandong; Dasyam, Anil K.; Feranec, Nicholas; Grajo, Joseph R.; Shah, Zarine K.; Poullos, Peter D.; Spilseth, Benjamin; Zaheer, Atif; Xie, Karen L.; Wachsman, Ashley M.; Campbell-Thompson, Martha; Conwell, Darwin L.; Fogel, Evan L.; Forsmark, Christopher E.; Hart, Phil A.; Pandol, Stephen J.; Park, Walter G.; Pratley, Richard E.; Yazici, Cemal; Laughlin, Maren R.; Andersen, Dana K.; Serrano, Jose; Bellin, Melena D.; Yadav, Dhiraj; Type 1 Diabetes in Acute Pancreatitis Consortium (T1DAPC); Radiology and Imaging Sciences, School of MedicineThis core component of the Diabetes RElated to Acute pancreatitis and its Mechanisms (DREAM) study will examine the hypothesis that advanced magnetic resonance imaging (MRI) techniques can reflect underlying pathophysiologic changes and provide imaging biomarkers that predict diabetes mellitus (DM) following acute pancreatitis (AP). A subset of participants in the DREAM study will enroll and undergo serial MRI examinations using a specific research protocol. We aim to differentiate at-risk individuals from those who remain euglycemic by identifying parenchymal features following AP. Performing longitudinal MRI will enable us to observe and understand the natural history of post-AP DM. We will compare MRI parameters obtained by interrogating tissue properties in euglycemic, prediabetic and incident diabetes subjects and correlate them with metabolic, genetic, and immunological phenotypes. Differentiating imaging parameters will be combined to develop a quantitative composite risk score. This composite risk score will potentially have the ability to monitor the risk of DM in clinical practice or trials. We will use artificial intelligence, specifically deep learning, algorithms to optimize the predictive ability of MRI. In addition to the research MRI, the DREAM study will also correlate clinical computerized tomography and MRI scans with DM development.Item Diagnosis of chronic pancreatitis using semi-quantitative MRI features of the pancreatic parenchyma: results from the multi-institutional MINIMAP study Temel Tirkes1,18, Dhiraj Yadav2(Springer, 2023) Tirkes, Temel; Yadav, Dhiraj; Conwell, Darwin L.; Territo, Paul R.; Zhao, Xuandong; Persohn, Scott A.; Dasyam, Anil K.; Shah, Zarine K.; Venkatesh, Sudhakar K.; Takahashi, Naoki; Wachsman, Ashley; Li, Liang; Li, Yan; Pandol, Stephen J.; Park, Walter G.; Swaroop Vege, Santhi; Hart, Phil A.; Topazian, Mark; Andersen, Dana K.; Fogel, Evan L.; Consortium for the Study of Chronic Pancreatitis, Diabetes, Pancreatic Cancer (CPDPC); Radiology and Imaging Sciences, School of MedicinePurpose: To determine the diagnostic performance of parenchymal MRI features differentiating CP from controls. Methods: This prospective study performed abdominal MRI scans at seven institutions, using 1.5 T Siemens and GE scanners, in 50 control and 51 definite CP participants, from February 2019 to May 2021. MRI parameters included the T1-weighted signal intensity ratio of the pancreas (T1 score), arterial-to-venous enhancement ratio (AVR) during venous and delayed phases, pancreas volume, and diameter. We evaluated the diagnostic performance of these parameters individually and two semi-quantitative MRI scores derived using logistic regression: SQ-MRI Model A (T1 score, AVR venous, and tail diameter) and Model B (T1 score, AVR venous, and volume). Results: When compared to controls, CP participants showed a significantly lower mean T1 score (1.11 vs. 1.29), AVR venous (0.86 vs. 1.45), AVR delayed (1.07 vs. 1.57), volume (54.97 vs. 80.00 ml), and diameter of the head (2.05 vs. 2.39 cm), body (2.25 vs. 2.58 cm), and tail (1.98 vs. 2.51 cm) (p < 0.05 for all). AUCs for these individual MR parameters ranged from 0.66 to 0.79, while AUCs for the SQ-MRI scores were 0.82 and 0.81 for Model A (T1 score, AVR venous, and tail diameter) and Model B (T1 score, AVR venous, and volume), respectively. After propensity-matching adjustments for covariates, AUCs for Models A and B of the SQ-MRI scores increased to 0.92 and 0.93, respectively. Conclusion: Semi-quantitative parameters of the pancreatic parenchyma, including T1 score, enhancement ratio, pancreas volume, diameter and multi-parametric models combining these parameters are helpful in diagnosis of CP. Longitudinal analyses including more extensive population are warranted to develop new diagnostic criteria for CP.Item Distinct serum immune profiles define the spectrum of acute and chronic pancreatitis from the multi-center PROCEED study(AGA, 2023-07) Lee, Bomi; Jones, Elaina K.; Manohar, Murli; Li, Liang; Yadav, Dhiraj; Conwell, Darwin L.; Hart, Phil A.; Vege, Santhi Swaroop; Fogel, Evan L.; Serrano, Jose; Anderson, Dana; Bellin, Melena D.; Topazian, Mark D.; Van Den Eeden, Stephen K.; Pandol, Stephen J.; Forsmark, Chris E.; Fisher, William E.; Park, Walter G.; Husain, Sohail Z.; Habtezion, Aida; Medicine, School of MedicineBackground & Aims Pancreatitis is a disease continuum, starting with acute pancreatitis (AP) and progressing in some cases to recurrent acute pancreatitis (RAP) and chronic pancreatitis (CP). Currently, there are no approved therapies or early diagnostic or prognostic biomarkers for pancreatitis. The current study examined whether patient serum immune profiling could identify noninvasive biomarkers and provide mechanistic insight into the disease continuum of pancreatitis. Methods Using Olink immunoassay, we assessed the protein levels of 92 immune markers in serum samples from participants enrolled in the Prospective Evaluation of Chronic Pancreatitis for Epidemiologic and Translational Studies (PROCEED) study of the Chronic Pancreatitis, Diabetes, and Pancreatic Cancer (CPDPC) consortium. Samples (N = 231) were obtained from individuals without pancreatic disease (n = 56) and from those with chronic abdominal pain (CAP) (n = 24), AP (n = 38), RAP (n = 56), and CP (n = 57). Results A total of 33 immune markers differentiated the combined pancreatitis groups from controls. Immune markers related to interleukin (IL) 17 signaling distinguished CP from AP and RAP. Similarly, the serum level of IL17A and C-C motif chemokine ligand 20 differentiated CP from CAP, suggesting the involvement of T helper 17 cells in CP pathogenesis. The receiver operator characteristic curve with 2 immune markers (IL17A and sulfotransferase 1A1) could differentiate CP from CAP (optimistic area under the curve = 0.78). The macrophage classical activation pathway elevated along the continuum of pancreatitis, suggesting an accumulation of proinflammatory signals over disease progression. Several immune markers were associated with smoking, alcohol, and diabetes status. Conclusions Immune profiling of serum samples from a large pancreatitis cohort led to identifying distinct immune markers that could serve as potential biomarkers to differentiate the varying pancreatitis disease states. In addition, the finding of IL17 signaling in CP could provide insight into the immune mechanisms underlying disease progression.Item Endoscopic Ultrasound and Related Technologies for the Diagnosis and Treatment of Pancreatic Disease - Research Gaps and Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop(Lippincott, Williams & Wilkins, 2017) Lee, Linda S.; Andersen, Dana K.; Ashida, Reiko; Brugge, William R.; Canto, Mimi I.; Chang, Kenneth J.; Chari, Suresh T.; DeWitt, John; Hwang, Joo Ha; Khashab, Mouen A.; Kim, Kang; Levy, Michael J.; McGrath, Kevin; Park, Walter G.; Singhi, Aatur; Stevens, Tyler; Thompson, Christopher C.; Topazian, Mark D.; Wallace, Michael B.; Wani, Sachin; Waxman, Irving; Yadav, Dhiraj; Singh, Vikesh K.; Medicine, School of MedicineA workshop was sponsored by the National Institute of Diabetes and Digestive and Kidney Diseases to address the research gaps and opportunities in pancreatic endoscopic ultrasound (EUS). The event occurred on July 26, 2017 in 4 sessions: (1) benign pancreatic diseases, (2) high-risk pancreatic diseases, (3) diagnostic and therapeutics, and (4) new technologies. The current state of knowledge was reviewed, with identification of numerous gaps in knowledge and research needs. Common themes included the need for large multicenter consortia of various pancreatic diseases to facilitate meaningful research of these entities; to standardize EUS features of different pancreatic disorders, the technique of sampling pancreatic lesions, and the performance of various therapeutic EUS procedures; and to identify high-risk disease early at the cellular level before macroscopic disease develops. The need for specialized tools and accessories to enable the safe and effective performance of therapeutic EUS procedures also was discussed.Item Global protease activity profiling provides differential diagnosis of pancreatic cysts(American Association for Cancer Research, 2017-08-15) Ivry, Sam L.; Sharib, Jeremy M.; Dominguez, Dana A.; Roy, Nilotpal; Hatcher, Stacy E.; Yip-Schneider, Michele T.; Schmidt, C. Max; Brand, Randall E.; Park, Walter G.; Hebrok, Matthias; Kim, Grace E.; O'Donoghue, Anthony J.; Kirkwood, Kimberly S.; Craik, Charles S.; Surgery, School of MedicinePurpose: Pancreatic cysts are estimated to be present in 2%-3% of the adult population. Unfortunately, current diagnostics do not accurately distinguish benign cysts from those that can progress into invasive cancer. Misregulated pericellular proteolysis is a hallmark of malignancy, and therefore, we used a global approach to discover protease activities that differentiate benign nonmucinous cysts from premalignant mucinous cysts.Experimental Design: We employed an unbiased and global protease profiling approach to discover protease activities in 23 cyst fluid samples. The distinguishing activities of select proteases was confirmed in 110 samples using specific fluorogenic substrates and required less than 5 μL of cyst fluid.Results: We determined that the activities of the aspartyl proteases gastricsin and cathepsin E are highly increased in fluid from mucinous cysts. IHC analysis revealed that gastricsin expression was associated with regions of low-grade dysplasia, whereas cathepsin E expression was independent of dysplasia grade. Gastricsin activity differentiated mucinous from nonmucinous cysts with a specificity of 100% and a sensitivity of 93%, whereas cathepsin E activity was 92% specific and 70% sensitive. Gastricsin significantly outperformed the most widely used molecular biomarker, carcinoembryonic antigen (CEA), which demonstrated 94% specificity and 65% sensitivity. Combined analysis of gastricsin and CEA resulted in a near perfect classifier with 100% specificity and 98% sensitivity.Conclusions: Quantitation of gastricsin and cathepsin E activities accurately distinguished mucinous from nonmucinous pancreatic cysts and has the potential to replace current diagnostics for analysis of these highly prevalent lesions. Clin Cancer Res; 23(16); 4865-74. ©2017 AACR.Item High Prevalence of Osteopathy in Chronic Pancreatitis: A Cross-sectional Analysis From the PROCEED Study(Elsevier, 2022) Hart, Phil A.; Yadav, Dhiraj; Li, Liang; Appana, Savi; Fisher, William; Fogel, Evan; Forsmark, Chris E.; Park, Walter G.; Pandol, Stephen; Topazian, Mark D.; Van Den Eden, Stephen K.; Vege, Santhi Swaroop; Bradley, David; Serrano, Jose; Conwell, Darwin L.; Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer (CPDPC); Medicine, School of MedicineBackground & aims: Chronic pancreatitis (CP) is associated with osteopathy (osteoporosis or osteopenia). However, existing literature is mostly limited to retrospective or administrative studies that have not clearly defined the prevalence and risk factors. Our aim was to identify patient- and disease-related associations with osteopathy in a prospective cohort study of CP. Methods: We studied 282 subjects with definitive CP enrolled in the PROCEED study who had a baseline dual-energy X-ray absorptiometry (DXA) scan. Osteopenia and osteoporosis were defined using the lowest T-scores. Clinical data were collected using standardized case report forms. Comparisons were performed with a multivariate logistic regression model with forward selection to identify risk factors for osteopathy. Results: The majority of subjects had osteopathy on DXA scan (56.0%; 17.0% osteoporosis; 39.0% osteopenia). Subjects with osteopathy had a higher prevalence of traumatic (40.0% vs 26.4%; P = .02) and spontaneous fractures (3.9% vs 0; P = .04). On multivariate analysis, older age (odds ratio [OR], 1.29 per 5 years; 95% confidence interval [CI], 1.15-1.45), female sex (OR, 3.08; 95% CI, 1.75-5.43), white race (OR, 2.68; 95% CI, 1.20-6.01), and underweight body mass index category (OR, 7.40; 95% CI, 1.56-34.99) were associated with higher probability of osteopathy. There were no significant associations between osteopathy and other patient and disease-related features of CP. Conclusion: In the largest study of patients with CP who underwent DXA screening, the majority had osteopathy. There are overlapping risk factors with osteopathy in the general population, but the high prevalence in men and younger women supports the need for future investigations into the mechanisms of bone loss in CP.Item Magnetic resonance imaging as a non-invasive method for the assessment of pancreatic fibrosis (MINIMAP): a comprehensive study design from the consortium for the study of chronic pancreatitis, diabetes, and pancreatic cancer(Springer, 2019-05-14) Tirkes, Temel; Yadav, Dhiraj; Conwell, Darwin L.; Territo, Paul R.; Zhao, Xuandong; Venkatesh, Sudhakar K.; Kolipaka, Arunark; Li, Liang; Pisegna, Joseph R.; Pandol, Stephen J.; Park, Walter G.; Topazian, Mark; Serrano, Jose; Fogel, Evan L.; Radiology and Imaging Sciences, School of MedicineCharacteristic features of chronic pancreatitis (CP) may be absent on standard imaging studies. Quantitative Magnetic Resonance Imaging (MRI) techniques such as T1 mapping, extracellular volume (ECV) fraction, diffusion-weighted imaging (DWI) with apparent diffusion coefficient map (ADC), MR elastography (MRE), and T1-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 T1 relaxometry, ECV, T1-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.